Intelligent mine monitoring method and system based on three-dimensional visualization

Abstract

The invention discloses an intelligent mine monitoring method and system based on three-dimensional visualization, and the method comprises the steps: obtaining the geological data of an ore body region, constructing a surface model, and carrying out the boundary filling of the surface model, and obtaining an ore body three-dimensional model; vegetation data and identification data of the mine surface are obtained and marked in the ore body three-dimensional model, and a mine three-dimensional model is obtained; according to the working parameters and the task process of the mining equipment, updating the mine three-dimensional model according to a preset time interval, and displaying the mine three-dimensional model in a three-dimensional visual platform; and monitoring environment information of a mine, personnel behavior information and a working state of mining equipment, identifying abnormal information, and synchronizing the abnormal information to the three-dimensional visual platform for supervision. According to the invention, visual management can be carried out on the mining area environment, the mining state and the data information, so that the mine data management efficiency and intuition are improved.

Description

Technical Field

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

[0002] 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 mining area and surrounding ecological environment within a controllable range, and realizes the ecological environment of the mining area, scientific mining methods, efficient resource utilization, digital management information and harmonious mining community. However, the existing green mine monitoring methods cannot visualize the monitoring results, and require manual data processing at a later stage. The monitoring results cannot be displayed intuitively, and the efficiency of mine monitoring data management is low.

[0003] Therefore, there is a need for an intelligent mine monitoring and management method to visualize the mining environment, mining status and data information to improve the efficiency and intuitiveness of mine data management. Summary of the invention

[0004] The embodiment of the present invention provides a three-dimensional visualization-based intelligent mine monitoring method and system, which can visualize the mine environment, mining status and data information to improve the efficiency and intuitiveness of mine data management.

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

[0006] 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;

[0007] 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;

[0008] 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;

[0009] 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.

[0010] As an improvement of the above solution, the geological data of the ore body area is obtained, a surface model is constructed, and the boundary of the surface model is filled to obtain a three-dimensional model of the ore body, including:

[0011] 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;

[0012] Importing the geological data into a model building platform to build the surface model;

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

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

[0015] The non-ore body area is reflectively filled according to the following formula:

[0016] I fill (x,y)=I boundary (x,-y)+(rand1(-Pix / 15,Pix / 15)*rand2(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), 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.

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

[0019] Obtaining a display mode and a spare performance value of the three-dimensional visualization platform;

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

[0021] As an improvement of the above solution, the vegetation data and identification data on the mine surface are obtained and marked in the ore body three-dimensional model to obtain the mine three-dimensional model, including:

[0022] Acquiring vegetation data on the mine surface through remote sensing data, wherein the vegetation data includes vegetation type, height and coverage area;

[0023] Generating a three-dimensional vegetation model corresponding to the vegetation data;

[0024] 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;

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

[0026] The identification plate and waste rock area are marked in the vegetation-ore body three-dimensional model to obtain the mine three-dimensional model.

[0027] As an improvement of the above solution, the three-dimensional mine model is updated at preset time intervals according to the working parameters and task progress of the mining equipment, and displayed on the three-dimensional visualization platform, including:

[0028] 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;

[0029] Obtaining the size and profile of the excavation tunnel according to the excavation size, excavation path and excavation progress of the mining equipment;

[0030] 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.

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

[0032] Identifying a default viewing angle and a viewing angle switching instruction of the three-dimensional visualization platform;

[0033] 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;

[0034] 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;

[0035] Calculating a visual difference set between the second visual area and the initial visual area, and dynamically loading the visual difference set;

[0036] 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.

[0037] As an improvement of the above solution, the environmental information of the mine, the behavior information of personnel and the working status of the mining equipment are monitored, abnormal information is identified, and synchronized to the three-dimensional visualization platform for supervision, including:

[0038] Monitoring the environmental information, wherein the environmental information includes vegetation change status and fire occurrence status;

[0039] Monitoring personnel behavior information, wherein the personnel behavior information includes waste rock stacking behavior, smoking behavior, drinking behavior and clothing conditions;

[0040] Monitoring the working status of the mining equipment, wherein the working status of the mining equipment includes working, stopping and partial damage;

[0041] 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.

[0042] Another embodiment of the present invention provides a mine intelligent monitoring system based on three-dimensional visualization, including:

[0043] 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;

[0044] 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;

[0045] 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;

[0046] The mine data monitoring module 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.

[0047] Another embodiment of the present invention provides a three-dimensional visualization-based intelligent mine monitoring system, 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 three-dimensional visualization-based intelligent mine monitoring method described in the above-mentioned embodiment of the invention.

[0048] Another embodiment of the present invention provides a computer-readable storage medium, which 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 as described in the above-mentioned embodiment of the invention.

