Monitoring method and device for overlying strata on coal group, electronic equipment and storage medium

Abstract

The invention discloses a monitoring method and device for overlying strata on a coal group, electronic equipment and a storage medium. The method comprises the following steps: acquiring geological data of a coal group; monitoring overlying strata overlying the coal group to obtain target monitoring data; and based on the geological data and the target monitoring data, predicting stress characteristics and displacement characteristics of the overlying strata through the geological monitoring model to obtain a target monitoring result. According to the invention, the technical problems of low efficiency and high cost of monitoring the overlying strata on the coal group in the prior art are solved.

Description

Technical Field

[0001] The present invention relates to the field of geological monitoring and resource exploitation, and in particular to a monitoring method, device, electronic equipment and storage medium for overlying rock strata on a coal group. Background Art

[0002] In the process of coal group resource mining, the geological layers around the coal group will be damaged. At the same time, the changes in the geological layers will also affect the mining of coal group resources. Special attention should be paid to the overburden layer covering the coal group, and the geological conditions of the overburden layer over the coal group should be monitored in time to avoid safety accidents in the process of coal group resource mining.

[0003] In the related technology, the overlying rock strata above the coal group are often monitored by equipping a large number of monitoring equipment. Affected by the environment and the mining process, the monitoring equipment is easily damaged and often needs to be repaired, which increases the monitoring cost and reduces the monitoring efficiency.

[0004] To address the above-mentioned problems, no effective solution has been proposed yet. Summary of the invention

[0005] The embodiments of the present invention provide a method, device, electronic device and storage medium for monitoring overburden strata above a coal group, so as to at least solve the technical problems of low efficiency and high cost in monitoring overburden strata above a coal group in the related art.

[0006] According to one aspect of an embodiment of the present invention, a monitoring method for overlying rock strata on a coal group is provided, comprising: acquiring geological data of the coal group; monitoring the overlying rock strata on the coal group to obtain target monitoring data; and predicting stress characteristics and displacement characteristics of the overlying rock strata through a geological monitoring model based on the geological data and the target monitoring data to obtain target monitoring results.

[0007] Optionally, the overburden layer overlying the coal group is monitored to obtain target monitoring data, including: monitoring the overburden layer through a data monitoring system to obtain initial monitoring data; and correcting the initial monitoring data through a data correction system to obtain target monitoring data.

[0008] Optionally, the data monitoring system includes: at least one pressure sensor and at least one displacement sensor; the overburden layer is monitored by the data monitoring system to obtain initial monitoring data, including: pressure monitoring of the overburden layer by the pressure sensor to obtain pressure data; displacement monitoring of the overburden layer by the displacement sensor to obtain displacement data; initial monitoring data is obtained based on the pressure data and the displacement data.

[0009] Optionally, the above method also includes: constructing a three-dimensional model of the overburden layer based on the geological data; and constructing a data monitoring system and a data correction system based on the three-dimensional model.

[0010] Optionally, a data monitoring system and a data correction system are constructed based on the three-dimensional model, including: determining the monitoring position and type of overburden layer based on the three-dimensional model; and constructing a data monitoring system and a data correction system based on the monitoring position and type.

[0011] Optionally, the above method also includes: adjusting the geological monitoring model based on the target monitoring data and the target monitoring results to obtain the target geological monitoring model.

[0012] Optionally, based on the target monitoring data and the target monitoring results, the geological monitoring model is adjusted to obtain the target geological monitoring model, including: determining the difference between the target monitoring results and the target monitoring data; and adjusting the geological monitoring model based on the difference to obtain the target geological monitoring model.

[0013] Optionally, the geological monitoring model is adjusted based on the difference to obtain a target geological monitoring model, including: in response to the difference being greater than a preset threshold, repeatedly adjusting the geological monitoring model to obtain an adjusted geological monitoring model, and predicting the stress characteristics and displacement characteristics of the overburden layer through the adjusted geological monitoring model until the difference is less than a preset threshold; in response to the difference being less than the preset threshold, determining the adjusted geological monitoring model as the target geological monitoring model.

