Unmanned aerial vehicle monitoring network layout method based on geographic space information

Abstract

The invention relates to the field of ecological monitoring, in particular to an unmanned aerial vehicle monitoring network layout method based on geographic space information, and the method comprises the steps: constructing an ecological source service supply region and an ecological resistance surface of the ecological source service supply region, and recognizing an ecological corridor region and an ecological strategy point; according to an ecological source service supply area, an ecological corridor area and an ecological strategy point, an unmanned aerial vehicle monitoring network is constructed to form a unified and independent unmanned aerial vehicle ecological system monitoring system, so that reasonable layout of unmanned aerial vehicle networking is realized, high-frequency, real-time and dynamic monitoring requirements are met, and the monitoring efficiency is improved. Accurate matching of monitoring area coverage and monitoring requirements of the unmanned aerial vehicle is realized.

Description

Technical Field

[0001] The present invention relates to the field of ecological monitoring, and in particular to a method, device, computer equipment and storage medium for unmanned aerial vehicle monitoring network layout based on geographic space information. Background Art

[0002] As an important part of low-altitude economic infrastructure construction, the construction of drone monitoring networks faces problems such as difficult site selection, unstable communication signals, and mismatch with actual monitoring needs. In disciplines such as aeronautics, computer science, and communication science, drone network construction has been widely studied, focusing on algorithm optimization and simulation experiments. Although it has solved the problems of drone monitoring network layout and communication stability to a certain extent, it is still difficult to directly apply it to the actual construction stage due to the lack of geospatial information.

[0003] The development of low-altitude geography has provided a new solution for the construction of drone networks. By matching the layout of drone monitoring networks with specific geographic spatial features, high-precision and high-efficiency monitoring of target areas can be achieved. This precise positioning can ensure the effectiveness and accuracy of monitoring data, avoid waste of resources and repeated monitoring, and also enable a comprehensive grasp of the overall status of the ecosystem. However, in the face of the monitoring needs of dynamic changes in ecosystems, diversity of landscape patterns, and complexity of ecological functions, the technical solutions for the currently constructed drone monitoring networks are difficult to accurately match with geographic spatial element information and cannot meet the needs of high-frequency, real-time dynamic monitoring. Summary of the invention

[0004] Based on this, the purpose of the present invention is to provide a method, device, computer equipment and storage medium for the layout of a drone monitoring network based on geographic spatial information. By constructing ecological source service supply areas and ecological resistance surfaces of ecological source service supply areas, ecological corridor areas and ecological strategic points are identified, and a drone monitoring network is constructed according to ecological source service supply areas, ecological corridor areas and ecological strategic points to form a unified and independent drone ecosystem monitoring system, thereby achieving a reasonable layout of drone networking, meeting the needs for high-frequency, real-time dynamic monitoring, and achieving precise matching of drone monitoring area coverage and monitoring needs.

[0005] In a first aspect, an embodiment of the present application provides a method for deploying a drone monitoring network based on geospatial information, comprising the following steps: Obtaining the area to be laid out and the geospatial information data and ecosystem service supply data of the area to be laid out, wherein the geospatial information data includes land use data, digital elevation model data and normalized difference vegetation index data; Using a morphological spatial pattern analysis method, according to the land use data, the ecological source area of ​​the area to be laid out is identified to obtain the ecological source area; According to the ecosystem service supply data, the ecosystem service supply area of ​​the area to be laid out is identified to obtain the ecosystem service supply area; the ecological source area and the ecosystem service supply area are superimposed to construct the ecological source service supply area; Constructing an ecological resistance surface of the ecological source service supply area according to the land use data, digital elevation model data and normalized difference vegetation index data; According to the ecological source service supply area and the ecological resistance surface of the ecological source service supply area, ecological corridor areas and ecological strategic points are constructed; according to the ecological source service supply area, ecological corridor areas and ecological strategic points, a drone monitoring network is constructed.

[0006] In a second aspect, an embodiment of the present application provides a device for monitoring network layout of a drone based on geospatial information, including: A data acquisition module, used to obtain the area to be laid out and the geospatial information data and ecosystem service supply data of the area to be laid out, wherein the geospatial information data includes land use data, digital elevation model data and normalized difference vegetation index data; A region identification module is used to identify the ecological source region of the area to be laid out according to the land use data by using a morphological spatial pattern analysis method to obtain the ecological source region; A region construction module is used to identify the ecosystem service supply region of the area to be laid out according to the ecosystem service supply data to obtain the ecosystem service supply region; superimpose the ecological source region and the ecosystem service supply region to construct the ecological source service supply region; An ecological resistance surface construction module is used to construct an ecological resistance surface of the ecological source service supply area according to the land use data, digital elevation model data and normalized vegetation index data; The drone monitoring network layout module is used to construct ecological corridor areas and ecological strategic points based on the ecological source service supply area and the ecological resistance surface of the ecological source service supply area; and to construct a drone monitoring network based on the ecological source service supply area, the ecological corridor area and the ecological strategic points.

[0007] In a third aspect, an embodiment of the present application provides a computer device, comprising a processor, a memory, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the steps of the method for unmanned aerial vehicle monitoring network layout based on geospatial information as described in the first aspect are implemented.

[0008] In a fourth aspect, an embodiment of the present application provides a storage medium, which stores a computer program. When the computer program is executed by a processor, the steps of the method for unmanned aerial vehicle monitoring network layout based on geographic spatial information as described in the first aspect are implemented.

[0009] In an embodiment of the present application, a method, device, computer equipment and storage medium for the layout of a drone monitoring network based on geographic spatial information are provided. By constructing ecological source service supply areas and ecological resistance surfaces of ecological source service supply areas, ecological corridor areas and ecological strategic points are identified, and a drone monitoring network is constructed according to the ecological source service supply areas, ecological corridor areas and ecological strategic points to form a unified and independent drone ecosystem monitoring system, thereby achieving a reasonable layout of drone networking, meeting high-frequency, real-time dynamic monitoring needs, and achieving precise matching of drone monitoring area coverage and monitoring needs.

