A mine intelligent monitoring method and system based on 3D visualization

Abstract

The present invention discloses a mine intelligent monitoring method and system based on three-dimensional visualization. The method includes: obtaining geological data of the ore body area, constructing a surface model, and performing boundary filling on the surface model to obtain a three-dimensional ore body model; obtaining vegetation data and identification data of the mine surface and annotating them in the three-dimensional ore body model to obtain a three-dimensional mine model; updating the three-dimensional mine model at preset time intervals according to the working parameters and task progress of the mining equipment and displaying it in a three-dimensional visualization platform; monitoring the environmental information, personnel behavior information, and working status of the mining equipment in the mine, identifying abnormal information, and synchronizing it to the three-dimensional visualization platform for supervision. The present invention can perform visual management on the mining area environment, mining status, and data information to improve the efficiency and intuitiveness of mine data management.

Description

Technical Field

[0001] The present invention relates to the technical field of mine monitoring, and in particular, to a mine intelligent monitoring method and system based on three-dimensional visualization. Background Art

[0002] A green mine is a mine that implements scientific and orderly mining throughout the entire process of mineral resource development, controls the disturbance of mining activities to the ecological environment in the mining area and its surrounding areas within a controllable range, and realizes ecologicalization of the mining area environment, scientific mining methods, high-efficiency resource utilization, digital management information, and harmony of the mining area community. However, for the existing monitoring methods of green mines, the monitoring results cannot be visualized, and it is necessary to manually process the data later. The monitoring results cannot be intuitively presented, and the management efficiency of mine monitoring data is low.

[0003] Therefore, a mine intelligent monitoring and management method is needed to visually manage the mining area environment, mining status, and data information, so as to improve the management efficiency and intuitiveness of mine data. Summary of the Invention

[0004] Embodiments of the present invention provide a mine intelligent monitoring method and system based on three-dimensional visualization, which can visually manage the mining area environment, mining status, and data information, so as to improve the management efficiency and intuitiveness of mine data.

[0005] An embodiment of the present invention provides a mine intelligent monitoring method based on three-dimensional visualization, including:

[0006] Obtain geological data of the ore body area, construct a surface model, and perform boundary filling on the surface model to obtain an ore body three-dimensional model;

[0007] Obtain vegetation data and identification data of the mine surface, and mark them on the ore body three-dimensional model to obtain a mine three-dimensional model;

[0008] Update the mine three-dimensional model at preset time intervals according to the working parameters and task progress of the mining equipment, and display it on a three-dimensional visualization platform;

[0009] Monitor the environmental information, personnel behavior information, and working status of the mining equipment of the mine, identify abnormal information, and synchronize it to the three-dimensional visualization platform for supervision.

[0010] As an improvement of the above solution, the obtaining geological data of the ore body area, constructing a surface model, and performing boundary filling on the surface model to obtain an ore body three-dimensional model includes:

[0011] Obtain the geological data of the ore body area, where the geological data includes geological maps, borehole data, profile line data, ore seam roof data, ore seam floor data, and fault line data;

[0012] Import the geological data into the model construction platform to construct the surface model;

[0013] Divide the surface model according to the profile line data to obtain the ore body area and the non-ore body area;

[0014] Perform texture filling on the ore body area;

[0015] Perform reflection filling on the non-ore body area according to the following formula:

[0016] I fill (x,y) = I boundary (x,-y) + (rand 1 (-Pix / 15,Pix / 15) * rand 2 (1,5))

[0017] In the formula, I fill (x,y) is the pixel value of the filled image at the coordinate (x,y), I boundary (x,-y) is the pixel value of the boundary area at the coordinate (x,-y), rand 1 (-Pix / 15,Pix / 15) is the first random value, Pix is the maximum pixel value in the surface model, rand 2 (1,5) is a random value between 1 and 5.

[0018] As an improvement of the above solution, the performing texture filling on the ore body area includes:

[0019] Obtain the display mode and free performance value of the 3D visualization platform;

[0020] Obtain the texture filling result according to the display mode and free performance value.

[0021] As an improvement of the above solution, the obtaining the vegetation data and identification data of the mine surface and marking them in the 3D ore body model to obtain the 3D mine model includes:

[0022] Obtain the vegetation data of the mine surface through remote sensing data, where the vegetation data includes vegetation type, height, and coverage area;

[0023] Generate a 3D vegetation model corresponding to the vegetation data;

[0024] Align the coordinates of the three-dimensional vegetation model and the three-dimensional ore body model and fuse the models to obtain a three-dimensional vegetation-ore body model;

[0025] Obtain identification data from a preset early warning database, where the identification data includes identification signs and waste rock areas;

[0026] Mark the identification signs and waste rock areas in the three-dimensional vegetation-ore body model to obtain the three-dimensional mine model.

