37 results about "Spatial planning" patented technology

This invention discloses a method for determining the threshold for rapid drought-flood transitions to disasters targeting sensitive objects. It innovatively incorporates society, water resources, and the ecosystem as three core objectives into the threshold determination framework, breaking through the limitations of traditional single-factor fixed thresholds. By treating the disaster threshold as a dynamic multidimensional surface, it can reveal the nonlinear variation law of the critical conditions for disasters under different characteristics of disaster-bearing bodies. This invention achieves quantitative analysis from the description of disaster-loss relationships to the determination of critical conditions through the construction of a nonlinear regression model and its inverse solution. Through comparative analysis of subsystem and comprehensive thresholds, this invention can identify the contribution of each system to the overall threshold, providing a basis for identifying the dominant system and key vulnerable factors. The final threshold surface output by this invention is presented in the form of a three-dimensional graph, which is intuitive and easy to apply, providing scientific support for early warning of rapid drought-flood transition disaster risks, land spatial planning, and disaster prevention and mitigation decision-making.

This invention relates to the field of spatial planning technology, and in particular to a method, device, and electronic equipment for identifying potential urban and rural construction land reduction plots. By integrating multi-source data and utilizing spatial overlay analysis, it automatically generates a base map of potential reduction plots, replacing manual screening and improving identification efficiency and standardization. It assigns information values ​​from four dimensions: current population, implementing entity, construction intensity, and ecological importance, constructing a multi-dimensional comprehensive evaluation system that overcomes the limitations of traditional single-dimensional methods. Based on preset screening rules, it outputs the implementation priority level of each plot to achieve automatic sorting, thereby providing scientific and refined decision-making support for urban and rural construction land reduction and relocation.

This invention discloses a method for classifying township shrinkage characteristics based on multi-scale correlation: First, target townships are identified, and study townships are selected, with their spatial boundary data extracted. Second, the spatial distance between the target townships and the study townships is measured, constructing a spatial distance matrix. Third, the spatial distance matrix is ​​reclassified, generating first, second, and third-level spatial relationship matrices. Fourth, the population size change rate, socio-economic vitality change rate, and construction land size change rate for each target township at each spatial level during the study period are calculated. Fifth, a shrinkage characteristic vector set for the target townships is constructed, classifying the shrinkage characteristics. Finally, a shrinkage characteristic map of the target townships is drawn. This invention accurately identifies and classifies township shrinkage characteristics, assesses township development status, and effectively guides the allocation of construction land indicators, the configuration of public service facilities, and the formulation of infrastructure construction standards in territorial spatial planning.

This invention discloses a spatial planning collaborative management system based on multi-plan integration, belonging to the technical field of geographic information technology and collaborative office systems. The system includes a data acquisition module that receives and structurally stores user-submitted spatial planning scheme data and generates a process record package; a map construction module that constructs a version evolution map using the initial version of the spatial planning scheme data as the root node; an analysis module that responds to user version comparison commands, generates a thematic map of spatial differences in planning, and generates a comparison report of differences in planning text; and a backtracking module that, based on the thematic map of spatial differences in planning and the comparison report of differences in planning text, performs a reverse traversal along any target sub-version node in the version evolution map towards the root node, generating a complete traceability report. This invention, by automatically generating a traceability report containing a complete operational chain, provides a precise and reliable chain of evidence for clarifying the responsibility for each modification and the basis for decision-making.

This invention relates to the technical field of land spatial planning, and more particularly to a geographic information collection device based on land spatial planning. The device includes a soil-breaking mechanism comprising a rotating component, which includes a moving frame, a first motor, a drive shaft, and a breaking blade. The first motor and drive shaft are both located at the bottom of the moving frame. The rotating component enables soil breaking and drilling; a stabilizing component improves stability during soil breaking; an auxiliary component changes the diameter of the soil breaking holes; a sampling component collects soil samples; a lifting component raises and lowers the container and the breaking blade; a discharge component removes the collected soil; a protective component prevents the container from collecting soil of mixed heights during drilling; and a digging component allows the container to collect soil at a height matching the container's height.

This application provides a land resource planning method and system based on cadastral information, relating to the field of territorial spatial planning technology. This application obtains spatial patches of the target land parcel, extracts land category identifiers and area control indicators, and establishes a mapping relationship between the area control indicators and the spatial patches. It determines the corresponding land use assessment parameters based on the land category identifiers; responds to spatial replacement requests, extracts source land and target land, and generates a transfer path; along the transfer path, performs a matching test based on the mapping relationship and the replacement area, combined with the land use assessment parameters, and generates a land planning scheme based on the verification results and the vector direction of the transfer path. This enables path-based management of all elements and spatial graphics, solves the problem of unrecorded accounting for land use balance and land consolidation indicators, and improves the accuracy of territorial spatial use control and the scientific nature of planning schemes.