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

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

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

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

[0053] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

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

[0055] S101, obtaining 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;

[0056] S102, obtaining 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;

[0057] S103, updating the three-dimensional model of the mine at preset time intervals according to the working parameters of the mining equipment and the task progress, and displaying it on the three-dimensional visualization platform;

[0058] S104. Monitor the mine's environmental information, personnel behavior information, and the working status of mining equipment, identify abnormal information, and synchronize it to the three-dimensional visualization platform for supervision.

[0059] Specifically, digital mine construction is a typical new field of multidisciplinary technology intersection. Since mining enterprises generally have uncertainty in production objects (resources), dynamic production processes, and harsh production environments, digital mine smart monitoring methods are neither a simple extension of the GIS concept nor a simple copy of the ERP concept of general processing enterprises, but a brand-new architecture that needs to be rebuilt. Three-dimensional visualization plays a key role in the high informatization, automation, intelligence, and efficient and safe mining of mines. Therefore, this embodiment integrates three-dimensional visualization and mine smart monitoring methods to improve mine management efficiency.

[0060] In this embodiment, preferably, geological data of the ore body area is obtained, a surface model is constructed, and the boundary of the surface model is filled to obtain a three-dimensional model of the ore body, including:

[0061] 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;

[0062] Import geological data into the model building platform to build a surface model;

[0063] Divide the surface model into ore body contours according to the profile data to obtain ore body areas and non-ore body areas;

[0064] Texture filling of ore body areas;

[0065] For non-ore body areas, reflection filling is performed according to the following formula:

[0066] I fill (x,y)=I boundary (x,-y)+(rand1(-Pix / 15,Pix / 15)*rand2(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), 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.

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

[0069] On this basis, this embodiment uses a combination of double random numbers to perturb the reflection filling, optimizes the symmetry problem, and improves 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 spare performance value of the 3D visualization platform;

[0072] The texture filling result is obtained according to the display mode and the available performance value.

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

[0074] Specifically, taking simple mode, normal mode and refined mode as examples, assuming that the administrator selects the refined mode as the current display mode, the display requirement performance of the model in the refined mode and the current free performance value of the three-dimensional visualization platform are obtained. If the current free performance value is less than the display requirement performance, the three-dimensional visualization platform pops up a performance shortage prompt and determines whether the current free performance value is less than the display requirement performance of the model in the normal mode; if it is still less than, the default display is simple mode; if not less than, the default display is normal mode.

[0075] Specifically, the simple mode, normal mode and refined mode 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(xx i )*C(yy j )) 2 / d

[0077] In the formula, I downsampled (x′, y′) is the texture filling function, (x′, y′) is the pixel after downsampling, I original(x i ,y j ) is the original image corresponding function, (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, i and j are integers greater than 0 respectively, d is the downsampling ratio value, wherein d corresponding to the refined 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, the vegetation data and identification data on the mine surface are obtained and marked in the ore body three-dimensional model to obtain the mine three-dimensional model, including:

[0079] Obtaining vegetation data on 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] Coordinate alignment and model fusion of the vegetation 3D model and the ore body 3D model are performed to obtain a vegetation-ore body 3D model;

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

[0083] The identification plates and waste rock areas are marked in the vegetation-ore body three-dimensional model to obtain a three-dimensional mine model.

[0084] Specifically, in order to improve loading efficiency, and because the main elements of vegetation are vegetation type, coverage area, and illumination area, 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 a high-altitude cold zone, greening can give priority to plant varieties such as white lily, yellow-backed grass and cleistogenes, purple-flowered needlegrass, wormwood, caragana, sand-growing locust, and small white wormwood. Grass species suitable for high-altitude cold environments such as drooping spike alkali grass and old wheat awn can also be selected. In the production area, cold-resistant grass species can be planted wherever there is space; in the living area, vegetation such as alpine willow / alpine pine-strawberry azalea / snow layer azalea-caragana / old wheat awn can be planted to build a three-dimensional ecological landscape belt combining trees, shrubs, and meadows; tree species such as alpine pine and alpine willow are planted in the main and auxiliary shaft winch rooms, wind pressure machine rooms, etc. to reduce production noise; outside the boundary of the mine industrial site, a certain amount of trees and grass seeds are densely planted near the access road.

[0086] On this planting basis, the simplified three-dimensional vegetation model can be used to see the position, area and height difference of various types of vegetation, so as to determine whether the vegetation has sufficient light.

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

[0088] Specifically, the above-mentioned signboards may include signs for underground workplaces, such as: "No drinking at work", "No smoking", "Must wear work clothes", "Must wear safety helmets", "Must wear gloves", "Must wear safety belts when working at heights", "Must wear dust masks", "Must hold a certificate to work", etc.; they may also include signs for industrial sites, such as: "No entry for unauthorized persons in power distribution areas", "No entry for unauthorized persons in workshops", etc., which are not specifically limited in this embodiment.