[0027] As an improvement to the above solution, updating the three-dimensional mine model at preset time intervals according to the working parameters and task progress of the mining equipment and displaying it in a three-dimensional visualization platform includes:

[0028] Calculate the driving size and driving path of the mining equipment according to the working parameters and task progress of the mining equipment, as well as the driving progress of the mining equipment at different times;

[0029] Obtain the size and contour of the driving tunnel according to the driving size, driving path and driving progress of the mining equipment;

[0030] Update the three-dimensional mine model according to the size and contour of the driving tunnel and display it in a three-dimensional visualization platform.

[0031] As an improvement to the above solution, the display in the three-dimensional visualization platform includes:

[0032] Identify the default view and view switching instructions of the three-dimensional visualization platform;

[0033] Based on the default view, divide the initial visible area and the initial non-visible area of the three-dimensional mine model. When in the default view, load the model data of the initial visible area and unload the model data of the initial non-visible area;

[0034] When a view switching instruction is received, calculate the second visible area and the second non-visible area corresponding to the switched view;

[0035] Calculate the visible difference set between the second visible area and the initial visible area, and dynamically load the visible difference set;

[0036] Calculate the non-visible difference set between the second non-visible area and the initial non-visible area, and dynamically unload the non-visible difference set.

[0037] As an improvement to the above solution, monitoring the environmental information, personnel behavior information and the working status of the mining equipment of the mine, identifying abnormal information, and synchronizing it to the three-dimensional visualization platform for supervision includes:

[0038] Monitor the environmental information, where the environmental information includes the vegetation change status and the occurrence of fires;

[0039] Monitor the personnel behavior information, where the personnel behavior information includes waste rock stacking behavior, smoking behavior, drinking behavior, and dressing conditions;

[0040] Monitor the working status of the mining equipment, where the working status of the mining equipment includes working, shutdown, and partial damage;

[0041] When it is recognized that the environmental information, the personnel behavior information, and the working status of the mining equipment are abnormal, synchronize them to the 3D visualization platform, and the 3D visualization platform issues an alarm.

[0042] Another embodiment of the present invention correspondingly provides a mine intelligent monitoring system based on 3D visualization, including:

[0043] An ore body model construction module, configured to obtain geological data of the ore body area, construct a surface model, and perform boundary filling on the surface model to obtain a 3D ore body model;

[0044] A mine model construction module, configured to obtain vegetation data and identification data of the mine surface and mark them on the 3D ore body model to obtain a 3D mine model;

[0045] A 3D visualization platform, configured to display the updated 3D mine model after the mine model construction module updates the 3D mine model at preset time intervals according to the working parameters and task progress of the mining equipment;

[0046] A mine data monitoring module, configured to monitor the environmental information, personnel behavior information, and working status of the mining equipment of the mine, identify abnormal information, and synchronize it to the 3D visualization platform for supervision.

[0047] Another embodiment of the present invention provides a mine intelligent monitoring system based on 3D visualization, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, it implements the mine intelligent monitoring method based on 3D visualization described in the above-mentioned embodiment of the invention.

[0048] Another embodiment of the present invention provides a computer-readable storage medium, where the computer-readable storage medium includes a stored computer program. When the computer program runs, it controls the device where the computer-readable storage medium is located to execute the mine intelligent monitoring method based on 3D visualization described in the above-mentioned embodiment of the invention.

[0049] Compared with the prior art, in the embodiments of the present invention, first, a surface model is constructed based on the geological data of the ore body area, and the boundary is filled to obtain a three-dimensional ore body model. Then, a three-dimensional mine model is generated based on the vegetation data and identification data of the mine surface, so as to obtain a visualization model that can be displayed by the platform, making the display of information such as the terrain, vegetation, and ore body distribution of the mine more intuitive and improving the information acquisition efficiency of the manager; by following up the working parameters and task progress of the mining equipment, the three-dimensional mine model is updated at preset time intervals, improving the real-time nature of the data while visualizing the mine; by monitoring the environmental information, personnel behavior information, and working status of the mining equipment in the mine, when abnormal information is identified, it is synchronized to the three-dimensional visualization platform for supervision, realizing the visual management of the mining area environment, mining status, and data information, and improving the mine data management efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 is a schematic flow chart of a three-dimensional visualization-based intelligent mine monitoring method provided by an embodiment of the present invention;

[0051] Figure 2 is a schematic structural diagram of a three-dimensional visualization-based intelligent mine monitoring system provided by an embodiment of the present invention;

[0052] Figure 3 is a schematic structural diagram of a three-dimensional visualization-based intelligent mine monitoring system provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0053] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0054] See Figure 1 , which is a schematic flow chart of a three-dimensional visualization-based intelligent mine monitoring method provided by an embodiment of the present invention, including steps S101 to S104:

[0055] S101. Obtain the geological data of the ore body area, construct a surface model, and perform boundary filling on the surface model to obtain a three-dimensional ore body model;

[0056] S102. Obtain the vegetation data and identification data of the mine surface and mark them in the three-dimensional ore body model to obtain a three-dimensional mine model;

[0057] S103. Update the 3D mine model at preset time intervals according to the working parameters and task progress of the mining equipment, and display it on the 3D visualization platform;

[0058] S104. Monitor the environmental information, personnel behavior information and working status of the mining equipment in the mine, identify abnormal information, and synchronize it to the 3D visualization platform for supervision.

