CN118189888A

CN118189888A - Method and device for monitoring surface deformation of mining area

Info

Publication number: CN118189888A
Application number: CN202410342719.7A
Authority: CN
Inventors: 杨茂盛; 马飞; 张庆斌; 赵之星; 卢翔锋; 田昕; 张凯; 李毅韬; 刘志奇
Original assignee: Zhongjin Environmental Technology Co ltd
Current assignee: Zhongjin Environmental Technology Co ltd
Priority date: 2024-03-25
Filing date: 2024-03-25
Publication date: 2024-06-14

Abstract

A method and a device for monitoring surface deformation of a mining area relate to the technical field of mining area settlement monitoring. In the method, a target mining area monitoring request sent by user equipment is received; determining a target goaf according to the target mining area monitoring request; performing sedimentation monitoring on the first detection point by using a first monitoring mode to obtain first sedimentation data; determining the first detection point as a prediction reference point based on the first detection point as an edge point; calculating settlement between the prediction datum point and a second detection point by using a second monitoring mode to obtain second settlement data; adding the first sedimentation data and the second sedimentation data to obtain third sedimentation data, and taking the third sedimentation data as a sedimentation value corresponding to the second detection point; and sequentially summarizing sedimentation values corresponding to the first detection point and the second detection point to obtain a target sedimentation value, so that the target mining area is conveniently treated according to the target sedimentation value. By implementing the technical scheme provided by the application, the accuracy of the monitoring result can be ensured.

Description

Method and device for monitoring surface deformation of mining area

Technical Field

The application relates to the technical field of mining area settlement monitoring, in particular to a method and a device for monitoring the surface deformation of a mining area.

Background

Mining subsidence refers to phenomena and processes that cause rock formation movement and earth surface subsidence in underground coal mining, also known as "mine rock formation and earth surface movement". In the mineral exploitation process, the exploitation of the mineral body breaks the original mechanical balance of surrounding rock bodies, and further the displacement, deformation and fracture of the rock stratum are induced; as the range of production continues to expand, these geological changes eventually propagate to the surface, creating a significant surface subsidence phenomenon. The underground cavity (goaf) formed after coal exploitation can cause subsidence of the upper earth surface, and forms serious threat to ground buildings and infrastructure; therefore, continuous and accurate monitoring of the subsidence of the ground surface of the mining area is a key link for preventing geological disasters and guaranteeing the safety of the mining area.

At present, mining area earth surface subsidence monitoring mainly depends on a synthetic aperture radar interferometry (InSAR) technology, the InSAR technology utilizes a synthetic aperture radar satellite to conduct time sequence observation on the same area for many times, phase information of earth surface reflection is obtained, phase components of earth surface deformation can be accurately calculated through interference processing of the phase information, and then the phase components are converted into actual deformation quantities of earth surface. In order to further improve the monitoring precision of small deformation of the mining area, a differential synthetic aperture radar technology (DIFFERENTIAL INTERFEROMETRICSYNTHETIC APERTURE RADAR, D-InSAR) is applied to the mining area surface subsidence monitoring, and the D-InSAR technology can effectively capture the surface deformation information of the mining area and provide important data support for surface subsidence analysis. However, when the D-InSAR technology is used for monitoring the subsidence of the ground surface of the mining area, when the subsidence of the ground surface of the mining area occurs in a large scale, namely, the subsidence amount of the ground surface of the mining area is large, the D-InSAR technology cannot accurately monitor the large deformation area of the mining area, so that the monitoring result is inaccurate.

Therefore, a method and a device for monitoring the surface deformation of a mining area are needed to solve the technical problems.

Disclosure of Invention

The application provides a method and a device for monitoring the surface deformation of a mining area, which can accurately monitor when the surface settlement is large by adopting a method combining two monitoring modes, ensure the accuracy of a monitoring result and reduce the problem of inaccurate monitoring result caused by the fact that a large deformation area cannot be accurately monitored by using a D-InSAR technology.

In a first aspect, the application provides a method for monitoring surface deformation of a mining area, which receives a target mining area monitoring request sent by user equipment; determining a target goaf according to a target mining area monitoring request, wherein the target goaf is any one area in the target mining area, and the target goaf consists of a plurality of detection points; performing sedimentation monitoring on a first detection point by using a first monitoring mode to obtain first sedimentation data, wherein the first detection point is any one detection point of a plurality of detection points; determining the first detection point as a prediction reference point based on the first detection point as an edge point; calculating settlement between the prediction datum point and a second detection point by using a second monitoring mode to obtain second settlement data, wherein the second detection point is any detection point except the first detection point in the plurality of detection points; adding the first sedimentation data and the second sedimentation data to obtain third sedimentation data, and taking the third sedimentation data as a sedimentation value corresponding to the second detection point; and sequentially summarizing sedimentation values corresponding to the first detection point and the second detection point to obtain a target sedimentation value, so that the target mining area is conveniently treated according to the target sedimentation value.

According to the technical scheme, the target goaf is determined according to the target mining area monitoring request, the first detection point is selected from the target goaf, the first detection point is subjected to sedimentation monitoring in a first monitoring mode to obtain first sedimentation data, when the first detection point is a prediction reference point, sedimentation between the prediction reference point and the second detection point is calculated in a second monitoring mode to obtain second sedimentation data, the first sedimentation data and the second sedimentation data are added to obtain third sedimentation data, the third sedimentation data are used as sedimentation values corresponding to the second detection point, and the sedimentation data of the second detection point are obtained in a combined monitoring mode, so that accuracy of a monitoring result can be improved; and then summarizing the sedimentation values corresponding to the first detection point and the second detection point in the target goaf in sequence to finally obtain the target sedimentation value of the target goaf, wherein the target sedimentation value can comprehensively reflect the earth surface sedimentation condition of the target mining area, can accurately monitor when the earth surface sedimentation amount is large, and ensures the accuracy of the monitoring result.

Optionally, performing sedimentation monitoring on the first detection point by using a first monitoring mode to obtain first sedimentation data; the method specifically comprises the following steps: detecting a target goaf for multiple times by using a differential synthetic aperture radar technology to obtain multiple radar echo data, wherein the multiple radar echo data comprise images and geographic position information, the images are shooting images corresponding to different angles at different time points, and the first monitoring mode is the differential synthetic aperture radar technology; acquiring a target image, wherein the target image is an image corresponding to a plurality of time points of the first detection point; processing the target image to obtain an interference pattern; and carrying out phase analysis on the interference pattern to obtain a displacement vector of the first detection point, wherein the displacement vector is the first sedimentation data.

By adopting the technical scheme, the differential synthetic aperture radar technology is used for detecting the target goaf for multiple times to obtain multiple radar echo data, then the target image is obtained, the target image is the image of which the first detection point is positioned at multiple time points, the interference pattern is obtained by processing the target image, the phase analysis is carried out on the interference pattern to obtain the earth surface deformation condition, namely the first settlement data, according to the automatic monitoring, the earth surface deformation quantity can be automatically calculated by processing and analyzing the data, the manual intervention is reduced, and the high-precision earth surface settlement monitoring is realized.

Optionally, before determining the first detection point as the prediction reference point based on the first detection point being the edge point, the method further includes: acquiring monitoring data of a first detection point; judging whether the monitoring data are in preset monitoring data or not; if the monitoring data is in the preset monitoring data, the first detection point is confirmed to be set as a prediction datum point.

By adopting the technical scheme, the monitoring data of the first detection point is obtained, whether the monitoring data is in the preset monitoring data range is judged, when the monitoring data is in the preset monitoring data, the first detection point is set as a prediction datum point, the first detection point can be used as the prediction datum point for improving the monitoring precision, the second detection point is calculated by utilizing the second monitoring mode, the condition that the error of the monitoring result is large is reduced, the accuracy of the overall monitoring result is improved, and the monitoring requirement of the surface subsidence under different conditions is met by automatically adjusting the prediction datum point and adopting different monitoring modes for calculation.