[0014] According to another aspect of an embodiment of the present invention, a monitoring device for overlying rock strata on a coal group is provided, including: an acquisition module for acquiring geological data of the coal group; a monitoring module for monitoring the overlying rock strata on the coal group to obtain target monitoring data; and a prediction module for predicting the stress characteristics and displacement characteristics of the overlying rock strata through a geological monitoring model based on the geological data and the target monitoring data to obtain target monitoring results.

[0015] According to another aspect of an embodiment of the present invention, there is further provided an electronic device, comprising: a memory storing an executable program; and a processor for running the program, wherein the method in each embodiment of the present invention is executed when the program is running.

[0016] According to another aspect of an embodiment of the present invention, a computer-readable storage medium is provided. The computer-readable storage medium includes a stored executable program, wherein when the executable program is running, the device where the computer-readable storage medium is located is controlled to execute the methods in various embodiments of the present invention.

[0017] According to another aspect of an embodiment of the present invention, a computer program product is provided, including a computer program. When the computer program is executed by a processor, the method in each embodiment of the present invention is implemented.

[0018] According to another aspect of an embodiment of the present invention, a computer program product is provided, including a non-volatile computer-readable storage medium, wherein the non-volatile computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method in each embodiment of the present invention is implemented.

[0019] According to another aspect of the embodiments of the present invention, a computer program is provided. When the computer program is executed by a processor, the methods in the embodiments of the present invention are implemented.

[0020] In an embodiment of the present invention, geological data of a coal group is obtained; the overburden strata overlying the coal group are monitored to obtain target monitoring data; based on the geological data and the target monitoring data, the stress characteristics and displacement characteristics of the overburden strata are predicted through a geological monitoring model to obtain target monitoring results, so as to efficiently monitor the overburden strata overlying the coal group. It is easy to notice that the method of using a geological monitoring model to predict the stress characteristics and displacement characteristics of the overburden strata avoids manual surveys and reduces monitoring costs, and the geological monitoring model can predict the stress characteristics and displacement characteristics of the overburden strata based on the geological data and the target monitoring data, thereby improving the monitoring efficiency and achieving the purpose of dynamically monitoring the overburden strata over the coal group, thereby achieving the technical effect of improving the monitoring efficiency of the overburden strata over the coal group, and further solving the technical problems of low efficiency and high cost in monitoring the overburden strata over the coal group in related technologies. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0022] Figure 1 is a flow chart of a method for monitoring overburden strata on a coal group according to an embodiment of the present invention;

[0023] Figure 2 is a schematic diagram of a data monitoring system according to an embodiment of the present invention;

[0024] Figure 3 is a flow chart of an optional method for monitoring overburden strata on a coal group according to an embodiment of the present invention;

[0025] Figure 4 is a schematic diagram of a monitoring device for overlying rock formations on a coal group according to an embodiment of the present invention. DETAILED DESCRIPTION

[0026] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme 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 only 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 should fall within the scope of protection of the present invention.

[0027] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0028] According to an embodiment of the present invention, an embodiment of a method for monitoring overlying rock strata above a coal group is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0029] Figure 1 is a flow chart of a method for monitoring overlying rock formations on a coal group according to an embodiment of the present invention. Figure 1 As shown, the method comprises the following steps:

[0030] Step S102, obtaining geological data of the coal group.

[0031] The above-mentioned coal group can be a part of the coalfield to be mined. By utilizing geological structure and natural conditions, such as discontinuity of coalfield deposition or exploration period, the coalfield can be divided into multiple coal groups with different geological conditions and mining conditions, so as to monitor and operate the coal groups more accurately, thereby realizing surface operations on the coalfield. By dividing the coalfield into coal groups, it can not only meet the geological and mining needs of coalfield development, but also accurately and efficiently carry out geological monitoring and resource management.

[0032] The above geological data can be used to characterize the geological conditions of the coal formation. The geological data may include but are not limited to: density, hardness, porosity, Poisson's ratio, cohesion, overburden thickness, rock formation sequence, water content, formation dip, fault distribution data, fold morphology parameters, etc., which are not limited here and can be determined as needed. Through geological data, the geological structure of the coal formation can be reflected, thereby determining the position or geological structure of the overburden of the coal formation, so as to monitor the geological layers of the coal formation, especially the overburden layer overlying the coal formation.

