Simulated territorial space planning system adopting VR and GIS technologies

Abstract

The invention discloses a simulated territorial space planning system adopting VR and GIS technologies, and relates to the field of territorial space planning. Comprising a territorial information acquisition and processing module used for acquiring territorial space information data in a region, including landform type, shape, area, terrain, water conservancy distribution, land position coordinate data, land remote sensing image and land type, and the data are preprocessed and then sent to a central control module; the VR image acquisition and processing module is used for acquiring an image of a territorial space in a region and a surrounding image by utilizing a VR technology and performing preprocessing; and the GIS data processing module is used for receiving the data of the territorial information acquisition and processing module and carrying out spatial analysis by utilizing a GIS technology. According to the method, the planning efficiency is improved, the planning process is more visual and efficient through three-dimensional simulation and VR display, and tedious steps in traditional two-dimensional planning are reduced; and the planning effect is enhanced, and immersive experience is provided by using the VR technology.

Description

Technical Field

[0001] The present invention relates to the field of national land space planning, and in particular to a simulation national land space planning system using VR and GIS technologies. Background Art

[0002] National space is the homeland where people live and develop, including land, land waters, inland waters, territorial waters, airspace, etc. With the acceleration of China's urbanization process, the demand for space in urban development has increased, and spatial planning has become particularly important.

[0003] Virtual reality (VR) technology is a computer simulation system that can create and experience a virtual world. Through head-mounted displays, handles and other devices, the user's images, hearing and other senses are brought into the virtual world, enabling natural interaction with the virtual environment. Geographic Information System (GIS) is a technology that uses computer technology and geographical principles to process, analyze and display geographic information. It can collect, organize, process and analyze geographic information data and display them visually. Traditional land space planning systems can mostly only display in two dimensions, lacking intuitive three-dimensionality and interactivity, and are unable to meet the complex needs of modern urban planning.

[0004] To this end, the present invention proposes a simulated national land space planning system using VR and GIS technologies. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings of the prior art and to propose a simulated national land space planning system using VR and GIS technologies.

[0006] In order to achieve the above object, the present invention adopts the following technical solutions: A simulated national land space planning system using VR and GIS technology, including: The land information collection and processing module is used to collect land space information data in the region, including landform type, shape, area, topography, water conservancy distribution, land location coordinate data, land remote sensing images, and land type. After pre-processing, these data are sent to the central control module; VR image acquisition and processing module, which uses VR technology to collect images of the territory and surrounding areas in the region and performs pre-processing; GIS data processing module receives data from the land information collection and processing module, and uses GIS technology to perform spatial analysis, including terrain analysis and resource distribution analysis. After analysis, the analysis results are sent to the central control module; The central control module is the core of the system and is responsible for receiving, processing and distributing data and information from various modules and coordinating the work between modules; The three-dimensional model construction module builds a three-dimensional simulation model of the national space based on the data from the VR image acquisition and processing module and the GIS data processing module to realize the construction of the virtual environment; The planning analysis module uses the constructed three-dimensional model and combines the GIS analysis results to analyze the national land space planning, including resource and environmental carrying capacity evaluation, national land space pollution situation judgment, and national land space suitability evaluation; The VR display module displays the three-dimensional simulation model and planning analysis results to users in a virtual environment through VR devices.

[0007] Preferably, the image acquisition of the VR image acquisition and processing module adopts an acquisition method based on a drone swarm, which specifically includes the following steps: A1: Mount the image collector on the bottom of the drone; A2: Plan a separate path for each drone based on the area of ​​national space; A3: Control the drone to fly according to the planned path, collect images, and transmit the collected images based on the optimal transmission method; A4: During the flight, the built-in positioning module of the drone is used to obtain the flight position of the drone, and then the path of the drone is corrected based on the planned position.

[0008] Preferably: in the step A3, the following steps are included based on the optimal transmission mode: A31: Assign a unique identifier M to each drone’s communication module and obtain the drone’s communication capability ; A32: Select the communication area S according to the communication position of the drone, communication area , where D is the communication width of the drone, L is the communication length, and H is the communication height; A33: In the communication area S, each drone is interconnected and the optimal communication drone is calculated; A34: Transmit the information of the remaining drones in each area S to the optimal communication drone, which then packages the information and transmits it to the central control module.

[0009] Preferably: the step A33 comprises the following steps: A331: Calculate the communication distance d between the drone and the central control module; A332: Then according to the formula Calculate the priority of each drone, where Z is the drone priority, and are d and The weights are preset by the administrator.

