Method for supervising key projects based on unmanned aerial vehicle airport cluster

Abstract

The invention discloses a method for supervising key projects based on an unmanned aerial vehicle airport cluster, and belongs to the technical field of unmanned aerial vehicles. In order to solve the problems of low efficiency, inaccurate multi-graph comparison analysis and incomplete data base graph acquisition of unmanned aerial vehicle collaborative operation, the unmanned aerial vehicle collaborative operation realizes effective coverage of a large area, provides detailed and accurate data for supervision, is helpful to timely discover problems in a project, improves the accuracy and efficiency of supervision, and improves the efficiency of the unmanned aerial vehicle collaborative operation. The unmanned aerial vehicle collects a datamation base map and compares data in different periods in the same range, so that data from different sources can be better integrated, the comparability and reference value of the data are enhanced, multi-map comparative analysis is carried out in combination with the city base map and the geographic information coordinate point locations, and the accuracy of data analysis is improved. According to the method, the change condition of the location of a key project can be more accurately found out, and by combining business scene data of a competent department, full-factor and full-period supervision of the unmanned aerial vehicle technology on land use is realized, and land use information is displayed in a full-dimension manner.

Description

Technical Field

[0001] The present invention relates to the technical field of unmanned aerial vehicles (UAVs), and in particular to a method for supervising key projects based on an UAV airport cluster. Background Art

[0002] The drone airport cluster is a supervision system based on multiple drone airports. Each drone airport is responsible for a different area and is equipped with high-definition cameras and data transmission equipment, as well as drone take-off and landing equipment, drone control systems, and data processing systems. Through the collaborative work of each drone airport in the cluster, efficient flight monitoring and data collection can be achieved. This cluster-based supervision method can improve the efficiency and accuracy of data collection and provide more accurate and comprehensive data support for key project supervision.

[0003] In traditional key project supervision, data collection is usually carried out by manual inspection and traditional measuring equipment. This method is not only inefficient, but also difficult to achieve full-factor, full-cycle supervision. At the same time, the data obtained by traditional data collection methods often have problems such as low accuracy and poor real-time performance, which is difficult to meet the needs of modern supervision work.

[0004] At the same time, the existing UAV technology still has some problems in the supervision of key projects, such as low efficiency of UAV collaborative operation, inaccurate comparison and analysis of multiple images, incomplete data base map collection, etc. Therefore, a new technical solution is needed to solve these problems. Summary of the invention

[0005] The purpose of the present invention is to provide a method for supervising key projects based on drone airport clusters to solve the problems raised in the above background technology.

[0006] To achieve the above purpose, the present invention provides the following technical solution: a method for supervising key projects based on drone airport clusters, comprising the following steps:

[0007] Step 1: Establish a drone airport cluster, which contains multiple drone airports. Each drone airport in the cluster is responsible for a different area and is equipped with high-definition cameras and data transmission equipment. Each drone airport is equipped with drone take-off and landing equipment, drone control system and data processing system;

[0008] Step 2: Use drones to fly in the project supervision area to collect data on the location of key projects, including but not limited to topography, buildings, vegetation and other information, digitize the collected data and transmit it to the data center to form a data base map;

[0009] Step 3: Overlay the data base map with the city base map, combine the geographic information coordinate points, conduct multi-map comparison analysis, and find out the changes in the locations of key projects;

[0010] Step 4: Formulate corresponding regulatory strategies based on the comparative analysis results;

[0011] Step 5: Use the drone airport cluster to periodically and accurately re-shoot the city's key projects, and collect data on the city's key projects at the same time in a short period of time;

[0012] Step 6: Display the data generated during the supervision process in all dimensions.

[0013] Further, the adjustments and optimizations in step 1 are as follows:

[0014] Select a suitable location to establish a drone airport, evaluate the target location to ensure that it meets the requirements for establishing a drone airport, and obtain the necessary permits and authorizations, design and construct drone airport facilities, design and construct facilities according to requirements and specifications, and ensure that they are fully functional, safe and reliable;

[0015] Configure high-definition camera devices and data transmission equipment, select appropriate high-definition camera devices and data transmission equipment, and install and configure them to ensure that their performance meets the requirements;

[0016] Equipped with UAV take-off and landing equipment, UAV control system and data processing system. According to needs, select appropriate UAV take-off and landing equipment, UAV control system and data processing system, and integrate and configure them.

