Automatic monitoring and early warning system for mine geological disasters

Abstract

The invention relates to the technical field of geological disaster early warning, and provides an automatic monitoring and early warning system and method for mine geological disasters, and the system comprises a data collection module which is used for collecting point cloud data of a mine region and analyzing the topographic condition of the mine region; the feature extraction module is used for extracting disaster type features corresponding to the mine geological disaster types; the area monitoring module is used for identifying influence factors and formation mechanisms of a geological disaster area so as to monitor a mine area in real time; the geological disaster identification module is used for setting a ground subsidence monitoring mode and a ground fracture intelligent identification system of a mine area; the geological disaster early warning module is used for analyzing the earth surface change rule of the geological disaster area and setting a geological disaster early warning mechanism of the mine area; and the result output module is used for outputting the monitoring result of the mine area in combination with the land subsidence monitoring mode, the ground fracture intelligent identification system and the geological disaster early warning mechanism. According to the invention, the accuracy and comprehensiveness of mine geological disaster monitoring and early warning are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of geological disaster early warning, and in particular to an automatic monitoring and early warning system for mining geological disasters. Background Art

[0002] Mining geological disasters refer to geological phenomena that cause damage and loss to human life, property and the environment due to geological actions and human engineering activities, such as collapse, landslides, mud-rock flows, etc. With the rapid development of various industries in society, people have put forward higher requirements for the use of energy. For the mining team, while carrying out scientific development of mineral resources, it can also reasonably and efficiently ensure the safety of the mine development environment. This has always been the focus of mining. Therefore, it is particularly important to monitor and warn of geological disasters in the mining area of ​​the mine.

[0003] Traditional mining geological disaster monitoring and early warning methods often rely on a single type of data and monitoring equipment, such as a single crack measurement or deformation measurement, which may not be able to fully reflect the complex changes in the mining geological environment, limiting the scope of geological disaster monitoring and resulting in a lack of accuracy and comprehensiveness in mining geological disaster monitoring and early warning. Summary of the invention

[0004] The present invention provides an automatic monitoring and early warning system for mining geological disasters, the main purpose of which is to improve the accuracy and comprehensiveness of monitoring and early warning for mining geological disasters.

[0005] To achieve the above-mentioned purpose, the present invention provides an automatic monitoring and early warning system for mining geological disasters, comprising: a data acquisition module, a feature extraction module, a regional monitoring module, a geological disaster identification module, a geological disaster early warning module, and a result output module;

[0006] The data acquisition module is used to acquire the mine area to be monitored, collect point cloud data of the mine area, and analyze the topographic conditions of the mine area according to the point cloud data;

[0007] The feature extraction module is used to identify the geological disaster area in the mining area based on the terrain conditions, analyze the mining geological disaster type in the geological disaster area, and extract the disaster type characteristics corresponding to the mining geological disaster type;

[0008] The regional monitoring module is used to identify the influencing factors and formation mechanism of the geological disaster area in combination with the mining geological disaster type and the characteristics of the disaster type, and to perform real-time monitoring of the mining area according to the formation mechanism and the influencing factors to obtain real-time monitoring data;

[0009] The geological disaster identification module is used to identify the mining subsidence area and ground fissures in the mining area according to the real-time monitoring data, set the ground subsidence monitoring mode of the mining area based on the mining subsidence area, and set the ground fissure intelligent identification system of the mining area according to the ground fissures;

[0010] The geological disaster early warning module is used to analyze the surface change law of the geological disaster area based on the ground subsidence monitoring mode and the ground fissure intelligent identification system, identify the key features of the surface change law, and set the geological disaster early warning mechanism of the mining area according to the key features;

[0011] The result output module is used to automatically monitor the mining area and obtain monitoring results by combining the ground subsidence monitoring mode, the ground fissure intelligent identification system and the geological disaster early warning mechanism.

[0012] Optionally, analyzing the topographic conditions of the mining area according to the point cloud data includes:

[0013] Classifying the point cloud data to obtain classified point cloud data;

[0014] Based on the classified point cloud data, identifying topographic features of the mining area;

[0015] Constructing a three-dimensional terrain model of the mining area according to the terrain features;

[0016] Analyzing the terrain stability and terrain erosion risk of the mining area based on the three-dimensional terrain model;

[0017] The terrain conditions of the mining area are analyzed in combination with the terrain stability and the terrain erosion risk.

[0018] Optionally, the identifying the geological disaster area in the mining area based on the terrain conditions includes:

[0019] Based on the terrain conditions, extracting geological features of the mining area;

[0020] Locating risk points in the mining area according to the geological features;

[0021] Conduct disaster trend analysis on the risk points to obtain geological disaster trends;

[0022] Identifying geological disaster points in the mining area, and analyzing the geological disaster risks in the mining area based on the geological disaster points;

[0023] Based on the geological disaster trend and the geological disaster risk, the geological disaster area in the mining area is identified.

[0024] Optionally, analyzing the geological disaster risk of the mining area based on the geological disaster point includes:

[0025] Identify the geographical location and hazard characteristics of the geological hazard site;

[0026] Calculating the probability of disaster occurrence at the geological disaster point according to the geographical location and the disaster characteristics;

[0027] Based on the probability of occurrence of the disaster, identifying the potential impact of the geological disaster point on the mining area;

[0028] Analyze the exposure and vulnerability of the mine area in light of the potential impacts;

[0029] Based on the exposure level and the vulnerability, the geological disaster risk of the mining area is analyzed.

[0030] Optionally, the analyzing the type of mining geological disasters in the geological disaster area includes:

[0031] Dispatch the mine exploration data of the geological disaster area;

[0032] Based on the mine exploration data, analyzing the distribution characteristics of the geological disaster area and identifying the geological and topographical characteristics of the geological disaster area;

[0033] Collecting historical disaster data of the geological disaster area, and calculating the disaster frequency of the geological disaster area based on the historical disaster data;

[0034] Based on the disaster frequency, the distribution characteristics and the geological and topographical characteristics, the types of mining geological disasters in the geological disaster area are analyzed.

[0035] Optionally, the identifying the influencing factors and formation mechanism of the geological disaster area by combining the mining geological disaster type and the disaster type characteristics includes:

[0036] Identify the mining situation in the geological disaster area according to the type of mining geological disaster and the characteristics of the disaster type;

[0037] Based on the mining situation, locate the mined-out area in the geological disaster area;

[0038] According to the mined-out area, identifying the influencing factors of the geological disaster area;

[0039] Based on the influencing factors, analyzing the properties of the surface soil in the goaf area;

[0040] According to the properties of the surface soil, the formation mechanism of the geological disaster zone is identified.

