Coal mine geological risk early warning method, device and system based on multi-source fusion technology

Abstract

The invention discloses a coal mine geological risk early warning method, device and system based on a multi-source fusion technology, and the method comprises the steps: obtaining basic geological data obtained through a geophysical exploration technology, and constructing an initial geological model based on the basic geological data; real-time geological data obtained along with detection in the mining process and real-time sensing data collected by the sensors corresponding to all the areas are obtained; based on the real-time geological data and the real-time sensing data, dynamically updating the initial geological model to obtain a dynamic geological model; and obtaining a coal mine geological risk assessment value based on the geological type corresponding to the dynamic geological model and the real-time sensing data, and carrying out coal mine geological risk early warning according to the coal mine geological risk assessment value, so that the accuracy and robustness of dynamic geological model fusion can be improved by utilizing a multi-source data fusion technology. And reliable risk early warning is carried out according to the accurate dynamic geologic model.

Description

Technical Field

[0001] The present invention generally relates to the technical field of coal mine geological risk early warning, and in particular to a coal mine geological risk early warning method, device and system based on multi-source fusion technology. Background Art

[0002] Geological analysis is of great significance to oil and gas exploration and development, as well as coal mining, such as detailed interpretation of geological lithology, reservoir parameter prediction, identification of hydrocarbon content and wellbore trajectory design. Lithology change is the change of lithology in the stratum. Lithology change is common in geological phenomena caused by geological tectonic activities such as faults, folds, and magma intrusion. Lithology change leads to the inhomogeneity and discontinuity of the stratum, which has an important impact on engineering construction.

[0003] In related technologies, point 3D seismic methods are usually used to obtain seismic data after each sampling to analyze the geological type of the corresponding area, so that the geological information obtained by construction personnel is the information collected before mining, and it is impossible to provide sufficiently accurate data for the location of the rock type change area encountered during the mining process, which leads to the danger caused by unknown rock type changes during the mining process. Therefore, how to provide a geological analysis method that uses data analysis technology to achieve forward-looking, traceable, and longitudinally comparable geological analysis through improved algorithms, achieve more accurate dynamic geological analysis and simulation, and then conduct risk warning based on dynamic geological changes has become an urgent problem to be solved. Summary of the invention

[0004] In view of the above-mentioned defects or deficiencies in the prior art, it is desired to provide a coal mine geological risk warning method, device and system based on multi-source fusion technology, which can utilize multi-source data fusion technology to improve the accuracy and robustness of dynamic geological model fusion, and provide reliable risk warning based on accurate dynamic geological models.

[0005] In a first aspect, the embodiment of the present application provides a coal mine geological risk early warning method based on multi-source fusion technology, including:

[0006] Acquire basic geological data obtained by using geophysical exploration technology, and construct an initial geological model based on the basic geological data;

[0007] Acquire real-time geological data obtained during the mining process and real-time sensor data collected by sensors corresponding to each area;

[0008] Based on the real-time geological data and the real-time sensor data, dynamically updating the initial geological model to obtain a dynamic geological model;

[0009] A coal mine geological risk assessment value is obtained based on the geological type corresponding to the dynamic geological model and the real-time sensor data, and a coal mine geological risk warning is performed according to the coal mine geological risk assessment value.

[0010] In some embodiments, the obtaining of basic geological data obtained by using geophysical exploration technology and constructing an initial geological model based on the basic geological data includes:

[0011] Constructing a minimum data unit, wherein the minimum data unit includes three-dimensional spatial information, time information and five-dimensional information of geological body attributes;

[0012] Based on the basic geological data and the minimum data unit, an initial minimum data unit is determined, and the time information corresponding to the initial minimum data unit is the initial time;

[0013] The initial geological model is constructed based on the initial minimum data unit.

