CN116299442A - Mining-induced surface deformation monitoring method and device, electronic equipment and storage medium - Google Patents
Mining-induced surface deformation monitoring method and device, electronic equipment and storage medium Download PDFInfo
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Abstract
The invention discloses a mining induced surface deformation monitoring method, a mining induced surface deformation monitoring device, electronic equipment and a storage medium, wherein the mining induced surface deformation monitoring method comprises the following steps: acquiring a first deformation result of the target area according to the data information, analyzing the ground potential hazard in the first working area, and acquiring a second deformation result of the nearby area according to the data information of the nearby area of the target area to acquire the ground potential hazard in the second working area, so as to determine the actual ground potential hazard; acquiring a high-resolution digital ground model and an orthographic image from an unmanned aerial vehicle image, establishing a three-dimensional earth surface model and acquiring the change characteristics of the topography and the landform of a target area; and establishing interpretation features based on the satellite optical remote sensing images, classifying the change features of the topography and the landform, and further evaluating the potential harm of the surface deformation to different types of ground facilities. According to the embodiment of the application, the cost of manpower and material resources can be effectively reduced, and the real-time performance and the accuracy of monitoring the surface deformation of the goaf are improved.
Description
Technical Field
The application relates to the technical field of surface deformation monitoring, in particular to a mining induced surface deformation monitoring method, a mining induced surface deformation monitoring device, electronic equipment and a storage medium.
Background
In the related technology, the monitoring method of the goaf ground surface deformation is mainly used for measuring the position and the change of a certain point or a certain small range of the ground surface through the technologies of a level gauge, a total station, a theodolite, a global positioning system and the like, so that the ground surface deformation is monitored and analyzed to prevent serious disasters such as landslide, collapse, ground collapse and the like which are possibly induced.
However, the technologies such as leveling monitoring in the related art increase the workload, field operation period is longer, and the cost of manpower and material resources is increased, especially the monitoring precision in the terrain complex area is easily interfered, and the precision of goaf deformation monitoring is reduced, so that the problem is to be solved.
Disclosure of Invention
The present application is based on the inventors' knowledge and knowledge of the following problems:
the earth surface deformation is a slowly-changing and irreversible geological phenomenon under the induction of human engineering activities or natural factors, most cities in China face a plurality of problems caused by the earth surface deformation nowadays, and the earth surface deformation is monitored and analyzed accurately in real time, so that the earth surface deformation has important significance in preventing more serious disasters such as landslide, collapse, ground collapse and the like which are possibly induced.
The technical problems faced by the current surface deformation monitoring mainly comprise two aspects, namely, on one hand, the traditional monitoring technology is mostly based on observation data of discrete points, the coverage range and the space density of the monitoring points are limited by various factors, and the large-scale and wide-range ground deformation is difficult to monitor and analyze effectively, on the other hand, mineral resource enrichment areas and large engineering construction areas of China are mostly located in areas with remote geographic positions, complicated topography and bad climate conditions, and under the complex natural conditions, the traditional monitoring operation is not only required to consume a large amount of manpower and material resources, but also is faced with huge challenges brought by inconvenient traffic, difficult communication and the like.
The application provides a mining induced earth surface deformation monitoring method, device, electronic equipment and storage medium, which are used for solving the problems that the technical problems of leveling monitoring and the like in the related technology increases the workload, the field operation period is longer, the cost of manpower and material resources is increased, the monitoring precision is easily interfered especially in a terrain complex area, the accuracy of goaf deformation monitoring is reduced and the like.
An embodiment of a first aspect of the present application provides a method for monitoring mining induced surface deformation, including the steps of: collecting data in the selected target area; acquiring a first deformation result of the target area according to the data material, and analyzing the ground potential hazard in the first working area based on the deformation result; acquiring a second deformation result of the nearby area according to the data information of the nearby area of the target area, obtaining the ground potential hazard in a second working area, and determining the actual ground potential hazard by combining the first deformation result and the second deformation result; acquiring a high-resolution digital ground model and an orthographic image from an unmanned aerial vehicle image, establishing a three-dimensional earth surface model and acquiring the change characteristics of the topography and the landform of the target area; establishing interpretation features based on a preset satellite optical remote sensing image, and classifying the change features of the topography and the landform; and analyzing the earth surface deformation inducement and space-time characteristics of the target area according to the actual ground potential hazard and the classification result, and evaluating the potential hazard of the earth surface deformation to different types of ground facilities.
Optionally, in an embodiment of the present application, the obtaining a first deformation result of the target area according to the data material, and analyzing the ground potential hazard in the first working area based on the deformation result includes: performing influence processing on the data, and obtaining the deformation result by utilizing an InSAR (Interferometric Synthetic Aperture Radar, synthetic aperture radar interference) small baseline; and comprehensively analyzing the range of the deformation zone in the working zone according to the data material to obtain the ground potential hazard in the working zone.
Optionally, in one embodiment of the present application, the data material includes at least one of SAR (Synthetic Aperture Radar ) images, optical remote sensing images of related satellites, administrative division information, and mining weight information.