[0010] Preferably: the optimal transmission mode also has a built-in positioning verification algorithm, and the positioning verification method includes the following steps: B1: Select the target drone and obtain its real-time position (x, y, z) through communication; B2: Select other drones in its area S and obtain the communication positions of other drones through communication , which represents the position of the i-th UAV in the S region; B3: Based on the mutual communication between the target UAV and the i-th UAV, the relative position difference between the two UAVs is obtained. ; B4: Set the error coefficient k; B5: According to the formula Calculate the error distance if , then the evaluation result of the position of the target UAV by the i-th UAV is “inaccurate”, otherwise it is “accurate”; B6: Follow steps B1-B5 to traverse other drones in area S and count the voting results. If the frequency of "accurate" is greater than "inaccurate", it means that the target drone's position is accurate. If the frequency of "accurate" is less than "inaccurate", the communication positioning of the target drone fails, and then the position is corrected until the frequency of "accurate" is greater than "inaccurate".

[0011] Preferably: the step A4 comprises the following steps: A41: According to the path planning, the theoretical positions between the drones are obtained; A42: Determine the actual position of each drone based on the image markers collected by the image acquisition module; A43: Use the deviation between the theoretical position and the actual position to vote on the position accuracy of the target UAV, and determine the benchmark UAV based on the voting results; A44: Combined with the image acquisition module, the image markers on the reference UAV are acquired and the orientation is calculated to adjust the orientation of the UAV.

[0012] Preferably: the step A43 comprises the following steps: A431: Set the allowable deviation coefficient k; A432: Decompose the orientation along the three-dimensional space to obtain the theoretical distances of the X, Y, and Z axes respectively. And the actual distance ; A433: Judgment ①: ,②: ③: ; A434: Determine the voting score based on the conditions of ①②③; A435: Average the voting results of all drones on the target drone to get the voting score of the target drone.

[0013] Preferably: in the A434 step, if ①②③ all meet the requirements, the voting result for the target drone is 1; if one of ①②③ does not meet the requirements, the voting result for the target drone is 2 / 3; if two of ①②③ do not meet the requirements, the voting result for the target drone is 1 / 3; if none of ①②③ meet the requirements, the voting result is 0.

[0014] Preferably, the three-dimensional model construction module comprises the following steps: C1: Point cloud processing: filtering, classifying, and segmenting point cloud data to extract terrain and building elements; C2: Model construction: Use 3D reality modeling software to build 3D models based on point cloud data or other data sources; C3: Scene integration: Integrate multiple 3D models into a unified scene to form a complete 3D city model or national space model; C4: Model optimization: Under the premise of ensuring image effects, the model is simplified to reduce the amount of data and improve rendering efficiency. At the same time, the texture image is compressed to reduce the file size.

[0015] Preferably: in the step C2, the three-dimensional model includes geometric shape, texture mapping, and material.

[0016] The beneficial effects of the present invention are: The present invention improves planning efficiency: through three-dimensional simulation and VR display, the planning process is made more intuitive and efficient, reducing the cumbersome steps in traditional two-dimensional planning; enhances planning effect: the immersive experience provided by VR technology enables users to better understand and perceive planning schemes, thereby improving the accuracy and feasibility of planning; promotes planning innovation: through the spatial analysis and data processing capabilities of GIS technology, a scientific basis is provided for the formulation of planning schemes, promoting the innovation and development of planning methods.

[0017] The present invention conducts networking communication between the drone and the central control module, divides the entire drone network into different areas, and then performs centralized transmission for optimal communication, thereby ensuring the quality of data transmission and preventing packet loss.

[0018] The present invention, based on optimal communication, utilizes mutual positioning between drones in coordination with threshold control, thereby enabling position verification and increasing the accuracy of the flight position of the drones. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 This is a logic diagram of the VR image acquisition and processing module of a simulated national land space planning system using VR and GIS technology proposed by the present invention; Figure 2 This is a logic diagram of a three-dimensional model construction module of a simulated national land space planning system using VR and GIS technologies proposed by the present invention. DETAILED DESCRIPTION

[0020] The technical solution of the present invention is further described in detail below in conjunction with specific implementation methods.

