67 results about "Nature reserve" patented technology

The invention relates to the technical field of environment image processing, in particular to a natural surface feature extraction method for a remote sensing image of a natural reserve. On the basis of multi-source remote sensing data, namely a digital elevation model, a multi-temporal remote sensing image and real-time meteorological data, high-precision semantic segmentation is directly completed on an original low-quality image through spatial-temporal feature decoupling, degradation perception joint training, a gating fusion mechanism and an environmental safety hidden variable modeling technology; and unified monitoring and early warning of various types of environmental safety problems are realized.

The invention provides a multi-modal ecological environment monitoring element plug-in integration system and method based on unified objectification modeling. Firstly, an object model and an inheritance system of monitoring equipment, data and an algorithm are constructed; on the basis, a unified logic storage and metadata cataloguing mechanism oriented to heterogeneous databases such as relational databases, non-relational databases and file object databases is designed and realized; the plug-and-play and full-life-cycle management of equipment, data and algorithm models is further realized through a dynamic registration module; common APIs (Application Program Interface) such as object-level addition, deletion, modification and query, space-time association query, concurrent task scheduling and aggregation and the like are externally provided by relying on a unified service bus. And the hybrid storage engine cooperatively manages structured and unstructured data and maintains a topological relation between objects. According to the scheme, object dynamic integration and expansion are completed on the premise that operation is not interrupted, the multi-source heterogeneous data management and cross-modal analysis efficiency is remarkably improved, and the method is suitable for various ecological environment monitoring scenes such as natural reserve, drainage basin pollution supervision and disaster emergency response.

A method for identifying an optimal corridor width includes: acquiring geographic information data of a target region; evaluating ecosystem service functions of the target region, and constructing an ecological source land in combination with a nature reserve; constructing a resistance surface indicator system, and obtaining a disaster susceptibility distribution result by using geological disaster distribution point data to correct a resistance surface, to thereby obtain a real resistance surface; importing data of the ecological source land and data of the real resistance surface into LINKAGE MAPPER to generate an ecological corridor; constructing an evaluation system of the optimal corridor width based on three aspects of cost-function-ecological benefits, and evaluating the ecological corridor by using an IEW-TOPSIS model to obtain the optimal corridor width of the ecological corridor. The method can compare and identify the corridor width most suitable for construction, and provide reference base for corridor construction.

The invention belongs to the technical field of activity range definition, and provides a natural reserve tourism activity range definition method, which comprises the steps of remote sensing image acquisition, landscape division model boundary division, range definition data collection and definition result matching. The construction process of the tourism suitability evaluation analysis assignment system comprises the steps of research area determination, score table collection, to-be-analyzed data collection, hierarchical calculation formula construction, suitability classification data calculation and interval analysis. According to the invention, automatic division of the remote sensing image is realized through the landscape division model, the workload of manual division is reduced, and the overall efficiency is improved; and data analysis is carried out on the score table and the to-be-analyzed data, so that a more standard tourism suitability evaluation analysis assignment system is formulated, and the reliability of a defined result is improved.

The invention belongs to the technical field of natural protection effect evaluation, and particularly relates to a natural reserve protection effect evaluation method, which comprises the following steps: collecting ecological element data and human activity intervention records in a protection area, and carrying out space-time fusion to generate a dynamic data cube; based on the judgment intervention demand, determining a necessary intervention time node, generating a manual intervention influence coefficient, dynamically generating a protection effect evaluation matrix, and correcting the protection effect evaluation matrix; and finally, when the correction value is lower than a threshold value, forming a space positioning management instruction, outputting a corrected evaluation report and linking the service module to execute the corrected evaluation report. The time-space integration of data is realized, the influence of human activities on the protection effect is accurately quantified, the deviation caused by fixed weight is avoided, a closed loop from evaluation to execution is formed, the pertinence and efficiency of protection management are improved, and the safety of protection management is improved. Therefore, the problems of static evaluation, insufficient intervention influence quantization and disjunction with management decision in the prior art are effectively solved.