[0033] In an optional embodiment, the geological data of the coal group can be obtained through field exploration. Optionally, the geological structure of the coal group can be obtained through mapping, and rock samples of the coal group can be collected through drilling sampling, and lithology analysis and physical and mechanical property tests can be performed on the rock samples to obtain geological data. The depth, thickness and structural characteristics of the geological layer of the coal group can also be obtained through geophysical exploration. In another optional embodiment, the geological data of the coal group can be obtained by model analysis. Optionally, the coal group can be three-dimensionally visualized by three-dimensional modeling to intuitively display the geological structure and coal seam distribution of the coal group, providing a basis for the mining design of the coal group and the prediction of the stress characteristics and displacement characteristics of the overburden. In another optional embodiment, the geological data of the current coal group can be obtained by analyzing historical geological data.

[0034] Step S104, monitoring the overlying rock layer on the coal group to obtain target monitoring data.

[0035] The above-mentioned overburden layer may refer to the geological layer covering the coal group. The overburden layer can protect the geological layer from external physical and chemical erosion, and the weight of the overburden layer will also exert pressure on the geological layer. During coal mining, the overburden layer on the coal group will sink due to the influence of gravity, causing the rock layer to collapse under the action of gravity, forming a goaf, which will affect the safety of coal mining. Therefore, it is necessary to monitor the stress characteristics and displacement characteristics of the overburden layer on the coal group to predict the degree of danger of collapse of the overburden layer after coal mining, so as to take measures in advance to avoid safety accidents during coal mining.

[0036] The above-mentioned monitoring may refer to the process of monitoring the stress characteristics and displacement characteristics of the overburden strata overlying the coal group. By monitoring the overburden strata, the stress characteristics and displacement characteristics of the overburden strata can be obtained, so as to timely identify whether there is deformation, destruction, large-scale roof collapse, rock movement, surface cracking or subsidence in the goaf area, etc., and take timely safeguard measures to ensure the safety of subsequent coal group mining operations. Based on the geological data of the coal group, the geological layers around the coal group can be analyzed to determine the location and geological structure of the overburden strata over the coal group, so as to monitor the stress characteristics and displacement characteristics of the overburden strata.

[0037] The above-mentioned target monitoring data can be used to characterize the stress characteristics and displacement characteristics of the overburden. The target monitoring data can be used to reflect the geological state of the overburden so that when the overburden is damaged, timely measures can be taken to ensure the safety of coal mining. Through the target monitoring data, the geological structure and rock characteristics of the overburden can be reflected, so as to ensure the smooth progress of mining by analyzing the geological structure and rock characteristics of the overburden. In addition, the target monitoring data can also be used to adjust the geological monitoring model so that the geological monitoring model can more accurately predict the stress characteristics and displacement characteristics of the overburden.

[0038] In an optional embodiment, the overburden layer overlying the coal group can be monitored by field exploration. Optionally, the overburden layer overlying the coal group can be monitored by surveying and mapping, or rock samples of the overburden layer can be collected by drilling sampling, and the rock samples can be subjected to lithological analysis and physical and mechanical property tests to obtain geological data. The depth, thickness and structural characteristics of the overburden layer can also be obtained by geophysical exploration. In another optional embodiment, the overburden layer overlying the coal group can be monitored by model analysis. Optionally, the overburden layer can be three-dimensionally visualized by three-dimensional modeling to intuitively display the geological structure of the overburden layer, providing a basis for predicting the stress characteristics and displacement characteristics of the overburden layer. Specifically, the location for monitoring the overburden layer can be determined by three-dimensional modeling, so that the overburden layer can be monitored at this location, thereby accurately obtaining the stress characteristics and displacement characteristics of the overburden layer.

[0039] Step S106, based on the geological data and the target monitoring data, the stress characteristics and displacement characteristics of the overburden strata are predicted by the geological monitoring model to obtain the target monitoring results.

[0040] The above-mentioned geological monitoring model can predict the stress characteristics and displacement characteristics of the overburden layer. Monitoring through the geological monitoring model does not require the deployment of monitoring equipment, which can reduce monitoring costs and improve monitoring efficiency. Optionally, the mechanical behavior of the overburden layer can be simulated by a neural network model or a Fast Lagrangian Analysis of Continua (FLAC) model to predict the stress characteristics and displacement characteristics of the overburden layer.

