302 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 provides a multi-source information fusion data spatial analysis method and system based on a knowledge graph, and relates to the technical field of data analysis, and the method comprises the steps: carrying out the quality calibration and fusion of multi-source heterogeneous data, and obtaining standardized fusion data; a city system knowledge graph is constructed, the city system knowledge graph comprises city element nodes with category and hierarchical relations and association strength of the city element nodes, and city function communities are constructed and optimized through a modularity optimization method; an urban element diffusion wave equation model is constructed based on an urban system knowledge graph, an urban element state propagation rule is analyzed, urban function division is performed, an urban system coupling differential equation set model is established to predict urban element state change, an urban system vulnerability index is constructed, and urban system toughness analysis is performed. According to the method, multi-source city data can be effectively fused, the city system knowledge graph is constructed, and decision support is provided for city space planning and management.

The present application provides a method and system for surveying and mapping of national land space planning based on dynamic remote sensing technology. The method includes: constructing a multi-source remote sensing data acquisition network based on the LPV model; performing spatiotemporal registration and noise filtering on time series remote sensing data; extracting spatiotemporal features using a deep neural network; identifying key change areas through a dual attention module; constructing a hierarchical dynamic feature library; establishing an uncertainty distribution model; designing probability constraints; generating adaptive safety spacing rules; establishing a multi-objective optimization function; and implementing a spatial planning strategy using the NSGA‑III algorithm. The present application improves the intelligence level and reliability of national land space planning through dynamic remote sensing data analysis and distributed robust opportunity constraint strategies.

The invention discloses a territorial space planning index dynamic evaluation model, and particularly relates to the field of territorial planning, and the model comprises a multi-source heterogeneous data fusion module, an index system construction module, a dynamic adjustment model construction module, a scheme evaluation and optimization module, and a model application and dynamic updating module. According to the method, various spatial data are integrated through a multi-source heterogeneous data fusion technology, and the data quality is ensured by adopting a three-stage cleaning assembly line and an intelligent correction algorithm; the method comprises the following steps: constructing an index system based on six core contents of territorial space planning, and determining an index weight by applying a Delphi method and an analytic hierarchy process to realize adaptive adjustment of an index threshold; the model adopts time sequence analysis, regression analysis and a machine learning algorithm to predict a development trend, a dynamic feedback mechanism is established in combination with a system dynamics method, and an evaluation scheme is quantified through an analytic hierarchy process; the model performance is evaluated by adopting indexes such as accuracy rate and precision rate, and parameters are continuously optimized based on an evaluation result; finally, the model is integrated to a service system to realize real-time monitoring, and dynamic updating is realized through three mechanisms of data driving, performance triggering and regular maintenance.

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 discloses a territorial space planning toughness identification and evaluation method, and belongs to the technical field of territorial space planning. The method comprises the following steps: step 1, acquiring spatial information, social economic data and ecological environment elements of an evaluation area; 2, dividing functional units as network nodes, and constructing a weighted adjacent matrix to form a complete spatial relation network structure; 3, determining an index weight in combination with an analytic hierarchy process and an entropy evaluation method; 4, calculating the toughness index of each node, and comprehensively evaluating the overall toughness level of the network in combination with network topology analysis; 5, identifying key weak nodes and links based on a network topology structure and node importance analysis; step 6, adopting a multi-objective optimization algorithm to generate candidate schemes of specific improvement measures, and utilizing a Monte Carlo simulation method to evaluate the feasibility and effect of each candidate scheme to determine an optimal implementation path; and step 7, forming an evaluation-improvement-re-evaluation loop optimization mechanism.

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 provides an intelligent analysis method and system for territorial space planning data, and relates to the technical field of data processing, and the method comprises the steps: recognizing an overlapping region through comparative analysis; performing buffer area analysis on the geographic information data, the land utilization data and the urban planning data, and creating buffer areas for rivers, roads and protection areas to identify conflict areas; according to the overlapping region and the conflict region, a corresponding territorial space planning scheme is found through iterative search; performing pattern recognition on the territorial space planning scheme to obtain a planning risk assessment result; according to the planning risk assessment result, the risks are divided into different categories, and each risk is quantified to obtain a specific score of each risk category; and obtaining an overall risk assessment result of the whole territorial space planning scheme according to the scores of the various risks. According to the invention, the accuracy and efficiency of risk assessment can be improved.

The invention relates to the technical field of urban planning, in particular to an industrial space suitability optimization method and system, and the method comprises the steps: collecting geographic information data, industrial data, industrial service related data, enterprise information and infrastructure data as a multi-source data set, associating the multi-source data set with geographic space coordinates, and inputting the geographic space coordinates into a database; the adjusted weight coefficient is applied to the LSTM-ARIMA hybrid model, and updated future industry prediction data is obtained; generating optimized industrial land layout scheme data based on a preset parametric modeling rule; determining planning scale data selected by a user, and obtaining a unified database associated with cross-level data; and comparing the land utilization change condition and the enterprise activity state data with data in the unified database, and when it is detected that data updating lag exists, updating the latest data after verification and prediction filling to the unified database. According to the invention, the adaptability and the intelligent level of urban industrial space planning can be improved.

