303 results about "Space planning" patented technology

The invention discloses a territorial space planning dynamic monitoring method based on multi-source data fusion, and belongs to the technical field of territorial space planning intelligent monitoring, and the method comprises the steps: obtaining data, and generating a multi-source heterogeneous data set; performing space-time alignment processing by using a preset regional association rule of a planning knowledge base to generate a space-time unified data set; constructing a dynamic knowledge graph taking planning elements as a core based on the data set, and updating node relation weights in real time; guiding a multi-source data fusion direction through the map relation weight to generate a fusion feature vector; incremental learning monitoring processing is carried out on the feature vectors, parameters are optimized, and a planning implementation state monitoring result is output; and updating the knowledge graph node relation weight in a closed loop manner according to a monitoring result, and synchronously optimizing incremental learning monitoring processing. According to the method, a dynamic knowledge graph is adopted to guide data fusion and an incremental learning closed-loop optimization mechanism in real time, and accurate perception and adaptive decision support of a planning implementation state can be realized.

The invention discloses an urban ecological unit scale water conservation function evolution simulation system, relates to the technical field of ecological hydrological simulation, and is technically characterized in that the system combines an InVEST model, a water balance method, a geographic detector and a Moran index to construct a multi-source data fused water conservation evaluation method. According to the system, key factors are obtained through remote sensing data and geostatistical data, a mapping model between water yield and actually measured runoff depth is established based on a regression fitting relation, and a spatial heterogeneity analysis and factor interaction detection mechanism is introduced, so that time sequence dynamic simulation and spatial pattern recognition of a water conservation function are realized. The system can be widely applied to the fields of urban water resource regulation and control, ecological space planning, hydrological safety evaluation and the like.

The invention relates to the technical field of territorial space planning, and discloses a monitoring and evaluation method based on multi-source remote sensing images and geographic information vector data. Comprising the following steps: acquiring a multi-source remote sensing image and geographic information vector data of a target area; performing preprocessing and fusion analysis on the multi-source remote sensing image, generating a dynamic earth surface change detection model with high time resolution, and constructing an initial monitoring baseline in combination with geographic information vector data; according to the method, a high-frequency change detection condition and a semantic segmentation condition are loaded on the basis of an initial monitoring baseline to form a comprehensive interpretation model, a real-time early warning evaluation index is output, and a dynamic earth surface change detection model is generated by preprocessing a remote sensing image. And generating an illegal behavior distribution result by using the key identification parameters, establishing a task distribution model to optimize a supervision scheduling scheme, and finally realizing accurate management and control. According to the invention, the efficiency and accuracy of territorial space planning monitoring are improved, and technical support is provided for intelligent supervision.

The invention relates to the technical field of data analysis, in particular to a territorial space planning data analysis system for ecological restoration, which comprises an interference parameter acquisition module, an ecological disturbance calculation module, a restoration area identification module, a priority level judgment module and a site selection stability screening module. According to the method, the accuracy and efficiency of ecological restoration are improved by capturing various disturbance factors of an ecological sensitive area and dynamically evaluating ecological degradation, and the signal of ecological degradation can be recognized earlier by comprehensively monitoring the change trend of earth surface coverage and the dynamic state of a water body and quickly responding to the subtle change of an ecological environment; ecological service function indexes are adopted for inter-year comparison, a long-term view angle about the health state of an ecological system is provided, prediction accuracy is improved, ecological restoration work can be implemented in a more targeted mode, and the lasting effect of the ecological restoration work is ensured through continuous monitoring of land utilization changes.

The invention discloses an intelligent optimization method and system for territorial space planning based on multi-source data fusion, and belongs to the technical field of territorial space planning. Constructing a data consistency evaluation model, and generating a confidence weight matrix; local sensitivity analysis is carried out, and space conflict units are identified; generating a minimum disturbance path and a feasibility sequence based on the neighborhood stability and the historical change frequency; searching an optimal path combination through a multi-objective optimization algorithm; and identifying a high-sensitivity area as a key planning weak-sensitivity area, executing a dynamic fine tuning strategy, and finally outputting an optimized territorial space layout result. The method can effectively improve the scientificity and adaptability of space planning, and has good practical application value.

