A mine development area monitoring device layout method and system

Abstract

The present application relates to the technical field of device layout, and particularly relates to a mine area development area monitoring device layout method and system, obtaining construction drawing information of a to-be-developed mine area, obtaining a regional position of the to-be-developed mine area based on the construction drawing information, constructing a real-time model diagram of the to-be-developed mine area based on the regional position, obtaining construction parameter information of each construction regional position, constructing a simulation model diagram of each construction regional position after construction completion based on the construction parameter information, obtaining a final layout diagram of monitoring devices based on the simulation model diagram and a secondary layout diagram, generating layout engineering diagram information of the monitoring devices based on the final layout diagram, and outputting the layout engineering diagram information; the method can avoid the occurrence of a missed monitoring area, thereby avoiding the situation that data collected by the monitoring devices is incomplete, and making the layout of the monitoring devices more reasonable.

Description

Technical Field

[0001] This invention relates to the field of equipment layout technology, and in particular to a method and system for the layout of monitoring equipment in mining development areas. Background Technology

[0002] With the development of the times and the continuous improvement of people's living standards, people's demand for resources is increasing. While the large-scale development and utilization of mineral resources brings enormous social and economic benefits, it also causes a series of environmental problems and mining damage to human production and life. During the mining process, the natural stress state of the rock mass surrounding the goaf is disrupted, causing the rock strata and surface to move and deform, potentially leading to collapse and subsidence disasters, which in turn threaten the lives of mining workers. Therefore, before the development of a mining area, it is necessary to install monitoring equipment such as cameras, sensors, and radar at pre-planned locations. This allows for real-time monitoring of the mining situation, enabling geological disaster early warning based on the data collected by the monitoring equipment, and taking corresponding measures to improve safety during the mining process.

[0003] However, currently, the planning of monitoring equipment layout points usually involves workers conducting on-site inspections and then designing the layout points based on human experience. This method places extremely high demands on the experience of the inspectors, is prone to significant human error, and results in low layout efficiency. Furthermore, after layout, unreasonable situations often arise. Firstly, the monitoring equipment is placed too densely, causing excessive overlap in the monitoring range, resulting in excessive monitoring redundancy and excessive equipment layout costs. Secondly, the monitoring equipment is placed too sparsely, leading to missed monitoring areas and incomplete data collection, further affecting the prediction and early warning of geological disasters. Summary of the Invention

[0004] This invention overcomes the shortcomings of the prior art and provides a method and system for the layout of monitoring equipment in mining development areas.

[0005] To achieve the above objectives, the technical solution adopted by the present invention is as follows:

[0006] The first aspect of this invention discloses a method for the layout of monitoring equipment in a mining development area, comprising the following steps:

[0007] Obtain construction drawings of the mining area to be developed, determine the regional location of the mining area to be developed based on the construction drawings, and construct a real-time model of the mining area to be developed based on the regional location.

[0008] Obtain the location information of the construction area and the non-construction area of ​​the mining area to be developed. Based on the real-time model map, the location information of the construction area and the location information of the non-construction area, determine the layout area and the non-layout area of ​​the mining area to be developed.

[0009] Obtain the characteristic parameter information of the monitoring device, and obtain the first layout point and the second layout point of the monitoring device based on the characteristic parameter information and the layoutable area, and obtain the initial layout diagram of the monitoring device based on the first layout point and the second layout point.

[0010] Obtain the monitoring duration information of the monitoring equipment, and obtain the secondary layout diagram of the monitoring equipment based on the monitoring duration information and the initial layout diagram;

[0011] Obtain construction parameter information for each construction area location, construct a simulation model diagram of each construction area location after construction is completed based on the construction parameter information, obtain the final layout diagram of the monitoring equipment based on the simulation model diagram and the secondary layout diagram, generate the layout engineering diagram information of the monitoring equipment based on the final layout diagram, and output the layout engineering diagram information.

[0012] Preferably, in a preferred embodiment of the present invention, a real-time model map of the mining area to be developed is constructed based on the location of the area, specifically as follows:

[0013] Obtain 3D map information of the area's location, obtain an initial 3D model of the mining area to be developed based on the 3D map information, construct a pairing model based on a convolutional neural network, and import the initial 3D model into the pairing model;

[0014] The image information of objects in the area is collected using UAV remote sensing technology, and an object model is constructed based on the object image information.

[0015] The object model diagram is imported into the pairing model to pair the object model diagram with the corresponding object model in the initial 3D model diagram to obtain the pairing rate; the pairing rate is compared with the preset pairing rate.

[0016] Obtain the object model diagrams corresponding to the matching rates being less than the preset matching rates, and integrate the object model diagrams corresponding to the matching rates being less than the preset matching rates into the initial three-dimensional model diagram to obtain the real-time model diagram of the mining area to be developed.

[0017] Preferably, in a preferred embodiment of the present invention, the location information of the construction area and the location information of the non-construction area of ​​the mining area to be developed are obtained, and the deployable area and the non-deployable area of ​​the mining area to be developed are determined based on the real-time model map, the location information of the construction area, and the location information of the non-construction area, specifically as follows:

[0018] Based on the construction drawings of the mining area to be developed, the location information of the construction area and the location information of the non-construction area of ​​the mining area to be developed are obtained. Using the location information of the construction area and the location information of the non-construction area as the dividing criteria, the area location in the real-time model map corresponding to the location information of the construction area is divided into the construction area, and the area location in the real-time model map corresponding to the location information of the non-construction area is divided into the non-construction area.

[0019] A recognition model is constructed based on a convolutional neural network, and a pre-made object sample model is imported into the recognition model for training to obtain a trained recognition model.

[0020] Sub-model images of each non-construction area are separated from the real-time model image, and the sub-model images of each non-construction area are imported into the trained recognition model for recognition, so as to identify the similarity between all object models in the sub-model image and the prefabricated object sample model;

[0021] Mark the object models in the sub-model graph that have a similarity greater than the preset similarity, and mark the parallel projection position regions of the object models in the sub-model graph that have a similarity greater than the preset similarity as obstacle regions;

[0022] The areas within the construction area and obstacle area in the real-time model diagram are marked as non-layout areas of the mining area to be developed, and the areas outside the construction area and obstacle area in the real-time model diagram are marked as layout areas of the mining area to be developed.

[0023] Preferably, in a preferred embodiment of the present invention, characteristic parameter information of the monitoring device is obtained, and a first layout point and a second layout point of the monitoring device are obtained based on the characteristic parameter information and the layable area. An initial layout diagram of the monitoring device is then obtained based on the first layout point and the second layout point. Specifically:

[0024] Based on the aforementioned characteristic parameter information, the effective working diameter of the monitoring equipment is obtained. The effective working diameter of the monitoring equipment and the deployable area of ​​the mining area to be developed are then imported into the particle swarm optimization algorithm for solution, resulting in the optimal layout scheme of the monitoring equipment. Based on the optimal layout scheme, the first layout point of the monitoring equipment is obtained.

