A mine shaft and roadway support digital processing method, system and platform based on 3Dmine

Abstract

This invention discloses a method, system, and platform for digital processing of mine tunnel support based on 3Dmine. The method involves generating and acquiring first data corresponding to the mine tunnel support to be digitally processed; creating a first model and a second model corresponding to the first data using the first data and 3Dmine; generating second data corresponding to the mine tunnel support based on the first and second models; and constructing a third model corresponding to the mine tunnel support based on the second data. The third model is a tunnel design model after support. Corresponding third data is generated based on the third model. The invention also includes a corresponding system and platform. This method facilitates refined, efficient, and digital management of the entire tunnel support process, improves the production organization efficiency of mining enterprises, and enhances the safety management capabilities and construction quality control capabilities of various underground tunnel projects.

Description

Technical Field

[0001] This invention belongs to the field of digital processing technology for mine shaft and tunnel support, specifically relating to a digital processing method, system and platform for mine shaft and tunnel support based on 3Dmine. Background Technology

[0002] Support engineering, as a crucial safety measure for mine construction and continuous production, involves long construction periods and substantial investments. Key systems such as ventilation, water supply and drainage, power supply and distribution, hoisting and transportation, and mining areas are crisscrossed within and around the ore body. These systems vary depending on factors such as geological structure, stress, mining methods, blasting disturbance, and service life, resulting in diverse standards and forms of support. While the mechanization and automation levels in metal and non-metal mines are increasing, the application of digital technology in support engineering remains relatively low.

[0003] Currently, the main support methods used in underground metal and non-metal mines include rock bolts, anchor cables, shotcrete, shotcrete mesh, cast-in-place concrete, metal supports, steel arches, and steel arch pre-supported pipe roofs with rock bolts. However, these support projects suffer from technical deficiencies throughout the entire process, including roof grading, determination of support type, delineation of support area, cross-sectional measurement, support design, quality acceptance, and quantity calculation.

[0004] First, the technical management of the shaft support project, from design, construction, and acceptance, was rudimentary due to the lack of comprehensive spatial spatial mapping of geological features such as faults, joints, and weak intrusive bodies in unfavorable geological sections. Second, previous secondary geological delineation of shafts failed to fully reflect the distribution of these features in the spatial dimensions, including the degree and extent of damage caused by adverse geological conditions. Roof grading was also vague, leading to abstract and limited design phases for the support project and a lack of guidance from design to construction. Third, while the excavated shafts generally exhibit an arched cross-section, the actual roof and sides are uneven. According to specifications, acceptance holes are drilled every 5 meters, and the quantity calculation is based on the average of the width and height measured at 5-meter intervals using a fixed formula. This results in significant subjectivity in quality acceptance and quantity calculation, leading to substantial deviations in the quantity measured.

[0005] Therefore, in order to address the above-mentioned technical problems and deficiencies, there is an urgent need to design and develop a digital processing method, system and platform for mine shaft and tunnel support based on 3Dmine. Summary of the Invention

[0006] To overcome the shortcomings and difficulties of the existing technology, the purpose of this invention is to provide a digital processing method, system and platform for mine tunnel support based on 3Dmine, which is conducive to promoting the refined, efficient and digital management of the entire process of tunnel support engineering, improving the production organization efficiency of mining enterprises, and improving the safety management capabilities and construction quality control capabilities of various underground tunnel engineering projects.

[0007] The first objective of this invention is to provide a digital processing method for mine shaft and tunnel support based on 3Dmine; the second objective of this invention is to provide a digital processing system for mine shaft and tunnel support based on 3Dmine; and the third objective of this invention is to provide a digital processing platform for mine shaft and tunnel support based on 3Dmine.

[0008] The first objective of this invention is achieved as follows: the method comprises the following steps:

[0009] Generate and acquire first data corresponding to the digital processing of mine shafts and tunnels to be supported; wherein, the first data is three-dimensional vectorized point cloud data of the shafts and tunnels;

[0010] Based on the first data and in conjunction with 3Dmine, a first model and a second model corresponding to the first data are created respectively; wherein, the first model is a three-dimensional solid model; and the second model is a three-dimensional geological model.

[0011] Based on the first model and the second model, second data corresponding to mine shaft and tunnel support is generated, and based on the second data, a third model corresponding to mine shaft and tunnel support is constructed; wherein, the second data includes support level data, parameter data and length data; the third model is a tunnel design model after support;

[0012] Based on the third model, corresponding third data is generated; wherein, the third data is measurement data corresponding to mine shaft and tunnel support.

[0013] Furthermore, the generation and acquisition of the first data corresponding to the digital processing of the mine shaft and roadway support also includes:

[0014] Using a 3D scanner, fourth and fifth data corresponding to the required supported roadway area are generated and acquired; wherein, the fourth data is the original scanned point cloud data; and the fifth data is the measurement control point data near the roadway.

[0015] The fourth data is processed and a sixth data corresponding to the fourth data is generated. At the same time, the sixth data is calibrated based on the fifth data. The sixth data is point cloud data with the required format.

[0016] The sixth data is processed by deleting duplicate or interfering point data and thinning the sixth data; wherein, the point data includes noise point data caused by large dust, and point data formed by the obstruction of the tunnel wall by the tunnel ventilation duct, water pipe, and cable.

[0017] Furthermore, the step of creating a first model and a second model corresponding to the first data based on the first data and in conjunction with 3Dmine also includes:

[0018] Based on 3Dmine, a rough solid model is established, and the first model is verified and optimized by eliminating intersecting triangle edges, reorganizing invalid triangle edges, and connecting open edges.

[0019] Generate and acquire the seventh data, and establish a second model of the shaft and tunnel with spatial attributes based on the first model; wherein, the seventh data is data on shaft and tunnel faults, bedding joints, intrusive body structures and lithological characteristics.

