UAV monitoring network layout method for coastal ecological monitoring

Abstract

The present invention relates to the field of ecological monitoring, and in particular to a method for arranging an unmanned aerial vehicle (UAV) monitoring network for coastal ecological monitoring. The method combines identified ecological source areas in the area to be laid out and the ecological resistance surface of the constructed ecological source areas to construct ecological corridor areas and ecological strategic points. Based on the ecological source areas, ecological corridor areas and ecological strategic points, a UAV monitoring network is constructed to form a unified and independent UAV ecosystem monitoring system, thereby achieving a reasonable layout of the UAV network, meeting the high-frequency, real-time dynamic monitoring needs for coastal ecological security, and achieving a precise match between the UAV monitoring area coverage and monitoring needs.

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 (UAV) monitoring network layout for coastal ecological monitoring. Background Art

[0002] With the intensification of human activities, coastal areas are facing ecological security challenges such as wetland disappearance, coastal erosion, and pollutant accumulation. To promptly detect and address the complexity and fragility of coastal ecosystems, an efficient and accurate monitoring system is needed.

[0003] Currently, traditional monitoring methods, such as ground inspections and satellite remote sensing, are limited in their ability to cover large areas and provide detailed monitoring. Ground-based monitoring is often time-consuming and labor-intensive, and its coverage is limited. While satellite remote sensing can cover large areas, it is limited by issues such as resolution, cloud cover, and revisit cycles, making it difficult to provide detailed and real-time monitoring data. Due to the rapid changes in the coastal ecological environment, traditional monitoring methods struggle to capture these changes frequently and dynamically. For example, phenomena such as coastal erosion and mangrove retreat require a high monitoring frequency for long-term tracking. Due to resource and technical limitations, traditional monitoring often struggles to efficiently monitor and dispatch multiple areas in a short period of time, especially in no-fly zones and areas with restricted communications. This makes it impossible to meet the high-frequency, real-time dynamic monitoring needs of coastal ecosystems. Summary of the Invention

[0004] Based on this, the purpose of the present invention is to provide a drone monitoring network layout method, device, computer equipment and storage medium for coastal ecological monitoring, and to construct ecological corridor areas and ecological strategic points in combination with the identified ecological source areas to be laid out and the ecological resistance surfaces of the constructed ecological source areas. According to the ecological source areas, ecological corridor areas and ecological strategic points, a drone monitoring network is constructed to form a unified and independent drone ecosystem monitoring system, thereby realizing a reasonable layout of drone networking, meeting the high-frequency, real-time dynamic monitoring needs for coastal ecological security, and realizing the 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 for coastal ecological monitoring, comprising the following steps:

[0006] Obtaining land use data of the area to be deployed and coastal land use data of the area to be deployed, as well as coastal ecological indicator data;

[0007] Using a morphological spatial pattern analysis method, based on the coastal land use data, potential ecological source areas are identified in the area to be laid out, thereby obtaining potential ecological source areas;

[0008] Based on the ecosystem service importance index data and ecological sensitivity index data in the coastal zone ecological data, the ecological source area of ​​the area to be laid out is identified and graded to obtain the ecological source graded area, and the potential ecological source area and the ecological source graded area are superimposed to construct the ecological source area, wherein the ecological source area includes several grades of ecological source sub-areas;

[0009] Constructing an ecological resistance surface for the ecological source area, wherein the ecological resistance surface reflects the state and trend of biological spatial movement, indicating the difficulty of species crossing different habitat patches;

[0010] According to the ecological source sub-areas of several levels in the ecological source area and the ecological resistance surface of the ecological source area, ecological corridor areas and ecological strategic points are constructed; according to the ecological source areas, ecological corridor areas and ecological strategic points, a drone monitoring network is constructed.

[0011] In a second aspect, an embodiment of the present application provides a UAV monitoring network layout device for coastal ecological monitoring, comprising:

[0012] A data acquisition module is used to obtain land use data of the area to be deployed and coastal land use data of the area to be deployed, as well as coastal ecological indicator data;

[0013] A region identification module is used to identify potential ecological source regions of the area to be laid out based on the coastal land use data using a morphological spatial pattern analysis method to obtain potential ecological source regions;

[0014] A regional construction module is used to identify and grade the ecological source areas of the area to be laid out based on the ecosystem service importance index data and ecological sensitivity index data in the coastal zone ecological data, obtain ecological source graded areas, superimpose the potential ecological source areas and the ecological source graded areas, and construct ecological source areas, wherein the ecological source areas include several grades of ecological source sub-areas;

[0015] An ecological resistance surface construction module is used to construct an ecological resistance surface of the ecological source area, wherein the ecological resistance surface reflects the state and trend of biological spatial movement and indicates the difficulty of species crossing different habitat patches;

[0016] The drone monitoring network layout module is used to construct the ecological resistance surface of the ecological source area, and to construct ecological corridor areas and ecological strategic points based on several levels of ecological source sub-areas in the ecological source area and the ecological resistance surface of the ecological source area; and to construct a drone monitoring network based on the ecological source area, ecological corridor area and ecological strategic points.

[0017] 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. When the processor executes the computer program, the steps of the method for arranging a drone monitoring network for coastal ecological monitoring as described in the first aspect are implemented.

[0018] In a fourth aspect, an embodiment of the present application provides a storage medium storing a computer program, which, when executed by a processor, implements the steps of the method for arranging a drone monitoring network for coastal ecological monitoring as described in the first aspect.

[0019] In an embodiment of the present application, a method, device, computer equipment and storage medium for the layout of a drone monitoring network for coastal ecological monitoring are provided. In combination with the identified ecological source area of ​​the area to be laid out and the ecological resistance surface of the constructed ecological source area, ecological corridor areas and ecological strategic points are constructed. According to the ecological source area, ecological corridor area and ecological strategic points, a drone monitoring network is constructed to form a unified and independent drone ecosystem monitoring system, thereby realizing a reasonable layout of drone networking, meeting the high-frequency, real-time dynamic monitoring needs for coastal ecological security, and achieving a precise match between drone monitoring area coverage and monitoring needs.