[0089] Specifically, the waste rock area refers to a waste rock dump site used to store abandoned soil and slag generated after mining.

[0090] In this embodiment, preferably, 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, including:

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

[0092] The size and contour of the excavation tunnel are obtained according to the excavation size, excavation path and excavation progress of the mining equipment;

[0093] The 3D model of the mine is updated based on the dimensions and contours of the tunnel being driven and displayed on a 3D visualization platform.

[0094] Specifically, in the intelligent mine monitoring method based on three-dimensional visualization provided in this embodiment, a model prediction method can be used to calculate the excavation size, excavation path and excavation progress of the mining equipment according to the working parameters and task progress of the mining equipment, thereby determining the size and outline of the excavation tunnel and updating the corresponding model.

[0095] Furthermore, in order to improve the accuracy of model prediction, the calculation results can be sampled and verified, that is, field data at the time of updating the three-dimensional model of the mine is collected, and a verification model is generated based on the field data; the verification model and the updated three-dimensional model of the mine are compared. If the deviation is less than a preset threshold, the model prediction is judged to be accurate; if the deviation is not less than the preset threshold, the model prediction is judged to be wrong. At this time, it is necessary to pause the update and retrain the prediction model 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, downtime and partial damage;

[0109] When abnormalities are detected in environmental information, personnel behavior information and the working status of mining equipment, they are synchronized to the 3D visualization platform, which then issues an alarm.

[0110] Specifically, environmental information can be monitored through remote sensing images or cameras in mines. When vegetation changes abnormally or a fire occurs, the abnormal information can be immediately synchronized to the three-dimensional visualization platform.

[0111] Specifically, the behavior information of personnel can be monitored by cameras in the site. When it is identified that personnel appear in areas other than the waste rock dump and randomly dump soil and slag, smoke or drink illegally, or enter the site without wearing safety measures as required, facial recognition can be performed through the camera, and the offending person's portrait, name, and illegal behavior can be synchronized to the three-dimensional visualization platform.

[0112] Specifically, the working status of the mining equipment can be collected through the equipment monitoring platform. When the mining equipment starts automatically when it is not in operation, stops automatically when working, or some parameters are abnormal, the above abnormal conditions can also be synchronized to the three-dimensional visualization platform.

[0113] Based on the above steps, the administrator can perform corresponding abnormal repairs according to the alarm information obtained 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, a surface model is first constructed through the geological data of the ore body area, and the boundaries are filled to obtain a three-dimensional model of the ore body, and then a three-dimensional model of the mine is generated through the vegetation data and identification data on the mine surface, thereby obtaining a visualization model that can be displayed by the platform, so that the display of information such as the mine's terrain, vegetation, and ore body distribution is more intuitive, thereby improving the information acquisition efficiency of managers; by following up on the working parameters and task progress of the mining equipment, the three-dimensional model of the mine is updated at preset time intervals, thereby improving the real-time nature of the data while visualizing the mine; by monitoring the environmental information, personnel behavior information, and the 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, thereby realizing the visualization management of the mining environment, mining status, and data information, thereby improving the efficiency of mine data management.

[0115] See also Figure 2 , is a schematic diagram of the structure of a mine intelligent monitoring system based on three-dimensional visualization provided by an embodiment of the present invention, including:

[0116] The ore body model building module 201 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;

[0117] A mine model building module 202 is used to obtain vegetation data and identification data on the mine surface, and mark them in the ore body three-dimensional model to obtain a mine three-dimensional model;

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

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

[0120] Furthermore, geological data of the ore body area is obtained, a surface model is constructed, and the boundaries of the surface model are filled to obtain a three-dimensional model of the ore body, including:

[0121] 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;

[0122] Import geological data into the model building platform to build a surface model;

[0123] Divide the surface model into ore body contours according to the profile data to obtain ore body areas and non-ore body areas;

[0124] Texture filling of ore body areas;

[0125] For non-ore body areas, reflection filling is performed according to the following formula:

[0126] I fill (x,y)=I boundary (x,-y)+(rand1(-Pix / 15,Pix / 15)*rand2(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), 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.

[0128] Furthermore, the ore body area is texture filled, including:

[0129] Obtaining a display mode and a free performance value of the three-dimensional visualization platform 203;

[0130] The texture filling result is obtained according to the display mode and the available performance value.

[0131] Furthermore, the vegetation data and identification data on the mine surface are obtained and marked in the ore body three-dimensional model to obtain the mine three-dimensional model, including:

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

[0133] Generate a three-dimensional vegetation model corresponding to the vegetation data;

[0134] Coordinate alignment and model fusion of the vegetation 3D model and the ore body 3D model are performed to obtain a vegetation-ore body 3D model;

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

[0136] The identification plates and waste rock areas are marked in the vegetation-ore body three-dimensional model to obtain a three-dimensional mine model.

