Network inspection method, device and system, computer equipment and storage medium

Abstract

The invention relates to a network inspection method, device and system, computer equipment and a storage medium, and the method comprises the steps: obtaining a surface mine network inspection route which comprises an inspection route moving between a target step flat plate area and a plurality of target step flat plate areas; controlling the unmanned aerial vehicle equipment to fly in a simulated manner according to the surface mine network inspection route, and controlling a network detection assembly carried by the unmanned aerial vehicle equipment to collect target network data in the flight process of the unmanned aerial vehicle equipment; and generating a surface mine network quality three-dimensional distribution diagram according to the target network data. According to the method, the unmanned aerial vehicle equipment is controlled to perform imitated flight in the target step flat plate area by acquiring the inspection route with continuous elevation between the step flat plates of the surface mine, and the network data is acquired in the flight process, so that automatic network inspection of the surface mine can be realized, and the network inspection efficiency of the surface mine is greatly improved; and the mine production efficiency is improved.

Description

Technical Field

[0001] The present application relates to the technical field of production safety monitoring, and in particular to a network inspection method, apparatus, system, computer equipment, and storage medium. Background Art

[0002] With the rapid development of network technology, unmanned mining trucks used in mines have been rapidly promoted and implemented in open-pit mining production scenarios. Since unmanned mining trucks rely on wireless networks and cloud platforms and need to communicate with other mining trucks through wireless networks and cloud platforms, the quality of wireless networks is crucial to the safe driving and operational efficiency of unmanned mining trucks.

[0003] In current practice, after base stations and antennas undergo periodic adjustments to accommodate changes in mine operations and transportation areas, manual inspections of the adjusted areas are required using measuring instruments. This inspection efficiency seriously impacts wireless network operation and maintenance efficiency, which in turn affects mine production efficiency. Summary of the Invention

[0004] Based on this, it is necessary to provide a network inspection method, device, system, computer equipment and storage medium that can efficiently complete network quality inspection of open-pit mines without increasing inspection costs in response to the above technical problems.

[0005] In a first aspect, the present application provides a network inspection method, comprising:

[0006] Acquire an open-pit mine network inspection route, wherein the open-pit mine network inspection route includes an inspection route moving within a target step flat plate area and between multiple target step flat plate areas;

[0007] Controlling the UAV device to fly along the open-pit mine network inspection route, and controlling the network detection component carried by the UAV device to collect target network data during the flight of the UAV device;

[0008] A three-dimensional distribution map of open-pit mine network quality is generated according to the target network data.

[0009] In one embodiment, obtaining the open-pit mine network inspection route includes:

[0010] Acquire a network inspection area, wherein the network inspection area includes a base station antenna coverage area;

[0011] A plurality of target step flat areas are obtained according to the elevation data of the sampling points within the network inspection area, wherein the elevation data difference between the sampling points within the target step flat area is less than or equal to a preset threshold;

[0012] Obtaining a first moving route located in each target step flat plate area based on the sampling points in the target step flat plate area;

[0013] Obtaining a second moving route between each target step flat plate area based on the sampling points between adjacent target step flat plate areas;

[0014] The open-pit mine network inspection route is obtained by connecting the first movement routes and the second movement routes in a preset order.

[0015] In one embodiment, obtaining the network inspection area includes:

[0016] Obtain the three-dimensional coordinates of the base station, antenna orientation, the three-dimensional pattern model of the base station antenna, and the three-dimensional surface model of the open-pit mine;

[0017] Calculate the base station antenna coverage area according to the three-dimensional coordinates, the antenna orientation, the three-dimensional pattern model, and the three-dimensional surface model;

[0018] The network inspection area is determined according to the base station antenna coverage area.

[0019] In one embodiment, the plurality of target step flat areas are obtained by dividing the elevation data of the sampling points within the network inspection area, including:

[0020] Sampling the three-dimensional surface of the base station antenna coverage area according to a preset resolution to obtain a three-dimensional point set;

[0021] Traversing the three-dimensional point set, obtaining a combined point set consisting of a target point and adjacent points of the target point, wherein the elevation data of one target point corresponds to the elevation data of one target step flat plate area;

[0022] Selecting candidate points whose elevation data difference with the target point is less than a preset threshold from the combined point set to obtain a candidate point set, wherein one candidate point set corresponds to one target step plate area;

[0023] A plurality of target step flat plate areas are obtained according to a plurality of candidate point sets.

[0024] In one embodiment, obtaining the open-pit mine network inspection route further includes:

[0025] Acquire boundary sampling points located at the boundary of the network inspection area, and determine path entry points and path exit points from the boundary sampling points;

[0026] Calculating the movement costs between all adjacent sampling points in the network inspection area;

[0027] An optimal inspection path is calculated based on the path entry point, the path exit point, the movement cost and a preset traveling salesman problem algorithm, and the optimal inspection path is used as the open-pit mine network inspection route.