[0020] For better understanding and implementation, the present invention is described in detail below with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 A flowchart of a method for deploying a drone monitoring network for coastal ecological monitoring, provided as an embodiment of the present application;

[0022] Figure 2 A schematic diagram of S2 in the process of a method for deploying a drone monitoring network for coastal ecological monitoring provided in one embodiment of the present application;

[0023] Figure 3 A schematic diagram of S3 in the process of a method for deploying a drone monitoring network for coastal ecological monitoring provided in one embodiment of the present application;

[0024] Figure 4 A schematic diagram of S4 in the process of a method for deploying a drone monitoring network for coastal ecological monitoring provided in one embodiment of the present application;

[0025] Figure 5 A schematic diagram of S5 in the process of a method for deploying a drone monitoring network for coastal ecological monitoring provided by one embodiment of the present application;

[0026] Figure 6A schematic diagram of S5 in the process of a method for deploying a drone monitoring network for coastal ecological monitoring provided by one embodiment of the present application;

[0027] Figure 7 A schematic diagram of S55 in the process of a method for deploying a drone monitoring network for coastal ecological monitoring provided by one embodiment of the present application;

[0028] Figure 8 A schematic diagram of the structure of a UAV monitoring network layout device for coastal ecological monitoring provided in one embodiment of the present application;

[0029] Figure 9 A schematic diagram of the structure of a computer device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0030] Exemplary embodiments will be described in detail herein, with examples illustrated in the accompanying drawings. In the following description, when referring to the drawings, identical numerals in different figures represent identical or similar elements, unless otherwise indicated. The embodiments described in the following exemplary embodiments are not intended to represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.

[0031] The terms used in this application are for the purpose of describing specific embodiments only and are not intended to limit this application. As used in this application and the appended claims, the singular forms "a," "an," "the," and "the" are intended to include the plural forms, unless the context clearly indicates otherwise. It should also be understood that the term "and / or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.

[0032] It should be understood that although the terms first, second, third, etc. may be used in this application to describe various information, such information should not be limited to these terms. These terms are only used to distinguish information of the same type from each other. For example, without departing from the scope of this application, first information may also be referred to as second information, and similarly, second information may also be referred to as 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 a determination."

[0033] See also Figure 1 , Figure 1 A flowchart of a method for deploying a drone monitoring network for coastal ecological monitoring provided in one embodiment of the present application is provided. The method includes the following steps:

[0034] S1: Obtaining the area to be laid out and coastal land use data and coastal zone ecological indicator data of the area to be laid out.

[0035] The executor of the method for arranging a drone monitoring network for coastal ecological monitoring is a layout device for the method for arranging a drone monitoring network for coastal ecological monitoring (hereinafter referred to as the layout device). In an optional embodiment, the layout device can be a computer device, a server, or a server cluster composed of multiple computer devices.

[0036] In this embodiment, the layout device can obtain the area to be laid out and the coastal land use data and coastal zone ecological indicator data of the area to be laid out from a preset database.

[0037] The coastal land use data reflects the coastal landform characteristics and artificial land use information of the area to be planned, such as the unique landform characteristics of coastal areas such as tidal flats, mangrove wetlands and coral reefs formed due to the special natural conditions of the coast, and the conditions of cultivated land, aquaculture land or industrial production land formed by artificial reclamation operations in natural wetlands.

[0038] The coastal ecological indicator data include ecosystem service importance indicator data and ecological sensitivity indicator data, wherein the ecosystem service importance indicator data is indicator data output by ecosystem service importance assessment based on the InVEST (Integrated Valuation of Ecosystem Services and Trade-offs) ecosystem service and trade-offs comprehensive assessment model, the RUSLE (Revised Universal Soil Loss Equation) soil loss model, etc., and the ecological sensitivity indicator data reflects the sensitivity of the ecosystem to interference from natural and human activities in the region.

[0039] Specifically, the ecosystem service importance index data and ecological sensitivity index data include several types of index parameters, and the ecosystem service importance index data include index parameters of the types of biodiversity maintenance, wind and wave protection, water conservation, water purification, climate regulation, soil conservation and solid oxygen release.

[0040] The ecological sensitivity index data reflects the sensitivity of the ecosystem to interference from natural and human activities in the region, including indicator parameters such as land use type, transportation network, vegetation type, current sea use status, coastal erosion rate, coastal type, average annual number of storm surges, average annual number of red tides, elevation, landform type and nature reserve level.

[0041] Among them, 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. Specifically, the elevation data includes slope and slope length factors.

[0042] Land use data are data and information that reflect the status, characteristics, dynamic changes, and distribution features of the land use system and land use elements, as well as human development and utilization, governance, transformation, management, protection, and land use planning of land.

[0043] The soil data reflects the content of sand, silt, clay, organic carbon, and root restriction depth data. Specifically, the soil data includes soil erodibility factors and soil and water conservation measures factors.

[0044] Meteorological data reflects rainfall data, sunshine data, temperature data, etc. Specifically, the meteorological data includes precipitation corrosivity factors.

[0045] Nighttime light data is a type of remote sensing data. Satellite sensors can detect information such as lights and fires on Earth at night, which can be used as a good indicator of human activities. Specifically, the nighttime light data includes nighttime light intensity parameters.

[0046] The socioeconomic data, which reflect the regional GDP, population density, energy consumption, etc., are mainly obtained from the statistical yearbooks of each administrative unit within the study area.

[0047] S2: Using the morphological spatial pattern analysis method, based on the coastal land use data, potential ecological source areas are identified for the area to be laid out, and potential ecological source areas are obtained.

[0048] In this embodiment, the layout device adopts a morphological spatial pattern analysis method to identify potential ecological source areas of the area to be laid out based on the coastal land use data to obtain potential ecological source areas.

