246 results about "Spatial planning" patented technology

The invention discloses a territorial space layout adjustment decision method based on planning conflict identification, and belongs to the technical field of territorial space planning and management. Comprising the following steps: constructing a space-time conflict feature vector library containing multi-dimensional attributes; generating a semantic knowledge graph containing a causal relationship, a sequential relationship, a spatial relationship and an affiliation relationship; accurate prediction of influence intensity and duration of the conflict state along with time lapse is realized; trend analysis and risk level evaluation of a cross-scale conflict propagation path are realized; automatically identifying dominant conflicts in the current layout and potential conflicts based on propagation prediction, and intelligently classifying composite conflicts by using fuzzy clustering; a staged differentiation conflict intervention strategy recommendation scheme is automatically generated; solving a territorial space layout adjustment scheme; judging whether the layout adjustment scheme meets a preset conflict relieving standard or not;

The invention discloses a territorial space planning method based on big data, and belongs to the technical field of territorial space planning. Comprising the following steps: step 1, constructing a territorial space knowledge graph; step 2, constructing a multi-dimensional territorial space planning solution space, identifying key constraints and determining an optimization path; 3, searching and generating an optimal planning scheme in a solution space; 4, performing quantification and grading processing on hard constraints and soft constraints in territorial space planning to realize multi-objective comprehensive optimization; step 5, performing multi-dimensional confidence evaluation and validity verification on the planning scheme generated by optimization; and step 6, realizing continuous optimization and adaptive evolution of territorial space planning.

The invention discloses a territorial space planning optimization method and system based on three-dimensional modeling, and relates to the technical field of three-dimensional modeling, and the method comprises the steps: obtaining multi-source territorial space data, constructing a three-dimensional space data set, carrying out the three-dimensional geometric modeling, and generating a territorial space three-dimensional model; carrying out multi-dimensional space analysis on the land space three-dimensional model, obtaining a space conflict feature set, carrying out planning constraint, and formulating a space optimization suggestion; executing the space optimization suggestion to perform three-dimensional dynamic modeling, generating a multi-time sequence planning simulation result to perform space planning evaluation, generating a land space planning score, performing planning compensation based on the backtracking space optimization suggestion, updating the space optimization suggestion, and obtaining a space planning optimization scheme. The technical problem that in the prior art, land space planning depends on two-dimensional data, the space conflict and the dynamic evolution process are difficult to comprehensively recognize, and the planning scheme is insufficient in scientificity is solved, and the technical effect of improving the space conflict recognition precision and the planning decision scientificity is achieved.

The invention relates to the technical field of multi-source heterogeneous data fusion of territorial space planning, and particularly discloses a territorial space planning multi-source heterogeneous data intelligent integration system based on semantic analysis. The system comprises a data acquisition and identification module, a semantic density balance degree analysis module, a boundary fuzzy infectivity analysis module, a comprehensive reliability evaluation module and a semantic calibration feedback module. Starting from overall balance and local boundary stability of semantic distribution, semantic conflicts and leakage problems in multi-source data are accurately recognized, reliability evaluation is performed in combination with a deep learning model, semantic dynamic calibration is realized by using knowledge graph reasoning and transfer learning, and a closed-loop feedback mechanism is formed.

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 discloses a port container transportation full-process simulation and space planning quantification system and method under random event deduction. The system comprises a data acquisition module, a data processing module, a process simulation module, an efficiency quantification index generation module and an efficiency quantification module. The data acquisition module is used for acquiring basic data in port operation; the data processing module is used for processing the basic data; the process simulation module is used for constructing port container transportation process simulation covering the whole process of ship navigation, ship berthing, quay crane loading and unloading, storage yard storage and container truck outward transportation based on the processed basic data, and obtaining a simulation result; the efficiency quantitative index generation module is used for obtaining an efficiency quantitative index according to the container transportation characteristics and the port operation experience; and the efficiency quantification module is used for quantifying the simulation result by utilizing the efficiency quantification index. According to the invention, the current operation efficiency level of the port can be measured comprehensively and objectively.

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 construction method and system of an intelligent question-answering system based on a planning knowledge graph library. The method comprises the following steps: acquiring multi-source space planning data in real time; carrying out fusion on the planning data; vectorizing the fused planning data; a plurality of preset retrieval enhancement models are modularized, and interaction of vectorized planning data among the modules is realized through a message queue; through a natural language processing method and a message queue method, constructing a plurality of knowledge maps which can be accessed by the preset retrieval enhancement model; training a pre-training model through the knowledge graph; in response to a user question, retrieving an enhancement model through dynamic routing selection, and retrieving entities and relationships in the knowledge graph; and based on the retrieval result, generating a questioning result through a pre-training model. According to the method, intelligent question answering, scheme generation and evaluation of space planning are realized through the knowledge graph and the pre-training model constructed by the multi-source data, the working efficiency of the space planning is improved, and the manual workload and the error rate are reduced.