[0028] In one embodiment, controlling the network detection component carried by the drone device to collect target network data during the flight of the drone device includes:

[0029] Collecting first network data through a first network detection method, wherein the first network detection method is a detection method for collecting network quality parameters based on a hardware module;

[0030] Collecting second network data through a second network detection method, wherein the second network detection method is a detection method for collecting network quality parameters based on a software module;

[0031] The target network data is obtained according to the first network data and the second network data.

[0032] In a second aspect, the present application further provides a network inspection device, comprising:

[0033] A route acquisition module is used to acquire an open-pit mine network inspection route, wherein the open-pit mine network inspection route includes an inspection route moving within a target step flat plate area and between multiple target step flat plate areas;

[0034] A flight control module is used to control the UAV device to fly along the open-pit mine network inspection route and control the network detection component carried by the UAV device to collect target network data during the flight of the UAV device;

[0035] The network analysis module is used to generate a three-dimensional distribution map of the open-pit mine network quality based on the target network data.

[0036] In a third aspect, the present application further provides a network inspection system, characterized in that it includes a control terminal and an unmanned aerial vehicle device, wherein the unmanned aerial vehicle device is equipped with a network detection component; the control terminal is communicatively connected to the unmanned aerial vehicle device and the network detection component respectively;

[0037] The control terminal is used to implement the steps of the network inspection method described in the first aspect.

[0038] In a fourth aspect, the present application further provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the network inspection method described in the first aspect when executing the computer program.

[0039] In a fifth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the network inspection method described in the first aspect.

[0040] In a sixth aspect, the present application further provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, it implements the steps of the network inspection method described in the first aspect.

[0041] In summary, the present application proposes a network inspection method, apparatus, system, computer equipment, and storage medium, including: obtaining an open-pit mine network inspection route, wherein the open-pit mine network inspection route includes an inspection route that moves between a target step flat plate area and multiple target step flat plate areas; controlling a drone device to simulate ground flight according to the open-pit mine network inspection route, and controlling a network detection component carried by the drone device to collect target network data during the flight of the drone device; and generating a three-dimensional distribution map of the open-pit mine network quality based on the target network data. The present application can realize automatic network inspection of open-pit mines by obtaining an inspection route with continuous elevations between the step flat plates of the open-pit mine, controlling the drone device to simulate ground flight in the target step flat plate area, and collecting network data during the flight, thereby greatly improving the network inspection efficiency of open-pit mines and thereby improving mine production efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 is a structural block diagram of a network inspection system in one embodiment;

[0043] Figure 2 1 is a flow chart of a network inspection method according to an embodiment;

[0044] Figure 3 A schematic diagram of a process flow for obtaining a network inspection route for an open-pit mine in one embodiment;

[0045] Figure 4 A schematic diagram of an application scenario of an open-pit mine network inspection route in one embodiment;

[0046] Figure 5 A schematic diagram of a process flow for determining a network inspection area in one embodiment;

[0047] Figure 6 A schematic flow chart of steps for dividing and obtaining multiple target step flat plate areas in one embodiment;

[0048] Figure 7 A schematic flow chart of steps for obtaining an open-pit mine network inspection route in another embodiment;

[0049] Figure 8A schematic diagram of a process flow for collecting target network data in one embodiment;

[0050] Figure 9 is a structural block diagram of a network inspection device in one embodiment;

[0051] Figure 10 FIG. 1 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0052] In order to make the purpose, technical solutions and advantages of this application more clearly understood, the present application is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0053] The network inspection method provided in the embodiment of the present application can be applied to Figure 1 The network inspection system shown in FIG. 1 includes at least a control terminal 102 and a drone device 106 , wherein the drone device 106 carries a network detection component 108 , and the control terminal 102 is in communication with the drone device 106 and the network detection component 108 , respectively.

[0054] In specific application scenarios, the network inspection system may also include a drone airport terminal for communicating flight instructions with the drone device 106. The control terminal 102 can send a network inspection task command to the drone airport terminal, which then interprets the network inspection task command to obtain a flight instruction with a corresponding inspection route. The drone airport terminal then sends the flight instruction to the drone device 106 via the drone airport terminal, causing the drone device 106 to fly along the corresponding inspection route. It should be noted that the control terminal 102 may also send the corresponding flight instruction directly to the drone device 106. The specific communication method between the control terminal 102 and the drone device 106 can be determined based on the actual application scenario.