[0010] For better understanding and implementation, the present invention is described in detail below with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] Figure 1 A schematic diagram of a flow chart of a method for deploying a drone monitoring network based on geospatial information provided by one embodiment of the present application; Figure 2 A schematic diagram of S2 in the process of a method for unmanned aerial vehicle monitoring network layout based on geospatial information provided by an embodiment of the present application; Figure 3 A schematic diagram of S3 in the process of a method for unmanned aerial vehicle monitoring network layout based on geospatial information provided by an embodiment of the present application; Figure 4 A schematic diagram of S4 in the process of a method for unmanned aerial vehicle monitoring network layout based on geospatial information provided by an embodiment of the present application; Figure 5 A schematic diagram of S5 in the process of a method for unmanned aerial vehicle monitoring network layout based on geospatial information provided by an embodiment of the present application; Figure 6 A schematic diagram of S5 in the process of a method for unmanned aerial vehicle monitoring network layout based on geospatial information provided by an embodiment of the present application; Figure 7 A schematic diagram of S57 in the process of a method for unmanned aerial vehicle monitoring network layout based on geographic spatial information provided by an embodiment of the present application; Figure 8 A schematic diagram of the structure of a UAV monitoring network layout device based on geographic space information provided by one embodiment of the present application; Fig. 9A schematic diagram of the structure of a computer device provided for one embodiment of the present application. DETAILED DESCRIPTION

[0012] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present application. Instead, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the appended claims.

[0013] The terms used in this application are for the purpose of describing specific embodiments only and are not intended to limit this application. The singular forms of "a", "said" and "the" used in this application and the appended claims are also intended to include plural forms unless the context clearly indicates other meanings. It should also be understood that the term "and / or" used herein refers to and includes any or all possible combinations of one or more associated listed items.

[0014] It should be understood that, although the terms first, second, third, etc. may be used in the present application to describe various information, these information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of the present application, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Depending on the context, the words "if" / "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determination".

[0015] See also Figure 1 , Figure 1 A flowchart of a method for unmanned aerial vehicle monitoring network layout based on geospatial information provided in one embodiment of the present application is provided, and the method comprises the following steps: S1: Obtain the area to be laid out and the geographic spatial information data and ecosystem service supply data of the area to be laid out.

[0016] The executor of the method for deploying a network of unmanned aerial vehicle monitoring based on geographic spatial information is a layout device of the method for deploying a network of unmanned aerial vehicle monitoring based on geographic spatial information (hereinafter referred to as the layout device). In an optional embodiment, the layout device may be a computer device, a server, or a server cluster composed of multiple computer devices.

[0017] In this embodiment, the layout device can obtain the geospatial information data and ecosystem service supply data of the area to be laid out from a preset database, wherein the geospatial information data includes land use data, digital elevation model data and normalized vegetation index data.

[0018] Land use data are data and information that reflect the status, characteristics, dynamic changes, distribution features of the land use system and land use elements, as well as human development and utilization, governance, transformation, management and protection, and land use planning.

[0019] Digital Elevation Model data can reflect local terrain features with a certain resolution and is an important original data for studying and analyzing terrain, watersheds, and identifying land features.

[0020] Normalized Difference Vegetation Index (NDVI) is an index used in remote sensing image analysis to evaluate and quantify the vegetation coverage of the surface. It is calculated based on the difference in reflectance between the near infrared band (NIR) and the red band (Red) of the image.

[0021] The ecosystem service supply data reflects the degree to which the ecosystem provides various material and non-material service functions for social and economic development and ecological environment maintenance, wherein the ecosystem service supply data includes ecosystem service supply data for several ecosystem types.

[0022] Specifically, the ecosystem service supply data of the several ecosystem types include habitat quality service supply data, carbon sequestration service supply data and soil conservation service supply data. The habitat quality service supply data reflects the sustainability, resilience and self-recovery of biodiversity, and reflects the supply capacity under habitat quality services. The carbon sequestration service supply data reflects the supply capacity of the ecosystem under the direct fixation of carbon dioxide in the atmosphere through photosynthesis of natural vegetation, and the soil conservation service supply data reflects the supply capacity of the ecosystem under the erosion control capacity to prevent soil loss and the storage and retention capacity of sediment.

[0023] S2: Using the morphological spatial pattern analysis method, according to the land use data, the ecological source area of ​​the area to be laid out is identified to obtain the ecological source area.

[0024] Morphological Spatial Pattern Analysis (MSPA) conducts spatial pattern analysis on raster images based on the principles of mathematical morphology. It can accurately distinguish the types and structures of ecosystems and identify important patches that play an important role in improving ecological security connectivity.

[0025] In this embodiment, the layout device adopts a morphological spatial pattern analysis method to identify the ecological source area of ​​the area to be laid out according to the land use data to obtain the ecological source area.

[0026] See also Figure 2 , Figure 2 The schematic diagram of S2 in the process of the method for unmanned aerial vehicle monitoring network layout based on geospatial information provided by one embodiment of the present application includes steps S21-S22, which are specifically as follows: S21: Using the farmland, unused land and construction land data in the land use data as background data, and the forest, tidal flat and wetland data in the land use data as foreground data, several candidate patch areas of the area to be laid out are identified, and the area data of the several candidate patch areas are obtained.

[0027] In this embodiment, the layout device is based on Guidos software, takes the farmland, unused land and construction land data in the land use data as background data, and the forest, tidal flat and wetland data in the land use data as foreground data, and adopts the eight-field analysis method to identify several non-overlapping types of initial patch areas in the area to be laid out, wherein the initial patch areas include core areas, bridging areas, pores, loops, branches, edge areas and island patch areas.

[0028] The layout device uses the core area patch area as a candidate patch area to represent a potential ecological source, and obtains area data of several of the candidate patch areas.

[0029] S22: Determine a minimum area threshold, extract a plurality of target patch areas from the plurality of candidate patch areas according to the area data of the plurality of candidate patch areas and the minimum area threshold, and construct the ecological source area.