[0059] Specifically, the construction of a digital mine is a typical new field of cross-disciplinary technologies. Due to the uncertainty of the production object (resources), the dynamics of the production process, and the harshness of the production environment in mining enterprises, the digital mine intelligent monitoring method is neither a simple extension of the GIS concept nor a simple replication of the ERP concept of general processing enterprises, but a brand-new architecture that needs to be reconstructed. And 3D visualization plays a key role in the highly informatized, automated, intelligent and efficient and safe mining of mines. Therefore, in this embodiment, the 3D visualization and the mine intelligent monitoring method are integrated, improving the mine management efficiency.

[0060] In this embodiment, preferably, obtaining the geological data of the ore body area, constructing a surface model, and performing boundary filling on the surface model to obtain a 3D ore body model, including:

[0061] Obtain the geological data of the ore body area, where the geological data includes geological maps, borehole data, profile line data, ore seam roof data, ore seam floor data, and fault line data;

[0062] Import the geological data into the model construction platform to construct a surface model;

[0063] According to the profile line data, divide the ore body contour of the surface model to obtain the ore body area and the non-ore body area;

[0064] Perform texture filling on the ore body area;

[0065] Perform reflection filling on the non-ore body area according to the following formula:

[0066] I fill (x,y) = I boundary (x,-y) + (rand 1 (-Pix / 15,Pix / 15) * rand 2 (1,5))

[0067] In the formula, I fill (x,y) is the pixel value of the filled image at the coordinate (x,y), I boundary (x,-y) is the pixel value of the boundary area at the coordinate (x,-y), rand 1(-Pix / 15, Pix / 15) is the first random value, where Pix is the maximum pixel value in the surface model, and rand 2 (1, 5) is a random value between 1 and 5.

[0068] Specifically, in this embodiment, the first random value is based on the maximum pixel value in the model, and the first random perturbation range is limited to the range of (-Pix / 15, Pix / 15), so that the difference in different pixel values within the same non-ore body area will not be too large. Exemplarily, assuming the maximum pixel value is 255, the first random perturbation range is (-17, 17).

[0069] On this basis, this embodiment uses the combination of two random numbers to perturb the reflection filling, optimizing the symmetry problem and improving the richness of the filling in the non-ore body area.

[0070] In this embodiment, preferably, texture filling is performed on the ore body area, including:

[0071] Obtain the display mode and free performance value of the 3D visualization platform;

[0072] Obtain the texture filling result according to the display mode and free performance value.

[0073] Specifically, the display modes of the 3D visualization platform can be divided into three types, such as simple mode, normal mode, and delicate mode, and can also be set according to actual needs. This embodiment does not make specific restrictions.

[0074] Specifically, taking the simple mode, normal mode, and delicate mode as examples, assuming the manager selects the current display mode as the delicate mode, then obtain the display required performance of the model in the delicate mode and the current free performance value of the 3D visualization platform. If the current free performance value is less than the display required performance, the 3D visualization platform pops up a performance insufficient prompt and determines whether the current free performance value is less than the display required performance of the model in the normal mode; if it is still less, the default display is the simple mode; if it is not less, the default display is the normal mode.

[0075] Specifically, the simple mode, normal mode, and delicate mode respectively correspond to different downsampling ratio values d, and the texture filling result can be calculated according to the following formula:

[0076] I downsampled (x′, y′) = (∑ i＝-1 ∑ j＝-1 I original (x i , y j ) * C(x - x i ) * C(y - y j )) 2 / d

[0077] In the formula, I downsampled (x′, y′) is the texture filling function, (x′, y′) is the pixel point after downsampling, I original (x i , y j ) is the corresponding function of the original image, (x, y) is the pixel point of the original image, C is the bicubic interpolation kernel function, x i = x + i - 1, y j = y + j - 1, where i and j are integers greater than 0, d is the downsampling ratio value, where d corresponding to the fine mode is 1, d corresponding to the normal mode is greater than 1, and d corresponding to the simple mode is greater than the value of d corresponding to the normal mode.

[0078] In this embodiment, preferably, vegetation data and identification data of the mine surface are obtained and marked in the three-dimensional ore body model to obtain a three-dimensional mine model, including:

[0079] Obtain the vegetation data of the mine surface through remote sensing data, where the vegetation data includes vegetation type, height, and coverage area;

[0080] Generate a three-dimensional vegetation model corresponding to the vegetation data;

[0081] Align the coordinates and fuse the models of the three-dimensional vegetation model and the three-dimensional ore body model to obtain a vegetation-ore body three-dimensional model;

[0082] Obtain the identification data from the preset warning database, where the identification data includes identification signs and waste rock areas;

[0083] Mark the identification signs and waste rock areas in the vegetation-ore body three-dimensional model to obtain a three-dimensional mine model.