[0055] In this embodiment, the network detection component 108 includes multiple network quality parameter measurement modules, such as a scenario measurement module, a bandwidth delay measurement module, and a trajectory measurement module. The control terminal 102 can send a response traffic simulation instruction to the network detection component 108, causing it to collect network quality parameters. In this embodiment, the network quality parameters fed back to the control terminal 102 by the network detection component 108 include signal strength, transmission rate, network delay, and other parameters. The drone device 106 can also feed back flight parameters such as GPS strength and trajectory to the control terminal 102. The control terminal 102 performs real-time analysis based on the parameters fed back by the network detection component 108 and the drone device 106, and can obtain network inspection results for the open-pit mine, such as a three-dimensional network quality map.

[0056] The control terminal 102 communicates with the server 104 via a network. The data storage system can store data that the server 104 needs to process. The data storage system can be integrated on the server 104, or it can be placed on the cloud or other network servers. Among them, the control terminal 102 can be a terminal device that integrates data acquisition functions, data processing functions, network quality parameter analysis functions, inspection planning functions, inspection control functions, and equipment control functions. The control terminal 102 is also installed with mine design / aerial survey software that can obtain a three-dimensional model of the mine and base station simulation software that can obtain a three-dimensional model of the base station field strength. The user can import the three-dimensional model of the open-pit mine to be inspected and the base station model configured on the open-pit mine into the control terminal 102 in advance. The server 104 can be implemented as an independent server or a server cluster consisting of multiple servers.

[0057] In actual application scenarios, when large-scale open-pit mines are being advanced at high intensity, the working face, spoil dump, and related roads will experience significant changes in characteristics. 5G base stations within the area need to be relocated and relocated on a monthly or quarterly basis. During this relocation period, equipment such as unmanned mining trucks on the open-pit mine work platforms will need to be interrupted. Therefore, to prevent base station relocation from significantly impacting open-pit mine operations, this embodiment provides an efficient automated inspection method for open-pit mines. This method shortens the time required for network quality testing before and after base station relocation, quickly resuming the operation of equipment such as unmanned mining trucks, and improving mine production efficiency.

[0058] In one embodiment, Figure 2 As shown, a network inspection method is provided, which is applied to Figure 1 The network inspection system in the example is used to illustrate the following steps:

[0059] S201, obtaining an open-pit mine network inspection route, wherein the open-pit mine network inspection route includes an inspection route moving within a target step flat plate area and between multiple target step flat plate areas.

[0060] In this embodiment, the open-pit mine network inspection route is the action route of the drone equipment for flight movement and network data collection in the target area covered by the mobile network base station in the open-pit mine operation scenario. Among them, the target area covered by the mobile network base station can be determined by the needs of the actual application scenario. For example, due to the limited coverage area of ​​the base station, the target area can be the ground equipment deployment area, the electric shovel operation area, the dump truck transportation area and other areas related to the mine operation. This embodiment can obtain the network inspection route of a specific target area in the open-pit mine, and under the premise of controlling costs, effectively identify the network quality parameters of the open-pit mine operation area, improve the inspection efficiency, and avoid the misidentification of network weak areas and blind areas caused by expanding the inspection range.

[0061] In practical applications, open-pit mines are areas where open-pit mining has been or is currently underway, and include features such as steps and open-pit tunnels. Steps are composed of elements such as an upper plate, a lower plate, a slope, a top line, a bottom line, a height, and a slope angle. Steps include working steps, non-working steps, cleaning platforms, and transport platforms. Working steps include working plates for arranging excavation and transport equipment. Non-working steps include safety platforms for buffering and intercepting falling rock and reducing slope angles. Cleaning platforms are used to intercept falling rock and can be cleaned by cleaning equipment. Transport platforms serve as a connection between working steps and trench access.

[0062] In a specific embodiment, the average elevation data difference between adjacent steps is typically large, for example, an average elevation data difference of ten meters or more. If the open-pit mine network inspection route is not planned, the inspection equipment will move between different steps, and the elevation difference along the inspection route will cause deviations in the collected network data. For example, the measurement of network quality parameters such as latency and bandwidth takes several seconds. If the inspection equipment experiences an elevation jump during movement, measurement errors will occur in the aforementioned network quality parameters, resulting in inaccurate network inspection results obtained through the final analysis.

[0063] In this embodiment, the target step flat region refers to a flat region of a step with continuous elevation. Elevation continuity in this embodiment means that the elevation data differences between sampling points in the target step flat region are less than a preset threshold. It should be noted that the upper and lower flat regions of a step can be determined as two target step flat regions, with the elevation data differences of sampling points within each target step flat region being less than a preset threshold. The specific value of the preset threshold can be determined based on the needs of the actual application scenario.

[0064] In this embodiment, the method for obtaining the open-pit mine network inspection route can be that the control terminal directly calls it from the data storage system, or the control terminal obtains it based on the three-dimensional model of the open-pit mine to be inspected and the base station related parameters in the open-pit mine to be inspected. The specific acquisition method can be determined according to the actual application scenario.