[0020] Furthermore, the step of generating second data corresponding to mine shaft and tunnel support based on the first model and the second model, and constructing a third model corresponding to mine shaft and tunnel support based on the second data, further includes:

[0021] Based on the second model and according to the roof grading specification data, roof grading is carried out to generate support form data for unfavorable geological sections. At the same time, according to the influence range of unfavorable geological sections, corresponding support length data is generated.

[0022] Based on the second data and combined with the network degree parameter data, point data and line data corresponding to the support are generated respectively.

[0023] Furthermore, the step of generating second data corresponding to mine shaft and tunnel support based on the first model and the second model, and constructing a third model corresponding to mine shaft and tunnel support based on the second data, further includes:

[0024] Based on the third model, a first model corresponding to the supported shaft and tunnel is constructed;

[0025] Based on the first model corresponding to the supported shaft and tunnel, a third model corresponding to the supported shaft and tunnel is generated.

[0026] Furthermore, the generation of corresponding third data based on the third model also includes:

[0027] Based on the first model corresponding to the supported shaft and roadway, and combined with the third model corresponding to the supported shaft and roadway, the corresponding eighth data is generated; wherein, the eighth data is the measurement data corresponding to the supported mine shaft and roadway.

[0028] The second objective of this invention is achieved as follows: the system is applied to the aforementioned 3Dmine-based digital processing method for mine tunnel support, and the system comprises:

[0029] The first data generation unit is used to generate and acquire first data corresponding to the digital processing of mine shafts and tunnels to be supported; wherein, the first data is three-dimensional vectorized point cloud data of the shafts and tunnels;

[0030] The first module construction unit is used to create a first model and a second model corresponding to the first data based on the first data and in combination with 3Dmine; wherein the first model is a three-dimensional solid model; and the second model is a three-dimensional geological model.

[0031] The second module construction unit is used to generate second data corresponding to mine shaft and tunnel support based on the first model and the second model, and to construct a third model corresponding to mine shaft and tunnel support based on the second data; wherein, the second data includes support level data, parameter data and length data; the third model is a roadway design model after support;

[0032] The second data generation unit is used to generate corresponding third data based on the third model; wherein the third data is measurement data corresponding to mine shaft and tunnel support.

[0033] Furthermore, the first data generation unit further includes:

[0034] The first generation module is used to generate and acquire fourth and fifth data corresponding to the required supported roadway area in conjunction with a 3D scanner; wherein, the fourth data is the original scanned point cloud data; and the fifth data is the measurement control point data near the roadway.

[0035] The second generation module is used to process the fourth data and generate the sixth data corresponding to the fourth data, and to calibrate the sixth data based on the fifth data; wherein the sixth data is point cloud data with the required format;

[0036] The first processing module is used to delete duplicate or interfering point data in the sixth data and to thin out the sixth data; wherein, the point data includes noise point data caused by dust, and point data formed by the obstruction of the tunnel wall by ventilation ducts, water pipes, and cables;

[0037] And / or, the first module building unit further includes:

[0038] The second processing module is used to build a rough solid model based on 3Dmine, and to verify and optimize the first model by eliminating intersecting triangle edges, reorganizing invalid triangle edges, and connecting open edges.

[0039] The first module is used to generate and acquire the seventh data, and to establish a second model of the shaft and tunnel with spatial attributes based on the first model; wherein, the seventh data is data on shaft and tunnel faults, joints, intrusive structures and lithological characteristics;

[0040] And / or, the second module building unit further includes:

[0041] The third generation module is used to perform roof grading based on the second model and according to the roof grading specification data, generate support form data for unfavorable geological sections, and generate corresponding support length data according to the influence range of unfavorable geological sections.

[0042] The fourth generation module is used to generate point data and line data corresponding to the support based on the second data and the network degree parameter data.

[0043] And / or, the second data generation unit further includes:

[0044] The fifth generation module is used to generate corresponding eighth data based on the first model corresponding to the supported mine shaft and combined with the third model corresponding to the supported mine shaft; wherein the eighth data is the measurement data corresponding to the mine shaft after support.

[0045] Furthermore, the second module construction unit also includes:

[0046] The second module is used to construct a first model corresponding to the supported shaft and tunnel based on the third model.

[0047] The sixth generation module is used to generate a third model corresponding to the supported shaft and tunnel based on the first model corresponding to the supported shaft and tunnel.

[0048] The third objective of this invention is achieved as follows: the platform includes a processor, a memory, and a control program for a 3Dmine-based digital processing platform for mine shaft and tunnel support; wherein, the processor executes the control program for the 3Dmine-based digital processing platform for mine shaft and tunnel support, the control program for the 3Dmine-based digital processing platform for mine shaft and tunnel support is stored in the memory, and the control program for the 3Dmine-based digital processing platform for mine shaft and tunnel support implements the 3Dmine-based digital processing method for mine shaft and tunnel support.

[0049] This invention generates and acquires first data corresponding to the digital processing of mine shaft and tunnel support through a method. The first data is three-dimensional vectorized point cloud data of the shaft and tunnel. Based on the first data and combined with 3Dmine, a first model and a second model corresponding to the first data are created. The first model is a three-dimensional solid model; the second model is a three-dimensional geological model. Based on the first and second models, second data corresponding to mine shaft and tunnel support is generated, and based on the second data, a third model corresponding to mine shaft and tunnel support is constructed. The second data includes support level data, parameter data, and length data. The third model is a tunnel design model after support. Based on the third model, corresponding third data is generated. The third data includes measurement data corresponding to mine shaft and tunnel support, as well as a system and platform corresponding to the method. This facilitates the refined, efficient, and digital management of the entire process of shaft and tunnel support engineering, improves the production organization efficiency of mining enterprises, and enhances the safety management capabilities and construction quality control capabilities of various underground shaft and tunnel projects.

[0050] In other words, the present invention provides a solution that, compared to the two-dimensional planar data generated by measuring the coordinates of the shaft and tunnel using a full-scale measurement, generates a three-dimensional solid model by collecting point cloud data using a high-precision Hovermap scanner, which highly restores the true shape of irregular shafts and tunnels.