[0084] Specifically, in order to improve the loading efficiency, and the main elements of concern for vegetation are vegetation type, coverage area, and illumination area, so the three-dimensional vegetation model can be simplified to a cuboid with only length, width, and height.

[0085] Specifically, if the mining area is located in an alpine region, Baiyang grass, Huangbei grass, Cleistogenes spp., Stipa purpurea, Artemisia desertorum, Caragana spp., Sophora moorcroftiana, Artemisia gracilescens, etc. can be preferentially selected for greening, or suitable grass seeds for alpine environments such as Elymus nutans and old wheat awns can also be selected. In the production area, cold-resistant grass seeds can be planted to "fill in the greenery wherever possible"; in the living area, vegetation such as Salix cupularis / Pinus densata - Rhododendron asterochnoum / Rhododendron nivale - Caragana spp. / old wheat awns can be planted to build a three-dimensional ecological landscape belt combining arbors, shrubs, and meadows; in the main and auxiliary shaft winder houses, air compressor rooms, etc., tree species such as Pinus densata and Salix cupularis can be planted to reduce production noise; outside the boundary of the mine industrial site and near the mine access road, a certain amount of arbors and grass seeds can be densely planted.

[0086] Based on this planting, the positions, areas, and height differences of various types of vegetation can be seen through the simplified three-dimensional vegetation model, so as to determine whether the lighting of the vegetation is sufficient.

[0087] Exemplarily, when there is short vegetation surrounded by tall vegetation, the information can be synchronized to the three-dimensional visualization platform for the manager to determine whether it is necessary to adjust the vegetation planting type or planting range, etc.

[0088] Specifically, the above signs may include underground workplace signs, such as: "Prohibited from taking up post after drinking alcohol", "Prohibited from smoking", "Must wear work clothes", "Must wear safety helmets", "Must wear gloves", "Must fasten safety belts for working at heights", "Must wear dust masks", "Must work with certificates", etc.; they may also include industrial site signs, such as: "Authorized personnel only in the power distribution area", "Authorized personnel only in the workshop area", etc., which are not specifically limited in this embodiment.

[0089] Specifically, the waste rock area refers to the waste rock stacking yard for placing waste soil, waste slag, etc. generated after mining.

[0090] In this embodiment, preferably, according to the working parameters and task progress of the mining equipment, the three-dimensional model of the mine is updated at a preset time interval and displayed in the three-dimensional visualization platform, including:

[0091] Calculate the tunneling size and tunneling path of the mining equipment according to the working parameters and task progress of the mining equipment, as well as the tunneling progress of the mining equipment at different times;

[0092] Obtain the size and contour of the tunneling tunnel according to the tunneling size, tunneling path, and tunneling progress of the mining equipment;

[0093] Update the three-dimensional model of the mine according to the size and contour of the tunneling tunnel and display it in the three-dimensional visualization platform.

[0094] Specifically, in the mine intelligent monitoring method based on three-dimensional visualization provided in this embodiment, the model prediction method can be used to calculate the tunneling size, tunneling path, and tunneling progress of the mining equipment according to the working parameters and task progress of the mining equipment, so as to determine the size and contour of the tunneling tunnel and update the corresponding model.

[0095] Furthermore, in order to improve the accuracy of model prediction, the calculation results can be sampled and verified, that is, collect the on-site data at the moment when the three-dimensional model of the mine is updated, and generate a verification model according to the on-site data; compare the verification model with the updated three-dimensional model of the mine. If the deviation is less than the preset threshold, it is determined that the model prediction is accurate; if the deviation is not less than the preset threshold, it is determined that the model prediction is incorrect. At this time, the update needs to be paused and the prediction model needs to be retrained to improve the accuracy of three-dimensional visualization.

[0096] In this embodiment, preferably, displaying in a three-dimensional visualization platform includes:

[0097] Identify the default perspective and perspective switching instructions of the 3D visualization platform;

[0098] The three-dimensional model of the mine is divided into an initial visible area and an initial non-visible area based on a default viewing angle. When in the default viewing angle, the model data of the initial visible area is loaded, and the model data of the initial non-visible area is unloaded;

[0099] When a view angle switching instruction is received, a second visible area and a second non-visible area corresponding to the switched view angle are calculated;

[0100] Calculating a visual difference set between the second visual area and the initial visual area, and dynamically loading the visual difference set;

[0101] A non-visual difference set between the second non-visible area and the initial non-visible area is calculated, and the non-visual difference set is dynamically unloaded.

[0102] Specifically, when in the default viewing angle, loading the model data of the initial visible area and unloading the model data of the initial non-visible area can save resources, reduce unnecessary data processing and transmission, save computing resources and bandwidth, and can also load quickly, reduce waiting time, and improve data management efficiency.