[0065] S202 , controlling the UAV device to simulate the terrain according to the open-pit mine network inspection route, and controlling the network detection component carried by the UAV device to collect target network data during the flight of the UAV device.

[0066] In this embodiment, the open-pit mine network inspection route will cause the drone equipment to first inspect the target step flat plate area. After completing the inspection of one target step flat plate area, it will move to another target step flat plate area for inspection until it moves through all target step flat plate areas.

[0067] This embodiment controls the drone equipment to fly according to the open-pit mine network inspection route, which can effectively simulate the movement path of the dump truck on the unmanned mine bench flat area, thereby more accurately collecting network data in each bench flat area of ​​the open-pit mine, facilitating subsequent network quality analysis.

[0068] In this embodiment, the drone is equipped with a network detection component capable of detecting target network data. This allows the drone to collect network quality parameters during its simulated flight. After collecting the target network data, the drone and the network detection component transmit the data back to the control terminal.

[0069] S203: Generate a three-dimensional distribution map of the open-pit mine network quality based on the target network data.

[0070] In this embodiment, the control terminal will receive the target network data returned by the network detection component, and will also receive the GPS data and inspection path data returned from the drone equipment. Based on the GPS data, inspection path data and target network data, a three-dimensional distribution map of the network quality on the open-pit mine inspection route can be drawn, where the three-dimensional distribution map of network quality includes but is not limited to a three-dimensional distribution map of field strength, a three-dimensional distribution map of transmission rate and a three-dimensional distribution map of network delay.

[0071] This embodiment can complete the drawing of a three-dimensional distribution map of network quality on a cloud platform.

[0072] In summary, this embodiment provides a network inspection method that can achieve unmanned mobile network inspections in open-pit mines by controlling drones for automated inspections. This method accurately depicts the mobile network quality in the open-pit mine network inspection area before and after base station adjustments, ensuring the safety and continuity of unmanned mining truck operations and improving mine safety management. Furthermore, the network inspection method provided by this embodiment can effectively integrate with a three-dimensional topographic map of the mining area to visualize the three-dimensional distribution of network quality parameters, greatly improving the application efficiency of network inspection results.

[0073] In one embodiment, Figure 3 As shown, obtain the open-pit mine network inspection route, including:

[0074] S301: Acquire a network inspection area, where the network inspection area includes a base station antenna coverage area.

[0075] S302 , obtaining a plurality of target step-plate areas according to the elevation data of the sampling points within the network inspection area, wherein the elevation data difference between the sampling points within the target step-plate area is less than or equal to a preset threshold.

[0076] S303: Obtain a first moving route located in each target step flat plate area based on the sampling points in the target step flat plate area.

[0077] S304: Obtain a second moving route between the target step flat plate areas based on the sampling points between the adjacent target step flat plate areas.

[0078] S305 , connecting the first moving routes and the second moving routes in a preset order to obtain an open-pit mine network inspection route.

[0079] In this embodiment, the network inspection area can be a specific area within the open-pit mine, avoiding the excessive time and cost of full-area inspections. The network inspection area includes the base station antenna coverage area, ensuring accurate identification of weak and blind spots within the open-pit mine working area, and improving network inspection efficiency.

[0080] In this embodiment, if Figure 4 As shown, the theoretical coverage area of ​​the antenna is the coverage area of ​​the base station antenna in this embodiment, and the coverage area of ​​the base station antenna needs to be obtained according to the installation location of the base station.

[0081] An open-pit mine is composed of slope step lines. Based on the elevation data of sampling points, a step flat area with continuous elevation is obtained within the slope step line, which is the target step flat area.

[0082] In a specific embodiment, route planning is performed based on sampling points of all target step flat plate areas within the network inspection area, and a first moving route within the target step flat plate area and a second moving route between adjacent target step flat plate areas can be obtained. Figure 4 As shown, by connecting the first moving route and the second moving route in a certain order, the corresponding open-pit mine network inspection route can be obtained.

[0083] It should be noted that the network inspection routes of open-pit mines can be planned and connected according to the shortest path algorithm to maximize the network inspection efficiency of drone equipment.

[0084] In one embodiment, Figure 5 As shown, obtain the network inspection area, including:

[0085] S501 , obtaining the three-dimensional coordinates of a base station, antenna orientation, a three-dimensional directional pattern model of the base station antenna, and a three-dimensional surface model of the open-pit mine.

[0086] S502 : Calculate the base station antenna coverage area based on the three-dimensional coordinates, antenna orientation, three-dimensional pattern model, and three-dimensional ground surface model.

[0087] S503: Determine a network inspection area according to the base station antenna coverage area.

[0088] In this embodiment, the three-dimensional coordinates of the base station and the antenna orientation can be determined by obtaining a three-dimensional directional pattern model of the base station antenna and a three-dimensional surface model of the open-pit mine.

