52 results about "Spatial simulation" patented technology

Disclosed are a method and an apparatus for determining a safe distance for a karst cavity, a device, and a storage medium. The method comprises: acquiring geological survey data of a target karst region, and constructing a geological simulation model of the target karst region on the basis of the geological survey data; on the basis of feature information of a target karst cavity, constructing a spatial simulation distribution model of the target karst cavity; on the basis of tunnel design parameters, integrating the geological simulation model and the spatial simulation distribution model to obtain a tunnel construction model of the target karst cavity; embedding preselected vehicle information into the tunnel construction model to obtain a corresponding tunnel operation model; and creating disaster simulation events, performing risk prediction for the tunnel operation model, and determining a safe distance for the target karst cavity on the basis of risk prediction results. The method and apparatus for determining a safe distance for a karst cavity, the device, and the storage medium in the present invention optimize tunnel design and construction, ensure the safety of tunnel construction and operation, and provide accurate data model support for actual tunnel engineering.

The invention discloses an umbilical vein catheterization virtual-entity fusion training system based on a novel material, and relates to the technical field of medical simulation training. According to the system, a dynamic three-dimensional umbilical vein anatomical model is constructed through the virtual simulation unit, the entity operation unit adopts a bionic gradient material to simulate neonatal umbilical tissue, and the binding force feedback unit realizes tactile-visual dual-channel interaction. Comprising a multi-source coupling coordinate calibration algorithm, a viscoelastic layered deformation transmission algorithm and the like, and the problems of insufficient operation authenticity and feedback lagging in traditional training are solved by dynamically matching virtual and entity operation spaces and simulating real tissue mechanical response. The novel material preparation unit realizes mechanical property matching with human tissues through a nano-composite process, and the environment simulation unit can reproduce various pathological scenes. The immersion and effectiveness of operation training are remarkably improved, and the method is suitable for standardized training of medical staff in the neonatology department.

The invention relates to the technical field of land data planning, and discloses a reasonable land planning system based on machine learning carbon storage, and the system comprises a multi-source data fusion module, a carbon storage prediction module, a three-generation coordination discrimination module, a land use intelligent optimization module, a scene interaction deduction module, and a planning result generation module. By integrating data such as standardized land utilization and carbon density, a machine learning model is utilized to predict the dynamic state of the carbon density in real time, and the functional coordination degree of the three plants is quantitatively evaluated; and then, by taking the improvement of the carbon reserves and the coordination of the three plants as targets, carrying out spatial simulation and iterative optimization in combination with multi-objective optimization and a cellular automaton, comparing different policy carbon sink effects through scene deduction, and finally outputting an optimization scheme, thereby realizing the real-time closed loop of evaluation and optimization, and synergistically improving the carbon sink benefits and the three-plant function.

The invention discloses a land type adjustment and simulation method based on carbon neutralization constraint, and the method comprises the following steps: obtaining land data of a target region, and calculating the carbon flux of each classification space; constructing a carbon profit and loss weight function based on the carbon flux, the ecological benefit and the economic benefit as an overall constraint condition; reversely deducing each land space area corresponding to a preset time node on the basis of a Markov chain model, and taking the land space areas as stage constraint conditions; performing NSGA-III optimization solution based on the constraint condition to obtain a corresponding land use adjustment scheme; an improved PLUS model is adopted to simulate a land use adjustment scheme, the carbon cost of land conversion is incorporated into a land utilization simulation process, and a genetic algorithm is utilized to optimize model parameters to obtain a land space simulation result of a target year. According to the method, a carbon cycle mechanism, a carbon sink optimization target and a land utilization decision full process are coupled, a closed loop of carbon constraint-land simulation-policy assessment is realized, and scientific decision support is provided for regional carbon emission reduction and ecological protection.

The present application relates to the technical field of reservoir diagenetic strength prediction characterization, and more particularly to a simulation method for offshore deep reservoir dissolution strength, which is characterized in that, according to the relationship between the parameters of diagenetic fluid channels and the reservoir dissolution strength, the diagenetic fluid channels are mathematically characterized, a reservoir dissolution factor calculation model under the guidance of fault parameters is constructed, the model can calculate the dissolution strength in the vertical direction of a single well, and finally, the longitudinal distribution curve of the dissolution factor calculated by the model is combined with seismic data to perform inversion simulation, spatial simulation and prediction of the reservoir dissolution strength, so that quantitative evaluation of the reservoir dissolution effect can be realized. The present application constructs a dissolution factor prediction calculation model based on the quantitative relationship between the dissolution strength and the diagenetic fluid channels, and performs calculation from the cause mechanism of dissolution, so that the rationality and accuracy of the characterization are improved.

