191 results about "Spatial planning" patented technology

The invention relates to the technical field of space planning, and discloses a territorial space planning multi-source data fusion processing method and system, and the method comprises the steps: carrying out the format analysis and semantic annotation of multi-source territorial space data, and obtaining the standard territorial space data of territorial planning; performing hierarchical feature extraction on the standard territorial spatial data to obtain spatial features and attribute features of territorial planning; performing adaptive feature fusion on the spatial features and the attribute features to obtain a multi-semantic fusion feature map of territorial planning; constructing a spatial constraint rule base of territorial planning based on a use control rule and an ecological protection red line of territorial planning; based on a spatial constraint rule base, resolving conflict pattern spots in the multi-semantic fusion feature map, and performing semantic enhancement on the resolved multi-semantic fusion feature map to obtain an optimized fusion result; performing visual rendering on an optimization fusion result to obtain an auxiliary decision graph; according to the invention, the efficiency of data fusion processing in territorial space can be improved.

The invention relates to the technical field of remote sensing image processing, and discloses a remote sensing image adaptive identification method and system for territorial space planning, and the method comprises the steps: obtaining a multi-source remote sensing image data set of a research region, feature extraction, cloud detection, quality evaluation and adaptive preprocessing are carried out; carrying out prototype network coding, calculating a category prototype and probability, and supporting fine tuning of a set; carrying out multi-scale cavity convolution and category scale attention fusion; evaluating the adaptability score of the comprehensive fusion feature map set, and carrying out weighted fusion, classification and normalization; change detection is carried out, stable and change regions are segmented, and time sequence context features are extracted and constrained optimization is carried out; entropy is fused, a boundary is decided, uncertainty is estimated, and weighted fusion is carried out according to a change area; conditional random field optimization, confidence level grading and connected domain identification are carried out; the automation level, the adaptive capacity and the recognition reliability of remote sensing monitoring of territorial space planning are improved.

The invention relates to a territorial space planning data monitoring evaluation method and system, and the method comprises the steps: obtaining multi-modal data, constructing an atmospheric diffusion model based on the multi-modal data, reversely positioning a pollution source, and obtaining a pollutant responsibility matrix; carrying out space grid fusion calculation through the pollutant responsibility matrix and the carbon sink data to generate a carbon source-carbon sink distribution diagram representing a territorial space carbon balance pattern; based on the regional characteristics of the carbon source-carbon sink distribution diagram, generating a territorial space carbon planning scheme through a low-carbon guiding algorithm; constructing a disaster model based on the multi-modal data, and carrying out space coupling analysis on a disaster risk area and a high-carbon sink potential area output by the disaster model to obtain a land space carbon restoration scheme; a digital twinborn platform is constructed according to multi-modal data, an atmospheric diffusion model and a disaster model, an expected carbon sink increment value of a land space carbon planning scheme is deduced and verified through the digital twinborn platform, and iteration of the implementation scheme is carried out.

The embodiment of the invention discloses a landslide disaster evolution analysis method and system based on a coupling model, and the method comprises the steps: carrying out the multi-source data integration of geological structure monitoring data, landform distribution data and hydrological environment monitoring data of a target seismic region, and generating a comprehensive monitoring data set; based on the data set, establishing an interaction association relationship of the target equation set, and constructing a geology-landform-hydrology coupling model; performing dynamic simulation and quantitative evaluation on the instability probability and the landslide scale of the potential landslide mass by using the coupling model according to a preset scene parameter combination, and generating an image-text annotation quantitative evaluation report; and finally, carrying out vulnerability analysis and risk assessment on the disaster-bearing body based on the report, generating a comprehensive guidance report containing a disaster-bearing body vulnerability spatial distribution diagram, landslide risk prevention and control measure suggestions and a regional space planning optimization scheme, and providing a scientific basis for landslide disaster prevention and control and regional planning.

The invention relates to a land space planning and surveying and mapping engineering collaborative measurement method, which comprises the following steps: collecting multi-source surveying and mapping data of a target area, and constructing a live-action three-dimensional semantic model bearing ground feature semantics through fusion processing; key planning elements are extracted based on the model, the spatial relation of the key planning elements is quantified, and a spatial relation graph with geometric entities as nodes and the spatial relation as edges is generated; the planning management and control terms are formalized into computable logic assertions, and a machine executable planning rule base is constructed; performing collaborative traversal and logical reasoning on the spatial relation graph based on the rule base, automatically comparing and identifying violation situations, and generating a planning conflict report; and carrying out fusion mapping on the report and the three-dimensional model to generate a three-dimensional visual review layer for intuitively indicating the position, type and degree of the violation. According to the method, deep fusion of surveying and mapping data and planning rules is realized, planning conformity review can be automatically and intelligently completed, and the problems that the prior art depends on manpower, and is low in efficiency and different in standard are effectively solved.