[0017] Further, the adjustments and optimizations in step 2 are as follows:

[0018] Plan the flight route and collection points of the drone. Based on regulatory requirements, use geographic information system technology to draw a detailed flight route map. The route should cover the entire regulatory area and take into account factors such as terrain undulations and obstacles. At the same time, according to the characteristics of the project, determine the areas where data needs to be collected and set collection points;

[0019] Perform flight missions and collect data. According to the planned flight routes and points, dispatch drones to fly, use the high-definition cameras and sensors on the drones to capture images, collect information such as topography, buildings and vegetation, and transmit the collected data to the data center in real time through the data transmission equipment equipped on the drones;

[0020] Data digitization processing, digitization of pre-processed data, including digitization of the height, slope, and direction of the terrain, digitization of the height, area, and structure of buildings, and digitization of the type and distribution of vegetation. The results of the digitization processing will form a data base map.

[0021] Further, the adjustments and optimizations in step three are as follows:

[0022] Overlay the data base map with the city base map, use geographic information system technology to overlay the data base map with the city base map, ensure the matching degree of geographic information between the two base maps, and calibrate and adjust the coordinate points;

[0023] Combine geographic information coordinate points to conduct multi-map comparative analysis. On the superimposed base map, conduct multi-map comparative analysis based on geographic information coordinate points to find out the changes in the location of key projects, including changes in land use, increase and decrease of buildings, and environmental changes;

[0024] Find out the changes in the locations of key projects. Based on the results of multi-map comparison and analysis, make detailed annotations and classifications of the changes in the locations of key projects, mark different types of land use changes, including an increase in construction land and a decrease in agricultural land, mark the location and type of new buildings, and mark the changing trends and impact range of environmental quality.

[0025] Further, the adjustments and optimizations in step 4 are as follows:

[0026] Analyze the comparative results in detail to understand the changes in the locations of key projects, including changes in land use, increase or decrease in buildings, and increase or decrease in environmental quality;

[0027] Determine the supervision objectives. Based on the comparative analysis results and the characteristics of the project, clarify the supervision objectives, which include maintaining the stability of land use, ensuring the compliance of construction activities, and protecting environmental quality;

[0028] Formulate regulatory strategies and develop specific regulatory strategies based on regulatory objectives.

[0029] Further, the adjustments and optimizations in step 5 are as follows:

[0030] Set regulatory objectives and scope, and clarify regulatory objectives and scope;

[0031] Formulate a supervision plan. According to the set supervision objectives and scope, formulate a supervision plan, wherein the supervision plan includes determining the supervision frequency, supervision elements, supervision cycle and corresponding drone resource allocation. The supervision cycle is set according to actual supervision needs;

[0032] Implement drone flight monitoring. According to the supervision plan, flight monitoring is carried out through drone airport clusters. Specific flight missions are set for each drone, including take-off time, route, and shooting parameters. Each drone starts to perform tasks at the same time based on the flight mission. Through the coordinated operation of drone clusters, key projects in the city are photographed and collected data at the same time;

[0033] When the drone is shooting, the key items that need to be focused on are selected, and the selection information and shooting data are saved on the remote control. The data is transmitted to the drone before the flight. In the subsequent reshoot, the drone actively searches for and shoots the previously selected key items based on the selection information, and reshoots accurately. After the shooting is completed, the drone transmits the data to the ground station and the cloud server for analysis and processing;

[0034] Generate supervision reports. Based on the results of data processing and analysis, generate regular or real-time supervision reports. The supervision reports present the situation of key projects in land use planning, construction, and operation management, point out existing problems and changing trends, and put forward corresponding suggestions and measures.

[0035] Further, the adjustments and optimizations in step six are as follows:

[0036] Data collection and organization: collect and organize the data generated during the supervision process, including images, videos, and geographic location information collected by drones, and pre-process, clean, and classify the data;

[0037] Data visualization design: design data visualization solutions based on regulatory needs and objectives, select appropriate data display methods, color and marking systems, and implementation of interactive functions, and deploy data visualization.