[0025] Based on the characteristic parameter information, the size parameters of the monitoring equipment are obtained. Based on the size parameters, a three-dimensional model of the monitoring equipment is constructed. Using the first layout point as the installation node, the three-dimensional model of the monitoring equipment is imported into the real-time model for simulated installation, resulting in a simulated installation diagram of the monitoring equipment.

[0026] Using the monitoring equipment in the simulated installation diagram as the projection center point and the effective working diameter of the monitoring equipment as the projection area, the monitoring equipment in the simulated installation diagram is projected and rendered based on the central projection method to obtain the rendered simulated installation diagram.

[0027] Determine whether there are non-shaded areas in the rendered simulated installation diagram. If so, mark the non-shaded areas as areas to be supplemented with monitoring equipment, and retrieve the second layout point based on the areas to be supplemented with monitoring equipment. Integrate the first layout point and the second layout point to obtain the initial layout point, and import the initial layout point into the real-time model diagram to obtain the initial layout diagram of the monitoring equipment.

[0028] Preferably, in a preferred embodiment of the present invention, the monitoring duration information of the monitoring device is obtained, and a secondary layout diagram of the monitoring device is obtained based on the monitoring duration information and the initial layout diagram, specifically as follows:

[0029] The average growth rate of different types of plants is obtained through big data, a prediction model is built based on a deep learning network, and the average growth rate of different types of plants is imported into the prediction model.

[0030] The system retrieves whether there are growing plants within a preset range for each initial layout point in the initial layout diagram. If there are growing plants within the preset range of the initial layout point, the corresponding growing plant category is identified and imported into the prediction model to obtain the preset average growth rate corresponding to the growing plant category.

[0031] The monitoring duration information of the monitoring equipment is obtained, and a final growth model diagram of the plants growing within a preset range of the initial layout point is constructed based on the monitoring duration information and the preset average growth rate.

[0032] The final growth model diagram is integrated into the initial layout diagram. It is determined whether there is any interference between the final growth model diagram in the initial layout diagram and the monitoring device. If there is any interference, the initial layout point with interference is marked as the interference layout point, and the interference layout point is removed from the initial layout diagram.

[0033] In the initial layout diagram, a substitute layout point is retrieved to replace the interference layout point, and the substitute layout point is imported into the initial layout diagram to obtain the secondary layout diagram of the monitoring equipment.

[0034] Preferably, in a preferred embodiment of the present invention, construction parameter information of each construction area is obtained, a simulation model of each construction area after construction is completed is constructed based on the construction parameter information, and the final layout diagram of the monitoring equipment is obtained based on the simulation model diagram and the secondary layout diagram, specifically:

[0035] Based on the construction drawings, construction parameter information for each construction area is obtained, and a simulation model of each construction area after construction is constructed based on the construction parameter information.

[0036] Obtain the positioning references of the simulation model diagram and the secondary layout diagram, construct a virtual space, import the simulation model diagram and the secondary layout diagram into the virtual space, and make the positioning references corresponding to the simulation model diagram and the secondary layout diagram coincide;

[0037] In the virtual space, the overlapping areas of the simulation model diagram and the secondary layout diagram are removed, and the non-overlapping areas of the simulation model diagram and the secondary layout diagram are retained to obtain the simulation construction model diagram of the mining area to be developed after construction is completed.

[0038] Using the monitoring equipment in the simulated construction model as the projection center point and the effective working diameter of the monitoring equipment as the projection area, the monitoring equipment in the simulated construction model is projected and rendered based on the central projection method to obtain the rendered simulated construction model.

[0039] Determine whether there is a second non-shaded area in the rendered simulated construction model. If so, mark the second non-shaded area as the second monitoring equipment area to be supplemented, retrieve the layout points to be supplemented based on the second monitoring equipment area to be supplemented, and import the layout points to be supplemented into the secondary layout diagram to obtain the final layout diagram of the monitoring equipment.

[0040] The second aspect of this invention discloses a layout system for monitoring equipment in a mining development area. The system includes a storage unit and a processor. The storage unit stores a method program for laying out monitoring equipment in a mining development area. When the processor executes the method program, it performs the following steps:

[0041] Obtain construction drawings of the mining area to be developed, determine the regional location of the mining area to be developed based on the construction drawings, and construct a real-time model of the mining area to be developed based on the regional location.

[0042] Obtain the location information of the construction area and the non-construction area of ​​the mining area to be developed. Based on the real-time model map, the location information of the construction area and the location information of the non-construction area, determine the layout area and the non-layout area of ​​the mining area to be developed.

[0043] Obtain the characteristic parameter information of the monitoring device, and obtain the first layout point and the second layout point of the monitoring device based on the characteristic parameter information and the layoutable area, and obtain the initial layout diagram of the monitoring device based on the first layout point and the second layout point.

[0044] Obtain the monitoring duration information of the monitoring equipment, and obtain the secondary layout diagram of the monitoring equipment based on the monitoring duration information and the initial layout diagram;

[0045] Obtain construction parameter information for each construction area location, construct a simulation model diagram of each construction area location after construction is completed based on the construction parameter information, obtain the final layout diagram of the monitoring equipment based on the simulation model diagram and the secondary layout diagram, generate the layout engineering diagram information of the monitoring equipment based on the final layout diagram, and output the layout engineering diagram information.

[0046] Preferably, in a preferred embodiment of the present invention, a real-time model map of the mining area to be developed is constructed based on the location of the area, specifically as follows:

[0047] Obtain 3D map information of the area's location, obtain an initial 3D model of the mining area to be developed based on the 3D map information, construct a pairing model based on a convolutional neural network, and import the initial 3D model into the pairing model;

[0048] The image information of objects in the area is collected using UAV remote sensing technology, and an object model is constructed based on the object image information.

[0049] The object model diagram is imported into the pairing model to pair the object model diagram with the corresponding object model in the initial 3D model diagram to obtain the pairing rate; the pairing rate is compared with the preset pairing rate.

[0050] Obtain the object model diagrams corresponding to the matching rates being less than the preset matching rates, and integrate the object model diagrams corresponding to the matching rates being less than the preset matching rates into the initial three-dimensional model diagram to obtain the real-time model diagram of the mining area to be developed.

[0051] Preferably, in a preferred embodiment of the present invention, the monitoring duration information of the monitoring device is obtained, and a secondary layout diagram of the monitoring device is obtained based on the monitoring duration information and the initial layout diagram, specifically as follows:

[0052] The average growth rate of different types of plants is obtained through big data, a prediction model is built based on a deep learning network, and the average growth rate of different types of plants is imported into the prediction model.

[0053] The system retrieves whether there are growing plants within a preset range for each initial layout point in the initial layout diagram. If there are growing plants within the preset range of the initial layout point, the corresponding growing plant category is identified and imported into the prediction model to obtain the preset average growth rate corresponding to the growing plant category.

[0054] The monitoring duration information of the monitoring equipment is obtained, and a final growth model diagram of the plants growing within a preset range of the initial layout point is constructed based on the monitoring duration information and the preset average growth rate.

[0055] The final growth model diagram is integrated into the initial layout diagram. It is determined whether there is any interference between the final growth model diagram in the initial layout diagram and the monitoring device. If there is any interference, the initial layout point with interference is marked as the interference layout point, and the interference layout point is removed from the initial layout diagram.