[0041] Optionally, the setting of the ground subsidence monitoring mode of the mining area based on the mining subsidence area includes:

[0042] Based on the mining subsidence area, identifying the change of groundwater level in the mining area;

[0043] Analyzing the degree of surface subsidence in the mining area according to the change of the groundwater level;

[0044] Based on the degree of surface subsidence, identifying the stratum stress in the mining area;

[0045] Combining the surface subsidence degree and the stratum stress, identifying the ground subsidence state of the mining area;

[0046] According to the ground subsidence status, a ground subsidence monitoring mode of the mining area is set.

[0047] Optionally, the analyzing the surface change law of the geological disaster area based on the ground subsidence monitoring mode and the ground fissure intelligent identification system includes:

[0048] Based on the ground subsidence monitoring mode and the ground fissure intelligent identification system, collecting surface subsidence data and ground fissure data of the geological disaster area;

[0049] Analyzing the surface subsidence law of the geological disaster area according to the surface subsidence data;

[0050] Based on the ground fissure data, identifying the development trend of the ground fissures in the geological disaster area;

[0051] Combined with the surface subsidence law and the development trend of the ground fissures, the surface change law of the geological disaster area is analyzed.

[0052] Optionally, setting a geological disaster early warning mechanism for the mining area according to the key features includes:

[0053] Based on the key features, defining geological hazard elements of the mining area;

[0054] Setting risk assessment indicators for the geological hazard elements;

[0055] Based on the risk assessment index, calculating the weight factor of the geological hazard element;

[0056] Calculating the risk value of the geological hazard element based on the weight factor and the risk assessment index;

[0057] Defining the risk level of the risk value, and setting the risk judgment standard of the geological hazard element according to the risk level;

[0058] Identify the classification standard of the risk judgment standard, and set the danger notification method of the geological hazard element based on the classification standard;

[0059] In combination with the risk level and the danger notification method, a geological disaster early warning mechanism for the mining area is set up.

[0060] The embodiment of the present invention analyzes the topographic conditions of the mining area according to the point cloud data, so as to timely discover the unstable areas of the mine, ensure the safety of mining, and formulate personalized geological disaster prevention measures according to the current mining situation; secondly, the embodiment of the present invention identifies the geological disaster area of ​​the mining area based on the topographic conditions, so as to avoid mining in unstable areas and reduce the occurrence of mining accidents, and analyzes the mining geological disaster types in the geological disaster areas and extracts the disaster type characteristics corresponding to the mining geological disaster types, so as to identify the influencing factors and formation mechanisms of the geological disasters in the mining area, thereby helping to formulate effective risk management and control measures; thirdly, the embodiment of the present invention By combining the mining geological disaster type and the characteristics of the disaster type, identifying the influencing factors and formation mechanism of the geological disaster area, it is helpful to evaluate the susceptibility of geological disasters in a specific area and improve the accuracy of mining disaster warning. According to the formation mechanism and the influencing factors, the mining area is monitored in real time to obtain real-time monitoring data, which can help to timely discover subtle changes in the internal environment of the mine, and provide a rich data source for subsequent data analysis and early warning, thereby preventing the occurrence of geological disasters. The embodiment of the present invention can help quickly identify mining subsidence areas and ground fissures in the mining area by identifying the mining subsidence areas and ground fissures according to the real-time monitoring data, and setting the ground subsidence monitoring mode and ground fissure intelligent recognition system in the mining area. The formation of subsidence areas and ground fissures can be identified, potential safety hazards can be discovered in time, and preventive measures can be taken to reduce the risk of accidents. Combined with drone remote sensing technology and other monitoring means, the monitoring accuracy of subsidence areas and ground fissures can be improved, and more detailed and accurate data can be obtained to help scientifically analyze and predict the occurrence of geological disasters; further, the embodiment of the present invention can better understand the development characteristics of geological disasters by analyzing the surface change laws of the geological disaster area based on the ground subsidence monitoring mode and the ground fissure intelligent identification system, realize ground subsidence prediction and early warning, and improve the technical level of geological disaster prevention and control. By setting up a geological disaster early warning mechanism in the mining area, the occurrence of geological disasters can be more accurately predicted. Occurrence, thereby improving the accuracy of early warning and reducing the losses caused by geological disasters; finally, the embodiment of the present invention combines the ground subsidence monitoring mode, the ground fissure intelligent identification system and the geological disaster early warning mechanism to automatically monitor the mining area and obtain monitoring results. It can realize automatic inspection, rapid collection and automatic production of real-life three-dimensional data of geological disasters in the mining area, improve the monitoring efficiency and accuracy of mining geological disasters, and obtain the dynamic changes of surface subsidence and ground fissures in real time. It can ensure that management personnel can timely understand the risk situation of geological disasters, make decisions and respond quickly, reduce the probability of occurrence and impact of geological disasters, and realize accurate and comprehensive monitoring and early warning of mining geological disasters.Therefore, the automatic monitoring and early warning system and method for mining geological disasters provided by the embodiments of the present invention can improve the accuracy and comprehensiveness of mining geological disaster monitoring and early warning. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] Figure 1 A functional module diagram of an automatic monitoring and early warning system for mining geological disasters provided by an embodiment of the present invention;

[0062] Figure 2 A schematic flow chart of a method for automatic monitoring and early warning of mining geological disasters provided in one embodiment of the present invention.

[0063] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0064] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0065] In addition, the step sequence in the following method embodiments is only an example and not a strict limitation.

[0066] In fact, the server-side equipment deployed by the automatic monitoring and early warning system for mining geological disasters may be composed of one or more devices. The above-mentioned automatic monitoring and early warning system for mining geological disasters can be implemented as: business instances, virtual machines, and hardware devices. For example, the automatic monitoring and early warning system for mining geological disasters can be implemented as a business instance deployed on one or more devices in a cloud node. In simple terms, the live broadcast service system can be understood as a software deployed on a cloud node, which is used to provide automatic monitoring and early warning services for mining geological disasters to each user terminal. Alternatively, the automatic monitoring and early warning system for mining geological disasters can also be implemented as a virtual machine deployed on one or more devices in a cloud node. Application software for managing each user terminal is installed in the virtual machine. Alternatively, the automatic monitoring and early warning system for mining geological disasters can also be implemented as a server consisting of many hardware devices of the same or different types, and one or more hardware devices are set to provide automatic monitoring and early warning services for mining geological disasters to each user terminal.