[0030] Since the supply capacity of the core patch area with a smaller area is limited, in this embodiment, the layout device obtains the minimum ratio corresponding to several candidate area thresholds according to the area data of several candidate patch areas, several preset candidate area thresholds and the area threshold minimum ratio calculation algorithm, and takes the candidate area threshold with the smallest minimum ratio as the minimum area threshold to determine the minimum area threshold, wherein the area threshold minimum ratio calculation algorithm is:

[0031] In the formula, is the minimum ratio of area threshold, i is the candidate area threshold, i =0, 0.5, 1.0, 1.5, ....; To meet the candidate area threshold i The area data of the candidate patch region is the area data of the candidate patch region that meets the candidate area threshold i+0.5.

[0032] The layout device takes the candidate patch area as the target patch area based on the area data of several candidate patch areas and the minimum area threshold. If the area data of the candidate patch area is greater than the minimum area threshold, the candidate patch area is taken as the target patch area, and several target patch areas are extracted from the candidate patch areas to construct the ecological source area.

[0033] S3: Based on the ecosystem service supply data, identify the ecosystem service supply area of ​​the area to be laid out to obtain the ecosystem service supply area; superimpose the ecological source area and the ecosystem service supply area to construct the ecological source service supply area.

[0034] In this embodiment, the layout device identifies the ecosystem service supply area of ​​the area to be laid out according to the ecosystem service supply data to obtain the ecosystem service supply area.

[0035] The layout device superimposes the ecological source area and the ecosystem service supply area to construct an ecological source service supply area, wherein the ecological source service supply area includes several levels of ecological source service supply sub-areas, and the several levels of ecological source service supply sub-areas include first-level ecological source service supply sub-areas, second-level ecological source service supply sub-areas and third-level ecological source service supply sub-areas. The first-level ecological source service supply sub-area is represented as a high supply area of ​​ecosystem service function, the second-level ecological source service supply sub-area is represented as a moderate supply area of ​​ecosystem service function, and the third-level ecological source service supply sub-area is represented as a light supply area of ​​ecosystem service function.

[0036] See also Figure 3 , Figure 3 The schematic diagram of S3 in the process of the method for unmanned aerial vehicle monitoring network layout based on geospatial information provided by one embodiment of the present application includes steps S31 to S33, which are specifically as follows: S31: Divide the area to be laid out into grid units to obtain a plurality of grid units of the area to be laid out; calculate the ecosystem service comprehensive index according to a plurality of types of ecosystem service supply data of the plurality of grid units and corresponding weight parameters by using a method of superimposing ecosystem service comprehensive index layers, and obtain the ecosystem service comprehensive index of the plurality of grid units.

[0037] In this embodiment, the layout device divides the area to be laid out into grid units to obtain a plurality of grid units of the area to be laid out.

[0038] The layout device adopts a method of superimposing ecosystem service comprehensive index layers. According to several types of ecosystem service supply data of several grid units and corresponding weight parameters, different types of ecosystem service supply data in the same grid are multiplied and added with corresponding weights, and the accumulated result is used as the ecosystem service comprehensive index to obtain the ecosystem service comprehensive index of several grid units.

[0039] S32: According to the comprehensive ecosystem service index of the plurality of grid units, the plurality of grid units are graded using a natural breakpoint method to obtain ecosystem service supply grade data of the plurality of grid units.

[0040] In this embodiment, the layout device classifies the several grid cells according to the comprehensive ecosystem service index of the several grid cells by using the natural breakpoint method, and obtains the ecosystem service supply level data of the several grid cells, wherein the ecosystem service supply level data includes a high supply level, a medium supply level and a light supply level.

[0041] S33: taking several grid cells with ecosystem service supply level data of high supply level, medium supply level and light supply level as target grid cells, combining several target grid cells with the same ecosystem service supply level data, constructing several levels of ecosystem service supply sub-areas, and obtaining the ecosystem service supply area.

[0042] In this embodiment, the layout device takes several grid units with the ecosystem service supply level data of high supply level, medium supply level and light supply level as target grid units, combines several target grid units with the same ecosystem service supply level data, constructs several levels of ecosystem service supply sub-areas, and obtains the ecosystem service supply area.

[0043] S4: constructing an ecological resistance surface of the ecological source service supply area according to the land use data, digital elevation model data and normalized difference vegetation index data.

[0044] In this embodiment, the layout device constructs the ecological resistance surface of the ecological source service supply area according to the land use data, digital elevation model data and normalized vegetation index data.

[0045] See also Figure 4 , Figure 4The schematic diagram of S4 in the process of the method for unmanned aerial vehicle monitoring network layout based on geospatial information provided by one embodiment of the present application includes steps S41 to S43, which are specifically as follows: S41: Obtaining several types of ecological resistance factors and corresponding resistance values ​​of several grid cells in the ecological source service supply area according to the land use data, digital elevation model data and normalized difference vegetation index data.

[0046] In this embodiment, the layout device constructs ecological resistance factors from the two aspects of ecological attributes and human interference according to the land use data, digital elevation model data and normalized vegetation index data, and constructs several types of ecological resistance factors for several grid units in the ecological source service supply area as core resistance factors affecting ecological security, wherein the ecological resistance factors include ecological attribute resistance factors and human interference resistance factors; the ecological attribute resistance factors include elevation resistance factors, slope resistance factors and normalized vegetation index resistance factors; the human interference resistance factors include land use factors, distance resistance factors from water systems and distance resistance factors from roads.

[0047] In order to eliminate the interference of multicollinearity among the factors, the layout equipment obtains the resistance values ​​corresponding to several different types of ecological resistance factors of several grid units according to the correspondence between several different types of ecological resistance factors and corresponding resistance values ​​in the preset ecological resistance factor correspondence table.

[0048] Specifically, the layout device uses ArcGIS platform to convert various ecological resistance factors into raster data through conversion tools according to several types of ecological resistance factors of several grid units, and adopts natural breakpoint method to divide the resistance factors into five levels of extremely low, low, medium, high and extremely high, and assigns different resistance coefficients to obtain the level corresponding to the ecological resistance factor of the corresponding type, and traverses the ecological resistance factor corresponding table according to the level corresponding to the ecological resistance factor of the corresponding type to obtain the resistance value corresponding to the level corresponding to the ecological resistance factor of this type, and obtain the resistance values ​​corresponding to several different types of ecological resistance factors of several grid units.