[0056] In the initial layout diagram, a substitute layout point is retrieved to replace the interference layout point, and the substitute layout point is imported into the initial layout diagram to obtain the secondary layout diagram of the monitoring equipment.

[0057] Preferably, in a preferred embodiment of the present invention, construction parameter information of each construction area is obtained, a simulation model of each construction area after construction is completed is constructed based on the construction parameter information, and the final layout diagram of the monitoring equipment is obtained based on the simulation model diagram and the secondary layout diagram, specifically:

[0058] Based on the construction drawings, construction parameter information for each construction area is obtained, and a simulation model of each construction area after construction is constructed based on the construction parameter information.

[0059] Obtain the positioning references of the simulation model diagram and the secondary layout diagram, construct a virtual space, import the simulation model diagram and the secondary layout diagram into the virtual space, and make the positioning references corresponding to the simulation model diagram and the secondary layout diagram coincide;

[0060] In the virtual space, the overlapping areas of the simulation model diagram and the secondary layout diagram are removed, and the non-overlapping areas of the simulation model diagram and the secondary layout diagram are retained to obtain the simulation construction model diagram of the mining area to be developed after construction is completed.

[0061] Using the monitoring equipment in the simulated construction model as the projection center point and the effective working diameter of the monitoring equipment as the projection area, the monitoring equipment in the simulated construction model is projected and rendered based on the central projection method to obtain the rendered simulated construction model.

[0062] Determine whether there is a second non-shaded area in the rendered simulated construction model. If so, mark the second non-shaded area as the second monitoring equipment area to be supplemented, retrieve the layout points to be supplemented based on the second monitoring equipment area to be supplemented, and import the layout points to be supplemented into the secondary layout diagram to obtain the final layout diagram of the monitoring equipment.

[0063] This invention addresses the technical deficiencies in the prior art and offers the following advantages: The method automatically plans and lays out the optimal locations for monitoring equipment in mining areas, eliminating the need for manual experience. By combining 3D map information with UAV remote sensing technology, it eliminates the need for workers to conduct on-site measurements, reducing labor intensity and improving layout efficiency. On one hand, it avoids missed monitoring areas, preventing incomplete data collection by monitoring equipment and ensuring a more rational layout. On the other hand, it prevents excessive monitoring redundancy due to the deployment of too many monitoring devices, thus reducing the operating costs of the monitoring equipment. Attached Figure Description

[0064] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other embodiments can be obtained from these drawings without creative effort.

[0065] Figure 1 A flowchart of the first method for the layout of monitoring equipment in a mining development area;

[0066] Figure 2 A flowchart of a second method for the layout of monitoring equipment in a mining development area;

[0067] Figure 3 A flowchart of a third method for the layout of monitoring equipment in a mining development area;

[0068] Figure 4 This is a system block diagram of a monitoring equipment layout system for a mining development area. Detailed Implementation

[0069] To better understand the above-mentioned objectives, features, and advantages of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be noted that, unless otherwise specified, the embodiments and features described in these embodiments can be combined with each other.

[0070] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and therefore the scope of protection of the invention is not limited to the specific embodiments disclosed below.

[0071] The first aspect of this invention discloses a method for the layout of monitoring equipment in a mining development area, such as... Figure 1 As shown, it includes the following steps:

[0072] S102: Obtain construction drawing information of the mining area to be developed, obtain the regional location of the mining area to be developed based on the construction drawing information, and construct a real-time model map of the mining area to be developed based on the regional location.

[0073] S104: Obtain the location information of the construction area and the non-construction area of ​​the mining area to be developed, and determine the layout area and the non-layout area of ​​the mining area to be developed based on the real-time model map, the location information of the construction area and the location information of the non-construction area.

[0074] S106: Obtain the characteristic parameter information of the monitoring device, obtain the first layout point and the second layout point of the monitoring device based on the characteristic parameter information and the layoutable area, and obtain the initial layout diagram of the monitoring device based on the first layout point and the second layout point.

[0075] S108: Obtain the monitoring duration information of the monitoring equipment, and obtain the secondary layout diagram of the monitoring equipment based on the monitoring duration information and the initial layout diagram;

[0076] S110: Obtain construction parameter information for each construction area location, construct a simulation model diagram of each construction area location after construction is completed based on the construction parameter information, obtain the final layout diagram of the monitoring equipment based on the simulation model diagram and the secondary layout diagram, generate the layout engineering diagram information of the monitoring equipment based on the final layout diagram, and output the layout engineering diagram information.

[0077] It should be noted that the construction drawing information is obtained by designers in advance through planning and design. The construction drawings include information such as the location of the development area of ​​the mining area to be developed, development date information, development project schedule information, equipment arrangement information, excavation depth information, excavation location information, and excavation dimensions. The location of the mining area to be developed refers to its latitude and longitude.

[0078] This method can automatically plan and lay out the optimal locations for monitoring equipment in mining areas, eliminating the need for manual experience. By combining 3D map information with UAV remote sensing technology, it eliminates the need for workers to conduct on-site measurements and surveys, reducing labor intensity and improving layout efficiency. On the one hand, it avoids missing monitoring areas, thus preventing incomplete data collection by monitoring equipment and making the layout of monitoring equipment more reasonable. On the other hand, it also avoids excessive monitoring redundancy caused by deploying too many monitoring devices, thereby reducing the operating costs of monitoring equipment.

[0079] Preferably, in a preferred embodiment of the present invention, a real-time model map of the mining area to be developed is constructed based on the location of the area, such as... Figure 2 As shown, specifically:

[0080] S202: Obtain three-dimensional map information of the location of the area, obtain an initial three-dimensional model of the mining area to be developed based on the three-dimensional map information, construct a pairing model based on a convolutional neural network, and import the initial three-dimensional model into the pairing model;

[0081] S204: Collect image information of objects in the area based on UAV remote sensing technology, and construct an object model map based on the object image information;

[0082] S206: Import the object model diagram into the pairing model to pair the object model diagram with the corresponding object model in the initial 3D model diagram to obtain the pairing rate; compare the pairing rate with the preset pairing rate;

[0083] S208: Obtain the object model diagram corresponding to the pairing rate being less than the preset pairing rate, and integrate the object model diagram corresponding to the pairing rate being less than the preset pairing rate into the initial three-dimensional model diagram to obtain the real-time model diagram of the mining area to be developed.

[0084] It should be noted that each geographical location has corresponding 3D map information, which can be directly obtained from map software. However, since the 3D maps in map software are not updated in real time, they are not real-time maps, and therefore there are certain differences between the 3D maps in map software and reality. Therefore, when planning the layout of monitoring equipment, the first step is to obtain the 3D map information of the area corresponding to the mining area through map software, thereby directly obtaining a rough 3D map of the terrain and landform of the mining area (i.e., the initial 3D model map). Since there are certain differences between the initial 3D model map and reality, drones are then used to obtain real-time object image information of the mining area, such as falling rocks, trees, and agricultural greenhouses. These real-time object model maps are then constructed using 3D modeling software, and the existence of these object models at the corresponding locations in the initial 3D model map is checked. If they do not exist, these object model maps are integrated into the initial 3D model map using 3D modeling software, thereby updating the initial 3D model map in real time and obtaining a real-time scene map of the mining area to be developed (i.e., the real-time model map). By combining 3D map information from existing map software with UAV remote sensing technology, a real-time scene model of the mining area can be quickly constructed. This method can reduce the amount of information collected by the UAV and the amount of computation in the modeling process, thereby improving the robustness of the system and increasing the efficiency of planning and layout.

