Underground site safety state monitoring method and apparatus for coal mine

Abstract

The present application provides an underground site safety state monitoring method and apparatus for a coal mine, applicable to a site monitoring hardware unit group. The site monitoring hardware unit group comprises a plurality of site monitoring hardware units, and the plurality of site monitoring hardware units are used to achieve digitization of an underground site space of a coal mine. The method comprises: constructing digitization result data of an underground site space of a coal mine, and performing semantic segmentation on digitization result data at each moment, and obtaining multiple pieces of semantic geological structure information corresponding to each moment; and, on the basis of multiple pieces of historical semantic geological structure information corresponding to a historical time sequence of the same position, performing safety evaluation on a geological structure at the same position, obtaining a geological evaluation result, and providing a safety early warning on the basis of the geological evaluation result. The underground site safety state monitoring method for a coal mine provided by the present application achieves real-time monitoring of and early warning for the underground site safety state for a coal mine.

Description

A method and device for monitoring safety status of underground coal mine scenes

[0001] CROSS-REFERENCE TO RELATED APPLICATIONS

[0002] This application claims priority to Chinese patent application No. 2024102482816, filed on March 5, 2024, entitled “A method and device for monitoring the safety status of underground coal mine scenes,” which is incorporated herein by reference in its entirety. Technical Field

[0003] The present application relates to the field of image processing technology, and in particular to a method and device for monitoring the safety status of underground coal mine scenes. Background Art

[0004] As a vital energy source, coal mines play an irreplaceable role in the global economy. However, coal mining activities often present severe geological challenges. Especially in fully mechanized mining faces, the core area of ​​coal mine production, safety status monitoring is particularly critical.

[0005] In existing technologies, geological radar is still commonly used as the main exploration tool for daily geological safety monitoring in coal mines. Although geological radar can provide detailed underground structural information, it still faces a series of challenges in its application. First, geological radar equipment is usually relatively large and cannot be deployed routinely in dynamic operation scenarios such as fully mechanized mining working faces. Secondly, the complex and changeable underground scene environment makes data interpretation and analysis generally more difficult. Currently, it is not possible to achieve high-precision real-time autonomous dynamic judgment and identification based on geological data. Professional technicians need to spend a certain amount of time and energy on data analysis to realize the detection and identification of the scene safety status. At the same time, geological radar usually has a limited coverage range, and it is not easy to obtain comprehensive information data of the scene space during the scanning process.

[0006] How to achieve safety status monitoring of underground coal mine scenes and ensure efficient and safe production management of underground operation scenes is a technical problem that needs to be solved at present. Summary of the Invention

[0007] The present application provides a method and device for monitoring the safety status of underground coal mine scenes to address the defects existing in the prior art.

[0008] The present application provides a method for monitoring the safety status of a coal mine underground scene, which is applied to a scene monitoring hardware unit group, wherein the scene monitoring hardware unit group includes multiple scene monitoring hardware units, and the multiple scene monitoring hardware units are used to realize the digitization of the coal mine underground scene space;

[0009] The method comprises:

[0010] Construct digital result data of the underground coal mine scene space, and perform semantic segmentation on the digital result data at each moment to obtain multiple semantic geological structure information corresponding to each moment;

[0011] Based on multiple historical semantic geological structure information corresponding to the historical time series of the same location, a safety assessment is performed on the geological structure at the same location to obtain a geological assessment result, and a safety warning is issued based on the geological assessment result.

[0012] According to a method for monitoring the safety status of a coal mine underground scene provided by the present application, a safety assessment is performed on the geological structure at the same location based on multiple historical semantic geological structure information corresponding to the historical time series of the same location to obtain a geological assessment result, and a safety warning is issued based on the geological assessment result, including:

[0013] When the similarity calculated based on multiple historical semantic geological structure information corresponding to the historical time series of the same location is greater than or equal to the similarity threshold, a discontinuity structure safety assessment is performed on the geological structure at the same location based on the multiple semantic geological structure information at the current moment, and a discontinuity structure assessment result is obtained, and a safety warning is issued based on the discontinuity structure assessment result.

[0014] According to a method for monitoring the safety status of a coal mine underground scene provided by this application, the similarity is obtained based on the following steps:

[0015] The similarity is obtained by calculating the multiple semantic geological structure information at the current moment, the multiple historical semantic geological structure information corresponding to the historical time series of the same position, and the historical digitized result data corresponding to the historical time series of the same position through a digital registration and alignment algorithm; wherein the digital registration and alignment algorithm is used to realize the time series similarity evaluation of the geological structures at the same position.

[0016] According to a method for monitoring the safety status of a coal mine underground scene provided by the present application, after calculating based on multiple semantic geological structure information at the current moment, multiple historical semantic geological structure information corresponding to the historical time series of the same location, and historical digitized result data corresponding to the historical time series of the same location to obtain the similarity, the method further includes:

[0017] When the calculated similarity is less than the similarity threshold, a geological safety warning is issued.