[0038] Compared with the prior art, the present invention has the following beneficial effects:

[0039] 1. The present invention can achieve effective coverage of large areas by establishing drone airports at multiple locations to form clusters. The equipped high-definition camera can provide high-definition videos and images, provide detailed and accurate data for supervision, and help to promptly discover problems in the project and improve the accuracy and efficiency of supervision. The configuration of data transmission equipment and data processing systems ensures that the data collected by drones can be transmitted and processed in real time, which enables the competent authorities to grasp the status of the project in real time and provide strong support for decision-making.

[0040] 2. The present invention utilizes drones for flight data collection, and can quickly obtain various types of data at the locations of key projects. Through high-definition cameras and sensors, drones can capture detailed information on topography, buildings and vegetation. By planning drone flight routes and setting collection points, comprehensive coverage and accurate data collection can be ensured. The collected data can be digitized, and information such as topography, buildings and vegetation can be converted into digital form to form a data base map. This digital processing method facilitates subsequent data analysis, processing and storage, and improves the readability and operability of the data.

[0041] 3. The present invention uses geographic information system technology to overlay the data base map with the city base map, which can ensure a higher degree of geographic information matching between the two base maps and improve the accuracy of data comparison. This overlay operation can better integrate data from different sources, enhance the comparability and reference value of data, and conduct multi-map comparison and analysis in combination with geographic information coordinate points, so as to more accurately find out the changes in the locations of key projects, and can comprehensively cover various types of information within the supervision area, and conduct comprehensive analysis from various aspects such as land use changes, building increases and decreases to environmental changes. Based on the results of multi-map comparison and analysis, the changes in the locations of key projects are marked and classified in detail. This marking and classification operation helps to display the changes more clearly, so that the competent authorities can quickly identify key land use changes, building increases and decreases, and environmental change trends.

[0042] 4. The present invention can cover multiple key projects at the same time through the collaborative operation of drone airport clusters, thereby greatly shortening the time for shooting and collecting data for projects across the city and improving the real-time and efficiency of supervision. All projects are photographed and data is collected at the same time, ensuring the timeliness and consistency of the data, facilitating subsequent data analysis and comparison. During drone shooting, projects that need to be focused on are selected, and these projects are actively searched for in subsequent re-shooting, thereby achieving precise supervision of key projects and improving the pertinence and effectiveness of supervision. Through reasonable drone resource allocation and formulation of supervision plans, the number and performance of drone airport clusters can be fully utilized, resource utilization can be optimized, and supervision costs can be reduced. Adjustments and optimizations can be made according to actual supervision needs, such as increasing the number of drones, adjusting supervision frequency and cycle, etc., to adapt to supervision tasks of different scales and complexities. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 This is a flow chart of the method for supervising key projects based on drone airport clusters of the present invention. DETAILED DESCRIPTION

[0044] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0045] In order to solve the technical problems of low efficiency of UAV collaborative operation, inaccurate comparison and analysis of multiple images, and incomplete data base map collection, please refer to Figure 1 , the present invention provides the following technical solutions:

[0046] The method for supervising key projects based on drone airport clusters includes the following steps:

[0047] Step 1: Establish a drone airport cluster, which contains multiple drone airports. Each drone airport in the cluster is responsible for a different area and is equipped with high-definition cameras and data transmission equipment. Each drone airport is equipped with drone take-off and landing equipment, drone control system and data processing system;

[0048] The adjustments and optimizations in step one are as follows:

[0049] Select a suitable location to establish a drone airport, evaluate the target location to ensure that it meets the requirements for establishing a drone airport, and obtain the necessary permits and authorizations, design and construct drone airport facilities, design and construct facilities according to requirements and specifications, and ensure that they are fully functional, safe and reliable;

[0050] Configure high-definition camera devices and data transmission equipment, select appropriate high-definition camera devices and data transmission equipment, and install and configure them to ensure that their performance meets the requirements;

[0051] Equipped with UAV take-off and landing equipment, UAV control system and data processing system. According to needs, select appropriate UAV take-off and landing equipment, UAV control system and data processing system, and integrate and configure them.