[0051] Secondly, the establishment of a three-dimensional geological model can intuitively identify faults, joint formations, and lithology in adverse geological sections, accurately determine the roof grade, and help identify the degree of damage caused by adverse geological bodies to the tunnels. Based on the urgency, difficulty, and danger of each section's support work, it guides the priority of construction progress and achieves project schedule control. Based on the three-dimensional physical model of the tunnel and the three-dimensional geological model, three-dimensional support design is carried out, intuitively reflecting the support effect and calculating the design quantities. During quality acceptance, the tunnel physical model established by two scans before and after support allows for checking the support thickness of the roof and sidewalls at any support section, preventing shoddy workmanship, further constraining construction behavior, and achieving quality control. Compared to the usual manual calculation of quantities by averaging every 5 meters and using a fixed formula during final acceptance, the quantities obtained from high-precision scanning are more accurate. Meanwhile, the application of new digital support engineering technology has transformed tunnel engineering from two-dimensional to three-dimensional digitalization, realizing refined management of construction progress, construction quality, and project costs. It is mainly applicable to support engineering such as anchor spraying, anchor mesh spraying, shotcreting, and pouring that are commonly used in metal and non-metal mining enterprises.

[0052] Third, the implementation of this technology will help promote the digital, refined, and efficient management of the entire process of mine shaft support engineering, improve the production organization efficiency of mining enterprises, enhance the safety management capabilities of various underground mine shaft engineering projects and the construction quality control capabilities of support engineering, and have strong guiding significance for the construction of digital and intelligent mines. Attached Figure Description

[0053] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0054] Figure 1 This is a schematic diagram of scanned point cloud data, representing an embodiment of a digital processing method for mine tunnel support based on 3Dmine according to the present invention.

[0055] Figure 2 This is a schematic diagram of a three-dimensional solid model of an embodiment of a digital processing method for mine tunnel support based on 3Dmine according to the present invention.

[0056] Figure 3 This is a schematic diagram of a three-dimensional geological model of a mine tunnel, representing an embodiment of a digital processing method for mine tunnel support based on 3Dmine according to the present invention.

[0057] Figure 4 This is a schematic diagram illustrating the determination of roof grade and support length in an embodiment of a digital processing method for mine tunnel support based on 3Dmine according to the present invention.

[0058] Figure 5 This is a schematic diagram of the three-dimensional design of a support project, which is an embodiment of a digital processing method for mine tunnel support based on 3Dmine according to the present invention.

[0059] Figure 6 This is a schematic diagram illustrating the measurement of the physical volume before mine tunnel support, as an embodiment of the digital processing method for mine tunnel support based on 3Dmine of the present invention.

[0060] Figure 7 This is a schematic diagram illustrating the creation of a solid model after scanning following support, as an embodiment of a digital processing method for mine tunnel support based on 3Dmine according to the present invention.

[0061] Figure 8 This is a schematic diagram of the solid model established by scanning after support, as an embodiment of the digital processing method for mine tunnel support based on 3Dmine of the present invention.

[0062] Figure 9This is a schematic diagram illustrating the creation of a profile for thickness acceptance in an embodiment of a digital processing method for mine tunnel support based on 3Dmine according to the present invention.

[0063] Figure 10 This is a schematic diagram of the completed support project, representing an embodiment of a digital processing method for mine tunnel support based on 3Dmine according to the present invention.

[0064] Figure 11 This is a schematic diagram of the steps of a digital processing method for mine tunnel support based on 3Dmine according to the present invention.

[0065] Figure 12 This invention provides a schematic diagram of a digital processing system architecture for mine tunnel support based on 3Dmine.

[0066] Figure 13 This is a schematic diagram of the structure of a digital processing platform for mine tunnel support based on 3Dmine, according to the present invention.

[0067] In the figure: 1-Point cloud data; 2-Shaft and tunnel entity model; 3-Ore body; 4-Fault; 5-Fault filling material; 6-Intrusive body; 7-Marble; 8-Unfavorable geological section; 9-Support section length; 10-Shaft and tunnel entity before support; 11-Anchor bolt; 12-Reinforcing mesh; 13-Closed entity; 14-Entity volume V1 before support; 15-Scanned entity after support; 16-Entity volume V2 after support; 17-Creating profile; 18-Thickness acceptance. Detailed Implementation

[0068] To facilitate a clearer understanding of the objectives, technical solutions, and advantages of this invention, the invention will be further described below in conjunction with the accompanying drawings and specific embodiments. Those skilled in the art can easily understand other advantages and effects of this invention from the content disclosed in this specification.

[0069] This invention can also be implemented or applied through other different specific examples, and various details in this specification can also be modified and changed based on different viewpoints and applications without departing from the spirit of this invention.

[0070] It should be noted that if the embodiments of the present invention involve directional indicators (such as up, down, left, right, front, back, etc.), the directional indicators are only used to explain the relative positional relationship and movement of the components in a certain specific posture (as shown in the figure). If the specific posture changes, the directional indicators will also change accordingly.

[0071] Furthermore, if the embodiments of this invention involve descriptions such as "first" or "second," these descriptions are for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined with "first" or "second" may explicitly or implicitly include at least one of those features. Secondly, the technical solutions of the various embodiments can be combined with each other, but this must be based on the ability of those skilled in the art to implement them. When the combination of technical solutions is contradictory or impossible to implement, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection claimed by this invention.

[0072] Preferably, the 3Dmine-based digital processing method for mine tunnel support of the present invention is applied in one or more terminals or servers. The terminal is a device capable of automatically performing numerical calculations and / or information processing according to pre-set or stored instructions. Its hardware includes, but is not limited to, microprocessors, application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), digital signal processors (DSPs), embedded devices, etc.