The invention relates to the technical field of rural space governance and intelligent decision making, in particular to a rural space planning method and related equipment, and the method comprises the steps: obtaining multi-source data of a target rural, the multi-source data comprising land data, population data and rural economic data of the target rural; performing fusion processing of space-time alignment on the multi-source data to obtain fusion data; constructing a spatio-temporal knowledge graph based on the fused data, and extracting entity attributes and spatial relationships; and inputting the entity attributes and the spatial relationship into a pre-trained planning optimization model, iteratively optimizing a rural space matching strategy according to rigid constraints, and outputting an optimal planning result, the technical problems that in the prior art, rural planning faces data splitting, element analysis isolation, planning scheme staticization and actual development requirements are disjointed, the decision making process depends on subjective experience, and economic-ecological benefit tradeoff is difficult to quantify are effectively solved.

The invention relates to the technical field of ecological restoration scene modeling, in particular to an ecological restoration scene modeling method and system platform applied to territorial space planning, and the method comprises the following steps: based on a successful ecological restoration technical scheme case and a to-be-restored land parcel unit. According to the method, normalization processing is carried out on multi-dimensional attributes between successful ecological restoration technical scheme cases and to-be-restored land parcel units, a source-target land parcel feature fingerprint set is constructed, and specific attributes such as annual average temperature, precipitation, soil types, pH values, altitudes, native vegetation types and labor cost are combined; modeling is realized on data source selection granularity and expression dimension. Furthermore, an importance coefficient is set according to the influence degree of each dimension in a historical repair success case, feature difference weight calculation is guided, and a technical migration adaptation degree score is obtained by combining normalized difference calculation, so that a quantifiable source-place adaptation capability evaluation index is established, and the limitation that judgment depends on experience in the prior art is broken through.

The invention relates to the technical field of computer-aided planning, and discloses a territorial space planning decision-making method and system based on multi-dimensional influence assessment, and the method sequentially comprises the steps: multi-source data fusion and problem diagnosis, multi-dimensional influence quantitative assessment, scheme collaborative optimization, and scheme comprehensive screening and decision-making. The system corresponds to the method. According to the method, through multi-source data fusion processing, the data reliability is improved, and a solid foundation is provided for subsequent problem identification; according to a quantitative index and a GIS spatial analysis technology, key problem region identification is more targeted, and the defect of generalization adjustment of a traditional qualitative method is avoided; through traffic, environment and municipal dimension parallel evaluation, the efficiency bottleneck of serial evaluation is avoided, and the evaluation period is shortened; a Pareto candidate scheme set generated through a multi-objective evolutionary algorithm is combined with a comprehensive screening mechanism to ensure that a final scheme is balanced between performance requirements and constraint conditions, and the feasibility of planning landing is enhanced.

The invention relates to the technical field of land planning analysis, in particular to a coastal zone land utilization space planning method based on big data analysis, which comprises the following steps: acquiring a multi-time-sequence remote sensing image and environment monitoring data of a planning area, and calculating an ecological safety index of each space unit in the planning area; obtaining economic activity big data and infrastructure data of a planning area, and calculating a land development suitability index of each space unit in the planning area; and establishing a multi-target collaborative game model taking the land utilization demand and the occupancy identifier as constraint conditions, and finally generating and outputting an optimal coastal zone land utilization space planning scheme. According to the method, the real interpretability of the model is improved, rapid adaptation can be conveniently realized through parameter configuration in different regions and different policy tendencies, and the method has high transportability and engineering deployment value.

The invention provides a reserve land development potential grading evaluation method and system based on pattern spot data, and relates to the technical field of reserve land development management, and the method comprises the steps: carrying out the pattern spot data mining of reserve land, and obtaining an original pattern spot data set with pattern spot attribute information; performing multi-level classification and layering according to a spatial planning hierarchical relationship, and extracting a potential constructable base range; performing pattern spot spatial topology processing, extracting pattern spot geometric feature parameters, and performing pattern spot scale division based on a preset area threshold value; establishing a pattern spot potential evaluation index system, and performing pattern spot development potential category division; and executing the refined extraction of the available space to form a visual board for the reserve land. The technical problems that in the prior art, the development potential of the reserve land is evaluated by depending on manual judgment and a rule-based simplified evaluation model, the evaluation precision is insufficient, the development potential of the land cannot be comprehensively reflected, and the scientificity and rationality of a development decision are further influenced are solved.