Optionally, calculating settlement between the prediction reference point and the second detection point by using a second monitoring mode to obtain second settlement data; the method specifically comprises the following steps: determining the first detection point as a prediction reference point; mounting an MEMS acceleration array displacement sensor at the second detection point; acquiring target positioning information, wherein the target positioning information is positioning information of a radar angle transmitter installed on a prediction datum point; and calculating the displacement between the target positioning information and the MEMS acceleration array type displacement sensor to obtain second sedimentation data.

By adopting the technical scheme, the first detection point is determined to be the prediction reference point, the MEMS acceleration array type displacement sensor is arranged at the second detection point, the omnibearing monitoring of the ground surface subsidence of the target mining area can be realized, the position of the radar angle transmitter can be accurately determined by acquiring the target positioning information, and then the displacement between the target positioning information and the MEMS acceleration array type displacement sensor is calculated, so that the second subsidence data can be obtained, and the MEMS technology is more accurate for monitoring the ground surface deformation of a large area.

Optionally, calculating a displacement amount between the target positioning information and the MEMS acceleration array displacement sensor to obtain second sedimentation data, which specifically includes: acquiring a target included angle, wherein the target included angle is an included angle between a first detection point and a second detection point; acquiring a target length, wherein the target length is the length of the MEMS acceleration array type displacement sensor corresponding to the second detection point; and calculating the product of the target included angle and the target length to obtain second sedimentation data.

By adopting the technical scheme, the included angle between the first detection point and the second detection point, namely the target included angle, is acquired, the length of the MEMS acceleration array displacement sensor corresponding to the second detection point, namely the target length, can be acquired, more accurate ground subsidence information can be acquired, the second subsidence data can be calculated more accurately by calculating the product of the target included angle and the target length, and the accuracy of ground subsidence monitoring can be improved on the basis of simplifying the calculation process.

Optionally, judging whether the monitoring data is in preset monitoring data; the method specifically comprises the following steps: obtaining a coherence value, wherein the coherence value is obtained by calculating each pixel point in the interference diagram; the monitoring data includes a coherence value; judging whether the coherence value is larger than or equal to a preset coherence threshold value; if the coherence value is greater than or equal to a preset coherence threshold, confirming that a first detection point corresponding to the interference pattern is an edge point, and the first detection point is a prediction reference point.

By adopting the technical scheme, the coherence value in the interference pattern is calculated, the reliability of the earth surface subsidence can be evaluated, the coherence value can reflect the similarity and consistency of pixel points in the interference pattern, when the coherence value is larger than or equal to a preset coherence threshold, the first detection point corresponding to the interference pattern is confirmed to be an edge point, the identification of the edge point is helpful for determining a prediction reference point, and a more accurate data basis is provided for subsequent subsidence monitoring; by presetting the coherence threshold, automatic monitoring can be realized, and the accuracy of monitoring the earth surface subsidence is improved.

Optionally, after determining whether the coherence value is greater than or equal to the preset coherence threshold, the method further includes: if the coherence value is smaller than a preset coherence threshold, acquiring a first earth surface subsidence value, wherein the first earth surface subsidence value is a subsidence value corresponding to the first detection point in the target goaf, and the monitoring data further comprise the first earth surface subsidence value; judging whether the first earth surface sedimentation value is smaller than or equal to the second earth surface sedimentation value; and when the first earth surface subsidence value is smaller than or equal to the second earth surface subsidence value, confirming that the first detection point is a prediction reference point.

By adopting the technical scheme, under the condition that the coherence value is smaller than the preset coherence threshold value, the first earth surface subsidence value is obtained, the first earth surface subsidence value is compared with the second earth surface subsidence value, when the first earth surface subsidence value is smaller than or equal to the second earth surface subsidence value, the first detection point is selected as the prediction reference point, and the first detection point is set as the prediction reference point according to the data, so that the accuracy and the reliability of subsequent monitoring are improved.

In a second aspect of the application, a device for monitoring the surface deformation of a mining area is provided, and the device comprises a receiving unit, a processing unit and a summarizing unit; the receiving unit is used for receiving a target mining area monitoring request sent by user equipment; the processing unit is used for determining a target goaf according to the target mining area monitoring request, wherein the target goaf is any one area in the target mining area, and the target goaf consists of a plurality of detection points; performing sedimentation monitoring on a first detection point by using a first monitoring mode to obtain first sedimentation data, wherein the first detection point is any one detection point of a plurality of detection points; determining the first detection point as a prediction reference point based on the first detection point as an edge point; calculating settlement between the prediction datum point and a second detection point by using a second monitoring mode to obtain second settlement data, wherein the second detection point is any detection point except the first detection point in the plurality of detection points; adding the first sedimentation data and the second sedimentation data to obtain third sedimentation data, and taking the third sedimentation data as a sedimentation value corresponding to the second detection point; and the summarizing unit sequentially summarizes the sedimentation values corresponding to the first detection points and the second detection points to obtain target sedimentation values so as to process the target mining area according to the target sedimentation values.

Optionally, the processing unit is configured to perform multiple detection on the target goaf by using a differential synthetic aperture radar technology to obtain multiple radar echo data, where the multiple radar echo data includes images and geographic location information, the images are shot images corresponding to different angles at different time points, and the first monitoring mode is the differential synthetic aperture radar technology; the receiving unit is used for acquiring a target image, wherein the target image is an image of which the first detection point is positioned at a plurality of time points; the processing unit is used for processing the target image to obtain an interference pattern; and carrying out phase analysis on the interference pattern to obtain a displacement vector of the first detection point, wherein the displacement vector is the first sedimentation data.

Optionally, the receiving unit is configured to obtain monitoring data of the first detection point; the processing unit is used for judging whether the monitoring data are in preset monitoring data or not; if the monitoring data is in the preset monitoring data, the first detection point is confirmed to be set as a prediction datum point.

Optionally, the processing unit is configured to determine the first detection point as a prediction reference point; mounting an MEMS acceleration array displacement sensor at the second detection point; the receiving unit is used for acquiring target positioning information, wherein the target positioning information is positioning information of the radar angle transmitter arranged on the prediction datum point; the processing unit is used for calculating the displacement between the target positioning information and the MEMS acceleration array type displacement sensor to obtain second sedimentation data.

Optionally, the receiving unit is configured to obtain a target included angle, where the target included angle is an included angle between the first detection point and the second detection point; the receiving unit is used for acquiring a target length, wherein the target length is the length of the MEMS acceleration array type displacement sensor corresponding to the second detection point; the processing unit is used for calculating the product of the target included angle and the target length to obtain second sedimentation data.

Optionally, the receiving unit is configured to obtain a coherence value, where the coherence value is a value obtained by calculating each pixel point in the interferogram; the monitoring data includes a coherence value; the processing unit is used for judging whether the coherence value is larger than or equal to a preset coherence threshold value; if the coherence value is greater than or equal to a preset coherence threshold, confirming that a first detection point corresponding to the interference pattern is an edge point, and the first detection point is a prediction reference point.

Optionally, the receiving unit is configured to obtain a first surface subsidence value if the coherence value is smaller than a preset coherence threshold, where the first surface subsidence value is a subsidence value corresponding to the first detection point in the target goaf, and the monitoring data further includes the first surface subsidence value; the processing unit is used for judging whether the first earth surface sedimentation value is smaller than or equal to the second earth surface sedimentation value; when the first earth surface subsidence value is smaller than or equal to the second earth surface subsidence value, the first detection point is confirmed to be a prediction reference point.