[0137] Furthermore, 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 on the three-dimensional visualization platform 203, including:

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

[0139] The size and contour of the excavation tunnel are obtained according to the excavation size, excavation path and excavation progress of the mining equipment;

[0140] According to the size and outline of the excavated tunnel, the three-dimensional model of the mine is updated and displayed in the three-dimensional visualization platform 203.

[0141] Furthermore, the display in the three-dimensional visualization platform 203 includes:

[0142] Identify a default perspective and a perspective switching instruction of the three-dimensional visualization platform 203;

[0143] 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;

[0144] 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;

[0145] Calculating a visual difference set between the second visual area and the initial visual area, and dynamically loading the visual difference set;

[0146] 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.

[0147] Furthermore, the environmental information, personnel behavior information and working status of mining equipment in the mine are monitored, abnormal information is identified, and synchronized to the three-dimensional visualization platform 203 for supervision, including:

[0148] Monitor environmental information, including vegetation change status and fire occurrence;

[0149] Monitor personnel behavior information, including waste rock stacking behavior, smoking behavior, drinking behavior and clothing conditions;

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

[0151] 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 203, and the three-dimensional visualization platform 203 issues an alarm.

[0152] In summary, in the embodiment of the present invention, a surface model is first constructed through the geological data of the ore body area, and the boundaries are filled to obtain a three-dimensional model of the ore body, and then a three-dimensional model of the mine is generated through the vegetation data and identification data on the mine surface, thereby obtaining a visualization model that can be displayed by the platform, so that the display of information such as the mine's terrain, vegetation, and ore body distribution is more intuitive, thereby improving the information acquisition efficiency of managers; by following up on the working parameters and task progress of the mining equipment, the three-dimensional model of the mine is updated at preset time intervals, thereby improving the real-time nature of the data while visualizing the mine; by monitoring the environmental information, personnel behavior information, and the 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, thereby realizing the visualization management of the mining environment, mining status, and data information, thereby improving the efficiency of mine data management.

[0153] See also Figure 3 , 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 of 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 management program based on three-dimensional visualization. When the processor 1 executes the computer program, the steps in the above-mentioned embodiments of the mine intelligent monitoring method based on three-dimensional visualization are implemented. Alternatively, when the processor 1 executes the computer program, the functions of each module / unit in the above-mentioned device embodiments are implemented.

[0154] Exemplarily, the computer program can be divided into one or more modules / units, one or more modules / units are stored in a memory and executed by a processor to complete the present invention. One or more modules / units can be a series of computer program instruction segments that can complete specific functions, and the 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 intelligent monitoring system for mines based on 3D visualization may include, but is not limited to, a processor and a memory. Those skilled in the art may understand that the schematic diagram is only an example of the intelligent monitoring system for mines based on 3D visualization, and does not constitute a limitation on the intelligent monitoring system for mines based on 3D visualization. The intelligent monitoring system for mines based on 3D visualization may include more or fewer components than shown in the diagram, or may combine certain components, or different components. For example, the intelligent monitoring system for mines based on 3D visualization may also include input and output devices, network access devices, CAN buses, etc.

[0156] An embodiment of the present invention provides 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 intelligent mine monitoring method based on three-dimensional visualization as described in Embodiment 1 of the present invention.

[0157] The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the mine intelligent monitoring system based on three-dimensional visualization, and uses various interfaces and lines to connect various parts of the entire mine intelligent monitoring system based on three-dimensional visualization.

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

[0159] Among them, if the module / unit integrated in the intelligent monitoring system for mines based on three-dimensional visualization is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present invention implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. Computer-readable media may include: any entity or device capable of carrying computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium, etc. It should be noted that the content contained 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, computer-readable media does not include electrical carrier signals and telecommunications signals.

[0160] It should be noted that the device embodiments described above are merely schematic, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. In addition, in the accompanying drawings of the device embodiments provided by the present invention, the connection relationship between the modules indicates that there is a communication connection between them, which may be specifically implemented as one or more communication buses or signal lines. A person of ordinary skill in the art may understand and implement it without paying any creative effort.

[0161] The above are preferred embodiments of the present invention. It should be noted that, for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications are also considered to be within the scope of protection 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.

2. The intelligent mine monitoring method based on three-dimensional visualization according to claim 1, characterized in that: 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.

3. The intelligent mine monitoring method based on three-dimensional visualization according to claim 2 is 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.

4. The intelligent mine monitoring method based on three-dimensional visualization according to claim 1, 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.

5. 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.

6. 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.

7. 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.

8. 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; The mine data monitoring module 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.

9. 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 7.

10. 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 7.

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