[0018] According to a method for monitoring the safety status of an underground coal mine scene provided by the present application, based on multiple semantic geological structure information at the current moment, a safety assessment of the discontinuity structure of the geological structure at the same location is performed to obtain a discontinuity structure assessment result, and a safety warning is issued based on the discontinuity structure assessment result, including:

[0019] Extracting discontinuous structural features of multiple semantic geological structure information at the current moment, and determining characteristic attributes corresponding to the discontinuous structural features;

[0020] Risk level classification is performed based on characteristic attributes corresponding to the discontinuous structural features; wherein the risk levels include a safe level, a low risk level, and a high risk level.

[0021] According to a method for monitoring the safety status of an underground coal mine scene provided by the present application, after classifying the risk level based on the characteristic attributes corresponding to the discontinuity structural features, the method further includes:

[0022] Determine a high-risk geological area corresponding to a discontinuous structural feature with a high risk level, and obtain a geological analysis confirmation of a target detection result based on detection of the high-risk geological area; wherein the geological analysis confirmation of the target detection result is obtained by detecting the high-risk geological area through a geological radar;

[0023] If the geological analysis of the target detection results confirms that there are geological safety hazards in the high-risk geological area, a geological safety early warning is issued;

[0024] When the geological analysis of the target detection results confirms that there are no geological safety hazards in the high-risk geological area, the discontinuity structural characteristics of the high-risk geological area continue to be monitored.

[0025] According to a method for monitoring the safety status of an underground coal mine scene provided by the present application, after classifying the risk level based on the characteristic attributes corresponding to the discontinuity structural features, the method further includes:

[0026] Determine the low-risk geological area corresponding to the discontinuity structural characteristics with low risk levels, and store the discontinuity structural characteristics of the low-risk geological area in a discontinuity structural time series database to continue monitoring the discontinuity structural characteristics of the low-risk geological area.

[0027] The present application also provides a monitoring device for the safety status of a coal mine underground scene, which is applied to a scene monitoring hardware unit group, wherein the scene monitoring hardware unit group includes multiple scene monitoring hardware units, and the multiple scene monitoring hardware units are used to realize the digitization of the coal mine underground scene space;

[0028] The device comprises:

[0029] The semantic geological structure analysis module is used to construct the digital result data of the coal mine underground scene space and perform semantic segmentation on the digital result data at each moment to obtain multiple semantic geological structure information corresponding to each moment;

[0030] The assessment and early warning module is used to perform safety assessment on the geological structure at the same location based on multiple historical semantic geological structure information corresponding to the historical time series of the same location, obtain geological assessment results, and issue safety warnings based on the geological assessment results.

[0031] The present application also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, a method for monitoring the safety status of an underground coal mine scene as described in any one of the above-mentioned methods is implemented.

[0032] The present application also provides a non-transitory computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the method for monitoring the safety status of an underground coal mine scene as described in any one of the above is implemented.

[0033] The present application also provides a computer program product, including a computer program, which, when executed by a processor, implements the method for monitoring the safety status of a coal mine underground scene as described in any one of the above.

[0034] The present application provides a method and device for monitoring the safety status of a coal mine underground scene, which is applied to a scene monitoring hardware unit group, wherein the scene monitoring hardware unit group includes multiple scene monitoring hardware units, and the multiple scene monitoring hardware units are used to realize the digitization of the coal mine underground scene space; construct the digitized result data of the coal mine underground scene space, and perform semantic segmentation on the digitized result data at each moment to obtain multiple semantic geological structure information corresponding to each moment; based on the multiple historical semantic geological structure information corresponding to the historical time series of the same position, perform a safety assessment on the geological structure at the same position, obtain a geological assessment result, and perform a safety warning based on the geological assessment result. It can be seen that the present application realizes comprehensive monitoring of the coal mine underground scene space through multiple scene monitoring hardware units, obtains semantic geological structure information by performing semantic segmentation on the digitized result data of the coal mine underground scene space constructed by multiple scene monitoring hardware units, and obtains geological assessment results by analyzing the semantic geological structure information, thereby realizing real-time monitoring and early warning of the safety status of the coal mine underground scene. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to more clearly illustrate the technical solutions in the present application or the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0036] FIG1 is a flow chart of a method for monitoring the safety status of an underground coal mine provided by an embodiment of the present application;

[0037] FIG2 is an example diagram of full-scenario digital monitoring hardware provided by an embodiment of the present application;

[0038] FIG3 is a schematic diagram of the deployment of hardware units for full-scene digital monitoring of a fully mechanized mining face in an underground coal mine provided by an embodiment of the present application;

[0039] FIG4 is a second flow chart of a method for monitoring the safety status of an underground coal mine provided by an embodiment of the present application;

[0040] FIG5 is a complete flow chart of a method for monitoring the safety status of an underground coal mine provided by an embodiment of the present application;

[0041] FIG6 is a schematic structural diagram of a monitoring device for the safety status of an underground coal mine provided by an embodiment of the present application;

[0042] FIG7 is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0043] To make the objectives, technical solutions, and advantages of this application more clear, the technical solutions of this application will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the embodiments described are only part of the embodiments of this application, not all of them. Based on the embodiments of this application, all other embodiments obtained by ordinary technicians in this field without making any creative efforts are within the scope of protection of this application.