[0052] Specifically, by establishing drone airports in multiple locations to form a cluster, effective coverage of large areas can be achieved. Each drone airport is responsible for a different area to ensure that there are no blind spots in supervision. The equipped high-definition camera device can provide high-definition video and images, providing detailed and accurate data for supervision. This helps to detect problems in the project in a timely manner and improve the accuracy and efficiency of supervision. The configuration of data transmission equipment and data processing systems ensures that the data collected by drones can be transmitted and processed in real time. This allows the competent authorities to grasp the status of the project in real time and provide strong support for decision-making.

[0053] Step 2: Use drones to fly in the project supervision area to collect data on the location of key projects, including but not limited to topography, buildings, vegetation and other information, digitize the collected data and transmit it to the data center to form a data base map;

[0054] The adjustments and optimizations in step 2 are as follows:

[0055] Plan the flight route and collection points of the drone. Based on regulatory requirements, use geographic information system technology to draw a detailed flight route map. The route should cover the entire regulatory area and take into account factors such as terrain undulations and obstacles. At the same time, according to the characteristics of the project, determine the areas where data needs to be collected and set collection points;

[0056] Perform flight missions and collect data. According to the planned flight routes and points, dispatch drones to fly, use the high-definition cameras and sensors on the drones to capture images, collect information such as topography, buildings and vegetation, and transmit the collected data to the data center in real time through the data transmission equipment equipped on the drones;

[0057] Data digitization processing, digitization of pre-processed data, including digitization of the height, slope, and direction of the terrain, digitization of the height, area, and structure of buildings, and digitization of the type and distribution of vegetation. The results of the digitization processing will form a data base map.

[0058] Specifically, using drones for flight collection can quickly obtain various types of data at the locations of key projects. Through high-definition cameras and sensors, drones can capture detailed information on topography, buildings and vegetation. At the same time, through data transmission equipment, these data can be transmitted to the data center in real time, greatly improving the efficiency and real-time nature of data collection. By planning the flight route of drones and setting collection points, comprehensive coverage and accurate collection of data can be ensured. The application of geographic information system technology helps to draw detailed flight route maps, taking into account factors such as terrain undulations and obstacles, thereby ensuring the integrity and accuracy of the data. Digital processing of the collected data can convert information such as topography, buildings and vegetation into digital form to form a data base map. This digital processing method facilitates subsequent data analysis, processing and storage, and improves the readability and operability of the data.

[0059] Step 3: Overlay the data base map with the city base map, combine the geographic information coordinate points, conduct multi-map comparison analysis, and find out the changes in the locations of key projects;

[0060] For the adjustment and optimization in step three, specifically:

[0061] Overlay the data base map with the city base map, use geographic information system technology to overlay the data base map with the city base map, ensure the matching degree of geographic information between the two base maps, and calibrate and adjust the coordinate points;

[0062] Combine geographic information coordinate points to conduct multi-map comparative analysis. On the superimposed base map, conduct multi-map comparative analysis based on geographic information coordinate points to find out the changes in the location of key projects, including changes in land use, increase and decrease of buildings, and environmental changes;

[0063] Find out the changes in the locations of key projects. Based on the results of multi-map comparison and analysis, make detailed annotations and classifications of the changes in the locations of key projects, mark different types of land use changes, including an increase in construction land and a decrease in agricultural land, mark the location and type of new buildings, and mark the changing trends and impact range of environmental quality.

[0064] Specifically, by using geographic information system technology to overlay the data base map with the city base map, it is possible to ensure a higher degree of geographic information matching between the two base maps and improve the accuracy of data comparison. This overlay operation can better integrate data from different sources and enhance the comparability and reference value of data. Combining multi-map comparative analysis with geographic information coordinate points can more accurately identify changes in the locations of key projects. This method can comprehensively cover all types of information within the regulatory area, and conduct a comprehensive analysis of various aspects from land use changes, building increases and decreases to environmental changes. Based on the results of multi-map comparative analysis, the changes in the locations of key projects are marked and classified in detail. This marking and classification operation helps to show the changes more clearly, allowing the competent authorities to quickly identify key land use changes, building increases and decreases, and environmental change trends.