[0049] See also Figure 2 , Figure 2 A schematic diagram of S2 in the process of a method for deploying a drone monitoring network for coastal ecological monitoring provided in one embodiment of the present application includes steps S21 to S22, which are specifically as follows:

[0050] S21: Using the cultivated land, aquaculture pond and construction land data in the coastal land use data as background data, and the natural ecological element data of mangroves, mudflats, coral reefs and seagrass beds in the coastal 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.

[0051] In this embodiment, the layout device is based on Guidos software, and uses the cultivated land, aquaculture pond and construction land data in the coastal land use data as background data, and the mangrove, mudflat, coral reef and seagrass bed natural ecological element data in the coastal land use data as foreground data. The eight-field analysis method is used 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 isolated island patch areas.

[0052] The layout device uses the core area patch region as a candidate patch region to represent a potential ecological source, and obtains area data of several candidate patch regions.

[0053] 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 potential ecological source area.

[0054] Since the supply capacity of the smaller core patch areas is limited, in this embodiment, the layout device obtains the minimum ratio corresponding to the candidate area thresholds based on the area data of the candidate patch areas, the preset candidate area thresholds, and the area threshold minimum ratio calculation algorithm, and uses the candidate area threshold with the smallest minimum ratio as the minimum area threshold to determine the minimum area threshold. The area threshold minimum ratio calculation algorithm is as follows:

[0055]

[0056] Where, 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.

[0057] 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 several candidate patch areas to construct the ecological source area.

[0058] S3: Based on the ecosystem service importance index data and ecological sensitivity index data in the coastal ecological data, the ecological source areas of the area to be laid out are identified and graded to obtain ecological source classification areas. The potential ecological source areas and ecological source classification areas are superimposed to construct ecological source areas.

[0059] In this embodiment, the layout device identifies and grades the ecological source areas of the area to be laid out based on the ecosystem service importance index data and the ecological sensitivity index data in the coastal ecological data, obtains ecological source graded areas, superimposes the potential ecological source areas and the ecological source graded areas, and constructs ecological source areas, wherein the ecological source areas include several levels of ecological source sub-areas.

[0060] The area to be laid out includes a plurality of grid units, and the layout device divides the area to be laid out into grid units to obtain the plurality of grid units of the area to be laid out. Figure 3 , Figure 3 A schematic diagram of S3 in the process of a method for deploying a drone monitoring network for coastal ecological monitoring provided in one embodiment of the present application includes steps S31 to S33, as follows:

[0061] S31: Using the principal component analysis method, weight classification is performed on several indicator parameters in the ecosystem service importance index data and the ecological sensitivity index data, and corresponding weight parameters of the several indicator parameters in the ecosystem service importance index data and the ecological sensitivity index data are obtained.

[0062] In this embodiment, the layout device adopts the principal component analysis method to weight and classify several indicator parameters in the ecosystem service importance index data and the ecological sensitivity index data, and obtain the corresponding weight parameters of several indicator parameters in the ecosystem service importance index data and the ecological sensitivity index data.

[0063] Specifically, the layout device uses the spatial principal component analysis tool in the ArcGIS software to calculate the eigenvalues, contribution rates and load matrices of each principal component of the ecosystem service importance index data and the ecological sensitivity index data, so as to achieve weight grading of several indicator parameters in the ecosystem service importance index data and the ecological sensitivity index data, and obtain the corresponding weight parameters of several indicator parameters in the ecosystem service importance index data and the ecological sensitivity index data.

[0064] S32: Perform weighted superposition based on the ecosystem service importance index data, several indicator parameters in the ecological sensitivity index data and the corresponding weight parameters of the indicator parameters to obtain the ecosystem service importance assessment index and ecological sensitivity assessment index of several grid units, and perform equal-weighted superposition of the ecosystem service importance assessment index and ecological sensitivity assessment index of the same grid unit to obtain the comprehensive ecological source assessment index of several grid units in the potential ecological source area.

[0065] In this embodiment, the layout device performs weighted superposition according to the ecosystem service importance index data, several indicator parameters in the ecological sensitivity index data and the corresponding weight parameters of the indicator parameters to obtain the ecosystem service importance assessment index and the ecological sensitivity assessment index of several grid units, and performs equal weighted superposition of the ecosystem service importance assessment index and the ecological sensitivity assessment index of the same grid unit to obtain the comprehensive ecological source assessment index of several grid units in the potential ecological source area.

[0066] S33: Based on the comprehensive evaluation index of the ecological source areas of the plurality of grid units, the natural breakpoint method is used to grade the plurality of grid units to obtain ecological source grade data of the plurality of grid units; based on the ecological source grade data, ecological source patch areas of several grades are constructed to obtain the ecological source graded areas.

[0067] In this embodiment, the layout device classifies several of the grid cells according to the comprehensive evaluation index of the ecological sources of the several grid cells using the natural breakpoint method to obtain ecological source level data of the several grid cells, wherein the ecological source level data includes high, medium, low and lower levels.

[0068] The layout device constructs several levels of ecological source patch areas based on the ecological source level data to obtain the ecological source graded areas. Specifically, the layout device combines several grid cells with high and medium ecological source level data as first target grid cells to construct several first-level ecological source patch areas to indicate that the ecological source patch areas are primary ecological source areas; the layout device combines several grid cells with low and lower levels as second target grid cells to construct several second-level ecological source patch areas to indicate that the ecological source patch areas are secondary ecological source areas to obtain the ecological source graded areas.

[0069] S4: Construct an ecological resistance surface for the ecological source area.

[0070] In this embodiment, the layout device constructs an ecological resistance surface of the ecological source area. The ecological resistance surface reflects the state and trend of biological spatial movement and indicates the difficulty of species crossing different habitat patches.

[0071] See also Figure 4 , Figure 4 A schematic diagram of S4 in the process of a method for deploying a drone monitoring network for coastal ecological monitoring provided in one embodiment of the present application includes steps S41 to S42, which are specifically as follows:

[0072] S41: Obtain ecological resistance factor data of a plurality of grids in the ecological source area.