[0041] The above-mentioned stress characteristics can be used to characterize the stress state of the overburden. Stress characteristics may include, but are not limited to: stress magnitude, stress direction, stress state, and stress change. They are not limited here and the content of the stress characteristics can be determined as needed. The stress magnitude can be the pressure that the overburden is subjected to at different positions and depths. The stress direction can be vertical or horizontal pressure. Therefore, the stress characteristics can be determined by obtaining pressure data. The stability of the overburden structure can be monitored through stress characteristics, so as to detect possible signs of damage or destruction in advance, and take support and protection measures in time to ensure the normal mining of the coal group.

[0042] The above-mentioned displacement characteristics can be used to characterize the deformation state of the overburden. Displacement characteristics may include but are not limited to: displacement, horizontal displacement, vertical displacement, relative displacement, etc., which are not limited here and can be determined as needed. The horizontal displacement can be the amount of movement of the overburden in the horizontal direction, which is usually related to factors such as horizontal stress and geological structure. The vertical displacement is the amount of movement of the overburden in the vertical direction, which is related to vertical stress, gravity effect of the rock formation, etc. Therefore, the stress characteristics can be determined by acquiring displacement data. The stability of the overburden structure can be monitored through the displacement characteristics, so as to detect possible signs of damage or destruction in advance, and take support and protection measures in time to ensure the normal mining of the coal group.

[0043] The above-mentioned target monitoring results can be used to characterize the stress characteristics and displacement characteristics of the overburden. The target monitoring results may include but are not limited to displacement, stress magnitude, and stress direction, which are not limited here, and the content of the target monitoring results can be determined as needed. The target monitoring results can reflect the stress characteristics and displacement characteristics of the overburden. In addition, the target monitoring results can also be used to adjust the geological monitoring model so that the geological monitoring model can more accurately predict the stress characteristics and displacement characteristics of the overburden.

[0044] In an optional embodiment, the stress characteristics and displacement characteristics of the overburden layer can be predicted by a neural network model to obtain a target monitoring result. Specifically, the machine learning model is pre-trained by historical geological data to obtain a pre-trained geological monitoring model. The machine learning model can be used to learn the relationship between the geological data and the stress characteristics and displacement characteristics of the overburden layer. The geological data and the target monitoring data can be input into the trained geological monitoring model, and the geological monitoring model can predict the stress characteristics and displacement characteristics of the overburden layer to obtain the target monitoring result.

[0045] In another optional embodiment, the stress characteristics and displacement characteristics of the overburden layer can be predicted by the FLAC model to obtain the target monitoring results. Specifically, the FLAC model can be combined with the discrete element method and the finite difference method to perform numerical simulation, analyze the geomechanics of the overburden layer, and thus obtain the target monitoring results. Alternatively, the FLAC model can also be combined with the Mohr-Coulomb model and the empty cell model to calculate the stress data and displacement data of the overburden layer. Specifically, the Mohr-Coulomb model can judge the yield and failure of the rock material of the overburden layer based on the Mohr-Coulomb yield criterion. When the function value obtained by the Mohr-Coulomb yield criterion formula is greater than 0, it is determined that the rock material will undergo shear failure. The empty cell model can be used to simulate situations such as rock material removal.

[0046] Optionally, the Mohr-Coulomb yield criterion is formulated as follows:

[0047]

[0048] In the formula, f s is the material failure function, σ1 is the maximum principal stress, σ3 is the minimum principal stress, c is the bonding force of the material, is the friction of the material, and sin is the sine function.

[0049] In an embodiment of the present invention, geological data of a coal group is obtained; the overburden strata overlying the coal group are monitored to obtain target monitoring data; based on the geological data and the target monitoring data, the stress characteristics and displacement characteristics of the overburden strata are predicted through a geological monitoring model to obtain target monitoring results, so as to efficiently monitor the overburden strata overlying the coal group. It is easy to notice that the method of using a geological monitoring model to predict the stress characteristics and displacement characteristics of the overburden strata avoids manual surveys and reduces monitoring costs, and the geological monitoring model can predict the stress characteristics and displacement characteristics of the overburden strata based on the geological data and the target monitoring data, thereby improving the monitoring efficiency and achieving the purpose of dynamically monitoring the overburden strata over the coal group, thereby achieving the technical effect of improving the monitoring efficiency of the overburden strata over the coal group, and further solving the technical problems of low efficiency and high cost in monitoring the overburden strata over the coal group in related technologies.