The invention provides a territorial space planning index dynamic evaluation system, which comprises the following steps of: determining index data for dynamic evaluation in territorial space planning, and acquiring and preprocessing the index data; analyzing and evaluating the change trend of the index data by using a time sequence analysis method; and setting a visual information display module, setting an early warning threshold value, synchronously completing real-time display of current situation information, analysis and evaluation information and early warning information of the index data, and completing dynamic evaluation operation. The method comprises the following steps: firstly, determining index data of dynamic evaluation in territorial space planning, the index data comprising an ecological protection direction, an agricultural development direction, an urban and rural development direction and an infrastructure direction; static-to-dynamic adjustment of evaluation of territorial space planning is realized, integration, analysis and evaluation of index data are facilitated, full-cycle dynamic monitoring of territorial space planning indexes can be completed, and territorial space planning operation can be completed efficiently.

The invention discloses a data processing system for territorial space planning based on big data, and relates to the technical field of big data processing, and the system comprises a data dynamic feature quantification module which is used for monitoring a data updating event in real time and quantizing generated features; the influence propagation analysis module is used for calculating an influence propagation coefficient; the dynamic processing range defining module is used for comparing the influence propagation coefficient with an adjustable decision threshold value and outputting a corresponding processing range; the data fusion processing module is used for executing data consistency verification and updating, and measuring generation accuracy, time and calculation consumption; and the strategy optimization and learning module is used for calculating a return value and reversely adjusting the adjustable decision threshold in response to the return value. According to the method, the contradiction between the efficiency and the accuracy of massive dynamic data processing is solved by intelligently evaluating the data updating influence, dynamically scheduling the processing resources and continuously performing self-optimization by applying reinforcement learning, and the response speed, the resource utilization rate and the self-adaptive capability of the system are improved.

The invention discloses an intelligent optimization method and system for territorial space planning, and relates to the technical field of territorial space planning, and the method achieves the multi-dimensional coupling calculation between the ecological elasticity of a red line boundary and the internal degradation potential through the construction of a linkage pressure index ORI, comprehensively judges the linkage pressure intensity borne by a space ecological system, and achieves the intelligent optimization of the territorial space planning. And a dynamic response strategy is constructed in combination with a linkage interval threshold. When the linkage pressure index ORI value is higher than a second linkage interval threshold F2, a repair response is automatically triggered; boundary development suppression is carried out when the threshold value is between the linkage interval threshold values; and when the first linkage interval threshold value F1 is lower than the first linkage interval threshold value F1, the original circle layer is kept immovable. The mechanism not only improves the response efficiency and accuracy of planning management decision, but also provides an intelligent adjustment basis with operability for territorial space governance, and ensures effective operation of a full-chain closed-loop ecological regulation and control system from data acquisition, model calculation to strategy execution.

The invention discloses a data layer processing method and system for spatial planning land data arrangement, and relates to the technical field of land data, and the method comprises the following steps: obtaining and collecting a plurality of predefined spatial planning constraint layers; the spatial planning constraint layer comprises a stable cultivated land, a permanent basic farmland, an ecological protection red line and a town development boundary; processing each spatial planning constraint layer to generate a site selection base map database of the temporary land; configuring a land use avoidance rule for each constraint layer of the site selection base map database; the avoidance rule comprises a prohibitive rule and a conditional rule, the prohibitive rule is configured for the layers of the permanent basic farmland and the ecological protection red line, and the conditional rule is configured for the layers of the stable cultivated land and the urban development boundary; responding to a temporary land site selection request of the user; the method has the effect of improving the accuracy and compliance of site selection decision.

The invention relates to the technical field of space planning analysis, in particular to a land space planning analysis system based on big data, which comprises a boundary discrimination module, a purpose offset module, a coordination analysis module, a change identification module and an ownership selection module. According to the method, an efficient spatial information circulation and feedback chain is constructed by combining boundary space structure extraction, use weight distribution mapping, population use collaborative feature analysis, resource configuration change trend tracking and an ownership affiliation unit optimization mechanism; global linkage judgment of core elements such as spatial forms, purposes, population and resources in a complex territorial structure is achieved, the whole-course quantitative perception ability of planning and management is enhanced, land purpose optimization, resource allocation dynamic balance and accurate orientation of ownership relations are promoted, data transparency of a space governance link and continuity of a decision closed loop are improved, and the space governance efficiency is improved. Flexible adjustment and fine management of a spatial pattern in a multi-dimensional scene are supported, and the datamation and intelligence level of a territorial space treatment system is enhanced.