[0067] In terms of implementation, the automatic monitoring and early warning system for mining geological disasters and the user end are adapted to each other. That is, the automatic monitoring and early warning system for mining geological disasters is an application installed on the cloud service platform, and the user end is a client that establishes a communication connection with the application; or the automatic monitoring and early warning system for mining geological disasters is implemented as a website, and the user end is implemented as a web page; or the automatic monitoring and early warning system for mining geological disasters is implemented as a cloud service platform, and the user end is implemented as a small program in the instant messaging application.

[0068] Reference Figure 1 , which is a functional module diagram of an automatic monitoring and early warning system for mining geological disasters provided by an embodiment of the present invention.

[0069] The automatic monitoring and early warning system 100 for mining geological disasters of the present invention can be set in a cloud server. In terms of implementation, it can be used as one or more service devices, or it can be installed as an application on the cloud (such as a server of a live broadcast service operator, a server cluster, etc.), or it can be developed as a website. According to the functions implemented, the automatic monitoring and early warning system 100 for mining geological disasters includes a data acquisition module 101, a feature extraction module 102, a regional monitoring module 103, a geological disaster identification module 104, a geological disaster early warning module 105, and a result output module 106.

[0070] In the embodiment of the present invention, in the tracking based on the automatic monitoring and early warning of mine geological disasters, each of the above modules can be independently implemented and called with other modules. The call here can be understood as a module that can connect multiple modules of another type and provide corresponding services to the multiple modules connected to it. In the automatic monitoring and early warning system for mine geological disasters provided by the embodiment of the present invention, the scope of application of the automatic monitoring and early warning architecture for mine geological disasters can be adjusted by adding modules and directly calling them without modifying the program code, so as to achieve cluster-type horizontal expansion, so as to achieve the purpose of quickly and flexibly expanding the automatic monitoring and early warning system for mine geological disasters. In practical applications, the above modules can be set in the same device or different devices, or they can be set in virtual devices, such as service instances in cloud servers.

[0071] In the following, in conjunction with specific embodiments, each component and specific workflow of the automatic monitoring and early warning system for mining geological disasters are described respectively.

[0072] The data acquisition module 101 is used to acquire a mining area to be monitored, and to collect point cloud data of the mining area, and to analyze the topographic conditions of the mining area according to the point cloud data.

[0073] The embodiment of the present invention can construct a three-dimensional numerical model including ore layers and rock masses by acquiring a mining area to be monitored and collecting point cloud data of the mining area, so as to realize subsidence monitoring and risk prediction of the mining area. The mining area refers to a specific geographical area where the coal industry conducts mining activities, including the mining surface on the surface and the goaf underground. The point cloud data refers to a data set of a large number of points obtained by three-dimensional ranging technologies such as lidar.

[0074] Optionally, the point cloud data collection of the mining area can be achieved using laser radar.

[0075] Furthermore, the embodiment of the present invention can timely discover unstable areas of the mine by analyzing the terrain conditions of the mining area according to the point cloud data, and can ensure the safety of mining. At the same time, it can formulate personalized geological disaster prevention measures according to the current mining situation. The terrain conditions refer to the natural geographical characteristics of the mining area, such as geological structure and rock type.

[0076] As an embodiment of the present invention, analyzing the terrain conditions of the mining area based on the point cloud data includes: classifying the point cloud data to obtain classified point cloud data; identifying terrain features of the mining area based on the classified point cloud data; constructing a three-dimensional terrain model of the mining area based on the terrain features; analyzing the terrain stability and terrain erosion risk of the mining area based on the three-dimensional terrain model; and analyzing the terrain conditions of the mining area in combination with the terrain stability and the terrain erosion risk.

[0077] Among them, the classified point cloud data refers to single-category point cloud data obtained by classifying each point in the point cloud data into a specific category or group, such as surface point cloud, vegetation point cloud and mining surface point cloud; the terrain features refer to features extracted from the classified point cloud data and used to describe the surface morphology of the mining area; the three-dimensional terrain model refers to a three-dimensional digital representation of the mining area constructed based on the classified point cloud data and terrain features; the terrain stability refers to the stability of the slope rock and soil in the mining area under certain slope height and slope angle conditions; the terrain erosion risk refers to soil erosion, vegetation destruction and ecosystem rupture caused by natural factors or human activities, such as land subsidence and surface deformation.

[0078] Optionally, the classification processing of the point cloud data can be obtained through a classification algorithm, such as a random forest algorithm; based on the classified point cloud data, the identification of the terrain features of the mining area can be achieved using Globa l Mapper software; based on the terrain features, the construction of the three-dimensional terrain model of the mining area can be obtained through a three-dimensional grid model; based on the three-dimensional terrain model, the terrain stability analysis of the mining area can be achieved using terrain feature profiles, such as applying the limit equilibrium method and numerical simulation method to analyze the terrain feature profiles; based on the three-dimensional terrain model, the terrain erosion risk analysis of the mining area can be obtained by evaluating the impact of mining activities on terrain erosion.

[0079] The feature extraction module 102 is used to identify the geological disaster area in the mining area based on the terrain conditions, analyze the mining geological disaster type in the geological disaster area, and extract the disaster type characteristics corresponding to the mining geological disaster type.

[0080] The embodiment of the present invention can avoid mining in unstable areas and reduce the occurrence of mining accidents by identifying the geological disaster areas in the mining area based on the terrain conditions. The geological disaster areas refer to areas that may cause harm to people’s lives and property due to naturally occurring or man-made geological phenomena.

[0081] As an embodiment of the present invention, the identifying of the geological disaster area in the mining area based on the terrain conditions includes: extracting the geological characteristics of the mining area based on the terrain conditions; locating the risk points in the mining area according to the geological characteristics; performing disaster trend analysis on the risk points to obtain a geological disaster trend; identifying the geological disaster points in the mining area, and analyzing the geological disaster risks in the mining area based on the geological disaster points; and identifying the geological disaster area in the mining area in combination with the geological disaster trend and the geological disaster risk.