[0014] In some embodiments, dynamically updating the initial geological model based on the real-time geological data and the real-time sensor data to obtain a dynamic geological model includes:

[0015] Determine a dynamic minimum data unit based on the real-time geological data, the real-time sensor data and the minimum data unit, wherein the time information corresponding to the dynamic minimum data unit is the acquisition time of the real-time data;

[0016] Based on the dynamic minimum data unit, the dynamic geological model corresponding to time is generated.

[0017] In some embodiments, the determining of the dynamic minimum data unit based on the real-time geological data, the real-time sensor data and the minimum data unit includes:

[0018] Based on the real-time geological data, determining a real-time minimum data unit;

[0019] The real-time minimum data unit is geologically corrected using the real-time sensing data to determine the dynamic minimum data unit.

[0020] In some embodiments, the geological body attribute information is the seismic wave impedance value corresponding to the geology to which the minimum data unit belongs; the seismic wave impedance value is obtained by data inversion conversion.

[0021] In some embodiments, the obtaining of a coal mine geological risk assessment value based on the geological type corresponding to the dynamic geological model and the real-time sensor data, and performing a coal mine geological risk warning according to the coal mine geological risk assessment value, includes:

[0022] Based on the dynamic minimum data unit, determining a risk weight corresponding to at least one of the real-time sensor data for coal mine geological risk early warning;

[0023] According to the real-time sensor data and the risk weight, the coal mine geological risk assessment value corresponding to the dynamic geological model is determined, and a coal mine geological risk warning is performed according to the coal mine geological risk assessment value.

[0024] In a second aspect, the embodiment of the present application provides a coal mine geological risk early warning device based on multi-source fusion technology, including:

[0025] A first acquisition module is used to acquire basic geological data obtained by using geophysical exploration technology, and to construct an initial geological model based on the basic geological data;

[0026] The second acquisition module is used to acquire real-time geological data obtained during the mining process and real-time sensor data collected by sensors corresponding to each area;

[0027] An updating module, used for dynamically updating the initial geological model based on the real-time geological data and the real-time sensor data to obtain a dynamic geological model;

[0028] The early warning module is used to obtain a coal mine geological risk assessment value based on the geological type corresponding to the dynamic geological model and the real-time sensor data, and to issue a coal mine geological risk early warning according to the coal mine geological risk assessment value.

[0029] In a third aspect, an embodiment of the present application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method described in the embodiment of the present application when executing the program.

[0030] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method described in the embodiment of the present application.

[0031] In a fifth aspect, an embodiment of the present application provides a computer program product, including a computer program, characterized in that when the computer program is executed by a processor, it implements the method described in the embodiment of the present application.

[0032] The coal mine geological risk early warning method based on multi-source fusion technology provided in the embodiment of the present application can fully consider the correlation between basic geological data, real-time geological data and real-time sensor data and the dynamic changes of real-time geological data and real-time sensor data, build a dynamic geological model, effectively improve the real-time and accuracy of the dynamic geological model, so that the dynamic geological model can be highly consistent with the actual geological conditions of the mining area, and provide reliable data support for mining implementation. At the same time, the risk early warning strategy can be adjusted in time according to the changes in the geological environment, thereby improving the reliability of risk early warning and reducing potential safety hazards.

[0033] Additional aspects and advantages of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Other features, objects and advantages of the present application will become more apparent by reading the detailed description of non-limiting embodiments made with reference to the following drawings:

[0035] Figure 1 A schematic diagram of a process of a coal mine geological risk early warning method based on multi-source fusion technology provided in an embodiment of the present application is shown;

[0036] Figure 2 A schematic diagram of a process of a coal mine geological risk early warning method based on multi-source fusion technology provided by another embodiment of the present application is shown;

[0037] Figure 3 A schematic diagram of the structure of a coal mine geological risk early warning device based on multi-source fusion technology provided by an embodiment of the present application is shown;

[0038] Figure 4 A schematic diagram of the structure of a computer system of an electronic device or server suitable for implementing an embodiment of the present application is shown. DETAILED DESCRIPTION

[0039] The present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It is to be understood that the specific embodiments described herein are only used to explain the relevant invention, rather than to limit the invention. It is also necessary to explain that, for ease of description, only the parts related to the invention are shown in the accompanying drawings.