[0021] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", and "set" should be understood in a broad sense, for example, they can be fixedly connected or set, or detachably connected or set, or integrally connected or set. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0022] Embodiment 1: A simulated national land space planning system using VR and GIS technology, comprising: The land information collection and processing module is used to collect land space information data in the region, including landform type, shape, area, topography, water conservancy distribution, land location coordinate data, land remote sensing images, and land type. After pre-processing, these data are sent to the central control module; VR image acquisition and processing module, which uses VR technology to collect images of the territory and surrounding areas in the region and performs pre-processing; GIS data processing module receives data from the land information collection and processing module, and uses GIS technology to perform spatial analysis, including terrain analysis and resource distribution analysis. After analysis, the analysis results are sent to the central control module; The central control module is the core of the system and is responsible for receiving, processing and distributing data and information from various modules and coordinating the work between modules; The three-dimensional model construction module builds a three-dimensional simulation model of the national space based on the data from the VR image acquisition and processing module and the GIS data processing module to realize the construction of the virtual environment; The planning analysis module uses the constructed three-dimensional model and combines the GIS analysis results to analyze the national land space planning, including resource and environmental carrying capacity evaluation, national land space pollution situation judgment, and national land space suitability evaluation; The VR display module displays the three-dimensional simulation model and planning analysis results to users in a virtual environment through VR devices.

[0023] The present invention improves planning efficiency: through three-dimensional simulation and VR display, the planning process is made more intuitive and efficient, and the cumbersome steps in traditional two-dimensional planning are reduced; the planning effect is enhanced: the immersive experience provided by VR technology enables users to better understand and perceive the planning scheme, thereby improving the accuracy and feasibility of the planning; and planning innovation is promoted: through the spatial analysis and data processing capabilities of GIS technology, a scientific basis is provided for the formulation of planning schemes, thereby promoting the innovation and development of planning methods.

[0024] Embodiment 2: A simulated national land space planning system using VR and GIS technology, comprising: The land information collection and processing module is used to collect land space information data in the region, including landform type, shape, area, topography, water conservancy distribution, land location coordinate data, land remote sensing images, and land type. After pre-processing, these data are sent to the central control module; VR image acquisition and processing module, which uses VR technology to collect images of the territory and surrounding areas in the region and performs pre-processing; GIS data processing module receives data from the land information collection and processing module, and uses GIS technology to perform spatial analysis, including terrain analysis and resource distribution analysis. After analysis, the analysis results are sent to the central control module; The central control module is the core of the system and is responsible for receiving, processing and distributing data and information from various modules and coordinating the work between modules; The three-dimensional model construction module builds a three-dimensional simulation model of the national space based on the data from the VR image acquisition and processing module and the GIS data processing module to realize the construction of the virtual environment; The planning analysis module uses the constructed three-dimensional model and combines the GIS analysis results to analyze the national land space planning, including resource and environmental carrying capacity evaluation, national land space pollution situation judgment, and national land space suitability evaluation; The VR display module displays the three-dimensional simulation model and planning analysis results to users in a virtual environment through VR devices.

[0025] The image acquisition of the VR image acquisition and processing module adopts an acquisition method based on a drone swarm, which specifically includes the following steps: A1: Mount the image collector on the bottom of the drone; A2: Plan a separate path for each drone based on the area of ​​national space; A3: Control the drone to fly according to the planned path, collect images, and transmit the collected images based on the optimal transmission method; A4: During the flight, the built-in positioning module of the drone is used to obtain the flight position of the drone, and then the path of the drone is corrected based on the planned position.

[0026] In the step A3, the following steps are included based on the optimal transmission mode: A31: Assign a unique identifier M to each drone’s communication module and obtain the drone’s communication capability ; A32: Select the communication area S according to the communication position of the drone, communication area , where D is the communication width of the drone, L is the communication length, and H is the communication height; A33: In the communication area S, each drone is interconnected and the optimal communication drone is calculated; A34: Transmit the information of the remaining drones in each area S to the optimal communication drone, which then packages the information and transmits it to the central control module.

[0027] The step A33 includes the following steps: A331: Calculate the communication distance d between the drone and the central control module; A332: Then according to the formula Calculate the priority of each drone, where Z is the drone priority, and are d and The weights are preset by the administrator.

[0028] The present invention conducts networking communication between the drone and the central control module, divides the entire drone network into different areas, and then performs centralized transmission for optimal communication, thereby ensuring the quality of data transmission and preventing packet loss.