The invention relates to the field of specific calculation models, and discloses a natural regulation type salinized soil desalination simulation and multi-objective optimization configuration method, which comprises the following steps of: 1, data acquisition and earlier stage processing; 2, constructing a water and salt migration model; step 3, simulation analysis and scheme optimization; 4, carrying out substitution model training and multi-objective optimization; the final scheme is directly used for guiding engineering implementation, and specifically comprises the steps of determining the terrain adjustment amplitude, the position and depth of a drainage ditch, the micro-topographic relief scale, the earth filling and digging volume and shallow guide and drainage path configuration. The method has the beneficial effects that the natural drainage capacity of regional underground water can be remarkably improved, the effect that evaporation drives salt to move upwards is weakened, the rainfall infiltration capacity is improved, and the natural leaching effect is enhanced. The method is suitable for areas such as mud flats, salt pans and natural reserves where artificial engineering measures are not suitable to be taken, and has the advantages of low cost, high stability, ecological friendliness and the like.

The invention relates to the field of ecological monitoring, in particular to a space-air-ground integrated monitoring and early warning method and system for a natural reserve and a medium, and the method comprises the steps: collecting multi-source heterogeneous monitoring data of the natural reserve through a satellite remote sensing device, an unmanned aerial vehicle aerial photographing device and a plurality of ground sensors which are integrally deployed; performing structured enhancement on the multi-source heterogeneous monitoring data to construct a unified ecological database; inputting the structured enhanced data into a trained deep learning model based on a convolutional neural network architecture for reasoning so as to identify a monitoring target or an abnormal event of a preset category; and according to a deep learning model output result, generating early warning information and pushing the early warning information to a management terminal. According to the invention, through systematic integration of a deep learning technology, scattered data of the natural reserve is converted into linkage information, artificial low-efficiency processing is upgraded to intelligent active decision making, and the application value of air-space-ground integrated data in protection area management can be fully released.

This invention provides a method and system for assessing the impact of construction disturbance on biodiversity in nature reserves, relating to the field of computer technology. The method includes: acquiring species distribution data, construction disturbance data, and environmental data within the nature reserve; constructing an ecological association network based on the species distribution data to obtain a species interaction network; extracting network structure features from the species interaction network to obtain a set of key species; modeling the disturbance propagation dynamics based on the set of key species and the construction disturbance data to obtain an impact propagation path map; predicting biodiversity responses based on the impact propagation path map and environmental data to obtain trends in changes in biological community composition; and conducting a comprehensive impact assessment based on these trends, outputting an impact level index by comparing the degree of deviation from historical baseline states. This invention effectively improves the overall accuracy and predictive precision of the assessment of the impact of construction disturbance on biodiversity in nature reserves.

The application discloses an ecological environment monitoring device based on big data, which comprises a base, a connecting frame arranged above the base, windward fan blades rotatably connected to the connecting frame, a fourth bevel gear fixedly connected to the windward fan blades, a third bevel gear meshedly connected to the fourth bevel gear, a rotating rod fixedly connected to the bottom of the third bevel gear, the rotating rod being rotatably connected to the connecting frame, and a rotating rod being drivingly connected to the rotating rod. In the application, the technical problem that mosquitoes and insects in a nature reserve lie on the surface of a monitoring device and a multi-angle camera in summer, produce excrement or lay eggs, and corrode the device shell and the lens is effectively solved. The surface of the camera is wiped by a friction plate, the cleaning effect of a cleaning agent spraying ring is utilized, and the airflow generated by the swinging of a sail plate blocks the lying of mosquitoes and insects, so that the lens is prevented from being dirty and the shell is prevented from being corroded, the normal shooting function of the multi-angle camera is ensured, the overall service life of the device is prolonged, and the stable development of the monitoring work of endangered animals is ensured.

The invention provides a natural reserve tourism activity management partitioning method, which comprises the following steps: collecting related data information of a natural reserve and carrying out data preprocessing operation to obtain basic data; performing correlation analysis on the basic data through a geographically weighted regression method to obtain a core influence index; grading the core influence indexes according to sensitivity and value attributes, and determining a weight proportion through a weight fusion method; obtaining an area score through the weight ratio and the real terrain score; determining regional function positioning according to the regional score; and determining a space division result by combining a three-dimensional space analysis method based on regional function positioning. According to the method, spatial heterogeneity is captured through geographically weighted regression, a region scoring formula is constructed by combining subjective and objective weight fusion, and a point-line-plane three-dimensional space division method is introduced, so that scientific and flexible region division is realized, and the ecological protection efficiency and the tourist experience quality are improved.