[0082] Among them, the geological characteristics refer to the geological structure and characteristics of the mining area, such as rock formation types; the risk points refer to specific locations or areas where geological disasters may occur based on the analysis of geological characteristics; the geological disaster trend refers to the potential trend of geological disasters over time; the geological disaster points refer to specific locations where geological disasters have occurred or there are obvious signs that geological disasters are about to occur; and the geological disaster risk refers to the degree of damage that geological disasters may cause to people, property, environment and economic activities.

[0083] Optionally, based on the terrain conditions, the extraction of geological features of the mining area can be obtained through geological modeling software, such as RockWorks software. According to the geological features, the positioning of risk points in the mining area can be achieved by utilizing potential field edge recognition technology and extracting geological structural features through automated interpretation technology. The catastrophic trend analysis of the risk points can be obtained through ArcGIS trend analysis tools. The identification of geological disaster points in the mining area can be achieved using geophysical methods, such as the trench depth method.

[0084] As another embodiment of the present invention, the analysis of the geological disaster risk of the mining area based on the geological disaster point includes: identifying the geographical location and disaster characteristics of the geological disaster point; calculating the disaster occurrence probability of the geological disaster point based on the geographical location and the disaster characteristics; identifying the potential impact of the geological disaster point on the mining area based on the disaster occurrence probability; analyzing the exposure and vulnerability of the mining area based on the potential impact; and analyzing the geological disaster risk of the mining area in combination with the exposure and vulnerability.

[0085] Among them, the geographical location refers to the exact location of the geological disaster point in the geographical space, the disaster characteristics refer to the specific characteristics of the geological disaster point, including the disaster type, geological structure, topography, hydrogeological conditions and historical disaster activity records, etc., the probability of disaster occurrence refers to the possibility of a disaster occurring at a geological disaster point within a certain period of time, the potential impact refers to the impact that may be caused to the surrounding areas if a disaster occurs at a geological disaster point, the exposure degree refers to the degree of direct impact that the disaster-prone objects (such as population, buildings, infrastructure, etc.) in the areas surrounding the geological disaster point may suffer when a disaster occurs, and the vulnerability refers to the degree of damage that the disaster-prone objects may suffer when a geological disaster occurs.

[0086] Optionally, the disaster feature identification of the geological disaster point can be achieved using the point space pattern method, and the identification of the potential impact of the geological disaster point on the mining area based on the probability of the disaster occurrence can be achieved using a risk assessment model, and based on the potential impact, the exposure level and vulnerability analysis of the mining area can be obtained through a GIS platform.

[0087] In an optional embodiment of the present invention, the probability of disaster occurrence at the geological disaster point is calculated according to the geographical location and the disaster characteristics using the following formula:

[0088]

[0089] Among them, k represents the probability of disaster occurrence when the geographical location and disaster characteristics of the geological disaster point are determined, PP dIt represents the ratio of the number of geological disaster points in the d classification interval to the area of ​​the interval, PP s It represents the ratio of the total number of geological hazard points s in the study area to the total area of ​​the study area, and PP represents the geological hazard points with determined geographical location and hazard characteristics.

[0090] Furthermore, the embodiment of the present invention can identify the influencing factors and formation mechanisms of geological disasters in the mining area by analyzing the types of mining geological disasters in the geological disaster area and extracting the disaster type characteristics corresponding to the mining geological disaster types, thereby helping to formulate effective risk management measures. The mining geological disaster types refer to various geological actions or geological phenomena that may occur during mining activities and cause damage and loss to human life, property, and the environment. The disaster type characteristics refer to the natural attributes of mining geological disasters, including the scale, intensity, frequency, breeding conditions, and changing laws of geological disasters.

[0091] As an embodiment of the present invention, the analysis of the type of mining geological disasters in the geological disaster area includes: dispatching the mining exploration data of the geological disaster area; based on the mining exploration data, analyzing the distribution characteristics of the geological disaster area, and identifying the geological and topographical characteristics of the geological disaster area; collecting the historical disaster data of the geological disaster area, and based on the historical disaster data, calculating the disaster frequency of the geological disaster area; based on the disaster frequency, the distribution characteristics and the geological and topographical characteristics, analyzing the type of mining geological disasters in the geological disaster area.

[0092] Among them, the mining exploration data refers to the direct observation and measurement data of the mining geological disaster area, the distribution characteristics refer to the spatial distribution of geological disasters, including the density of geological disaster points, spatial aggregation trends, etc., the geological terrain characteristics refer to the natural environment characteristics and geological structure characteristics of the mining area, the historical disaster data refers to the information on geological disaster events, time, location, scale, etc. that occurred in the mining area in the past, and the disaster frequency refers to the number of geological disasters that occur in a specific area within a certain period of time.

[0093] Optionally, the distribution characteristics analysis of the geological disaster area based on the mine exploration data can be achieved by using remote sensing technology, such as satellite remote sensing technology, and the geological terrain characteristics identification of the geological disaster area can be obtained by QG IS software.

[0094] In an optional embodiment of the present invention, based on the historical disaster data, the disaster frequency of the geological disaster area is calculated using the following formula:

[0095]

[0096] Among them, R i represents the disaster frequency in geological disaster areas, N imA represents the number of geological disasters occurring in the mth attribute interval of the evaluation factor i extracted from the historical disaster data. i represents the total area of ​​the mth attribute interval of evaluation factor i in the historical disaster data, N m It represents the number of geological disasters occurring in the mth attribute interval among all the evaluation factors in the historical disaster data, A represents the total area of ​​the attribute interval where the evaluation factor is located in the historical disaster data, m represents the attribute interval where the evaluation factor is located in the historical disaster data, and n represents the total number of attribute intervals of the evaluation factor i in the historical disaster data.

[0097] Optionally, the disaster type feature extraction corresponding to the mining geological disaster type can be achieved by using a high-resolution remote sensing geological disaster information automatic extraction method based on deep learning.

[0098] The regional monitoring module 103 is used to identify the influencing factors and formation mechanism of the geological disaster area in combination with the mining geological disaster type and the characteristics of the disaster type, and to perform real-time monitoring of the mining area according to the formation mechanism and the influencing factors to obtain real-time monitoring data.

[0099] The embodiment of the present invention identifies the influencing factors and formation mechanism of the geological disaster area by combining the mining geological disaster type and the characteristics of the disaster type, which helps to evaluate the susceptibility of geological disasters in a specific area and improve the accuracy of mining disaster warning. The formation mechanism refers to the internal causes and action processes that lead to the occurrence and development of geological disasters, and the influencing factors refer to all external conditions and internal properties that may affect the occurrence, development and impact range of geological disasters.