[0029] Embodiment 3: A simulated national land space planning system using VR and GIS technology, comprising: The land information collection and processing module is used to collect land space information data in the region, including landform type, shape, area, topography, water conservancy distribution, land location coordinate data, land remote sensing images, and land type. After pre-processing, these data are sent to the central control module; VR image acquisition and processing module, which uses VR technology to collect images of the territory and surrounding areas in the region and performs pre-processing; GIS data processing module receives data from the land information collection and processing module, and uses GIS technology to perform spatial analysis, including terrain analysis and resource distribution analysis. After analysis, the analysis results are sent to the central control module; The central control module is the core of the system and is responsible for receiving, processing and distributing data and information from various modules and coordinating the work between modules; The three-dimensional model construction module builds a three-dimensional simulation model of the national space based on the data from the VR image acquisition and processing module and the GIS data processing module to realize the construction of the virtual environment; The planning analysis module uses the constructed three-dimensional model and combines the GIS analysis results to analyze the national land space planning, including resource and environmental carrying capacity evaluation, national land space pollution situation judgment, and national land space suitability evaluation; The VR display module displays the three-dimensional simulation model and planning analysis results to users in a virtual environment through VR devices.

[0030] The image acquisition of the VR image acquisition and processing module adopts an acquisition method based on a drone swarm, which specifically includes the following steps: A1: Mount the image collector on the bottom of the drone; A2: Plan a separate path for each drone based on the area of ​​national space; A3: Control the drone to fly according to the planned path, collect images, and transmit the collected images based on the optimal transmission method; A4: During the flight, the built-in positioning module of the drone is used to obtain the flight position of the drone, and then the path of the drone is corrected based on the planned position.

[0031] In the step A3, the following steps are included based on the optimal transmission mode: A31: Assign a unique identifier M to each drone’s communication module and the drone’s communication capability ; A32: Select the communication area S according to the communication position of the drone, communication area , where D is the communication width of the drone, L is the communication length, and H is the communication height; A33: In the communication area S, each drone is interconnected and the optimal communication drone is calculated; A34: Transmit the information of the remaining drones in each area S to the optimal communication drone, which then packages the information and transmits it to the central control module.

[0032] The step A33 includes the following steps: A331: Calculate the communication distance d between the drone and the central control module; A332: Then according to the formula Calculate the priority of each drone, where Z is the drone priority, and are d and The weights are preset by the administrator.

[0033] The optimal transmission mode is also provided with a built-in positioning verification algorithm, and the positioning verification method includes the following steps: B1: Select the target drone and obtain its real-time position (x, y, z) through communication; B2: Select other drones in its area S and obtain the communication positions of other drones through communication , which represents the position of the i-th UAV in the S region; B3: Based on the mutual communication between the target UAV and the i-th UAV, the relative position difference between the two UAVs is obtained. ; B4: Set the error coefficient k; B5: According to the formula Calculate the error distance if , then the evaluation result of the position of the target UAV by the i-th UAV is “inaccurate”, otherwise it is “accurate”; B6: Follow steps B1-B5 to traverse other drones in area S and count the voting results. If the frequency of "accurate" is greater than "inaccurate", it means that the target drone's position is accurate. If the frequency of "accurate" is less than "inaccurate", the communication positioning of the target drone fails, and then the position is corrected until the frequency of "accurate" is greater than "inaccurate".

[0034] The present invention, based on optimal communication, utilizes mutual positioning between drones in coordination with threshold control, thereby enabling position verification and increasing the accuracy of the flight position of the drones.

[0035] Embodiment 4: A simulated national land space planning system using VR and GIS technology, comprising: The land information collection and processing module is used to collect land space information data in the region, including landform type, shape, area, topography, water conservancy distribution, land location coordinate data, land remote sensing images, and land type. After pre-processing, these data are sent to the central control module; VR image acquisition and processing module, which uses VR technology to collect images of the territory and surrounding areas in the region and performs pre-processing; GIS data processing module receives data from the land information collection and processing module, and uses GIS technology to perform spatial analysis, including terrain analysis and resource distribution analysis. After analysis, the analysis results are sent to the central control module; The central control module is the core of the system and is responsible for receiving, processing and distributing data and information from various modules and coordinating the work between modules; The three-dimensional model construction module builds a three-dimensional simulation model of the national space based on the data from the VR image acquisition and processing module and the GIS data processing module to realize the construction of the virtual environment; The planning analysis module uses the constructed three-dimensional model and combines the GIS analysis results to analyze the national land space planning, including resource and environmental carrying capacity evaluation, national land space pollution situation judgment, and national land space suitability evaluation; The VR display module displays the three-dimensional simulation model and planning analysis results to users in a virtual environment through VR devices.