[0073] In this embodiment, the layout device obtains ecological resistance factor data of several grids in the ecological source area, wherein the ecological resistance factor data includes several types of ecological resistance factors and corresponding resistance values.

[0074] Specifically, the types of ecological resistance factors include land use type, elevation, distance from roads, distance from water systems corresponding to land space, and marine functional zones and distance types from islands corresponding to ocean space. The layout equipment assigns resistance values ​​to each resistance factor based on the level of obstruction to species migration, and obtains several types of ecological resistance factors and corresponding resistance values.

[0075] S42: According to the resistance values ​​and corresponding weight parameters corresponding to the several types of ecological resistance factors of the several grids in the ecological source area, the ecological resistance data of the several grids in the ecological source area are obtained, and the ecological resistance surface of the ecological source area is constructed.

[0076] In order to eliminate the interference of multicollinearity between factors, in this embodiment, the layout device uses the spatial principal component analysis tool in ArcGIS software to define the weights of the ecological resistance factors, and obtains the weight parameters corresponding to several types of ecological resistance factors of several grids in the ecological source area by calculating the eigenvalues, contribution rates and load matrices of each principal component.

[0077] The layout device obtains ecological resistance data of several grids in the ecological source area according to the resistance values ​​corresponding to the several types of ecological resistance factors of the several grids in the ecological source area and the corresponding weight parameters, and constructs the ecological resistance surface of the ecological source area using a weighted overlay tool, wherein the ecological resistance data is:

[0078]

[0079] Where 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.

[0080] S5: Construct ecological corridor areas and ecological strategic points based on several levels of ecological source sub-areas in the ecological source area and the ecological resistance surface of the ecological source area; construct a drone monitoring network based on the ecological source area, ecological corridor area and ecological strategic points.

[0081] In this embodiment, the layout device constructs ecological corridor areas and ecological strategic points based on several levels of ecological source sub-areas in the ecological source area and the ecological resistance surface of the ecological source area.

[0082] See also Figure 5 , Figure 5 A schematic diagram of S5 in the process of a method for deploying a drone monitoring network for coastal ecological monitoring provided in one embodiment of the present application includes steps S51 to S53, which are specifically as follows:

[0083] S51: Using the minimum cost path method, according to the ecological resistance data of several grid cells of several levels of ecological source sub-regions, the minimum cumulative resistance value between the several levels of ecological source sub-regions is obtained.

[0084] In this embodiment, the layout device adopts the minimum cost path method to obtain the minimum cumulative resistance value between the ecological source sub-regions of several levels based on the ecological resistance data of several grid cells of the ecological source sub-regions of several levels.

[0085] 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 the ecological source sub-regions of several levels based on the ecological resistance data of several grid cells of the ecological source sub-regions of several levels.

[0086] S52: According to the minimum cumulative resistance value between several levels of ecological source sub-areas and a preset resistance threshold, several ecological source sub-area combinations are obtained. According to the several ecological source sub-area combinations, ecological corridors corresponding to the several ecological source sub-area combinations are obtained to construct the ecological corridor area.

[0087] In this embodiment, the layout device obtains several combinations of ecological source sub-areas according to the minimum cumulative resistance value between several levels of ecological source sub-areas and a preset resistance threshold.

[0088] Specifically, if the minimum cumulative resistance value is less than or equal to the resistance threshold, the layout device obtains several ecological source sub-area combinations, wherein the ecological source sub-area combinations include a combination between a first-level ecological source sub-area and a first-level ecological source sub-area, a combination between a first-level ecological source sub-area and a second-level ecological source sub-area, and a combination between a second-level ecological source sub-area and a second-level ecological source sub-area.

[0089] The layout device obtains the ecological corridors corresponding to the several combinations of ecological source sub-areas based on the several combinations of ecological source sub-areas, and constructs 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.

[0090] Specifically, the layout device obtains the ecological corridors and ecological corridor levels corresponding to several of the ecological source sub-area combinations and the preset ecological source sub-area combination and ecological corridor level correspondence table, and constructs the ecological corridor area. Among them, the combination between the first-level ecological source sub-area and the first-level ecological source sub-area corresponds to the first-level ecological corridor; the combination between the first-level ecological source sub-area and the second-level ecological source sub-area corresponds to the first-level ecological corridor; the combination between the second-level ecological source sub-area and the second-level ecological source sub-area corresponds to the second-level ecological corridor.

[0091] S53: using a circuit simulation method, based on the ecological resistance data of the plurality of grid units of the plurality of ecological corridors in the ecological corridor area, identifying a plurality of ecological strategic points of the ecological corridors, and obtaining the ecological strategic points in the ecological corridor area.

[0092] In this embodiment, the layout device adopts a circuit simulation method to identify several ecological strategic points of the ecological corridors based on the ecological resistance data of several grid units of the ecological corridors in the ecological corridor area, and obtain the ecological strategic points in the ecological corridor area.

[0093] Specifically, the layout device calls Circuitscape through the Linkage Mapper tool to identify the ecosystem service strategic points during the model calculation process, and uses the ecological source sub-areas in the ecological source sub-area combination corresponding to the ecological corridor as circuit power supplies and circuit terminals respectively. If the ecological source sub-areas in the ecological source sub-areas have the same levels, any one ecological source sub-area is taken as the circuit power supply and the other ecological source sub-area is taken as the circuit terminal. If the ecological source sub-areas in the ecological source sub-areas have different levels, the ecological source sub-area with a relatively high level is taken as the circuit power supply and the ecological source sub-area with a relatively low level; the ecological resistance data of several grid units in the corresponding ecological corridor are used as conductive surfaces, and the flow of current in the ecological corridor is simulated, the current intensity in the ecological corridor is analyzed, and the ecological strategic points in the corresponding ecological corridor are identified. The ecological strategic points in the ecological corridor area are obtained, and the current value is used to quantify the importance of the ecological corridor area and the ecological strategic points in maintaining the landscape connectivity of the entire region. 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.