The invention designs a digital star simulation detection space target three-dimensional shape recovery verification system and method. A digital star detection space target three-dimensional reconstruction simulation test is realized by reasonably setting the working state of each system unit. Comprising the following steps: a digital star circumference fly-around observation motion simulation unit provides spatial azimuth information such as relative position and attitude of an observation star relative to an observed target star, a sun vector and the like; the image simulation unit is used for carrying out full-link imaging analogue simulation on the geometric structure and surface material characteristics of the space target through relative pose information of the sun, the target and a camera under a J2000 coordinate system provided by the motion simulation unit, and generating a high-precision visible light simulation image of the space target; and the three-dimensional shape recovery unit performs three-dimensional shape recovery processing on the high-precision visible light simulation image of the space target to obtain a complete three-dimensional structure of the space simulation target, and compares a three-dimensional reconstruction result with an input model to realize a three-dimensional reconstruction simulation test of the space target under multiple working conditions.

The present application belongs to the field of ground simulation facilities, and particularly relates to a gravity level ground simulation device and method for extraterrestrial environment welding. The device comprises a general control system, a vacuum system, an outer pipe assembly and a gravity level control mechanism. The general control system can control various parameters during the operation of the device. The vacuum system and the gravity level control mechanism provide two space environment characteristics of high vacuum and different levels of gravity for experiments requiring space simulation. The vacuum degree in the device can reach 10 ‑4 Pa, which can simulate the high vacuum environment in space. The adjustment of different gravity levels of 0-4g0 can ensure that the device has the ability to simulate the gravity of various extraterrestrial planets. Moreover, the device has the advantages of flexible and stable gravity level, high experimental repetition rate, low cost, high safety, etc. and can be used to study the basic welding theory under different gravity levels in space environment, thereby filling the blank of the gravity level ground simulation device specially used for extraterrestrial environment welding.

The invention relates to the technical field of engines, and discloses a clamping device and a test method for a composite material casing installation edge simulation piece, the clamping device for the composite material casing installation edge simulation piece comprises a supporting piece, the surface of the supporting piece is used for placing a simulation piece; the first limiting piece is located on the simulation piece, the first limiting piece is connected with the supporting piece through a first fixing piece, a limiting space is formed between the first limiting piece and the supporting piece, and the first side edge of the simulation piece is located in the limiting space; the second limiting piece is located on the supporting piece, one end of the second limiting piece is connected with the supporting piece, the other end of the second limiting piece abuts against the second side edge of the simulation piece, and the length of the second side edge is larger than that of the first side edge. According to the invention, precise fixation of the simulation piece is realized, the operation process is simplified, the simulation piece is protected, the reliability and efficiency of the test are improved, and the problems of poor clamping precision and complex operation of a clamping device in the prior art are solved.

The application provides a city economic level space simulation method and device, first, multiple source space data are acquired, the research area is divided into a plurality of sub-regions according to the spatial distribution characteristics of the city economic level, and a driving factor data set is constructed by taking a regular space unit as a basic simulation unit;Then, based on the historical city economic level total data, the total quantity constraint model of the city economic level evolution with time is constructed on the sub-region scale;Combined with the attribute information of the space unit, the city economic level grade change probability model of the space unit is established, and the probability of the city economic level grade change of each space unit in a given time stage is calculated;Under the total quantity constraint condition of the city economic level, the dynamic expansion mechanism of the city economic level grade system is introduced, and the city economic level grade of the space unit is distributed and updated;The simulation results of each sub-region are spatially integrated, so that the simulation results meet the overall scale total quantity constraint, so that the city economic level space simulation result is obtained.

The invention relates to the technical field of cultivated land protection simulation and spatial information, and discloses a multi-subject spatialization cultivated land supplementary simulation and scene parameter optimization method and device, and provides a management department, farmer and enterprise multi-subject spatial simulation method and mode by paying attention to the complex decision-making process of farmers and the participation form of a third-party company. Decision simulation of farmland supplement of the farmer under the farmland occupation and supplement balance rule is realized. The farmland plot simulation is not limited to cellular or grid scale, matching of the farmland man-land relationship of farmers is facilitated, the multi-body spatialization modeling capability and the rule scene dynamic simulation capability are improved, the method is more scientific and objective, the simulation precision is higher, the Pareto optimal solution of the rule parameters is obtained through the optimization algorithm, and the method is suitable for large-scale popularization and application. Quantitative rule parameters can be provided for a management department.