The application discloses a kind of land space planning intelligent optimization method and system, it is related to land space planning technical field, the method is realized by the construction of linkage pressure index ORI, realizes the multidimensional coupling calculation between red line boundary ecological elasticity and internal degradation potential, comprehensively judges the linkage pressure intensity that space ecological system bears, and constructs dynamic response strategy in combination with linkage interval threshold value.When the linkage pressure index ORI value is higher than the second linkage interval threshold F2, automatic trigger repair response;It is between linkage interval threshold value, and boundary development is inhibited;Below the first linkage interval threshold F1, maintain the original circle layer unmoved.The mechanism not only improves the response efficiency and accuracy of planning management decision, but also provides intelligent adjustment basis with operability for land space governance, ensures that the whole chain closed-loop ecological regulation system effectively operates from data acquisition, model calculation to strategy execution.

The invention relates to the technical field of building carbon emission measurement and calculation, and provides a building envelope structure carbon emission dynamic measurement and calculation method which comprises the following steps: step 1, area delimitation: dividing building areas, and combining the same kind of building areas; step 2, individual enclosure structure collection: the unmanned aerial vehicle is used for aerial photography to collect all-angle camera pictures of the individual building enclosure structure in the building area; by considering different time variation and space planning of the building, the heat transfer process of the building envelope and the indoor temperature change are dynamically simulated, the carbon emission measurement and calculation result is updated in real time, and the dynamic change of the carbon emission of the building is reflected in time; the heat transfer and heating capacity of the building envelope structure can be accurately measured and calculated under the influence of solar radiation intensity and outdoor temperature change in different time periods of a building in one day and different orientations, different floors and surrounding environments of the building on heat transfer.

The invention relates to the technical field of ecological space evaluation, in particular to an urban agglomeration ecological space recreation utilization suitability evaluation method, which takes an urban agglomeration as a research area and comprehensively considers the influence of regional natural environment, social and economic factors on ecological space recreation utilization suitability. An evaluation index system is constructed on the basis of ecological suitability, recreation potential and social economic support conditions, global scale ecological space recreation utilization suitability is empirically evaluated in combination with a GIS and an entropy weight method, and through comparison of an existing ecological recreation space distribution pattern and a recreation utilization suitability horizontal distribution pattern, the recreation utilization suitability is evaluated. The future optimization direction of the urban agglomeration ecological space recreation utilization pattern is provided, and effective support is provided for territorial space planning and layout.

The invention provides an image high-definition amplification method and system for generating a planning intention graph. The method belongs to the technical field of image processing and territorial space planning. The method comprises the following steps: acquiring an original planning intention map by using image acquisition equipment, and carrying out image preprocessing on the acquired original planning intention map; adopting a feature extraction network in a deep learning model to perform feature extraction on the pre-processed planning intention graph; professional knowledge in the territorial space planning field is collected and sorted and converted into rules and models which can be processed by a computer, and a planning knowledge base is constructed; constructing a feature optimization model in combination with the feature quantification result and the planning knowledge base; by combining professional knowledge in the territorial space planning field, a planning knowledge base is constructed, and the knowledge is introduced into the training of a deep learning model, so that the generated planning intention map not only is improved in visual quality, but also can better meet the planning requirements, and the reasonability and availability of each element in the image are ensured.

The invention belongs to the technical field of data analysis and processing, and particularly relates to a joint review and judgment method for territorial space planning, compiling and reviewing full-chain business, which comprises the following steps of: 1, reading a project declaration text, a reply text, a planning layer and a management and control layer, planning polygon elements and control polygon elements are read from the planning layer and the control layer, and corresponding enclosing rectangles are generated; 2, inputting a project application text marking sequence into the pointer network model, and performing polygon superposition operation on a project plot polygon and a retrieval result to form a spatial superposition unit set; and step 3, reading the territorial space planning management and control rule base, and generating a project joint review opinion list including a modified point location list and a review conclusion. According to the method, the examination efficiency can be remarkably improved, the manual operation amount is reduced, the examination consistency is improved, and high-precision and high-reliability intelligent support is provided for territorial space planning management.