[0036] The A4 step comprises the following steps: A41: According to the path planning, the theoretical positions between the drones are obtained; A42: Determine the actual position of each drone based on the image markers collected by the image acquisition module; A43: Use the deviation between the theoretical position and the actual position to vote on the position accuracy of the target UAV, and determine the benchmark UAV based on the voting results; A44: Combined with the image acquisition module, the image markers on the reference UAV are acquired and the orientation is calculated to adjust the orientation of the UAV.

[0037] The A43 step includes the following steps: A431: Set the allowable deviation coefficient k; A432: Decompose the orientation along the three-dimensional space to obtain the theoretical distances of the X, Y, and Z axes respectively. And the actual distance ; A433: Judgment ①: ,②: ③: ; A434: Determine the voting score based on the conditions of ①②③; A435: Average the voting results of all drones on the target drone to get the voting score of the target drone.

[0038] In the step A434, if ①②③ all meet the requirements, the voting result for the target drone is 1; if one of ①②③ does not meet the requirements, the voting result for the target drone is 2 / 3; if two of ①②③ do not meet the requirements, the voting result for the target drone is 1 / 3; if none of ①②③ meet the requirements, the voting result is 0.

[0039] The present invention adopts a probability-based voting form for the position of the UAV, so that when the unmanned positioning signal is poor and the positioning accuracy is low, the networking between the UAVs is used to achieve secondary positioning, thereby increasing the positioning accuracy.

[0040] Embodiment 5: A simulated national land space planning system using VR and GIS technology, comprising: The land information collection and processing module is used to collect land space information data in the region, including landform type, shape, area, topography, water conservancy distribution, land location coordinate data, land remote sensing images, and land type. After pre-processing, these data are sent to the central control module; VR image acquisition and processing module, which uses VR technology to collect images of the territory and surrounding areas in the region and performs pre-processing; GIS data processing module receives data from the land information collection and processing module, and uses GIS technology to perform spatial analysis, including terrain analysis and resource distribution analysis. After analysis, the analysis results are sent to the central control module; The central control module is the core of the system and is responsible for receiving, processing and distributing data and information from various modules and coordinating the work between modules; The three-dimensional model construction module builds a three-dimensional simulation model of the national space based on the data from the VR image acquisition and processing module and the GIS data processing module to realize the construction of the virtual environment; The planning analysis module uses the constructed three-dimensional model and combines the GIS analysis results to analyze the national land space planning, including resource and environmental carrying capacity evaluation, national land space pollution situation judgment, and national land space suitability evaluation; The VR display module displays the three-dimensional simulation model and planning analysis results to users in a virtual environment through VR devices.

[0041] The three-dimensional model construction module, the construction method thereof comprises the following steps: C1: Point cloud processing: filtering, classifying, and segmenting point cloud data to extract terrain and building elements; C2: Model construction: Use 3D reality modeling software to build 3D models based on point cloud data or other data sources; C3: Scene integration: Integrate multiple 3D models into a unified scene to form a complete 3D city model or national space model; C4: Model optimization: Under the premise of ensuring image effects, the model is simplified to reduce the amount of data and improve rendering efficiency. At the same time, the texture image is compressed to reduce the file size.

[0042] In the C2 step, the three-dimensional model includes geometric shapes, texture mapping, and materials.

[0043] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A simulated national land space planning system using VR and GIS technology, characterized in that: include: The land information collection and processing module is used to collect land space information data in the region, including landform type, shape, area, topography, water conservancy distribution, land location coordinate data, land remote sensing images, and land type. After pre-processing, these data are sent to the central control module; VR image acquisition and processing module, which uses VR technology to collect images of the territory and surrounding areas in the region and performs pre-processing; GIS data processing module receives data from the land information collection and processing module, and uses GIS technology to perform spatial analysis, including terrain analysis and resource distribution analysis. After analysis, the analysis results are sent to the central control module; The central control module is the core of the system and is responsible for receiving, processing and distributing data and information from various modules and coordinating the work between modules; The three-dimensional model construction module builds a three-dimensional simulation model of the national space based on the data from the VR image acquisition and processing module and the GIS data processing module to realize the construction of the virtual environment; The planning analysis module uses the constructed three-dimensional model and combines the GIS analysis results to analyze the national land space planning, including resource and environmental carrying capacity evaluation, national land space pollution situation judgment, and national land space suitability evaluation; The VR display module displays the three-dimensional simulation model and planning analysis results to users in a virtual environment through VR devices.