[0089] In a specific embodiment, a ray with the base station location as its origin and the same three-dimensional directional angle as the base station antenna can be generated. This ray is used as the central axis of the base station antenna's three-dimensional pattern model. The ray is then scanned at a preset angle, and the three-dimensional surface where the three-dimensional pattern model intersects with the three-dimensional ground model is derived as the base station antenna coverage area. All of the above methods can be implemented through simulation calculations using software.

[0090] This embodiment uses the ray scanning method to simulate and calculate the base station antenna coverage area, which can accurately determine the network inspection area of ​​the open-pit mine, avoid missing the open-pit mine working area, and effectively save network inspection costs.

[0091] In one embodiment, Figure 6 As shown in the figure, multiple target step flat areas are obtained based on the elevation data of the sampling points in the network inspection area, including:

[0092] S601: Sample the three-dimensional surface of the base station antenna coverage area according to a preset resolution to obtain a three-dimensional point set.

[0093] S602, traversing the three-dimensional point set to obtain a combined point set consisting of a target point and its adjacent points, wherein the elevation data of a target point corresponds to the elevation data of a target step plate area.

[0094] S603 , selecting candidate points whose elevation data difference with the target point is less than a preset threshold from the combined point set to obtain a candidate point set, wherein one candidate point set corresponds to one target step plate area.

[0095] S604: Obtain multiple target step flat plate areas based on multiple candidate point sets.

[0096] In this embodiment, the preset resolution may be determined according to the needs of the actual application scenario. For example, the preset resolution may be 1 dot per square meter.

[0097] Sample the 3D surface of the base station antenna coverage area at a preset resolution to obtain a 3D point set P1 = {p(x, y, z)}. Traverse each sampling point in P1. When the target point p is reached, search for its neighboring points in the horizontal projection (i.e., considering only the x and y directions). Based on the target point p and its neighboring points, obtain the neighboring point set P2 {p(x, y, z)} corresponding to the target point p.

[0098] For the combined point set P2{p(x, y, z)}, compare the elevation data difference between the target point p and all the sampling points in P2. If the elevation data difference is less than the preset threshold, for example, less than 0.1m, then p and the adjacent points that meet the conditions in P2 can be added to the candidate point set P3{p(x, y, z)}, and the target step flat plate area is obtained based on the candidate point set P3.

[0099] In one embodiment, to ensure that the target step flat plate area is more accurate, after adding the adjacent points that meet the conditions in p and P2 to the candidate point set P3 {p(x, y, z)}, other points in P3 that are not the target point p are selected to repeat the steps in S602-S603 until the number of points in P3 no longer increases, thereby forming a target step flat plate area with coherent elevation.

[0100] After obtaining a target step-flat region, the points in the candidate point set P3 corresponding to the target step-flat region can be removed from the three-dimensional point set P1, and steps S602-S603 can be continued to obtain other target step-flat regions, thereby obtaining multiple target step-flat regions. This embodiment can effectively improve the efficiency of dividing the target step-flat region by removing sampling points from the filtered candidate point set.

[0101] In one embodiment, Figure 7 As shown, obtaining the open-pit mine network inspection route also includes:

[0102] S701 , obtaining boundary sampling points located at the boundary of a network inspection area, and determining a path entry point and a path exit point from the boundary sampling points.

[0103] S702, calculating the movement cost between all adjacent sampling points in the network inspection area;

[0104] S703, based on the path entry point, the path exit point, the movement cost and the preset traveling salesman problem algorithm, the optimal inspection path is calculated and used as the open-pit mine network inspection route.

[0105] In this embodiment, obtaining the optimal inspection path for the open-pit mine network inspection route can be abstracted as a traveling salesman problem (TSP), that is, the drone equipment needs to pass through all sampling points in the above network inspection area along the optimal path with the lowest overall cost.

[0106] In a specific embodiment, all boundary sampling points within the inspection range are first obtained, and the path entry point and path exit point are determined at the boundary sampling points as the entry and exit points of the inspection route to ensure that the drone enters and exits from the boundary of the inspection range.

[0107] Then, calculate the movement cost between all adjacent sampling points in the network inspection area. In this embodiment, in order to ensure that the drone equipment can move as much as possible within the stepped flat plate and the elevation change on the moving route is as gentle as possible, the following formula can be used to calculate the movement cost between adjacent sampling points A and B:

[0108] cost(A,B)= distance(A,B)+punish(A,B)

[0109] Where distance(A, B) is the distance cost between points A and B, and punish(A, B) is the penalty cost. distance(A, B) can also be considered the three-dimensional distance between points A and B. When points A and B are located in the same step-plate area, punish(A, B) is 0. When points A and B are not located in the same step-plate area, punish(A, B) is a preset positive value.

[0110] In this embodiment, the preset traveling salesman problem algorithm includes any one or more of the classic TSP problem algorithms such as genetic algorithm, nearest neighbor algorithm, interpolation nearest neighbor algorithm, etc.