The invention discloses a semantic segmentation-based space planning conflict intelligent detection method and system, and belongs to the field of computer vision and space planning decision. The method comprises the following steps: acquiring planning graph data to generate an initial semantic segmentation graph; constructing a multi-subject game environment including subjects such as planners, developers and ecological protectors; dynamically optimizing the semantic segmentation model through game experience data; generating a planning guide map by using the optimization model, and embedding the planning guide map into an environment state space; guiding each main body to make a collaborative decision, and generating a dynamic collaborative strategy; generating an intervention sequence based on the strategy, carrying out ethical base line real-time interception, and outputting a security strategy result; and feeding back a security policy result to realize continuous optimization of the model. According to the method, a deep reinforcement learning and semantic segmentation cooperation mechanism is adopted, adaptive generation of planning intention elastic inversion and conflict intervention strategies can be realized, fairness and robustness of decision making are guaranteed through ethical constraint, and the intelligence level of planning conflict detection and decision making is improved.

According to the public service facility supply and demand matching site selection method and system based on the geographic grid, the geographic grid is adopted to integrate multi-source heterogeneous data, data such as population and land utilization are mapped to the unified grid, statistics and space anomaly inspection are combined to guarantee data quality, manual operation is reduced, the technical threshold is lowered, and the method and system are suitable for large-scale popularization and application. Non-professionals can carry out analysis through a standardized process, a precise data foundation is laid for subsequent work, land space planning and current situation data are fused, a population prediction model is constructed to deduce future distribution, planning data are incorporated into analysis, a result is made to adapt to 5-10-year city development requirements, perspectiveness and practical operation are considered, and the method is suitable for popularization and application. And finally, quantizing an accessibility gap through a Gaussian two-step moving search method, iteratively screening an optimal scheme in combination with a greedy algorithm, determining a facility construction priority order, avoiding resource idleness and repeated construction, and ensuring that newly-added facilities efficiently fill the service gap.

The invention discloses a building cost estimation method and device based on artificial intelligence, a storage medium and an electronic device. The method comprises the steps that a target drawing is acquired, and information in the target drawing is recognized and mapped to a standard layer; space planning is conducted on the target drawing, a target contour is determined based on the standard layer and the space planning scheme, and the target contour is used for cost measurement and calculation; calling an intelligent semantic recognition engine, analyzing product usage information in the target contour, classifying the primitives based on the spatial relationship and the product features, and determining a target primitive classification result; product processes are intelligently matched based on the target primitive classification result, the price library is called to calculate the target price for estimation list information, the target estimation building cost is determined, the estimation list information comprises the product processes and product usage information, and the technical problem that in the prior art, the building cost estimation efficiency is low is solved.

The invention discloses a multi-agent collaborative urban community space planning method and device based on large model driving. The method comprises the following steps: converting original urban space data into a structured community space distribution diagram; a planning agent is constructed, the community space distribution diagram is understood and analyzed by using the planning agent, and an initial city planning scheme is output; dividing the initial city planning scheme into a plurality of community areas, and generating local optimization suggestions by a plurality of community planning reviewer agents; and fusing the community optimization suggestions by a high-level planning agent, carrying out global reasoning and coordination, and outputting a final urban space planning scheme. Through cooperative work of multiple types of agents, the intelligent level, cooperative efficiency and service fairness of urban space planning are improved, and the problems of lack of multivariate value expression in traditional generative planning, high labor cost and slow response in participative planning and the like are solved.

This invention discloses an intelligent optimization method and system for the structure of green spaces in urban blocks, relating to the fields of urban planning, landscape architecture, and artificial intelligence. The method includes: acquiring a planning area; delineating units based on the planning area to obtain multiple block units; acquiring relevant indicator data for each block unit; inputting the relevant indicator data for each block unit into a pre-established regression model; and outputting an optimized regression model. The method further includes: calculating the importance of variables in the optimized regression model; performing weight correction and coupling degree calculation based on variable importance to obtain corrected weights and block unit coupling degree; acquiring images of vacant land; performing raster recognition on the vacant land images and overlaying them to obtain an expanded vacant land area; predicting the vacancy probability of the land use raster based on the optimized regression model to obtain the vacancy probability; generating an initial database of urban blocks based on the vacancy probability; generating an initial population from the initial database using a genetic algorithm; and determining the optimized green space structure of the urban blocks based on the fitness of the best individual in each generation of the initial population using a reinforcement learning algorithm. This method can provide diverse options for urban green space planning.