This disclosure, based on the field of urban carbon emissions, provides a method and system for predicting and regulating urban carbon emissions based on spatiotemporal transmission simulation. The method includes fusing multi-source heterogeneous data to construct a digital twin data base for urban carbon emissions; determining the carbon emission transmission intensity between any two spatial units based on this base and forming a transmission intensity matrix, wherein the carbon emission transmission intensity is jointly determined by a spatial attenuation factor, a functional coupling strength coefficient, and a rate of change synergy coefficient; constructing a system dynamics simulation model based on the transmission intensity matrix to simulate the spatiotemporal evolution of carbon emissions and outputting prediction results; identifying key nodes and key paths based on the prediction results, and generating a set of regulation strategies in conjunction with constraints from territorial spatial planning. This application, by defining the carbon emission transmission intensity to form a transmission intensity matrix, transforms the spatial correlation of carbon emissions within a city formed through multiple media into a calculable transmission intensity coefficient, thus constructing a quantitative model for the spatiotemporal transmission of carbon emissions.

This invention discloses a method and system for ecological risk assessment of waste facility site selection, relating to the fields of ecological environment management and spatial planning technology. Addressing the shortcomings of existing methods for ecological risk assessment of waste facility site selection—namely, their inability to quantify dynamic interactions between species, their inability to simulate cascading disturbance effects, and their lack of long-term systematic risk quantification—this invention involves constructing a probabilistic model integrating high-order ecological dynamic processes, multi-source observation data, environmental stress, and spatial effects; utilizing efficient algorithms for parameter estimation; quantifying the multi-dimensional stability of the ecosystem; simulating the dynamic cascading effects caused by facility operation; and constructing a long-term ecological risk index integrating spatiotemporal factors. Finally, combining Pareto front analysis to achieve multi-objective optimized site selection and generate an ecological compensation priority map. This invention overcomes the limitations of traditional static assessments, achieving a closed loop from dynamic simulation of ecological mechanisms to scientific risk decision-making, significantly improving the scientific rigor of site selection assessment and the accuracy of decision support.

This invention discloses a method, device, electronic equipment, and product for monitoring the implementation of land spatial planning, relating to the field of image classification technology. The method includes acquiring aerial images of the target area of ​​the approved plan; extracting SIFT features from the aerial images and local color features of the neighborhood of each feature point in the SIFT features; fusing the SIFT features with the local color features of the neighborhood of each feature point in the SIFT features to obtain a first fused feature; extracting global color features from the aerial images; fusing the first fused feature with the global color features to obtain a second fused feature; and using the second fused feature as input to a pre-trained classification model to obtain the land use type of the target area, so as to monitor the implementation of land spatial planning in the target area based on the land use type. This invention can automatically and dynamically monitor the implementation of land spatial planning in real time, saving human resources.

This invention proposes a self-learning feedback calibration method and system for image generation models, belonging to the field of image generation technology. The method includes: collecting relevant data in the field of land spatial planning; performing structured processing on the relevant data, converting it into a computer-recognizable coded form, and constructing a domain knowledge coding library; selecting a basic image generation model, using LoRA fine-tuning technology, and combining it with the constructed domain knowledge coding library to fine-tune the parameters of the basic image generation model; and generating an initial land spatial planning image dataset based on the fine-tuned image generation model and given initial input conditions. Through the integration of LoRA fine-tuning technology with the ControlNet control network, this method can continuously improve the quality of the image generation model. Combined with the fusion processing of multimodal data, the generated images better meet the actual needs of land spatial planning.

This invention discloses an artificial intelligence-based method and system for analyzing land spatial governance, belonging to the field of land spatial planning technology. The method includes: acquiring multi-source land spatial data; dividing the target area into several spatial units and constructing a spatiotemporal dynamic graph structure; extracting node features using a graph neural network and inputting them into a time-series prediction model to predict the future state of land space; comparing the predicted state with spatial control objectives to identify areas and time periods with conflict risks; for conflict areas, using a reverse reasoning process to deduce a sequence of intervention measures from the target state back to the target state; and outputting a recommended governance plan. This invention integrates state prediction with governance decision-making, realizing a shift from passive, reactive governance to proactive, forward-looking governance. It can accurately identify spatial conflict risks, comprehensively weigh the multidimensional costs of intervention measures, and generate highly feasible governance plans.

