84 results about "Nature reserve" patented technology

The invention provides a monitoring and early warning method and system for a natural protection area of wild animals. The method comprises the following steps: firstly, collecting a multi-modal ecological monitoring data stream containing animal activity track data, a habitat environment parameter sequence and a biological voiceprint signal set; then, dynamically matching the animal activity trajectory data with a reference threat mode to generate a first ecological association network feature; and extracting migration path fragments, combining with an environment parameter change gradient, and deducing second ecological association network features through the model. And then, performing cross-modal fusion on the two features to generate a multi-level threat coupling vector, constructing a map based on the biological voiceprint, performing overlay analysis on the map and the coupling vector, and calibrating and outputting a real-time threat level pedigree through an adaptive algorithm. And finally, according to the mapping relationship between the real-time threat level pedigree and a preset strategy library, activating a corresponding ecological protection intervention instruction set, realizing multi-modal data comprehensive analysis, accurate real-time monitoring and early warning and intelligent response, and effectively protecting the ecology of the natural reserve of wild animals.

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 discloses an ecological data acquisition and intelligent analysis system and method for a natural reserve, and relates to the technical field of ecological monitoring, the system comprises a multi-source data acquisition module, a data processing module and an intelligent analysis module, the multi-source data acquisition module comprises a hardware acquisition layer and a data transmission layer, the hardware acquisition layer and the data transmission layer are used for acquiring ecological element data. Firstly, unified collection of multi-source data is achieved through a multi-source data collection module, the problems that data sources are complex, formats are not uniform and the like are solved, and it is ensured that different types of multi-source data can be effectively integrated and utilized; then, rapid multi-source data cleaning, time-space synchronous processing and multi-source data fusion are achieved through the data processing module, the multi-source data processing speed and efficiency are improved, and the requirement for real-time performance of natural reserve ecological monitoring is met; and finally, accurate identification and ecological evaluation of species are realized through an intelligent analysis module, and powerful support is provided for management decision-making of the natural reserve.

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 a water quality monitoring device for a wild animal type natural reserve in the technical field of water quality monitoring. The water quality monitoring device comprises a monitoring box, a sampling box, a turbulent flow detection mechanism and a water quality monitoring intelligent controller, a through hole II corresponding to the sampling pipe is formed in the side surface of each collecting barrel, and a piston plate is vertically and slidably connected to an inner cavity of each collecting barrel; the turbulent flow detection mechanism comprises a detection shaft rotationally connected with the bottom of the sampling box and a turbulent flow detection plate mounted on the detection shaft; the water quality monitoring intelligent controller is provided with an instruction module, an intelligent master control module, a depth control module, a sampling module and a turbulent flow detection module, by adopting the structure, automatic sampling of water bodies at different depths is realized, the disturbance condition of the water bodies at the depths is judged during sampling, the water bodies can be sampled when the water bodies at different depths tend to be in a stable state, and the sampling efficiency is improved. Disturbance to the water body is reduced in the sampling process, and the water body sampling accuracy is improved.

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 invention belongs to the field of remote sensing image change detection, and particularly relates to a natural reserve remote sensing image change detection network, a detection method and a detection device. The detection network comprises a backbone network, a feature extraction network, a first feature enhancement unit, a multi-scale feature interaction module, a second feature enhancement unit, a first change feature extraction module, a first mask extraction module, a change guide unit, a fourth feature fusion module, a second change feature extraction unit, a position attention module and a third feature enhancement module. And a second mask extraction module. The detection method is based on a detection network. And a detection network is integrated in the detection device. The method is used for reducing the omission ratio, solving the problem that the data volume is insufficient when the SAM large model is used for building the model, and reducing the false change influence.

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 invention relates to an air quality monitoring device for a wild animal natural reserve, which is applied to the field of air quality monitoring, and comprises a provincial patrol monitoring mechanism and a monitoring intelligent control system, the provincial patrol monitoring mechanism comprises a support frame, the top end of the support frame is fixedly provided with a monitoring support box, and the support frame is fixedly provided with a support plate; the monitoring device provided by the invention has a self-checking function, can automatically check the self air quality monitoring function, saves the trouble of manual inspection, and can check, find and remind related technicians in time when the monitoring function of the monitoring device has problems, thereby greatly improving the reliability and intelligence of the monitoring device, and improving the working efficiency of the monitoring device. And after the self-inspection is finished, nitrogen filled during the self-inspection can be used for automatically cleaning the filter screen, so that the influence on the monitoring accuracy caused by the influence on the air circulation due to excessive impurities such as dust attached to the filter screen is prevented, and the reliability and the intelligence of the monitoring device can be further improved.

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 invention relates to a bird nesting behavior monitoring device for a power transmission and transformation line in a natural reserve, and relates to the technical field of power system monitoring, the bird nesting behavior monitoring device comprises two monitoring assemblies which are distributed at two ends of a transverse stretcher in a central symmetry manner, two groups of telescopic guide plates arranged at the bottom of the transverse stretcher and a plurality of nesting platforms located at two sides of a power transmission pole, the guide plate is used for guiding birds on the transverse stretcher to the corresponding nesting platform, and the monitoring assembly is used for monitoring activities of the birds on the transverse stretcher and nesting behaviors of the birds on the nesting platform; the guide plate comprises a plurality of plate body units which are distributed in a stacked mode and slide mutually, and bait sliding ways and water flow channels are arranged on the top faces of the plate body units. The device can monitor the nesting behavior of birds, a system integrating the telescopic guide plate, the bait sliding way and the water flow channel promotes the birds to nest at the designated position through the intelligent guide and monitoring technology, the nesting behavior of the birds near a power transmission and transformation line is reduced, and meanwhile biodiversity protection is promoted.

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.