The invention provides an examination method and system for a territorial space control detailed planning achievement, and the method comprises the steps: 1, formulating a control and regulation achievement library element standard according to a target planning plot and the basic information of territorial space planning, compiling a territorial space controllability detailed planning GIS result file according to the basic information and a control and regulation result library element standard; 2, according to the basic information, control data and review rules are determined; 3, summarizing rule types according to the management and control data and the review rules, determining the rule type to which the management and control data belongs, and setting a review process corresponding to the rule type; and 4, according to the review process, reviewing the territorial space controllability detailed planning GIS result file to obtain a review result. According to the method, the content format of the GIS result file is unified, the review rule is cleared and solidified, the free cutting space of reviews is compressed, the review process can be standardized and processed, and the review efficiency and quality are improved.

The invention discloses a GIS-based main body function area evaluation index system construction method, and relates to the technical field of land resource management, and the method comprises the steps: obtaining multi-source geographic data of a target main body function area, and carrying out the preprocessing to form a unified geocoding evaluation database; generating an evaluation index system of the main body function area by adopting a composite weighting algorithm according to the evaluation database and the main body function area type division result; inputting the multi-dimensional raster data of the evaluation index system into the spatial decision tree classification model to obtain a classification result; performing overlay analysis on the multi-dimensional raster data to obtain comprehensive evaluation raster data; according to the classification result and the comprehensive evaluation raster data, obtaining a function goodness of fit thermodynamic diagram of the main body function area; and according to the function goodness of fit thermodynamic diagram, performing dynamic updating based on the time sequence, and when the change rate of the monitoring data exceeds a preset threshold, triggering an iterative optimization process. According to the invention, land space planning and main body function area optimization adjustment are realized.

The invention discloses an urban community public space residence vitality measurement method based on spatiotemporal behaviors, and the method is characterized in that the method comprises the following steps: S1, determining a sample; s2, defining a space range; s3, acquiring resident resident activity data; s4, determining community public space information; s5, calculating a residence vitality index; S6, constructing a residence vitality measurement model; and S7, introducing the data and calculating the residence vitality of the public space of each community. According to the method, data acquisition, statistics and analysis are carried out based on actual daily travel behaviors of community residents, and the resident activity distribution condition of the community public space obtained through representation can more truly describe the use condition of the residents on the community public space, so that the actual demands of the residents are mined, and the resident experience is improved. Therefore, the rationality and effectiveness of urban community public space planning are evaluated more accurately, and targeted technical guidance and theoretical support are provided for updating and optimization of the mountain community public space.

The invention discloses a territorial space planning layout method based on multi-target constraint and dynamic weight adjustment. The method comprises the following steps: S1, constructing a multi-dimensional target system comprising a basic constraint layer, a development demand layer and a dynamic adaptation layer; s2, establishing a target space mapping model, generating a basic space unit and endowing the basic space unit with a target correlation coefficient; s3, a dynamic weight adjustment mechanism is designed, and after initial weight assignment, automatic adjustment is carried out when the monitoring data exceed a threshold value; s4, constructing a multi-objective optimization algorithm, and performing coupling calculation to generate an initial scheme; and S5, carrying out multi-scene simulation verification, and outputting an optimal scheme with the highest target collaboration degree. According to the method, the scientificity and adaptability of a territorial space planning layout scheme are improved through cooperation of multiple targets and dynamic weight adjustment.

The invention discloses an ocean three-dimensional space high-potential area identification layout method based on suitability evaluation, and relates to the technical field of ocean space planning management, and the method comprises the steps: collecting sea area natural, social and ecological data and historical three-dimensional right confirmation project cases, carrying out the preprocessing, and constructing a sea area three-dimensional space basic database; analyzing a historical three-dimensional right confirmation case based on a graph neural network, and constructing a sea activity-space layer relation graph; and analyzing the compatibility of different sea-using activity combinations in historical projects by using the sea-using activity-spatial layer relation graph. According to the method, a multi-dimensional suitability evaluation system and a compatibility probability matrix are constructed, a high-potential area meeting natural conditions, ecological constraints and social requirements at the same time can be recognized, plane conflicts of traditional two-dimensional planning are avoided through layered weighted stacking analysis, vertical space resource allocation is optimized through a three-dimensional layered utilization rule, and the compatibility of the high-potential area is improved. Therefore, the same sea area can be compatible with various sea-using activities, and low-efficiency or conflicting layout is reduced.