[0049] S42: Using the principal component analysis method, according to the land use data, digital elevation model data and normalized vegetation index data, obtain weight parameters corresponding to several different types of ecological resistance factors of several grid units in the ecological source service supply area.

[0050] In this embodiment, the layout device uses the spatial principal component analysis tool in ArcGIS software and adopts the principal component analysis method to calculate the eigenvalue, contribution rate and load matrix of each principal component according to the land use data, digital elevation model data and normalized vegetation index data, and obtains several different types of ecological resistance factors and corresponding weight parameters of several grid units in the ecological source service supply area.

[0051] S43: According to the resistance values ​​corresponding to the several types of ecological resistance factors and the corresponding weight parameters, the ecological resistance data of several grid units are obtained, and the ecological resistance surface of the ecological source service supply area is constructed.

[0052] In this embodiment, the layout device performs weighted superposition processing according to several types of ecological resistance factors of several grid units and corresponding weight parameters to obtain ecological resistance data of several grid units and construct the ecological resistance surface of the ecological source service supply area, wherein the ecological resistance data is:

[0053] In the formula, CF is the ecological resistance data, n is the number of ecological resistance factors, is the resistance value corresponding to the k-th type of ecological resistance factor, is the weight parameter of the kth type of ecological resistance factor.

[0054] Constructing the ecological resistance surface from both natural and human factors and exploring the difficulties experienced by species during migration can more comprehensively analyze the energy transmission resistance status in the ecological source service supply area, which can serve as the basis for the construction of the UAV monitoring network to improve the efficiency of ecosystem monitoring.

[0055] S5: Construct ecological corridor areas and ecological strategic points based on the ecological source service supply area and the ecological resistance surface of the ecological source service supply area; construct a drone monitoring network based on the ecological source service supply area, the ecological corridor area and the ecological strategic points.

[0056] In this embodiment, the layout device constructs an ecological corridor area and an ecological strategic point according to the ecological source service supply area and the ecological resistance surface of the ecological source service supply area, wherein the ecological corridor area is the optimal path for information transmission between ecological sources and plays a key role in maintaining ecological security. The ecological strategic point refers to a high-value area of ​​accumulated current that frequently crosses the ecological corridor area, which is a key node for energy flow and development and construction in the ecological corridor area, and plays a key role in the overall circulation of the ecological corridor area.

[0057] The layout equipment constructs a UAV monitoring network according to the ecological source service supply area, ecological corridor area and ecological strategic points, and reasonably arranges the UAV monitoring network based on the constructed ecological source service supply area, ecological corridor area and ecological strategic points. On the one hand, it realizes the precise matching of UAV monitoring area coverage and monitoring needs. On the other hand, the UAV base station is used as the carrier and component node of the UAV monitoring network, which has higher network stability and effectively solves the communication instability problem caused by the traditional UAV self-organizing network due to its decentralized and self-organizing characteristics.

[0058] See also Figure 5 , Figure 5 The schematic diagram of S5 in the process of the method for unmanned aerial vehicle monitoring network layout based on geospatial information provided by one embodiment of the present application includes steps S51 to S54, which are specifically as follows: S51: adopting the minimum cost path method, according to the ecological resistance data of the plurality of grid units in the plurality of ecological source service supply sub-areas, obtaining the minimum cumulative resistance value between the plurality of ecological source service supply sub-areas.

[0059] In this embodiment, the layout device adopts the minimum cost path method to obtain the minimum cumulative resistance value between several ecological source service supply sub-areas based on the ecological resistance data of several grid units of several ecological source service supply sub-areas.

[0060] Specifically, the layout device uses the Linkage Pathway—BuildNetwork and Map Linkages tool of the Linkage Mapper toolbox to obtain the minimum cumulative resistance value between several ecological source service supply sub-areas based on the ecological resistance data of several grid cells of several ecological source service supply sub-areas.

[0061] S52: According to the minimum cumulative resistance value between several ecological source service supply sub-areas and a preset resistance threshold, several combinations of ecological source service supply sub-areas are obtained, and according to the several combinations of ecological source service supply sub-areas, ecological corridors corresponding to several ecological source service supply sub-areas are constructed.

[0062] In this embodiment, the layout device obtains several combinations of ecological source service supply sub-areas based on the minimum cumulative resistance value between several ecological source service supply sub-areas and a preset resistance threshold. If the minimum cumulative resistance value is less than or equal to the resistance threshold, the layout device constructs ecological corridors corresponding to several ecological source service supply sub-areas based on the several combinations of ecological source service supply sub-areas.

[0063] S53: Construct an interaction force matrix of the ecological source service supply region, and classify the ecological corridors corresponding to the combination of several ecological source service supply sub-regions according to the interaction force values ​​between several ecological source service supply sub-regions in the interaction force matrix of the ecological source service supply region, obtain several levels of ecological corridors, and construct the ecological corridor region.

[0064] In this embodiment, the layout device constructs an ecological source service supply area interaction force matrix, wherein the ecological source service supply area interaction force matrix includes interaction force values ​​between a plurality of ecological source service supply sub-areas, and the interaction force values ​​are:

[0065] In the formula, For the i The ecological service supply sub-region and j The interaction force between the ecological service supply sub-regions, , Respectively i The ecological service supply sub-region and j The resistance value of each ecological resource service supply sub-area, , Respectively i The ecological service supply sub-region and j The area of ​​the ecological service supply sub-region, For the i The ecological service supply sub-region and j The minimum cumulative resistance value of the ecological corridor corresponding to the ecological source service supply sub-area, is the maximum cumulative resistance value of all ecological corridors.

[0066] The layout device classifies the ecological corridors corresponding to the combination of several ecological source service supply sub-areas according to the interaction force values ​​between several ecological source service supply sub-areas in the interaction force matrix of the ecological source service supply area, and obtains several levels of ecological corridors to construct the ecological corridor area, wherein the levels of ecological corridors include level one, level two and level three, the level one ecological corridor represents a high energy flow area, the level two ecological corridor represents a moderate energy flow area, and the level three ecological corridor represents a light energy flow area.