In a third aspect the application provides an electronic device comprising a processor, a memory for storing instructions, a user interface and a network interface for communicating with other devices, the processor being arranged to execute the instructions stored in the memory, such that an electronic device performs a method according to any of the above-mentioned applications.

In a fourth aspect the application provides a computer readable storage medium storing instructions which, when executed, perform a method according to any one of the above-mentioned aspects of the application.

In summary, one or more technical solutions provided in the embodiments of the present application at least have the following technical effects or advantages:

1. Determining a target goaf according to a target mining area monitoring request, selecting a first detection point from the target goaf, performing sedimentation monitoring on the first detection point by using a first monitoring mode to obtain first sedimentation data, calculating sedimentation between a prediction reference point and a second detection point by using a second monitoring mode when the first detection point is the prediction reference point to obtain second sedimentation data, adding the first sedimentation data and the second sedimentation data to obtain third sedimentation data, taking the third sedimentation data as a sedimentation value corresponding to the second detection point, and acquiring the sedimentation data of the second detection point by combining the two monitoring modes to improve the accuracy of a monitoring result; and then summarizing the sedimentation values corresponding to the first detection point and the second detection point in the target goaf in sequence to finally obtain the target sedimentation value of the target goaf, wherein the target sedimentation value can comprehensively reflect the earth surface sedimentation condition of the target mining area, can accurately monitor when the earth surface sedimentation amount is large, and ensures the accuracy of the monitoring result.

2. And detecting the target goaf for multiple times by using a differential synthetic aperture radar technology to obtain multiple radar echo data, acquiring a target image, processing the target image which is an image corresponding to the first detection point at multiple time points, obtaining an interference pattern, carrying out phase analysis on the interference pattern to obtain ground surface deformation condition, namely first subsidence data, automatically calculating the ground surface deformation quantity by processing and analyzing the data according to automatic monitoring, reducing manual intervention, and realizing high-precision ground surface subsidence monitoring.

3. The first detection point is determined to be a prediction reference point, the MEMS acceleration array type displacement sensor is arranged at the second detection point, the omnibearing monitoring of the earth surface subsidence of the target mining area can be realized, the position of the radar angle transmitter can be accurately determined by acquiring the target positioning information, and then the displacement between the target positioning information and the MEMS acceleration array type displacement sensor is calculated to obtain second subsidence data, so that the MEMS technology is more accurate for monitoring the earth surface deformation of a large area.

4. The included angle between the first detection point and the second detection point, namely the target included angle, is obtained, the length, namely the target length, of the MEMS acceleration array displacement sensor corresponding to the second detection point is obtained, more accurate earth surface subsidence information can be obtained, the second subsidence data can be calculated more accurately by calculating the product of the target included angle and the target length, and the accuracy of earth surface subsidence monitoring can be improved on the basis of simplifying the calculation process.

Drawings

FIG. 1 is a schematic flow chart of a method for monitoring the surface deformation of a mining area according to an embodiment of the present application;

FIG. 2 is a schematic view of a first scenario of a method for monitoring surface deformation of a mining area according to an embodiment of the present application;

FIG. 3 is a schematic view of a second scenario of a method for monitoring surface deformation of a mining area according to an embodiment of the present application;

FIG. 4 is a schematic structural diagram of an apparatus for monitoring surface deformation of a mining area according to an embodiment of the present application;

fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application.

Reference numerals illustrate: 401. a receiving unit; 402. a processing unit; 403. a summarizing unit; 500. an electronic device; 501. a processor; 502. a communication bus; 503. a user interface; 504. a network interface; 505. a memory.

Detailed Description

In order that those skilled in the art will better understand the technical solutions in the present specification, the technical solutions in the embodiments of the present specification will be clearly and completely described below with reference to the drawings in the embodiments of the present specification, and it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments.

In describing embodiments of the present application, words such as "for example" or "for example" are used to mean serving as examples, illustrations, or descriptions. Any embodiment or design described herein as "such as" or "for example" in embodiments of the application should not be construed as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "or" for example "is intended to present related concepts in a concrete fashion.

In the description of embodiments of the application, the term "plurality" means two or more. For example, a plurality of systems means two or more systems, and a plurality of screen terminals means two or more screen terminals. Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating an indicated technical feature. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless expressly specified otherwise.

At present, mining area earth surface subsidence monitoring mainly depends on a synthetic aperture radar interferometry (InSAR) technology, the InSAR technology utilizes a synthetic aperture radar satellite to conduct time sequence observation on the same area for many times, phase information of earth surface reflection is obtained, phase components of earth surface deformation can be accurately calculated through interference processing of the phase information, and then the phase components are converted into actual deformation quantities of earth surface. In order to further improve the monitoring precision of small deformation of the mining area, a differential synthetic aperture radar technology (DIFFERENTIAL INTERFEROMETRICSYNTHETIC APERTURE RADAR, D-InSAR) is applied to the mining area surface subsidence monitoring, and the D-InSAR technology can effectively capture the surface deformation information of the mining area and provide important data support for surface subsidence analysis.

Synthetic aperture radar interferometry (InSAR) technology can monitor various types of surface subsidence deformations, including mining area surface subsidence monitoring. The method is characterized in that a Synthetic Aperture Radar (SAR) satellite is utilized to shoot the same ground object for multiple times at different times to obtain phase information of ground object reflection, deformation phase components in the phase information are calculated after interferometry, and then converted into deformation of the ground surface, the theoretical precision reaches millimeter level, and the monitoring capability of high precision, high efficiency, full automation and continuous wide coverage is a novel approach for monitoring the ground surface deformation of a mining area, and is called as differential SAR technology (DINSAR). The DINSAR technology is sensitive to small deformation monitoring of the earth surface, can effectively acquire earth surface deformation information in a mining area, and can achieve centimeter level or even millimeter level observation accuracy.

However, when the D-InSAR technology is used for monitoring the subsidence of the ground surface of the mining area, when the subsidence of the ground surface of the mining area occurs in a large scale, namely, the subsidence amount of the ground surface of the mining area is large, the D-InSAR technology cannot accurately monitor the large deformation area of the mining area, so that the monitoring result is inaccurate. Namely, when the ground settlement of the mining area is relatively large, the error of the large deformation area result is caused by the coherence loss in the DINSAR data processing process, and the monitoring result is inaccurate.

Therefore, how to change the existing mining area ground subsidence monitoring mode is single, and the large deformation area of the mining area cannot be monitored, so that the inaccuracy of the monitoring result is a problem which needs to be solved at present. The method for monitoring the surface deformation of the mining area, provided by the embodiment of the application, is applied to a server. The server of the present application may be a platform for providing surface subsidence monitoring for a mining area, and fig. 1 is a schematic flow chart of a method for monitoring surface deformation of a mining area according to an embodiment of the present application, and referring to fig. 1, the method includes the following steps S101 to S107.

S101: and receiving a target mining area monitoring request sent by the user equipment.

In the S101, in order to ensure personal safety of personnel in mining the mining area, corresponding safety monitoring personnel are required to monitor the mining area so as to find out that the mining area has surface subsidence in time, and corresponding treatment measures are required to be formulated according to the surface subsidence amount, so that occurrence of safety accidents is reduced. Based on the monitoring requirement, the safety monitoring personnel responds to the input operation of the user by the user equipment to obtain a target mining area monitoring request, wherein the target mining area refers to any mining area in a plurality of mining areas to be monitored, and the user equipment sends the target mining area monitoring request to the server so that the server can receive the target mining area monitoring request sent by the user equipment. The target mining area monitoring request can be understood as acquiring the current surface subsidence condition of the target mining area, and further determining the surface subsidence value of the current mining area.

S102: and determining a target goaf according to the target mining area monitoring request, wherein the target goaf is any one area in the target mining area, and the target goaf consists of a plurality of detection points.