This invention discloses a data acquisition system for a survey of the current status of national land spatial planning, relating to the field of photogrammetry. By constructing a two-way geometric mapping relationship, the system transforms reflective stripe features in images into ground-domain stripe fields. Based on this, it quantifies the degree of stripe overlap and texture effectiveness in overlapping ground areas, dynamically adjusts the UAV's acquisition pose to generate collaborative acquisition tasks, and achieves spatial complementarity of reflective stripes from multiple perspectives. The system further constructs a complementary overlap evidence package to screen and select optimal image pairs, and uses stripe field intensity as a continuous weighting factor to perform robust registration of feature points and weighted fusion of multi-image reflective suppression. This invention effectively solves the problem of feature matching failure and splicing misalignment caused by wet film reflection in centralized photovoltaic power plant surveys, generating a geometrically accurate and visually consistent real-world spliced ​​base map for the current status survey.

This invention relates to a landslide susceptibility assessment method based on spatiotemporal enhancement and heterogeneous integration, belonging to the field of geological disaster prediction technology. First, spatiotemporal benchmark unification and sample balancing are constructed using multi-source heterogeneous geospatial data of the study area. Then, a three-level progressive framework of "heterogeneous base learner – meta-feature secondary encoding – dual-channel deep cross-fusion" is used as the core. Three heterogeneous base learners—random forest, XGBoost, and LightGBM—are used to output leak-free meta-probability features through temporal cross-folding. Next, the original high-dimensional factors and meta-features are input into a deep sub-network via a "spatial-semantic" dual-channel approach, and cross-fusion is completed using adaptive gating weights. Finally, the landslide occurrence probability is output. Experiments show that this method outperforms traditional single models in multiple metrics such as ROC and PR, and can significantly improve the accuracy and robustness of susceptibility mapping without increasing field survey costs, providing a highly reliable decision-making basis for mountainous land spatial planning and early disaster warning.

This invention provides a spatial planning data quality inspection method, device, and medium based on an embedded database. First, quality inspection configuration information is loaded, and the local data packets to be inspected are imported into an embedded database engine that supports spatial expansion, forming a local temporary quality inspection database. Based on the quality inspection configuration information, internal quality checks are performed on the data in the local temporary quality inspection database using spatial SQL functions. Then, an external consistency check is performed by loading a remote database through an external data connection. Finally, the results of the internal quality check and the external consistency check are structured and saved to the result table of the embedded database. This invention directly accesses local data packets and remote databases through the embedded database engine, and uses SQL spatial functions to implement integrated automatic quality inspection by executing quality inspection operators within the database kernel. This reduces the difficulty of developing quality inspection operators and significantly improves the efficiency and standardization of quality inspection of detailed land spatial planning data.

The application discloses a kind of land space planning management system and method based on big data, it is related to spatial planning management technical field, in the flood season waterlogging and project approval collaborative scene, using risk and utility double threshold value automatic parameter estimation desensitization, sensitive data can be shared and available are realized, through event time anchoring synchronization, time uncertainty and version pedigree, make cross-source data alignment traceable, can be calculated, control line and index threshold are constructed as constraint atlas, conflict identification and repair candidate are automatically output, and optimal planning scheme is selected with non-dominated solution set, generates approval and land adjustment signal issue, improves decision interpretability and landing efficiency.

This invention relates to the field of land spatial planning technology, specifically to a three-dimensional design method for visualizing land spatial planning data conflicts. The method includes using aerial photography to survey the topography of the planning area, constructing a three-dimensional model of the planning area, acquiring core data on elevation, slope, aspect, topographic relief, soil type, and hydrogeology within the area, and establishing conflict rules for the plans based on land spatial planning control requirements. In this invention, by first summarizing the land area of ​​various plans into the three-dimensional model of the planning area, and then adapting the location and spatial scope of conflicting plans according to preset planning priorities, the amount of planning modifications required is reduced. By determining the location and scope of various plans in advance, subsequent detailed plans can be developed simultaneously, thus improving the overall design efficiency of land spatial planning.