[0094] By comprehensively considering the loss of ecosystem service flow direction and flow caused by transmission resistance, the regional ecological resistance surface is accurately assessed, and 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 sources, and providing scientific decision-making support for urban development and ecosystem management.

[0095] The layout equipment constructs a drone monitoring network based on the ecological source areas, ecological corridor areas and ecological strategic points. Combined with the identified ecological source areas of the areas to be laid out and the ecological resistance surfaces of the constructed ecological source areas, the ecological corridor areas and ecological strategic points are constructed. According to the ecological source areas, ecological corridor areas and ecological strategic points, a drone monitoring network is constructed to form a unified and independent drone ecosystem monitoring system, realizing the reasonable layout of drone networking, meeting the high-frequency, real-time dynamic monitoring needs for coastal ecological security, and achieving accurate matching of drone monitoring area coverage and monitoring needs.

[0096] See also Figure 6 , Figure 6 The schematic diagram of S5 in the process of the method for deploying a drone monitoring network for coastal ecological monitoring provided in one embodiment of the present application includes steps S54 to S56, which are specifically as follows:

[0097] S54: Take 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 obtain several center points of the monitoring demand areas; take the center points and ecological strategic points as base station sites.

[0098] Ecological sources refer to areas within an ecosystem that play a key role in maintaining regional ecological balance and biodiversity. In this embodiment, the layout device uses several levels of ecological corridors within the ecological corridor area and several levels of ecological source sub-areas within the ecological source area as monitoring demand areas, obtains several center points of these monitoring demand areas, and uses these center points and ecological strategic points as base station sites.

[0099] The layout equipment uses the center points and ecological strategic points as base station sites. Specifically, the layout equipment uses the center points of the first-level ecological source sub-area and the first-level ecological corridor as the first-level base station sites, and the center points of the second-level ecological source sub-area and the second-level ecological corridor as the second-level base station sites, so as to set corresponding monitoring tasks according to the ecological balance and biodiversity of the coastal zone in the basic sites.

[0100] Considering that basic stations may not fully cover the entire area, the layout equipment uses these ecological strategic points as supplementary base stations for the drone monitoring network. These serve as stepping stones, contributing to the healthy operation of the regional ecological network and influencing the exchange of matter, energy, and species migration within the region. Specifically, the layout equipment uses the strategic points of the primary ecological corridor as primary base stations, and the ecological strategic points of the secondary ecological corridor as secondary base stations.

[0101] S55: Obtain the area data of several monitoring demand areas, the construction cost data of several base station sites, and the water level increase extreme value data; determine several base station target sites from the several base station sites based on the area data of several monitoring demand areas, the construction cost data of several base station sites, the water level increase extreme value data, and the preset drone base station site selection model.

[0102] In this embodiment, the layout device obtains area data of several of the monitoring demand areas, construction cost data of several of the base station sites, and water level increase extreme value data, wherein the construction cost data is obtained by equal-weighted superposition of the elevation value, slope value, land use type value, and restricted flight zone value of the current base station site; the water level increase extreme value data represents the extreme water increase value of the corresponding base station site when the monitoring demand area where it is located is subjected to a storm surge.

[0103] The layout equipment determines several base station target sites from several base station sites based on the area data of several monitoring demand areas, the construction cost data of several base station sites, the water level increase extreme value data and the preset drone base station site selection model, and starts from the needs of maximizing the area of ​​the monitoring demand area, maximizing efficiency, minimizing construction costs and minimizing the degree of disaster, so as to meet the sudden, dynamic and land-sea coordinated coastal ecological security monitoring needs and improve the timeliness and efficiency of coastal ecological security monitoring.

[0104] See also Figure 7 , Figure 7 A schematic diagram of S55 in the process of a method for deploying a drone monitoring network for coastal ecological monitoring provided in one embodiment of the present application includes steps S551 to S552, which are specifically as follows:

[0105] S551: Construct an objective function based on the objective function of maximizing the coverage of the monitoring demand area, the objective function of minimizing the construction cost of the drone base station, and the minimization of the disaster extent in the drone base station site selection model.

[0106] The objective function for maximizing the coverage rate of the monitoring demand area is:

[0107]

[0108] Where, To maximize the coverage of the monitoring demand area, are the number of primary base station sites and secondary base station sites respectively, are the weight parameters of the first-level base station site and the second-level base station site, For the i Base station site pair 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.

[0109] The objective function for minimizing the construction cost of the drone base station is:

[0110]

[0111] Where, For the i The construction cost data of each base station site, S is the total number of base station sites.

[0112] The extent of damage is minimized to:

[0113]

[0114] Where, For the i The water level increase extreme value data of each base station site.

[0115] In this embodiment, the layout device adds the monitoring demand area coverage maximization objective function, the drone base station construction cost minimization objective function, and the disaster degree minimization objective function according to the monitoring demand area coverage maximization objective function and the network stability maximization objective function in the drone base station site selection model to construct an objective function.

[0116] S552: Based on the area data of several monitoring demand areas, the construction cost data of several base station sites, the water level increase extreme value data, and the monitoring demand area coverage constraint conditions, monitoring demand area coverage overlap constraint conditions, drone base station construction cost constraint conditions, and disaster degree constraint conditions in the drone base station site selection model, the objective function is solved to determine several base station target sites from the several base station sites.

[0117] In this embodiment, the layout device solves the objective function based on the area data of the plurality of monitoring demand areas, the construction cost data of the plurality of base station sites, the water level increase extreme value data, and the monitoring demand area coverage constraint, the monitoring demand area coverage overlap constraint, the drone base station construction cost constraint, and the disaster degree constraint in the drone base station site selection model, and determines a plurality of base station target sites from the plurality of base station sites, wherein the monitoring demand area coverage constraint is:

[0118]

[0119] Where, For the j The minimum monitoring coverage rate of each monitoring demand area, The number of monitoring demand areas.