[0050] Optionally, the overburden layer overlying the coal group is monitored to obtain target monitoring data, including: monitoring the overburden layer through a data monitoring system to obtain initial monitoring data; and correcting the initial monitoring data through a data correction system to obtain target monitoring data.

[0051] The above-mentioned data monitoring system can be used to monitor the overburden layer. The data monitoring system may include, but is not limited to: sensors, data recorders, amplifiers, etc., which are not limited here and can be determined as needed. Through the data monitoring system, the overburden layer can be monitored in real time to obtain initial monitoring data so as to make timely decisions on geological changes in the overburden layer.

[0052] The above-mentioned data correction system can be used to correct the initial monitoring data. Since the initial monitoring data obtained by the data monitoring system may contain errors, etc., the target monitoring data is determined after the initial monitoring data is corrected by the data correction auxiliary system, so that the target monitoring data can more accurately reflect the stress characteristics and displacement characteristics of the overlying rock formation. The data correction system may include but is not limited to a preprocessing module and a correction algorithm, which are not limited here and can be determined as needed.

[0053] The above-mentioned initial monitoring data can be obtained by directly monitoring the overburden layer through the data monitoring system. The initial monitoring data is first-hand data and can intuitively reflect the geological structure of the overburden layer. However, since the data monitoring system is easily affected by the environment, etc., the initial monitoring data may have deviations, affecting the subsequent target monitoring results of the stress characteristics and displacement characteristics of the overburden layer. Therefore, it is necessary to correct the initial monitoring data to ensure the accuracy of the target monitoring data, thereby improving the accuracy of the prediction of the target monitoring results.

[0054] In an optional embodiment, the overburden layer can be monitored by a data monitoring system to obtain initial monitoring data. Optionally, the overburden layer can be monitored by a sensor or an inclinometer to obtain initial monitoring data. Further, the initial monitoring data can be corrected by a data correction system to obtain target monitoring data. Optionally, the initial monitoring data can be corrected by data cleaning, such as removing noise, filling missing values, etc. The initial monitoring data can also be corrected by a correction algorithm, such as the least squares method, Kalman filtering, etc. Through the use of a data monitoring system and a data correction system, the accuracy and reliability of the target monitoring data can be effectively improved, and monitoring deviations can be reduced.

[0055] Optionally, the data monitoring system includes: at least one pressure sensor and at least one displacement sensor; the overburden layer is monitored by the data monitoring system to obtain initial monitoring data, including: pressure monitoring of the overburden layer by the pressure sensor to obtain pressure data; displacement monitoring of the overburden layer by the displacement sensor to obtain displacement data; initial monitoring data is obtained based on the pressure data and the displacement data.

[0056] The above-mentioned data monitoring system may include but is not limited to: at least one pressure sensor and at least one displacement sensor, which are not limited here and can be determined as needed. The data monitoring system can obtain pressure data and displacement data of the overburden formation through the pressure sensor and the displacement sensor.

[0057] The above-mentioned pressure sensor can be used to monitor the pressure received by the overburden. The pressure sensor may include at least one of the following: a strain gauge pressure sensor, a piezoresistive pressure sensor, a hydraulic pressure sensor, etc. The type of pressure sensor is not limited here and can be determined according to actual needs. The pressure data of the overburden can be monitored by the pressure sensor. The layout location and number of the pressure sensor can be determined based on geological data, so as to monitor the pressure data more accurately. There is no limit on the number of displacement sensors and it can be determined as needed.

[0058] The above-mentioned displacement sensor can be used to monitor the displacement of the overburden layer. The displacement sensor may include at least one of the following: a capacitive displacement sensor, a resistive displacement sensor, a laser displacement sensor, etc. The type of displacement sensor is not limited here and can be determined according to actual needs. The displacement data of the overburden layer can be monitored by the displacement sensor. The layout position and number of the displacement sensor can be determined based on geological data, so as to more accurately monitor the displacement data. There is no limit on the number of pressure sensors and it can be determined as needed.