[0085] Preferably, in a preferred embodiment of the present invention, the location information of the construction area and the location information of the non-construction area of ​​the mining area to be developed are obtained, and the deployable area and the non-deployable area of ​​the mining area to be developed are determined based on the real-time model map, the location information of the construction area, and the location information of the non-construction area, specifically as follows:

[0086] Based on the construction drawings of the mining area to be developed, the location information of the construction area and the location information of the non-construction area of ​​the mining area to be developed are obtained. Using the location information of the construction area and the location information of the non-construction area as the dividing criteria, the area location in the real-time model map corresponding to the location information of the construction area is divided into the construction area, and the area location in the real-time model map corresponding to the location information of the non-construction area is divided into the non-construction area.

[0087] A recognition model is constructed based on a convolutional neural network, and a pre-made object sample model is imported into the recognition model for training to obtain a trained recognition model.

[0088] Sub-model images of each non-construction area are separated from the real-time model image, and the sub-model images of each non-construction area are imported into the trained recognition model for recognition, so as to identify the similarity between all object models in the sub-model image and the prefabricated object sample model;

[0089] Mark the object models in the sub-model graph that have a similarity greater than the preset similarity, and mark the parallel projection position regions of the object models in the sub-model graph that have a similarity greater than the preset similarity as obstacle regions;

[0090] The areas within the construction area and obstacle area in the real-time model diagram are marked as non-layout areas of the mining area to be developed, and the areas outside the construction area and obstacle area in the real-time model diagram are marked as layout areas of the mining area to be developed.

[0091] It should be noted that within the entire mining area, there will be construction areas and non-construction areas. Construction areas are those that require mining during the mining process, such as mine shafts and tunnels; non-construction areas are those that do not require mining. The location and size information of both construction and non-construction areas can be directly obtained from the construction drawings. Because construction areas require mining, surveillance equipment such as cameras cannot be placed in these areas before mining begins; therefore, construction areas are considered non-construction areas. While non-construction areas do not require mining and can be considered as areas where surveillance equipment can be placed, some locations within these areas may contain natural resources such as trees and water sources. To protect the natural environment, when planning the placement of surveillance equipment, it is necessary to avoid placing surveillance equipment near trees, water sources, and other natural resources to prevent further damage to the ecosystem. Therefore, before planning the layout of monitoring equipment in the deployable areas, image information of trees and springs can be obtained through big data networks. Then, based on this image information, 3D modeling software can be used to construct model diagrams of trees and springs, resulting in a large number of prefabricated object sample models. After obtaining the prefabricated object sample models, a recognition model can be constructed to identify the locations of natural resources such as trees and springs in each deployable area. These areas can then be included in the non-deployable area category. This allows the subsequent planning of monitoring equipment placement points to avoid areas containing natural resources such as trees and springs, preventing damage to trees and springs during the installation of monitoring equipment. This further protects the natural environment and reduces the degree of ecological damage caused by mineral development.

[0092] Preferably, in a preferred embodiment of the present invention, characteristic parameter information of the monitoring device is obtained, and a first layout point and a second layout point of the monitoring device are obtained based on the characteristic parameter information and the layable area. An initial layout diagram of the monitoring device is then obtained based on the first layout point and the second layout point. Specifically:

[0093] Based on the aforementioned characteristic parameter information, the effective working diameter of the monitoring equipment is obtained. The effective working diameter of the monitoring equipment and the deployable area of ​​the mining area to be developed are then imported into the particle swarm optimization algorithm for solution, resulting in the optimal layout scheme of the monitoring equipment. Based on the optimal layout scheme, the first layout point of the monitoring equipment is obtained.

[0094] Based on the characteristic parameter information, the size parameters of the monitoring equipment are obtained. Based on the size parameters, a three-dimensional model of the monitoring equipment is constructed. Using the first layout point as the installation node, the three-dimensional model of the monitoring equipment is imported into the real-time model for simulated installation, resulting in a simulated installation diagram of the monitoring equipment.

[0095] Using the monitoring equipment in the simulated installation diagram as the projection center point and the effective working diameter of the monitoring equipment as the projection area, the monitoring equipment in the simulated installation diagram is projected and rendered based on the central projection method to obtain the rendered simulated installation diagram.

[0096] Determine whether there are non-shaded areas in the rendered simulated installation diagram. If so, mark the non-shaded areas as areas to be supplemented with monitoring equipment, and retrieve the second layout point based on the areas to be supplemented with monitoring equipment. Integrate the first layout point and the second layout point to obtain the initial layout point, and import the initial layout point into the real-time model diagram to obtain the initial layout diagram of the monitoring equipment.

[0097] It should be noted that the Particle Swarm Optimization (PSO) algorithm starts from a random solution and utilizes the information sharing among individuals in the swarm to cause the entire swarm's movement to evolve from disorder to order in the problem-solving space, thereby obtaining the optimal solution. This algorithm has advantages such as ease of implementation, high accuracy, and fast convergence, and has demonstrated significant superiority in solving practical problems. By repeatedly solving the deployable area of ​​the mining area to be developed using the PSO algorithm, the optimal layout scheme for monitoring equipment within the deployable area is obtained. The optimal layout scheme includes information on the location of the placement points, the layout paths of the monitoring equipment, and the number of monitoring equipment. The first placement point is the location information of the placement point extracted from the optimal layout scheme, and there are multiple first placement points. This method avoids excessive monitoring redundancy caused by deploying too many monitoring devices, resulting in a more rational layout of the monitoring equipment and reducing the operating costs of the monitoring equipment.

[0098] It should be noted that the characteristic parameter information includes the working range information, shape information, size information, and service life information of the monitoring equipment. After obtaining the first layout point information, a three-dimensional model of the monitoring equipment is constructed using 3D software. The 3D model of the monitoring equipment is then imported into the first layout point in the real-time model to simulate the installation of each monitoring device, resulting in a simulated installation diagram of the monitoring equipment. The monitoring equipment at each position in the simulated installation diagram is then projected and rendered for analysis. If there are non-shaded areas, it indicates that if the monitoring equipment is laid out according to the layout method of the first layout point, the monitoring range of some monitoring equipment may be affected by obstructions such as hills, pits, rocks, and trees in certain areas, leading to monitoring blind spots in the mining area. In this case, the monitoring blind spot information (i.e., the area where monitoring equipment needs to be added) is obtained, and a new layout point (i.e., the second layout point) is retrieved based on the location information and area information of the monitoring blind spot to monitor the blind spot. This method can automatically generate the initial layout points of monitoring equipment and identify existing monitoring blind spots based on the actual topography of the mining area. It can also supplement monitoring equipment in the blind spots, making the layout of monitoring equipment more reasonable, avoiding missed monitoring areas during mining, and preventing incomplete data collected by monitoring equipment, thereby ensuring the accuracy of geological disaster prediction and early warning.