[0067] S54: Using a circuit simulation method, according to the ecological resistance data of several grid units of several levels of ecological corridors in the ecological corridor area, the ecological strategic points of several levels of the ecological corridors are identified to obtain the ecological strategic points in the ecological corridor area.

[0068] In this embodiment, the layout device adopts a circuit simulation method to identify the ecological strategic points of the ecological corridors of several levels according to the ecological resistance data of several grid units of the ecological corridors of several levels in the ecological corridor area, and obtain the ecological strategic points in the ecological corridor area.

[0069] Specifically, the layout device calls Circuitscape through the Linkage Mapper tool to identify the strategic points of ecosystem services during the model operation process, and uses the ecological source service supply sub-areas in the combination of ecological source service supply sub-areas corresponding to the ecological corridor area as circuit power supplies and circuit terminals respectively. If the ecological source service supply sub-areas in the ecological source service supply sub-areas have the same level, any one ecological source service supply sub-area is taken as the circuit power supply, and the other ecological source service supply sub-area is taken as the circuit terminal. If the ecological source service supply sub-areas in the ecological source service supply sub-areas have different levels, the ecological source service supply sub-area with a relatively high level is taken as the circuit power supply, and the ecological source service supply sub-area with a relatively low level is taken as the circuit power supply; the ecological resistance data of several grid units in the ecological corridor area are taken as conductive surfaces, and the current intensity in the ecological corridor area is analyzed by simulating the flow of current in the ecological corridor area, and the ecological strategic points in the ecological corridor area are identified, and the importance of the ecological corridor area and the ecological strategic points to maintaining the landscape connectivity of the entire region is quantitatively evaluated by the current value. In an optional embodiment, in order to improve the efficiency and accuracy of the base station site layout in the drone monitoring network, the layout device only takes the ecological strategic points of the first-level ecological corridor and the second-level ecological corridor, and deletes the ecological strategic points of the third-level ecological corridor.

[0070] The loss of ecosystem service flow direction and flow caused by transmission resistance is comprehensively considered, and the ecological resistance surface of the region is accurately evaluated. Then, the regional ecological corridor areas and ecological strategic points in the ecological corridor areas are constructed, reflecting the continuous impact of natural and human factors on ecological security, and providing scientific decision-making support for urban development and ecosystem management.

[0071] See also Figure 6 , Figure 6 The schematic diagram of S5 in the process of the method for unmanned aerial vehicle monitoring network layout based on geospatial information provided by one embodiment of the present application includes steps S55 to S57, which are specifically as follows: S55: Taking several levels of ecological corridors in the ecological corridor area and several levels of ecological source sub-areas in the ecological source area as monitoring demand areas, obtaining several center points of the monitoring demand areas; taking the center points and ecological strategic points as base station sites; taking the ecological corridor area as a communication link, and constructing an initial UAV monitoring network based on the base station sites and the communication links.

[0072] The ecological source service supply area is an important patch to ensure the ecological security of the study area and provide necessary ecological functions. In this embodiment, the layout device takes several levels of ecological corridors in the ecological corridor area and several levels of ecological source sub-areas in the ecological source area as monitoring demand areas, and obtains several center points of the monitoring demand areas.

[0073] The layout equipment uses the center point and the ecological strategic point as base station sites. Specifically, the layout equipment uses the center point of the first-level ecological source service supply sub-area and the first-level ecological corridor as the first-level base station site, the center point of the second-level ecological source service supply sub-area and the second-level ecological corridor as the second-level base station site, and the center point of the third-level ecological source service supply sub-area and the third-level ecological corridor as the third-level base station site, so as to set corresponding monitoring tasks according to the distribution situation in the basic sites.

[0074] Taking into account that the basic sites may not be able to fully cover the area, the layout equipment uses the ecological strategic points as supplementary base station sites for the UAV monitoring network to serve as stepping stones, which is conducive to the healthy operation of the regional ecological network and affects the material and energy exchange and species migration in the region. Specifically, the layout equipment uses the strategic points of the first-level ecological corridor as the first-level base station sites, and the ecological strategic points of the second-level ecological corridor as the second-level base station sites.

[0075] The ecological corridor area is an important bridge and link connecting patches, which greatly affects the connectivity between patches and the exchange of species, nutrients and energy between patches. The layout equipment uses the ecological corridor area as a communication link. According to a number of base station target sites and communication links, multiple base station target sites are constructed. The drone base stations set at the base station target sites are integrated into a complete network structure through wireless communication links to construct the initial drone monitoring network and improve the monitoring efficiency of drone monitoring.

[0076] S56: constructing the topological structure of the initial UAV monitoring network; performing topological feature analysis and indestructibility feature analysis according to the topological structure of the initial UAV monitoring network to obtain topological feature data and indestructibility feature data.

[0077] In this embodiment, the layout device uses Gephi software to abstract the initial drone monitoring network into a non-directional network, uses the base station sites of the initial drone monitoring network as nodes, and the communication links as edges to construct the topological structure of the initial drone monitoring network.

[0078] Topology is a key factor affecting the connectivity and stability of the UAV monitoring network. Based on the node characteristics and link characteristics of the UAV topological structure, the layout device performs topological feature analysis and anti-destruction feature analysis according to the topological structure of the initial UAV monitoring network to obtain topological feature data and anti-destruction feature data, wherein the topological feature data reflects the importance of nodes in the monitoring network, and the anti-destruction feature data refers to the degree to which the UAV monitoring network maintains reconstruction or recovery capabilities when it suffers external interference or changes in its internal structure.

[0079] Specifically, the topological feature data includes degree index, close centrality index and betweenness centrality index; the degree index refers to the number of edges connected to the node. The larger the node degree, the more important the base station site corresponding to the node is in the UAV monitoring network. The close centrality index refers to the number of nodes directly connected to the node. The larger the degree, the more base stations connected to it, and the more important the node is. The betweenness centrality index reflects the degree of control of the node over other nodes. The higher the centrality, the stronger the control ability over other nodes.