[0059] In an optional embodiment, the displacement data and the pressure data reflect the geological state of the overburden layer from different angles respectively. Therefore, the pressure data and the displacement data of the overburden layer can be monitored respectively by the data monitoring system, and the initial monitoring data can be determined based on the pressure data and the displacement data. This can comprehensively reflect the stress state and the displacement state of the overburden layer, and also provide richer input data for the geological monitoring model, thereby more accurately predicting the pressure characteristics and displacement characteristics of the overburden layer.

[0060] Take the data monitoring system including 3 displacement sensors and 3 pressure sensors as an example. Figure 2 As shown, 1A, 2A, and 3A in the figure are all pressure sensors, and the layout distance between the three pressure sensors is 20 cm. 1B, 2B, and 3B in the figure are all displacement sensors, and the layout distance between the three displacement sensors is 20 cm.

[0061] Optionally, the above method also includes: constructing a three-dimensional model of the overburden layer based on the geological data; and constructing a data monitoring system and a data correction system based on the three-dimensional model.

[0062] The above three-dimensional model can be the simulation data of the overburden layer. The three-dimensional model can be obtained by simulating the geological data through the simulation platform, so as to build a data monitoring system and a data correction system based on the three-dimensional model, and also to facilitate retention for subsequent analysis.

[0063] In an optional embodiment, the geological data of the coal group can be analyzed to facilitate monitoring of the overburden layer overlying the coal group. A three-dimensional model of the overburden layer can be constructed based on the geological data, and a data monitoring system and a data correction system can be constructed based on the three-dimensional model to monitor the overburden layer. The three-dimensional model makes the construction of the data monitoring system and the data correction system more scientific and reasonable, and can locate the monitoring points more accurately, which is suitable for monitoring the overburden layer.

[0064] Optionally, a data monitoring system and a data correction system are constructed based on the three-dimensional model, including: determining the monitoring position and type of overburden layer based on the three-dimensional model; and constructing a data monitoring system and a data correction system based on the monitoring position and type.

[0065] The above monitoring locations and types can be used to construct data monitoring systems and data correction systems to improve the availability of monitoring. Due to different geological distributions, determining the monitoring location helps ensure the availability of monitoring data, and determining the monitoring type helps ensure the accuracy of monitoring data, thereby facilitating the subsequent prediction of stress characteristics and displacement characteristics of the overburden. The monitoring location and type for monitoring the overburden can be determined by analyzing the three-dimensional model.

[0066] In an optional embodiment, the location and type to be monitored can be determined through the three-dimensional model, thereby constructing a data monitoring system and a data correction system, which can effectively improve the monitoring efficiency and the quality of the target monitoring data.

[0067] Optionally, the above method also includes: adjusting the geological monitoring model based on the target monitoring data and the target monitoring results to obtain the target geological monitoring model.

[0068] The above adjustment may be to adjust the model parameters or model structure of the geological monitoring model to improve the accuracy of the geological monitoring model prediction. Adjusting the geological monitoring model can make the target monitoring results more realistic, thereby accurately predicting the stress characteristics and displacement characteristics of the overburden layer.

[0069] Optionally, based on the target monitoring data and the target monitoring results, the geological monitoring model is adjusted to obtain the target geological monitoring model, including: determining the difference between the target monitoring results and the target monitoring data; and adjusting the geological monitoring model based on the difference to obtain the target geological monitoring model.

[0070] Optionally, the geological monitoring model is adjusted based on the difference to obtain a target geological monitoring model, including: in response to the difference being greater than a preset threshold, repeatedly adjusting the geological monitoring model to obtain an adjusted geological monitoring model, and predicting the stress characteristics and displacement characteristics of the overburden layer through the adjusted geological monitoring model until the difference is less than a preset threshold; in response to the difference being less than the preset threshold, determining the adjusted geological monitoring model as the target geological monitoring model.

[0071] In an optional embodiment, the difference between the target monitoring result and the target monitoring data can be determined by comparing the two. Optionally, the difference between the target monitoring result and the target monitoring data can be determined by simple difference, percentage difference, variance analysis, regression analysis, etc. This difference is then compared with a preset threshold, and optionally, the difference can be compared with a preset threshold through a hash function. If the difference is greater than the preset threshold, it indicates that there is a deviation in the prediction result of the geological monitoring model, and the geological monitoring model needs to be adjusted. Therefore, in response to the difference being greater than the preset threshold, the adjustment of the geological monitoring model is repeated, and the stress characteristics and displacement characteristics of the overburden are predicted by the adjusted geological monitoring model so that the difference is less than the preset threshold. Through the calculation of the difference and the adjustment of the geological monitoring model, the correction of the geological monitoring model can be achieved, and the accuracy of the prediction of the geological monitoring model can be improved.