The application belongs to the technical field of simulation test, and particularly discloses a dynamic space simulation method for a global satellite navigation constellation, which is based on the idea of optimizing the overall antenna layout and locally compensating power, and proposes a dynamic space simulation method for the global satellite navigation constellation. The key core of the method is a design process based on triangular antenna layout and a local navigation signal power compensation strategy. The method has the advantages of small antenna quantity requirement, uniform layout, simple antenna path calculation, etc. By using the dynamic space simulation method for the global satellite navigation constellation, the construction of a dynamic test environment for all visible satellite navigation signals from different directions at any position in the global range can be realized in the test space, and the simulation of all visible satellite navigation signals at any position in the global range can be realized.

This invention relates to the field of ecological environment assessment and spatial simulation technology, and discloses a method for grassland degradation ecological risk assessment based on a multi-agent model. The method includes a spatial risk assessment module that acquires multi-source basic data and divides it into discrete grid cells, calculating a landscape ecological risk index to generate spatial distribution results; a driving mechanism identification module that extracts driving factors to construct an improved regression tree model and outputs nonlinear response rules; and a multi-agent dynamic simulation module that constructs grassland environmental entities based on grid cells, injects risk indices and response rules, generates herder behavior entities, and inputs management policy parameters. Iterative calculations are performed using these two types of entities to simulate the dynamic process of herder relocation and resource consumption. After the iteration reaches the target year, the grid landscape attributes are reclassified according to the remaining grass cover, and the data is re-input into the assessment module for aggregation calculations, outputting a spatial distribution map to complete the evolution assessment. This invention can intuitively test the intervention effect of management policies on grassland degradation.

The invention provides a virtual building model runtime generation method and device and electronic equipment, and relates to the technical field of three-dimensional space simulation. The method comprises the steps of performing non-real-time preprocessing on original building contour line data corresponding to a virtual building model, analyzing and converting regularized building data into model entity data with a predefined structure when an application program runs, and after a data change set generated by user interaction operation is received, obtaining a data change set; and carrying out fusion updating on the model entity data, carrying out matching and instantiation on a building prefabricated body from a preset prefabricated body library based on the updated model entity data to generate rendering resources, and carrying out batch processing and component registration on the rendering resources to complete rendering. According to the scheme, the dependence on high-precision static model resources can be reduced in the operation stage, the resource occupation pressure in a large-scale building scene is reduced, and dynamic generation and management of the large-scale virtual building model are realized on the premise of ensuring the operation stability.

The invention discloses a method for automatically generating a three-dimensional simulation wire harness standard production based on a wiring relation, and relates to the technical field of wire harness three-dimensional space simulation length and wire harness production, and the method comprises the steps: S1, drawing an electrical cabinet three-dimensional model according to electrical elements in an electrical cabinet; s2, placing the electrical element in the three-dimensional model of the electrical cabinet, and inputting wiring point character attribute data of the electrical element; s3, drawing a wiring harness path diagram with public target positioning according to the three-dimensional model of the electrical cabinet, the wiring point character attribute data of the electrical element and the public point character data; s4, automatically generating a three-dimensional wire harness with a bundling space distribution position based on an electrical wiring table and the obtained wire harness path diagram; and S5, according to the obtained three-dimensional wiring harness path model, each wiring harness is exported into a corresponding sequence lower line table according to a bundling space position sequence, and inflection point positions of each wiring harness form data to be output to the lower line table.

The invention relates to a general control management system and method for regional development and design. The general control management system comprises a data integration and processing module, a digital twin base module, a plan management module, a spatial analysis module, a general control examination module and a user module. The data integration and processing module is configured to integrate multi-source heterogeneous data and perform cleaning, integration and standardization processing on the integrated multi-source heterogeneous data; the digital twin base module is configured to perform data storage, fusion treatment and visual rendering and provide supporting capability; the plan management module is configured to perform plan decomposition, plan tracking and feedback setting; the spatial analysis module is configured to perform spatial simulation analysis according to the digital twin model; the general control review module is configured to perform review management according to regional design general control standards and processes; the user module is configured to define a use object. Through business function development, important support and management tools are provided for regional development and construction, and the overall management efficiency of regional construction is improved.