In S102, after receiving the target mining area monitoring request, the server determines that the target mining area needs to be monitored, and then installs surface subsidence monitoring equipment in each area of the target mining area in advance. After the earth surface subsidence monitoring equipment is installed in each area in the target mining area, the earth surface subsidence of each area in the target mining area is monitored in sequence, and whether large deformation subsidence exists in the earth surface in each area is further determined. The application takes the earth surface subsidence monitoring of any area in the target mining area as an example, namely, the target goaf is determined according to the monitoring request of the target mining area, a plurality of detection points are selected from the target goaf in order to accurately and comprehensively acquire the subsidence condition corresponding to the target goaf, and the subsidence data of the target goaf can be comprehensively acquired according to the monitoring condition of the plurality of detection points.

S103: and carrying out sedimentation monitoring on the first detection point by using a first monitoring mode to obtain first sedimentation data.

In S103, when it is determined that the target goaf needs to be monitored, it is determined in advance that the surface subsidence monitoring device is installed in the target mining area, and the installation process is as follows: firstly, safety monitoring personnel need to perform on-site investigation on a target mining area, and know the conditions of topography of the mining area, distribution and scale of a goaf and the like, so that a proper equipment installation scheme is formulated according to actual requirements and monitoring precision requirements. Secondly, the application monitors the target goaf by using a differential synthetic aperture radar technology (D-InSAR), so a radar receiver and a data processing system which are suitable for the mining area environment are selected according to the requirement of the D-InSAR technology, the selected equipment is ensured to have the characteristics of high sensitivity, high resolution, high stability and the like, and the requirements of precision and reliability of goaf displacement monitoring can be met. After the installed equipment is determined, the installation and debugging work of the equipment, namely the erection of a radar receiver, the configuration of a data acquisition system, the connection with a data processing center and the like, are required to be carried out in a target mining area. The equipment is ensured to be firmly and stably installed, and can normally work and capture high-quality SAR data. In order to ensure that the collected data can be transmitted in real time, a stable data transmission and storage system is required to be established, and SAR data can be transmitted to a data processing center in real time for storage and analysis. After the equipment is installed in sequence, all parts such as a radar receiver, a data acquisition system, a data processing center and the like are integrated together, and comprehensive system test is performed. The whole system can be ensured to normally run, and displacement monitoring data of the target goaf can be accurately and rapidly processed and analyzed. Finally, to ensure the performance of the device and the reliability of the monitoring data, periodic inspection and maintenance of the radar receiver and the data processing system is required to facilitate timely discovery and resolution of potential problems. After the corresponding monitoring equipment is installed in the target mining area according to the method, the target goaf is monitored at present, so that any one detection point, namely a first detection point, is obtained from a plurality of detection points of the target goaf, and then the first detection point is subjected to settlement monitoring in a first monitoring mode to obtain first settlement data.

Performing sedimentation monitoring on the first detection point by using a first monitoring mode to obtain first sedimentation data, wherein the method specifically comprises the following steps: detecting a target goaf for multiple times by using a differential synthetic aperture radar technology to obtain multiple radar echo data, wherein the multiple radar echo data comprise images and geographic position information, the images are shooting images corresponding to different angles at different time points, and the first monitoring mode is the differential synthetic aperture radar technology; acquiring a target image, wherein the target image is an image corresponding to a plurality of time points of the first detection point; processing the target image to obtain an interference pattern; and carrying out phase analysis on the interference pattern to obtain a displacement vector of the first detection point, wherein the displacement vector is the first sedimentation data.

Specifically, a Synthetic Aperture Radar (SAR) system is used for observing the first detection point for a plurality of times, and radar echo data of different time points are obtained. The radar echo data includes SAR images at different times, different angles, and corresponding geographic location information. And acquiring images corresponding to a plurality of time points of the first detection point, wherein the images refer to SAR images, and the time points refer to different time points. And processing the target image to obtain an interferogram, wherein the interferogram represents that SAR images at different time points are registered, phase differences caused by factors such as topography, climate and the like are eliminated, and the interferogram is generated. The interference pattern reflects the change condition of the surface deformation, and the displacement of the first detection point can be clearly displayed. And finally, carrying out phase analysis on the interference pattern to obtain a displacement vector of the first detection point, wherein the displacement vector represents the first sedimentation data. By analyzing the phase change in the interferogram, the displacement vector of the first detection point can be calculated, mathematical calculation and image processing are performed on the interferogram when the phase analysis is performed on the interferogram, the operations including phase unwrapping, filtering and the like are performed on the interferogram, and the extracted displacement information has the characteristics of high precision and high resolution and can accurately reflect the deformation condition of the first detection point.

Fig. 2 is a diagram of the DInSAR technique for measuring the surface geometry, (P1, P2) is two SAR images before deformation, and (P3) is the SAR image after deformation. The interference pattern generated after the interference process (P1, P2) contains land leveling phase and topography phase information, and the interference pattern generated after the interference process (P1, P3) contains deformation phase components in addition to the above phase components. And carrying out differential processing on the two interferograms, removing the topographic phase information in the second interferogram to obtain a deformation phase component Rd, and calculating the deformation phase component to obtain first sedimentation data.

S104: and determining the first detection point as a prediction datum point based on the first detection point being an edge point.

In S104, after the settlement of the first detection point is monitored by using the first monitoring method, in order to ensure that the first detection point is within the application range of the first monitoring method, the first detection point needs to be determined, and when the first detection point is within the application range of the first monitoring method, it is confirmed that the settlement condition corresponding to the first detection point can be accurately obtained by using the first monitoring method, that is, the current settlement data of the first detection point is within a smaller range, so that the settlement condition can be obtained by using the first monitoring method.

In addition, when the first detection point is not in the application range of the first monitoring mode, the first detection point is confirmed to be an edge point, namely the sedimentation condition corresponding to the first detection point cannot be accurately obtained by using the first monitoring mode, the first detection point is set to be the edge point, namely a prediction reference point, and the sedimentation conditions of other detection points are monitored by adjusting the monitoring mode. The following method can be selected to determine whether the first detection point is a prediction reference point. The method specifically comprises the following steps: acquiring monitoring data of a first detection point; judging whether the monitoring data are in preset monitoring data or not; if the monitoring data is in the preset monitoring data, the first detection point is confirmed to be set as a prediction datum point. The monitoring data includes a coherence value and a first surface subsidence value.

Specifically, monitoring data of a first detection point are obtained, wherein the monitoring data comprise a coherence value and a first earth surface subsidence value; judging whether the monitoring data are in preset monitoring data or not, wherein the preset monitoring data comprise a preset coherence threshold value and a second earth surface sedimentation value, and the preset coherence threshold value represents a coherence threshold value corresponding to a detection point when sedimentation monitoring is carried out by using a DINSAR technology. The second surface subsidence value represents the surface subsidence value corresponding to the detection point when the DINSAR technology is used for subsidence monitoring. The preset coherence threshold and the second surface subsidence value are ranges in which the mining area can be monitored using the DInSAR technique. When the monitoring data corresponding to the first detection point is in the preset monitoring data, the first detection point can be used as an edge point of the surface subsidence basin, and if the monitoring data in the first detection point is equal to the preset monitoring data, namely the coherence value is equal to the preset coherence threshold value or the first surface subsidence value is equal to the second surface subsidence value, the first detection point can be set to be a prediction datum point, and then the second detection point is calculated by using a second monitoring mode according to the prediction datum point. At this time, the first detection point just meets the monitoring range of the first monitoring mode, but the second detection point and the first detection point are detection points in adjacent relation, that is, the settlement condition of the second detection point is more serious than that of the first detection point, and the second detection point is closer to the settlement center position. At this time, when the first monitoring mode is used to monitor the settlement of the second detection point, the obtained settlement value may have larger deviation, so the first detection point needs to be set as a prediction reference point, and then the second monitoring mode is used to monitor the settlement of other detection points in the target goaf according to the prediction reference point, so as to obtain an accurate settlement monitoring value.