Optionally, in an embodiment of the present application, the determining the actual ground potential hazard by combining the first deformation result and the second deformation result includes: determining an overlap region of the target region and the vicinity region; and comparing the deformation results of the overlapped areas, and judging whether the deformation results reach a preset accurate condition or not so as to monitor the deformation when the preset accurate condition is reached.
Optionally, in an embodiment of the present application, the establishing the interpretation feature based on the preset satellite optical remote sensing image includes: processing the preset satellite optical remote sensing image to obtain at least one of color features, shape features, texture features and shadow features of the image; the interpreted feature is established from the at least one feature.
An embodiment of a second aspect of the present application provides a mining-induced surface deformation monitoring device, comprising: the collecting module is used for collecting data in the selected target area; the acquisition module is used for acquiring a first deformation result of the target area according to the data material and analyzing the ground potential hazard in the first working area based on the deformation result; the determining module is used for obtaining a second deformation result of the nearby area according to the data material of the nearby area of the target area, obtaining the ground potential hazard in the second working area, and determining the actual ground potential hazard by combining the first deformation result and the second deformation result; the construction module is used for acquiring a high-resolution digital ground model and an orthographic image from the unmanned aerial vehicle image, establishing a three-dimensional ground surface model and acquiring the landform change characteristics of the target area; the classification module is used for establishing interpretation features based on a preset satellite optical remote sensing image and classifying the landform change features; and the evaluation module is used for analyzing the earth surface deformation inducement and space-time characteristics of the target area according to the actual ground potential hazard and the classification result and evaluating the potential hazard of the earth surface deformation to different types of ground facilities.
Optionally, in one embodiment of the present application, the acquiring module includes: the acquisition unit is used for performing influence processing on the data material and obtaining the deformation result by utilizing an InSAR small baseline; and the analysis unit is used for comprehensively analyzing the range of the deformation area in the working area according to the data materials to obtain the ground potential hazard in the working area.
Optionally, in one embodiment of the present application, the data material includes at least one of SAR images, optical remote sensing images of related satellites, administrative division information, and mining right information.
Optionally, in one embodiment of the present application, the determining module includes: a determination unit configured to determine an overlapping region of the target region and the vicinity region; and the judging unit is used for comparing the deformation results of the overlapped areas and judging whether the deformation results reach a preset accurate condition or not so as to monitor the deformation when the preset accurate condition is reached.
Optionally, in one embodiment of the present application, the classification module includes: the processing unit is used for processing the preset satellite optical remote sensing image to obtain at least one of color features, shape features, texture features and shadow features of the image; and the establishing unit is used for establishing the interpretation feature according to the at least one feature.
An embodiment of a third aspect of the present application provides an electronic device, including: the mining-induced surface deformation monitoring system comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the program to realize the mining-induced surface deformation monitoring method according to the embodiment.
In a fourth aspect, embodiments of the present application provide a computer readable storage medium storing a computer program which when executed by a processor implements a mining induced surface deformation monitoring method as above.
According to the method and the device for monitoring the surface deformation of the goaf, data materials in a selected target area can be collected, a first deformation result of the target area is obtained, the surface potential hazard in the first working area is analyzed, a second deformation result of a nearby area is obtained according to the data materials of the nearby area of the target area, and the surface potential hazard in the second working area is obtained, so that the actual surface potential hazard is determined, a high-resolution digital ground model and an orthographic image are obtained from an unmanned aerial vehicle image, a three-dimensional surface model is built, the topography and topography change characteristics of the target area are obtained, interpretation characteristics are built based on satellite optical remote sensing images, the topography and topography change characteristics are classified, the surface deformation inducement and space-time characteristics of the target area are analyzed according to the actual surface potential hazard and the classification result, the potential hazards of the surface deformation to different types of ground facilities are estimated, the cost of manpower and material resources is effectively reduced, and the real-time performance and accuracy of monitoring the surface deformation of the goaf are improved. Therefore, the problems that the workload is increased, the field operation period is long, the cost of manpower and material resources is increased, the monitoring precision is easily interfered in a terrain complex area, the accuracy of goaf deformation monitoring is reduced and the like in the related technologies are solved.
Additional aspects and advantages of the application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the application.
Drawings
The foregoing and/or additional aspects and advantages of the present application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings, in which:
FIG. 1 is a flow chart of a method for mining-induced surface deformation monitoring according to an embodiment of the present application;
FIG. 2 is a schematic illustration of locations of an example of a study area in accordance with one embodiment of the present application;
FIG. 3 is a diagram of cumulative deformation of a study region using SBAS-InSAR (Small Baseline Subset InSAR, differential interferometry short baseline set timing analysis technique) according to one embodiment of the present disclosure;
FIG. 4 is a schematic diagram of a surface deformation rate of a research area obtained by SBAS-InSAR technology according to an embodiment of the present application;
FIG. 5 is a diagram of a comparison verification result of InSAR processing results in a research region according to one embodiment of the present disclosure;
FIG. 6 is a schematic diagram of comparing and verifying monitoring results of a plurality of samples with different deformation trends in two InSAR processes according to one embodiment of the present disclosure;
FIG. 7 is a schematic representation of visual interpretation-based surface facility classification characteristics in accordance with an embodiment of the present application;
FIG. 8 is a diagram showing the monitoring results of a deformation zone of a research area with high sedimentation rate based on a multi-source remote sensing technology according to one embodiment of the present application;
FIG. 9 is a schematic diagram of potential hazard classification of a main deformation zone of a research area based on a multi-source remote sensing technology according to an embodiment of the present application;
FIG. 10 is a schematic illustration of the primary distribution of potential hazard areas of different building facilities within a research area in accordance with one embodiment of the present application;
FIG. 11 is a schematic diagram of a distribution of potentially damaging road segments for highways and railways within a research area according to one embodiment of the present application;
FIG. 12 is a schematic illustration of a mining-induced surface deformation monitoring process according to one embodiment of the present application;
FIG. 13 is a schematic structural view of a mining-induced surface deformation monitoring device according to an embodiment of the present application;
fig. 14 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
Embodiments of the present application are described in detail below, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the drawings are exemplary and intended for the purpose of explaining the present application and are not to be construed as limiting the present application.