An information processing system, method, and program are provided that evaluate the feasibility of a design system from the perspective of both spatial simulation and system specifications, and grasp the evaluation results in the context of their relevance to the specifications. [Solution] In an information processing system, information processing by an information processing device includes acquiring (S1) spatial model information and design information from a user terminal. The spatial model information describes a physical model in a virtual space of a design system to be designed and includes information on physical quantities that can be calculated in the virtual space, and the design information indicates specifications of the design system, the specifications being set by a user who designs the design system. The information processing also includes associating (S5) the spatial model information with the design information, calculating (S9) an evaluation index related to the feasibility of the specifications in the physical model based on the result of the association, and outputting (S10) the calculated evaluation index in association with the specifications included in the design information.

The invention provides an urban economic level spatial simulation method and equipment, and the method comprises the steps: firstly obtaining multi-source spatial data, dividing a research region into a plurality of sub-regions according to the spatial distribution characteristics of the urban economic level, and constructing a driving factor data set by taking a regular space unit as a basic simulation unit; then, on the basis of historical urban economic level total data, a total amount constraint model of the urban economic level evolved along with time is constructed on the sub-region scale; combining the attribute information of the space units to establish a space unit urban economic level grade change probability model, and calculating the probability of urban economic level grade change of each space unit in a given time stage; under the constraint condition of the total urban economic level, an urban economic level grade system dynamic expansion mechanism is introduced, and spatial unit urban economic level grades are distributed and updated; and performing spatial integration on the simulation results of the sub-regions to enable the simulation results to meet the overall scale total amount constraint so as to obtain urban economic level spatial simulation results.

The invention provides a virtual road model runtime generation method and device, electronic equipment and a storage medium, and relates to the technical field of three-dimensional space simulation. The method comprises the steps of forming road entity data by performing offline regular processing on original road data, and performing screening, disassembling and modular generation on the road entity data in combination with scene hierarchy information of a target three-dimensional scene in an operation stage, so that the generation precision of a road model corresponds to a scene hierarchy. According to the scheme, the road generation process is converted into a real-time grading generation mode based on the road elements from overall static modeling, so that the scale of road data participating in calculation in the operation stage can be reduced, and the interference of irrelevant road elements on the generation process is reduced; the generated road model keeps controllable consistency in geometric structure and detail level, and road model generation and loading efficiency in a large-scale three-dimensional scene is improved.

The application relates to a portable box for first-aid training, which comprises a box body and a box door, the front surface of the box door is provided with a first containing space, the box body is provided with a second containing space; a training host is operatively contained in the first containing space, the training host has a working state and a containing state, in the working state, the training host extends to a predetermined distance outside the first containing space; in the containing state, the training host is completely contained in the first containing space; a simulation person is contained in the second containing space; an AED training machine is contained in the second containing space or a containing groove arranged on the back surface of the box door; a camera module is installed on the front surface of the box door close to the top and can adjust the shooting angle within a predetermined range. The portable box is small in size, can better contain all the teaching equipment, is convenient for users to carry and is more convenient to use.

The invention provides a GIS (Geographic Information System)-based organic pollutant concentration boundary simulation method. The method comprises the following steps: acquiring multi-source data and preprocessing the multi-source data; constructing a multi-model fused GIS space simulation system and simulating concentration distribution of organic pollutants in soil, water and atmosphere; and analyzing the simulation result and generating a static map. According to the method, by coupling the EFDC hydrodynamic model, the CALPUFF atmospheric diffusion model and the Kriging interpolation model, the migration and diffusion characteristics of organic pollutants in multiple media of water, atmosphere and soil can be comprehensively reflected; according to multi-source data of geography, environment monitoring, weather and pollution sources, model parameters are optimized through a machine learning algorithm, and it is ensured that R of a simulation result is larger than or equal to 0.85, and the spatial resolution is not lower than 1 km; according to the invention, the spatial visualization of the simulation result is realized based on the GIS platform, the concentration thermodynamic diagram and the contour boundary are generated, and the concentration distribution of new pollutants is visually presented.