[0080] UAV monitoring networks usually face two types of crises: random attacks and deliberate attacks. Random attacks refer to nodes (edges) in the network being randomly destroyed with a certain probability, such as extreme weather events; deliberate attacks refer to points (edges) in the network taking effect in a certain order from high to low importance, such as man-made attacks. In this embodiment, the layout device calculates the connectivity robustness index of the UAV monitoring network under two attack scenarios as the anti-destruction feature data to evaluate the network anti-destruction feature.

[0081] S57: Obtaining area data of several monitoring demand areas; deleting base station sites in the initial drone monitoring network according to the area data, topological feature data, anti-destruction feature data of several monitoring demand areas and a preset drone base station site selection model to obtain the drone monitoring network.

[0082] In this embodiment, the layout device obtains area data of several monitoring requirement areas; the layout device deletes base station sites in the initial drone monitoring network according to the area data, topological feature data, indestructibility feature data of several monitoring requirement areas and a preset drone base station site selection model to obtain the drone monitoring network.

[0083] See also Figure 7 , Figure 7 The schematic diagram of S57 in the process of the method for unmanned aerial vehicle monitoring network layout based on geospatial information provided by one embodiment of the present application includes steps S571-S572, which are specifically as follows: S571: Construct an objective function based on the objective function of maximizing the coverage of the monitoring demand area and the objective function of maximizing the network stability in the drone base station site selection model.

[0084] The objective function for maximizing the coverage rate of the monitoring demand area is:

[0085] In the formula, To monitor the maximum coverage value of the required area, are the number of primary base station sites, secondary base station sites, and tertiary base station sites, respectively. are the weight parameters of the first-level base station site, the second-level base station site, and the third-level base station site, respectively. For the i Base station site to the j Coverage area data of monitoring demand areas, For the i The decision variable of a base station site indicates whether the base station site is selected. For the j The area data of the monitoring demand area.

[0086] The network stability maximization objective function is:

[0087] In the formula, To monitor the maximum coverage value of the required area, Respectively i The degree index, closeness centrality index and betweenness centrality index of each base station site, are the weight parameters corresponding to the degree index, closeness centrality index, and betweenness centrality index respectively.

[0088] In this embodiment, the layout device constructs an objective function according to the objective function of maximizing the coverage of the monitoring demand area and the objective function of maximizing the network stability in the drone base station site selection model, wherein the objective function is:

[0089] In the formula, F is the objective function.

[0090] S572: Based on the area data, topological feature data, and anti-destruction feature data of the monitoring demand areas, as well as the monitoring demand area coverage constraint conditions, communication link constraint conditions, base station service radius constraint conditions, and attack scenario constraint conditions in the UAV base station site selection model, the objective function is solved, and a number of target sites are determined from the several base station sites. The other base station sites except the target sites in the initial UAV monitoring network are deleted to obtain the UAV monitoring network.

[0091] The monitoring requirement area coverage constraint condition is:

[0092] In the formula, For the j The minimum monitoring coverage rate of each monitoring demand area, To monitor the number of demand areas, S is the number of base station sites.

[0093] The communication link constraints are:

[0094] In the formula, For the i The base station site and k The length of the communication link between the base stations. The maximum length of the communication link.

[0095] The base station service radius constraint condition is:

[0096] In the formula, For the i The monitoring service radius of each base station site, The maximum radius for monitoring services.

[0097] The attack scenario constraints are:

[0098] In the formula, is the number of nodes in the maximum connected subgraph of the UAV monitoring network, n is the number of nodes in the initial UAV monitoring network, is the number of nodes attacked, C is the invulnerability threshold.

[0099] In this embodiment, the layout device solves the objective function based on the area data, topological feature data, and anti-destruction feature data of several monitoring demand areas, as well as the monitoring demand area coverage constraint conditions, communication link constraint conditions, base station service radius constraint conditions, and attack scenario constraint conditions in the UAV base station site selection model, determines several target sites from several base station sites, deletes other base station sites in the initial UAV monitoring network except the target sites, and obtains the UAV monitoring network.

[0100] Please refer to Figure 8 , Figure 8 A schematic diagram of a structure of a UAV monitoring network layout device based on geospatial information provided by an embodiment of the present application. The device can implement all or part of the UAV monitoring network layout device based on geospatial information through software, hardware, or a combination of both. The device 8 includes: The data acquisition module 81 is used to obtain the area to be laid out and the geospatial information data and ecosystem service supply data of the area to be laid out, wherein the geospatial information data includes land use data, digital elevation model data and normalized difference vegetation index data; The region identification module 82 is used to identify the ecological source region of the area to be laid out according to the land use data by using a morphological spatial pattern analysis method to obtain the ecological source region; The area construction module 83 is used to identify the ecosystem service supply area of ​​the area to be laid out according to the ecosystem service supply data to obtain the ecosystem service supply area; superimpose the ecological source area and the ecosystem service supply area to construct the ecological source service supply area; An ecological resistance surface construction module 84 is used to construct an ecological resistance surface of the ecological source service supply area according to the land use data, digital elevation model data and normalized vegetation index data; The drone monitoring network layout module 85 is used to construct ecological corridor areas and ecological strategic points based on the ecological source service supply area and the ecological resistance surface of the ecological source service supply area; and to construct a drone monitoring network based on the ecological source service supply area, the ecological corridor area and the ecological strategic points.

[0101] In an embodiment of the present application, a data acquisition module is used to obtain geographic spatial information data and ecosystem service supply data of the area to be laid out and the area to be laid out, wherein the geographic spatial information data includes land use data, digital elevation model data and normalized vegetation index data; a region identification module is used to identify the ecological source area of ​​the area to be laid out according to the land use data using a morphological spatial pattern analysis method to obtain the ecological source area; a region construction module is used to identify the ecosystem service supply area of ​​the area to be laid out according to the ecosystem service supply data to obtain the ecosystem service supply area; the ecological source area and the ecosystem service supply area are superimposed to construct an ecological source area. Source service supply area; through the ecological resistance surface construction module, the ecological resistance surface of the ecological source service supply area is constructed according to the land use data, digital elevation model data and normalized vegetation index data; through the drone monitoring network layout module, according to the ecological source service supply area and the ecological resistance surface of the ecological source service supply area, the ecological corridor area and the ecological strategic point are constructed; according to the ecological source service supply area, the ecological corridor area and the ecological strategic point, the initial drone monitoring network is constructed; through the drone monitoring network adjustment module, the drone monitoring network optimization model is constructed, and according to the drone monitoring network optimization model, the initial drone monitoring network is adjusted to obtain the target drone monitoring network. By constructing the ecological source service supply area and the ecological resistance surface of the ecological source service supply area, the ecological corridor area and the ecological strategic point are identified, and the drone monitoring network is constructed according to the ecological source service supply area, the ecological corridor area and the ecological strategic point, so as to form a unified and independent drone ecosystem monitoring system, realize the reasonable layout of drone networking, meet the monitoring needs for high frequency and real-time dynamics, and realize the precise matching of drone monitoring area coverage and monitoring needs.