The invention relates to the technical field of image data fusion processing, in particular to a natural reserve data fusion display method based on a three-dimensional digital twinborn model. The method comprises the steps of collecting multi-source heterogeneous data of a natural reserve, and performing intelligent preprocessing to obtain preprocessed data; performing preliminary feature extraction and dimension reduction processing on the preprocessed data to obtain feature data after dimension reduction; introducing a multi-dimensional data hierarchical adaptive fusion algorithm, and performing fusion processing on the feature data after dimension reduction to obtain fused data; and processing the fused data through an incremental updating and spatial adaptive rendering algorithm, embedding the data into a three-dimensional digital twinborn model for display, and updating the display data. The technical problems of inaccurate processing of multi-source heterogeneous data in a natural reserve, low display efficiency and poor self-adaption are solved.

The invention discloses a natural reserve plant diversity analysis device based on a monitoring matrix in the technical field of plant diversity analysis. The natural reserve plant diversity analysis device comprises an acquisition unit and an analysis unit wirelessly connected with the acquisition unit, the acquisition unit comprises an unmanned aerial vehicle monitoring module and a plurality of groups of ground monitoring modules; the ground monitoring module comprises a mounting frame, an adjusting mechanism arranged on the mounting frame, and image acquisition equipment which is connected with the adjusting mechanism and is used for acquiring plant image data. The unmanned aerial vehicle monitoring module and the ground monitoring module cooperatively construct a three-dimensional monitoring matrix with full space coverage, continuous time and multiple parameters, and the analysis unit processes and analyzes collected data in real time to generate plant diversity data. And the adjusting mechanism is controlled to dynamically adjust the height position and the horizontal position of the image acquisition equipment according to the plant image data, so that the integrity and the definition of plant image data acquisition are ensured.

The invention discloses a Metarhizium rileyi XBM-z strain and an application of the Metarhizium rileyi XBM-z strain in prevention and treatment of mangrove forest pests. The preservation number of the metarhizium reevesii XBM-z is GDMCC NO: 65954, and the metarhizium reevesii XBM-z is obtained by being separated from metarhizium giganteum female neoplasm moth collected in a mangrove forest natural reserve area in Guangdong province, and has very strong pathogenicity to mangrove forest explosive lepidoptera pests such as the metarhizium giganteum female neoplasm moth and teak camel moth; and the Metarhizium reevesii XBM-z has strong halophilicity, can promote mycelial growth and increase sporulation quantity under the condition that the salt concentration is less than 3%, is suitable for application in a mangrove forest high-salinity environment, is a biocontrol bacterium with good application potential in mangrove forest pest control, and has important significance in mangrove forest pest control.

The application discloses a nature reserve resource three-dimensional right confirmation method, system and equipment, and relates to the technical field of natural resource right confirmation.The application firstly acquires the coordinate point set of each ancient tree in the protection area, then carries out density checking in the protection area, so that the gathering degree and distribution law of the ancient trees in the protection area in space are determined.Meanwhile, the ancient tree environment influence weighted graph is constructed, so that the influence of factors such as the terrain fluctuation between the ancient trees, the ecological connection strength between the trees and the main barriers and the like is comprehensively considered, and the boundary of the right confirmation community candidate area is further optimized.Then, the right confirmation community area of the nature reserve resource is determined, and the ancient tree resource right confirmation graph of the protection area is made, which provides strong support for the effective protection and management of the nature reserve resource, that is, the difficulty in right confirmation of the natural ancient tree famous tree resource and the low precision in the prior art are effectively solved.

The application discloses an intelligent nature reserve electronic boundary post applied to the field of electronic boundary posts, which is composed of a square tube, a stabilizing assembly, a ground-buried assembly and a boundary post assembly, adopts a semicircle ball and a spherical groove to form a self-adaptive leveling structure, cooperates with a bottom counterweight block to form a gravity self-stabilizing system, can automatically correct when the ground subsides slightly or tilts, long-term maintains a vertical posture, guarantees that data collected by devices such as a camera and a weather sensor is accurate and reliable, and realizes quick locking and installation of the ground-buried assembly by means of a large-stress-area ground-buried plate, a fixing rod, a clamping plate and a bolt, does not need to pour a large amount of concrete, significantly reduces construction difficulty and cost, has strong anti-pulling and anti-inclination performance, is suitable for complex soil environments in the wild, realizes data collection, intelligent processing and remote transmission through an electric control board, can be operated unattended all day long, and realizes real-time boundary monitoring, intrusion early warning and remote control.

