38 results about "Town planning" patented technology

The invention relates to a city planning checking method and system based on natural language processing, and the method comprises the steps: receiving a user request instruction, carrying out the analysis, and obtaining the checking intention information and target region information; retrieving and matching a corresponding region rule set based on the target region information, and generating a checking task list and a data demand list; obtaining multi-source heterogeneous data and preprocessing the multi-source heterogeneous data to obtain standardized check data and historical fusion features; executing a preset differentiation checking process according to the task type; generating a checking report based on the differentiated checking process result; in conclusion, according to the method, the user request is processed and analyzed through the natural language, the planning knowledge base is constructed, deterministic and fuzzy rule tasks are processed in combination with the differentiated checking process, cooperation of rule terms and case features is achieved, the problems that a traditional checking method is low in automation degree and insufficient in fuzzy term processing capacity are solved, and the efficiency of checking is improved. The method has the effects of improving the checking efficiency and enhancing the interpretability of decision suggestions.

The invention discloses a smart city planning method and system based on digital twinning, relates to the technical field of city planning, and solves the problems that the scheme is not feasible due to dependence on manual interpretation of regulation texts, lack of automatic generation and matching of index constraint lists and possible neglect of key constraint conditions in planning suggestions, and meanwhile, the scheme is high in subjectivity and low in cost. And a unified quantitative model is lacked. Through the NLP technology, planning suggestions and regulation terms are compared in real time, conflict indexes are automatically marked, planning conditions and preliminary index calculation results are combined, the generated project planning suggestions strictly follow a policy framework, and manual interpretation errors or violation risks are avoided. A collaborative quantitative evaluation model of the single building and the regional landscape is established, and the landscape effect of the planning suggestion is evaluated from the dimensions of spatial layout, visual vestibule, skyline, color coordination and the like. The fusion degree of the project and the surrounding environment is visually reflected through quantitative scoring, and the deviation of subjective evaluation is avoided.

The invention relates to an urban planning and design standard intelligent question-answering system based on a large language model and GraphRAG, and the system comprises a data collection and preprocessing module which is used for comprehensively collecting urban planning and design standard literatures, including national standard, industry standard, local standard and group standard multi-source documents, the standard knowledge extraction and structuring module is used for carrying out deep analysis on a planning standard text by utilizing a large language model; the graph construction and storage module constructs a city planning standard knowledge graph based on an extraction result, and the semantic retrieval and GraphRAG enhancement module constructs an enhanced question and answer mechanism based on GraphRAG in combination with the knowledge graph and text vector retrieval. The question and answer generation and result explanation module is used for inputting candidate sub-graph contents as context prompts into the large language model and generating accurate and structured answers, and the system interaction and visualization module is used for providing a visual man-machine interaction interface and supporting natural language questioning, result browsing and knowledge graph navigation.

The invention relates to the technical field of urban planning management, and particularly provides a cross-scale planning key point generation method and system based on NLP and knowledge graph reasoning, and the method comprises the steps: receiving and analyzing a natural language demand of a user, extracting entity information and an instruction intention, and converting the entity information and the instruction intention into a structured instruction; constructing a planning domain knowledge graph containing a planning index constraint relation, a cross-scale planning association rule and a cross-professional parameter mapping relation; extracting a target planning index from the structured instruction, and calling knowledge graph association reasoning to generate an index association set containing association indexes and an adjustment range; performing collaboration verification on the index association set, including cross-scale linkage verification based on upper planning data and GIS spatial analysis and adaptation verification based on knowledge graph cross-professional parameter mapping; and generating a structured planning key point report according to the index association set passing the verification. The method improves the planning key point generation efficiency and compliance, and is suitable for the scenes of urban planning, land development and the like.

The invention discloses a standardized toughness unit delimiting method under multiple scales and a related device, and relates to the technical field of urban planning, and the method comprises the steps: obtaining multidisciplinary boundary conditions related to rainstorm waterlogging in a target region; screening and integrating the multidisciplinary boundary conditions to obtain an optimized boundary condition set; determining a basic principle of toughness unit demarcation; according to the optimized boundary condition set and the basic principle, delimiting a toughness unit for the target area based on the actual geographic information of the target area; verifying the delimited toughness unit by using an SWMM model, and when a continuity error of a verification simulation result is within a preset range, judging that the toughness unit meets the requirement; if the continuity error of the verification simulation result exceeds a preset range, the optimized boundary condition set and the basic principle are adjusted again, and the toughness unit is delimited again until verification is passed; and based on the verified toughness units, respectively delimiting standardized toughness units under macroscopic, mesoscopic and microcosmic scales.