[0100] As an embodiment of the present invention, the combination of the mining geological disaster type and the disaster type characteristics to identify the influencing factors and formation mechanism of the geological disaster area includes: identifying the mining conditions in the geological disaster area according to the mining geological disaster type and the disaster type characteristics; locating the mined-out area in the geological disaster area based on the mining conditions; identifying the influencing factors of the geological disaster area according to the mined-out area; analyzing the properties of the surface soil in the mined-out area based on the influencing factors; and identifying the formation mechanism of the geological disaster area according to the properties of the surface soil.

[0101] Among them, the mining conditions refer to the mining history, current mining activities, mining methods, mining depth, geological structure of the mining area, surface and underground changes caused by mining, etc. The mined-out area refers to the underground void area formed due to mining activities, and the surface soil properties refer to the physical and mechanical properties of surface soil and rocks, including their density, moisture, porosity, strength, stability, etc.

[0102] Optionally, based on the type of mining geological disaster and the characteristics of the disaster type, the identification of mining conditions in the geological disaster zone can be obtained through geophysical exploration methods; based on the mining conditions, the positioning of the mined-out area in the geological disaster zone can be achieved using remote sensing monitoring equipment, such as laser L IDAR equipment; based on the mined-out area, the identification of influencing factors in the geological disaster zone can be obtained through surface dynamic process simulation software, such as Massflow software; based on the influencing factors, the analysis of surface soil properties in the mined-out area can be achieved using GeoStud io software; based on the properties of the surface soil, the identification of the formation mechanism of the geological disaster zone can be obtained through the deformation of the overlying rock mass.

[0103] Furthermore, the embodiments of the present invention can help to timely discover subtle changes in the internal environment of the mine by performing real-time monitoring of the mining area according to the formation mechanism and the influencing factors, and provide a rich data source for subsequent data analysis and early warning, thereby preventing the occurrence of geological disasters. The real-time monitoring data refers to the data on the mining environment and operating status collected in real time by various sensors and monitoring equipment.

[0104] Optionally, the real-time monitoring of the mining area according to the formation mechanism and the influencing factors can be achieved by using a mine online monitoring system.

[0105] The geological disaster identification module 104 is used to identify the mining subsidence area and ground fissures in the mining area according to the real-time monitoring data, set the ground subsidence monitoring mode of the mining area based on the mining subsidence area, and set the ground fissure intelligent identification system of the mining area according to the ground fissures.

[0106] The embodiment of the present invention can help to quickly identify the formation of subsidence areas and ground fissures by identifying mining subsidence areas and ground fissures in the mining area based on the real-time monitoring data, and timely discover potential safety hazards, so as to take preventive measures and reduce the risk of accidents. Combined with unmanned aerial vehicle remote sensing technology and other monitoring means, the monitoring accuracy of subsidence areas and ground fissures can be improved, and more detailed and accurate data can be obtained to help scientifically analyze and predict the occurrence of geological disasters. The mining subsidence area refers to a sinking area formed on the surface due to deformation, collapse, and weakening of the supporting capacity of the overlying rock and soil body caused by the exploitation of underground mineral resources. The ground fissure refers to cracks formed on the surface due to various reasons.

[0107] Optionally, based on the real-time monitoring data, the identification of mining subsidence areas and ground fissures in the mining area can be obtained by extracting ground subsidence information using Stacking InSAR and human-computer interactive interpretation of optical image mining collapse.

[0108] Furthermore, the embodiment of the present invention sets a ground subsidence monitoring mode for the mining area based on the mining subsidence area, so as to monitor the deformation of the surface in real time, predict the development trend of surface subsidence by analyzing the monitoring data, and realize early warning of ground subsidence disasters to reduce the occurrence of disasters such as ground collapse. The ground subsidence monitoring mode refers to a technology used to monitor and analyze the dynamic changes of ground subsidence disasters.

[0109] As an embodiment of the present invention, the ground subsidence monitoring mode of the mining area is set based on the mining subsidence area, including: based on the mining subsidence area, identifying the change of groundwater level in the mining area; analyzing the surface subsidence degree of the mining area according to the groundwater level change; based on the surface subsidence degree, identifying the stratum stress of the mining area; combining the surface subsidence degree and the stratum stress, identifying the ground subsidence state of the mining area; and setting the ground subsidence monitoring mode of the mining area according to the ground subsidence state.

[0110] Among them, the groundwater level change refers to the rise and fall amplitude and change trend of the groundwater level, the surface subsidence degree refers to the vertical displacement of the surface due to the movement or loss of underground materials, the stratum stress refers to the internal force acting on the stratum, and the ground subsidence state refers to the uneven settlement phenomenon caused by underground cavities, stratum movement or groundwater level changes.

[0111] Optionally, the identification of groundwater level changes in the mining area based on the mining subsidence area can be obtained by a water level meter, the analysis of the surface subsidence degree in the mining area based on the groundwater level changes can be achieved using InSAR technology, and the identification of stratum stress in the mining area based on the surface subsidence degree can be obtained through a stratum stress monitoring method based on fiber grating sensing.

[0112] The embodiment of the present invention sets up an intelligent ground fissure identification system in the mining area according to the ground fissures, so as to timely discover and prevent possible geological disasters, reduce the occurrence of mine safety accidents, and improve the safety production level of mines. By combining deep learning technology, the accuracy of crack identification can be improved and the distribution of cracks can be predicted. The intelligent ground fissure identification system refers to a workflow that uses deep learning technology to quickly and accurately identify ground fissures in a mining area.

[0113] As an embodiment of the present invention, the intelligent ground fissure identification system in the mining area is set up according to the ground fissures, including: collecting image data of the ground fissures, performing image optimization processing on the image data to obtain a target image; based on the target image, identifying boundary features of the ground fissures; based on the boundary features, constructing a deep learning model of the ground fissures; and based on the deep learning model, setting up the intelligent ground fissure identification system in the mining area.

[0114] Among them, the image data refers to the original ground fissure image collected from the mining area, the target image refers to the image after image optimization processing, the boundary feature refers to the edge information of the ground fissure in the target image, including the starting point, end point and direction of the crack, etc., and the deep learning model refers to an algorithm model built using deep learning technology that can identify the characteristics of ground fissures.