Further, judging whether the monitoring data is in preset monitoring data or not, specifically including: obtaining a coherence value, wherein the coherence value is obtained by calculating each pixel point in the interference diagram; the monitoring data includes a coherence value; judging whether the coherence value is larger than or equal to a preset coherence threshold value; if the coherence value is greater than or equal to a preset coherence threshold, confirming that a first detection point corresponding to the interference pattern is an edge point, and the first detection point is a prediction reference point. Specifically, multiple images of the first detection point at different time points can be acquired in a first monitoring mode, then the images acquired at different time points are registered, the images are aligned in space positions, and an interferogram reflecting the surface deformation is generated by conducting synthetic aperture radar interference processing on the multiple images acquired at different time points. The phase change on the interferogram reflects the amount of surface displacement. On the generated interferogram, a coherence value is calculated for each pixel. When correlation analysis is performed on the interferogram, the correlation analysis can be realized through various methods, such as a statistical coherence method or a phase gradient method, and the like, and the methods can evaluate the stability of radar signals in space and time so as to judge the validity of interference phases and the reliability of surface deformation. Based on correlation analysis of the interferogram, the coherence value of each pixel point is extracted, and the coherence value reflects the correlation between radar signals and the surface scattering characteristics of the earth surface and can be used for evaluating the reliability of radar data and the accuracy of surface deformation. After the coherence value is obtained, judging whether the coherence value is larger than or equal to a preset coherence threshold, and setting according to the surface coherence threshold of the application range of the DINSAR technology in the related paper, wherein the larger the coherence value is, the better the coherence value is, the smaller the surface deformation condition is proved, so that the DINSAR technology can be accurately monitored. When the coherence value is greater than or equal to a preset coherence threshold, the first detection point is confirmed to be monitored by using the first monitoring mode, the obtained monitoring situation is correct, but when the second detection point is monitored by using the first monitoring mode, the obtained monitoring situation has deviation, so the first detection point is an edge point, namely the first detection point is set as a prediction reference point.

For example, the preset coherence threshold may be set to 0.3, the interferogram of the first detection point is obtained, and each pixel point in the interferogram is calculated to obtain a coherence value of 0.3, when the coherence value is equal to the preset coherence threshold, the first detection point is confirmed to be an edge point, and the first detection point is set to be a prediction reference point.

Still further, judging whether the monitoring data is in preset monitoring data or not, specifically comprising: if the coherence value is smaller than a preset coherence threshold, acquiring a first earth surface subsidence value, wherein the first earth surface subsidence value is a subsidence value corresponding to the first detection point in the target goaf, and the monitoring data further comprise the first earth surface subsidence value; judging whether the first earth surface sedimentation value is smaller than or equal to the second earth surface sedimentation value; and when the first earth surface subsidence value is smaller than or equal to the second earth surface subsidence value, confirming that the first detection point is a prediction reference point. Specifically, when the coherence value is smaller than the preset coherence threshold, it is determined that the coherence value corresponding to the first detection point is not in the monitoring range corresponding to the first monitoring mode, and it is further required to determine a sedimentation value corresponding to the first detection point in the target goaf, that is, a first surface sedimentation value, and determine whether the first surface sedimentation value is smaller than or equal to a second surface sedimentation value, where the second surface sedimentation value may be set according to the surface sedimentation value mentioned in the related paper as the application range of the DInSAR technology, the value range of the surface sedimentation value is 0-1, the more the sedimentation value corresponding to the detection point approaches 1 to indicate no sedimentation, and the more the sedimentation value corresponding to the detection point approaches 0 to indicate greater sedimentation. When the first surface subsidence value is smaller than or equal to the second surface subsidence value, the first detection point can be confirmed to be used as an edge point, namely the first detection point is used as a prediction datum point.

For example, the second ground subsidence value may be set to 28mm, and if the subsidence value corresponding to the first detection point in the target goaf is 28mm, that is, the first ground subsidence value is 28mm, and the first ground subsidence value is equal to the second ground subsidence value, the first detection point is determined to be monitored by using the first monitoring mode, and then the first detection point is set to be the prediction reference point, so that the second detection point is monitored by using the second monitoring mode.

Still further, if the coherence value is smaller than the preset coherence threshold and the first surface subsidence value is larger than the second surface subsidence value, the first detection point is confirmed to be an abnormal point, and at this time, the first monitoring mode is used for detecting the result of the first detection point with errors, and the detection point before the first detection point needs to be set as a prediction datum point so as to monitor the first detection point by using the second monitoring mode. The abnormal point is that the settlement situation obtained by the first monitoring mode is inaccurate, and the settlement situation corresponding to the first detection point can be obtained only by switching the monitoring mode.

S105: and calculating settlement between the prediction datum point and the second detection point by using a second monitoring mode to obtain second settlement data.

In S105, the second detection point is any detection point other than the first detection point, and after determining that the first detection point is the prediction reference point, the second detection method is used to calculate the sedimentation between the prediction reference point and the second detection point, so as to obtain second sedimentation data, which specifically includes: determining the first detection point as a prediction reference point; mounting an MEMS acceleration array displacement sensor at the second detection point; acquiring target positioning information, wherein the target positioning information is positioning information of a radar angle transmitter installed on a prediction datum point; and calculating the displacement between the target positioning information and the MEMS acceleration array type displacement sensor to obtain second sedimentation data. Specifically, after the first detection point is determined to be the prediction reference point, the MEMS acceleration array type displacement sensor is installed at the second detection point, so that the omnibearing monitoring of the bottom settlement of the target goaf can be realized, the settlement information of different detection points can be better captured by using the MEMS acceleration array type displacement sensor, and the comprehensiveness and the accuracy of the monitoring are improved. When the MEMS acceleration array type displacement sensor is installed in the target goaf, at least 2 MEMS acceleration array type displacement sensors are installed, the MEMS acceleration array type displacement sensors are installed on the ground surface above the mining roadway, 1 MEMS acceleration array type displacement sensor is arranged in parallel with the mining direction, and the other 1 MEMS acceleration array type displacement sensor is arranged perpendicular to the mining direction, wherein each MEMS acceleration array type displacement sensor terminal needs to be provided with 1 radar corner reflector as a control point. In order to position and mark when the radar corner reflector is installed on the prediction datum point, the MEMS acceleration array type displacement sensor is installed at the second detection point when the first detection point is determined to be an edge point, in order to facilitate the subsequent use of the MEMS acceleration array type displacement sensor to obtain second sedimentation data, the radar corner reflector is arranged at the prediction datum point, target positioning information is acquired, and then the displacement between the target positioning information and the MEMS acceleration array type displacement sensor is calculated, at the moment, the MEMS acceleration array type displacement sensor refers to equipment located on the second detection point, and the second sedimentation data is obtained according to the displacement.

How to calculate the displacement between the target positioning information and the MEMS acceleration array displacement sensor to obtain the second sedimentation data specifically comprises the following steps: acquiring a target included angle, wherein the target included angle is an included angle between a first detection point and a second detection point; acquiring a target length, wherein the target length is the length of the MEMS acceleration array type displacement sensor corresponding to the second detection point; and calculating the product of the target included angle and the target length to obtain second sedimentation data. Specifically, at this time, the radar corner reflector is installed on the first detection point, the target positioning information can be determined according to the radar corner reflector, and then the included angle between the current first detection point and the second detection point, namely the target included angle, is obtained, and the target included angle can be understood as the included angle between the ground surface and the subsidence. And acquiring the length of the MEMS acceleration array type displacement sensor corresponding to the second detection point, wherein the length of the MEMS acceleration array type displacement sensor between the first detection point and the second detection point is fixed when the MEMS acceleration array type displacement sensor is installed, and the target length can be obtained according to the fixed installation length. And calculating the target length and the target included angle, and calculating the product of the target length and the target included angle to obtain second sedimentation data.