This application provides a lighting design method based on a floor plan, comprising: semantically segmenting the floor plan to obtain a segmentation mask for the building walls; skeletonizing the segmentation mask to generate a skeleton diagram; fitting the skeleton diagram into multiple building wall segments based on the curvature characteristics of the skeleton diagram, wherein the multiple building wall segments include at least one of straight building wall segments, polygonal building wall segments, and curved building wall segments; merging the multiple building wall segments to obtain a vector diagram; performing spatial planning on the connected areas in the floor plan based on the building walls in the vector diagram to divide the connected areas into at least two functional zones; and generating a lighting layout scheme based on the floor plan.

The application provides a kind of different built environment city rain flood risk assessment and optimization strategy generation method and system based on multi-dimensional coupling model, applicable to urban rain flood management and land space planning.The method integrates multi-source basic geographic data and built environment data to construct a target built environment database;different return period rainfall data is input into a one-dimensional-two-dimensional coupled hydrodynamic model to obtain street scale inundation depth, duration and flow rate and other disaster-causing elements;combined with built environment elements, the disaster-bearing characteristics are identified and the built environment types are divided;an index system for risk assessment is established to determine the rain flood risk levels and response laws of different types of built environment under multiple return periods;and then the classified optimization management strategies and spatial control measures are generated to improve the accuracy of urban rain flood risk assessment and the scientificity, applicability and refinement level of planning and control.

The application discloses a 220kV power grid project reverse-order dynamic deduction full-cycle planning method, relates to the technical field of power system planning and dispatching, and comprises the following steps: collecting power grid historical operation, load, power supply and land space planning data, dividing normal and overlapping power supply areas according to electrical distance, and constructing a prospective target network frame; performing reverse deduction with overlapping area load transfer and new energy sending capacity as double constraints to generate an initial time sequence containing synchronization requirements of associated projects; performing multi-dimensional checking and adjusting time sequence on the network frame year by year, synchronously matching the supporting demand of a transformer substation, generating a full-cycle scheme, and linking SCADA and a dispatching system, and dynamically correcting the scheme based on actual data.The application has the advantages that the traditional planning node-type static pain points are solved, a coherent and landable year-by-year construction time sequence output is realized, the calculation precision of power grid power supply capacity and the new energy consumption rate are improved, and the linkage logic of planning and operation is broken through.

This invention discloses a method and system for automated batch generation of village planning thematic maps based on the ArcGIS Pro platform. The method utilizes a standardized template library built on ArcGIS Pro software, combined with administrative division and village planning databases, and employs technologies such as intelligent extent calculation, adaptive scale adjustment, and dynamic layer configuration to achieve automated batch generation of various thematic maps for village planning. The invention includes steps such as constructing map templates, loading planning data, automatically calculating the optimal display extent, dynamically adjusting the scale, intelligently configuring layer display rules, automatically generating map elements, and batch exporting standardized results. This method effectively solves the technical problems of low efficiency, inconsistent standards, and excessive manual intervention in traditional village planning mapping, realizing intelligent, standardized, and efficient production of village planning maps, significantly improving planning efficiency, and providing strong technical support for village planning under the national land spatial planning system.

This invention relates to the field of network analysis and discloses an urbanization spatial correlation network analysis system based on territorial spatial planning. The system includes standardizing multi-dimensional indicators reflecting scientific and educational innovation, urban and rural development, ecological livability, and livelihood security to form urbanization functional state vectors for each town; introducing population size, economic scale, and spatial distance constraint factors to construct an urbanization spatial interaction matrix and generate a spatial correlation network and record network structure parameters; calculating the overall network density, hierarchical characteristics, and node centrality parameters to generate a set of parameters influencing collaborative constraint factors; identifying the development stage of the urbanization spatial correlation network and generating a set of staged collaborative regulation strategies; and simulating and analyzing the resource allocation process between town nodes to output feasible cross-city resource allocation intervals that meet the requirements of network stability and collaborative efficiency. This invention has the advantages of improving scientific rigor and operability.

This invention relates to the field of data processing technology, and more particularly to a method and system for urban renewal spatial planning based on digital twins. The method obtains constraint elements and planning elements for generating urban renewal spatial planning schemes for a target city. During the generation of urban renewal spatial planning schemes using a genetic algorithm, basic crossover probabilities are obtained based on the constraint elements, planning elements, and inherent characteristics of the urban renewal space. The basic crossover probabilities are adaptively adjusted based on the search process state and solution set quality state of each generation of the population, as well as the evolutionary stage of each generation, to obtain adaptive crossover probabilities for each generation. Based on the urban renewal spatial planning schemes output by each generation, urban renewal spatial planning for the target city is achieved. This improves the quality of urban renewal spatial planning schemes generated using genetic algorithms.