[0044] The following describes a method and device for monitoring the safety status of an underground coal mine scene of the present application in conjunction with Figures 1 to 7.

[0045] It's important to note that coal mines, as vital energy bases, play an irreplaceable role in the global economic system. However, coal mining activities often present severe geological challenges. Especially in fully mechanized mining faces, the core area of ​​coal mine production, safety status monitoring is particularly critical.

[0046] In the existing technology, geological radar is still usually used as the main exploration tool for daily geological safety monitoring in coal mines. Although geological radar can provide detailed underground structure information, it still faces a series of challenges in its application. First, geological radar equipment is usually relatively large and cannot be deployed in a normalized manner in dynamic operation scenarios such as comprehensive mining working faces. Secondly, the complex and changeable underground scene environment makes data interpretation and analysis usually more difficult. Currently, it is not possible to achieve high-precision real-time autonomous dynamic judgment and identification based on geological data. Professional and technical personnel need to spend a certain amount of time and energy on data analysis to achieve detection and identification of the scene safety status. At the same time, geological radar usually has a limited coverage range, and it is not easy to obtain comprehensive information data of the scene space during the scanning process. Based on this, this embodiment proposes a method for monitoring the safety status of coal mine underground scenes to solve at least one of the above problems.

[0047] FIG1 is a flow chart of a method for monitoring the safety status of an underground coal mine scene provided by an embodiment of the present application. As shown in FIG1 , the method for monitoring the safety status of an underground coal mine scene provided by this embodiment is applied to a scene monitoring hardware unit group, wherein the scene monitoring hardware unit group includes multiple scene monitoring hardware units, and the multiple scene monitoring hardware units are used to realize the digitization of the underground coal mine scene space;

[0048] A fully mechanized mining face is the underground mining area of ​​a mine, the site of coal mining. It typically consists of shearers, supports, and face conveyors, mechanizing the mining process. The size and layout of a fully mechanized mining face directly impacts mine production efficiency and safety.

[0049] It should be noted that the executing body of this embodiment is a scene monitoring hardware unit group, including multiple scene monitoring hardware units. Figure 2 is an example diagram of the full-scene digital monitoring hardware provided by the embodiment of this application. As shown in Figure 2, each scene monitoring hardware unit includes multiple image sensors in different orientations, see image sensors 1-4 in the figure, and also includes an edge intelligent computing unit, data exchange equipment, clock synchronization equipment, attitude sensor array, electromagnetic shielding plate and ranging radar sensor, etc.

[0050] Furthermore, Figure 3 is a schematic diagram of the deployment of full-scene digital monitoring hardware units for the comprehensive mining working face in an underground coal mine provided in an embodiment of the present application. As shown in Figure 3, multiple scene monitoring hardware units are installed and deployed on the hydraulic support at a certain interval, and a certain overlapping monitoring visual range is guaranteed between adjacent monitoring hardware units.

[0051] The method comprises:

[0052] Step 100: construct digital result data of the coal mine underground scene space, and perform semantic segmentation on the digital result data at each moment to obtain multiple semantic geological structure information corresponding to each moment.

[0053] It should be noted that the digitization of the underground scene space is achieved by relying on multiple scene monitoring hardware units and the corresponding spatial digital construction system. At the same time, the digital construction results of the scene space are continuously updated in real time and the digital result data of the underground scene space is continuously stored in the corresponding digital construction result database.

[0054] Specifically, based on the digitized data of the underground scene space constructed in real time, semantic instance segmentation of the scene is performed using machine learning-related neural networks, including but not limited to PointNet and KPConv, to extract relevant semantic geological structural information, including but not limited to coal wall, top coal, floor, and surrounding rock. The same location has multiple corresponding semantic geological structural information at each moment.

[0055] Optionally, multiple semantic geological structure information corresponding to each moment can be stored in a corresponding database.

[0056] Step 200: Based on multiple historical semantic geological structure information corresponding to the historical time series of the same location, a safety assessment is performed on the geological structure at the same location to obtain a geological assessment result, and a safety warning is issued according to the geological assessment result.

[0057] Specifically, this embodiment mainly performs real-time dynamic analysis on the physical state of the coal seam surface and the discontinuity structure in the underground coal mine scene space.