[0103] Specifically, when a perspective switching instruction is received, the second visible area and the second non-visible area corresponding to the switched perspective are calculated, and data loading can be dynamically adjusted according to the administrator's perspective changes to maintain the smoothness and real-time performance of the three-dimensional model screen.

[0104] Specifically, through the parallax set, the parallax set is dynamically loaded and the non-parallax set is dynamically unloaded, which can avoid repeated loading of rendered areas, improve the accuracy and efficiency of data loading, ensure that the manager can immediately see the new visible area after switching the perspective, and enhance the interactivity of the three-dimensional model; and can promptly unload unnecessary model data to free up memory space and maintain platform performance.

[0105] In this embodiment, preferably, the environmental information, personnel behavior information and working status of the mining equipment in the mine are monitored, abnormal information is identified, and synchronized to the three-dimensional visualization platform for supervision, including:

[0106] Monitor environmental information, including vegetation change status and fire occurrence;

[0107] Monitor personnel behavior information, including waste rock stacking behavior, smoking behavior, drinking behavior and clothing conditions;

[0108] Monitor the working status of mining equipment, where the working status of mining equipment includes working, shutdown, and partial damage;

[0109] When it is recognized that the environmental information, personnel behavior information, and working status of mining equipment are abnormal, synchronize them to the 3D visualization platform, and the 3D visualization platform issues an alarm.

[0110] Specifically, environmental information can be monitored through remote sensing images or cameras in the mine. When the vegetation changes abnormally or there is a fire, immediately synchronize the abnormal information to the 3D visualization platform.

[0111] Specifically, personnel behavior information can be monitored by cameras in the site. When it is recognized that personnel appear in areas other than the waste rock stacking yard and randomly pile up waste soil and slag, smoke or drink illegally, or enter the site without wearing safety measures as required, face recognition can be performed through the camera, and the illegal portrait, personnel name, and illegal behavior are synchronized to the 3D visualization platform together.

[0112] Specifically, the working status of mining equipment can be collected through the equipment monitoring platform. When the mining equipment starts automatically when not in operation, stops working automatically during operation, or some parameters are abnormal, the above abnormal situations can also be synchronized to the 3D visualization platform.

[0113] Based on the above steps, the administrator can perform corresponding anomaly repairs according to the alarm information in the 3D visualization platform, avoiding noise information, improving the efficiency of obtaining key information, and thus improving the management efficiency and intuitiveness of the mine.

[0114] In summary, in the embodiment of the present invention, first, a surface model is constructed through the geological data of the ore body area, and the ore body 3D model is obtained by boundary filling. Then, the mine 3D model is generated through the vegetation data and identification data on the mine surface, so as to obtain a visualization model that can be displayed by the platform, making the display of information such as the terrain, vegetation, and ore body distribution of the mine more intuitive and improving the information acquisition efficiency of managers; by following up the working parameters and task progress of mining equipment, the mine 3D model is updated at preset time intervals, improving the real-time nature of data while visualizing the mine; by monitoring the environmental information, personnel behavior information, and working status of the mine, and synchronizing the abnormal information to the 3D visualization platform for supervision when it is recognized, the visualization management of the mining area environment, mining status, and data information is realized, improving the mine data management efficiency.

[0115] See Figure 2 , which is a schematic structural diagram of a mine intelligent monitoring system based on 3D visualization provided by the embodiment of the present invention, including:

[0116] The ore body model construction module 201 is used to obtain the geological data of the ore body area, construct a surface model, and perform boundary filling on the surface model to obtain a three-dimensional ore body model;

[0117] The mine model construction module 202 is used to obtain the vegetation data and identification data of the mine surface and mark them on the three-dimensional ore body model to obtain a three-dimensional mine model;

[0118] The three-dimensional visualization platform 203 is used to display the updated three-dimensional mine model after the mine model construction module 202 updates the three-dimensional mine model at preset time intervals according to the working parameters and task progress of the mining equipment;

[0119] The mine data monitoring module 204 is used to monitor the environmental information, personnel behavior information and working status of the mining equipment in the mine, identify abnormal information, and synchronize it to the three-dimensional visualization platform 203 for supervision.

[0120] Further, obtaining the geological data of the ore body area, constructing a surface model, and performing boundary filling on the surface model to obtain a three-dimensional ore body model includes:

[0121] Obtaining the geological data of the ore body area, where the geological data includes geological maps, borehole data, profile line data, ore seam roof data, ore seam floor data and fault line data;

[0122] Importing the geological data into the model construction platform to construct a surface model;

[0123] Dividing the ore body contour of the surface model according to the profile line data to obtain the ore body area and the non-ore body area;

[0124] Performing texture filling on the ore body area;

[0125] Performing reflection filling on the non-ore body area according to the following formula:

[0126] I fill (x,y) = I boundary (x,-y)+(rand 1 (-Pix / 15,Pix / 15)*rand 2 (1,5))

[0127] In the formula, I fill (x,y) is the pixel value of the filled image at the coordinate (x,y), I boundary (x,-y) is the pixel value of the boundary area at the coordinate (x,-y), rand 1 (-Pix / 15,Pix / 15) is the first random value, Pix is the maximum pixel value in the surface model, rand 2 (1,5) is a random value between 1 and 5.