The invention discloses a data-driven biodiversity monitoring management method based on multi-source fusion, and particularly relates to the technical field of ecological environment monitoring. Multi-source heterogeneous ecological data of remote sensing images, species records, environmental sensors, community science and the like are obtained and subjected to standardization processing to generate a unified data matrix; based on a space grid model and a sliding time window mechanism, space-time sequence features of all grid points are extracted; generating an embedded vector by using a pre-trained multi-modal ecological representation learning model, and predicting a species diversity index of each region in combination with a species inhabiting adaptability model; a spatio-temporal evolution graph is further constructed, an abnormal change area is identified, and unmanned aerial vehicle cruising and high-frequency monitoring tasks are dynamically scheduled; according to the method, the intelligence, the real-time performance and the precision of ecological monitoring can be improved, and the method is suitable for various application scenes such as natural reserves and biodiversity hot spots.

The present application relates to the technical field of ecological monitoring, in particular to a mobile ecological damage intelligent monitoring device for nature reserves, comprising a vehicle body and a collection box, a collection pipe and a collection cover are sequentially installed on the top of the collection box in communication, the collection cover is used for capturing sand and soil particles in wind sand and conveying them to the collection mechanism in the collection box through the collection pipe, sand and soil particles are captured by the collection cover, then conveyed to the inside of the collection box through the collection pipe, and stored through the sample storage tube in the collection mechanism, as the number of sand and soil particles collected in the sample storage tube increases, the sample storage tube will rotate as a whole under the action of gravity in cooperation with the driving mechanism, further storing the collected sand and soil particles in different sample storage tubes, realizing the collection and independent storage of sand and soil particles at different time periods in the wind erosion process.

The present application relates to the technical field of ecological environment protection, and particularly relates to a coastal wetland nature reserve integration optimization method fusing ecological system integrity, authenticity and high-quality development layout, comprising the following steps: S1: acquiring and generating an ecological system integrity and authenticity spatial difference distribution map; S2: acquiring and generating a human activity intensity distribution map; S3: performing spatial superposition analysis to identify a protection and development conflict region; S4: performing spatial comparison to identify an ecological protection vacancy region; S5: calculating an integration optimization coefficient of each region respectively; and S6: dividing into different priority integration optimization types. The present application, by fusing the spatial adjacency relationship of ecological system integrity, authenticity and high-quality development layout, constructs differentiated integration optimization, realizes accurate identification and priority division of key regions in the coastal wetland ecological system, and improves the scientificity and operability of the nature reserve system optimization.

This application discloses an integrated monitoring boundary marker system based on multimodal sensing and redundant transmission, relating to the field of nature reserve monitoring technology. The system includes multiple boundary markers, each containing sensing and imaging equipment, a dual-power management unit, a sound source identification unit, a multi-source data fusion processing unit, and a multi-mode communication unit electrically connected to the system. This system can effectively monitor and accurately transmit monitoring data for protected areas with an average area of ​​82,000 to 83,000 hectares when only 58 to 59 boundary markers are used. It offers high monitoring reliability and reduces data mistransmission.

The invention relates to the field of three-dimensional modeling, in particular to a natural reserve ecological data dynamic fusion method based on a three-dimensional geographic information system. The method comprises the following steps: obtaining an original observation value of an ecological factor, and carrying out standardization processing to obtain a standardized value of the ecological factor; calculating a deviation degree based on the standardized value of the ecological factor; based on the standardized values and the deviation degrees of the ecological factors, an ecological data dynamic fusion algorithm is adopted, and ecological response indexes are obtained through calculation; and based on the ecological response indexes, generating a final color vector through an ecological response color mapping algorithm. The problems that according to a traditional ecological data dynamic fusion method, all monitoring points are regarded as independent individuals, and the propagation characteristics of short-distance high influence and long-distance gradual attenuation are difficult to quantify are solved; the problems that in a three-dimensional scene, abstract ecological stress intensity is difficult to convert into visual and gradually-changing color information, parameterized regulation and control on human eye sensitivity are lacked, and a high-risk area is easy to cover or misjudge are solved.