[0040] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0041] In order to further illustrate the technical solution provided by the embodiment of the present application, this is described in detail below in conjunction with the accompanying drawings and specific implementation methods. Although the embodiment of the present application provides the method operation instruction steps shown in the following embodiments or drawings, more or less operation instruction steps may be included in the method based on routine or no creative labor. In the steps where there is no necessary causal relationship logically, the execution order of these steps is not limited to the execution order provided by the embodiment of the present application. The method may be executed in the order of the method shown in the embodiment or drawings or in parallel during the actual processing process or when the device is executed.

[0042] Please refer to Figure 1 , Figure 1 FIG. 1 is a flow chart of a coal mine geological risk early warning method based on multi-source fusion technology provided by an embodiment of the present application. Figure 1 As shown, the method includes:

[0043] Step 101: obtain basic geological data obtained by using geophysical exploration technology, and construct an initial geological model based on the basic geological data.

[0044] It should be noted that geophysical exploration technology is a technical means of finding ore bodies, delineating coal-bearing areas, inferring geological structures and solving other geological problems by using the anomalies of rock and coal layers with different physical properties (such as density, magnetism, electrical properties, elastic wave propagation speed and radioactivity, etc.) in geophysical fields. At present, the physical means used in geological exploration mainly include gravity exploration, magnetic exploration, electrical exploration, and three-dimensional seismic exploration. Among them, three-dimensional seismic exploration is a technology that detects the buried depth and shape of the interface of underground rock layers based on the propagation route and time of artificially excited seismic waves in underground rock layers, and recognizes the underground geological structure and then finds oil and gas reservoirs.

[0045] That is to say, before the implementation of mining (including but not limited to drilling, excavation and collection processes), geophysical exploration technology, such as 3D seismic exploration, is used to obtain basic geological data of the target area, and then the initial geological model of the target area is constructed using the basic geological data. In other words, the initial geological model is an initial geological state model of the target area constructed based on the basic geological data obtained by geophysical exploration technology before mining.

[0046] In a feasible embodiment, a minimum data unit can be constructed first, wherein the minimum data unit is the smallest unit in the geological model containing three-dimensional spatial information, time information and five-bit information of geological body attributes. Optionally, the minimum data unit can be recorded as (x, y, z, t, a), (x, y, z) is the three-dimensional spatial coordinate corresponding to the minimum data unit, t is the time coordinate, for static data, the time coordinate can be assigned a constant value, for dynamic data, the time coordinate can be assigned a real value, and a is the geological body attribute information.

[0047] Optionally, the geological body attribute information may be a seismic wave impedance value corresponding to the geology to which the minimum data unit belongs, and the seismic wave impedance value is obtained by inversion conversion of three-dimensional seismic exploration data. It should also be noted that before performing three-dimensional seismic exploration data inversion, the collected three-dimensional seismic exploration data needs to be preprocessed, including but not limited to denoising, standardization, data synchronization, and missing data processing.

[0048] Among them, denoising can be achieved by using median filters, low-pass filters or methods based on wavelet transform to remove high-frequency noise and outliers; standardization is to make data from different sources numerically comparable, including but not limited to scaling the data to between 0 and 1, or making it have zero mean and unit variance; data synchronization is to align data from different sources in time; missing data processing is to fill in missing data caused by acquisition equipment failure or other reasons.

[0049] Then, based on the basic geological data and the minimum data unit, the initial minimum data unit is determined, and the time corresponding to the initial minimum data unit is the initial time. In other words, the 3D seismic exploration time before mining is implemented is used as the initial time, and the basic geological data is matched with the minimum data unit to obtain the basic geological data corresponding to each minimum data unit, and use it as the initial minimum data unit.

[0050] Furthermore, it also includes obtaining a lithology pattern library stored in a simulation database, assigning lithology information and patterns to each initial minimum data unit according to the geological body attributes corresponding to each initial minimum data unit, and obtaining an initial geological model.