[0128] Further, perform texture filling on the ore body area, including:

[0129] Obtain the display mode and remaining performance value of the 3D visualization platform 203;

[0130] Obtain the texture filling result based on the display mode and remaining performance value.

[0131] Further, obtain the vegetation data and identification data of the mine surface and mark them on the 3D ore body model to obtain the 3D mine model, including:

[0132] Obtain the vegetation data of the mine surface through remote sensing data, where the vegetation data includes vegetation type, height, and coverage area;

[0133] Generate a 3D vegetation model corresponding to the vegetation data;

[0134] Align the coordinates and fuse the models of the 3D vegetation model and the 3D ore body model to obtain a vegetation-ore body 3D model;

[0135] Obtain the identification data from the preset warning database, where the identification data includes identification signs and waste rock areas;

[0136] Mark the identification signs and waste rock areas on the vegetation-ore body 3D model to obtain the 3D mine model.

[0137] Further, update the 3D mine model at preset time intervals according to the working parameters and task progress of the mining equipment and display it on the 3D visualization platform 203, including:

[0138] Calculate the tunneling size and tunneling path of the mining equipment, as well as the tunneling progress of the mining equipment at different times, according to the working parameters and task progress of the mining equipment;

[0139] Obtain the size and contour of the tunneling tunnel according to the tunneling size, tunneling path, and tunneling progress of the mining equipment;

[0140] Update the 3D mine model according to the size and contour of the tunneling tunnel and display it on the 3D visualization platform 203.

[0141] Further, display on the 3D visualization platform 203, including:

[0142] Identify the default view and view switching instructions of the 3D visualization platform 203;

[0143] Based on the default view, divide the initial visible area and initial non-visible area of the 3D mine model. When in the default view, load the model data of the initial visible area and unload the model data of the initial non-visible area;

[0144] When a view switching instruction is received, calculate a second visible area and a second non-visible area corresponding to the switched view;

[0145] Calculate the visible difference set between the second visible area and the initial visible area, and perform dynamic loading on the visible difference set;

[0146] Calculate the non-visible difference set between the second non-visible area and the initial non-visible area, and perform dynamic unloading on the non-visible difference set.

[0147] Furthermore, monitor the environmental information of the mine, the behavior information of personnel, and the working status of mining equipment, identify abnormal information, and synchronize it to the 3D visualization platform 203 for supervision, including:

[0148] Monitor environmental information, where the environmental information includes the vegetation change status and the occurrence of fires;

[0149] Monitor personnel behavior information, where the personnel behavior information includes waste rock stacking behavior, smoking behavior, drinking behavior, and wearing conditions;

[0150] Monitor the working status of mining equipment, where the working status of mining equipment includes working, shutdown, and partial damage;

[0151] When abnormal conditions are identified in the environmental information, personnel behavior information, and working status of mining equipment, synchronize them to the 3D visualization platform 203, and the 3D visualization platform 203 issues an alarm.

[0152] In summary, in the embodiment of the present invention, first construct a surface model through the geological data of the ore body area, and obtain a 3D ore body model through boundary filling. Then generate a 3D mine model through the vegetation data and identification data on the mine surface, so as to obtain a visualization model that can be displayed by the platform, making the display of information such as the terrain, vegetation, and ore body distribution of the mine more intuitive and improving the information acquisition efficiency of managers; by following up the working parameters and task progress of mining equipment, the 3D mine model is updated at preset time intervals, improving the real-time nature of data while visualizing the mine; by monitoring the environmental information of the mine, the behavior information of personnel, and the working status of mining equipment, and synchronizing to the 3D visualization platform for supervision when abnormal information is identified, the visualization management of the mining area environment, mining status, and data information is realized, improving the mine data management efficiency.

[0153] See Figure 3, which is a schematic diagram of a mine intelligent monitoring system based on three-dimensional visualization provided by an embodiment of the present invention. The mine intelligent monitoring system based on three-dimensional visualization in this embodiment includes: a processor 1, a memory 2, and a computer program stored in the memory 2 and executable on the processor, such as a mine monitoring and management program based on three-dimensional visualization. When the processor 1 executes the computer program, it implements the steps in each of the above embodiments of the mine intelligent monitoring method based on three-dimensional visualization. Alternatively, when the processor 1 executes the computer program, it implements the functions of each module / unit in each of the above device embodiments.

[0154] Exemplarily, the computer program can be divided into one or more modules / units. One or more modules / units are stored in the memory and executed by the processor to complete the present invention. One or more modules / units can be a series of computer program instruction segments capable of performing specific functions, and these instruction segments are used to describe the execution process of the computer program in the mine intelligent monitoring system based on three-dimensional visualization.