[0058] It should be noted that abnormal conditions such as spalling, bulging coal, and roof falls may occur on the surface of the coal seam. Spalling refers to the phenomenon that the working face and side walls of the mine are deformed, damaged and fall off under the action of mine pressure. Spalling will affect the stability and safety of the mine and need to be dealt with in a timely manner. Bulging coal refers to the accumulation of coal blocks at the bottom of the coal seam due to uneven hardness or inappropriate cutting depth when the coal seam is cut by the coal mining machine, forming an obstacle. Bulging coal will reduce the efficiency and quality of the coal mining machine and need to be cleaned regularly. Roof falls refer to the phenomenon that the mine roof falls out of control. Roof falls are a common cause of mine accidents, which can cause casualties and equipment damage. It is necessary to pay attention to the signs of roof falls to prevent large-scale roof falls.

[0059] Discontinuous structural abnormality is a common geological problem, which is characterized by changes in stratum lithology and unstable rock structure, which can easily lead to safety accidents such as rock collapse, roof subsidence, and coal pillar shrinkage.

[0060] Specifically, based on multiple historical semantic geological structure information corresponding to the historical time series of the same location, the similarity is calculated, and based on the similarity evaluation result, it is determined whether there is an abnormality in the physical state of the coal seam surface.

[0061] Furthermore, based on the multiple semantic geological structure information at the current moment, the discontinuity structure is analyzed, and based on the analysis result, it is determined whether the discontinuity structure state is abnormal.

[0062] The above is a step-by-step description of the method for monitoring the safety status of underground coal mine scenes provided by this embodiment. From the description of the above steps, it can be seen that the method for monitoring the safety status of underground coal mine scenes provided by this embodiment is applied to a scene monitoring hardware unit group, and the scene monitoring hardware unit group includes multiple scene monitoring hardware units, and the multiple scene monitoring hardware units are used to realize the digitization of the underground coal mine scene space; construct the digitized result data of the underground coal mine scene space, and perform semantic segmentation on the digitized result data at each moment to obtain multiple semantic geological structure information corresponding to each moment; based on the multiple historical semantic geological structure information corresponding to the historical time series of the same position, perform a safety assessment on the geological structure at the same position, obtain a geological assessment result, and perform a safety warning based on the geological assessment result. It can be seen that the present application realizes comprehensive monitoring of the fully mechanized mining working face through multiple scene monitoring hardware units, obtains semantic geological structure information by performing semantic segmentation on the digitized result data of the underground coal mine scene space constructed by multiple scene monitoring hardware units, analyzes the semantic geological structure information to obtain the geological assessment result, and realizes real-time monitoring and early warning of the safety status of the underground coal mine scene.

[0063] Based on the above embodiment, in this embodiment, step 200 performs a safety assessment on the geological structure at the same location based on multiple historical semantic geological structure information corresponding to the historical time series of the same location, obtains a geological assessment result, and issues a safety warning based on the geological assessment result, including:

[0064] When the similarity calculated based on multiple historical semantic geological structure information corresponding to the historical time series of the same location is greater than or equal to the similarity threshold, a discontinuity structure safety assessment is performed on the geological structure at the same location based on the multiple semantic geological structure information at the current moment, and a discontinuity structure assessment result is obtained, and a safety warning is issued based on the discontinuity structure assessment result.

[0065] Optionally, the similarity is obtained based on the following steps:

[0066] The similarity is obtained by calculating the multiple semantic geological structure information at the current moment, the multiple historical semantic geological structure information corresponding to the historical time series of the same position, and the historical digitized result data corresponding to the historical time series of the same position through a digital registration and alignment algorithm; wherein the digital registration and alignment algorithm is used to realize the time series similarity evaluation of the geological structures at the same position.

[0067] Specifically, the extracted semantic geological structure information at the current moment is processed and analyzed using a digital registration algorithm, combined with digital construction data from similar historical time series and corresponding prior information on semantic geological structures. This digital registration algorithm includes, but is not limited to, the Iterative Closest Point (ICP) algorithm, the Normal Distribution Transformation (NDT) algorithm, the feature registration graph optimization algorithm, and the topological structure comparison method. This algorithm is used to assess the temporal similarity of geological structures at the same location.

[0068] Furthermore, when the similarity value is less than the similarity threshold, it is determined that the physical change degree of the geological structure in the corresponding area is large, and spalling and roof collapse may occur, and an abnormal safety status warning will be issued.

[0069] Furthermore, when the similarity value is greater than or equal to the similarity threshold, a safety assessment of the discontinuous structure is performed to obtain a discontinuous structure assessment result, and a safety warning is issued according to the discontinuous structure assessment result.

[0070] The method for monitoring the safety status of underground coal mine scenes provided in this embodiment further analyzes the discontinuity structure after analyzing the physical status of the coal seam surface, thereby realizing real-time monitoring and early warning of the safety status in the working space.