[0051] Therefore, the embodiment of the present application can construct a real-life geological model of lithology based on basic geological data and minimum data units, provide intuitive visual information support for geological mining, and provide visualization effects for drilling, excavation and mining process decisions.

[0052] Step 102, acquiring real-time geological data obtained during the mining process and real-time sensor data collected by sensors corresponding to each area.

[0053] It should be noted that the mining process includes but is not limited to drilling, excavation and mining, and the mining process is accompanied by detection, but is not limited to detection while drilling, detection while excavation and detection while mining. Real-time geological data includes but is not limited to actual rock layer distribution, ore body thickness and fracture development.

[0054] Sensors can be set up as needed in the mined areas as the mining process progresses, including but not limited to temperature sensors, humidity sensors, pressure sensors, vibration sensors, and gas concentration sensors, etc., to collect data such as temperature, humidity, pressure, vibration, and gas concentration corresponding to each area.

[0055] It should be understood that data preprocessing is also required for real-time geological data and real-time sensor data, and the method of data preprocessing will not be described in detail in this application.

[0056] Step 103: dynamically update the initial geological model based on the real-time geological data and the real-time sensor data to obtain a dynamic geological model.

[0057] It should be understood that the dynamic geological model is obtained by updating the initial geological model in real time using real-time geological data and real-time sensor data.

[0058] That is to say, based on the real-time geological data, real-time sensor data and minimum data unit, the dynamic minimum data unit is determined. The time information corresponding to the dynamic minimum data unit is the acquisition time of the real-time data. Therefore, multiple dynamic minimum data units corresponding to each time point can be determined according to the time, and then the simulation database is used for simulation to obtain the dynamic geological model corresponding to the time.

[0059] Specifically, when determining the dynamic minimum data unit, the real-time geological data can be used to determine the real-time minimum data unit first, that is, the accompanying detection data can be used to determine the actual minimum data unit of the mined area and the predicted minimum data unit of the unmined area. It should be understood that since the basic geological data is usually obtained by using the propagation information of the planned artificially excited seismic waves in the underground rock formation, it is easy to have missing problems, and it is usually filled by methods such as interpolation algorithms or machine learning, so that there is a factual difference between the basic geological data and the actual geological data. Therefore, after obtaining the real-time geological data of the accompanying detection, the real-time minimum data unit can be determined by the real-time geological data first, that is, the initial geological model is preliminarily updated based on the accompanying detection data to obtain the real-time minimum data unit that matches the information of the mined area. At this time, the real-time minimum data unit can be directly simulated to obtain a real-time geological model that matches the information of the mined area, or it can continue to be corrected using real-time sensor data.

[0060] That is to say, the real-time minimum data unit determined based on the real-time geological data actually includes the real-time minimum data unit determined in the mined area and the real-time minimum data unit predicted in the unmined area. For the unmined area, its geological body attribute value is the data inferred based on the comprehensive basic geological data and real-time geological data, which may deviate from the actual rock properties. Therefore, the embodiment of the present application proposes to use real-time sensor data for further correction.

[0061] Specifically, as the mining process gradually advances, the lithology information data of the unmined area will be expressed through real-time sensor data, that is, there is a correlation between the lithology information data of the unmined area and the mining progress and the time series of real-time sensor data. For example, in the coal mining process, as the drilling and excavation process advances, the distance between the mining personnel and the coal mine geological layer will gradually decrease. In this process, the real-time sensor data will also be expressed. Therefore, this application uses the time series changes of real-time sensor data to perform geological corrections on the real-time minimum data unit.

[0062] Specifically, the following formula can be used:

[0063]

[0064] in, Predict geological body attribute values ​​for unmined areas, is the first initial prediction value of the unmined area based on real-time geological data, x i is the first initial prediction value of the unmined area based on the real-time geological data at the i-th time point, L is the length of the backtracking window of the real-time geological data, is the second initial prediction value obtained by predicting the unmined area based on real-time sensor data, is the second initial prediction value obtained by predicting the unmined area based on the real-time sensor data of the j-th sensor at the i-th time point, j is the type of sensor, and L' is the length of the backtracking window of the real-time sensor data. The backtracking window length L of the real-time geological data and the backtracking window length L' of the real-time sensor data can be the same or different.