The invention belongs to the technical field of ecological protection, and particularly relates to a natural reserve ecological network construction system and method based on landscape ecology, and the system collects multi-source ecological data in a layered manner through a multi-modal sensing array, divides the data into macroscopic, mesoscopic and microscopic levels, and processes the data. And the analysis module identifies key ecological nodes and galleries and delimits the boundary of a protection area. And the resistance model construction module constructs a dynamic resistance surface and calculates an optimal ecological connection path. And the feedback updating module feeds back a result in real time, dynamically adjusts acquisition parameters, and improves pertinence and accuracy of data acquisition. According to the method, the problems of insufficient data acquisition precision, unclear hierarchical division, low analysis efficiency and the like in the prior art are effectively solved, and scientific and efficient technical support is provided for construction of a natural reserve ecological network.

The application discloses a natural reserve infrared camera monitoring and analyzing system in the technical field of natural reserve research, which comprises a collecting module and an analyzing module. The collecting module comprises a ring-shaped mounting piece fixed on a tree, a mounting frame slidingly mounted on the ring-shaped mounting piece, an infrared camera mounted on the mounting frame, and a driving piece for driving the mounting frame to move on the ring-shaped mounting piece. An inner side wall of the ring-shaped mounting piece is provided with a positioning air bag, and an inner side wall of the positioning air bag is provided with a plurality of groups of vertical positioning strips. The analyzing module comprises a processing device mounted on the mounting frame. In the application, the infrared camera is mounted on the mounting frame, and the mounting frame is slidingly mounted on the ring-shaped mounting piece. The infrared camera can move and monitor the surroundings by the driving piece driving the mounting frame to move on the ring-shaped mounting piece. Therefore, a plurality of infrared cameras do not need to be installed, and the cost is reduced.

The invention relates to a bird voiceprint and vision fusion real-time identification method for an oil exploitation operation area, and belongs to the technical field of oil exploitation operation, and the method comprises the steps: collecting a field twitter signal of a current monitoring area of a set natural reserve in a current time segment, and converting the field twitter signal into a voiceprint time frequency graph; acquiring targeted visual data of each frame of on-site monitoring picture in the current time segment in the current monitoring area; a lightweight neural network corresponding to a set natural reserve is adopted to intelligently identify various different bird data of the current monitoring area in the current time segment; in order to solve the technical problem that bird identification lacks scene adaptability, time integrity and data comprehensiveness, a lightweight neural network with a customized structural design is adopted for a set natural reserve in which an oil exploitation operation area is distributed, and intelligent identification of various different bird data is completed at the same time, so that the technical problem is solved.

The present application relates to the technical field of data processing, and particularly relates to a natural reserve unmanned aerial vehicle inspection optimization method, which solves the technical problem of unreasonable inspection route planning of an unmanned aerial vehicle in inspecting a natural reserve in the prior art. The method comprises the following steps: dividing the natural reserve into a plurality of grids, calculating the static obstacle density of the non-obstacle grids in the plurality of grids based on the point cloud data of the static obstacles of the natural reserve, and calculating the dynamic obstacle density of the non-obstacle grids based on the image data of the dynamic obstacles of the natural reserve; determining the comprehensive obstacle factor of each non-obstacle grid based on the static obstacle density and the dynamic obstacle density; selecting the initial point of the grey wolf algorithm based on the static obstacle density, and performing iterative calculation of the grey wolf algorithm with the minimum weighted value of the inspection path length and the comprehensive obstacle factor of the inspection path as the optimization target to determine the inspection path.

The present application relates to the oil exploitation operation area-oriented bird voiceprint and visual fusion real-time identification method, belongs to the oil exploitation operation technical field, the method includes: collecting the current monitoring area of the set nature reserve in the current time segment in the field bird song signal, and converting into voiceprint time-frequency graph; acquire the pertinence visual data of each frame of field monitoring picture of the current monitoring area in the current time segment; using the corresponding lightweight neural network intelligent identification of the set nature reserve in the current time segment in the current monitoring area of various different bird data; the present application aims at the technical problem that bird identification lacks scene adaptability, time integrity and data comprehensiveness, for the set nature reserve distributed with oil exploitation operation area, using the lightweight neural network of custom structure design, at the same time, the intelligent identification of various different bird data is completed, so that the above technical problems are solved.