[0073] The terminal can be a desktop computer, laptop, handheld computer, or cloud server, etc. The terminal can interact with the customer via a keyboard, mouse, remote control, touchpad, or voice control device.

[0074] This invention provides a digital processing method, system, platform, and storage medium for mine shaft and tunnel support based on 3Dmine.

[0075] like Figure 1 The diagram shown is a flowchart of a digital processing method for mine tunnel support based on 3Dmine, provided in an embodiment of the present invention.

[0076] In this embodiment, the 3Dmine-based digital processing method for mine tunnel support can be applied to terminals or fixed terminals with display functions. The terminals are not limited to personal computers, smartphones, tablets, desktop computers or all-in-one computers with cameras, etc.

[0077] The 3Dmine-based digital processing method for mine tunnel support can also be applied to a hardware environment consisting of a terminal and a server connected to the terminal via a network. The network includes, but is not limited to, a wide area network (WAN), a metropolitan area network (MAN), or a local area network (LAN). The 3Dmine-based digital processing method for mine tunnel support in this embodiment can be executed by a server, by a terminal, or by both a server and a terminal.

[0078] For example, for a terminal requiring digital processing of mine tunnel support based on 3Dmine, the digital processing function of mine tunnel support based on 3Dmine provided by the method of this invention can be directly integrated into the terminal, or a client for implementing the method of this invention can be installed. Alternatively, the method provided by this invention can also run on servers or other devices in the form of a Software Development Kit (SDK), providing an interface for the digital processing function of mine tunnel support based on 3Dmine in the form of an SDK. Terminals or other devices can then implement the digital processing function of mine tunnel support based on 3Dmine through the provided interface. The invention will be further described below with reference to the accompanying drawings.

[0079] The invention will now be described in further detail with reference to the accompanying drawings, such as... Figures 1-11 As shown, this invention provides a digital processing method for mine tunnel support based on 3Dmine, the method comprising the following steps:

[0080] S01. Generate and acquire first data corresponding to the digital processing of mine shafts and tunnels to be supported; wherein, the first data is three-dimensional vectorized point cloud data of the shafts and tunnels;

[0081] S02. Based on the first data and in conjunction with 3Dmine, create a first model and a second model corresponding to the first data, respectively; wherein, the first model is a three-dimensional solid model; and the second model is a three-dimensional geological model.

[0082] S03. Based on the first model and the second model, generate second data corresponding to mine shaft and tunnel support, and construct a third model corresponding to mine shaft and tunnel support based on the second data; wherein, the second data includes support level data, parameter data and length data; the third model is a roadway design model after support;

[0083] S04. Based on the third model, generate corresponding third data; wherein, the third data is measurement data corresponding to mine shaft and tunnel support.

[0084] The process of generating and acquiring the first data corresponding to the digital processing of mine shafts and tunnels awaiting support also includes:

[0085] S011. Using a 3D scanner, generate and acquire fourth and fifth data corresponding to the required supported roadway area; wherein, the fourth data is the original scanned point cloud data; and the fifth data is the measurement control point data near the roadway.

[0086] S012. Calculate and process the fourth data, and generate the sixth data corresponding to the fourth data. At the same time, calibrate the sixth data based on the fifth data. The sixth data is point cloud data with the required format.

[0087] S013. Delete duplicate or interfering point data in the sixth data and thin out the sixth data; wherein, the point data includes noise data caused by dust, and point data formed by the obstruction of the tunnel wall by the tunnel ventilation duct, water pipe, and cable.

[0088] The step of creating a first model and a second model corresponding to the first data based on the first data and in conjunction with 3Dmine also includes:

[0089] S021. Based on 3Dmine, establish a rough solid model, and verify and optimize the first model by eliminating intersecting triangle edges, reorganizing invalid triangle edges, and connecting open edges.

[0090] S022. Generate and acquire the seventh data, and establish a second model of the shaft and tunnel with spatial attributes based on the first model; wherein, the seventh data is data on shaft and tunnel faults, joints, intrusive structures and lithological characteristics.

[0091] The process of generating second data corresponding to mine shaft and tunnel support based on the first model and the second model, and constructing a third model corresponding to mine shaft and tunnel support based on the second data, further includes:

[0092] S031. Based on the second model and according to the roof grading specification data, roof grading is carried out to generate support form data for unfavorable geological sections. At the same time, according to the influence range of unfavorable geological sections, corresponding support length data is generated.

[0093] S032. Based on the second data and combined with the network parameter data, generate point data and line data corresponding to the support respectively.

[0094] The process of generating second data corresponding to mine shaft and tunnel support based on the first model and the second model, and constructing a third model corresponding to mine shaft and tunnel support based on the second data, further includes:

[0095] S033. Based on the third model, construct a first model corresponding to the supported shaft / tunnel;

[0096] S034. Based on the first model corresponding to the supported shaft and tunnel, generate the third model corresponding to the supported shaft and tunnel.

[0097] The generation of corresponding third data based on the third model also includes:

[0098] S041. Based on the first model corresponding to the supported shaft and roadway, and combined with the third model corresponding to the supported shaft and roadway, generate corresponding eighth data; wherein, the eighth data is the measurement data corresponding to the supported mine shaft and roadway.

[0099] Specifically, in this embodiment of the invention, the present invention provides a technical measure applicable to digital support in mine tunnels, which is implemented through the following steps:

[0100] (1) Point cloud data collection and organization: Scan the tunnel with a scanner to collect and organize the three-dimensional vectorized point cloud data of the tunnel.

[0101] (2) Three-dimensional solid model: Based on three-dimensional vectorized point cloud data, a solid model is established using 3Dmine mining software as the basis for geological modeling and three-dimensional design of support engineering.

[0102] (3) Three-dimensional geological modeling: Identify the structural occurrence of faults, joints, intrusions and other structures in the tunnels, identify lithology, stability and other properties, and establish a three-dimensional geological model of the tunnels using 3Dmine mining software.