[0065] The above technical solutions can provide comprehensive decision-making support for the competent authorities. Through multi-image comparison and analysis, the competent authorities can better understand the history and current situation of the key project sites, and provide a basis for decision-making in planning, construction and environmental management.

[0066] Step 4: Formulate corresponding regulatory strategies based on the comparative analysis results;

[0067] The adjustments and optimizations in step 4 are as follows:

[0068] Analyze the comparative results in detail to understand the changes in the locations of key projects, including changes in land use, increase or decrease in buildings, and increase or decrease in environmental quality;

[0069] Determine the supervision objectives. Based on the comparative analysis results and the characteristics of the project, clarify the supervision objectives, which include maintaining the stability of land use, ensuring the compliance of construction activities, and protecting environmental quality;

[0070] Formulate regulatory strategies and develop specific regulatory strategies based on regulatory objectives.

[0071] Specifically, formulating regulatory strategies based on comparative analysis results can ensure the pertinence and effectiveness of regulatory strategies. Through in-depth analysis of changes, regulatory strategies that are in line with actual conditions can be formulated in a more targeted manner to ensure the effectiveness and accuracy of regulatory work. Clarifying regulatory objectives based on the comparative results of the analysis and the characteristics of the project provides clear direction and guidance for formulating regulatory strategies, helps avoid blindness in regulatory work, and improves the pertinence and feasibility of regulatory strategies. Formulating specific regulatory strategies based on regulatory objectives can ensure the specificity and operability of the strategies. Specific regulatory strategies can better guide subsequent regulatory work and ensure that the competent authorities can effectively implement and execute the strategies.

[0072] The above technical solution can provide comprehensive decision-making support for the competent authorities. By formulating specific regulatory strategies, the competent authorities can better understand and grasp the regulatory needs of the project and provide a basis for subsequent decision-making. At the same time, the technical solution also helps to strengthen the cooperation and communication between the competent authorities and other relevant departments, and jointly promote the smooth implementation of the project.

[0073] Step 5: Use the drone airport cluster to periodically and accurately re-shoot the city's key projects, and collect data on the city's key projects at the same time in a short period of time, including but not limited to land use planning, construction, operation management and other links;

[0074] The adjustments and optimizations in step 5 are as follows:

[0075] Set regulatory objectives and scope, and clarify regulatory objectives and scope;

[0076] Formulate a supervision plan. According to the set supervision objectives and scope, formulate a supervision plan, wherein the supervision plan includes determining the supervision frequency, supervision elements, supervision cycle and corresponding drone resource allocation. The supervision cycle is set according to actual supervision needs;

[0077] Implement drone flight monitoring. According to the supervision plan, flight monitoring is carried out through drone airport clusters. Specific flight missions are set for each drone, including take-off time, route, and shooting parameters. Each drone starts to perform tasks at the same time based on the flight mission. Through the coordinated operation of drone clusters, key projects in the city are photographed and collected data at the same time;

[0078] When the drone is shooting, the key items that need to be focused on are selected, and the selection information and shooting data are saved on the remote control. The data is transmitted to the drone before the flight. In the subsequent reshoot, the drone actively searches for and shoots the previously selected key items based on the selection information, and reshoots accurately. After the shooting is completed, the drone transmits the data to the ground station and the cloud server for analysis and processing;

[0079] Generate supervision reports. Based on the results of data processing and analysis, generate regular or real-time supervision reports. The supervision reports present the situation of key projects in land use planning, construction, and operation management, point out existing problems and changing trends, and put forward corresponding suggestions and measures.

[0080] Specifically, through the drone airport cluster, comprehensive supervision can be carried out on key projects, including land use planning, construction, operation management and other links. The full-factor supervision method can ensure that key projects are effectively supervised and controlled at all stages. Using drones for flight monitoring can quickly obtain real-time data at all stages of key projects. Through the collaborative work of drone airport clusters, efficient flight monitoring and data collection can be achieved. The real-time supervision method helps to timely discover problems and changing trends and improve the efficiency of supervision.