The following describes a mining induced surface deformation monitoring method, a mining induced surface deformation monitoring device, an electronic device and a storage medium according to embodiments of the present application with reference to the accompanying drawings. Aiming at the problems that the technologies such as leveling monitoring in the related technology mentioned in the background technology center increase workload, field operation period is long, manpower and material resource cost is increased, particularly, the monitoring precision of a terrain complex area is easy to interfere, and the accuracy of goaf deformation monitoring is reduced, the application provides a mining induced earth surface deformation monitoring method. Therefore, the problems that the workload is increased, the field operation period is long, the cost of manpower and material resources is increased, the monitoring precision is easily interfered in a terrain complex area, the accuracy of goaf deformation monitoring is reduced and the like in the related technologies are solved.
Specifically, fig. 1 is a schematic flow chart of a method for monitoring mining induced surface deformation according to an embodiment of the present application.
As shown in fig. 1, the mining induced surface deformation monitoring method comprises the following steps:
in step S101, data in a selected target area is collected.
It can be understood that the embodiment of the application can collect the data of the target area selected in the following steps, thereby improving the accuracy of the data and the executable performance of the surface deformation monitoring.
Wherein, in one embodiment of the present application, the data material includes at least one of SAR images, optical remote sensing images of related satellites, administrative division information, and mining right information.
In some embodiments, the data of the target area including but not limited to SAR images, other satellite optical remote sensing images, administrative regions, mining weights, and the like can be collected and sorted, so that accuracy and instantaneity of acquiring the data are improved.
For example, as shown in fig. 2, in the embodiment of the present application, a partial range of a yangquan mining area in shanxi province is taken as a study area, the surface deformation of the study area is studied, 8 images of C-band of radar sat-2 sources with an interval of 24 days, a time span of 2016, 6, 16, and 1, and a ground resolution of 5m are arranged, landsat-8 optical remote sensing images taken at 2017, 1, 16, are selected as a basis for ground facility classification, and administrative division vector data, mining weight vector data, mining statistics data, and geological disaster investigation data of the study area are collected as supplements of the remote sensing data.
In step S102, a first deformation result of the target area is obtained according to the data material, and the ground potential hazard in the first working area is analyzed based on the deformation result.
It can be understood that the embodiment of the application can acquire the first deformation result of the target area according to the data materials in the following steps, and analyze the ground potential hazard in the first working area based on the deformation result, so that the monitoring efficiency of the ground surface deformation is improved.
In one embodiment of the present application, obtaining a first deformation result of a target area according to data material, and analyzing a ground potential hazard in a first working area based on the deformation result, including: performing influence processing on the data material, and obtaining a deformation result by utilizing the InSAR small base line; and comprehensively analyzing the range of the deformation zone in the working zone according to the data materials to obtain the potential hazard of the ground in the working zone.
In the actual execution process, the embodiment of the application can process SAR images of the research area, and comprehensively analyze the deformation area range in the working area by utilizing the deformation result obtained by the InSAR small baseline and combining with other SAR data time series analysis technologies and geological data to obtain the ground potential hazard in the working area, so that the accuracy and reliability of monitoring the deformation area range in the working area are improved.
The InSAR technology can provide a high-precision, high-resolution, non-contact and earth surface-based monitoring mode, fully meets the requirement of large-scale earth surface deformation monitoring of a goaf, simultaneously, needs a massive continuous and reliable data source for monitoring earth surface deformation disasters, can survey historical monitoring data of a target area at any time, helps to qualitatively and quantitatively analyze earth surface deformation degree, and overcomes the defects of the traditional remote sensing and the traditional earth surface measurement method.
For example, the SBAS-InSAR remote sensing image processing technology for the research area in the embodiment of the present application may be divided into six steps of baseline estimation and connection diagram generation, interferogram generation, adaptive filtering and coherence generation, phase unwrapping, track refining and re-leveling, inversion and geocoding, where the method may select the ena-SARscape software to perform SBAS-InSAR processing on the radar sat-2 image, select the SAR image with the imaging time of 2016 month 9 and 20 days as the super main image, set the time baseline range of 0-96 days, and the space baseline range of 0-310.6 m, and finally generate 17 pairs of interference pairs, as shown in fig. 3, and finally obtain the surface accumulated deformation of the solar spring mining area of 2016 month 6 month 16 to 2016 month 12 days, so as to obtain the deformation rate shown in fig. 4.