[0111] Finally, based on the movement cost, a solution is calculated using classic TSP algorithms, such as the genetic algorithm, the nearest neighbor algorithm, and the interpolation nearest neighbor algorithm, to obtain the optimal inspection path for the open-pit mine network inspection route. This embodiment can greatly improve the efficiency of network inspections performed by drones in open-pit mines by calculating the optimal inspection path for the open-pit mine network inspection route.

[0112] In one embodiment, Figure 8 As shown, the network detection component carried by the drone device is controlled to collect target network data during the flight of the drone device, including:

[0113] S801. Collect first network data through a first network detection method, where the first network detection method is a detection method for collecting network quality parameters based on a hardware module.

[0114] S802: Collect second network data through a second network detection method, where the second network detection method is a detection method for collecting network quality parameters based on a software module.

[0115] S803: Obtain target network data according to the first network data and the second network data.

[0116] In this embodiment, there are two ways for the drone device to obtain network quality parameters, namely a first network detection method based on a hardware module to collect network quality parameters, and a second network detection method based on a software module to collect network quality parameters.

[0117] For example, the first network detection method can be based on a hardware module (including but not limited to a 4G / 5G communication module) performing high-frequency sampling (above 10 Hz). This embodiment is suitable for obtaining first network data such as network signal-to-noise ratio (SINR) and received power (RSRP) through the first network detection method.

[0118] The second network detection method can be based on software-initiated measurement tasks, and the test message transmission and reception communication between the cloud platform. This embodiment is suitable for obtaining second network data such as transmission rate, delay, delay jitter, etc. through the second network detection method. In a specific embodiment, the test message transmission and reception are played back using the service message of the base station in the network inspection area to achieve the simulation of real business traffic. After obtaining the network quality detection parameters, the drone device uploads the parameter value and the drone coordinates when the parameters were obtained to the cloud platform through the image transmission channel, such as Figure 4 As shown in Figure 3, combining the three-dimensional topography of the mining area can realize the three-dimensional distribution visualization of network quality parameters such as field strength, transmission rate and network delay.

[0119] In summary, this embodiment provides a network inspection method, which obtains a precise network inspection route located between the target step flat plate area and the flat plate area, and solves the optimal moving path based on the preset traveling salesman problem algorithm, controls the drone equipment to perform ground-simulating flight on the open-pit mine network inspection route, simulates the operation path of the dump truck, and realizes the precise location of network quality parameter collection. In combination with the three-dimensional surface model of the open-pit mine, the three-dimensional distribution of the network is analyzed, which can greatly improve the network inspection efficiency while improving the equipment management efficiency of the open-pit mine and speeding up large-scale open-pit mine operations.

[0120] It should be understood that, although the various steps in the flowcharts involved in the various embodiments described above are displayed in sequence according to the instructions of the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be executed in other orders. Moreover, at least a portion of the steps in the flowcharts involved in the various embodiments described above can include multiple steps or multiple stages, and these steps or stages are not necessarily executed and completed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a portion of steps or stages in other steps.

[0121] Based on the same inventive concept, embodiments of the present application also provide a network inspection device for implementing the aforementioned network inspection method. The implementation solution provided by this device is similar to the implementation solution described in the aforementioned method. Therefore, the specific limitations in one or more network inspection device embodiments provided below can be found in the above-mentioned limitations on the network inspection method and will not be further elaborated here.

[0122] In one embodiment, Figure 9 As shown, a network inspection device 900 is provided, comprising: a route acquisition module 910, a flight control module 920 and a network analysis module 930, wherein:

[0123] The route acquisition module 910 is used to acquire an open-pit mine network inspection route, wherein the open-pit mine network inspection route includes an inspection route moving within a target step flat plate area and between multiple target step flat plate areas.

[0124] The flight control module 920 is used to control the UAV device to fly along the open-pit mine network inspection route and control the network detection component carried by the UAV device to collect target network data during the flight of the UAV device.

[0125] The network analysis module 930 is used to generate a three-dimensional distribution map of the open-pit mine network quality based on the target network data.

[0126] In one embodiment, the route acquisition module 910 is specifically used to obtain a network inspection area, wherein the network inspection area includes a base station antenna coverage area; a plurality of target step flat plate areas are obtained based on the elevation data of the sampling points in the network inspection area, wherein the elevation data difference between the sampling points in the target step flat plate area is less than or equal to a preset threshold; a first moving route located in each target step flat plate area is obtained based on the sampling points in the target step flat plate area; a second moving route between each target step flat plate area is obtained based on the sampling points between adjacent target step flat plate areas; and an open-pit mine network inspection route is obtained by connecting each first moving route and the second moving route in a preset order.