The application provides a kind of urban design scheme image generation method and device, with such characteristics, including step S1, according to existing city planning image construction training data set;Step S2, construct planning parameter prediction model and design generation model, and according to training data set respectively training, obtain trained planning parameter prediction model and trained design generation model;Step S3, input specified region image into trained planning parameter prediction model, obtain corresponding predicted planning parameter;Step S4, input predicted planning parameter and specified region image into trained design generation model, obtain design scheme image.In short, the method can generate effective and have specified features and style design scheme image according to specified image.

The utility model relates to the technical field of drawing devices, and discloses a drawing device for urban planning, which comprises a drawing bedplate, an adjusting mechanism is arranged below the drawing bedplate, a positioning mechanism is arranged in the adjusting mechanism, and the adjusting mechanism comprises a supporting assembly, a shaking assembly, a stabilizing assembly and an adjusting assembly. The supporting assemblies are arranged on the left side and the right side of the drawing table plate, the shaking assembly is arranged in the left sides of the supporting assemblies, the stabilizing assembly is arranged on the outer ring of the shaking assembly, and the adjusting assembly is arranged on the inner sides of the supporting assemblies. According to the drawing device for urban planning, through the arranged adjusting mechanism, the drawing table plate can be driven to rotate through a driving gear and a semi-gear ring only by shaking a rocker, so that when drawing personnel draw urban construction drawings, the angle of the drawing table plate can be adjusted according to the use requirements of the drawing personnel; and the adaptability between the drawing device and different persons during use is improved.

The invention relates to the technical field of smart city management and planning decision, in particular to a smart city planning decision support system and method based on multi-source data fusion. The smart city planning decision support system based on multi-source data fusion comprises a data acquisition module for acquiring functional area data of a target lag and stagnation area and original city planning data; the data processing module is used for processing the functional area data and the original city planning data to obtain functional area core strength data and planning influence data with time sequence marks; and the model matching module is used for constructing a planning data set according to related planning case data of each region, and acquiring recommended planning data based on the planning influence data and the planning data set. According to the method, a decision support system fusing multi-source data and integrating intelligent matching and dynamic evaluation is constructed, and the key defects that in traditional city planning, the data source is single, analysis is static and one-sided, decision depends on subjective experience, and scheme rigidity lacks elasticity are effectively overcome.

The application relates to the technical field of urban planning and discloses a CIM urban three-dimensional planning deduction optimization method and system. The method comprises the following steps: acquiring a target area CIM three-dimensional base model and a planning control layer, performing grid division on the CIM three-dimensional base model to obtain a grid three-dimensional unit consistent with the control layer coordinates, and assigning a control index; importing a three-dimensional model of a planning scheme to be deduced, extracting the spatial boundary and the construction index of the three-dimensional model after coordinate registration, mapping the spatial boundary and the construction index to the corresponding grid three-dimensional unit, and checking the control index; calculating the index deviation value of each unit, screening a unit to be optimized, and associating the corresponding spatial information of the unit to be optimized; adjusting the construction parameter of the unit to be optimized, updating the index, repeatedly calculating the deviation and screening until all the units are compliant; and fusing the optimized model and the CIM three-dimensional base model, combining the control index and the checking result to generate a final planning deduction result model. The application can meet the full-process compliance requirements of adapting to urban fine planning control.

The invention discloses a street facade micro-update identification method based on a grid network. The method comprises the steps of acquisition range determination, road network grading and sampling point arrangement, street scene image acquisition and building facade rasterization processing, building construction or dismantling identification through large and small granularities, building facade material identification, micro-update determination and the like. According to the method, the material change of the building facade is automatically identified through the streetscape image, efficient and accurate monitoring of city micro-updating is realized, and the method is suitable for the fields of city planning, updating evaluation and the like.

The application discloses a design method and system for smart city planning, and belongs to the technical field of smart city, which comprises the following steps: S1, data collection and processing: collecting real-time data of the smart city and processing the real-time data of the smart city; S2, smart city planning analysis: analyzing the real-time data of the smart city to determine the smart city analysis result; S3, smart city planning design: formulating a smart city planning design scheme and planning and designing the smart city. The application solves the problem that the existing smart city cannot be comprehensively planned and designed, and a scientific and reasonable smart city planning design scheme cannot be formulated, leading to slow development of the smart city construction and poor management effect. The application can comprehensively plan and design the smart city, can formulate a scientific and reasonable smart city planning design scheme, can intelligently and reasonably manage the resources of the smart city, and can improve the smart city construction development and the smart city management effect.