[0103] (4) Roof grading and support engineering confirmation: Using the three-dimensional geological model as the main basis for roof grading, roof grading of adverse geological conditions is carried out to determine the support form, support range and support length of adverse geological sections.

[0104] (5) Three-dimensional design of support engineering: Based on the support form, clarify the support parameters such as steel mesh, anchor bolts, and shotcrete to carry out three-dimensional design of support engineering. After the design is completed, the relevant design engineering quantities are obtained.

[0105] (6) Measure the volume before support: Based on the support length, measure the volume of the support section before support using the 3Dmine software three-dimensional solid model of the tunnel, and use it as the basis for the subsequent engineering quantity calculation.

[0106] (7) Three-dimensional scanning and establishment of three-dimensional solid model of the shaft after support: similar to (1)-(2) above.

[0107] (8) Measure the volume of the shaft after support: Similar to (6) above, the volume measurement after support creates conditions for quality acceptance.

[0108] (9) Quality acceptance and quantity calculation: Import the three-dimensional solid models before and after the support into 3Dmine software, cut them to form the front and rear support sections, and measure the shotcrete thickness of any section of the support section to complete the shotcrete thickness acceptance. The difference in solid volume before and after shotcreting is used to obtain the actual shotcrete or pouring quantity, and the quantity acceptance is completed.

[0109] Among them, such as Figure 1 As shown, the Hovermap scanner collects and organizes point cloud data of the tunnel that meets the accuracy requirements using 3D scanning; the point cloud data is used to produce a digital vectorized 3D model of the tunnel before support construction, restoring the true shape of the tunnel, such as... Figure 2 As shown; based on the actual site conditions, three-dimensional geological logging was carried out to identify the occurrence and lithology of unfavorable geological bodies such as faults, joints, and intrusive bodies. A three-dimensional geological model was then established using 3Dmine software, such as... Figure 3 As shown; based on the three-dimensional geological model, determine the roof grade, and clarify the support type, scope, and length, such as... Figure 4 As shown, the engineering design of the support section is carried out: based on the support type and various parameters, a three-dimensional support design is performed on the support section, such as... Figure 5 As shown; Volume measurement before support: Using the solid function of 3Dmine software, the solid volume V1 before support is measured at both ends of the closed support section of the roadway, as shown. Figure 6 As shown. The 3D scanning and creation of a 3D solid model of the shaft / tunnel after support is performed, as shown below. Figure 7 As shown. Based on the solid model after support, the volume V2 of the supported shaft / tunnel was measured after the solid was sealed, as shown. Figure 8 As shown. Cross-sections of the entity before and after support are created to verify the thickness, as shown. Figure 9 As shown. After completion and acceptance, the as-built drawings of the support structure were compiled, as follows. Figure 10 As shown.

[0110] Preferably, the specific steps are as follows:

[0111] (1) Preparation before support: Before scanning, roughen the tunnel with mechanical prying to ensure the safety of construction operations and the accuracy of scanning data before the start of support engineering.

[0112] (2) Use a Hovermap scanner to conduct 3D scanning of the mine shaft, collect the original scanned point cloud data of the required support roadway area and ≥3 measurement control points near the roadway, with a scanning accuracy ≤1cm; use professional point cloud processing software to solve the original data to obtain point cloud data in the required format for point cloud processing, calibrate the point cloud data using the scanned measurement control points to make the scanned point cloud data consistent with the mine measurement and control system, with a control point calibration accuracy ≤5mm; delete duplicate or interfering points in the point cloud (such as noise points caused by large dust, points formed by roadway ventilation ducts, water pipes, cables, etc. obstructing the roadway wall), thin the point cloud data, control the spacing between points to ≤5cm, and organize to obtain vectorized point cloud data that matches the mine measurement and control system. Figure 1 As shown:

[0113] (3) Three-dimensional solid model: Based on three-dimensional vectorized point cloud data, a solid model is established using 3Dmine mining software. First, a rough solid model is established by automatically modeling the point cloud data using 3Dmine mining software. Then, the solid model is continuously verified and optimized by eliminating intersecting triangle edges, reorganizing invalid triangle edges, and connecting open edges. Finally, a refined solid model that meets the quality requirements is formed as the basis for carrying out geological modeling and three-dimensional design of support engineering. Figure 2 As shown:

[0114] (4) Three-dimensional geological modeling: Based on the physical model and geological logging, the structural and lithological characteristics of the tunnel, such as faults, joints, and intrusive bodies, are obtained. Following the principle of spatial integration in geology, the strike, dip, and dip angle are created in three dimensions using 3Dmine software. Finally, various elements such as structure, attitude, and lithology are integrated to establish a three-dimensional geological model of the tunnel with spatial attributes, providing a spatial digital basis for roof grading, thereby determining a scientifically sound support method. For example... Figure 3 As shown:

[0115] (5) Determining the support level and length based on the roof stratification: Based on the three-dimensional geological model, according to the roof stratification specification (there are four levels of roof: Level I: well-developed roof-layer joints, joint spacing < 0.1m, faults > 2m, lithological characteristics are granular and fragmented; Level II: well-developed roof-layer joints, joint spacing 0.1-1m, faults 1-2m, lithological characteristics are layered; Level III: poorly developed roof-layer joints, joint spacing < 2m... 3m, fault 0.3-1m, lithological characteristics are blocky; Class IV roof layer - joints are extremely underdeveloped, bedding-joint spacing >3m, fault <0.3m, lithological characteristics are good integrity), carry out roof classification, determine the support form of the adverse geological section (Class I roof - cast-in-place or anchor-mesh-sprayed support, Class II roof - anchor-sprayed support, Class III roof - partial anchor bolt support, Class IV roof - no support), and determine the support length according to the influence range of the adverse geological section. Figure 4 As shown:

[0116] (6) Three-dimensional design of support engineering: Based on the support level, parameters, and length (taking the commonly used anchor-mesh-shotcrete support in underground mines as an example), a three-dimensional design of the support engineering is carried out. Mesh design is based on mesh density parameters, using points generated by the "Solid-Solid Tool-Solid Surface Mesh" function in 3Dmine software, and connecting lines between these points. Anchor bolt design uses software to draw the anchor bolt length and anchor plate size, and draws the points to the intersection of the mesh according to the construction angle and spacing. Shotcrete design uses the solid scaling function to obtain the roadway design model after support. Finally, the quantities of anchor bolts, mesh, and shotcrete can be obtained through measurement and summarization. For example... Figure 5 As shown:

[0117] (7) Measure the volume before support: Using the 3Dmine software to model the tunnel in three dimensions, obtain the volume V1 of the closed support section through "Solid - Generate Open Edge - Generate Solid with Closed Line - Merge Solid" and "Solid - Solid Volume". This volume serves as the basis for subsequent engineering quantity calculations. Figure 6 As shown.

[0118] (8) Construction and concealed acceptance: After the mesh and anchor bolts are constructed, the concealed acceptance is completed. After the acceptance is qualified, shotcrete support is carried out.

[0119] (9) Three-dimensional scanning and establishment of a three-dimensional solid model of the shaft and tunnel after support: similar to (2)-(3) above. For example... Figure 7 As shown.

[0120] (10) Measure the volume of the tunnel after support: Similar to (7) above, measure the volume V2 after support to create conditions for quality acceptance. Figure 8 As shown.

[0121] (11) Quality Acceptance and Quantity Calculation: Import the 3D solid models before and after the support into 3Dmine software. Use "Create - Section View - Wire Cut" or cut the section to form the front and rear support sections. The shotcrete thickness can be measured at any section of the support segment to complete the shotcrete thickness acceptance. The difference between the solid volumes V1 before support and V2 after support yields the actual shotcrete or pouring quantity, completing the quantity acceptance. Acceptance criteria: On each section of the shotcrete, the thickness of the sprayed layer at all inspection holes should not be less than 60% of the design thickness; the minimum thickness should not be less than 50% of the design thickness; and the average thickness of the sprayed layer at the inspection holes should not be less than the design thickness; V1-V2 ≥ the designed shotcrete quantity. Figure 9 As shown.

[0122] (12) After the completion and acceptance of the project, various acceptance projects are compiled and drawn to obtain the as-built drawings of the support project. For example... Figure 10 As shown.

[0123] To achieve the above objectives, the present invention also provides a digital processing system for mine tunnel support based on 3Dmine, such as... Figure 12 As shown, the system is applied to the aforementioned digital processing method for mine tunnel support based on 3Dmine, and the system includes:

[0124] The first data generation unit is used to generate and acquire first data corresponding to the digital processing of mine shafts and tunnels to be supported; wherein, the first data is three-dimensional vectorized point cloud data of the shafts and tunnels;

[0125] The first module construction unit is used to create a first model and a second model corresponding to the first data based on the first data and in combination with 3Dmine; wherein the first model is a three-dimensional solid model; and the second model is a three-dimensional geological model.

[0126] The second module construction unit is used to generate second data corresponding to mine shaft and tunnel support based on the first model and the second model, and to construct a third model corresponding to mine shaft and tunnel support based on the second data; wherein, the second data includes support level data, parameter data and length data; the third model is a roadway design model after support;

[0127] The second data generation unit is used to generate corresponding third data based on the third model; wherein the third data is measurement data corresponding to mine shaft and tunnel support.

[0128] The first data generation unit further includes:

[0129] The first generation module is used to generate and acquire fourth and fifth data corresponding to the required supported roadway area in conjunction with a 3D scanner; wherein, the fourth data is the original scanned point cloud data; and the fifth data is the measurement control point data near the roadway.

[0130] The second generation module is used to process the fourth data and generate the sixth data corresponding to the fourth data, and to calibrate the sixth data based on the fifth data; wherein the sixth data is point cloud data with the required format;

[0131] The first processing module is used to delete duplicate or interfering point data in the sixth data and to thin out the sixth data; wherein, the point data includes noise point data caused by dust, and point data formed by the obstruction of the tunnel wall by ventilation ducts, water pipes, and cables;

[0132] And / or, the first module building unit further includes:

[0133] The second processing module is used to build a rough solid model based on 3Dmine, and to verify and optimize the first model by eliminating intersecting triangle edges, reorganizing invalid triangle edges, and connecting open edges.

[0134] The first module is used to generate and acquire the seventh data, and to establish a second model of the shaft and tunnel with spatial attributes based on the first model; wherein, the seventh data is data on shaft and tunnel faults, joints, intrusive structures and lithological characteristics;

[0135] And / or, the second module building unit further includes:

[0136] The third generation module is used to perform roof grading based on the second model and according to the roof grading specification data, generate support form data for unfavorable geological sections, and generate corresponding support length data according to the influence range of unfavorable geological sections.

[0137] The fourth generation module is used to generate point data and line data corresponding to the support based on the second data and the network degree parameter data.

[0138] And / or, the second data generation unit further includes:

[0139] The fifth generation module is used to generate corresponding eighth data based on the first model corresponding to the supported mine shaft and combined with the third model corresponding to the supported mine shaft; wherein the eighth data is the measurement data corresponding to the mine shaft after support.

[0140] The second module construction unit further includes:

[0141] The second module is used to construct a first model corresponding to the supported shaft and tunnel based on the third model.

[0142] The sixth generation module is used to generate a third model corresponding to the supported shaft and tunnel based on the first model corresponding to the supported shaft and tunnel.

[0143] In the system solution embodiment of the present invention, the specific details of the method steps involved in the digital processing of mine tunnel support based on 3Dmine have been described above. That is to say, the functional modules in the system are used to implement the steps or sub-steps in the above method embodiment, which will not be repeated here.