The invention relates to the technical field of green intelligent building planning and design, and discloses a green intelligent building multi-factor fusion planning and design method. The method comprises the steps of firstly obtaining geographic information data and ecological environment parameters of a building site, collecting peripheral multi-dimensional environment data and performing fusion processing, constructing a three-dimensional space topology model, and generating an initial space planning model; and then climate simulation and resource circulation conditions are loaded, a comprehensive planning analysis model is formed, and dynamic collaborative evaluation indexes are output. A multi-factor coordination model and key coordination parameters are obtained by constructing a multi-objective optimization pre-training framework for iterative learning, and then a system collaborative simulation result is generated. And establishing a configuration model to optimize facility deployment parameters to obtain an optimal configuration scheme. And finally, dynamically adjusting parameters according to the efficiency evaluation framework to realize planning control of the green intelligent building. According to the method, multiple factors are integrated, optimization of building planning and design is achieved, and the sustainability and the intelligent level of the building are improved.

The invention discloses an intelligent optimization method and system for territorial space planning based on a multi-objective evolutionary algorithm, and relates to the technical field of territorial space planning, and the method comprises the steps: collecting multi-source basic data needed by territorial space planning, and carrying out the optimization of the territorial space planning based on ecological environment bearing capacity and construction land development suitability indexes; constructing a nonlinear mapping model to quantitatively evaluate the development risk of each grid unit, constructing a multi-objective optimization model covering economic, ecological and social benefits by taking the area or quantity of each land type as a decision variable, and calculating the development risk of each grid unit in combination with the initial land utilization state and developable spatial data. The FLUS model is adopted to carry out simulation expansion on the urban development boundary, and the planning scale and the land use growth trend are responded in real time by dynamically adjusting the conversion rule in the simulation process. According to the method, the data integration accuracy and the model response flexibility are remarkably improved, the scientificity and the intelligent level of planning decision making are enhanced, and powerful technical support is provided for regional sustainable development.

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 discloses a natural resource asset management and territorial space planning system fusion method, which comprises the steps of 1) constructing an urban development scale and space layout planning constraint library based on law and policy documents; 2) based on the urban development scale and spatial layout planning constraint library and the natural resource and spatial layout information stored by the cloud platform, the client generates urban development scale and spatial layout schemes of one or more regions, and transmits the urban development scale and spatial layout schemes to the cloud platform; 3) the cloud platform evaluates the city development scale and the spatial layout scheme to obtain evaluation indexes of the city development scale and the spatial layout scheme; and if the urban development scale and the spatial layout scheme of which the evaluation index is greater than the threshold value exist, outputting the urban development scale and the spatial layout scheme of which the evaluation index is maximum. According to the invention, exploration, evaluation, planning, maintenance, development, utilization and other functions of natural resources are comprehensively implemented, a coordination system for cooperation among departments is constructed and perfected, and the functions and responsibility division of the related departments in the fields of natural resource management and control and land space layout planning are clearly defined.

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 provides a land space planning management method and system based on big data. The method comprises the following steps: acquiring original planning graph data; constructing an approval behavior event sequence; based on the prediction of the improved graph neural network, generating a prediction graph and a future purpose prediction result according to the path propagation of the improved graph neural network; according to the prediction map and a future use prediction result, identifying a use conflict trend possibly occurring in the next time period in the territorial space, quantifying the planning tension change intensity between the regions, and positioning a potential high-risk land parcel set; and according to the high-risk land parcel set, in combination with a future use prediction result, a use violation penalty value, an approval state vector, planning tension change intensity and original planning graph data, executing structural rule matching, and generating a structured management suggestion set.

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 discloses a territorial space planning stock land management and control early warning system based on multi-dimensional analysis, and relates to the related field of territorial space management, and the system comprises a data association module which is used for collecting territorial space planning constraint data and regional multi-dimensional land data of a target region, and carrying out the spatial association superposition, and forming a stock land database; the partition development module is used for carrying out stock unit identification and regional aggregation analysis to obtain a partition development stock land; the multi-dimensional constraint analysis module is used for constructing a multi-dimensional constraint system, performing multi-dimensional constraint analysis on the partition development stock land, and determining a partition stock land volume threshold value; and the land use management and control early warning module is used for monitoring and obtaining stock land use development planning volume data according to a partition stock land use volume threshold value, and performing land use management and control early warning based on a grading early warning mechanism. The technical problem that existing stock land management and control early warning is insufficient in accuracy and timeliness is solved, and the technical effect of improving the stock land management and control early warning accuracy and timeliness is achieved.

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.