[0081] Drones have flexible flight capabilities and a wide monitoring range, which can fully cover the regulatory needs of key projects at all stages. Through regular or real-time regulatory reports, the competent authorities can fully understand the actual situation of key projects at all stages. These reports can provide detailed data and analysis results, and provide data-driven decision-making support for the competent authorities, helping them make more scientific and accurate decisions.

[0082] Specifically, through the collaborative operation of drone airport clusters, multiple key projects can be covered at the same time, which greatly shortens the time for shooting and collecting data for projects across the city and improves the real-time and efficiency of supervision. All projects shoot and collect data at the same time, ensuring the timeliness and consistency of the data, facilitating subsequent data analysis and comparison. During drone shooting, projects that need to be focused on are selected, and these projects are actively searched for during subsequent re-shooting, achieving precise supervision of key projects and improving the pertinence and effectiveness of supervision. Through reasonable drone resource allocation and the formulation of supervision plans, the number and performance of drone airport clusters can be fully utilized, resource utilization can be optimized, and supervision costs can be reduced. Adjustments and optimizations can be made according to actual supervision needs, such as increasing the number of drones, adjusting the frequency and cycle of supervision, etc., to adapt to supervision tasks of different scales and complexities.

[0083] Step 6: Display the data generated during the supervision process in all dimensions;

[0084] The adjustments and optimizations in step six are as follows:

[0085] Data collection and organization: collect and organize the data generated during the supervision process, including images, videos, and geographic location information collected by drones, and pre-process, clean, and classify the data;

[0086] Data visualization design: design data visualization solutions based on regulatory needs and objectives, select appropriate data display methods, color and marking systems, and implementation of interactive functions, and deploy data visualization.

[0087] Specifically, through full-dimensional data display, the competent authorities can intuitively understand the overall situation and details of key projects, which helps to improve the readability and usability of data, reduce the difficulty of data understanding, and enable the competent authorities to quickly obtain the required information. Full-dimensional data display can provide comprehensive regulatory data to help competent authorities fully understand the situation of key projects. From land use planning to construction and operation management, data at each stage can be effectively displayed, allowing the competent authorities to better control the overall progress and changes of the project.

[0088] The full-dimensional data display not only provides comprehensive data support for the competent department, but also helps to collaborate with other relevant departments. By sharing data and information, the competent department can better communicate and cooperate with other departments to jointly promote the smooth implementation of the project.

[0089] 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 method for supervising key projects based on drone airport clusters, characterized in that: The following steps are involved: Step 1: Establish a drone airport cluster, which contains multiple drone airports. Each drone airport in the cluster is responsible for a different area and is equipped with high-definition cameras and data transmission equipment. Each drone airport is equipped with drone take-off and landing equipment, drone control system and data processing system; Step 2: Use drones to fly in the project supervision area to collect data on the locations of key projects, digitize the collected data and transmit it to the data center to form a data base map; Step 3: Overlay the data base map with the city base map, combine the geographic information coordinate points, conduct multi-map comparison analysis, and find out the changes in the locations of key projects; Step 4: Formulate corresponding regulatory strategies based on the comparative analysis results; Step 5: Use the drone airport cluster to periodically and accurately re-shoot the city's key projects, and collect data on the city's key projects at the same time in a short period of time; Step 6: Display the data generated during the supervision process in all dimensions.

2. The method for supervising key projects based on drone airport clusters as claimed in claim 1 is characterized in that: The adjustments and optimizations in step one are as follows: Select a suitable location to establish a drone airport, evaluate the target location to ensure that it meets the requirements for establishing a drone airport, and obtain the necessary permits and authorizations, design and construct drone airport facilities, design and construct facilities according to requirements and specifications, and ensure that they are fully functional, safe and reliable; Configure high-definition camera devices and data transmission equipment, select appropriate high-definition camera devices and data transmission equipment, and install and configure them to ensure that their performance meets the requirements; Equipped with UAV take-off and landing equipment, UAV control system and data processing system. According to needs, select appropriate UAV take-off and landing equipment, UAV control system and data processing system, and integrate and configure them.