The invention is suitable for the technical field of land area measurement, and particularly relates to a land area measurement method and system for space planning, and the method comprises the steps: obtaining a basic aerial image, and determining a to-be-measured region based on the basic aerial image; the unmanned aerial vehicle is controlled to fly along the cruise measurement path, and real-time depth data and real-time image data are obtained through measurement; a corresponding contrast image is extracted from the basic aerial image according to the real-time image data, and the measurement position of the unmanned aerial vehicle is determined; and extracting corresponding real-time depth data based on the measurement position, constructing a three-dimensional coordinate system according to the real-time depth data, constructing a measurement curved surface of the region to be measured in the three-dimensional coordinate system, and calculating the area of the measurement curved surface of the region to be measured. According to the method, the positions of the sampling points are positioned based on the matching relation between the images, positioning is achieved without depending on a positioning system, the positioning accuracy is greatly improved, the three-dimensional plane is constructed based on the measurement data, and the area measurement accuracy is improved.

The application discloses a kind of big data-based optimization analysis method and system of territorial space planning, it is related to big data and optimization analysis technical field of territorial space planning, including real-time data acquisition and dynamic preprocessing, dynamic regional division, multi-model integrated space-time prediction, multi-objective dynamic optimization planning, real-time feedback and adaptive adjustment.The big data-based optimization analysis method of territorial space planning provided in the application adopts space-time weighted fuzzy clustering method, divides the territorial space into several sub-regions according to the spatial coordinates and time attributes of data, constructs the weighted distance regular objective function between data points and regional center, and updates the membership and the position of regional center iteratively, realizes the self-adaptation and space-time smoothing of regional segmentation, effectively captures the dynamic change characteristics in region.

The invention discloses an immersive three-dimensional simulation territorial space planning visual interaction system, and relates to the field of territorial space planning. Comprising a data acquisition and integration module, a three-dimensional modeling module, an immersive interaction module, a data analysis and decision support module, a multi-user cooperation module, a data updating and maintenance module, a security and authority management module, a system performance monitoring and optimization module, an intelligent recommendation module and a virtual image and social interaction module. Quantum remote sensing and low-altitude robot borrowing block chain guarantee data are fused, textures are generated by GAN based on meta universe and quantum calculation, a brain-computer interface and holographic projection immersive interaction are combined, quantum machine learning and causal diagram reasoning are fused, multi-person cooperation depends on a block chain platform, and data are updated by unmanned aerial vehicle swarms and edge calculation. And quantum encryption and zero-trust architecture security management are adopted. According to the method, data are accurately collected and integrated, a vivid three-dimensional model is constructed, immersive interactive experience is provided, scientific decision is assisted, multi-person cooperation is supported, and scientificity and efficiency of territorial space planning are comprehensively improved.

The invention discloses a deep reinforcement learning optimization method for injection molding process parameters, and belongs to the technical field of intelligent manufacturing. The method comprises the following steps: constructing a dynamic causal graph network through information entropy flow analysis and transfer entropy calculation, and revealing a causal relationship and time delay characteristics among process parameters; manifold learning is adopted to map a high-dimensional parameter space to a low-dimensional manifold, and Riemannian metric guide optimization search is constructed based on the quality gradient; generating enhanced state representation fusing causal association and manifold geometric information; identifying a production element state and selecting a corresponding optimization strategy; a geodesic line is planned in a manifold space to obtain an optimal parameter adjustment path; historical experience is utilized through memory retrieval and case adaptation; cross-task knowledge migration is realized; adopting a depth deterministic strategy gradient algorithm to optimize the decision; and online learning is realized through elastic weight consolidation. According to the method, the problems of black box decision, slow convergence, difficulty in knowledge reuse and the like in the prior art are solved, the optimization efficiency and the interpretability are improved, and the method has the capability of quickly adapting to new tasks.