MEMS is an abbreviation for Micro-Electro-mechanical System, chinese name Micro-Electro-mechanical System. MEMS chips are electronic mechanical systems fabricated on silicon wafers using semiconductor technology, which can convert external physical and chemical signals into electrical signals. MEMS acceleration sensors utilize acceleration to sense motion and shock, such as the most widespread somatosensory detection in consumer electronics, and are widely used in game control, handle vibration and jolt, gesture recognition, and the like. The principle of the MEMS acceleration sensor is Newton's second law, the acceleration is proportional to the external force and inversely proportional to the mass of an object: f=ma. Under the action of earth gravity, the mass block in the silicon wafer at the middle layer of the MEMS accelerometer can displace, and the gravity acceleration suffered by the mass block can be measured by measuring the displacement of the mass block through a capacitor. The middle layer silicon wafer is consistent with the gravity direction of the earth, and the measured gravity acceleration value is the largest (1 g). When the middle layer silicon wafer is perpendicular to the gravity direction of the earth, the measured gravity acceleration value is the smallest (0 g).

Therefore, the included angle between the MEMS accelerometer and the earth gravity direction can be measured by utilizing the gravity acceleration value measured by the MEMS accelerometer. If a triaxial MEMS accelerometer is adopted, namely three sets of MEMS sensitive chips are configured in the sensor, each set of chips consists of an upper silicon wafer, a middle silicon wafer and a lower silicon wafer, and the three sets of chips are assembled in X, Y, Z directions of the sensor. When an included angle exists between the measured object and the gravity acceleration, the acceleration on the X/Y/Z three-way induction axis of the triaxial MEMS accelerometer is correspondingly changed, and the inclination angle can be calculated indirectly. If the continuous multi-section MEMS accelerometers are connected in series to be arranged into an array displacement sensor, each measuring unit is provided with a triaxial MEMS inclinometer, and the triaxial MEMS inclinometer comprises induction axes in three directions of XYZ, and has the capability of sensing the gravity inclination angle of the direction in which each induction axis is located. In the initial state, the measuring unit is horizontally placed, and the XY axis is vertical to the gravity direction. When the measuring unit is subjected to inclination deformation, the three-way induction shaft of the MEMS inclinometer correspondingly rotates, and the inclination displacement of the measuring unit, namely second sedimentation data, can be calculated according to the output gravity inclination response.

S106: and adding the first sedimentation data and the second sedimentation data to obtain third sedimentation data, and taking the third sedimentation data as a sedimentation value corresponding to the second detection point.

In S106, when the first sedimentation data and the second sedimentation data are obtained, the first sedimentation data is a sedimentation value corresponding to the first detection point, the second sedimentation data is a sedimentation value from the prediction reference point to the second detection point based on the first detection point, but the actual second detection point should use the ground surface of the target goaf as the prediction reference point, further calculate a sedimentation value from the ground surface to the second detection point, the sedimentation value from the ground surface of the target goaf to the first detection point can be determined according to the first sedimentation data, and then the sedimentation value from the first detection point to the second detection point can be determined according to the second sedimentation data, so the sedimentation data from the second detection point to the ground surface need to be added with the first sedimentation data and the second sedimentation data, and the third settlement data obtained only represents the settlement between the earth surface and the second detection point. The surface at this point refers to the initial surface condition of the mine in the historical monitoring data. As shown in fig. 3, 5 detection points are set in the target goaf, at this time, all of the 5 detection points are in an earth surface initial state, after earth surface subsidence occurs in the target goaf, subsidence values corresponding to the 5 detection points are sequentially obtained, and in fig. 3, the monitoring ranges of the first monitoring mode and the second monitoring mode are divided by a dotted line so as to select a proper monitoring mode for monitoring according to the current earth surface subsidence condition. The a represents the range of the first monitoring mode which can monitor the surface subsidence, and the first monitoring mode represents the range monitored by using the DINSAR. b represents the range of the second monitoring mode which can monitor the earth surface subsidence, and the second monitoring mode represents the range monitored by using the MEMS acceleration array type displacement sensor. After sedimentation occurs, only sedimentation values at the 1 st point and the 5 th point can be obtained by using a first monitoring mode, namely sedimentation values between 1 and 11 and between 5 and 55 can be obtained by using the first monitoring mode, and the sedimentation values between 1 and 11 are first sedimentation data; however, the sedimentation values obtained by the first monitoring method at the 2 nd, 3 rd and 4 th points are inaccurate, so that the second monitoring method can be used for obtaining the sedimentation data between the 2 nd, 3 rd and 4 th points, the second monitoring method is used for obtaining the sedimentation data between the 11 th and 22 th points, 11 represents the prediction reference point, 22 represents the second detection point, and the second sedimentation data are obtained. The sedimentation data between points 2 and 11 can be used for sedimentation data between points 1 and 11, and the sedimentation data between the two is the same, namely the first sedimentation data. And obtaining sedimentation data between 11 and 22, namely second sedimentation data, and adding the first sedimentation data and the second sedimentation data to obtain third sedimentation data, wherein the third sedimentation data represents sedimentation values between 2 points and 22. According to the calculation mode, the 3 rd point and the 4 th point can be calculated, and after sedimentation values of a plurality of detection points corresponding to the target goaf are calculated in sequence. In order to further ensure the accuracy of obtaining the sedimentation value, the 5 th point may be set as the first prediction reference point, and the 5 th point may be used as the calibration reference point, so as to calibrate the sedimentation value calculated by using the first detection point. The method comprises the steps of firstly obtaining a sedimentation value between a 5 th point and a 55 th point, namely first sedimentation data, then obtaining a sedimentation value between a 4 th point and a 55 th point, wherein the sedimentation value between the 4 th point and the 55 th point is the same as the sedimentation value between the 5 th point and the 55 th point, namely obtaining first sedimentation, namely obtaining a sedimentation value between the 55 th point and the 44 th point, namely second sedimentation data, and adding the sedimentation value between the 4 th point and the 55 th point and the sedimentation value between the 55 th point and the 44 th point, so as to obtain third sedimentation data. If the sedimentation value of each detection point obtained by using the 5 th point as the calibration reference point is the same as the sedimentation value of each detection point obtained by using the 1 st point as the prediction reference point, the obtained monitoring result error, namely the calibration is confirmed to be correct. If the sedimentation values are different, the monitoring result is confirmed to be incorrect, and the sedimentation conditions of all detection points in the target goaf are required to be monitored again.

S107: and sequentially summarizing sedimentation values corresponding to the first detection point and the second detection point to obtain a target sedimentation value, so that the target mining area is conveniently treated according to the target sedimentation value.

In S107, after the sedimentation values corresponding to the first detection point and the second detection point are obtained, that is, the first sedimentation data and the third sedimentation data, the sedimentation values corresponding to the detection points in the target goaf are summarized, so as to obtain a target sedimentation value, where the target sedimentation value represents the complete information of the surface subsidence basin in the target goaf. And then the target mining area is treated according to the target sedimentation value, and if the target sedimentation value is in a dangerous range, the surface subsidence of the target mining area is further treated according to the target sedimentation value.