[0155] The mine intelligent monitoring system based on three-dimensional visualization may include, but is not limited to, a processor and a memory. Those skilled in the art can understand that the schematic diagram is only an example of the mine intelligent monitoring system based on three-dimensional visualization, and does not constitute a limitation on the mine intelligent monitoring system based on three-dimensional visualization. It may include more or fewer components than shown in the figure, or combine some components, or different components. For example, the mine intelligent monitoring system based on three-dimensional visualization may also include input / output devices, network access devices, CAN buses, etc.

[0156] The embodiment of the present invention correspondingly provides a computer-readable storage medium, which is characterized in that the computer-readable storage medium includes a stored computer program, and when the computer program runs, it controls the device where the computer-readable storage medium is located to execute the mine intelligent monitoring method based on three-dimensional visualization as in Embodiment 1 of the present invention.

[0157] The processor can be a Central Processing Unit (CPU), or other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field-Programmable Gate Arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor, etc. The processor is the control center of the 3D visualization-based mine intelligent monitoring system, and connects various parts of the entire 3D visualization-based mine intelligent monitoring system through various interfaces and circuits.

[0158] The memory can be used to store computer programs and / or modules. By running or executing the computer programs and / or modules stored in the memory, and calling the data stored in the memory, the processor realizes various functions of the 3D visualization-based mine intelligent monitoring system. The memory mainly includes a program storage area and a data storage area. Among them, the program storage area can store an operating system, application programs required for at least one function (such as a sound playback function, an image playback function, etc.); the data storage area can store data created according to the use of the mobile phone (such as audio data, phone book, etc.). In addition, the memory can include high-speed random access memory, and can also include non-volatile memory, such as hard disks, memory, plug-in hard disks, Smart Media Cards (SMCs), Secure Digital (SD) cards, Flash Cards, at least one magnetic disk storage device, flash memory device, or other volatile solid-state storage devices.

[0159] Among them, if the modules / units integrated in the mine intelligent monitoring system based on 3D visualization are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on such an understanding, to implement all or part of the processes in the above-mentioned embodiment methods of the present invention, it can also be completed by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by a processor, the steps of the above-mentioned various method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in the form of source code, object code, executable file or some intermediate form, etc. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disc, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electrical carrier signal, telecommunication signal, and software distribution medium, etc. It should be noted that the content included in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, the computer-readable medium does not include electrical carrier signals and telecommunication signals.

[0160] It should be noted that the device embodiments described above are only illustrative. 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 to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. In addition, in the attached drawings of the device embodiments provided by the present invention, the connection relationship between the modules indicates that they have a communication connection, which can be specifically implemented as one or more communication buses or signal lines. Those of ordinary skill in the art can understand and implement it without creative efforts.

[0161] The above are the preferred embodiments of the present invention. It should be pointed out that for those of ordinary skill in the art in this technical field, without departing from the principle of the present invention, several improvements and refinements can be made, and these improvements and refinements are also regarded as the protection scope of the present invention.

Claims

1. A mine intelligent monitoring method based on three-dimensional visualization, characterized in that: include: Acquire geological data of the ore body area, construct a surface model, and fill the boundaries of the surface model to obtain a three-dimensional model of the ore body; Obtaining vegetation data and identification data on the surface of the mine, and marking them in the three-dimensional model of the ore body to obtain a three-dimensional model of the mine; According to the working parameters of the mining equipment and the task progress, the three-dimensional model of the mine is updated at a preset time interval and displayed in the three-dimensional visualization platform; Monitor the mine's environmental information, personnel behavior information, and the working status of the mining equipment, identify abnormal information, and synchronize it to the three-dimensional visualization platform for supervision; The step of acquiring geological data of the ore body area, constructing a surface model, and filling the boundaries of the surface model to obtain a three-dimensional model of the ore body includes: Acquire geological data of the ore body area, wherein the geological data includes geological maps, drilling data, profile data, ore layer roof data, ore layer floor data and fault line data; Importing the geological data into a model building platform to build the surface model; Divide the surface model into ore body contours according to the profile line data to obtain ore body areas and non-ore body areas; Performing texture filling on the ore body area; The non-ore body area is reflectively filled according to the following formula: I fill (x,y)=I boundary (x,-y)+(rand1(-Pix / 15,Pix / 15)*rand2(1,5)) In the formula, I fill (x, y) is the pixel value of the filled image at the coordinate (x, y), I boundary (x, -y) is the pixel value of the boundary area at the coordinate (x, -y), rand1(-Pix / 15, Pix / 15) is the first random value, Pix is ​​the maximum pixel value in the surface model, and rand2(1,5) is a random value between 1 and 5.

2. The intelligent mine monitoring method based on three-dimensional visualization according to claim 1, characterized in that: The step of performing texture filling on the ore body region comprises: Obtaining a display mode and a spare performance value of the three-dimensional visualization platform; The texture filling result is obtained according to the display mode and the free performance value.