[0071] Based on the above embodiment, in this embodiment, the safety assessment of the discontinuity structure is performed on the geological structure at the same location based on the multiple semantic geological structure information at the current moment, and a discontinuity structure assessment result is obtained. A safety warning is issued according to the discontinuity structure assessment result, including:

[0072] Extracting discontinuous structural features of a plurality of semantic geological structural information corresponding to the current moment, and determining characteristic attributes corresponding to the discontinuous structural features;

[0073] Risk level classification is performed based on characteristic attributes corresponding to the discontinuous structural features; wherein the risk levels include a safe level, a low risk level, and a high risk level.

[0074] Specifically, the processing and extraction of multiple semantic geological structure information at the current moment is continued. Based on texture, color, spatial depth information, etc., various edge recognition algorithms, plane fitting algorithms, machine learning algorithms and various discontinuity structure physical models are combined to complete the extraction of discontinuity structure related features, including but not limited to cracks, joints, faults, etc., and the corresponding parameters including but not limited to normal vectors and curvature are calculated according to the physical model.

[0075] Furthermore, the extracted discontinuous structural features are analyzed, and feature segmentation, classification and clustering are performed, and the attributes of the relevant discontinuous structural features are measured, including but not limited to type, length, width, depth, harmfulness, etc., and the safety level, low risk level and high risk level are graded according to the characteristic attribute indicators of the discontinuous structural features.

[0076] The method for monitoring the safety status of underground coal mine scenes provided in this embodiment further analyzes the discontinuity structure after analyzing the physical status of the coal seam surface, thereby realizing real-time monitoring and early warning of the safety status in the working space.

[0077] Based on the above embodiment, in this embodiment, FIG4 is a second flow chart of the method for monitoring the safety status of a coal mine underground scene provided by the embodiment of the present application. As shown in FIG4 , after performing risk level classification based on the characteristic attributes corresponding to the discontinuity structural features, the method further includes:

[0078] Step 410: Determine a high-risk geological area corresponding to a discontinuous structural feature with a high risk level, and obtain a geological analysis confirmation of a target detection result based on the detection of the high-risk geological area; wherein the geological analysis confirmation of the target detection result is obtained by detecting the high-risk geological area through a geological radar.

[0079] Step 420: When the geological analysis of the target detection results confirms that there are geological safety hazards in the high-risk geological area, a geological safety warning is issued.

[0080] Step 430: When the geological analysis of the target detection result confirms that there is no geological safety hazard in the high-risk geological area, continue to monitor the discontinuity structural characteristics of the high-risk geological area.

[0081] Specifically, high-risk geological areas corresponding to discontinuous structural features that may pose geological safety hazards are detected using geological radar, and geological analysis is conducted by professionals to confirm their true risk factors. If a geological safety hazard is confirmed to exist, an abnormal geological safety status warning is issued. If no geological safety hazard is confirmed, the identified discontinuity structural feature is classified as low-risk, and dynamic changes in the discontinuity structure will be monitored. At the same time, the low-risk discontinuity structural features obtained through analysis will be continuously stored in the discontinuity structure time series database to meet the needs of dynamic discontinuity structure monitoring.

[0082] The method for monitoring the safety status of underground coal mine scenes provided in this embodiment uses geological radar to detect and further analyze high-risk geological areas corresponding to discontinuous structural features that may pose geological safety hazards, confirm their true risk factors, and ensure the reliability of monitoring.

[0083] Based on the above embodiment, in this embodiment, after risk level classification is performed based on the characteristic attributes corresponding to the discontinuous structural features, the method further includes:

[0084] Determine the low-risk geological area corresponding to the discontinuity structural characteristics with low risk levels, and store the discontinuity structural characteristics of the low-risk geological area in a discontinuity structural time series database to continue monitoring the discontinuity structural characteristics of the low-risk geological area.

[0085] Specifically, continuous key monitoring and analysis are carried out for discontinuous structural features with low risk levels. When the risk of discontinuous structural features is upgraded and it is judged that there are high geological safety risks such as roof collapse and collapse, geological radar detection confirmation and abnormal warning and visual report output of the corresponding safety status are carried out in a timely manner.

[0086] The method for monitoring the safety status of underground coal mine scenes provided in this embodiment performs continuous key monitoring and analysis on discontinuous structural features with low risk levels to ensure the reliability of monitoring.

[0087] FIG5 is a complete flow chart of the method for monitoring the safety status of an underground coal mine scene provided by an embodiment of the present application. As shown in FIG5 , the method for monitoring the safety status of an underground coal mine scene provided by an embodiment of the present application is described:

[0088] 1. Carry out digital construction of the entire scene, and continuously update the digital construction results of the scene space in real time, and continuously store the digital result data of the underground scene space in the corresponding digital construction result database.

[0089] 2. Based on machine learning, the digital result data of the constructed underground scene space is semantically segmented to obtain multiple semantic geological structure information corresponding to each moment, and the information is synchronously stored in the digital construction result database.

[0090] 3. Perform registration and alignment based on the historical digital construction results and perform similarity evaluation calculations.

[0091] 4. When the similarity value is less than the similarity threshold, a safety status abnormality warning is issued; when the similarity value is greater than or equal to the similarity threshold, a safety assessment of the discontinuous structure is performed.