The invention relates to the technical field of land utilization change evaluation, in particular to a multi-scene land gradient utilization carbon emission prediction method and system and a readable storage medium. A multi-scenario land gradient utilization carbon emission prediction coupling model under three scenarios of historical development trend, future climate change and policy planning effect is considered to comprehensively evaluate the influence of land gradient utilization change on carbon emission under different development paths. And a decision basis is provided for formulating scientific and reasonable regional space planning, a carbon emission reduction policy and a sustainable development strategy. The invention aims to solve the problem of how to improve the simulation accuracy of the carbon emission management regulation simulation system.

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 spatial planning three-dimensional visualization method based on geographic information, which relates to the field of spatial planning and comprises the following steps: acquiring and analyzing remote sensing image data to obtain attribute data and digital elevation data; obtaining and analyzing an actually measured topographic map to obtain vector data; establishing a three-dimensional terrain database by combining the digital elevation data, the vector data and the remote sensing image data; collecting ground building data, generating a building model, and establishing a three-dimensional building model library; acquiring public facility information, and establishing a basic service facility model library; combining the three databases with attribute data to establish a three-dimensional visual GIS database; according to the planning and design scheme, obtaining corresponding three-dimensional visual GIS database data, and establishing a three-dimensional visual area model; a three-dimensional surface dynamic model is generated through a three-dimensional visualization GIS database, and a three-dimensional visual area model is deduced; and based on the deduction result, comparing and optimizing the planning and design scheme.

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 discloses a territorial space planning risk assessment method based on multi-dimensional analysis, relates to the technical field of Internet, and aims to obtain and pre-process data from different sources, ensure the consistency and reliability of the data, simulate city expansion, predict future expansion areas and trends, and combine ecological environment data to evaluate the risk of territorial space planning. According to the method, an ecological sensitive area is further marked, necessary space information is provided for subsequent risk assessment, in a multi-dimensional risk assessment model, a comprehensive risk assessment index ZR is obtained by comprehensively considering multiple aspects of biological habitats, ecological connectivity and water resource flow, the possible influence of urban expansion on the ecological environment is comprehensively reflected, and the risk assessment efficiency is improved. Through comparison with a preset risk assessment threshold value Zth, the risk level of urban expansion is effectively assessed, potential ecological crisis is found in time, the model is optimized through continuous verification and assessment, and sustainability of urban expansion and protection of the ecological environment are ensured.

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 discloses a territorial space planning optimization method and system based on an ecological safety pattern, and relates to the technical field of territorial space planning optimization and ecological safety protection, and the method comprises the steps: carrying out the system collection and preprocessing of multi-source space data, building a space planning optimization mechanism based on the ecological system features and regional development demands, and carrying out the optimization of the territorial space planning. And the spatial relationship among the ecological corridor, the buffer area and the development area is planned as a whole. According to the territorial space planning optimization method based on the ecological security pattern provided by the invention, effective coordination between ecological protection and economic and social development is realized by constructing the territorial space planning optimization method based on the ecological security pattern. By means of an optimized complex mathematical model combining ecological resistance, ecological connectivity, landscape heterogeneity, an ecological buffer area and ecological function compensation, the specific layout of an ecological sensitive area and an ecological corridor is accurately recognized, and the accuracy and the implementation effect of ecological protection measures are greatly improved.

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 relates to a territorial space planning data enhancement method based on machine learning, and belongs to the field of territorial space planning. The method comprises the following steps: data acquisition and processing: acquiring remote sensing image data from a plurality of data sources, and generating a low-resolution (LR) image pair and a high-resolution (HR) image pair; multi-scale feature extraction: extracting features of different scales, and outputting a multi-scale convolution feature image set; performing multi-scale feature fusion: performing weighted average fusion on the feature image set, and obtaining a fused feature image through residual connection; image enhancement: performing up-sampling of the feature map through a sub-pixel convolution layer, redistributing channel information to a spatial dimension, and obtaining an enhanced image through residual connection; training and optimizing the model: training the model by using the paired data set, fusing the mean square error loss and the perception loss by using a loss function, and optimizing the model by using an Adam optimizer. According to the method, more comprehensive data support is provided for space-time dynamic analysis in territorial space planning through data enhancement.

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 discloses an automatic driving space planning enhancement method based on a visual marker. The method comprises the following steps: acquiring an original image and text input; processing the original image to obtain image features; processing the text input to obtain text features; generating a text output with a visual mark by using the image features and the text features; the text output with the visual marks is converted, and text output with coordinates is obtained; the accuracy and semantic consistency of spatial understanding in an automatic driving scene are remarkably improved, high synchronization of visual perception and semantic expression is achieved, and the problem of visual and language modal semantic segmentation in an existing method is effectively solved. The analysis precision of the object position, the motion state and the interaction relation in the automatic driving question and answer task is greatly improved, and the decision reliability and the planning naturalness in a complex driving scene can be remarkably enhanced.