[0099] Preferably, in a preferred embodiment of the present invention, the monitoring duration information of the monitoring device is obtained, and a secondary layout diagram of the monitoring device is obtained based on the monitoring duration information and the initial layout diagram, such as... Figure 3 As shown, specifically:

[0100] S302: Obtain the average growth rate of different types of growing plants through big data, construct a prediction model based on a deep learning network, and import the average growth rate of the different types of growing plants into the prediction model;

[0101] S304: Search for whether there are growing plants within a preset range for each initial layout point in the initial layout diagram. If there are growing plants within the preset range of the initial layout point, identify the corresponding growing plant category and import the corresponding growing plant category into the prediction model to obtain the preset average growth rate corresponding to the growing plant category.

[0102] S306: Obtain the monitoring duration information of the monitoring equipment, and construct the final growth model diagram of the plant growing within the preset range of the initial layout point based on the monitoring duration information and the preset average growth rate.

[0103] S308: Integrate the final growth model diagram into the initial layout diagram, determine whether there is any interference between the final growth model diagram in the initial layout diagram and the monitoring device, and if there is any interference, mark the initial layout point with interference as the interference layout point and remove the interference layout point from the initial layout diagram.

[0104] S310: Retrieve alternative layout points to replace the interference layout points in the initial layout diagram, and import the alternative layout points into the initial layout diagram to obtain a secondary layout diagram of the monitoring equipment.

[0105] It should be noted that since mining operations typically last for years, which is a long period of time, if there are trees or other growing plants in the vicinity of the monitoring equipment's location, these trees may obstruct the monitoring equipment after a period of mining, thus affecting the monitoring range and leading to blind spots in the monitoring after a period of mining. To address this issue, this method involves searching and identifying the vicinity of each initial layout point in the initial layout diagram to determine if any vegetation exists in the vicinity. If so, the monitoring duration information of the monitoring equipment is first obtained, which corresponds to the completion time of the mining project and can be directly obtained from the construction drawings. Then, the average preset growth rate of the corresponding vegetation is obtained from the prediction model. Based on the monitoring duration information and the average preset growth rate, the final growth model of the vegetation is simulated in a 3D model diagram and integrated into the initial layout diagram. This model analysis is used to predict the final growth state of the vegetation at the completion of the mining project. If there is interference between these final growth model diagrams and the monitoring equipment in the vicinity, the monitoring equipment is rearranged to avoid vegetation obstructing the monitoring equipment during mining, thus preventing the equipment from losing its monitoring function. This results in a more rational layout of the monitoring equipment, avoids missed monitoring areas during mining, and prevents incomplete data collection, thereby ensuring the accuracy of geological disaster prediction and early warning.

[0106] Preferably, in a preferred embodiment of the present invention, construction parameter information of each construction area is obtained, a simulation model of each construction area after construction is completed is constructed based on the construction parameter information, and the final layout diagram of the monitoring equipment is obtained based on the simulation model diagram and the secondary layout diagram, specifically:

[0107] Based on the construction drawings, construction parameter information for each construction area is obtained, and a simulation model of each construction area after construction is constructed based on the construction parameter information.

[0108] Obtain the positioning references of the simulation model diagram and the secondary layout diagram, construct a virtual space, import the simulation model diagram and the secondary layout diagram into the virtual space, and make the positioning references corresponding to the simulation model diagram and the secondary layout diagram coincide;

[0109] In the virtual space, the overlapping areas of the simulation model diagram and the secondary layout diagram are removed, and the non-overlapping areas of the simulation model diagram and the secondary layout diagram are retained to obtain the simulation construction model diagram of the mining area to be developed after construction is completed.

[0110] Using the monitoring equipment in the simulated construction model as the projection center point and the effective working diameter of the monitoring equipment as the projection area, the monitoring equipment in the simulated construction model is projected and rendered based on the central projection method to obtain the rendered simulated construction model.

[0111] Determine whether there is a second non-shaded area in the rendered simulated construction model. If so, mark the second non-shaded area as the second monitoring equipment area to be supplemented, retrieve the layout points to be supplemented based on the second monitoring equipment area to be supplemented, and import the layout points to be supplemented into the secondary layout diagram to obtain the final layout diagram of the monitoring equipment.

[0112] It should be noted that when the excavation depth of certain mine shafts or tunnels reaches a certain depth, the monitoring equipment in the secondary layout diagram may lose its monitoring field of view inside the mine shaft or tunnel. For example, when monitoring a mine shaft with a certain monitoring equipment, the entire view of the mine shaft can be monitored until the excavation depth reaches 10 meters. However, when the excavation depth is between 10 and 20 meters, the monitoring equipment will gradually lose its monitoring field of view, until it completely loses its monitoring field of view after 20 meters. This will lead to monitoring blind spots in the mine shaft or tunnel after a period of mining. To avoid this phenomenon, this method first constructs a simulation model of the construction area after construction is completed using 3D software based on the construction parameter information, such as a simulation model of a mine shaft after excavation is completed. The construction parameter information includes the construction depth information, construction width information, and construction shape information of the construction area. Then, a virtual space is constructed using 3D software. The simulated model diagram and the secondary layout diagram after construction are then imported into this virtual space for fusion processing, resulting in a simulated construction model diagram of the mining area after construction is completed. This simulated construction model diagram represents the simulated model diagram after the mining of the target mineral is completed, and it contains simulated information about the mine shafts and tunnels after excavation. Next, the monitoring equipment at each location in the simulated construction model diagram is rendered and analyzed. If a second non-shaded area exists, it indicates that if the monitoring equipment is laid out according to the layout points in the secondary layout diagram, the monitoring field of view of some monitoring equipment will be lost due to the excavation depth of the mine shafts and tunnels, resulting in monitoring blind spots in the mining area. In this case, the second non-shaded area is marked as the second area to be supplemented with monitoring equipment. Based on this second area, the layout points to be supplemented are retrieved and imported into the secondary layout diagram to obtain the final layout diagram of the monitoring equipment. The final layout diagram then generates layout engineering diagram information for the monitoring equipment, which includes information such as the layout location points, layout path diagram, and number of monitoring equipment units. This method can identify whether monitoring equipment has lost its monitoring field of view during mining operations, and can supplement monitoring equipment based on the lost monitoring field of view, making the layout of monitoring equipment more reasonable, avoiding missed monitoring areas during mining operations, and avoiding incomplete data collection by monitoring equipment, thereby ensuring the accuracy of geological disaster prediction and early warning.