[0144] To achieve the above objectives, the present invention also provides a digital processing platform for mine tunnel support based on 3Dmine, such as... Figure 13As shown, it includes a processor, a memory, and a control program for a 3Dmine-based digital processing platform for mine tunnel support. The processor executes the 3Dmine-based digital processing platform control program, which is stored in the memory. This control program implements the steps of the 3Dmine-based digital processing method for mine tunnel support. For example:

[0145] S01. Generate and acquire first data corresponding to the digital processing of mine shafts and tunnels to be supported; wherein, the first data is three-dimensional vectorized point cloud data of the shafts and tunnels;

[0146] S02. Based on the first data and in conjunction with 3Dmine, create a first model and a second model corresponding to the first data, respectively; wherein, the first model is a three-dimensional solid model; and the second model is a three-dimensional geological model.

[0147] S03. Based on the first model and the second model, generate second data corresponding to mine shaft and tunnel support, and construct a third model corresponding to mine shaft and tunnel support based on the second data; wherein, the second data includes support level data, parameter data and length data; the third model is a roadway design model after support;

[0148] S04. Based on the third model, generate corresponding third data; wherein, the third data is measurement data corresponding to mine shaft and tunnel support.

[0149] The specific details of the steps have been explained above and will not be repeated here.

[0150] In this embodiment of the invention, the built-in processor of the 3Dmine-based digital processing platform for mine tunnel support can be composed of integrated circuits. For example, it can be composed of a single packaged integrated circuit, or multiple integrated circuits packaged with the same or different functions. This includes combinations of one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and various control chips. The processor connects to various components using various interfaces and lines, and executes programs or units stored in memory, as well as calling data stored in memory, to perform various functions and process data for the 3Dmine-based digital processing of mine tunnel support.

[0151] The memory is used to store program code and various data. It is installed in the 3Dmine-based digital processing platform for mine shaft support and enables high-speed and automatic access to programs or data during operation.

[0152] The memory includes read-only memory (ROM), random access memory (RAM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), one-time programmable read-only memory (OTPROM), electrically erasable programmable read-only memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disc storage, disk storage, magnetic tape storage, or any other computer-readable medium capable of carrying or storing data.

[0153] This invention generates and acquires first data corresponding to the digital processing of mine shaft and tunnel support through a method. The first data is three-dimensional vectorized point cloud data of the shaft and tunnel. Based on the first data and combined with 3Dmine, a first model and a second model corresponding to the first data are created. The first model is a three-dimensional solid model; the second model is a three-dimensional geological model. Based on the first and second models, second data corresponding to mine shaft and tunnel support is generated, and based on the second data, a third model corresponding to mine shaft and tunnel support is constructed. The second data includes support level data, parameter data, and length data. The third model is a tunnel design model after support. Based on the third model, corresponding third data is generated. The third data includes measurement data corresponding to mine shaft and tunnel support, as well as a system and platform corresponding to the method. This facilitates the refined, efficient, and digital management of the entire process of shaft and tunnel support engineering, improves the production organization efficiency of mining enterprises, and enhances the safety management capabilities and construction quality control capabilities of various underground shaft and tunnel projects.

[0154] In other words, the present invention provides a solution that, compared to the two-dimensional planar data generated by measuring the coordinates of the shaft and tunnel using a full-scale measurement, generates a three-dimensional solid model by collecting point cloud data using a high-precision Hovermap scanner, which highly restores the true shape of irregular shafts and tunnels.

[0155] Secondly, the establishment of a three-dimensional geological model can intuitively identify faults, joint formations, and lithology in adverse geological sections, accurately determine the roof grade, and help identify the degree of damage caused by adverse geological bodies to the tunnels. Based on the urgency, difficulty, and danger of each section's support work, it guides the priority of construction progress and achieves project schedule control. Based on the three-dimensional physical model of the tunnel and the three-dimensional geological model, three-dimensional support design is carried out, intuitively reflecting the support effect and calculating the design quantities. During quality acceptance, the tunnel physical model established by two scans before and after support allows for checking the support thickness of the roof and sidewalls at any support section, preventing shoddy workmanship, further constraining construction behavior, and achieving quality control. Compared to the usual manual calculation of quantities by averaging every 5 meters and using a fixed formula during final acceptance, the quantities obtained from high-precision scanning are more accurate. Meanwhile, the application of new digital support engineering technology has transformed tunnel engineering from two-dimensional to three-dimensional digital, enabling refined management of construction progress, construction quality, and project costs. It is mainly applicable to support engineering commonly used by metal and non-metal mining enterprises, such as anchor spraying, anchor mesh spraying, shotcreting, and pouring.

[0156] Third, the implementation of this technology will help promote the digital, refined, and efficient management of the entire process of mine shaft support engineering, improve the production organization efficiency of mining enterprises, enhance the safety management capabilities of various underground mine shaft engineering projects and the construction quality control capabilities of support engineering, and have strong guiding significance for the construction of digital and intelligent mines.

[0157] The embodiments described above are merely illustrative of several implementations of the present invention, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these modifications and improvements all fall within the scope of protection of the present invention. Therefore, the scope of protection of this patent should be determined by the appended claims.