The invention discloses a user planning path action accessibility analysis method based on a digital twinborn model, which comprises the following steps of: constructing a digital twinborn model library which comprises a product digital twinborn model and a maintenance personnel digital twinborn model; establishing a character inherent action database, wherein the character inherent action database comprises different maintenance personnel operation action data corresponding to maintenance task types; according to the product digital twinborn model, the maintenance personnel digital twinborn model and the character inherent action database, fusing reachable space simulation of a user specified path and inherent actions; and when the path specified by the user and the corresponding action are reachable, calculating reachability related data according to a simulation result. The method is based on a digital twinborn technology, adopts a model algorithm to carry out quantitative space analysis, and completes iteration of design, simulation and optimization in a maintenance support characteristic design stage in a low-cost and high-efficiency manner.

The present application relates to an optimization method for coupling of a prosthesis and a residual limb based on digital twinning. The anatomical structure characteristics and functional attributes of the residual limb skin, soft tissue and bone are fused with stress distribution data in multi-modal data fusion; a multi-layer digital residual limb relationship modeling is constructed; a multi-scale contact space composed of a structure adaptation area, a force transmission area and an energy buffer area of the residual limb and the prosthesis in dynamic behavior is defined; in the simulation of dynamic interaction, the shear force migration trajectory, stress concentration mode and soft tissue slip response between each micro unit of the coupling surface are simulated; the physical partition relationship of the coordination domain is constructed to assist in optimizing the structure and material function gradient of the prosthesis interface; the micro-injury area caused by the prosthesis in wearing and use is described, and the minimum tissue disturbance path is calculated; through deformation vector field analysis and thermal force coupling relationship modeling, the risk distribution of tissue fatigue induced by the prosthesis interface under long-time use is evaluated; dynamic multi-scale coupling optimization and multi-objective optimization control are realized to achieve fatigue risk visualization prediction and early warning.

The application discloses a monitoring point layout optimization method and system based on regional scale nitrogen leaching, and relates to the field of agricultural environmental protection.The method comprises the following steps: acquiring a regional area and regional data; based on the regional data, drawing a slope grade map, a groundwater level grade map and a nitrogen accumulation map of the region respectively; performing pixel-to-pixel alignment, superposition and combination calculation on the slope grade map, the groundwater level grade map and the nitrogen accumulation map of the region to generate a plurality of basic units; under a constraint condition, performing initial layout of monitoring points in each basic unit according to the regional area, an obstacle layer and a preset monitoring point spacing; based on an average distance minimization criterion, constructing a target function of the monitoring points; and based on the target function, optimizing the monitoring points in the initial layout by using a space simulated annealing algorithm to obtain an optimized layout of the monitoring points.The application can improve the monitoring accuracy of regional scale nitrogen leaching and the layout efficiency of monitoring well points.

The invention discloses a deep learning enhanced cultivated land pattern history reconstruction system and method. The method belongs to the technical field of historical cultivated land data reconstruction. The system comprises a multivariate data input module which is used for acquiring land utilization / coverage data, natural environment data and social economic data of a to-be-cultivated land pattern reconstruction region in a certain historical period; obtaining a cultivated land expansion map through the land utilization / coverage data, obtaining a natural environment driving factor through the natural environment data, and obtaining a social economic driving factor through the social economic data; the historical cultivated land area reconstruction module is used for constructing a grain yield-cultivated land area regression model of a research region, performing regional cultivated land area reconstruction based on the grain yield-cultivated land area regression model, and obtaining the annual net increment and decrement cultivated land pixel quantity by calculating the cultivated land area difference value of adjacent years; and the deep learning enhanced space simulation module is used for carrying out year-by-year farmland area reconstruction from the last year of the reconstruction year through a reverse simulation strategy based on a PLUS model.

The invention relates to the technical field of three-dimensional modeling, in particular to a digital twin indoor space dynamic simulation system. The system comprises a three-dimensional space initialization module used for acquiring indoor space data; performing three-dimensional space initialization according to the indoor space data to obtain indoor three-dimensional space data; the individual model embedding module is used for performing individual model embedding on the indoor three-dimensional space data to obtain an indoor individual model; the force field sensing calculation module is used for performing repulsive force processing and obstacle force processing on the indoor individual model to obtain indoor repulsive force data and indoor obstacle force data respectively; the speed obstacle prediction and congestion detection module is used for performing speed obstacle prediction according to the indoor repulsive force data and the indoor obstacle force data to obtain speed obstacle data; and performing congestion detection according to the speed obstacle data to obtain indoor space simulation data. According to the invention, identification and feedback of the potential congestion area are realized, and technical support is provided for safety early warning in a digital twinborn scene.