The application belongs to the technical field of city planning, and provides a city planning application method based on grid management, which comprises the following steps: obtaining current city management data, dividing a target management area into multiple basic management grids; presetting a reserved virtual sub-grid that can be dynamically enabled for each basic management grid through modular design, wherein the reserved virtual sub-grid is in an inactivated state in an initial state and has self-configuration and adjustment capabilities; continuously monitoring dynamic operation data of each basic management grid, analyzing a current data mode by using a decision tree model, and generating a grid adjustment trigger signal. Through dynamic monitoring and the design of the elastic reserved virtual sub-grid, the division and management of the grid are more flexible, the city changes can be responded in a timely manner, and the management efficiency and adaptability are improved.

The present application relates to a kind of town development boundary adjustment method and system based on spatial analysis, it is related to town planning technical field, its method includes: collection demand development town information and development demand information;Based on demand development town information, call town basic land information and town geographic data information;Based on town basic land information, town geographic data information and development demand information, generate development initial boundary information;Based on development initial boundary information, generate development fragmentation parameter value;Based on development fragmentation parameter value and town geographic data information, generate selected geographic data information;Based on selected geographic data information, determine selected geographic boundary information;Based on selected geographic boundary information and development initial boundary information, determine development adjustment boundary information, and output development adjustment boundary information.The present application has the effect of facilitating the accurate landing implementation of town development boundary.

The invention discloses a geological disaster susceptibility assessment method based on risk grade division, relates to the technical field of geological disaster assessment, and solves the problem of unreasonable risk area division in an existing assessment method. According to the method, the optimal grading method with the highest consistency is selected from multiple grading methods based on the grading result and the regional historical disaster consistency, so that boundaries between different risk areas can be described more accurately, and boundary fuzziness and risk misjudgment caused by a manually set fixed threshold value are avoided; by outputting a geological disaster risk level distribution diagram with intuition, comparability and practicability, the method is suitable for disaster prevention and decision support of key areas such as power transmission channels, traffic engineering and town planning.

The present application relates to the technical field of multimedia, and provides a multi-screen linkage sand table display method and device. The present application sets a multi-screen linkage sand table display device in an electronic sand table exhibition area, an operator displays designated city planning data by controlling multiple display screens of the multi-screen linkage sand table display device, acquires facial images of all visitors in the electronic sand table exhibition area to obtain job level tags of the visitors, preloads city planning data to be displayed according to the job level tags to obtain preloaded data, and displays the preloaded data on corresponding display screens when the operator selects to display the city planning data, so that the operator can display the data without feeling the data loading delay. The present application solves the problem that the content data volume to be displayed by a large screen in an electronic sand table is large, the loading speed is slow, the large screen picture is often disordered, and the visitor experience is affected.

The invention discloses a water level early warning device for urban planning, and belongs to the technical field of water level measurement early warning, the water level early warning device comprises a base and a measurement box fixed on the base, the top of the measurement box is provided with an opening, the bottom of one side wall of the measurement box is connected with a drainage pipe, and the drainage pipe is provided with a valve; scales and a first early warning mechanism are arranged on one side wall of the measuring box, and a second early warning mechanism is arranged in the measuring box; the second early warning mechanism comprises a floating box located in the measuring box and a winding roller rotationally installed in the measuring box, warnings are arranged on the side wall of the floating box, connecting ropes are wound around the two ends of the winding roller, and one ends of the two connecting ropes are connected with the floating box; the first early warning mechanism can measure the normal water level, the second early warning mechanism still provides a good early warning effect even if the water level overflows the whole device under the condition that the water level is high, and dangers are reduced.

The application provides a smart city planning construction method based on edge Internet of Things, applied to the technical field of city edge Internet of Things, construction planning data and basic geographic data of a target planning area are acquired, construction demand data in a construction stage is constructed, a first edge Internet of Things node deployed in a construction area is controlled to collect construction equipment and environment state, node description data is generated, construction demand data and node description data are matched and analyzed, a node correlation degree score is calculated, and the node is divided into network roles and configured with authority according to the score, forming a second edge Internet of Things node, in the construction process, control adjustment parameters are generated based on construction state deviation relations, dynamic control and task allocation adjustment are performed on the equipment, the matching of construction demand and node capability is realized, and construction efficiency, resource utilization and operation safety are improved.