Claims

1. A digital processing method for mine tunnel support based on 3Dmine, characterized in that, The method includes the following steps: The process involves generating and acquiring first data corresponding to the mine shaft and tunnel requiring digital support processing; the process further includes the following steps: using a 3D scanner to generate and acquire fourth and fifth data corresponding to the required support tunnel area; processing the fourth data and generating sixth data corresponding to it, while simultaneously calibrating the sixth data based on the fifth data; deleting duplicate or interfering point data in the sixth data and thinning the sixth data; the point data includes noise data caused by dust, and point data formed by tunnel ventilation ducts, water pipes, and cables obstructing the tunnel walls; the fourth data is the original scanned point cloud data; the fifth data is measurement control point data near the tunnel; the sixth data is point cloud data with the required format; and the first data is 3D vectorized point cloud data of the mine shaft and tunnel. Based on the first data and in conjunction with 3Dmine, a first model and a second model corresponding to the first data are created respectively; the process further includes the steps of: establishing a rough solid model based on 3Dmine, and verifying and optimizing the first model by eliminating intersecting triangle edges, reorganizing invalid triangle edges, and connecting open edges; generating and acquiring seventh data, and establishing a second shaft and tunnel model with spatial attributes based on the first model; the seventh data is shaft and tunnel fault, bedding joint, intrusive body structure, and lithological characteristic data; the first model is a three-dimensional solid model; the second model is a three-dimensional geological model; Based on the first model and the second model, second data corresponding to mine shaft and tunnel support is generated, and based on the second data, a third model corresponding to mine shaft and tunnel support is constructed; wherein, the second data includes support level data, parameter data and length data; the third model is a tunnel design model after support; Based on the third model, corresponding third data is generated; wherein, the third data is measurement data corresponding to mine shaft and tunnel support.

2. The digital processing method for mine tunnel support based on 3Dmine according to claim 1, characterized in that, The process of generating second data corresponding to mine shaft and tunnel support based on the first model and the second model, and constructing a third model corresponding to mine shaft and tunnel support based on the second data, further includes: Based on the second model and according to the roof grading specification data, roof grading is carried out to generate support form data for unfavorable geological sections. At the same time, according to the influence range of unfavorable geological sections, corresponding support length data is generated. Based on the second data and combined with the network degree parameter data, point data and line data corresponding to the support are generated respectively.

3. A digital processing method for mine tunnel support based on 3Dmine according to claim 1 or 2, characterized in that, The process of generating second data corresponding to mine shaft and tunnel support based on the first model and the second model, and constructing a third model corresponding to mine shaft and tunnel support based on the second data, further includes: Based on the third model, a first model corresponding to the supported shaft and tunnel is constructed. Based on the first model corresponding to the supported shaft and tunnel, a third model corresponding to the supported shaft and tunnel is generated.

4. The digital processing method for mine tunnel support based on 3Dmine according to claim 1, characterized in that, The generation of corresponding third data based on the third model also includes: Based on the first model corresponding to the supported shaft and roadway, and combined with the third model corresponding to the supported shaft and roadway, the corresponding eighth data is generated; wherein, the eighth data is the measurement data corresponding to the supported mine shaft and roadway.

5. A digital processing system for mine tunnel support based on 3Dmine, characterized in that, The system is applied to the digital processing method for mine tunnel support based on 3Dmine as described in any one of claims 1 to 4, and the system includes: The first data generation unit is used to generate and acquire first data corresponding to the digital processing of mine shafts and tunnels to be supported; wherein, the first data is three-dimensional vectorized point cloud data of the shafts and tunnels; The first module construction unit is used to create a first model and a second model corresponding to the first data based on the first data and in combination with 3Dmine; wherein the first model is a three-dimensional solid model; and the second model is a three-dimensional geological model. The second module construction unit is used to generate second data corresponding to mine shaft and tunnel support based on the first model and the second model, and to construct a third model corresponding to mine shaft and tunnel support based on the second data; wherein, the second data includes support level data, parameter data and length data; the third model is a roadway design model after support; The second data generation unit is used to generate corresponding third data based on the third model; wherein the third data is measurement data corresponding to mine shaft and tunnel support.

6. The digital processing system for mine tunnel support based on 3Dmine according to claim 5, characterized in that, The first data generation unit further includes: The first generation module is used to generate and acquire fourth and fifth data corresponding to the required supported roadway area in conjunction with a 3D scanner; wherein, the fourth data is the original scanned point cloud data; and the fifth data is the measurement control point data near the roadway. The second generation module is used to process the fourth data and generate the sixth data corresponding to the fourth data, and to calibrate the sixth data based on the fifth data; wherein the sixth data is point cloud data with the required format; The first processing module is used to delete duplicate or interfering point data in the sixth data and to thin out the sixth data; wherein, the point data includes noise point data caused by dust, and point data formed by the obstruction of the tunnel wall by ventilation ducts, water pipes, and cables; And / or, the first module building unit further includes: The second processing module is used to build a rough solid model based on 3Dmine, and to verify and optimize the first model by eliminating intersecting triangle edges, reorganizing invalid triangle edges, and connecting open edges. The first module is used to generate and acquire the seventh data, and to establish a second model of the shaft and tunnel with spatial attributes based on the first model; wherein, the seventh data is data on shaft and tunnel faults, joints, intrusive structures and lithological characteristics; And / or, the second module building unit further includes: The third generation module is used to perform roof grading based on the second model and according to the roof grading specification data, generate support form data for unfavorable geological sections, and generate corresponding support length data according to the influence range of unfavorable geological sections. The fourth generation module is used to generate point data and line data corresponding to the support based on the second data and the network degree parameter data. And / or, the second data generation unit further includes: The fifth generation module is used to generate corresponding eighth data based on the first model corresponding to the supported mine shaft and combined with the third model corresponding to the supported mine shaft; wherein the eighth data is the measurement data corresponding to the mine shaft after support.

7. A digital processing system for mine tunnel support based on 3Dmine as described in claim 5 or 6, characterized in that, The second module construction unit further includes: The second module is used to construct a first model corresponding to the supported shaft and tunnel based on the third model. The sixth generation module is used to generate a third model corresponding to the supported shaft and tunnel based on the first model corresponding to the supported shaft and tunnel.

8. A digital processing platform for mine tunnel support based on 3Dmine, characterized in that, The system includes a processor, a memory, and a control program for a 3Dmine-based digital processing platform for mine shaft and tunnel support. The processor executes the 3Dmine-based digital processing platform control program, which is stored in the memory. The 3Dmine-based digital processing platform control program implements the 3Dmine-based digital processing method for mine shaft and tunnel support as described in any one of claims 1 to 4.

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