The invention belongs to the technical field of geographic information, and discloses a city update planning scheme optimization method and system driven by a large language model, a terminal and a storage medium, and the method comprises the steps: obtaining multi-source heterogeneous data, carrying out site context interpretation according to the multi-source heterogeneous data, and generating site semantic representation; according to a semantic text input by a user, converting the semantic text into a planning parameter vector set by utilizing regulation constraints and the site semantic representation; based on the regulation constraints, the site semantic representation and the planning parameter vector set, generating a space planning scheme conforming to a city updating target; and performing multi-dimensional index detection, semantic interpretation and parameter feedback optimization on the spatial planning scheme based on an index evaluation and semantic feedback optimization large language model to obtain an optimized city update planning scheme. According to the method, the problems of disjunction between scheme generation and optimization and insufficient interactive interpretation in the prior art are effectively solved.

The invention relates to the technical field of dynamic simulation teaching, in particular to a dynamic simulation teaching system for urban and rural space planning, which comprises a data acquisition unit, an enhanced analysis unit and a multi-modal feedback processing unit. The method comprises the following steps: calculating the load deformation quantity of a component through a finite element algorithm, generating a ventilation efficiency cloud picture and a shadow coverage rate curve in combination with a computational fluid mechanics model and a ray tracing algorithm, analyzing a user operation instruction to trigger stress over-limit early warning, and realizing force feedback and multi-physics field data visualization through VR equipment. The problems of insufficient multi-source data fusion and lack of physical authenticity in traditional teaching are solved, dynamic physical verification and interactive teaching of a planning scheme are realized, and the planning decision ability and engineering practice cognition of students are improved.

Techniques for latent belief space planning include: during execution of an autonomous agent configured to control operation of a physical mechanism, obtaining a current observation of a physical environment; based at least on the current observation of the physical environment, generating a trajectory tree that represents possible trajectories in a belief space, wherein nodes of the trajectory tree represent values of a continuous observation, a continuous state, and a continuous control, each node being associated with one of multiple timesteps along the plurality of possible trajectories, and wherein branches from inner nodes to child nodes correspond to possible outcomes and observations of a multi-modal latent state; determining a current value of the continuous control associated with a current node; and applying the current value of the continuous control to operation of the physical mechanism.

The invention relates to the technical field of space planning, in particular to an intelligent optimization method for territorial space planning fusing multi-objective evolution. The method comprises the following steps: carrying out multi-modal territorial space characterization analysis on territorial space heterogeneous data to generate multi-modal territorial grid characterization space data; performing territorial multi-modal feature analysis processing on the multi-modal territorial grid representation spatial data to generate territorial planning unit multi-modal feature data; carrying out evolution trend analysis on the territorial planning unit multi-modal characteristic data to generate territorial planning unit evolution trend data; performing territorial space planning multi-target optimization strategy analysis based on the territorial planning unit evolution trend data to generate territorial space planning multi-target optimization strategy data; and carrying out multi-objective evolution territorial space planning intelligent optimization processing through the territorial space planning multi-objective optimization strategy data to generate territorial space planning intelligent optimization data. According to the invention, intelligent land and land space optimization planning is realized.

The invention provides a control detailed planning examination method and system, and relates to the technical field of territorial space planning, and the method comprises the steps: obtaining a conduction path of a plurality of conduction elements in a conduction process from overall planning to control detailed planning; decomposing the conduction elements into a plurality of divided detailed planning units to obtain a management and control basic library of each detailed planning unit; and constructing an automatic review rule based on the conduction path, and reviewing the compiled detailed control planning result by using the automatic review rule to obtain a detailed control planning review result. According to the method, the planning review objectivity can be improved, and the planning review efficiency and review accuracy are improved.

The invention relates to the field of decision support, in particular to a geographic information decision support method for territorial space planning. The method comprises the steps that the boundary of a planning area is determined, and the planning area is divided into grid units; multi-source geographic data are collected and subjected to standardization processing, normalized multi-source geographic data are obtained, and the basic ecological bearing capacity of the grid units is calculated; an ecological collaborative network is constructed, the basic ecological bearing capacity of the grid units is dynamically adjusted, and dynamic ecological bearing capacity is generated; and based on the dynamic ecological bearing capacity and the normalized multi-source geographic data, allocating partition types for the grid units. The problem that a traditional method neglects the comprehensive influence of different ecological factors on the bearing capacity of the grid unit is solved; the synergistic effect between the grid units is often neglected, and optimization is usually not carried out in a framework limited by ecological bearing capacity; and only single ecological benefit or economic benefit is considered, and comprehensive evaluation of ecological, economic and social benefits cannot be carried out.