In step S103, a second deformation result of the nearby area is obtained according to the data of the nearby area of the target area, so as to obtain the ground potential hazard in the second working area, and the actual ground potential hazard is determined by combining the first deformation result and the second deformation result.
It can be understood that, according to the embodiment of the application, the second deformation result of the nearby area can be obtained according to the data information of the nearby area of the target area, the ground potential hazard in the second working area is obtained, and the actual ground potential hazard is determined by combining the first deformation result and the second deformation result in the following steps, so that the ground deformation monitoring efficiency is improved, and the cost of manpower and material resources for ground deformation monitoring is reduced.
Wherein, in an embodiment of the present application, determining the actual ground potential hazard in combination with the first deformation result and the second deformation result comprises: determining an overlapping region of the target region and the vicinity region; and comparing the deformation results of the overlapped areas, and judging whether the deformation results reach preset accurate conditions or not so as to monitor the deformation when the preset accurate conditions are reached.
In some embodiments, the same SBAS-InSAR processing method may be adopted in the embodiments of the present application to process other SAR data sets near the target area, and by comparing deformation results of overlapping areas in the two processing results, and judging whether the deformation results reach an accurate condition, deformation monitoring is performed when the deformation results reach the accurate condition, so that accuracy and reliability of the surface deformation monitoring result may be improved, and an intelligent level of the surface deformation monitoring may be improved.
It should be noted that the preset accurate conditions are set by those skilled in the art according to actual situations, and are not specifically limited herein.
For example, in order to verify the accuracy of the SBAS-InSAR monitoring result, the embodiments of the present application may collect other radar sat-2 data sets nearby, and use the same processing method (the same time interval, the same parameters, the same planarization and filtering method, etc.) to obtain the deformation monitoring result for these data sets.
Next, as shown in fig. 5, the overlapping areas in the two SBAS-InSAR processing results are compared, where (a) is a monitoring group result, and (b) is a verification group result, as shown in fig. 6, the comparison results of multiple samples with different deformation trends in the two groups of results, so that, in the case that the acquisition time of the two data sets is not identical, the deformation areas are basically identical, the values are very similar, and the existing minor errors can be further corrected by supplementing other multi-source remote sensing methods, which is not particularly limited herein.
In summary, the deformation monitoring result obtained by the SBAS-InSAR method in the embodiment of the application is accurate, and the preliminary SBAS-InSAR processing can fully help to determine the range needing on-site careful investigation, position the high-risk area in advance, and reduce the manual operation cost.
In step S104, a high-resolution digital ground model and an orthographic image are acquired from the unmanned aerial vehicle image, a three-dimensional ground surface model is established, and the topographical feature of the target area is acquired.
It can be appreciated that the embodiment of the application may acquire the high-resolution digital ground model and the orthographic image from the unmanned aerial vehicle image, for example, may acquire the high-resolution digital ground model and the orthographic image from the unmanned aerial vehicle image through a UAV (unmanned aerial vehicle) aerial technology, so as to build a high-precision three-dimensional surface model and acquire the topography change feature of the target area, thereby effectively providing assistance for the refined topography change feature of the target area.
The UAV aerial photography technology can capture photographic measurement image blocks easily by means of a GPS (Global Positioning System ), an IMU (Inertial Measurement Unit, an inertial measurement unit) and an automatic driving system, has the advantages of low economic cost, convenience in use, flexible data acquisition and the like, has the prospect, can provide flexible data acquisition and imaging capability of multi-angle imaging by combining with an oblique imaging technology, and can be used for supplementing fine characteristics of surface deformation of a research area which is difficult to identify by the InSAR technology.
For example, the embodiment of the application can acquire the change characteristics of the refined topography of the research area based on the UAV aerial photographing technology, wherein the UAV aerial photographing image comprises but is not limited to a common optical satellite remote sensing image, the high-precision topography and the ground surface feature details cannot be clearly displayed, and the high-precision ground damage details can also be used as external source data to supplement InSAR monitoring results and verify the accuracy of the InSAR monitoring results.
For another example, the image acquisition workflow based on unmanned aerial vehicle aerial photography can be mainly divided into three steps of off-site preparation, on-site preparation and image acquisition and post-processing, firstly, auxiliary data collection, unmanned aerial vehicle route planning, airspace application and the like are carried out, images are acquired according to spatial resolution by using ground sampling distances of 3 cm, furthermore, the percentage of overlapping of the front face and the side face of the images in the flying process is set to 80%, and the measurement of the earth control point required by image processing and the vertical direction is carried out by using a GNSS (Global Navigation Satellite System ) receiver provided with an internal modem so as to ensure that the measurement precision is sub-cm (less than 3 cm), and finally, post-processing is carried out by applying INPHO UAS Master6.0 software, and then, high-resolution digital ground models and orthophotographs are acquired from unmanned aerial vehicle images.
In step S105, interpretation features are established based on the preset satellite optical remote sensing image, and the topography and topography change features are classified.