[0120] The monitoring requirement area coverage overlap constraint condition is:

[0121]

[0122] Where, For the j The monitoring demand area and the adjacent k Coverage overlap data between monitoring demand areas, The maximum coverage overlap area data.

[0123] The cost constraints for the construction of the UAV base station are:

[0124]

[0125] Where, B The maximum construction cost data.

[0126] The constraints on the degree of damage are:

[0127]

[0128] Where, M Add a threshold value for the water level.

[0129] S56: Using the ecological corridor area as a communication link, constructing the drone monitoring network based on a plurality of base station target sites and communication links.

[0130] Ecological corridors are important bridges and links connecting patches, which greatly affect the connectivity between patches and the exchange of species, nutrients and energy between patches.

[0131] In this embodiment, the layout device uses the ecological corridor area as a communication link, and according to a number of the base station target sites and the communication links, integrates the drone base stations set at the base station target sites into a complete network structure through wireless communication links to construct the drone monitoring network and improve the monitoring efficiency of drone monitoring.

[0132] Please refer to Figure 8 , Figure 8 This is a schematic diagram of the structure of a UAV monitoring network layout device for coastal ecological monitoring provided by one embodiment of the present application. The device can implement all or part of the UAV monitoring network layout device for coastal ecological monitoring through software, hardware, or a combination of both. The device 8 includes:

[0133] The data acquisition module 81 is used to obtain the area to be deployed and the coastal landform data of the area to be deployed, as well as the coastal zone ecological indicator data;

[0134] The region identification module 82 is configured to identify potential ecological source regions of the area to be laid out based on the coastal landform data using a morphological spatial pattern analysis method to obtain potential ecological source regions;

[0135] The regional construction module 83 is configured to identify and grade the ecological source regions of the area to be laid out based on the ecosystem service importance index data and the ecological sensitivity index data in the coastal zone ecological data, obtain graded ecological source regions, and superimpose the potential ecological source regions and graded ecological source regions to construct ecological source regions, wherein the ecological source regions include several grades of ecological source sub-regions;

[0136] An ecological resistance surface construction module 84 is used to construct an ecological resistance surface of the ecological source area, wherein the ecological resistance surface reflects the state and trend of biological spatial movement and indicates the difficulty of species crossing different habitat patches;

[0137] The drone monitoring network layout module 85 is used to construct the ecological resistance surface of the ecological source area, and to construct ecological corridor areas and ecological strategic points based on several levels of ecological source sub-areas in the ecological source area and the ecological resistance surface of the ecological source area; and to construct a drone monitoring network based on the ecological source area, ecological corridor area and ecological strategic points.

[0138] In the embodiment of the present application, the data acquisition module is used to obtain the coastal landform data and coastal ecological index data of the area to be laid out and the area to be laid out; the morphological spatial pattern analysis method is used to identify the potential ecological source area of ​​the area to be laid out according to the coastal landform data, and obtain the potential ecological source area; the area construction module is used to identify and grade the ecological source area of ​​the area to be laid out according to the ecosystem service importance index data and ecological sensitivity index data in the coastal ecological data, and obtain the ecological source classification area, and the potential ecological source area and the ecological source are classified into the following categories: The hierarchical regions are superimposed to construct ecological source regions, where the ecological source regions include several levels of ecological source sub-regions. The ecological resistance surface construction module constructs the ecological resistance surface of the ecological source regions. The ecological resistance surface reflects the spatial movement status and trends of organisms and indicates the difficulty of species traversing different habitat patches. The drone monitoring network layout module constructs ecological corridor regions and ecological strategic points based on the several levels of ecological source sub-regions in the ecological source regions and the ecological resistance surface of the ecological source regions. A drone monitoring network is constructed based on the ecological source regions, ecological corridor regions, and ecological strategic points. Combining the identified ecological source regions in the planned areas with the constructed ecological resistance surfaces of the ecological source regions, ecological corridor regions and ecological strategic points are constructed. A drone monitoring network is constructed based on the ecological source regions, ecological corridor regions, and ecological strategic points to form a unified and independent drone ecosystem monitoring system. This achieves a rational layout of drone networks, meets the high-frequency, real-time dynamic monitoring needs of coastal ecological security, and accurately matches drone monitoring area coverage with monitoring needs.

[0139] Please refer to Figure 9 , Figure 9This is a schematic diagram of the structure of a computer device provided in one 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 multiple instructions, which are suitable for being loaded and executed by the processor 91. Figures 1 to 7 The method steps of the embodiment shown, the specific execution process can be found in Figures 1 to 7 The detailed description of the illustrated embodiment will not be repeated here.

[0140] The processor 91 may include one or more processing cores. Using various interfaces and lines to connect to various components within the server, the processor 91 executes the various functions of the coastal zone ecological monitoring drone network layout device 8 and processes data by running or executing instructions, programs, code sets, or instruction sets stored in the memory 92 and accessing data from the memory 92. Optionally, the processor 91 may be implemented in hardware using at least one of a digital signal processing (DSP), a field-programmable gate array (FPGA), or a programmable logic array (PLA). The processor 91 may integrate one or a combination of a central processing unit (CPU), a graphics processing unit (GPU), and a modem. The CPU primarily processes the operating system, user interface, and application programs; the GPU is responsible for rendering and drawing content displayed on the touch screen; and the modem handles wireless communications. It is understood that the modem may also be implemented as a separate chip, rather than integrated into the processor 91.

[0141] The memory 92 may include random access memory (RAM) or read-only memory (ROM). Optionally, the memory 92 includes 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. The program storage area may store instructions for implementing an operating system, instructions for at least one function (such as touch control instructions), instructions for implementing the aforementioned method embodiments, and the data storage area may store data related to the aforementioned method embodiments. The memory 92 may also optionally be at least one storage device located remotely from the aforementioned processor 91.

[0142] The embodiment of the present application also provides a storage medium, which can store multiple instructions, which are suitable for the processor to load and execute the above Figures 1 to 7 For the specific steps and execution process of the embodiment shown, please refer to Figures 1 to 7 The detailed description of the illustrated embodiment will not be repeated here.