3. The method for supervising key projects based on drone airport clusters as claimed in claim 1 is characterized in that: The adjustments and optimizations in step 2 are as follows: Plan the flight route and collection points of the drone. Based on regulatory requirements, use geographic information system technology to draw a detailed flight route map. The route should cover the entire regulatory area and take into account terrain undulations and obstacles. At the same time, according to the characteristics of the project, determine the areas where data needs to be collected and set collection points; Perform flight missions and collect data. According to the planned flight routes and points, dispatch drones to fly, use the high-definition cameras and sensors on the drones to capture images, collect topography, buildings and vegetation, and transmit the collected data to the data center in real time through the data transmission equipment equipped on the drones; Data digitization processing, digitization of pre-processed data, including digitization of the height, slope, and direction of the terrain, digitization of the height, area, and structure of buildings, and digitization of the type and distribution of vegetation. The results of the digitization processing will form a data base map.

4. The method for supervising key projects based on drone airport clusters as claimed in claim 1 is characterized in that: The adjustments and optimizations in step three are as follows: Overlay the data base map with the city base map, use geographic information system technology to overlay the data base map with the city base map, ensure the matching degree of geographic information between the two base maps, and calibrate and adjust the coordinate points; Combine geographic information coordinate points to conduct multi-map comparative analysis. On the superimposed base map, conduct multi-map comparative analysis based on geographic information coordinate points to find out the changes in the location of key projects, including changes in land use, increase and decrease of buildings, and environmental changes; Find out the changes in the locations of key projects, and based on the results of multi-map comparison and analysis, make detailed annotations and classifications of the changes in the locations of key projects, mark different types of land use changes, including an increase in construction land and a decrease in agricultural land, mark the location and type of new buildings, and mark the changing trends and impact range of environmental quality.

5. The method for supervising key projects based on drone airport clusters as claimed in claim 1 is characterized in that: The adjustments and optimizations in step 4 are as follows: Analyze the comparative results in detail to understand the changes in the locations of key projects, including changes in land use, increase or decrease in buildings, and increase or decrease in environmental quality; Determine the supervision objectives. Based on the comparative analysis results and the characteristics of the project, clarify the supervision objectives, which include maintaining the stability of land use, ensuring the compliance of construction activities, and protecting environmental quality; Formulate regulatory strategies and develop specific regulatory strategies based on regulatory objectives.

6. The method for supervising key projects based on drone airport clusters as claimed in claim 1, characterized in that: The adjustments and optimizations in step 5 are as follows: Set regulatory objectives and scope, and clarify regulatory objectives and scope; Formulate a supervision plan. According to the set supervision objectives and scope, formulate a supervision plan, wherein the supervision plan includes determining the supervision frequency, supervision elements, supervision cycle and corresponding drone resource allocation. The supervision cycle is set according to actual supervision needs; Implement drone flight monitoring. According to the supervision plan, flight monitoring is carried out through drone airport clusters. Specific flight missions are set for each drone, including take-off time, route, and shooting parameters. Each drone starts to perform tasks at the same time based on the flight mission. Through the coordinated operation of drone clusters, key projects in the city are photographed and collected data at the same time; When the drone is shooting, the key items that need to be focused on are selected, and the selection information and shooting data are saved on the remote control. The data is transmitted to the drone before the flight. In the subsequent reshoot, the drone actively searches for and shoots the previously selected key items based on the selection information, and reshoots accurately. After the shooting is completed, the drone transmits the data to the ground station and the cloud server for analysis and processing; Generate supervision reports. Based on the results of data processing and analysis, generate regular or real-time supervision reports. The supervision reports present the situation of key projects in land use planning, construction, and operation management, point out existing problems and changing trends, and put forward corresponding suggestions and measures.

7. The method for supervising key projects based on drone airport clusters as claimed in claim 1, characterized in that: The adjustments and optimizations in step six are as follows: Data collection and organization: collect and organize the data generated during the supervision process, including images, videos, and geographic location information collected by drones, and pre-process, clean, and classify the data; Data visualization design: design data visualization solutions based on regulatory needs and objectives, select appropriate data display methods, color and marking systems, and implementation of interactive functions, and deploy data visualization.

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