It can be understood that the embodiment of the application can establish interpretation features based on satellite optical remote sensing images in the following steps, classify the change features of the landform and the landform, improve the range of monitoring the surface and the landform, reduce the influence of complex landform, and effectively meet the requirement of high-precision deformation monitoring of the goaf.
It should be noted that the preset satellite optical remote sensing image is set by a person skilled in the art according to the actual situation, and is not specifically limited herein.
Optionally, in one embodiment of the present application, establishing the interpretation feature based on the preset satellite optical remote sensing image includes: processing a preset satellite optical remote sensing image to obtain at least one of color features, shape features, texture features and shadow features of the image; an interpreted feature is established based on the at least one feature.
In an actual implementation process, the embodiment of the application may process the satellite optical remote sensing image, for example, extract the earth surface landscape from the remote sensing image through a GIS (Geographic Information Systems, geographic information system), obtain the features of the image, including but not limited to obtaining the color features, shape features, texture features, shadow features and the like of the image, and establish an interpretation feature according to at least one feature to classify the ground features, thereby helping to evaluate the potential hazards of different types of regions.
For example, the embodiment of the application can process other satellite optical remote sensing images based on a GIS technology, select Landsat-8 images shot on 1 month and 16 days in 2017 to classify ground facilities of a research area, establish interpretation features according to the features of colors, shapes, textures, shadows and the like of the images, and divide the ground facilities into six types of high-rise buildings, low-rise buildings, roads, railways, cultivated lands and other lands, wherein the other lands comprise woodlands, grasslands, gardens and bare lands, and the implementation of interpretation classification of the urban lands of different facility types based on the GIS technology can more reasonably and specifically evaluate potential hazards caused by surface deformation in the research area.
As shown in fig. 7, to create an interpretation feature, wherein (a) comprises low-rise buildings, regular polygonal plots with rectangular houses collected, and the surrounding areas are mostly arable or woodland, (b) comprises high-rise buildings, rectangular, shaded, and in a massive distribution, and is mostly surrounded by low-rise buildings, (c) comprises roads, linear, and has a width of more than 4 meters, (d) comprises railways, which have a width smaller than that of the roads, (e) comprises arable lands, collected into small pieces with obvious boundaries, the surrounding areas are typically low-rise buildings or roads, and (f) is of other land types, such as woodland, grassland, garden, and the like, and is typically irregularly shaped, wherein each building color is not particularly limited herein.
In step S106, the potential hazards of the surface deformation to different types of ground facilities are evaluated by analyzing the surface deformation inducement and space-time characteristics of the target area according to the actual ground potential hazards and classification results.
It can be understood that according to the embodiment of the application, according to the actual ground potential hazard and classification results, for example, the monitoring results of multi-source remote sensing technologies such as comprehensive SBAS-InSAR technology and GIS technology, the earth surface deformation inducement and space-time characteristics of a target area can be analyzed, and the potential hazard of earth surface deformation to different types of ground facilities can be evaluated, so that all-weather, multi-time-phase, large-scale and high-precision earth surface deformation monitoring of a goaf can be realized, the engineering investment can be greatly saved, the working efficiency can be improved, and the safety of engineering facilities can be ensured.
For example, as shown in fig. 8, in order to further analyze the surface deformation characteristics of the research area, the embodiment of the present application may select the average deformation rate as a main index, extract the area with the average sedimentation rate exceeding-10 mm/year, and superimpose it with the mine right boundary.
Wherein the sunk area of the spring mining area is about 547.43km 2 The maximum sedimentation rate is-96.6 mm/year, the sedimentation zone is located in the range of 113 DEG 31 '20' E,37 DEG 48 '15' N, has a central high sedimentation, outwardly decreasing funnel-shaped characteristic, the morphology and gradient characteristics of which are matched with the surface deformation characteristics caused by underground mining, and are distributed in the range of the yangquan mining area, namely, the yangquan mining area is most likely to be caused by underground mining, and in addition, a plurality of areas with higher sedimentation values are arranged outside the mining area, analyzed, the areas are probably caused by illegal mining, and a plurality of slight raised areas (about 0.5 km) are also arranged in the middle section of the yangquan mining area 2 ) It is presumed that the ground surface is raised due to structural damage of the underground goaf and rebound of groundwater, or deformation of the side slope causes accumulation of substances in the sliding direction.
Then, most of the ground coverage of the Yangquan mining area is mountain areas and forests, potential risks of the whole mining area can be classified according to conditions that geological disasters are easy to induce in the mountain areas, and the positions of deformation areas with high potential hazards in the research area can be rapidly determined according to classification results.