[0143] Those skilled in the art can clearly understand that, for the convenience and brevity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In actual applications, the above-mentioned functions can be distributed and 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 into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into 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, and will not be repeated here.

[0144] In the above embodiments, the description of each embodiment has its own focus. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant description of other embodiments.

[0145] 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. Professionals and technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present invention.

[0146] 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. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. 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.

[0147] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0148] In addition, in various embodiments of the present invention, each functional unit may be integrated into a single processing unit, each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0149] 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 process of 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. When the computer program is executed by a processor, it can implement the steps of the above-mentioned various method embodiments. The computer program includes computer program code, which can be in source code form, object code form, executable file or some intermediate form.

[0150] The present invention is not limited to the above-mentioned embodiments. If various changes or modifications of 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 of the present invention and equivalent technologies, the present invention is also intended to include these changes and modifications.

Claims

1. A method for deploying a UAV monitoring network for coastal ecological monitoring, characterized in that: The following steps are involved: Obtaining coastal land use data and coastal ecological indicator data for the area to be laid out and the area to be laid out, wherein the area to be laid out includes a plurality of grid cells; the coastal ecological indicator data includes ecosystem service importance indicator data and ecological sensitivity indicator data; the ecological sensitivity indicator data reflects the sensitivity of the ecosystem to interference from natural and human activities in the area, including indicator parameters for land use type, transportation network, vegetation type, current sea use status, coastal erosion rate, coast type, average annual number of storm surges, average annual number of red tides, elevation, landform type, and nature reserve grade type; the ecosystem service importance indicator parameter data and ecological sensitivity indicator parameter data both include indicator parameters of several types; Using a morphological spatial pattern analysis method, based on the coastal land use data, potential ecological source areas are identified in the area to be laid out, thereby obtaining potential ecological source areas; Using the principal component analysis method, weight classification is performed on several types of indicator parameters in the ecosystem service importance index data and the ecological sensitivity index data, and corresponding weight parameters of several types of indicator parameters in the ecosystem service importance index data and the ecological sensitivity index data are obtained; Perform weighted superposition based on the indicator parameters of several types in the ecosystem service importance index data and the ecological sensitivity index data and the corresponding weight parameters of the indicator parameters to obtain the ecosystem service importance assessment index and the ecological sensitivity assessment index of several grid units; perform equal weighted superposition on the ecosystem service importance assessment index and the ecological sensitivity assessment index of the same grid unit to obtain the ecological source comprehensive assessment index of several grid units in the potential ecological source area; Based on the comprehensive ecological source assessment index of the plurality of grid units, the natural breakpoint method is used to classify the plurality of grid units to obtain ecological source grade data of the plurality of grid units; based on the ecological source grade data, a plurality of grades of ecological source patch areas are constructed to obtain ecological source graded areas; the potential ecological source areas and the ecological source graded areas are superimposed to construct ecological source areas, wherein the ecological source areas include a plurality of grades of ecological source sub-areas; Obtaining ecological resistance factor data for a plurality of grids in the ecological source area, wherein the ecological resistance factor data includes several types of ecological resistance factors and corresponding resistance values; the types of ecological resistance factors include land use type, elevation, distance to roads, and distance to water systems corresponding to land space, and marine functional zones and distance to islands corresponding to marine space; According to the resistance values ​​and weight parameters corresponding to the ecological resistance factors of the plurality of grids in the ecological source area, the ecological resistance data of the plurality of grids in the ecological source area are obtained, and the ecological resistance surface of the ecological source area is constructed, wherein the ecological resistance surface reflects the state and trend of biological spatial movement and indicates the difficulty of species crossing different habitat patches; According to the ecological source sub-regions of several levels in the ecological source region and the ecological resistance surface of the ecological source region, an ecological corridor region and an ecological strategic point are constructed, wherein the ecological corridor region includes ecological corridors of several levels; 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; Obtain area data of several monitoring demand areas, construction cost data of several base station sites, and water level increase extreme value data; construct an objective function based on the area data of several monitoring demand areas, the construction cost data of several base station sites, the water level increase extreme value data, and the monitoring demand area coverage maximization objective function, the drone base station construction cost minimization objective function, and the disaster degree minimization objective function in the preset drone base station site selection model, wherein the water level increase extreme value data represents the water increase extreme value of the corresponding base station site when the monitoring demand area where it is located is subjected to a storm surge; the monitoring demand area coverage maximization objective function is: Where, To maximize the coverage of the monitoring demand area, are the number of primary base station sites and secondary base station sites respectively, are the weight parameters of the first-level base station site and the second-level base station site, For the i Base station site pair 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 Area data of monitoring demand areas; The objective function for minimizing the construction cost of the drone base station is: Where, For the i The construction cost data of each base station site, S is the total number of base station sites; The minimum damage degree is: Where, For the i The water level increase extreme value data of each base station; Solve the objective function based on the area data of the plurality of monitoring demand areas, the construction cost data of the plurality of base station sites, the water level increase extreme value data, and the monitoring demand area coverage constraint, the monitoring demand area coverage overlap constraint, the drone base station construction cost constraint, and the disaster degree constraint in the drone base station site selection model, and determine a plurality of base station target sites from the plurality of base station sites; The ecological corridor area is used as a communication link, and a drone monitoring network is constructed based on a number of base station target sites and communication links.

2. The method for deploying a UAV monitoring network for coastal ecological monitoring according to claim 1, characterized in that: The method adopts a morphological spatial pattern analysis method to identify potential ecological source areas in the area to be laid out based on the coastal land use data to obtain potential ecological source areas, including the following steps: Using the cultivated land, aquaculture pond and construction land data in the coastal land use data as background data, and the natural ecological element data of mangroves, mudflats, coral reefs and seagrass beds in the coastal land use data as foreground data, several candidate patch areas of the area to be laid out are identified, and area data of the several candidate patch areas are obtained; A minimum area threshold is determined, and based on the area data of the candidate patch areas and the minimum area threshold, a plurality of target patch areas are extracted from the candidate patch areas to construct the potential ecological source area.