Ground movement and deformation induced by subsurface goaf is a complex spatiotemporal process. It is difficult to obtain complete information of the subsidence basin of the mine, whether it be a single DInSAR technology or a MEMS accelerometer. The InSAR technology has the advantage of monitoring large-area creep deformation, and the MEMS acceleration array displacement sensor is more suitable for monitoring large-gradient deformation (such as large-scale abrupt sliding, ground surface fission and the like). The combination of the two provides a method for monitoring subsidence deformation of the surface of the mine. By the monitoring mode, comprehensive monitoring and analysis of the subsidence of the ground surface of the mining area are realized.

Through carrying out the large scale DINSAR monitoring to the colliery goaf, realize the large tracts of land investigation and the quick discernment of goaf, set up coherence threshold value and can accurately measure subsidence basin edge creep deformation, delimit big gradient deformation district. A small amount of MEMS acceleration array type displacement sensors are distributed in a large gradient deformation area of the defined earth surface deformation basin, and the relative displacement of the sensors formed by large sudden sliding, earth surface fission and the like of the center position of the subsidence basin above the goaf in the working surface mining process is monitored in real time. The MEMS acceleration array type displacement sensor terminal is arranged at the edge of the subsidence basin, a corner reflector is connected above the ground surface, the accurate absolute deformation quantity monitored by the DINSAR is transmitted to the MEMS acceleration array type displacement sensor, the relative displacement measured by the array type displacement sensor is converted into the absolute displacement quantity, a small quantity of sensors are arranged to directly measure the large deformation quantity of the subsidence basin, and the comprehensive monitoring and analysis of the subsidence basin on the ground surface of a mining area are realized.

By adopting the method, the height informatization of the surface monitoring of the mining area can be realized, the large-range high-precision continuous monitoring analysis of the surface deformation can be realized by arranging control points on the surface and without manual measurement, the accurate monitoring of the surface deformation basin of the mining area can be realized, and the problem that the monitoring result is inaccurate because the large deformation area cannot be accurately monitored by using the D-InSAR technology is solved.

The embodiment of the application also provides a device for monitoring the deformation of the surface of the mining area, and fig. 4 is a schematic structural diagram of the device for monitoring the deformation of the surface of the mining area, and referring to fig. 4, the device comprises a receiving unit 401, a processing unit 402 and a summarizing unit 403.

And the receiving unit 401 receives the target mining area monitoring request sent by the user equipment.

The processing unit 402 determines a target goaf according to the target mining area monitoring request, wherein the target goaf is any one area in the target mining area, and the target goaf consists of a plurality of detection points; performing sedimentation monitoring on a first detection point by using a first monitoring mode to obtain first sedimentation data, wherein the first detection point is any one detection point of a plurality of detection points; determining the first detection point as a prediction reference point based on the first detection point as an edge point; calculating settlement between the prediction datum point and a second detection point by using a second monitoring mode to obtain second settlement data, wherein the second detection point is any detection point except the first detection point in the plurality of detection points; and adding the first sedimentation data and the second sedimentation data to obtain third sedimentation data, and taking the third sedimentation data as a sedimentation value corresponding to the second detection point.

And the summarizing unit 403 sequentially summarizes the sedimentation values corresponding to the first detection point and the second detection point to obtain a target sedimentation value, so that the target mining area is conveniently processed according to the target sedimentation value.

In a possible implementation manner, the processing unit 402 is configured to perform multiple detection on the target goaf by using a differential synthetic aperture radar technology to obtain multiple radar echo data, where the multiple radar echo data includes images and geographic location information, the images are captured images corresponding to different angles at different time points, and the first monitoring mode is the differential synthetic aperture radar technology; the receiving unit 401 is configured to obtain a target image, where the target image is an image corresponding to a plurality of time points where the first detection point is located; the processing unit 402 is configured to process the target image to obtain an interferogram; and carrying out phase analysis on the interference pattern to obtain a displacement vector of the first detection point, wherein the displacement vector is the first sedimentation data.

In a possible implementation manner, the receiving unit 401 is configured to obtain monitoring data of the first detection point; the processing unit 402 is configured to determine whether the monitoring data is in preset monitoring data; if the monitoring data is in the preset monitoring data, the first detection point is confirmed to be set as a prediction datum point.

In a possible implementation manner, the processing unit 402 is configured to determine that the first detection point is a prediction reference point; mounting an MEMS acceleration array displacement sensor at the second detection point; the receiving unit 401 is configured to obtain target positioning information, where the target positioning information is positioning information of the radar angle transmitter installed on the prediction reference point; the processing unit 402 is configured to calculate a displacement amount between the target positioning information and the MEMS acceleration array displacement sensor, so as to obtain second sedimentation data.

In a possible implementation manner, the receiving unit 401 is configured to obtain a target included angle, where the target included angle is an included angle between the first detection point and the second detection point; the receiving unit 401 is configured to obtain a target length, where the target length is a length of the second detection point corresponding to the MEMS acceleration array displacement sensor; the processing unit 402 is configured to calculate a product of the target angle and the target length to obtain second sedimentation data.

In a possible implementation manner, the receiving unit 401 is configured to obtain a coherence value, where the coherence value is a value obtained by calculating each pixel point in the interferogram; the monitoring data includes a coherence value; the processing unit 402 is configured to determine whether the coherence value is greater than or equal to a preset coherence threshold; if the coherence value is greater than or equal to a preset coherence threshold, confirming that a first detection point corresponding to the interference pattern is an edge point, and the first detection point is a prediction reference point.

In a possible implementation manner, the receiving unit 401 is configured to obtain a first surface subsidence value if the coherence value is smaller than a preset coherence threshold, where the first surface subsidence value is a subsidence value corresponding to the first detection point in the target goaf, and the monitored data further includes the first surface subsidence value; the processing unit 402 is configured to determine whether the first surface subsidence value is less than or equal to the second surface subsidence value; and when the first earth surface subsidence value is smaller than or equal to the second earth surface subsidence value, confirming that the first detection point is a prediction reference point.

It should be noted that: in the device provided in the above embodiment, when implementing the functions thereof, only the division of the above functional modules is used as an example, in practical application, the above functional allocation may be implemented by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules, so as to implement all or part of the functions described above. In addition, the embodiments of the apparatus and the method provided in the foregoing embodiments belong to the same concept, and specific implementation processes of the embodiments of the method are detailed in the method embodiments, which are not repeated herein.

The application also discloses electronic equipment. Referring to fig. 5, fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application. The electronic device 500 may include: at least one processor 501, at least one network interface 504, a user interface 503, a memory 505, at least one communication bus 502.

Wherein a communication bus 502 is used to enable connected communications between these components.

The user interface 503 may include a Display screen (Display) and a Camera (Camera), and the optional user interface 503 may further include a standard wired interface and a standard wireless interface.

The network interface 504 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface), among others.

Wherein the processor 501 may include one or more processing cores. The processor 501 connects various parts throughout the server using various interfaces and lines, performs various functions of the server and processes data by executing or executing instructions, programs, code sets, or instruction sets stored in the memory 505, and invoking data stored in the memory 505. Alternatively, the processor 501 may be implemented in at least one hardware form of digital signal Processing (DIGITAL SIGNAL Processing, DSP), field-Programmable gate array (Field-Programmable GATE ARRAY, FPGA), programmable logic array (Programmable Logic Array, PLA). The processor 501 may integrate one or a combination of several of a central processing unit (Central Processing Unit, CPU), an image processor (Graphics Processing Unit, GPU), and a modem, etc. The CPU mainly processes an operating system, a user interface, an application request and the like; the GPU is used for rendering and drawing the content required to be displayed by the display screen; the modem is used to handle wireless communications. It will be appreciated that the modem may not be integrated into the processor 501 and may be implemented by a single chip.