[0113] In addition, after the step of collecting image information of objects in the area based on UAV remote sensing technology, the following steps are also included:

[0114] A vector analysis model is constructed, and the object image information is imported into the vector analysis model for feature vector analysis to obtain orthogonal matrices and diagonal matrices;

[0115] Construct a coordinate system and import the orthogonal matrix and diagonal matrix into the coordinate system. Select any limit vector of the orthogonal matrix and diagonal matrix as the origin of the coordinate system. Perform vector decomposition on the orthogonal matrix and diagonal matrix based on the origin of the coordinate system to obtain a set of coordinates.

[0116] Obtain the extreme coordinate points in the set of coordinates, and collect the extreme coordinate points to obtain the set of extreme coordinate points;

[0117] The set of extreme coordinate points is imported into the world coordinate system, and the extreme coordinate points are then recombined in the world coordinate system to generate the processed object image.

[0118] It should be noted that median filters and morphological filters are used to process the images initially acquired by the UAV for denoising and filtering. Singular value decomposition (SVD) is employed to decompose the object image information acquired by the UAV, resulting in orthogonal and diagonal matrices. The processed object image is then reconstructed based on these matrices. This method eliminates the excessive image redundancy caused by factors such as shooting angle and altitude in UAV camera systems, resulting in object images that more closely resemble the actual objects. This leads to more accurate object models in subsequent system design, improving the accuracy of subsequent monitoring equipment layout and resulting in a more rational deployment of monitoring equipment.

[0119] In addition, a method for deploying monitoring equipment in a mining development area also includes the following steps:

[0120] Geological and physical-chemical properties information of each construction area in the mining area to be developed is obtained; search keywords are constructed based on the geological and physical-chemical properties information; relevant data of big data are retrieved based on the search keywords; and theoretical internal stress values ​​of each construction area are obtained based on the relevant data.

[0121] A simulated construction model of the mining area to be developed after construction is obtained. A stress analysis model is constructed based on a deep learning network. The simulated construction model is then imported into the stress analysis model for finite element analysis to obtain the internal stress distribution diagram of the simulated construction model.

[0122] The maximum stress value of each construction area is obtained from the internal stress distribution diagram, and the maximum stress value of each construction area is compared with the theoretical internal stress value of the corresponding construction area to obtain the stress deviation value. It is then determined whether the stress deviation value is greater than a preset deviation threshold.

[0123] If the stress deviation value is greater than a preset deviation threshold, the construction area corresponding to the stress deviation value being greater than the preset deviation threshold is marked as a dangerous construction area.

[0124] It should be noted that the geological and physicochemical characteristics information includes stratigraphic structure information, geological composition information, average stratigraphic temperature information, and average stratigraphic humidity information. After excavation in the construction area, the strata release the original internal stress of the excavated portion, causing a sudden stress redistribution in the surrounding rock and an increase in rock fissures. When the internal stress is too high, it can lead to geological disasters such as collapse and settlement. This method can analyze the internal stress of the strata in the construction area, thereby identifying construction areas with excessive internal stress released during construction and marking these areas as hazardous processing areas. At this point, more monitoring cameras and corresponding geological sensors can be deployed in these areas to collect more comprehensive geological data during construction, thereby improving the accuracy of geological disaster early warning and prediction.

[0125] In addition, a method for deploying monitoring equipment in a mining development area also includes the following steps:

[0126] Obtain the layout location node information of each monitoring device and the corresponding IP address information of each monitoring device. Based on the layout location node information and IP address information, obtain the signal response area of ​​each monitoring device.

[0127] The signal information fed back by each signal response area is obtained by a remote signal testing terminal, and it is determined whether the remote signal testing terminal can receive the signal information fed back by the signal response area within a preset time period.

[0128] If the remote signal testing terminal cannot receive the signal information fed back from the signal response area within a preset time period, the monitoring device corresponding to the signal response area will be marked as a faulty device.

[0129] If the remote signal testing terminal can receive the signal information fed back from the signal response area within a preset time period, then the number of times the signal information is switched on and off within the preset time period is obtained, and it is determined whether the number of times the signal is switched on and off is greater than the preset number.

[0130] If the value is greater than the specified value, the monitoring device corresponding to the signal response area will be marked as a faulty device.

[0131] It should be noted that the remote signal testing terminal is a signal receiver. After each monitoring device acquires the geological data information of the corresponding area, the signal transmitter in the monitoring device will transmit the signal to the remote signal receiver. If the remote signal receiver cannot receive the signal information transmitted by the signal transmitter, or if the signal information received by the remote signal receiver is intermittent within a preset time, it indicates that the signal generator of the monitoring device has malfunctioned. At this time, the control system will mark the monitoring device corresponding to the signal response area as a faulty device, generate a fault report, and then notify the maintenance personnel to repair the corresponding monitoring device to ensure the validity of data transmission, ensure that the monitoring device can work effectively, avoid missing monitoring areas, and thus avoid incomplete data collection by the monitoring device.

[0132] like Figure 4 As shown, the second aspect of this invention discloses a layout system for monitoring equipment in a mining area. The layout system includes a storage unit 41 and a processor 62. The storage unit 41 stores a method program for laying out monitoring equipment in a mining area. When the processor 62 executes the method program, it performs the following steps:

[0133] Obtain construction drawings of the mining area to be developed, determine the regional location of the mining area to be developed based on the construction drawings, and construct a real-time model of the mining area to be developed based on the regional location.

[0134] Obtain the location information of the construction area and the non-construction area of ​​the mining area to be developed. Based on the real-time model map, the location information of the construction area and the location information of the non-construction area, determine the layout area and the non-layout area of ​​the mining area to be developed.

[0135] Obtain the characteristic parameter information of the monitoring device, and obtain the first layout point and the second layout point of the monitoring device based on the characteristic parameter information and the layoutable area, and obtain the initial layout diagram of the monitoring device based on the first layout point and the second layout point.

[0136] Obtain the monitoring duration information of the monitoring equipment, and obtain the secondary layout diagram of the monitoring equipment based on the monitoring duration information and the initial layout diagram;

[0137] Obtain construction parameter information for each construction area location, construct a simulation model diagram of each construction area location after construction is completed based on the construction parameter information, obtain the final layout diagram of the monitoring equipment based on the simulation model diagram and the secondary layout diagram, generate the layout engineering diagram information of the monitoring equipment based on the final layout diagram, and output the layout engineering diagram information.

[0138] Preferably, in a preferred embodiment of the present invention, a real-time model map of the mining area to be developed is constructed based on the location of the area, specifically as follows:

[0139] Obtain 3D map information of the area's location, obtain an initial 3D model of the mining area to be developed based on the 3D map information, construct a pairing model based on a convolutional neural network, and import the initial 3D model into the pairing model;

[0140] The image information of objects in the area is collected using UAV remote sensing technology, and an object model is constructed based on the object image information.

[0141] The object model diagram is imported into the pairing model to pair the object model diagram with the corresponding object model in the initial 3D model diagram to obtain the pairing rate; the pairing rate is compared with the preset pairing rate.

[0142] Obtain the object model diagrams corresponding to the matching rates being less than the preset matching rates, and integrate the object model diagrams corresponding to the matching rates being less than the preset matching rates into the initial three-dimensional model diagram to obtain the real-time model diagram of the mining area to be developed.