[0065] It should be understood that the predicted value based on the real-time geological data and the real-time sensor data is obtained by predicting using the basic geological data and the real-time geological data or using the basic geological data, the real-time geological data and the real-time sensor data.

[0066] Optionally, the initial prediction value can utilize known prediction methods, including but not limited to weighted average algorithm, Kalman filter algorithm, Bayesian reasoning, convolutional neural network CNN, long short-term memory network LSTM, recurrent neural network RNN ​​and Transformer network, etc.

[0067] Therefore, the embodiments of the present application can correct the dynamic geological model by capturing the dynamic changes of real-time geological data and real-time sensor data, as well as the relationship between real-time geological data and real-time sensor data, thereby effectively improving the real-time and accuracy of the dynamic geological model, thereby enabling the dynamic geological model to be highly consistent with the actual geological conditions of the mining area, and providing reliable data support for mining implementation.

[0068] Step 104, obtaining a coal mine geological risk assessment value based on the geological type corresponding to the dynamic geological model and the real-time sensor data, and performing a coal mine geological risk warning according to the coal mine geological risk assessment value.

[0069] That is to say, for different lithology types, the geological risks that need to be paid attention to during the mining process are also different. For example, clay soil areas may face more risks of ground subsidence, and mineral deposit maps may face more explosion risks. Therefore, it is necessary to adjust the risk warning strategy in time according to the changes in the geological environment, so as to improve the reliability of risk warning, reduce potential safety hazards, and provide reliable decision-making support for the field of mineral resource development.

[0070] In a feasible embodiment, the risk weight corresponding to at least one real-time sensor data used for coal mine geological risk warning can be determined based on the dynamic minimum data unit of the dynamic geological model, and the coal mine geological risk assessment value corresponding to the dynamic geological model can be determined according to the real-time sensor data and the risk weight, and a coal mine geological risk warning can be performed according to the coal mine geological risk assessment value.

[0071] That is to say, in the embodiment of the present application, fixed warning lines for coal mine geological risk warnings can be set, such as thresholds for first-level risk warnings and second-level risk warnings, and then, the risk weights of real-time sensor data corresponding to different geological body attribute values ​​can be adjusted to achieve the purpose of changing risk warnings with changes in geological types.

[0072] Specifically, the risk weight corresponding to the current geological type ratio can be determined according to the proportion of geological body attributes in different dynamic minimum data units within the assessment area. For example, the greater the geological type ratio, the higher the risk weight corresponding to the corresponding real-time sensor data. Then, the weight of the real-time sensor data and the risk weight and the coal mine geological risk assessment value corresponding to the risk assessment area are obtained, and the coal mine geological risk assessment value is compared with the risk warning threshold, and then a risk warning is issued according to the risk level corresponding to the comparison result.

[0073] In a specific embodiment, Figure 2As shown, basic geological data obtained by geophysical exploration technology, real-time geological data obtained by detection during the mining process, and real-time sensor data collected by sensors corresponding to each area are obtained respectively. Then the collected data are preprocessed and standardized in turn. An initial geological model is constructed based on the basic geological data, and the initial geological model is updated based on the basic geological data, real-time geological data, and real-time sensor data to obtain a dynamic geological model. The lithology pattern library stored in the simulation database is obtained, and the model is simulated to obtain a simulated geological model. The geological risk warning threshold of the coal mine is obtained, and risk warning judgment is made based on the dynamic geological model to perform risk warning.