2. The simulated land space planning system using VR and GIS technology according to claim 1 is characterized in that: The image acquisition of the VR image acquisition and processing module adopts an acquisition method based on a drone swarm, which specifically includes the following steps: A1: Mount the image collector on the bottom of the drone; A2: Plan a separate path for each drone based on the area of ​​national space; A3: Control the drone to fly according to the planned path, collect images, and transmit the collected images based on the optimal transmission method; A4: During the flight, the built-in positioning module of the drone is used to obtain the flight position of the drone, and then the path of the drone is corrected based on the planned position.

3. The simulated land space planning system using VR and GIS technology according to claim 2 is characterized in that: In the step A3, the following steps are included based on the optimal transmission mode: A31: Assign a unique identifier M to each drone’s communication module and obtain the drone’s communication capability ; A32: Select the communication area S according to the communication position of the drone, communication area , where D is the communication width of the drone, L is the communication length, and H is the communication height; A33: In the communication area S, each drone is interconnected and the optimal communication drone is calculated; A34: Transmit the information of the remaining drones in each area S to the optimal communication drone, which then packages the information and transmits it to the central control module.

4. The simulated land space planning system using VR and GIS technology according to claim 3 is characterized in that: The step A33 includes the following steps: A331: Calculate the communication distance d between the drone and the central control module; A332: Then according to the formula Calculate the priority of each drone, where Z is the drone priority, and are d and The weights are preset by the administrator.

5. A simulated land space planning system using VR and GIS technology according to any one of claims 2 to 4, characterized in that: The optimal transmission mode is also provided with a built-in positioning verification algorithm, and the positioning verification method includes the following steps: B1: Select the target drone and obtain its real-time position (x, y, z) through communication; B2: Select other drones in its area S and obtain the communication positions of other drones through communication , which represents the position of the i-th UAV in the S region; B3: Based on the mutual communication between the target UAV and the i-th UAV, the relative position difference between the two UAVs is obtained. ; B4: Set the error coefficient k; B5: According to the formula Calculate the error distance if , then the evaluation result of the position of the target UAV by the i-th UAV is "inaccurate", otherwise it is "accurate"; B6: Follow steps B1-B5 to traverse other drones in area S and count the voting results. If the frequency of "accurate" is greater than "inaccurate", it means that the target drone's position is accurate. If the frequency of "accurate" is less than "inaccurate", the communication positioning of the target drone fails, and then the position is corrected until the frequency of "accurate" is greater than "inaccurate".

6. The simulated national land space planning system using VR and GIS technology according to claim 2 is characterized in that: The A4 step comprises the following steps: A41: According to the path planning, the theoretical positions between the drones are obtained; A42: Determine the actual position of each drone based on the image markers collected by the image acquisition module; A43: Use the deviation between the theoretical position and the actual position to vote on the position accuracy of the target UAV, and determine the benchmark UAV based on the voting results; A44: Combined with the image acquisition module, the image markers on the reference UAV are acquired and the orientation is calculated to adjust the orientation of the UAV.

7. The simulated national land space planning system using VR and GIS technology according to claim 6 is characterized in that: The A43 step includes the following steps: A431: Set the allowable deviation coefficient k; A432: Decompose the orientation along the three-dimensional space to obtain the theoretical distances of the X, Y, and Z axes respectively. And the actual distance ; A433: Judgment ①: ②: ③: ; A434: Determine the voting score based on the conditions of ①②③; A435: Average the voting results of all drones on the target drone to get the voting score of the target drone.

8. The simulated land space planning system using VR and GIS technology according to claim 7 is characterized in that: In the step A434, if ①②③ all meet the requirements, the voting result for the target drone is 1; if one of ①②③ does not meet the requirements, the voting result for the target drone is 2 / 3; if two of ①②③ do not meet the requirements, the voting result for the target drone is 1 / 3; if none of ①②③ meet the requirements, the voting result is 0.

9. The simulated national land space planning system using VR and GIS technology according to claim 1 is characterized in that: The three-dimensional model construction module, the construction method thereof comprises the following steps: C1: Point cloud processing: filtering, classifying, and segmenting point cloud data to extract terrain and building elements; C2: Model construction: Use 3D reality modeling software to build 3D models based on point cloud data or other data sources; C3: Scene integration: Integrate multiple 3D models into a unified scene to form a complete 3D city model or national space model; C4: Model optimization: Under the premise of ensuring image effects, the model is simplified to reduce the amount of data and improve rendering efficiency. At the same time, the texture image is compressed to reduce the file size.

10. The simulated land space planning system using VR and GIS technology according to claim 9 is characterized in that: In the C2 step, the three-dimensional model includes geometric shapes, texture mapping, and materials.

Images