[0143] Preferably, in a preferred embodiment of the present invention, the monitoring duration information of the monitoring device is obtained, and a secondary layout diagram of the monitoring device is obtained based on the monitoring duration information and the initial layout diagram, specifically as follows:

[0144] The average growth rate of different types of plants is obtained through big data, a prediction model is built based on a deep learning network, and the average growth rate of different types of plants is imported into the prediction model.

[0145] The system retrieves whether there are growing plants within a preset range for each initial layout point in the initial layout diagram. If there are growing plants within the preset range of the initial layout point, the corresponding growing plant category is identified and imported into the prediction model to obtain the preset average growth rate corresponding to the growing plant category.

[0146] The monitoring duration information of the monitoring equipment is obtained, and a final growth model diagram of the plants growing within a preset range of the initial layout point is constructed based on the monitoring duration information and the preset average growth rate.

[0147] The final growth model diagram is integrated into the initial layout diagram. It is determined whether there is any interference between the final growth model diagram in the initial layout diagram and the monitoring device. If there is any interference, the initial layout point with interference is marked as the interference layout point, and the interference layout point is removed from the initial layout diagram.

[0148] In the initial layout diagram, a substitute layout point is retrieved to replace the interference layout point, and the substitute layout point is imported into the initial layout diagram to obtain the secondary layout diagram of the monitoring equipment.

[0149] Preferably, in a preferred embodiment of the present invention, construction parameter information of each construction area is obtained, a simulation model of each construction area after construction is completed is constructed based on the construction parameter information, and the final layout diagram of the monitoring equipment is obtained based on the simulation model diagram and the secondary layout diagram, specifically:

[0150] Based on the construction drawings, construction parameter information for each construction area is obtained, and a simulation model of each construction area after construction is constructed based on the construction parameter information.

[0151] Obtain the positioning references of the simulation model diagram and the secondary layout diagram, construct a virtual space, import the simulation model diagram and the secondary layout diagram into the virtual space, and make the positioning references corresponding to the simulation model diagram and the secondary layout diagram coincide;

[0152] In the virtual space, the overlapping areas of the simulation model diagram and the secondary layout diagram are removed, and the non-overlapping areas of the simulation model diagram and the secondary layout diagram are retained to obtain the simulation construction model diagram of the mining area to be developed after construction is completed.

[0153] Using the monitoring equipment in the simulated construction model as the projection center point and the effective working diameter of the monitoring equipment as the projection area, the monitoring equipment in the simulated construction model is projected and rendered based on the central projection method to obtain the rendered simulated construction model.

[0154] Determine whether there is a second non-shaded area in the rendered simulated construction model. If so, mark the second non-shaded area as the second monitoring equipment area to be supplemented, retrieve the layout points to be supplemented based on the second monitoring equipment area to be supplemented, and import the layout points to be supplemented into the secondary layout diagram to obtain the final layout diagram of the monitoring equipment.

[0155] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods, such as: multiple units or components can be combined, or integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the various components shown or discussed can be through some interfaces, and the indirect coupling or communication connection between devices or units can be electrical, mechanical, or other forms.

[0156] The units described above as separate components may or may not be physically separate. The components shown as units may or may not be physical units. They may be located in one place or distributed across multiple network units. Some or all of the units may be selected to achieve the purpose of this embodiment according to actual needs.

[0157] In addition, in the various embodiments of the present invention, each functional unit can be integrated into one processing unit, or each unit can be a separate unit, or two or more units can be integrated into one unit; the integrated unit can be implemented in hardware or in the form of hardware plus software functional units.

[0158] Those skilled in the art will understand that all or part of the steps of the above method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it performs the steps of the above method embodiments. The aforementioned storage medium includes various media capable of storing program code, such as mobile storage devices, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0159] Alternatively, if the integrated units of this invention are implemented as software functional modules and sold or used as independent products, they can also be stored in a computer-readable storage medium. Based on this understanding, the technical solutions of the embodiments of this invention, or the parts that contribute to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the methods of the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as mobile storage devices, ROM, RAM, magnetic disks, or optical disks.

[0160] The above are merely specific embodiments of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method for arranging monitoring equipment in a mining development area, characterized in that, Includes the following steps: Obtain construction drawings of the mining area to be developed, determine the regional location of the mining area to be developed based on the construction drawings, and construct a real-time model of the mining area to be developed based on the regional location. Obtain the location information of the construction area and the non-construction area of ​​the mining area to be developed. Based on the real-time model map, the location information of the construction area and the location information of the non-construction area, determine the layout area and the non-layout area of ​​the mining area to be developed. Obtain the characteristic parameter information of the monitoring device, and obtain the first layout point and the second layout point of the monitoring device based on the characteristic parameter information and the layoutable area, and obtain the initial layout diagram of the monitoring device based on the first layout point and the second layout point. Obtain the monitoring duration information of the monitoring equipment, and obtain the secondary layout diagram of the monitoring equipment based on the monitoring duration information and the initial layout diagram; Obtain construction parameter information for each construction area location, construct a simulation model diagram of each construction area location after construction is completed based on the construction parameter information, obtain the final layout diagram of the monitoring equipment based on the simulation model diagram and the secondary layout diagram, generate the layout engineering diagram information of the monitoring equipment based on the final layout diagram, and output the layout engineering diagram information. This method also includes: Geological and physical-chemical properties information of each construction area in the mining area to be developed is obtained; search keywords are constructed based on the geological and physical-chemical properties information; relevant data of big data are retrieved based on the search keywords; and theoretical internal stress values ​​of each construction area are obtained based on the relevant data. A simulated construction model of the mining area to be developed after construction is obtained. A stress analysis model is constructed based on a deep learning network. The simulated construction model is then imported into the stress analysis model for finite element analysis to obtain the internal stress distribution diagram of the simulated construction model. The maximum stress value of each construction area is obtained from the internal stress distribution diagram, and the maximum stress value of each construction area is compared with the theoretical internal stress value of the corresponding construction area to obtain the stress deviation value. It is then determined whether the stress deviation value is greater than a preset deviation threshold. If the stress deviation value is greater than a preset deviation threshold, the construction area corresponding to the stress deviation value being greater than the preset deviation threshold is marked as a dangerous construction area. Obtain the layout location node information of each monitoring device and the corresponding IP address information of each monitoring device. Based on the layout location node information and IP address information, obtain the signal response area of ​​each monitoring device. The signal information fed back by each signal response area is obtained by a remote signal testing terminal, and it is determined whether the remote signal testing terminal can receive the signal information fed back by the signal response area within a preset time period. If the remote signal testing terminal cannot receive the signal information fed back from the signal response area within a preset time period, the monitoring device corresponding to the signal response area will be marked as a faulty device. If the remote signal testing terminal can receive the signal information fed back from the signal response area within a preset time period, then the number of times the signal information is switched on and off within the preset time period is obtained, and it is determined whether the number of times the signal is switched on and off is greater than the preset number. If the value is greater than the specified value, the monitoring device corresponding to the signal response area will be marked as a faulty device.