The invention provides an intelligent site selection method, system and device for a garbage transfer station, and a medium, and relates to the technical field of intelligent site selection, and the method comprises the steps: obtaining the related data of the site selection of the garbage transfer station; the related data comprises land utilization data, water source and natural reserve distribution data, traffic route data, terrain slope data and existing garbage management facility data; analyzing and processing the related data by using a geographic information system to generate a thematic map; performing superposition joint spatial analysis on the thematic map to obtain candidate positions; analyzing and processing the candidate positions and the related data, and constructing to obtain a multi-target site selection optimization function; and screening the candidate positions by using a genetic particle swarm optimization algorithm in combination with a multi-target site selection optimization function to obtain the site selection position of the garbage transfer station. By integrating the multi-source spatial data and the genetic particle swarm optimization algorithm, scientific and reasonable site selection of the garbage transfer station is realized, and the site selection efficiency and environmental friendliness are effectively improved.

The invention discloses an ecological protection red line zoning method based on an ecological important area, and belongs to the technical field of ecological protection red line zoning, and the method comprises the steps: firstly analyzing an ecological service function space-time pattern of a target area through an InVEST physical model, and recognizing a first ecological important area; constructing a positive sample through spatial superposition of the natural reserve and the ecological factors, determining a negative sample in combination with an outlier detection model, and training a machine learning model to recognize a second ecological important region; performing space-time quantization on the two types of ecological important areas, determining a time sequence trend and a spatial pattern, and performing fusion clustering to form an ecological important pattern partition and an ecological change trend partition; and superposing the two types of partitions to obtain an identification result, dividing types and grades, and forming an ecological protection red line zoning scheme. According to the method, a zoning method system fusing a physical model and a machine learning model is established, a multistage red line zoning method coupling ecological importance spatial distribution and a time sequence trend is formed, and a targeted protection strategy is provided.

The invention discloses a bidirectional quantum telemetering technology for a water conservancy ecological sensitive area. The technology is suitable for water conservancy ecological sensitive areas such as national drinking water sources, border rivers, undisclosed water conservancy project scheduling, urban inland inundation risk points, national rivers, international rivers, ecological protection red line areas, natural reserve areas and water conservancy projects possibly causing international environmental dispute. Comprising four core modules of internet-of-things sensing, quantum encryption, adaptive communication and a management platform, adopts a domestic quantum technology in the whole chain, and accords with the national science and technology autonomous controllable strategy; lightweight hardware design adapts to water conservancy field equipment, and large-scale transformation of an existing system is not needed; secret key management and a service scene are deeply fused, and an industry balance point is found between safety and efficiency; a data security system is constructed by utilizing quantum physical characteristics, so that the security and stability of data transmission are ensured while the intelligent monitoring level of a monitoring area is improved, and a data eavesdropping event invading the national overall benefit is prevented.

The invention relates to a natural reserve resource multi-target optimization method and device, a storage medium and equipment, and the method comprises the steps: obtaining multi-source remote sensing data of a target natural reserve, and achieving the prediction of aboveground biomass data and plant crude protein data of the target natural reserve through a pre-trained prediction model; on the basis of a second-generation non-dominated sorting genetic algorithm, the optimal planning information of the target protection area is obtained according to the biological data, the aboveground biomass data, the plant crude protein data, the decision-making target and the constraint conditions of the target protection area; data support is provided for planning of a livestock group structure, the number of wild animals and artificial grassland planting information of a target protection area, the balance problem of multiple targets of human settlement-grassland-wild animal-livestock balance of the natural protection area is solved, and sustainable development of the natural protection area is promoted.

The application discloses a natural-based recreation infrastructure network construction method and device and electronic equipment, relates to the technical field of geographic planning, and comprises the following steps: identifying a recreation resource center of a research area according to nature reserve data, park green space data, scenic spot data, characteristic town data and river system data; constructing a comprehensive resistance surface of the research area according to resistance factors; identifying a target corridor of the research area and a network strategic point of the target corridor according to the recreation resource center and the comprehensive resistance surface; and correcting and adjusting the network structure of the research area according to the recreation resource center, the target corridor and the network strategic point. According to the application, the recreation resource center meeting the ecological function and human recreation demand is screened out according to the recreation resource, the target corridor and the network strategic point are identified, and then the network structure of the research area is corrected and adjusted, so that the natural-based recreation infrastructure network under the guidance of recreation is formed, and the experience of people during recreation can be improved based on the network.