[0127] In one embodiment, the route acquisition module 910 is specifically used to obtain the three-dimensional coordinates of the base station, the antenna orientation, the three-dimensional directional pattern model of the base station antenna, and the three-dimensional surface model of the open-pit mine; calculate the base station antenna coverage area based on the three-dimensional coordinates, antenna orientation, the three-dimensional directional pattern model, and the three-dimensional surface model; and determine the network inspection area based on the base station antenna coverage area.

[0128] In one embodiment, the route acquisition module 910 is specifically used to sample the three-dimensional surface of the base station antenna coverage area according to a preset resolution to obtain a three-dimensional point set; traverse the three-dimensional point set to obtain a combined point set consisting of a target point and its adjacent points, wherein the elevation data of a target point corresponds to the elevation data of a target step flat plate area; filter out candidate points from the combined point set whose elevation data difference with the target point is less than a preset threshold to obtain a candidate point set, wherein one candidate point set corresponds to a target step flat plate area; and obtain multiple target step flat plate areas based on multiple candidate point sets.

[0129] In one embodiment, the route acquisition module 910 is specifically used to obtain boundary sampling points located at the boundary of the network inspection area, determine the path entry point and path exit point from the boundary sampling points; calculate the movement cost between all adjacent sampling points in the network inspection area; calculate the optimal inspection path based on the path entry point, path exit point, movement cost and a preset traveling salesman problem algorithm, and use the optimal inspection path as the open-pit mine network inspection route.

[0130] In one embodiment, the flight control module 920 is specifically used to collect first network data through a first network detection method, wherein the first network detection method is a detection method for collecting network quality parameters based on a hardware module; collect second network data through a second network detection method, wherein the second network detection method is a detection method for collecting network quality parameters based on a software module; and obtain a target network number based on the first network data and the second network data.

[0131] In summary, this embodiment provides a network inspection device, which obtains a precise network inspection route between the target step flat plate area and the platform area, and solves the optimal moving path based on the preset traveling salesman problem algorithm, controls the drone equipment to perform ground-simulating flight on the open-pit mine network inspection route, simulates the operation path of the dump truck, and realizes the precise location of network quality parameter collection. In combination with the three-dimensional surface model of the open-pit mine, the three-dimensional distribution of the network is analyzed, which can greatly improve the network inspection efficiency while improving the equipment management efficiency of the open-pit mine and speeding up large-scale open-pit mine operations.

[0132] Each module in the aforementioned network inspection device may be implemented in whole or in part through software, hardware, or a combination thereof. Each module may be embedded in or independent of a processor in a computer device in the form of hardware, or may be stored in a memory in the computer device in the form of software, so that the processor can call and execute the corresponding operations of each module.

[0133] In one embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as follows: Figure 10 As shown. The computer device includes a processor, memory, an input / output interface, a communication interface, a display unit, and an input device. The processor, memory, and input / output interface are connected via a system bus, and the communication interface, display unit, and input device are connected to the system bus via the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and external devices. The communication interface of the computer device is used to communicate with external terminals via wired or wireless means, and the wireless means can be achieved via Wi-Fi, mobile cellular networks, NFC (near-field communication), or other technologies. When executed by the processor, the computer program implements a network inspection method. The display unit of the computer device is used to produce a visually visible image and can be a display screen, a projection device, or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device casing, or an external keyboard, touchpad or mouse.

[0134] Those skilled in the art will understand that Figure 10The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0135] In one embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the following steps are implemented:

[0136] Obtaining an open-pit mine network inspection route, wherein the open-pit mine network inspection route includes an inspection route that moves within a target step flat plate area and between multiple target step flat plate areas;

[0137] Control the drone to fly along the open-pit mine network inspection route, and control the network detection component on the drone to collect target network data during the flight.

[0138] Generate a three-dimensional distribution map of open-pit mine network quality based on target network data.

[0139] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the following steps are implemented:

[0140] Obtaining an open-pit mine network inspection route, wherein the open-pit mine network inspection route includes an inspection route that moves within a target step flat plate area and between multiple target step flat plate areas;

[0141] Control the drone to fly along the open-pit mine network inspection route, and control the network detection component on the drone to collect target network data during the flight.

[0142] Generate a three-dimensional distribution map of open-pit mine network quality based on target network data.

[0143] In one embodiment, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the following steps:

[0144] Obtaining an open-pit mine network inspection route, wherein the open-pit mine network inspection route includes an inspection route that moves within a target step flat plate area and between multiple target step flat plate areas;

[0145] Control the drone to fly along the open-pit mine network inspection route, and control the network detection component on the drone to collect target network data during the flight.

[0146] Generate a three-dimensional distribution map of open-pit mine network quality based on target network data.