The present invention is directed to a system and method for displaying interior design proposals for a given room according to known design principles and user preferences. The system is operative to convert user-input sketches and / or blueprints of two-dimensional space geometry into digital floor plans and identify and propose blocks of appliances and / or articles of furniture as design elements defined by their dimensions and any limiting characteristics. Each block is functionally and dimensionally appropriate for the floor plan based on user preferences, as filters, and floor plan limitations and may be defined by minimum space requirements, anchor point restrictions, and configuration restrictions. The system and method may further comprise visual tools for conveying a user's creative taste, style, and aesthetic for each floor plan, and be operative to display hyperlinked shopping lists in accordance with filtered blocks of design elements.

The invention belongs to the technical field of soil sampling, particularly relates to a soil inspection sampling device for territorial space planning and a use method of the soil inspection sampling device, and aims to solve the problem in the prior art that plants and gravel on land are often collected at the same time and need to be subsequently detached and selected by a worker independently and the following scheme is provided. The soil sampling device comprises a moving table, a moving plate is arranged above the moving table, a driving motor is fixed to the top of the moving plate, an output shaft of the driving motor rotationally penetrates through the moving plate and is fixedly provided with a sampling barrel used for collecting soil, and a round hole is formed in the top of the moving table and is used for giving way to the sampling barrel. According to the device, soil can be sequentially vibrated and scattered, soil with small particle sizes can be screened, plants and gravels on the ground can be cleaned, soil samples are prevented from being mixed with the plants and the gravels, the samples can be synchronously vibrated and scattered, the soil with the small particle sizes can be directly screened, operation is easy, the soil collection efficiency is greatly improved, and the later soil detection efficiency is further improved.

The present invention discloses a topographic survey system for territorial spatial planning, which relates to the technical field of topographic survey. It includes an acquisition area division module for collecting historical topographic maps of the area to be measured, calculating the topographic complexity of each topographic survey sub-area, and determining the measurement method for each topographic survey sub-area; a measurement environment analysis module for collecting environmental data of the topographic survey sub-area during the time when lidar collects data, calculating the environmental error coefficient, and issuing an environmental error warning; a data acquisition module using a drone equipped with lidar to measure the topographic data of the topographic survey sub-area, marking the fine measurement area, and performing two measurements of the topographic data to form complete point cloud data; a topographic data analysis module for generating a measurement topographic map, comparing the initial topographic map with the measurement topographic map, identifying the different parts, and outputting them as the changed areas of the territorial spatial planning. It can accurately identify the changes in the terrain and can more reasonably adjust and optimize the planning layout.

The invention relates to the technical field of geographic information measurement, in particular to a landform surveying method and system for territorial space planning, and the method comprises the steps: 1, carrying out the fusion preprocessing of multi-source data; 2, constructing a planning constraint dynamic rule base; 3, space-time constraint coupling analysis: taking the digital elevation model as a reference, and correcting the space offset of the land cover map through a thin-plate spline function; comparing the planning threshold value with the current landform parameter in real time, and marking a conflict coordinate set of gradient overrun or settlement overspeed; 4, intelligently segmenting the landform units; and 5, planning suitability output: setting a dynamic buffer distance according to the fault activity grade and the rock-soil body type, and generating an early warning layer when a town unit exists in a buffer area. According to the method, remote sensing images, laser radar point clouds and geological survey data are fused, space-time dislocation among various data sources is eliminated, and the precision of space analysis is improved.

The invention provides an ecological system carbon sink accounting method and system based on a territorial space planning target. The method belongs to the technical field of carbon income and expenditure, and comprises the steps: obtaining and integrating basic data of ecological system carbon sink accounting and territorial space planning, and constructing a high-precision territorial space database based on the basic data; dividing the research area into different types of land utilization units according to a territorial space planning target, and determining carbon sink key parameters of each type of land utilization unit; the method comprises the following steps: collecting and integrating basic data related to ecological environment and territorial space planning through multiple ways, and constructing a high-precision territorial space database containing various information such as remote sensing images, topography and landform, climate, land utilization status, vegetation coverage and the like; through parallel computing and resource optimization management, efficient data preprocessing and spatial overlay analysis are realized, and a solid data basis is provided for subsequent carbon sink accounting.