The invention discloses a method for regulating and controlling a thermal environment by an urban form under coupling of human eyes and a bird's-eye view angle. The method comprises the following steps of: inverting a surface temperature based on a radiation transfer equation method and a Landsat-8 remote sensing image; carrying out fine extraction on urban ground feature information fused with multi-modal data; constructing a three-dimensional comprehensive representation system of the urban form under the coupling of a bird's-eye view angle and a human eye view angle; establishing an urban surface temperature prediction model fusing an urban two-dimensional form, an urban three-dimensional form in a bird's-eye view angle and an urban three-dimensional form in a human eye view angle under different spatial scales; and an optimal configuration method for regulating and controlling the surface thermal environment by the urban form under the fine scale and the rough scale is explored. According to the method, a scientific basis can be provided for quantitative regulation and control and space planning optimization of the urban thermal environment, and the effects of refined cooling and thermal environment improvement under urban space structure optimization and greening configuration adjustment are achieved.

The invention discloses a land space planning physical examination supervision and monitoring and planning dynamic maintenance decision-making system based on AI + knowledge graph, and the system comprises a data collection and preprocessing module which is used for collecting and preprocessing multi-source heterogeneous data related to the implementation of land space planning; the dynamic maintenance rule knowledge graph construction module is used for combining the collected historical multi-source heterogeneous data with policy specifications, planning knowledge and expert experience on the basis of an artificial intelligence technology and in combination with an urban physical examination index system, and constructing a dynamic maintenance rule knowledge graph oriented to territorial space overall planning; the three-degree index evaluation module is used for dynamically evaluating the urban physical examination data through feature modeling and time sequence analysis; the dynamic maintenance rule intelligent diagnosis module is used for performing multi-dimensional feature modeling and dynamic diagnosis on the evaluation result based on a knowledge graph and deep learning fusion mechanism; and the dynamic maintenance rule matching module is used for inputting the diagnosis result into the constructed knowledge graph to generate an intelligent decision.

The embodiment of the invention discloses a territorial space planning data quality inspection method and system, and the method comprises the steps: obtaining original territorial space planning data through an FME processing engine module, and carrying out the preprocessing of the original territorial space planning data, and obtaining the preprocessed territorial space planning data; performing quality inspection on the preprocessed territorial space planning data by using an FME processing engine module to obtain a first quality inspection result; transmitting the preprocessed territorial space planning data to a spatial semantic AI engine module by using an FME processing engine module under the condition of determining that the preprocessed territorial space planning data needs to call the spatial semantic AI engine module based on a preset strategy; performing semantic conflict reasoning on the preprocessed territorial space planning data by using a space semantic AI engine module to obtain a second quality inspection result, and transmitting the second quality inspection result to an FME processing engine module; and generating a first initial quality inspection report based on the first quality inspection result and the second quality inspection result by using an FME processing engine module.

The invention provides a tool, method and product for standardized drawing of territorial space detailed planning achievements, and belongs to the technical field of territorial space planning drawing, and the tool comprises a standardized file module which is used for establishing a standardized control and regulation achievement file layer system and generating a standardized control and regulation achievement file; the splitting module is used for splitting the standardized control and regulation result file according to a planning unit range to obtain a split unit file; the extraction module is used for automatically extracting information in the control and regulation achievements according to the split unit files; the map table module is used for generating a map table and presenting various indexes and information of the regulation and control achievement; and the map module is used for generating standardized planning maps in batches through an automatic process. The method can efficiently and accurately complete the standard drawing of the territorial space planning result, improves the intelligent level of planning, and accelerates the promotion of the digital transformation of planning.

The invention relates to the technical field of data management, in particular to a land space planning geographic information big data management method and system. According to the geographic data dimension suspected abnormal degree of the coordinate points and the neighborhood coordinate points under the same dimension; according to the ranking characteristics of the geographic data of the coordinate points in the neighborhood and the geographic data of the coordinate points and the neighborhood coordinate points, obtaining a single-dimensional abnormal confidence coefficient; clustering is carried out according to geographic data of all dimensions of the coordinate points and the neighborhood coordinate points, and cluster characteristic values are obtained according to point clusters where the coordinate points are located and distance characteristics between the point clusters where the coordinate points are located and other point clusters; obtaining a dimension correlation feature value according to the change difference feature of the geographic data of the coordinate points between the dimensions; obtaining a multi-dimensional abnormal confidence coefficient according to the cluster characteristic value and the dimension correlation characteristic value; and obtaining the abnormal degree of the coordinate point under any dimension according to the comprehensive abnormal confidence coefficient and the dimension suspected abnormal degree, and detecting the geographic data, thereby improving the accuracy of territorial space planning.