[0102] Please refer to Fig. 9 , Fig. 9 The computer device 9 is a schematic diagram of a structure of a computer device provided in an embodiment of the present application. The computer device 9 includes: a processor 91, a memory 92, and a computer program 93 stored in the memory 92 and executable on the processor 91; the computer device may store a plurality of instructions, which are suitable for being loaded and executed by the processor 91 Figures 1 to 7 The method steps of the embodiment shown in the figure can be found in the specific implementation process. Figures 1 to 7 The specific description of the illustrated embodiment will not be repeated here.

[0103] Among them, the processor 91 may include one or more processing cores. The processor 91 uses various interfaces and lines to connect various parts in the server, and executes various functions and processes data of the drone monitoring network layout device 8 based on geographic spatial information by running or executing instructions, programs, code sets or instruction sets stored in the memory 92, and calling the data in the memory 92. Optionally, the processor 91 can be implemented in at least one hardware form of digital data processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), and programmable logic array (Programble Logic Array, PLA). The processor 91 can integrate one or more combinations of a central processing unit 91 (Central Processing Unit, CPU), an image processor 91 (Graphics Processing Unit, GPU) and a modem. Among them, the CPU mainly processes the operating system, user interface and application programs; the GPU is responsible for rendering and drawing the content to be displayed on the touch display screen; and the modem is used to process wireless communications. It can be understood that the above-mentioned modem may not be integrated into the processor 91, but implemented separately through a chip.

[0104] The memory 92 may include a random access memory 92 (RAM) or a read-only memory 92 (Read-Only Memory). Optionally, the memory 92 includes a non-transitory computer-readable storage medium. The memory 92 may be used to store instructions, programs, codes, code sets or instruction sets. The memory 92 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as touch instructions, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area may store data involved in the above-mentioned various method embodiments, etc. The memory 92 may also be optionally at least one storage device located away from the aforementioned processor 91.

[0105] The present application also provides a storage medium that can store multiple instructions, which are suitable for the processor to load and execute the above-mentioned Figures 1 to 7 For the specific steps and specific execution process of the embodiment shown in FIG. Figures 1 to 7 The specific description of the illustrated embodiment will not be repeated here.

[0106] The technicians in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated in a processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0107] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0108] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraint algorithm of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0109] In the embodiments provided by the present invention, it should be understood that the disclosed devices / terminal equipment and methods can be implemented in other ways. For example, the device / terminal equipment embodiments described above are only schematic. For example, the division of the modules or units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0110] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0111] In addition, in various embodiments of the present invention, each functional unit may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0112] If the integrated module / unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present invention implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the above-mentioned method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form, etc.

[0113] The present invention is not limited to the above-mentioned embodiments. If various changes or modifications to the present invention do not depart from the spirit and scope of the present invention, and if these changes and modifications fall within the scope of the claims and equivalent technologies of the present invention, the present invention is also intended to include these changes and modifications.

Claims

1. A method for deploying a drone monitoring network based on geospatial information, characterized in that: The following steps are involved: Obtaining the area to be laid out and the geospatial information data and ecosystem service supply data of the area to be laid out, wherein the geospatial information data includes land use data, digital elevation model data and normalized difference vegetation index data; Using a morphological spatial pattern analysis method, according to the land use data, the ecological source area of ​​the area to be laid out is identified to obtain the ecological source area; According to the ecosystem service supply data, the ecosystem service supply area of ​​the area to be laid out is identified to obtain the ecosystem service supply area; the ecological source area and the ecosystem service supply area are superimposed to construct the ecological source service supply area; Constructing an ecological resistance surface of the ecological source service supply area according to the land use data, digital elevation model data and normalized difference vegetation index data; According to the ecological source service supply area and the ecological resistance surface of the ecological source service supply area, ecological corridor areas and ecological strategic points are constructed; according to the ecological source service supply area, ecological corridor areas and ecological strategic points, a drone monitoring network is constructed.

2. The method for deploying a UAV monitoring network based on geographic spatial information according to claim 1, characterized in that: The method of using the morphological spatial pattern analysis method to identify the ecological source area of ​​the area to be laid out according to the land use data to obtain the ecological source area includes the following steps: Using the farmland, unused land and construction land data in the land use data as background data, and the forest, tidal flat and wetland data in the land use data as foreground data, identifying several candidate patch areas in the area to be laid out, and obtaining area data of several candidate patch areas; A minimum area threshold is determined, and a plurality of target patch areas are extracted from the plurality of candidate patch areas according to the area data of the plurality of candidate patch areas and the minimum area threshold, so as to construct the ecological source area.

3. The method for deploying a UAV monitoring network based on geographic spatial information according to claim 2, characterized in that: The ecosystem service supply data includes ecosystem service supply data of several ecosystem types, and the ecosystem service supply data of several ecosystem types includes habitat quality service supply data, carbon sequestration service supply data and soil conservation service supply data; The method of identifying the ecosystem service supply area of ​​the area to be laid out according to the ecosystem service supply data to obtain the ecosystem service supply area comprises the following steps: Divide the area to be laid out into grid units to obtain a plurality of grid units in the area to be laid out; calculate the ecosystem service comprehensive index according to a plurality of types of ecosystem service supply data of the plurality of grid units and corresponding weight parameters by using a method of overlapping ecosystem service comprehensive index layers, and obtain the ecosystem service comprehensive index of the plurality of grid units; According to the comprehensive ecosystem service index of the plurality of grid cells, the plurality of grid cells are graded by using the natural breakpoint method to obtain ecosystem service supply grade data of the plurality of grid cells, wherein the ecosystem service supply grade data includes a high supply grade, a medium supply grade and a light supply grade; Several grid cells with ecosystem service supply level data of high supply level, medium supply level and light supply level are taken as target grid cells, and several target grid cells with the same ecosystem service supply level data are combined to construct ecosystem service supply sub-areas of several levels to obtain the ecosystem service supply area.