As shown in FIG. 9, most areas in the Yangquan mining area can be defined as mild or moderate easy-to-develop areas, and three main subsidence areas exist, wherein the first area (11-a) is positioned at the north part of the Gouyang county, the average subsidence rate is-15 to-30 mm/year, the second area (11-b) is the largest subsidence area (more than 60% of the subsidence areas are distributed in the area) of the Yangquan mining area, the subsidence areas are positioned at the west part of the Yangquan city, and the average subsidence rate is-15 to-30 mm/year. The last zone (11-c) is located in the southwest of Pingxian and has an average sedimentation rate of-10 to-15 mm/year. According to statistics, most of the sunny spring mining areas are low-disaster-prone areas (0 to-10 mm/year), and the areas (-10 to-20 mm/year) of the mild-disaster-prone areas are about 47.64km 2 The area of the moderate disaster-prone area (-20 to-50 mm/year) is about 38.73km 2 The last category is severe disaster vulnerable area<-50 mm/year), an area of about 3.1km 2 。
Further, after the deformation monitoring result is obtained, in order to analyze the potential hazard of the research area, firstly, the SBAS-InSAR monitoring result is drawn on a high-resolution satellite image of the main urban area of the Yangquan city, then, different deformation value valve fields are set for different ground facilities, and according to the specification of building foundation design Specification GB5007 in China, the allowable average subsidence of a simple high-rise building is 200mm, therefore, in the embodiment of the application, the area with the subsidence rate exceeding-20 mm/year is set as the potential damage area of the high-rise building, the area with the subsidence rate exceeding-15 mm/year is set as the potential damage area of other facilities, as shown in FIG. 10, the potential hazard area of the high-rise building is mainly distributed on the North side of the Yangquan city as the potential hazard area classification result checked for the embodiment of the application.
Through the GIS module, the embodiment of the application surveys the potential hazard areas of highways and railways in different buildings or different types of land blocks, and surveys the potential hazard areas of the highways and railways in the research area, as shown in fig. 11, the embodiment of the application superimposes and draws the map of the highways and railways on the basis of the monitoring result of the SBAS-InSAR, sets the allowable value of the deformation of the highways to-20 mm to-40 mm, sets the allowable value of the deformation of the railways to-20 mm to-30 mm, and sets the area with the deformation rate larger than-10 mm/year as the potential hazard area, and researches show that 15 potential hazard sections exist along the highways and railways, wherein the number of highway sections is 12, the total length is 16.27km, the number of railway sections is 2, and the total length is 4.75km.
In summary, the embodiment of the application can realize large-scale, all-weather, multi-time-phase and high-precision deformation monitoring of the target area, and can specifically evaluate potential hazards caused by the deformation of the ground surface by depending on monitoring results so as to ensure the safety of engineering facilities.
As shown in fig. 12, in the embodiment of the present application, the SBAS-InSAR technology may be used to obtain time sequence ground surface deformation data with large scale, multiple scale and high precision in a research area, and verify the accuracy of the obtained ground surface deformation result, and meanwhile, the UAV aerial technology is used to obtain a high resolution digital ground model and an orthophoto image, supplement the change characteristics of the refined topography of the research area which is not easy to be presented by the InSAR technology, and then the GIS technology is used to obtain the time sequence deformation of different types of ground facilities, and perform more accurate potential hazard area identification according to the allowable deformation amount of each facility, and finally, the above monitoring results of multiple modern remote sensing technologies are synthesized, analyze the induction of the ground surface deformation in time and space characteristics in the research area, and evaluate the potential hazard of the ground surface deformation to different types of ground facilities, so as to ensure the safety of engineering facilities.
According to the mining-induced earth surface deformation monitoring method provided by the embodiment of the application, data materials in a selected target area can be collected, a first deformation result of the target area is obtained, the potential hazards of the earth surface in a first working area are analyzed, a second deformation result of the nearby area is obtained according to the data materials of the nearby area of the target area, and the potential hazards of the earth surface in a second working area are obtained, so that the actual potential hazards of the earth surface are determined, a high-resolution digital earth model and an orthographic image are obtained from an unmanned aerial vehicle image, a three-dimensional earth surface model is built, the change characteristics of the earth surface and the landform of the target area are obtained, the interpretation characteristics are built based on satellite optical remote sensing images, the change characteristics of the earth surface and the earth surface are classified, the potential hazards of the earth surface deformation to different types of earth surface facilities are evaluated according to the actual potential hazards of the earth surface and classification results, the cost of manpower and material resources is effectively reduced, and the real-time and accuracy of earth surface deformation monitoring of a goaf are improved. Therefore, the problems that the workload is increased, the field operation period is long, the cost of manpower and material resources is increased, the monitoring precision is easily interfered in a terrain complex area, the accuracy of goaf deformation monitoring is reduced and the like in the related technologies are solved.
Next, a mining-induced surface deformation monitoring device according to an embodiment of the present application will be described with reference to the accompanying drawings.
FIG. 13 is a block schematic diagram of a mining-induced surface deformation monitoring device in accordance with an embodiment of the present application.
As shown in fig. 13, the mining-induced surface deformation monitoring apparatus 10 includes: the collection module 100, the acquisition module 200, the determination module 300, the construction module 400, the classification module 500, and the evaluation module 600.
Specifically, the gathering module 100 is configured to gather data in a selected target area.
The obtaining module 200 is configured to obtain a first deformation result of the target area according to the data material, and analyze the ground potential hazard in the first working area based on the deformation result.
The determining module 300 is configured to obtain a second deformation result of the vicinity according to the data of the vicinity of the target area, obtain a ground potential hazard in the second working area, and determine an actual ground potential hazard by combining the first deformation result and the second deformation result.
The construction module 400 is configured to obtain a high-resolution digital ground model and an orthographic image from an image of the unmanned aerial vehicle, establish a three-dimensional ground surface model, and obtain a topographical feature of the target area.