[0092] 5. Extract the discontinuous structural features of multiple semantic geological structure information corresponding to each moment, conduct discontinuous structural analysis and risk level assessment, and synchronously store the analysis and assessment results in the discontinuous structure time series database.

[0093] 6. Determine the high-risk geological areas corresponding to the discontinuous structural features with high risk levels, detect the high-risk geological areas through geological radar, and obtain geological analysis confirmation of the target detection results.

[0094] 7. If the geological analysis of the target detection results confirms that there are geological safety hazards in the high-risk geological area, a geological safety early warning will be issued; if the geological analysis of the target detection results confirms that there are no geological safety hazards in the high-risk geological area, the discontinuity structural characteristics of the high-risk geological area will continue to be monitored;

[0095] 8. The discontinuity structural characteristics of the low-risk geological area are stored in the discontinuity structural time series database to continue monitoring the discontinuity structural characteristics of the low-risk geological area.

[0096] The embodiment of the present application provides a method for monitoring the safety status of underground coal mine scenes. It conducts real-time dynamic analysis of the physical status of the coal seam surface and discontinuous structures in the entire working face scene space, detects and identifies abnormal conditions such as spalling, coal piles at the bottom of the drum, roof falls, and discontinuous structures, and realizes real-time monitoring and early warning of the safety status in the working space.

[0097] The following describes the monitoring device for the safety status of underground coal mine scenes provided in this application. The monitoring device for the safety status of underground coal mine scenes described below and the monitoring method for the safety status of underground coal mine scenes described above can be referenced to each other.

[0098] FIG6 is a schematic diagram of the structure of a monitoring device for the safety status of an underground coal mine scene provided by an embodiment of the present application. As shown in FIG6 , the monitoring device for the safety status of an underground coal mine scene provided by this embodiment is applied to a scene monitoring hardware unit group, wherein the scene monitoring hardware unit group includes multiple scene monitoring hardware units, and the multiple scene monitoring hardware units are used to realize the digitization of the underground coal mine scene space;

[0099] The device comprises:

[0100] The semantic geological structure analysis module 601 is used to construct digital result data of the coal mine underground scene space and perform semantic segmentation on the digital result data at each moment to obtain multiple semantic geological structure information corresponding to each moment;

[0101] The assessment and warning module 602 is used to perform safety assessment on the geological structure at the same location based on multiple historical semantic geological structure information corresponding to the historical time series of the same location, obtain geological assessment results, and issue safety warnings based on the geological assessment results.

[0102] The monitoring device for the safety status of underground coal mine scenes provided in this embodiment is applied to a scene monitoring hardware unit group, which includes multiple scene monitoring hardware units. The multiple scene monitoring hardware units are used to realize the digitization of the underground coal mine scene space; construct the digital result data of the underground coal mine scene space, and perform semantic segmentation on the digital result data at each moment to obtain multiple semantic geological structure information corresponding to each moment; based on the multiple historical semantic geological structure information corresponding to the historical time series of the same position, perform a safety assessment on the geological structure at the same position to obtain a geological assessment result, and perform a safety warning based on the geological assessment result. It can be seen that the present application realizes comprehensive monitoring of the fully mechanized mining working face through multiple scene monitoring hardware units, obtains semantic geological structure information by performing semantic segmentation on the digital result data of the underground coal mine scene space constructed by multiple scene monitoring hardware units, and obtains geological assessment results by analyzing the semantic geological structure information, thereby realizing real-time monitoring and early warning of the safety status of the underground coal mine scene.

[0103] Based on the above embodiment, in this embodiment, the evaluation and warning module 602 is specifically used to:

[0104] When the similarity calculated based on multiple historical semantic geological structure information corresponding to the historical time series of the same location is greater than or equal to the similarity threshold, a discontinuity structure safety assessment is performed on the geological structure at the same location based on the multiple semantic geological structure information at the current moment, and a discontinuity structure assessment result is obtained, and a safety warning is issued based on the discontinuity structure assessment result.

[0105] Based on the above embodiment, in this embodiment, the device further includes a calculation module, which is specifically configured to:

[0106] The similarity is obtained by calculating the multiple semantic geological structure information at the current moment, the multiple historical semantic geological structure information corresponding to the historical time series of the same position, and the historical digitized result data corresponding to the historical time series of the same position through a digital registration and alignment algorithm; wherein the digital registration and alignment algorithm is used to realize the time series similarity evaluation of the geological structures at the same position.

[0107] Based on the above embodiment, in this embodiment, the evaluation and warning module 602 is specifically used to:

[0108] After calculating the similarity based on multiple semantic geological structure information at the current moment, multiple historical semantic geological structure information corresponding to the historical time series of the same position, and historical digitized result data corresponding to the historical time series of the same position, if the calculated similarity is less than the similarity threshold, a geological safety warning is issued.