[0115] Optionally, the image optimization processing of the image data can be obtained through a Crack Image Analysis System, the boundary feature recognition of the ground fissures based on the target image can be implemented using a CrackSegFormer model, and the construction of a deep learning model of the ground fissures based on the boundary features can be obtained through a FCN network model.

[0116] The geological disaster warning module 105 is used to analyze the surface change law of the geological disaster area based on the ground subsidence monitoring mode and the ground fissure intelligent identification system, identify the key features of the surface change law, and set up a geological disaster warning mechanism in the mining area according to the key features.

[0117] The embodiment of the present invention analyzes the surface change law of the geological disaster area based on the ground subsidence monitoring mode and the ground fissure intelligent identification system, so as to better understand the development characteristics of geological disasters, realize ground subsidence prediction and early warning, and improve the technical level of geological disaster prevention and control. The surface change law refers to the regular characteristics of various change phenomena occurring on the earth's surface under the influence of natural and human factors.

[0118] As an embodiment of the present invention, the analysis of the surface change law of the geological disaster area based on the ground subsidence monitoring mode and the ground fissure intelligent identification system includes: based on the ground subsidence monitoring mode and the ground fissure intelligent identification system, collecting surface settlement data and ground fissure data of the geological disaster area; analyzing the surface settlement law of the geological disaster area according to the surface settlement data; identifying the development trend of ground fissures in the geological disaster area based on the ground fissure data; and analyzing the surface change law of the geological disaster area in combination with the surface settlement law and the ground fissure development trend.

[0119] Among them, the surface subsidence data refers to the elevation change data of ground points regularly measured by ground measurement methods, such as levels, total stations or GPS and other precision measurement equipment; the ground fissure data refers to the ground fissure images and their characteristic parameters collected by using drone low-altitude remote sensing technology, infrared remote sensing technology or digital image processing technology; the surface subsidence law refers to the subsidence change trend and pattern obtained by analyzing the surface subsidence data, such as the relationship between the subsidence rate, subsidence amount and time; the ground fissure development trend refers to the expansion and change trend of ground fissures over time identified by image processing and analysis technology based on ground fissure data, including the growth rate of the cracks, direction changes and other characteristics.

[0120] Optionally, based on the surface subsidence data, the analysis of surface subsidence rules in the geological disaster area can be obtained through random medium theory methods, and based on the ground fissure data, the identification of ground fissure development trends in the geological disaster area can be achieved using synthetic aperture radar interferometry technology.

[0121] Furthermore, the embodiments of the present invention can more accurately predict the occurrence of geological disasters by identifying the key features of the surface change law and setting up a geological disaster early warning mechanism in the mining area based on the key features, thereby improving the accuracy of the early warning and reducing the losses caused by geological disasters. The key features refer to the most significant and important indicators in the surface change law, such as the surface subsidence rate, and the geological disaster early warning mechanism refers to the technical means used to predict and release geological disaster information.

[0122] Optionally, the key feature identification of the surface change law can be obtained by monitoring the surface displacement state.

[0123] As an embodiment of the present invention, the geological disaster early warning mechanism of the mining area is set according to the key characteristics, including: defining the geological disaster elements of the mining area according to the key characteristics; setting the risk assessment index of the geological disaster elements; calculating the weight factor of the geological disaster elements based on the risk assessment index; calculating the risk value of the geological disaster elements based on the weight factor and the risk assessment index; defining the risk level of the risk value, and setting the risk judgment standard of the geological disaster elements according to the risk level; identifying the grading standard of the risk judgment standard, and setting the danger notification method of the geological disaster elements based on the grading standard; and setting the geological disaster early warning mechanism of the mining area in combination with the risk level and the danger notification method.

[0124] Among them, the geological hazard elements refer to the basic factors that may cause geological disasters, including geological conditions, topography, hydrogeological conditions, human factors, etc. The hazard assessment index refers to the specific parameters used to assess the degree of hazard of geological hazard elements, such as surface subsidence, ground fissures and rainfall, etc. The weight factor refers to the importance of each geological hazard element in mining geological hazards. The risk value refers to a quantitative indicator calculated based on the hazard assessment index of the geological hazard element and the respective weight factor. The risk level refers to the risk level divided according to the risk value. The risk judgment standard refers to the judgment basis set according to the risk level. The grading standard refers to the method used to convey warning information to relevant personnel and institutions in the geological disaster early warning mechanism, such as text messages, emails, mobile application push, automatic voice calls, etc. The danger notification method refers to the method used to convey warning information to relevant personnel and institutions in the geological disaster early warning mechanism, such as text messages, emails, mobile application push, automatic voice calls, etc.

[0125] Optionally, the definition of geological hazard elements in the mining area based on the key characteristics can be achieved by utilizing the risk assessment of geological hazards, the risk assessment index setting of the geological hazard elements can be obtained by analyzing the inducing factors and risks of geological hazards, and the calculation of the weight factors of the geological hazard elements based on the risk assessment index can be achieved by utilizing the hierarchical analysis method.

[0126] In an optional embodiment of the present invention, based on the weight factor and the risk assessment index, the risk value of the geological hazard element is calculated using the following formula:

[0127]

[0128] Among them, B represents the risk value of geological hazard factor g, x g represents the risk assessment index of the g-th geological hazard element, w g represents the weight factor of the g-th geological hazard element, e represents the total number of geological hazard elements, and g represents the index of the geological hazard element.

[0129] The result output module 106 is used to automatically monitor the mining area and obtain monitoring results by combining the ground subsidence monitoring mode, the ground fissure intelligent identification system and the geological disaster early warning mechanism.

[0130] The embodiment of the present invention combines the ground subsidence monitoring mode, the ground fissure intelligent identification system and the geological disaster early warning mechanism to automatically monitor the mining area and obtain monitoring results. It can realize automatic inspection, rapid collection and automatic production of real-life three-dimensional data of geological disasters in the mining area, improve the monitoring efficiency and accuracy of mining geological disasters, and obtain the dynamic changes of surface subsidence and ground fissures in real time. It can ensure that management personnel can timely understand the risk situation of geological disasters, make decisions and respond quickly, reduce the probability of occurrence and impact of geological disasters, and realize accurate and comprehensive monitoring and early warning of mining geological disasters. The monitoring results refer to the specific data and information obtained by automatically monitoring the mining area through the ground subsidence monitoring mode, the ground fissure intelligent identification system and the geological disaster early warning mechanism.