The classification module 500 is configured to establish interpretation features based on a preset satellite optical remote sensing image, and classify the change features of the topography and the landform.
The evaluation module 600 is used for analyzing the earth surface deformation inducement and space-time characteristics of the target area according to the actual ground potential hazard and the classification result, and evaluating the potential hazard of the earth surface deformation to different types of ground facilities.
Optionally, in one embodiment of the present application, the obtaining module 200 includes: an acquisition unit and an analysis unit.
The acquisition unit is used for performing influence processing on the data materials and obtaining deformation results by utilizing the InSAR small base line.
And the analysis unit is used for comprehensively analyzing the deformation area range in the working area according to the data materials to obtain the potential ground hazard in the working area.
Optionally, in one embodiment of the present application, the data material includes at least one of SAR images, optical remote sensing images of related satellites, administrative section information, and mining right information.
Optionally, in one embodiment of the present application, the determining module includes: a determining unit and a judging unit.
Wherein the determining unit is used for determining an overlapping area of the target area and the nearby area.
And the judging unit is used for comparing the deformation results of the overlapped areas and judging whether the deformation results reach preset accurate conditions or not so as to monitor the deformation when the preset accurate conditions are reached.
Optionally, in one embodiment of the present application, the classification module includes: a processing unit and a building unit.
The processing unit is used for processing the preset satellite optical remote sensing image to obtain at least one of color features, shape features, texture features and shadow features of the image.
And the establishing unit is used for establishing the interpretation feature according to the at least one feature.
It should be noted that the foregoing explanation of the embodiment of the method for monitoring the surface deformation induced by mining is also applicable to the device for monitoring the surface deformation induced by mining in this embodiment, and will not be repeated here.
According to the mining-induced earth surface deformation monitoring device provided by the embodiment of the application, data materials in a selected target area can be collected, a first deformation result of the target area is obtained, the potential hazards of the earth surface in a first working area are analyzed, a second deformation result of the nearby area is obtained according to the data materials of the nearby area of the target area, and the potential hazards of the earth surface in a second working area are obtained, so that the actual potential hazards of the earth surface are determined, a high-resolution digital earth model and an orthographic image are obtained from an unmanned aerial vehicle image, a three-dimensional earth surface model is built, the change characteristics of the earth surface and the landform of the target area are obtained, the interpretation characteristics are built based on satellite optical remote sensing images, the change characteristics of the earth surface are classified, the potential hazards of the earth surface deformation and the space-time characteristics of the target area are analyzed according to the actual potential hazards of the earth surface and classification results, the potential hazards of the earth surface deformation to different types of earth surface facilities are evaluated, the cost of manpower and material resources is effectively reduced, and the real-time and accuracy of earth surface deformation monitoring of a goaf are improved. Therefore, the problems that the workload is increased, the field operation period is long, the cost of manpower and material resources is increased, the monitoring precision is easily interfered in a terrain complex area, the accuracy of goaf deformation monitoring is reduced and the like in the related technologies are solved.
Fig. 14 is a schematic structural diagram of an electronic device according to an embodiment of the present application. The electronic device may include:
The processor 1402, when executing the program, implements the mining-induced surface deformation monitoring method provided in the above-described embodiments.
Further, the electronic device further includes:
a communication interface 1403 for communication between the memory 1401 and the processor 1402.
A memory 1401 for storing a computer program executable on a processor 1402.
The memory 1401 may include high-speed RAM memory and may also include non-volatile memory (non-volatile memory), such as at least one disk memory.
If the memory 1401, the processor 1402, and the communication interface 1403 are implemented independently, the communication interface 1403, the memory 1401, and the processor 1402 can be connected to each other through a bus and perform communication with each other. The bus may be an industry standard architecture (Industry Standard Architecture, abbreviated ISA) bus, an external device interconnect (Peripheral Component, abbreviated PCI) bus, or an extended industry standard architecture (Extended Industry Standard Architecture, abbreviated EISA) bus, among others. The buses may be divided into address buses, data buses, control buses, etc. For ease of illustration, only one thick line is shown in fig. 14, but not only one bus or one type of bus.
Alternatively, in a specific implementation, if the memory 1401, the processor 1402, and the communication interface 1403 are integrated on a chip, the memory 1401, the processor 1402, and the communication interface 1403 may perform communication with each other through internal interfaces.
The processor 1402 may be a central processing unit (Central Processing Unit, abbreviated as CPU), or an application specific integrated circuit (Application Specific Integrated Circuit, abbreviated as ASIC), or one or more integrated circuits configured to implement embodiments of the present application.
The present embodiment also provides a computer readable storage medium having stored thereon a computer program which when executed by a processor implements the mining induced surface deformation monitoring method as above.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present application. In this specification, schematic representations of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or N embodiments or examples. Furthermore, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In the description of the present application, the meaning of "N" is at least two, such as two, three, etc., unless explicitly defined otherwise.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and additional implementations are included within the scope of the preferred embodiment of the present application in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order from that shown or discussed, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the embodiments of the present application.