The invention discloses a city space planning scheme optimization method based on artificial intelligence, and the method comprises the following steps: obtaining historical space data, dividing a research city into basic space units, and processing the historical space data to generate a model training data set; based on the model training data set, training a performance prediction model used for predicting quantitative development performance indicators of the space planning scheme; inputting a target city planning scheme into the trained performance prediction model to obtain a first performance prediction result; generating one or more comparison planning schemes based on the first performance prediction result, and obtaining the performance prediction result of each comparison planning scheme by using the performance prediction model; and determining and outputting an optimized planning scheme based on the performance prediction result of each comparison planning scheme.

The application discloses a life circle planning rationality evaluation method and system based on people flow prediction, and belongs to the field of city planning. The life circle planning rationality evaluation method based on people flow prediction comprises the following steps: collecting multi-source data, and constructing a community space-time database; constructing a community people flow trajectory prediction model based on the community space-time database, and predicting a community inflow trajectory vector set and an outflow trajectory vector set; simulating a community life circle based on the community inflow trajectory vector set and the outflow trajectory vector set; performing planning rationality evaluation on the simulated life circle; and outputting an evaluation result. The method uses OD flow prediction data to simulate a life circle, obtains community outflow and inflow trajectories, and further predicts a life circle service range, thereby breaking through the technical method that can only identify a community life circle based on present data, providing a simulation and rationality evaluation method for a planning community life circle after a community planning scheme is implemented, and improving evaluation accuracy.

The application relates to the technical field of urban planning and discloses a CIM urban three-dimensional planning deduction optimization method and system. The method comprises the following steps: acquiring a target area CIM three-dimensional base model and a planning control layer, performing grid division on the CIM three-dimensional base model to obtain a grid three-dimensional unit consistent with the control layer coordinates, and assigning a control index; importing a three-dimensional model of a planning scheme to be deduced, extracting the spatial boundary and the construction index of the three-dimensional model after coordinate registration, mapping the spatial boundary and the construction index to the corresponding grid three-dimensional unit, and checking the control index; calculating the index deviation value of each unit, screening a unit to be optimized, and associating the corresponding spatial information of the unit to be optimized; adjusting the construction parameter of the unit to be optimized, updating the index, repeatedly calculating the deviation and screening until all the units are compliant; and fusing the optimized model and the CIM three-dimensional base model, combining the control index and the checking result to generate a final planning deduction result model. The application can meet the full-process compliance requirements of adapting to urban fine planning control.

The invention discloses a method and a system for predicting an urban employment scale, and belongs to the field of urban planning and data science. An existing employment scale prediction method generally performs trend extrapolation based on historical data, and the method is difficult to reflect changes of key factors such as productivity distribution. The method comprises the following steps: determining future productivity according to future productivity layout or historical productivity of each industry of a city; calculating a historical employment scale growth factor based on the historical productivity and the employment quantity; fitting the historical growth factors by adopting a quadratic polynomial regression model, and predicting to obtain future growth factors; and calculating the future employment quantity according to the historical employment data, the future productivity and the future growth factor. According to the method, productivity is used as a core prediction factor, correction is carried out in combination with a growth factor, the prediction result is more accurate, employment distribution changes under productivity layout adjustment can be adapted, and a scientific basis is provided for urban planning and macroscopic decision making.

The present application relates to the field of urban planning management, and more particularly to a multi-modal planning research data processing method and system based on street view analysis, in response to a street view analysis instruction for a planning research project, a planning semantic target associated with the project is issued to a mobile terminal; based on the issued result, the mobile terminal is used to execute acquisition of field collection data; the field collection data is acquired from the mobile terminal; according to the field collection data, the chain street view analysis result is associated and fused with the corresponding research track, multimedia data and attribute information according to the time stamp and positioning information; the processed data is visualized and displayed, including displaying the spatial distribution and statistical chart of the chain street view analysis result on an electronic map; based on the fused data, a structured data packet and a research report conforming to a preset format are generated and output. The pain points of scattered data and low efficiency of manual integration are solved.