3. The intelligent mine monitoring method based on three-dimensional visualization according to claim 1 is characterized in that: The obtaining of vegetation data and identification data on the mine surface and marking them in the ore body three-dimensional model to obtain the mine three-dimensional model includes: Acquiring vegetation data on the mine surface through remote sensing data, wherein the vegetation data includes vegetation type, height and coverage area; Generating a three-dimensional vegetation model corresponding to the vegetation data; Coordinate alignment and model fusion of the vegetation three-dimensional model and the ore body three-dimensional model to obtain a vegetation-ore body three-dimensional model; Acquire identification data from a preset early warning database, wherein the identification data includes identification signs and waste rock areas; The identification plate and waste rock area are marked in the vegetation-ore body three-dimensional model to obtain the mine three-dimensional model.

4. The intelligent mine monitoring method based on three-dimensional visualization according to claim 1, characterized in that: The method of updating the three-dimensional mine model according to the working parameters and task progress of the mining equipment at a preset time interval and displaying it on the three-dimensional visualization platform includes: Calculating the excavation size and excavation path of the mining equipment, as well as the excavation progress of the mining equipment at different times according to the working parameters and task progress of the mining equipment; Obtaining the size and profile of the excavation tunnel according to the excavation size, excavation path and excavation progress of the mining equipment; According to the size and outline of the excavation tunnel, the three-dimensional model of the mine is updated and displayed in a three-dimensional visualization platform.

5. The intelligent mine monitoring method based on three-dimensional visualization according to claim 1, characterized in that: The display in the three-dimensional visualization platform includes: Identifying a default viewing angle and a viewing angle switching instruction of the three-dimensional visualization platform; Dividing the three-dimensional mine model into an initial visible area and an initial non-visible area based on the default viewing angle, and when in the default viewing angle, loading the model data of the initial visible area and unloading the model data of the initial non-visible area; When a view angle switching instruction is received, a second visible area and a second non-visible area corresponding to the switched view angle are calculated; Calculating a visual difference set between the second visual area and the initial visual area, and dynamically loading the visual difference set; A non-visual difference set between the second non-visible area and the initial non-visible area is calculated, and the non-visual difference set is dynamically unloaded.

6. The intelligent mine monitoring method based on three-dimensional visualization according to claim 1, characterized in that: The monitoring of the mine's environmental information, personnel behavior information and the working status of the mining equipment, identifying abnormal information, and synchronizing to the three-dimensional visualization platform for supervision includes: Monitoring the environmental information, wherein the environmental information includes vegetation change status and fire occurrence status; Monitoring personnel behavior information, wherein the personnel behavior information includes waste rock stacking behavior, smoking behavior, drinking behavior and clothing conditions; Monitoring the working status of the mining equipment, wherein the working status of the mining equipment includes working, stopping and partial damage; When it is identified that the environmental information, the personnel behavior information and the working status of the mining equipment are abnormal, they are synchronized to the three-dimensional visualization platform, and the three-dimensional visualization platform issues an alarm.

7. A mine intelligent monitoring system based on three-dimensional visualization, characterized in that: include: The ore body model building module is used to obtain geological data of the ore body area, build a surface model, and fill the boundaries of the surface model to obtain a three-dimensional model of the ore body; A mine model building module is used to obtain vegetation data and identification data on the mine surface, and mark them in the three-dimensional model of the ore body to obtain a three-dimensional mine model; A three-dimensional visualization platform, used for displaying the updated three-dimensional mine model after the mine model building module updates the three-dimensional mine model at preset time intervals according to the working parameters and task progress of the mining equipment; A mine data monitoring module, which is used to monitor the mine's environmental information, personnel behavior information and the working status of the mining equipment, identify abnormal information, and synchronize it to the three-dimensional visualization platform for supervision; The step of acquiring geological data of the ore body area, constructing a surface model, and filling the boundaries of the surface model to obtain a three-dimensional model of the ore body includes: Acquire geological data of the ore body area, wherein the geological data includes geological maps, drilling data, profile data, ore layer roof data, ore layer floor data and fault line data; Importing the geological data into a model building platform to build the surface model; Divide the surface model into ore body contours according to the profile line data to obtain ore body areas and non-ore body areas; Performing texture filling on the ore body area; The non-ore body area is reflectively filled according to the following formula: I fill (x,y)=I boundary (x,-y)+(rand1(-Pix / 15,Pix / 15)*rand2(1,5)) In the formula, I fill (x, y) is the pixel value of the filled image at the coordinate (x, y), I boundary (x, -y) is the pixel value of the boundary area at the coordinate (x, -y), rand1(-Pix / 15, Pix / 15) is the first random value, Pix is ​​the maximum pixel value in the surface model, and rand2(1,5) is a random value between 1 and 5.

8. A mine intelligent monitoring system based on three-dimensional visualization, characterized in that: It comprises a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and when the processor executes the computer program, it implements a three-dimensional visualization-based intelligent mine monitoring method as described in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute the three-dimensional visualization-based intelligent mine monitoring method according to any one of claims 1 to 6.

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