[0131] The embodiment of the present invention analyzes the topographic conditions of the mining area according to the point cloud data, so as to timely discover the unstable areas of the mine, ensure the safety of mining, and formulate personalized geological disaster prevention measures according to the current mining situation; secondly, the embodiment of the present invention identifies the geological disaster area of ​​the mining area based on the topographic conditions, so as to avoid mining in unstable areas and reduce the occurrence of mining accidents, and analyzes the mining geological disaster types in the geological disaster areas and extracts the disaster type characteristics corresponding to the mining geological disaster types, so as to identify the influencing factors and formation mechanisms of the geological disasters in the mining area, thereby helping to formulate effective risk management and control measures; thirdly, the embodiment of the present invention By combining the mining geological disaster type and the characteristics of the disaster type, identifying the influencing factors and formation mechanism of the geological disaster area, it is helpful to evaluate the susceptibility of geological disasters in a specific area and improve the accuracy of mining disaster warning. According to the formation mechanism and the influencing factors, the mining area is monitored in real time to obtain real-time monitoring data, which can help to timely discover subtle changes in the internal environment of the mine, and provide a rich data source for subsequent data analysis and early warning, thereby preventing the occurrence of geological disasters. The embodiment of the present invention can help quickly identify mining subsidence areas and ground fissures in the mining area by identifying the mining subsidence areas and ground fissures according to the real-time monitoring data, and setting the ground subsidence monitoring mode and ground fissure intelligent recognition system in the mining area. The formation of subsidence areas and ground fissures can be identified, potential safety hazards can be discovered in time, and preventive measures can be taken to reduce the risk of accidents. Combined with drone remote sensing technology and other monitoring means, the monitoring accuracy of subsidence areas and ground fissures can be improved, and more detailed and accurate data can be obtained to help scientifically analyze and predict the occurrence of geological disasters; further, the embodiment of the present invention can better understand the development characteristics of geological disasters by analyzing the surface change laws of the geological disaster area based on the ground subsidence monitoring mode and the ground fissure intelligent identification system, realize ground subsidence prediction and early warning, and improve the technical level of geological disaster prevention and control. By setting up a geological disaster early warning mechanism in the mining area, the occurrence of geological disasters can be more accurately predicted. Occurrence, thereby improving the accuracy of early warning and reducing the losses caused by geological disasters; finally, the embodiment of the present invention combines the ground subsidence monitoring mode, the ground fissure intelligent identification system and the geological disaster early warning mechanism to automatically monitor the mining area and obtain monitoring results. It can realize automatic inspection, rapid collection and automatic production of real-life three-dimensional data of geological disasters in the mining area, improve the monitoring efficiency and accuracy of mining geological disasters, and obtain the dynamic changes of surface subsidence and ground fissures in real time. It can ensure that management personnel can timely understand the risk situation of geological disasters, make decisions and respond quickly, reduce the probability of occurrence and impact of geological disasters, and realize accurate and comprehensive monitoring and early warning of mining geological disasters.Therefore, the automatic monitoring and early warning system and method for mining geological disasters provided by the embodiments of the present invention can improve the accuracy and comprehensiveness of mining geological disaster monitoring and early warning.

[0132] Reference Figure 2 FIG. 1 is a flow chart of an automatic monitoring and early warning method for mining geological disasters provided by an embodiment of the present invention. In this embodiment, the automatic monitoring and early warning method for mining geological disasters includes:

[0133] Acquire a mining area to be monitored, collect point cloud data of the mining area, and analyze the topographic conditions of the mining area according to the point cloud data;

[0134] Based on the terrain conditions, identifying the geological disaster area in the mining area, analyzing the mining geological disaster type in the geological disaster area, and extracting the disaster type characteristics corresponding to the mining geological disaster type;

[0135] In combination with the mine geological disaster type and the characteristics of the disaster type, the influencing factors and formation mechanism of the geological disaster area are identified, and according to the formation mechanism and the influencing factors, the mine area is monitored in real time to obtain real-time monitoring data;

[0136] According to the real-time monitoring data, the mining subsidence area and ground fissures in the mining area are identified; based on the mining subsidence area, a ground subsidence monitoring mode of the mining area is set; and according to the ground fissures, an intelligent ground fissure identification system of the mining area is set;

[0137] Based on the ground subsidence monitoring mode and the ground fissure intelligent identification system, the surface change law of the geological disaster area is analyzed, the key features of the surface change law are identified, and according to the key features, a geological disaster early warning mechanism is set up in the mining area;

[0138] In combination with the ground subsidence monitoring mode, the ground fissure intelligent identification system and the geological disaster early warning mechanism, the mining area is automatically monitored to obtain monitoring results.

[0139] In the several embodiments provided by the present invention, it should be understood that the provided system and method can be implemented in other ways. For example, the system embodiment described above is only illustrative, for example, the division of the modules is only a logical function division, and there may be other division methods in actual implementation.

[0140] In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0141] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. An automatic monitoring and early warning system for mining geological disasters, characterized in that: The automatic monitoring and early warning system for mining geological disasters includes: a data acquisition module, a feature extraction module, a regional monitoring module, a geological disaster identification module, a geological disaster early warning module, and a result output module; The data acquisition module is used to acquire the mine area to be monitored, collect point cloud data of the mine area, and analyze the topographic conditions of the mine area according to the point cloud data; The feature extraction module is used to identify the geological disaster area in the mining area based on the terrain conditions, analyze the mining geological disaster type in the geological disaster area, and extract the disaster type characteristics corresponding to the mining geological disaster type; The regional monitoring module is used to identify the influencing factors and formation mechanism of the geological disaster area in combination with the mining geological disaster type and the characteristics of the disaster type, and to perform real-time monitoring of the mining area according to the formation mechanism and the influencing factors to obtain real-time monitoring data; The geological disaster identification module is used to identify the mining subsidence area and ground fissures in the mining area according to the real-time monitoring data, set the ground subsidence monitoring mode of the mining area based on the mining subsidence area, and set the ground fissure intelligent identification system of the mining area according to the ground fissures; The geological disaster early warning module is used to analyze the surface change law of the geological disaster area based on the ground subsidence monitoring mode and the ground fissure intelligent identification system, identify the key features of the surface change law, and set the geological disaster early warning mechanism of the mining area according to the key features; The result output module is used to automatically monitor the mining area and obtain monitoring results by combining the ground subsidence monitoring mode, the ground fissure intelligent identification system and the geological disaster early warning mechanism.