The invention relates to the technical field of land space planning, and discloses a territorial space planning multi-source data fusion decision support system, which comprises a data foundation and preprocessing module used for processing multi-source heterogeneous data related to territorial space planning; the macroscopic causal knowledge construction module is used for constructing a space-time causal map representing a macroscopic causal relationship among territorial space elements from a unified data basis; a coupling simulation and deduction execution module; the conflict perception and scene differentiation module is used for monitoring the consistency between the macroscopic trend and the microscopic behavior trend; the multi-scene toughness strategy evaluation module is used for receiving a planning strategy; and the model adaptive calibration module is used for comparing the deviation between the virtual data of the future space-time state and the real world observation data. The space-time causal atlas is fed back and updated by comparing simulation and reality deviations, closed-loop learning is formed, and the problems that macroscopic and microscopic disjunction occurs, and deep uncertainty is difficult to deal with are solved.

The invention discloses a homeland space planning data intelligent analysis method based on big data, and relates to the technical field of homeland space planning, and the method comprises the steps: collecting multi-source data, carrying out the quality screening, and forming a standardized data set. And setting a space element extraction rule based on a specific planning target, and mining key space elements from the standardized data. Constructing a big data analysis model, inputting key elements to calculate and obtain a spatial development tendency index, and generating a preliminary planning scheme according to the spatial development tendency index; and performing compliance verification on the scheme, generating evaluation data, and adjusting the scheme according to the evaluation data. And finally, performing space efficiency deduction calculation on the adjusted scheme, optimizing the scheme according to deduction result data, and outputting a final planning scheme. According to the method, the accuracy of data mining is improved through target-driven element extraction, and the perspectiveness and scientificity of a planning scheme are enhanced through dynamic efficiency simulation.

The application discloses a kind of based on qualitative and quantitative function evaluation's triculture space identification method, triculture space is divided into production, life, ecology 3 single spaces and production-life, production-ecology, life-ecology, production-life-ecology 4 compound spaces.Through calculating qualitative function evaluation value, calculating quantitative function evaluation value, calculating qualitative-quantitative function evaluation value, calculating first and last position index, judging triculture space type four steps are carried out to triculture space identification division, and the space type of correction maladjustment is utilized Coupling coordination degree.The application provides theoretical basis for land space structure and space layout optimization research, guides land space structure and space layout optimization, improves the rationality and scientificity of resource element configuration in land space planning, promotes land space pattern optimization development, with practical significance and good application prospect.

The invention provides a territorial space planning-based geographic information acquisition device, which comprises a triangular bracket, a mounting table is fixed at the top of the triangular bracket, a central seat is mounted on the mounting table, a first sliding groove is formed in the central seat, side seats are arranged on the two sides of the central seat, second sliding grooves are formed in the two side seats, and the first sliding groove and the second sliding groove are communicated with each other. The two second sliding grooves and the first sliding groove are located in the same plane, a pair of supporting cylinders is fixed to one side of each side base, a pair of supporting grooves are formed in the two sides of the center base, and the supporting cylinders extend into the supporting grooves, so that the side bases and the center base are assembled together. A sliding seat is slidably arranged in the first sliding groove, a placement table is fixed to the upper portion of the sliding seat, and a supporting shaft is movably arranged on the placement table, and the problems that a traditional tripod structure depends on tripod carrying during overall movement, and the height adjusting and locking reliability is insufficient are solved.

The invention discloses an underground public space planning-oriented multi-scenario simulation prediction method, which comprises the following steps of: analyzing a plurality of candidate influence factors influencing an underground public space life evolution process, dividing the candidate influence factors into a plurality of influence factor categories, and screening and determining a plurality of associated influence factors contained in each influence factor category; constructing an optimal interpretable machine learning model, and identifying a key feature factor and an influence weight corresponding to each influence factor category in combination with an SHAP algorithm; establishing an evolution prediction model based on the MAS model architecture, and performing parameter setting on the evolution prediction model according to a plurality of different preset target situations; and deploying the set evolution prediction model to a preset geographic information platform for simulation, and generating a spatio-temporal expansion change result of the underground public space. According to the method, accurate evolution simulation and prediction can be provided for optimization design of the underground public space in the face of complex environments and variable targets, and comprehensive decision support is provided for the actual development process.