[0072] Figure 3 is a flow chart of an optional method for monitoring overburden strata on a coal group according to an embodiment of the present invention, such as Figure 3 As shown, the method includes:

[0073] The geological conditions of the coal formation are obtained. Specifically, the geological conditions obtained include but are not limited to porosity, Poisson's ratio, and cohesion.

[0074] The data required for modeling can be obtained from geological conditions, and then three-dimensional modeling of the coal group geological layer can be performed. Optionally, the modeling data includes but is not limited to the coal group resource abundance coefficient and the intra-layer difference coefficient, and three-dimensional modeling can be performed through modeling software.

[0075] Then, a data monitoring system and a data auxiliary system are constructed. Specifically, the geological layers of the coal group can be analyzed through three-dimensional modeling, and the coal group mining process can be simulated by stacking similar models to determine the specific locations of the buried 13 pressure sensors and 13 displacement sensors, so as to obtain accurate monitoring data.

[0076] The monitoring data of the overlying strata of the coal group obtained by the data monitoring system and the data auxiliary system are calculated using the Mohr-Coulomb model and the empty unit model, and the preliminary calculation results of the stress characteristics and displacement characteristics of the overlying strata of the coal group can be obtained.

[0077] Further, the stress characteristics and displacement characteristics of the overburden are calculated. They can be obtained by calculation using the modified model. Specifically, the model can be modified based on the error between the preliminary calculation results and the monitoring data until the error is less than a preset threshold. Then, the stress characteristics and displacement characteristics of the overburden on the coal group are calculated using the modified model.

[0078] According to an embodiment of the present invention, an embodiment of a monitoring device for overlying rock strata on a coal group is provided. It should be noted that the device can be used to execute the above-mentioned monitoring method for overlying rock strata on a coal group.

[0079] Figure 4 Schematic diagram of a monitoring device for overlying rock formations on a coal group according to an embodiment of the present invention. Figure 4 As shown, the device includes: an acquisition module 40 for acquiring geological data of the coal group; a monitoring module 42 for monitoring the overburden layer overlying the coal group to obtain target monitoring data; a prediction module 44 for predicting the stress characteristics and displacement characteristics of the overburden layer through a geological monitoring model based on the geological data and the target monitoring data to obtain target monitoring results.

[0080] Optionally, the monitoring module is also used to monitor the overburden layer through the data monitoring system to obtain initial monitoring data; and to correct the initial monitoring data through the data correction system to obtain target monitoring data.

[0081] Optionally, the data monitoring system includes: at least one pressure sensor and at least one displacement sensor; the monitoring module is also used to monitor the pressure of the overburden layer through the pressure sensor to obtain pressure data; monitor the displacement of the overburden layer through the displacement sensor to obtain displacement data; and obtain initial monitoring data based on the pressure data and the displacement data.

[0082] Optionally, the above device also includes a building module.

[0083] Optionally, a construction module is used to construct a three-dimensional model of the overburden layer based on geological data; based on the three-dimensional model, a data monitoring system and a data correction system are constructed.

[0084] Optionally, the construction module is also used to determine the monitoring position and type of the overburden layer based on the three-dimensional model; and to construct a data monitoring system and a data correction system based on the monitoring position and type.

[0085] Optionally, the above device also includes an adjustment module.

[0086] Optionally, an adjustment module is used to adjust the geological monitoring model based on the target monitoring data and the target monitoring results to obtain the target geological monitoring model.

[0087] Optionally, the adjustment module is also used to determine the difference between the target monitoring result and the target monitoring data; based on the difference, the geological monitoring model is adjusted to obtain the target geological monitoring model.

[0088] Optionally, the adjustment module is also used to, in response to the difference being greater than a preset threshold, repeatedly adjust the geological monitoring model to obtain an adjusted geological monitoring model, and predict the stress characteristics and displacement characteristics of the overburden layer through the adjusted geological monitoring model until the difference is less than a preset threshold; in response to the difference being less than the preset threshold, determine that the adjusted geological monitoring model is the target geological monitoring model.