A deep learning enhanced cultivated land pattern history reconstruction system and method. It belongs to the technical field of historical cultivated land data reconstruction. The system includes a multi-element data input module: obtaining land use / cover data, natural environment data and social economic data of a historical period of the cultivated land pattern reconstruction area; obtaining cultivated land expansion atlas through land use / cover data, obtaining natural environment driving factors through natural environment data, and obtaining social economic driving factors through social economic data; a historical cultivated land area reconstruction module: constructing a grain yield-cultivated land area regression model of the research area, reconstructing the cultivated land area of the region based on the grain yield-cultivated land area regression model, calculating the difference of cultivated land area between adjacent years to obtain the number of annual net increased and decreased cultivated land pixels; a deep learning enhanced spatial simulation module: starting from the last year of the reconstruction year, the cultivated land area is reconstructed year by year through the reverse simulation strategy based on the PLUS model.

This invention provides a spatial simulation method for regional crop yield based on remote sensing water-carbon coupling processes. Driven by remotely sensed soil moisture data and multi-source meteorological data, this method constructs a coupled iterative framework of crop growth, remote sensing water-carbon coupling, and water balance modules. It achieves regional-scale spatial simulation of crop leaf area index, evapotranspiration, total primary productivity, and crop yield at a fixed time scale. The spatial distribution of crop yield is obtained by cumulatively calculating total primary productivity over the crop's growth period. This invention does not rely on field sample data, can reflect spatial differences in crop yield within a region, and is suitable for regional agricultural productivity assessment and agricultural drought impact analysis.

The application provides a rehabilitation training system, which can be applied to the technical field of intelligent rehabilitation. The rehabilitation training system comprises: a weight reduction device, which reduces the stress of the lower limbs of a target object on a motion assisting device in response to a control instruction from a master control module; a powered exoskeleton, which adjusts the motion assisting strength of the target object in response to a control instruction from the master control module; a human-computer interaction module, which adjusts a three-dimensional space simulation environment in response to a control instruction from the master control module; and the master control module, which is used for: determining an initial training strategy based on a rehabilitation stage currently experienced by the target object and a first bioelectric signal collected at a preset body part of the target object; determining a rehabilitation training state of the target object based on a second bioelectric signal collected in real time from the target object during rehabilitation training based on the initial training strategy; and adjusting the initial training strategy to obtain a target training strategy in the case where the rehabilitation training state reaches a preset rehabilitation training state.

This invention discloses a spatial simulation method and system for the relative humidity field during the rainy season, comprising: acquiring the monthly relative humidity baseline field of the dry season reference month, the annual relative humidity baseline field, and the reference monthly relative humidity and the relative humidity of the month to be simulated at meteorological observation stations; calculating the monthly anomaly baseline field of the reference monthly relative humidity; acquiring the monthly anomaly baseline value and the annual relative humidity baseline value of the reference monthly relative humidity at the meteorological observation station, and calculating the monthly relative humidity anomaly and anomaly difference of the meteorological observation station in the reference month; acquiring the monthly relative humidity anomaly difference field of the reference month and the non-monsoon influence field of the relative humidity anomaly of the month to be simulated; calculating the monsoon influence of the relative humidity anomaly of the month to be simulated at the meteorological station, and after acquiring the monsoon influence component field of the relative humidity anomaly of the month to be simulated, calculating the relative humidity field of the rainy season month to be simulated. This invention can improve its application level in the fields of ecology, forestry, agriculture, and natural disaster monitoring and early warning.

The invention discloses an iron tower video monitoring point laying method for cultivated land change monitoring, which comprises the following steps: S1, extracting historical data of cultivated land change, performing risk assessment on a monitoring area according to the historical data, and dividing the monitoring area according to risk levels; s2, by taking monitoring coverage efficiency and economy as optimization targets, combining with weights corresponding to the risk level configuration divided in the step S1, and constructing a target function for evaluating a monitoring point layout scheme; s3, performing iterative optimization by adopting an improved space simulated annealing algorithm based on the objective function constructed in the step S2; and S4, outputting a current optimal monitoring point layout scheme as an iron tower video monitoring point layout result for cultivated land change monitoring. According to the method, a technical chain of risk assessment-algorithm optimization-partition management and control is constructed, and a new path is provided for solving the adaptability problem of a traditional method in a complex scene.