[0109] Based on the above embodiment, in this embodiment, the device further includes a classification module, which is specifically configured to:

[0110] Extracting discontinuous structural features of a plurality of semantic geological structural information corresponding to the current moment, and determining characteristic attributes corresponding to the discontinuous structural features;

[0111] Risk level classification is performed based on characteristic attributes corresponding to the discontinuous structural features; wherein the risk levels include a safe level, a low risk level, and a high risk level.

[0112] Based on the above embodiment, in this embodiment, the device further includes a detection module, which is specifically configured to:

[0113] After risk level classification is performed based on the characteristic attributes corresponding to the discontinuous structural features, a high-risk geological area corresponding to the discontinuous structural features having a high risk level is determined, and a geological analysis confirmation of a target detection result based on detection of the high-risk geological area is obtained; wherein the geological analysis confirmation of the target detection result is obtained by detecting the high-risk geological area through a geological radar;

[0114] If the geological analysis of the target detection results confirms that there are geological safety hazards in the high-risk geological area, a geological safety early warning is issued;

[0115] When the geological analysis of the target detection results confirms that there are no geological safety hazards in the high-risk geological area, the discontinuity structural characteristics of the high-risk geological area continue to be monitored.

[0116] Based on the above embodiment, in this embodiment, the device further includes a storage module, which is specifically configured to:

[0117] After classifying the risk levels based on the characteristic attributes corresponding to the discontinuity structural features, low-risk geological areas corresponding to discontinuity structural features with low risk levels are determined, and the discontinuity structural features of the low-risk geological areas are stored in a discontinuity structure time series database to continue monitoring the discontinuity structural features of the low-risk geological areas.

[0118] FIG7 illustrates a schematic diagram of the physical structure of an electronic device. As shown in FIG7 , the electronic device may include: a processor 710, a communications interface 720, a memory 730, and a communication bus 740, wherein the processor 710, the communications interface 720, and the memory 730 communicate with each other via the communication bus 740. The processor 710 may call the logic instructions in the memory 730 to execute a method for monitoring the safety status of an underground coal mine scene, which is applied to a scene monitoring hardware unit group, wherein the scene monitoring hardware unit group includes multiple scene monitoring hardware units, and the multiple scene monitoring hardware units are used to realize the digitization of the underground coal mine scene space;

[0119] The method comprises:

[0120] Construct digital result data of the underground coal mine scene space, and perform semantic segmentation on the digital result data at each moment to obtain multiple semantic geological structure information corresponding to each moment;

[0121] Based on multiple historical semantic geological structure information corresponding to the historical time series of the same location, a safety assessment is performed on the geological structure at the same location to obtain a geological assessment result, and a safety warning is issued based on the geological assessment result.

[0122] In addition, the logic instructions in the above-mentioned memory 730 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when sold or used as an independent product. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or the 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 enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0123] On the other hand, the present application further provides a computer program product, the computer program product including a computer program, the computer program being storable on a non-transitory computer-readable storage medium, and the computer program being capable of executing the above-mentioned methods for monitoring the safety status of underground coal mine scenes provided by the aforementioned methods, and being applied to a scene monitoring hardware unit group, the scene monitoring hardware unit group including a plurality of scene monitoring hardware units, the plurality of scene monitoring hardware units being used to realize digitization of underground coal mine scene space;

[0124] The method comprises:

[0125] Construct digital result data of the underground coal mine scene space, and perform semantic segmentation on the digital result data at each moment to obtain multiple semantic geological structure information corresponding to each moment;

[0126] Based on multiple historical semantic geological structure information corresponding to the historical time series of the same location, a safety assessment is performed on the geological structure at the same location to obtain a geological assessment result, and a safety warning is issued based on the geological assessment result.

[0127] In another aspect, the present application further provides a non-transitory computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the computer program is implemented to execute the method for monitoring the safety status of a coal mine underground scene provided by each of the above methods, and is applied to a scene monitoring hardware unit group, wherein the scene monitoring hardware unit group includes multiple scene monitoring hardware units, and the multiple scene monitoring hardware units are used to realize the digitization of the coal mine underground scene space;

[0128] The method comprises:

[0129] Construct digital result data of the underground coal mine scene space, and perform semantic segmentation on the digital result data at each moment to obtain multiple semantic geological structure information corresponding to each moment;

[0130] Based on multiple historical semantic geological structure information corresponding to the historical time series of the same location, a safety assessment is performed on the geological structure at the same location to obtain a geological assessment result, and a safety warning is issued based on the geological assessment result.

[0131] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, i.e., they may be located in one location or distributed across multiple network units. Some or all of the modules may be selected based on actual needs to achieve the objectives of the present embodiment. Persons of ordinary skill in the art will be able to understand and implement the present invention without inventive effort.

[0132] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, or of course, by hardware. Based on this understanding, the essence of the above technical solution or the part that contributes to the existing technology can be embodied in the form of a software product. The computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, an optical disk, etc., and includes a number of instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or certain parts of the embodiments.