[0074] In summary, the coal mine geological risk early warning method based on multi-source fusion technology provided by the embodiment of the present application can fully consider the correlation between basic geological data, real-time geological data and real-time sensor data and the dynamic changes of real-time geological data and real-time sensor data, build a dynamic geological model, and effectively improve the real-time and accuracy of the dynamic geological model, so that the dynamic geological model can be highly consistent with the actual geological conditions of the mining area, providing reliable data support for mining implementation. At the same time, the risk early warning strategy can be adjusted in time according to changes in the geological environment, thereby improving the reliability of risk early warning and reducing potential safety hazards.

[0075] It should be noted that although the operations of the method of the present invention are described in a particular order in the drawings, this does not require or imply that the operations must be performed in this particular order or that all illustrated operations must be performed to achieve desired results.

[0076] Figure 3 A schematic structural diagram of a coal mine geological risk early warning device based on multi-source fusion technology provided in one embodiment of the present application is shown.

[0077] like Figure 3 As shown, the coal mine geological risk early warning device 10 based on multi-source fusion technology includes:

[0078] The first acquisition module 11 is used to acquire basic geological data obtained by using geophysical exploration technology, and to construct an initial geological model based on the basic geological data;

[0079] The second acquisition module 12 is used to acquire real-time geological data obtained during the mining process and real-time sensor data collected by sensors corresponding to each area;

[0080] An updating module 13, configured to dynamically update the initial geological model based on the real-time geological data and the real-time sensor data to obtain a dynamic geological model;

[0081] The early warning module 14 is used to obtain a coal mine geological risk assessment value based on the geological type corresponding to the dynamic geological model and the real-time sensor data, and to issue a coal mine geological risk early warning according to the coal mine geological risk assessment value.

[0082] In some embodiments, the first acquisition module 11 is further used to:

[0083] Constructing a minimum data unit, wherein the minimum data unit includes three-dimensional spatial information, time information and five-dimensional information of geological body attributes;

[0084] Based on the basic geological data and the minimum data unit, an initial minimum data unit is determined, and the time information corresponding to the initial minimum data unit is the initial time;

[0085] The initial geological model is constructed based on the initial minimum data unit.

[0086] In some embodiments, the update module 13 is further configured to:

[0087] Determine a dynamic minimum data unit based on the real-time geological data, the real-time sensor data and the minimum data unit, wherein the time information corresponding to the dynamic minimum data unit is the acquisition time of the real-time data;

[0088] Based on the dynamic minimum data unit, the dynamic geological model corresponding to time is generated.

[0089] In some embodiments, the update module 13 is further configured to:

[0090] The determining of the dynamic minimum data unit based on the real-time geological data, the real-time sensor data and the minimum data unit comprises:

[0091] Based on the real-time geological data, determining a real-time minimum data unit;

[0092] The real-time minimum data unit is geologically corrected using the real-time sensing data to determine the dynamic minimum data unit.

[0093] In some embodiments, the geological body attribute information is the seismic wave impedance value corresponding to the geology to which the minimum data unit belongs; the seismic wave impedance value is obtained by data inversion conversion.

[0094] In some embodiments, the obtaining of a coal mine geological risk assessment value based on the geological type corresponding to the dynamic geological model and the real-time sensor data, and performing a coal mine geological risk warning according to the coal mine geological risk assessment value, includes:

[0095] Based on the dynamic minimum data unit, determining a risk weight corresponding to at least one of the real-time sensor data for coal mine geological risk early warning;

[0096] According to the real-time sensor data and the risk weight, the coal mine geological risk assessment value corresponding to the dynamic geological model is determined, and a coal mine geological risk warning is performed according to the coal mine geological risk assessment value.

[0097] It should be understood that the units or modules recorded in the coal mine geological risk early warning device 10 based on multi-source fusion technology are the same as those in the reference Figure 1 The various steps in the described method correspond to each other. Therefore, the operations and features described above for the method are also applicable to the coal mine geological risk early warning device 10 based on multi-source fusion technology and the units contained therein, which will not be repeated here. The coal mine geological risk early warning device 10 based on multi-source fusion technology can be pre-implemented in a browser or other security application of an electronic device, or can be loaded into a browser or its security application of an electronic device by downloading or the like. The corresponding units in the coal mine geological risk early warning device 10 based on multi-source fusion technology can cooperate with the units in the electronic device to implement the solution of the embodiment of the present application.