Logic and/or steps represented in the flowcharts or otherwise described herein, e.g., a ordered listing of executable instructions for implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or N wires, a portable computer cartridge (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). In addition, the computer readable medium may even be paper or other suitable medium on which the program is printed, as the program may be electronically captured, via optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It is to be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the N steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. As with the other embodiments, if implemented in hardware, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.
Those of ordinary skill in the art will appreciate that all or a portion of the steps carried out in the method of the above-described embodiments may be implemented by a program to instruct related hardware, where the program may be stored in a computer readable storage medium, and where the program, when executed, includes one or a combination of the steps of the method embodiments.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing module, or each unit may exist alone physically, or two or more units may be integrated in one module. The integrated modules may be implemented in hardware or in software functional modules. The integrated modules may also be stored in a computer readable storage medium if implemented in the form of software functional modules and sold or used as a stand-alone product.
The above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, or the like. Although embodiments of the present application have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the application, and that variations, modifications, alternatives, and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the application.
Claims (10)
1. The mining-induced surface deformation monitoring method is characterized by comprising the following steps of:
collecting data in the selected target area;
acquiring a first deformation result of the target area according to the data material, and analyzing the ground potential hazard in the first working area based on the deformation result;
acquiring a second deformation result of the nearby area according to the data information of the nearby area of the target area, obtaining the ground potential hazard in a second working area, and determining the actual ground potential hazard by combining the first deformation result and the second deformation result;
acquiring a high-resolution digital ground model and an orthographic image from an unmanned aerial vehicle image, establishing a three-dimensional earth surface model and acquiring the change characteristics of the topography and the landform of the target area;
Establishing interpretation features based on a preset satellite optical remote sensing image, and classifying the change features of the topography and the landform; and
and analyzing the earth surface deformation inducement and space-time characteristics of the target area according to the actual ground potential hazard and the classification result, and evaluating the potential hazard of the earth surface deformation to different types of ground facilities.
2. The mining-induced surface deformation monitoring method of claim 1, wherein the obtaining the first deformation result of the target area from the data material and analyzing the ground potential hazard in the first working area based on the deformation result comprises:
performing influence processing on the data material, and obtaining the deformation result by utilizing a synthetic aperture radar interference InSAR small baseline;
and comprehensively analyzing the range of the deformation zone in the working zone according to the data material to obtain the ground potential hazard in the working zone.
3. The mining-induced surface deformation monitoring method of claim 1, wherein the data material comprises at least one of synthetic aperture radar, SAR, optical remote sensing images of associated satellites, administrative division information, and mining weight information.
4. The mining-induced surface deformation monitoring method of claim 3, wherein the combining the first deformation result and the second deformation result to determine an actual surface potential hazard comprises:
Determining an overlap region of the target region and the vicinity region;
and comparing the deformation results of the overlapped areas, and judging whether the deformation results reach a preset accurate condition or not so as to monitor the deformation when the preset accurate condition is reached.
5. The mining-induced earth's surface deformation monitoring method of claim 1, wherein the establishing interpretation features based on the predetermined satellite optical remote sensing image comprises:
processing the preset satellite optical remote sensing image to obtain at least one of color features, shape features, texture features and shadow features of the image;
the interpreted feature is established from the at least one feature.
6. A mining-induced surface deformation monitoring device, comprising:
the collecting module is used for collecting data in the selected target area;
the acquisition module is used for acquiring a first deformation result of the target area according to the data material and analyzing the ground potential hazard in the first working area based on the deformation result;
the determining module is used for obtaining a second deformation result of the nearby area according to the data material of the nearby area of the target area, obtaining the ground potential hazard in the second working area, and determining the actual ground potential hazard by combining the first deformation result and the second deformation result;
The construction module is used for acquiring a high-resolution digital ground model and an orthographic image from the unmanned aerial vehicle image, establishing a three-dimensional ground surface model and acquiring the landform change characteristics of the target area;
the classification module is used for establishing interpretation features based on a preset satellite optical remote sensing image and classifying the landform change features; and
and the evaluation module is used for analyzing the earth surface deformation inducement and space-time characteristics of the target area according to the actual ground potential hazard and the classification result and evaluating the potential hazard of the earth surface deformation to different types of ground facilities.
7. The mining-induced surface deformation monitoring device of claim 6, wherein the acquisition module comprises:
the acquisition unit is used for performing influence processing on the data material and obtaining the deformation result by utilizing the synthetic aperture radar interference InSAR small base line;
and the analysis unit is used for comprehensively analyzing the range of the deformation area in the working area according to the data materials to obtain the ground potential hazard in the working area.
8. The mining-induced surface deformation monitoring device of claim 6, wherein the data material comprises at least one of synthetic aperture radar, SAR, optical remote sensing images of associated satellites, administrative division information, and mining weight information.
9. An electronic device, comprising: a memory, a processor and a computer program stored on the memory and executable on the processor, the processor executing the program to implement the mining-induced surface deformation monitoring method of any of claims 1-5.
10. A computer readable storage medium having stored thereon a computer program, the program being executable by a processor for implementing the mining-induced surface deformation monitoring method of any of claims 1-5.
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| CN117236723B (en) * | 2023-11-13 | 2024-03-12 | 深圳市城市公共安全技术研究院有限公司 | Method and device for defining surrounding environment influence range of karst region construction engineering construction |
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