The utility model relates to the technical field of urban planning, and discloses a portable urban planning research device which comprises a chessboard base, a foldable panel supporting structure, a fixed supporting panel, a drawer, an abacus, a chess piece puzzle, a first clamping groove, a pull rod progress bar and an inserting position. The panel supporting structure is of a foldable structure and is used for supporting the chessboard base, and the upper surfaces of the left side edge and the right side edge of the chessboard base are provided with second clamping grooves and abacus bodies which are used for containing chess piece jigsaw puzzles. According to the utility model, the insertion positions can be pulled out by pulling the pull rings, different base abstract simplified base drawings are inserted into the insertion positions, the base drawings are updated and transformed, and when the chessboard is erected, a three-dimensional demonstration teaching aid is formed, thereby facilitating the collection of opinions and the popularization of planning teaching, and solving the problems that the urban planning research device is complex in structure and inconvenient to use. The problems of inconvenience in carrying and single function are solved, and the working efficiency of the planning investigation device is improved.

The invention relates to the field of parameterized city planning design and parameterized building design, and provides a polygonal land parcel processing system, electronic equipment and a computer readable storage medium, and the system comprises a first module, a second module, a third module, a fourth module, a fifth module, a sixth module and a seventh module. Through cooperative operation of the first module, the second module, the third module, the fourth module and the seventh module of the polygonal plot processing system, automatic division of the irregular polygonal plot can be achieved, the continuity of the division result and the balanced area and regular shape of the sub-plot can be guaranteed through division in this way, and therefore the situation that the division result is fragmented and unreasonable is avoided.

1. The name of the design product: bus shelter (city planning). 2. The use of the design product: for people to wait for buses. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: perspective view 1.

The invention discloses an urban functional area surveying and mapping method based on multi-feature ensemble learning, and relates to the technical field of urban planning, remote sensing image processing and geographic information systems, and the method comprises the following steps: constructing a multi-modal double-flow adaptive fusion Transformer model MDSA-Former; defining a basic space unit; constructing a TSE feature set; the TSE feature set is input into an MDSA-Former, and a fused TSE'feature set is generated; an integrated learning classifier AdaBoost is adopted to classify the urban functional area units; and generating an urban functional area map to complete urban functional area surveying and mapping. According to the urban functional area surveying and mapping method based on multi-feature ensemble learning, self-adaptive fusion and nonlinear classification of multi-source heterogeneous features are efficiently achieved, and a high-precision and high-robustness technical scheme is provided for large-range and multi-category urban functional area automatic surveying and mapping.

The application discloses a kind of building height extraction methods based on spaceborne laser radar and high-resolution remote sensing image, comprising the following steps: obtaining the spaceborne laser radar ATLAS / ICESat-2L2A global positioning photon product data of city area;The data obtained is preprocessed, and high-quality spaceborne laser radar photon in region is obtained, and further higher quality ICESat-2 photon data is extracted;Obtain high-resolution remote sensing image data of city area, and the high-resolution remote sensing image is cropped and data is marked;Building roof extraction deep learning model and building side elevation extraction deep learning model are constructed and trained;Model predicts building roof extraction result and building side elevation extraction result;Based on building side elevation, building roof is corrected, and building base extraction result is obtained;Building base extraction result is vectorized and intersected with ICESat-2 photon, and based on spatial analysis method, building point is identified, and building height precision evaluation is carried out.The application can extract building height, and provide scientific basis for city planning and ecological environment research.

The invention provides a territorial space planning method and system fusing ecological safety and urban development, and the method comprises the steps: obtaining urban development evaluation factors and ecological evaluation factors to construct an urban development potential pattern network and an ecological safety pattern network, giving a development potential value and an ecological resistance value, and constructing an ecological-development conflict intensity network, the method comprises the steps of obtaining a resampling development potential value and a resampling ecological resistance value, obtaining an ecological-development conflict intensity index, generating a high-intensity conflict region spatial distribution map, defining a comprehensive conversion probability, constructing a town planning cellular definition model, setting a planning requirement group, and constructing a multi-objective optimization problem in combination with the comprehensive conversion probability. And solving a multi-objective optimization problem based on a swarm intelligent multi-objective optimization algorithm, obtaining a development ecological planning set and configuring an ecological development territorial space report, and realizing dynamic conflict identification and multi-objective optimization collaborative decision-making of ecological safety and urban development.

The application relates to a kind of toughness city intelligent planning system, method and storage medium, wherein the system includes data processing subsystem, city information subsystem, simulation engine subsystem, information visualization subsystem and city planning subsystem, wherein data processing subsystem receives city information in real time, obtains scene model after format conversion and is transmitted to city information subsystem, city information subsystem stores scene model, simulation engine subsystem carries out disaster simulation and toughness service simulation according to scene model to obtain projection model, information visualization subsystem layers projection model, and city planning subsystem automatically generates city planning scheme according to projection model. Compared with prior art, the application has the advantages of real-time adjustment of city information, strong flexibility, etc.