[0098] For the several modules or units mentioned in the above detailed description, this division is not mandatory. In fact, according to the embodiments of the present disclosure, the features and functions of two or more modules or units described above can be embodied in one module or unit. On the contrary, the features and functions of one module or unit described above can be further divided into multiple modules or units to be embodied.

[0099] Reference below Figure 4 , Figure 4 A schematic diagram of the structure of a computer system of an electronic device or server suitable for implementing an embodiment of the present application is shown.

[0100] like Figure 4 As shown, the computer system includes a central processing unit (CPU) 401, which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM) 402 or the program loaded from the storage part 408 into the random access memory (RAM) 403. In the RAM 403, various programs and data required for the operation instructions of the system are also stored. The CPU 401, the ROM 402, and the RAM 403 are connected to each other through a bus 404. An input / output (I / O) interface 405 is also connected to the bus 404.

[0101] The following components are connected to the I / O interface 405: an input section 406 including a keyboard, a mouse, etc.; an output section 407 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage section 408 including a hard disk, etc.; and a communication section 409 including a network interface card such as a LAN card, a modem, etc. The communication section 409 performs communication processing via a network such as the Internet. A drive 410 is also connected to the I / O interface 405 as needed. A removable medium 411, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 410 as needed, so that a computer program read therefrom is installed into the storage section 408 as needed.

[0102] In particular, according to an embodiment of the present application, the above reference flow chart Figure 2 The described process can be implemented as a computer software program. For example, an embodiment of the present application includes a computer program product, which includes a computer program carried on a computer readable medium, and the computer program includes a program code for executing the method shown in the flow chart. In such an embodiment, the computer program includes a program code for executing the method shown in the flow chart. In such an embodiment, the computer program can be downloaded and installed from the network through the communication part 409, and / or installed from the removable medium 411. When the computer program is executed by the central processing unit (CPU) 401, the above-mentioned functions defined in the system of the present application are executed.

[0103] It should be noted that the computer-readable medium shown in the present application may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, device or device. In the present application, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, which carries a computer-readable program code. This propagated data signal may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium such as a computer-readable storage medium that can send, propagate or transmit a program for use by or in conjunction with an instruction execution system, device or device. The program code contained on the computer-readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, optical cable, RF, etc., or any suitable combination of the above.

[0104] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, functions and operating instructions of the system, method and computer program product according to various embodiments of the present application. In this regard, each box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the aforementioned module, program segment or a part of a code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some implementations as replacements, the functions marked in the box can also occur in a sequence different from that marked in the accompanying drawings. For example, the boxes represented by two connections can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flow chart, and the combination of the boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operating instruction, or can be implemented with a combination of dedicated hardware and computer instructions.

[0105] The units or modules involved in the embodiments described in the present application may be implemented by software or by hardware. The described units or modules may also be arranged in a processor, for example, may be described as: a processor includes a first acquisition module, a second acquisition module, an update module and an early warning module. Among them, the names of these units or modules do not constitute a limitation on the units or modules themselves under certain circumstances. For example, the first acquisition module may also be described as "obtaining basic geological data obtained using geophysical exploration technology, and constructing an initial geological model based on the basic geological data".

[0106] As another aspect, the present application further provides a computer-readable storage medium, which may be included in the electronic device described in the above embodiment, or may exist independently without being assembled into the electronic device. The above computer-readable storage medium stores one or more programs, and when the above programs are used by one or more processors to execute the coal mine geological risk early warning method based on multi-source fusion technology described in the present application.

[0107] The above description is only a preferred embodiment of the present application and an explanation of the technical principles used. Those skilled in the art should understand that the scope of disclosure involved in the present application is not limited to the technical solution formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the aforementioned disclosed concept. For example, the above features are replaced with the technical features with similar functions disclosed in this application (but not limited to) by each other to form a technical solution.