4. The method for deploying a UAV monitoring network based on geographic space information according to claim 3, characterized in that: The step of constructing the ecological resistance surface of the ecological source service supply area according to the land use data, the digital elevation model data and the normalized difference vegetation index data comprises the following steps: According to the land use data, digital elevation model data and normalized difference vegetation index data, several types of ecological resistance factors and corresponding resistance values ​​of several grid cells in the ecological source service supply area are obtained; Using the principal component analysis method, according to the land use data, the digital elevation model data and the normalized difference vegetation index data, the weight parameters corresponding to the several different types of ecological resistance factors of the several grid cells in the ecological source service supply area are obtained; According to the resistance values ​​corresponding to several types of ecological resistance factors and the corresponding weight parameters, the ecological resistance data of several grid units are obtained to construct the ecological resistance surface of the ecological source service supply area.

5. The method for deploying a UAV monitoring network based on geographic space information according to claim 4, characterized in that: The ecological source service supply area includes several levels of ecological source service supply sub-areas; The step of constructing an ecological corridor area and an ecological strategic point according to the ecological source service supply area and the ecological resistance surface of the ecological source service supply area comprises the following steps: Adopting the minimum cost path method, according to the ecological resistance data of a plurality of grid units of a plurality of ecological source service supply sub-areas in the ecological source service supply area, obtaining the minimum cumulative resistance value between the plurality of ecological source service supply sub-areas; According to the minimum cumulative resistance value between the several ecological source service supply sub-areas and the preset resistance threshold, several combinations of ecological source service supply sub-areas are obtained, and according to the several combinations of ecological source service supply sub-areas, ecological corridors corresponding to the several ecological source service supply sub-areas are constructed; Constructing an interaction force matrix of an ecological source service supply region, and classifying ecological corridors corresponding to a combination of several ecological source service supply sub-regions according to the interaction force values ​​between the several ecological source service supply sub-regions in the interaction force matrix of the ecological source service supply region, obtaining several levels of ecological corridors, and constructing the ecological corridor region; By adopting a circuit simulation method, the ecological strategic points of the ecological corridors of several levels are identified according to the ecological resistance data of several grid units of the ecological corridors of several levels in the ecological corridor area, so as to obtain the ecological strategic points in the ecological corridor area.

6. The method for deploying a UAV monitoring network based on geographic space information according to claim 5, characterized in that: The initial UAV monitoring network is constructed according to the ecological source service supply area, ecological corridor area and ecological strategic point, including the following steps: Taking several levels of ecological corridors in the ecological corridor area and several levels of ecological source sub-areas in the ecological source area as monitoring demand areas, obtaining several center points of the monitoring demand areas; taking the center points and ecological strategic points as base station sites; taking the ecological corridor area as a communication link, and constructing an initial UAV monitoring network based on the base station sites and the communication links; Constructing the topological structure of the initial UAV monitoring network; performing topological feature analysis and indestructibility feature analysis according to the topological structure of the initial UAV monitoring network to obtain topological feature data and indestructibility feature data; Obtaining area data of several monitoring demand areas; deleting base station sites in the initial UAV monitoring network according to the area data, topological feature data, anti-destruction feature data of several monitoring demand areas and a preset UAV base station site selection model to obtain the UAV monitoring network.

7. The method for deploying a UAV monitoring network based on geographic space information according to claim 6, characterized in that: The method of deleting base station sites in the initial drone monitoring network according to the area data, topological feature data, invulnerability feature data of the plurality of monitoring demand areas and a preset drone base station site selection model to obtain the drone monitoring network comprises the following steps: Constructing an objective function based on the objective function of maximizing the coverage of the monitoring demand area and the objective function of maximizing the network stability in the UAV base station site selection model; According to the area data, topological feature data, and anti-destruction feature data of several monitoring demand areas, as well as the monitoring demand area coverage constraint conditions, communication link constraint conditions, base station service radius constraint conditions, and attack scenario constraint conditions in the UAV base station site selection model, the objective function is solved, and several target sites are determined from several base station sites. Other base station sites except the target sites in the initial UAV monitoring network are deleted to obtain the UAV monitoring network.

8. A UAV monitoring network layout device based on geographic space information, characterized in that: include: A data acquisition module, used to obtain the area to be laid out and the geospatial information data and ecosystem service supply data of the area to be laid out, wherein the geospatial information data includes land use data, digital elevation model data and normalized difference vegetation index data; A region identification module is used to identify the ecological source region of the area to be laid out according to the land use data by using a morphological spatial pattern analysis method to obtain the ecological source region; A region construction module is used to identify the ecosystem service supply region of the area to be laid out according to the ecosystem service supply data to obtain the ecosystem service supply region; superimpose the ecological source region and the ecosystem service supply region to construct the ecological source service supply region; An ecological resistance surface construction module is used to construct an ecological resistance surface of the ecological source service supply area according to the land use data, digital elevation model data and normalized vegetation index data; The drone monitoring network layout module is used to construct ecological corridor areas and ecological strategic points based on the ecological source service supply area and the ecological resistance surface of the ecological source service supply area; and to construct a drone monitoring network based on the ecological source service supply area, the ecological corridor area and the ecological strategic points.

9. A computer device, characterized in that: The method comprises a processor, a memory and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the steps of the method for unmanned aerial vehicle monitoring network layout based on geospatial information as described in any one of claims 1 to 7 are implemented.

10. A storage medium, characterized in that: The storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method for unmanned aerial vehicle monitoring network layout based on geospatial information as described in any one of claims 1 to 7 are implemented.

Images