[0147] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the above-mentioned embodiments. In particular, any reference to memory, database, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The databases involved in the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, distributed databases based on blockchains. The processors involved in the various embodiments provided herein may be, but are not limited to, general-purpose processors, central processing units (CPUs), graphics processing units (GPUs), digital signal processors (DSPs), programmable logic devices (PLDs), data processing logic devices based on quantum computing, and the like.

[0148] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0149] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present application. It should be noted that a person of ordinary skill in the art may make various modifications and improvements without departing from the spirit of the present application, and these modifications and improvements fall within the scope of protection of the present application. Therefore, the scope of protection of the present application shall be determined by the appended claims.

Claims

1. A network inspection method, It is characterized in that include: Acquire an open-pit mine network inspection route, wherein the open-pit mine network inspection route includes an inspection route moving between a target step flat plate area and multiple target step flat plate areas; Control the UAV device to fly according to the open-pit mine network inspection route, and control the network detection component carried by the UAV device to collect target network data during the flight of the UAV device; A three-dimensional distribution map of open-pit mine network quality is generated according to the target network data.

2. The method according to claim 1, It is characterized in that The obtaining of the open-pit mine network inspection route includes: Acquire a network inspection area, wherein the network inspection area includes a base station antenna coverage area; A plurality of target step flat disk areas are obtained according to the elevation data of the sampling points in the network inspection area, wherein the elevation data difference between the sampling points in the target step flat disk area is less than or equal to a preset threshold; Obtaining a first moving route located in each target step flat plate area based on the sampling points in the target step flat plate area; Obtaining a second moving route between each target step flat disk area based on the sampling points between the adjacent target step flat disk areas; The open-pit mine network inspection route is obtained by connecting the first moving routes and the second moving routes in a preset order.

3. The method according to claim 2, It is characterized in that The obtaining of the network inspection area includes: Obtain the three-dimensional coordinates of the base station, the antenna orientation, the three-dimensional directional pattern model of the base station antenna, and the three-dimensional surface model of the open-pit mine; Calculate the base station antenna coverage area according to the three-dimensional coordinates, the antenna orientation, the three-dimensional directional pattern model and the three-dimensional surface model; The network inspection area is determined according to the base station antenna coverage area.

4. The method according to claim 2, It is characterized in that The plurality of target step flat plate areas are obtained by dividing the elevation data of the sampling points in the network inspection area, including: Sampling the three-dimensional surface of the base station antenna coverage area according to a preset resolution to obtain a three-dimensional point set; Traversing the three-dimensional point set, obtaining a combined point set consisting of a target point and adjacent points of the target point, wherein the elevation data of one target point corresponds to the elevation data of one target step flat plate area; Selecting candidate points whose elevation data difference with the target point is less than a preset threshold from the combined point set to obtain a candidate point set, wherein one candidate point set corresponds to one target step flat plate area; A plurality of target step flat disk areas are obtained according to a plurality of candidate point sets.

5. The method according to claim 2, It is characterized in that The obtaining of the open-pit mine network inspection route also includes: Acquire a boundary sampling point located at a boundary of the network inspection area, and determine a path entry point and a path exit point from the boundary sampling point; Calculate the movement cost between all adjacent sampling points in the network inspection area; An optimal inspection path is calculated based on the path entry point, the path exit point, the movement cost and a preset traveling salesman problem algorithm, and the optimal inspection path is used as the open-pit mine network inspection route.

6. The method according to claim 1, It is characterized in that The controlling the network detection component carried by the drone device to collect target network data during the flight of the drone device includes: Collecting first network data through a first network detection method, wherein the first network detection method is a detection method for collecting network quality parameters based on a hardware module; Collecting second network data through a second network detection method, wherein the second network detection method is a detection method for collecting network quality parameters based on a software module; The target network data is obtained according to the first network data and the second network data.

7. A network inspection device, It is characterized in that include: A route acquisition module, used to acquire an open-pit mine network inspection route, wherein the open-pit mine network inspection route includes an inspection route moving between a target step flat plate area and multiple target step flat plate areas; A flight control module is used to control the UAV device to fly according to the open-pit mine network inspection route, and control the network detection component carried by the UAV device to collect target network data during the flight of the UAV device; The network analysis module is used to generate a three-dimensional distribution map of the open-pit mine network quality based on the target network data on the network inspection platform.

8. A network inspection system, It is characterized in that It includes a control terminal and a drone device, wherein the drone device is equipped with a network detection component; the control terminal is respectively connected to the drone device and the network detection component for communication; The control terminal is used to implement the steps of the network inspection method described in any one of claims 1 to 6.

9. A computer device, It is characterized in that The method comprises a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the network inspection method according to any one of claims 1 to 6 when executing the computer program.

10. A computer-readable storage medium, It is characterized in that A computer program is stored thereon, and when the computer program is executed by a processor, the steps of the network inspection method according to any one of claims 1 to 6 are implemented.

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