2. The automatic monitoring and early warning system for mining geological disasters according to claim 1, characterized in that: Analyzing the topographic conditions of the mining area according to the point cloud data includes: Classifying the point cloud data to obtain classified point cloud data; Based on the classified point cloud data, identifying topographic features of the mining area; Constructing a three-dimensional terrain model of the mining area according to the terrain features; Analyzing the terrain stability and terrain erosion risk of the mining area based on the three-dimensional terrain model; The terrain conditions of the mining area are analyzed in combination with the terrain stability and the terrain erosion risk.

3. The automatic monitoring and early warning system for mining geological disasters according to claim 1, characterized in that: The step of identifying the geological disaster area in the mining area based on the terrain conditions includes: Based on the terrain conditions, extracting geological features of the mining area; Locating risk points in the mining area according to the geological features; Conduct disaster trend analysis on the risk points to obtain geological disaster trends; Identifying geological disaster points in the mining area, and analyzing the geological disaster risks in the mining area based on the geological disaster points; Based on the geological disaster trend and the geological disaster risk, the geological disaster area in the mining area is identified.

4. The automatic monitoring and early warning system for mining geological disasters according to claim 3 is characterized in that: The step of analyzing the geological disaster risk in the mining area based on the geological disaster point includes: Identify the geographical location and hazard characteristics of the geological hazard site; Calculating the probability of disaster occurrence at the geological disaster point according to the geographical location and the disaster characteristics; Based on the probability of occurrence of the disaster, identifying the potential impact of the geological disaster point on the mining area; Analyze the exposure and vulnerability of the mine area in light of the potential impacts; Based on the exposure level and the vulnerability, the geological disaster risk of the mining area is analyzed.

5. The automatic monitoring and early warning system for mining geological disasters according to claim 1, characterized in that: The analysis of the types of mining geological disasters in the geological disaster area includes: Dispatch the mine exploration data of the geological disaster area; Based on the mine exploration data, analyzing the distribution characteristics of the geological disaster area and identifying the geological and topographical characteristics of the geological disaster area; Collecting historical disaster data of the geological disaster area, and calculating the disaster frequency of the geological disaster area based on the historical disaster data; Based on the disaster frequency, the distribution characteristics and the geological and topographical characteristics, the types of mining geological disasters in the geological disaster area are analyzed.

6. The automatic monitoring and early warning system for mining geological disasters according to claim 1, characterized in that: The identifying the influencing factors and formation mechanism of the geological disaster area by combining the mining geological disaster type and the disaster type characteristics includes: Identify the mining situation in the geological disaster area according to the type of mining geological disaster and the characteristics of the disaster type; Based on the mining situation, locate the mined-out area in the geological disaster area; According to the mined-out area, identifying the influencing factors of the geological disaster area; Based on the influencing factors, analyzing the properties of the surface soil in the goaf area; According to the properties of the surface soil, the formation mechanism of the geological disaster zone is identified.

7. The automatic monitoring and early warning system for mining geological disasters according to claim 1, characterized in that: The method of setting a ground subsidence monitoring mode in the mining area based on the mining subsidence area includes: Based on the mining subsidence area, identifying the change of groundwater level in the mining area; Analyzing the degree of surface subsidence in the mining area according to the change of the groundwater level; Based on the degree of surface subsidence, identifying the stratum stress in the mining area; Combining the surface subsidence degree and the stratum stress, identifying the ground subsidence state of the mining area; According to the ground subsidence status, a ground subsidence monitoring mode of the mining area is set.

8. The automatic monitoring and early warning system for mining geological disasters according to claim 1, characterized in that: The analyzing the surface change law of the geological disaster area based on the ground subsidence monitoring mode and the ground fissure intelligent identification system includes: Based on the ground subsidence monitoring mode and the ground fissure intelligent identification system, collecting surface subsidence data and ground fissure data of the geological disaster area; Analyzing the surface subsidence law of the geological disaster area according to the surface subsidence data; Based on the ground fissure data, identifying the development trend of the ground fissures in the geological disaster area; Combined with the surface subsidence law and the development trend of the ground fissures, the surface change law of the geological disaster area is analyzed.

9. The automatic monitoring and early warning system for mining geological disasters according to claim 1, characterized in that: The geological disaster early warning mechanism of the mining area is set according to the key characteristics, including: Based on the key features, defining geological hazard elements of the mining area; Setting risk assessment indicators for the geological hazard elements; Based on the risk assessment index, calculating the weight factor of the geological hazard element; Calculating the risk value of the geological hazard element based on the weight factor and the risk assessment index; Defining the risk level of the risk value, and setting the risk judgment standard of the geological hazard element according to the risk level; Identify the classification standard of the risk judgment standard, and set the danger notification method of the geological hazard element based on the classification standard; In combination with the risk level and the danger notification method, a geological disaster early warning mechanism for the mining area is set up.

10. A method for automatic monitoring and early warning of mining geological disasters, characterized in that: The method comprises: Acquire a mining area to be monitored, collect point cloud data of the mining area, and analyze the topographic conditions of the mining area according to the point cloud data; Based on the terrain conditions, identifying the geological disaster area in the mining area, analyzing the mining geological disaster type in the geological disaster area, and extracting the disaster type characteristics corresponding to the mining geological disaster type; In combination with the mine geological disaster type and the characteristics of the disaster type, the influencing factors and formation mechanism of the geological disaster area are identified, and according to the formation mechanism and the influencing factors, the mine area is monitored in real time to obtain real-time monitoring data; According to the real-time monitoring data, the mining subsidence area and ground fissures in the mining area are identified; based on the mining subsidence area, a ground subsidence monitoring mode of the mining area is set; and according to the ground fissures, an intelligent ground fissure identification system of the mining area is set; Based on the ground subsidence monitoring mode and the ground fissure intelligent identification system, the surface change law of the geological disaster area is analyzed, the key features of the surface change law are identified, and according to the key features, a geological disaster early warning mechanism is set up in the mining area; In combination with the ground subsidence monitoring mode, the ground fissure intelligent identification system and the geological disaster early warning mechanism, the mining area is automatically monitored to obtain monitoring results.

Images