The Memory 505 may include a random access Memory (Random Access Memory, RAM) or a Read-Only Memory (Read-Only Memory). Optionally, the memory 505 comprises a non-transitory computer readable medium (non-transitory computer-readable storage medium). Memory 505 may be used to store instructions, programs, code sets, or instruction sets. The memory 505 may include a program storage area and a data storage area, wherein the program storage area is stored. Instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing the above-described respective method embodiments, etc. may be stored; the storage data area may store data or the like involved in the above respective method embodiments. The memory 505 may also optionally be at least one storage device located remotely from the processor 501.

As shown in fig. 5, an operating system, a network communication module, a user interface module, and an application program for monitoring temperature abnormality based on a mobile phone may be included in the memory 505 as one type of computer storage medium.

In the electronic device 500 shown in fig. 5, the user interface 503 is mainly used for providing an input interface for a user, and acquiring data input by the user; and processor 501 may be configured to invoke the application stored in memory 505 for cell phone based temperature anomaly monitoring, which when executed by one or more processors, causes the electronic device to perform the method as described in one or more of the embodiments above.

It should be noted that, for simplicity of description, the foregoing method embodiments are all described as a series of acts, but it should be understood by those skilled in the art that the present application is not limited by the order of acts described, as some steps may be performed in other orders or concurrently in accordance with the present application. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all of the preferred embodiments, and that the acts and modules referred to are not necessarily required for the present application.

In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to related descriptions of other embodiments.

In the several embodiments provided by the present application, it should be understood that the disclosed apparatus may be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative, such as the division of the units, merely a logical function division, and there may be additional manners of dividing the actual implementation, such as multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some service interface, device or unit indirect coupling or communication connection, electrical or otherwise.

The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.

The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable memory. Based on this understanding, the technical solution of the present application may be embodied essentially or partly in the form of a software product, or all or part of the technical solution, which is stored in a memory, and includes several instructions for causing a computer device (which may be a personal computer, a server, a network device, or the like) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned memory includes: various media capable of storing program codes, such as a U disk, a mobile hard disk, a magnetic disk or an optical disk.

The foregoing is merely exemplary embodiments of the present disclosure and is not intended to limit the scope of the present disclosure. That is, equivalent changes and modifications are contemplated by the teachings of this disclosure, which fall within the scope of the present disclosure. Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains.

Claims

1. A method of monitoring surface deformation of a mine, the method comprising:

receiving a target mining area monitoring request sent by user equipment;

Determining a target goaf according to the target mining area monitoring request, wherein the target goaf is any one area in the target mining area and consists of a plurality of detection points;

performing sedimentation monitoring on the first detection point by using a first monitoring mode to obtain first sedimentation data, wherein the first detection point is any one detection point of a plurality of detection points;

determining the first detection point as a prediction datum point based on the first detection point being an edge point;

Calculating settlement between the predicted datum point and a second detection point by using a second monitoring mode to obtain second settlement data, wherein the second detection point is any detection point except the first detection point;

Adding the first sedimentation data and the second sedimentation data to obtain third sedimentation data, and taking the third sedimentation data as a sedimentation value corresponding to the second detection point;

And sequentially summarizing the sedimentation values corresponding to the first detection point and the second detection point to obtain the target sedimentation value, so that the target mining area is conveniently processed according to the target sedimentation value.

2. The method of claim 1, wherein the first detection point is subjected to sedimentation monitoring by using a first monitoring mode to obtain first sedimentation data; the method specifically comprises the following steps:

detecting the target goaf for multiple times by using a differential synthetic aperture radar technology to obtain multiple radar echo data, wherein the multiple radar echo data comprise images and geographic position information, the images are shot images corresponding to different angles at different time points, and the first monitoring mode is the differential synthetic aperture radar technology;

acquiring a target image, wherein the target image is an image corresponding to a plurality of time points of the first detection point;

processing the target image to obtain an interference pattern;

and carrying out phase analysis on the interference pattern to obtain a displacement vector of the first detection point, wherein the displacement vector is the first sedimentation data.

3. The method of claim 2, wherein prior to the determining the first detection point as a prediction reference point based on the first detection point being an edge point, the method further comprises:

acquiring monitoring data of the first detection point;

Judging whether the monitoring data are in preset monitoring data or not;

And if the monitoring data are in the preset monitoring data, confirming that the first detection point is set as the prediction datum point.

4. The method of claim 1, wherein the calculating the sedimentation from the predicted fiducial point to a second point using a second monitoring method results in second sedimentation data; the method specifically comprises the following steps:

determining the first detection point as the prediction reference point;

mounting an MEMS acceleration array displacement sensor at the second detection point;

acquiring target positioning information, wherein the target positioning information is positioning information of a radar angle transmitter installed on the prediction datum point;

and calculating the displacement between the target positioning information and the MEMS acceleration array type displacement sensor to obtain the second sedimentation data.

5. The method according to claim 4, wherein calculating the displacement between the target positioning information and the MEMS acceleration array displacement sensor to obtain the second sedimentation data specifically includes:

Obtaining a target included angle, wherein the target included angle is an included angle between the first detection point and the second detection point;

Acquiring a target length, wherein the target length is the length of the second detection point corresponding to the MEMS acceleration array type displacement sensor;

And calculating the product of the target included angle and the target length to obtain the second sedimentation data.

6. A method according to claim 3, wherein said determining whether said monitored data is at preset monitored data; the method specifically comprises the following steps:

Obtaining a coherence value, wherein the coherence value is obtained by calculating each pixel point in the interference diagram; the monitoring data includes the coherence value;

judging whether the coherence value is larger than or equal to a preset coherence threshold;

And if the coherence value is greater than or equal to the preset coherence threshold, confirming that a first detection point corresponding to the interference pattern is an edge point, wherein the first detection point is the prediction reference point.

7. The method of claim 6, wherein after said determining if the coherence value is greater than or equal to a preset coherence threshold, the method further comprises:

If the coherence value is smaller than the preset coherence threshold, a first earth surface subsidence value is obtained, wherein the first earth surface subsidence value is a subsidence value corresponding to the first detection point in the target goaf, and the monitoring data further comprises the first earth surface subsidence value;

judging whether the first surface subsidence value is smaller than or equal to a second surface subsidence value;

And when the first earth surface subsidence value is smaller than or equal to the second earth surface subsidence value, confirming that the first detection point is the prediction reference point.

8. A device for monitoring the surface deformation of a mining area, which is characterized by comprising a receiving unit (401), a processing unit (402) and a summarizing unit (403);

The receiving unit (401) receives a target mining area monitoring request sent by user equipment;

The processing unit (402) determines a target goaf according to the target mining area monitoring request, wherein the target goaf is any one area in the target mining area and consists of a plurality of detection points; performing sedimentation monitoring on the first detection point by using a first monitoring mode to obtain first sedimentation data, wherein the first detection point is any one detection point of a plurality of detection points; determining the first detection point as a prediction datum point based on the first detection point being an edge point; calculating settlement between the predicted datum point and a second detection point by using a second monitoring mode to obtain second settlement data, wherein the second detection point is any detection point except the first detection point; adding the first sedimentation data and the second sedimentation data to obtain third sedimentation data, and taking the third sedimentation data as a sedimentation value corresponding to the second detection point;

and the summarizing unit (403) sequentially summarizes the sedimentation values corresponding to the first detection point and the second detection point to obtain the target sedimentation value so as to process the target mining area according to the target sedimentation value.

9. An electronic device comprising a processor (501), a memory (505), a user interface (503) and a network interface (504), the memory (505) being configured to store instructions, the user interface (503) and the network interface (504) being configured to communicate with other devices, the processor (501) being configured to execute the instructions stored in the memory (505) to cause the electronic device (500) to perform the method according to any of claims 1-7.

10. A computer readable storage medium storing instructions which, when executed, perform the method of any one of claims 1-7.