[0089] An embodiment of the present application further provides an electronic device, comprising: a memory storing an executable program; and a processor for running the program, wherein the program executes the methods in various embodiments of the present invention when running.

[0090] An embodiment of the present application further provides a computer-readable storage medium, which includes a stored executable program, wherein when the executable program is running, the device where the computer-readable storage medium is located is controlled to execute the methods in various embodiments of the present invention.

[0091] An embodiment of the present application further provides a computer program product, including a computer program, which implements the methods in various embodiments of the present invention when executed by a processor.

[0092] An embodiment of the present application further provides a computer program product, including a non-volatile computer-readable storage medium, wherein the non-volatile computer-readable storage medium is used to store a computer program, and when the computer program is executed by a processor, the method in each embodiment of the present invention is implemented.

[0093] The embodiments of the present application further provide a computer program, which implements the methods in the above-mentioned embodiments of the present invention when executed by a processor.

[0094] In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0095] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of the units can be a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0096] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0097] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or 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 software functional units.

[0098] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.

[0099] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for monitoring overlying rock formations on a coal group, characterized in that: include: Obtain geological data of coal formations; Monitor the overlying strata above the coal group to obtain target monitoring data; Based on the geological data and the target monitoring data, the stress characteristics and displacement characteristics of the overburden layer are predicted through a geological monitoring model to obtain a target monitoring result.

2. The monitoring method according to claim 1, characterized in that: The monitoring of the overlying strata above the coal group to obtain target monitoring data includes: Monitoring the overburden layer through a data monitoring system to obtain initial monitoring data; The initial monitoring data is corrected by a data correction system to obtain the target monitoring data.

3. The monitoring method according to claim 2, characterized in that: The data monitoring system includes: at least one pressure sensor and at least one displacement sensor; the overburden layer is monitored by the data monitoring system to obtain initial monitoring data, including: Monitoring the pressure of the overburden layer by means of the pressure sensor to obtain pressure data; Monitor the displacement of the overburden layer by using the displacement sensor to obtain displacement data; The initial monitoring data is obtained based on the pressure data and the displacement data.

4. The monitoring method according to claim 3, characterized in that: The method further comprises: constructing a three-dimensional model of the overburden layer based on the geological data; Based on the three-dimensional model, the data monitoring system and the data correction system are constructed.

5. The monitoring method according to claim 4, characterized in that: The data monitoring system and the data correction system are constructed based on the three-dimensional model, including: Based on the three-dimensional model, determining a monitoring position and type for monitoring the overburden layer; Based on the monitoring location and type, the data monitoring system and the data correction system are constructed.

6. The monitoring method according to claim 1, characterized in that: The method further comprises: Based on the target monitoring data and the target monitoring results, the geological monitoring model is adjusted to obtain a target geological monitoring model.

7. The monitoring method according to claim 6, characterized in that: The step of adjusting the geological monitoring model based on the target monitoring data and the target monitoring result to obtain the target geological monitoring model includes: Determine the difference between the target monitoring result and the target monitoring data; The geological monitoring model is adjusted based on the difference to obtain the target geological monitoring model.

8. The monitoring method according to claim 7, characterized in that: The step of adjusting the geological monitoring model based on the difference to obtain a target geological monitoring model includes: In response to the difference being greater than a preset threshold, repeatedly adjusting the geological monitoring model to obtain an adjusted geological monitoring model, and predicting the stress characteristics and displacement characteristics of the overburden layer by using the adjusted geological monitoring model until the difference is less than the preset threshold; In response to the difference being less than the preset threshold, determining the adjusted geological monitoring model as the target geological monitoring model.

9. A monitoring device for overlying rock formations on coal formations, characterized in that: include: An acquisition module, used to acquire geological data of coal formations; A monitoring module is used to monitor the overlying rock layer on the coal group and obtain target monitoring data; The prediction module is used to predict the stress characteristics and displacement characteristics of the overburden layer through a geological monitoring model based on the geological data and the target monitoring data to obtain a target monitoring result.

10. An electronic device, characterized in that: include: A memory storing an executable program; A processor, configured to run the program, wherein the program executes the method according to any one of claims 1 to 8 when running.

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