This invention provides a grassland carbon sink management decision support system based on a multi-factor weighted regression model, belonging to the field of digital agriculture and ecological information decision technology. The system comprises: a multi-source data integration and processing module that standardizes multi-source data; a multi-factor weighted regression model engine module that employs the multi-factor weighted regression model algorithm; a carbon sink accounting and dynamic assessment module that translates the output of the MWRM model engine module into business language; a scenario simulation and decision support module that provides carbon sink hotspot identification and protection priority delineation, grazing pressure optimization analysis, and pre-assessment of management measure benefits, capable of directly generating quantitatively assessable grazing ban plans, rotational grazing schemes, and engineering layout suggestions based on spatial heterogeneity; and a visualization and interactive output module that provides a graphical interface on a web or desktop to present the results of all the above modules. This invention establishes an automated and intelligent decision support system integrating high-precision accounting, scenario simulation, and spatial planning.

This invention relates to the field of geographic information modeling technology, specifically to a method for simulating the spatiotemporal dynamic evolution of land spatial planning. The method includes the following steps: constructing a spatial vector dual map, establishing an industry-cooperative hyperedge, mapping gap-filling weights using simple complex closure degree, performing transformation simulations in conjunction with suitability scores, implementing geometric topological splitting based on the perpendicular bisector sequence, and outputting spatiotemporal dynamic evolution results. In this invention, by constructing a vector dual map of the real land parcel boundary space, micro-level land parcel geometric features are preserved, the matching relationship between industry classification codes and supply-demand correlation matrices is analyzed, and an industry-cooperative heterogeneous hyperedge is established that transcends physical adjacency limitations. This transforms the implicit driving force of economic factor flows into quantitative collaborative potential energy. Combined with simple complex closure degree, the potential for filling gaps in spatial structures is identified, achieving simulation driven by both economic and geographical factors. Topological splitting is performed on high-burden areas, dynamically reconstructing the spatial connection structure of congested nodes.

The application discloses a kind of land space planning decision-making method and system based on cloud edge end cooperation, the method includes: S1, the multi-source state data of each plot in target area is acquired, and according to plot unique code is vectorized and normalized, form standardization plot state vector;S2, according to the control unit division result of land space planning, construct planning unit set, and based on the spatial topological association between planning unit, function supporting association, infrastructure coupling association and policy control association, establish multi-relation fusion network, the present application relates to land space planning technical field.The kind of land space planning decision-making method and system based on cloud edge end cooperation, spatial topological relationship, function supporting relationship, infrastructure coupling relationship and policy control relationship are comprehensively considered, establish multi-relation fusion network, realize the unified modeling of complex association between planning unit, significantly improve system description precision.

This invention discloses a spatial function coordination and optimization method and system for climate adaptability, belonging to the field of geographic information and spatial planning technology. The method quantifies the supply of ecosystem services in ecological, agricultural, and urban spaces by collecting multi-source data and conducting dynamic assessments; then, it constructs a functional coordination model to analyze the supply and demand relationships and spatial flows, identifying areas of coordination and conflict; finally, it integrates future climate scenarios and generates spatial configuration optimization schemes that balance climate adaptability and development constraints through iterative simulations using multi-objective optimization algorithms. The corresponding system includes five modules: data acquisition and preprocessing, dynamic ecosystem service assessment, coordinated analysis of the functions of ecological, agricultural, and urban spaces, climate adaptability scenario simulation and optimization, and decision support and visualization output. This invention solves the problems of static assessment, fragmented spatial analysis, and lack of climate foresight in traditional methods, significantly improving the climate adaptability and scientific rigor of spatial planning.

This invention discloses a method for identifying and coordinating conflicts among multiple land use plans, comprising: collecting multi-dimensional data through a land use dynamic monitoring and analysis platform; identifying potential conflict areas and types using a spatiotemporal dynamic conflict early warning and simulation model; analyzing the conflict mechanism of spatial elements using a three-dimensional spatial element collaborative optimization algorithm; classifying conflict intensity levels using an ecological land use conflict quantitative assessment model; and formulating and simulating adjustments to a coordination and control scheme based on various parameters for identifying and coordinating conflicts among multiple land use plans. This invention, through multi-model collaborative linkage and a closed-loop design throughout the entire process, accurately captures the characteristics of multi-plan conflicts in the spatiotemporal dimensions, achieving a systematic and precise approach to conflict identification and coordination. It effectively solves the problems of identification bias and insufficient scheme adaptability in traditional methods, providing technical support for the scientific implementation of land use planning.