2. The method for arranging monitoring equipment in a mining development area according to claim 1, characterized in that, Based on the aforementioned regional location, a real-time model map of the mining area to be developed is constructed, specifically as follows: Obtain 3D map information of the area's location, obtain an initial 3D model of the mining area to be developed based on the 3D map information, construct a pairing model based on a convolutional neural network, and import the initial 3D model into the pairing model; The image information of objects in the area is collected using UAV remote sensing technology, and an object model is constructed based on the object image information. The object model diagram is imported into the pairing model to pair the object model diagram with the corresponding object model in the initial 3D model diagram to obtain the pairing rate; The matching rate is compared with a preset matching rate; Obtain the object model diagrams corresponding to the matching rates being less than the preset matching rates, and integrate the object model diagrams corresponding to the matching rates being less than the preset matching rates into the initial three-dimensional model diagram to obtain the real-time model diagram of the mining area to be developed.

3. The method for arranging monitoring equipment in a mining development area according to claim 1, characterized in that, Obtain the location information of the construction area and the non-construction area of ​​the mining area to be developed. Based on the real-time model map, the location information of the construction area, and the location information of the non-construction area, determine the deployable area and the non-deployable area of ​​the mining area to be developed. Specifically: Based on the construction drawings of the mining area to be developed, the location information of the construction area and the location information of the non-construction area of ​​the mining area to be developed are obtained. Using the location information of the construction area and the location information of the non-construction area as the dividing criteria, the area location in the real-time model map corresponding to the location information of the construction area is divided into the construction area, and the area location in the real-time model map corresponding to the location information of the non-construction area is divided into the non-construction area. A recognition model is constructed based on a convolutional neural network, and a pre-made object sample model is imported into the recognition model for training to obtain a trained recognition model. Sub-model images of each non-construction area are separated from the real-time model image, and the sub-model images of each non-construction area are imported into the trained recognition model for recognition, so as to identify the similarity between all object models in the sub-model image and the prefabricated object sample model; Mark the object models in the sub-model graph that have a similarity greater than the preset similarity, and mark the parallel projection position regions of the object models in the sub-model graph that have a similarity greater than the preset similarity as obstacle regions; The areas within the construction area and obstacle area in the real-time model diagram are marked as non-layout areas of the mining area to be developed, and the areas outside the construction area and obstacle area in the real-time model diagram are marked as layout areas of the mining area to be developed.

4. The method for arranging monitoring equipment in a mining development area according to claim 1, characterized in that, Obtain the characteristic parameter information of the monitoring device, and based on the characteristic parameter information and the deployable area, obtain the first and second layout points of the monitoring device. Based on the first and second layout points, obtain the initial layout diagram of the monitoring device, specifically as follows: Based on the aforementioned characteristic parameter information, the effective working diameter of the monitoring equipment is obtained. The effective working diameter of the monitoring equipment and the deployable area of ​​the mining area to be developed are then imported into the particle swarm optimization algorithm for solution, resulting in the optimal layout scheme of the monitoring equipment. Based on the optimal layout scheme, the first layout point of the monitoring equipment is obtained. Based on the characteristic parameter information, the size parameters of the monitoring equipment are obtained. Based on the size parameters, a three-dimensional model of the monitoring equipment is constructed. Using the first layout point as the installation node, the three-dimensional model of the monitoring equipment is imported into the real-time model for simulated installation, resulting in a simulated installation diagram of the monitoring equipment. Using the monitoring equipment in the simulated installation diagram as the projection center point and the effective working diameter of the monitoring equipment as the projection area, the monitoring equipment in the simulated installation diagram is projected and rendered based on the central projection method to obtain the rendered simulated installation diagram. Determine whether there are non-shaded areas in the rendered simulated installation diagram. If so, mark the non-shaded areas as areas to be supplemented with monitoring equipment, and retrieve the second layout point based on the areas to be supplemented with monitoring equipment. Integrate the first layout point and the second layout point to obtain the initial layout point, and import the initial layout point into the real-time model diagram to obtain the initial layout diagram of the monitoring equipment.

5. The method for arranging monitoring equipment in a mining development area according to claim 1, characterized in that, Obtain the monitoring duration information of the monitoring equipment, and based on the monitoring duration information and the initial layout diagram, obtain the secondary layout diagram of the monitoring equipment, specifically as follows: The average growth rate of different types of plants is obtained through big data, a prediction model is built based on a deep learning network, and the average growth rate of different types of plants is imported into the prediction model. The system retrieves whether there are growing plants within a preset range for each initial layout point in the initial layout diagram. If there are growing plants within the preset range of the initial layout point, the corresponding growing plant category is identified and imported into the prediction model to obtain the preset average growth rate corresponding to the growing plant category. The monitoring duration information of the monitoring equipment is obtained, and a final growth model diagram of the plants growing within a preset range of the initial layout point is constructed based on the monitoring duration information and the preset average growth rate. The final growth model diagram is integrated into the initial layout diagram. It is determined whether there is any interference between the final growth model diagram in the initial layout diagram and the monitoring device. If there is any interference, the initial layout point with interference is marked as the interference layout point, and the interference layout point is removed from the initial layout diagram. In the initial layout diagram, a substitute layout point is retrieved to replace the interference layout point, and the substitute layout point is imported into the initial layout diagram to obtain the secondary layout diagram of the monitoring equipment.

6. The method for arranging monitoring equipment in a mining development area according to claim 1, characterized in that, The construction parameter information of each construction area is obtained. Based on the construction parameter information, a simulation model of each construction area after construction is completed is constructed. Based on the simulation model and the secondary layout diagram, the final layout diagram of the monitoring equipment is obtained, specifically: Based on the construction drawings, construction parameter information for each construction area is obtained, and a simulation model of each construction area after construction is constructed based on the construction parameter information. Obtain the positioning references of the simulation model diagram and the secondary layout diagram, construct a virtual space, import the simulation model diagram and the secondary layout diagram into the virtual space, and make the positioning references corresponding to the simulation model diagram and the secondary layout diagram coincide; In the virtual space, the overlapping areas of the simulation model diagram and the secondary layout diagram are removed, and the non-overlapping areas of the simulation model diagram and the secondary layout diagram are retained to obtain the simulation construction model diagram of the mining area to be developed after construction is completed. Using the monitoring equipment in the simulated construction model as the projection center point and the effective working diameter of the monitoring equipment as the projection area, the monitoring equipment in the simulated construction model is projected and rendered based on the central projection method to obtain the rendered simulated construction model. Determine whether there is a second non-shaded area in the rendered simulated construction model. If so, mark the second non-shaded area as the second monitoring equipment area to be supplemented, retrieve the layout points to be supplemented based on the second monitoring equipment area to be supplemented, and import the layout points to be supplemented into the secondary layout diagram to obtain the final layout diagram of the monitoring equipment.

7. A layout system for monitoring equipment in a mining development area, characterized in that, The layout system includes a storage device and a processor. The storage device stores a layout method program for monitoring equipment in a mining development area. When the processor executes the layout method program for monitoring equipment in a mining development area, it implements the steps of a layout method for monitoring equipment in a mining development area as described in any one of claims 1-6.

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