[0133] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for monitoring the safety status of an underground coal mine scene, applied to a scene monitoring hardware unit group, wherein the scene monitoring hardware unit group includes multiple scene monitoring hardware units, and the multiple scene monitoring hardware units are used to digitize the underground coal mine scene space; The method comprises: Construct digital result data of the coal mine underground scene space, and perform semantic segmentation on the digital result data at each moment to obtain multiple semantic geological structure information corresponding to each moment; Based on multiple historical semantic geological structure information corresponding to the historical time series of the same location, a safety assessment is performed on the geological structure at the same location to obtain a geological assessment result, and a safety warning is issued based on the geological assessment result.

2. The method for monitoring the safety status of underground coal mine scenes according to claim 1, wherein: The method of performing a safety assessment on the geological structure at the same location based on the multiple historical semantic geological structure information corresponding to the historical time series of the same location to obtain a geological assessment result and issuing a safety warning based on the geological assessment result includes: When the similarity calculated based on multiple historical semantic geological structure information corresponding to the historical time series of the same location is greater than or equal to the similarity threshold, a discontinuity structure safety assessment is performed on the geological structure at the same location based on the multiple semantic geological structure information at the current moment, and a discontinuity structure assessment result is obtained, and a safety warning is issued based on the discontinuity structure assessment result.

3. The method for monitoring the safety status of underground coal mines according to claim 2, wherein: The similarity is obtained based on the following steps: The similarity is obtained by calculating the multiple semantic geological structure information at the current moment, the multiple historical semantic geological structure information corresponding to the historical time series of the same position, and the historical digitized result data corresponding to the historical time series of the same position through a digital registration and alignment algorithm; wherein the digital registration and alignment algorithm is used to realize the time series similarity evaluation of the geological structures at the same position.

4. The method for monitoring the safety status of underground coal mines according to claim 3, wherein: After calculating based on the multiple semantic geological structure information at the current moment, the multiple historical semantic geological structure information corresponding to the historical time series at the same location, and the historical digitized result data corresponding to the historical time series at the same location to obtain the similarity, the method further includes: When the calculated similarity is less than the similarity threshold, a geological safety warning is issued.

5. The method for monitoring the safety status of underground coal mines according to claim 2, wherein: The method of performing a safety assessment of a discontinuous structure on a geological structure at the same location based on the multiple semantic geological structure information at the current moment, obtaining a discontinuous structure assessment result, and issuing a safety warning based on the discontinuous structure assessment result includes: Extracting discontinuous structural features of a plurality of semantic geological structural information corresponding to the current moment, and determining characteristic attributes corresponding to the discontinuous structural features; Risk level classification is performed based on characteristic attributes corresponding to the discontinuous structural features; wherein the risk levels include a safe level, a low risk level, and a high risk level.

6. The method for monitoring the safety status of underground coal mines according to claim 5, wherein: After classifying the risk level based on the characteristic attributes corresponding to the discontinuous structural features, the method further includes: Determine a high-risk geological area corresponding to a discontinuous structural feature with a high risk level, and obtain a geological analysis confirmation of a target detection result based on detection of the high-risk geological area; wherein the geological analysis confirmation of the target detection result is obtained by detecting the high-risk geological area through a geological radar; If the geological analysis of the target detection results confirms that there are geological safety hazards in the high-risk geological area, a geological safety early warning is issued; When the geological analysis of the target detection results confirms that there are no geological safety hazards in the high-risk geological area, the discontinuity structural characteristics of the high-risk geological area continue to be monitored.

7. The method for monitoring the safety status of underground coal mines according to claim 5, wherein: After classifying the risk level based on the characteristic attributes corresponding to the discontinuous structural features, the method further includes: Determine the low-risk geological area corresponding to the discontinuity structural characteristics with low risk levels, and store the discontinuity structural characteristics of the low-risk geological area in a discontinuity structural time series database to continue monitoring the discontinuity structural characteristics of the low-risk geological area.

8. A device for monitoring the safety status of underground coal mine scenes, applied to a scene monitoring hardware unit group, the scene monitoring hardware unit group comprising a plurality of scene monitoring hardware units, the plurality of scene monitoring hardware units being used to digitize the underground coal mine scene space; The device comprises: The semantic geological structure analysis module is used to construct the digital result data of the coal mine underground scene space and perform semantic segmentation on the digital result data at each moment to obtain multiple semantic geological structure information corresponding to each moment; The assessment and early warning module is used to perform safety assessment on the geological structure at the same location based on multiple historical semantic geological structure information corresponding to the historical time series of the same location, obtain geological assessment results, and issue safety warnings based on the geological assessment results.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the method for monitoring the safety status of an underground coal mine scene as claimed in any one of claims 1 to 7 is implemented.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the method for monitoring the safety status of an underground coal mine scene according to any one of claims 1 to 7 is implemented.

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