Claims

1. A coal mine geological risk early warning method based on multi-source fusion technology, characterized in that: include: Acquire basic geological data obtained by using geophysical exploration technology, and construct an initial geological model based on the basic geological data; Acquire real-time geological data obtained during the mining process and real-time sensor data collected by sensors corresponding to each area; Based on the real-time geological data and the real-time sensor data, dynamically updating the initial geological model to obtain a dynamic geological model; A coal mine geological risk assessment value is obtained based on the geological type corresponding to the dynamic geological model and the real-time sensor data, and a coal mine geological risk warning is performed according to the coal mine geological risk assessment value.

2. The coal mine geological risk early warning method based on multi-source fusion technology according to claim 1 is characterized in that: The step of obtaining basic geological data obtained by using geophysical exploration technology and constructing an initial geological model based on the basic geological data includes: Constructing a minimum data unit, wherein the minimum data unit includes three-dimensional spatial information, time information and five-dimensional information of geological body attributes; Based on the basic geological data and the minimum data unit, an initial minimum data unit is determined, and the time information corresponding to the initial minimum data unit is the initial time; The initial geological model is constructed based on the initial minimum data unit.

3. According to the coal mine geological risk early warning method based on multi-source fusion technology in claim 2, the initial geological model is dynamically updated based on the real-time geological data and the real-time sensor data to obtain a dynamic geological model, including: Based on the real-time geological data, the real-time sensor data and the minimum data unit, a dynamic minimum data unit is determined, wherein the time information corresponding to the dynamic minimum data unit is the acquisition time of the real-time data; Based on the dynamic minimum data unit, the dynamic geological model corresponding to time is generated.

4. The coal mine geological risk early warning method based on multi-source fusion technology according to claim 3 is characterized in that: The determining of the dynamic minimum data unit based on the real-time geological data, the real-time sensor data and the minimum data unit comprises: Based on the real-time geological data, determining a real-time minimum data unit; The real-time minimum data unit is geologically corrected using the real-time sensing data to determine the dynamic minimum data unit.

5. The coal mine geological risk early warning method based on multi-source fusion technology according to claim 2 or 3 is characterized in that: The geological body attribute is the seismic wave impedance value corresponding to the geology to which the minimum data unit belongs; the seismic wave impedance value is obtained through data inversion conversion.

6. The coal mine geological risk early warning method based on multi-source fusion technology according to claim 3 or 4 is characterized in that: The obtaining of a coal mine geological risk assessment value based on the geological type corresponding to the dynamic geological model and the real-time sensor data, and performing a coal mine geological risk warning according to the coal mine geological risk assessment value, includes: Based on the dynamic minimum data unit, determining a risk weight corresponding to at least one of the real-time sensor data for coal mine geological risk early warning; According to the real-time sensor data and the risk weight, the coal mine geological risk assessment value corresponding to the dynamic geological model is determined, and a coal mine geological risk warning is performed according to the coal mine geological risk assessment value.

7. A coal mine geological risk early warning device based on multi-source fusion technology, characterized in that: include: A first acquisition module is used to acquire basic geological data obtained by using geophysical exploration technology, and to construct an initial geological model based on the basic geological data; The second acquisition module is used to acquire real-time geological data obtained during the mining process and real-time sensor data collected by sensors corresponding to each area; An updating module, used for dynamically updating the initial geological model based on the real-time geological data and the real-time sensor data to obtain a dynamic geological model; The early warning module is used to obtain a coal mine geological risk assessment value based on the geological type corresponding to the dynamic geological model and the real-time sensor data, and to issue a coal mine geological risk early warning according to the coal mine geological risk assessment value.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, it implements the coal mine geological risk early warning method based on multi-source fusion technology as described in any one of claims 1-6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the coal mine geological risk early warning method based on multi-source fusion technology as described in any one of claims 1-6 is implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the coal mine geological risk early warning method based on multi-source fusion technology described in any one of claims 1 to 6 is implemented.

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