3. The method for deploying a UAV monitoring network for coastal ecological monitoring according to claim 2, characterized in that: The method of constructing ecological corridor areas and ecological strategic points based on several levels of ecological source sub-areas in the ecological source area and the ecological resistance surface of the ecological source area includes the following steps: The minimum cost path method is used to obtain the minimum cumulative resistance value between several levels of ecological source sub-regions based on the ecological resistance data of several grid cells of several levels of ecological source sub-regions. According to the minimum cumulative resistance value between the ecological source sub-regions of several levels and the preset resistance threshold, several ecological source sub-region combinations are obtained, and according to the several ecological source sub-region combinations, ecological corridors corresponding to the several ecological source sub-region combinations are obtained to construct the ecological corridor area; A circuit simulation method is adopted to identify several ecological strategic points of the ecological corridors according to the ecological resistance data of several grid units of several ecological corridors in the ecological corridor area, so as to obtain the ecological strategic points in the ecological corridor area.

4. A UAV monitoring network layout device for coastal ecological monitoring, characterized in that: include: a data acquisition module for obtaining coastal land use data and coastal ecological indicator data for the area to be laid out and the area to be laid out, wherein the area to be laid out includes a plurality of grid cells; the coastal ecological indicator data include ecosystem service importance index data and ecological sensitivity index data; the ecological sensitivity index data reflects the sensitivity of the ecosystem to interference from natural and human activities in the area, including indicator parameters for land use type, transportation network, vegetation type, current sea use status, coastal erosion rate, coast type, average annual number of storm surges, average annual number of red tides, elevation, landform type, and nature reserve grade type; the ecosystem service importance index parameter data and ecological sensitivity index parameter data both include several types of indicator parameters; A region identification module is used to identify potential ecological source regions of the area to be laid out based on the coastal land use data using a morphological spatial pattern analysis method to obtain potential ecological source regions; A regional construction module is used to use a principal component analysis method to weight and classify the indicator parameters of several types in the ecosystem service importance indicator data and the ecological sensitivity indicator data, and obtain corresponding weight parameters of the indicator parameters of several types in the ecosystem service importance indicator data and the ecological sensitivity indicator data; Perform weighted superposition based on the indicator parameters of several types in the ecosystem service importance index data and the ecological sensitivity index data and the corresponding weight parameters of the indicator parameters to obtain the ecosystem service importance assessment index and the ecological sensitivity assessment index of several grid units; perform equal weighted superposition on the ecosystem service importance assessment index and the ecological sensitivity assessment index of the same grid unit to obtain the ecological source comprehensive assessment index of several grid units in the potential ecological source area; Based on the comprehensive ecological source assessment index of the plurality of grid units, the natural breakpoint method is used to classify the plurality of grid units to obtain ecological source grade data of the plurality of grid units; based on the ecological source grade data, a plurality of grades of ecological source patch areas are constructed to obtain ecological source graded areas; the potential ecological source areas and the ecological source graded areas are superimposed to construct ecological source areas, wherein the ecological source areas include a plurality of grades of ecological source sub-areas; An ecological resistance surface construction module is used to obtain ecological resistance factor data for a plurality of grids in the ecological source area, wherein the ecological resistance factor data includes several types of ecological resistance factors and corresponding resistance values; the types of ecological resistance factors include land use type, elevation, distance to roads, and distance to water systems for land space, and marine functional zones and distance to islands for marine space; According to the resistance values ​​and weight parameters corresponding to the ecological resistance factors of the plurality of grids in the ecological source area, the ecological resistance data of the plurality of grids in the ecological source area are obtained, and the ecological resistance surface of the ecological source area is constructed, wherein the ecological resistance surface reflects the state and trend of biological spatial movement and indicates the difficulty of species crossing different habitat patches; A UAV monitoring network layout module is used to construct ecological corridor areas and ecological strategic points based on several levels of ecological source sub-areas in the ecological source area and the ecological resistance surface of the ecological source area, wherein the ecological corridor area includes several levels of ecological corridors; 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; Obtain area data of several monitoring demand areas, construction cost data of several base station sites, and water level increase extreme value data; construct an objective function based on the area data of several monitoring demand areas, the construction cost data of several base station sites, the water level increase extreme value data, and the monitoring demand area coverage maximization objective function, the drone base station construction cost minimization objective function, and the disaster degree minimization objective function in the preset drone base station site selection model, wherein the water level increase extreme value data represents the water increase extreme value of the corresponding base station site when the monitoring demand area where it is located is subjected to a storm surge; the monitoring demand area coverage maximization objective function is: Where, To maximize the coverage of the monitoring demand area, are the number of primary base station sites and secondary base station sites respectively, are the weight parameters of the first-level base station site and the second-level base station site, For the i Base station site pair 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 Area data of the monitoring demand area; The objective function for minimizing the construction cost of the drone base station is: Where, For the i The construction cost data of each base station site, S is the total number of base station sites; The extent of damage is minimized to: Where, For the i The water level increase extreme value data of each base station; Solve the objective function based on the area data of the plurality of monitoring demand areas, the construction cost data of the plurality of base station sites, the water level increase extreme value data, and the monitoring demand area coverage constraint, the monitoring demand area coverage overlap constraint, the drone base station construction cost constraint, and the disaster degree constraint in the drone base station site selection model, and determine a plurality of base station target sites from the plurality of base station sites; The ecological corridor area is used as a communication link, and a drone monitoring network is constructed based on a number of base station target sites and communication links.

5. 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. When the processor executes the computer program, the method implements the steps of the method for arranging a drone monitoring network for coastal ecological monitoring as described in any one of claims 1 to 3.

6. A storage medium, characterized in that: The storage medium stores a computer program, which, when executed by a processor, implements the steps of the method for arranging a drone monitoring network for coastal ecological monitoring as described in any one of claims 1 to 3.

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