241 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 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 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 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 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.

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 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 a land-sea overall land and land space planning method and system, and the method comprises the steps: collecting remote sensing data, marine environment monitoring data and basic geographic and social economic data of a research region, and carrying out the denoising, format conversion and time-space registration preprocessing of the data; fusing the preprocessed data by adopting an enhanced self-adaptive space-time reflectivity fusion model to generate a unified data set with high space-time resolution; constructing a three-level classification system based on the fused data set, carrying out land space suitability dynamic evaluation by adopting an adaptive weighting algorithm, and outputting a classification result and a suitability score; and taking the suitability scoring result as input, performing multi-objective optimization solution by adopting an improved non-dominant genetic algorithm, and generating and outputting a land-sea land space planning scheme. According to the method, the problem of differences of land and sea data in source, format, resolution and updating frequency is effectively solved, a unified space-time reference is established, and the data integration capability and the accuracy of a planning foundation are remarkably improved.

The invention relates to a natural resource asset management and territorial space planning system fusion method and system. The method comprises the following steps: encoding territorial space planning vector data and natural resource asset registration data to generate a space-time binding code; constructing a spatial topological graph and a time sequence diagram based on the codes, respectively extracting planning constraint feature vectors and asset dynamic feature vectors, and fusing the vectors to generate a planning asset coupling scoring matrix; recognizing a conflict unit set based on the planning asset coupling scoring matrix; based on the conflict unit set and a preset business rule base, performing classification processing on each conflict unit in the conflict unit set to obtain a conflict type; and based on the conflict type, generating a service execution instruction set through a preset reinforcement learning decision model. According to the method, through space-time unified coding and feature fusion processing, the accuracy of data association and the scientificity of decision making are improved, so that collaborative governance of territorial space planning and natural resource asset management is realized.

The invention provides a territorial space planning data monitoring evaluation method and system, and relates to the technical field of territorial space planning. The territorial space planning data monitoring and evaluation method specifically comprises the following steps: S1, inputting multi-source territorial space data into a space DNA encoder, and generating three types of gene vectors, namely a topographic gene T-Gene, an ecological gene E-Gene and a construction gene U-Gene, by taking a 30m * 30m grid as a basic unit. Territorial space evolution is converted into a digital model, and a traditional planning problem is solved; the space DNA folding improves the early warning sensitivity; a self-repairing strategy is accurately released; perspective of conflict hotspots is realized through a three-dimensional dynamic instrument panel; autonomous iterative optimization of the system provides a scientific operable normal form for sustainable development of territorial space.

The invention discloses a mountain urban traffic carbon emission calculation and optimization method fusing an economic structure and a geographic form. The method comprises the following steps: step 1) establishing a carbon emission driving factor relation equation; 2) calculating a weight coefficient of each driving factor; 3) constructing an optimization objective function considering policy cost and terrain adjustment; 4) setting a policy scene and a constraint condition; 5) calculating the carbon emission and policy effect of each scene, and 6) inputting the carbon emission and policy effect of each scene into an optimization objective function, and selecting an optimal policy combination according to an optimization objective function value. The method provided by the invention covers dimensions such as space planning, adaptive infrastructure and intelligent management, and provides practical guidance for low-carbon traffic transformation of mountainous cities.

The invention discloses a campus spontaneous activity layout optimization method coupling spatial features and behavior probabilities, and relates to the technical field of campus space planning, and the method comprises the following steps: dividing space units in an outdoor space, generating candidate points, superposing a clear pass width, fire evacuation, barrier-free and illumination constraints to form a constructable candidate point set, and carrying out the construction of the candidate points; gathering wireless network, access control, reservation and calendar data according to a space unit-time window; identifying a staying event based on the aggregated data, establishing a planned activity library, and deducting plan contribution according to space-time attenuation to obtain spontaneous activity observed quantity; constructing statability and risk features, and establishing a probability and intensity model to output a probability field, an intensity field and uncertainty; and under budget and constraint, combining with facility gain and influence attenuation to solve a facility combination packet point location, an output point location, a bill of materials and a check record, thereby reducing short-term peak misjudgment and improving layout implementability and safety compliance.

The invention discloses a project sea-use evaluation coordination method applied to an offshore wind plant, and relates to the technical field of ocean space planning, and the method comprises the steps: obtaining ocean function division, ecological sensitive area distribution and sea area development and utilization current situation data of a sea area where an offshore wind plant construction project is located, and carrying out the integration to obtain a sea area space data set; and analyzing project sea features based on the sea space data set to obtain a project sea feature sequence. According to the method, sea space data sets are integrated, multi-aspect information of sea function division, ecological sensitive area distribution and sea development and utilization situations is comprehensively analyzed, sea use characteristics of an offshore wind power plant project are accurately grasped, and on the basis, sea use types, modes, scales and layouts are scientifically managed and optimized, so that sea use of the project is more reasonable and ordered, and the sea use efficiency is improved. Therefore, the utilization efficiency of sea area resources is effectively improved, and efficient promotion of offshore wind power plant project construction is guaranteed.

The invention provides a trajectory planning method and device, a robot and a storage medium, and the method comprises the steps: determining an expected path of an end effector according to a given pose path point sequence, carrying out the path segmentation of the expected path, obtaining a plurality of path segments, carrying out the correction of the speeds of the path segments under the condition that the speeds corresponding to the path segments are discontinuous, and carrying out the correction of the speeds of the path segments. The speed corresponding to the corrected path segment is continuous, performing acceleration and deceleration planning on the speed corresponding to the corrected path segment, generating a Cartesian space trajectory, sampling the Cartesian space trajectory, determining a parameter sequence of a sampling point, and determining the speed corresponding to the corrected path segment according to the parameter sequence of the sampling point. And converting the parameter sequence of the sampling points into a parameter sequence of a joint space, performing joint space planning according to the parameter sequence of the joint space, and generating a target control trajectory.

The invention provides an alignment method for territorial space planning multi-modal data, and belongs to the technical field of big data processing.The alignment method comprises the steps that a quadtree structure is adopted to segment a remote sensing image, a three-dimensional index is established, a graph segmentation algorithm is utilized to divide vector data space subgraphs, a space-time weight matrix fusing space weight, time weight and credibility weight is constructed, and the three-dimensional index is established; inputting the preprocessed multi-modal data into a multi-modal semantic fusion model comprising a residual neural network, a bidirectional encoder and a graph convolutional network to extract a unified semantic representation vector, identifying conflict data by calculating semantic similarity, constructing a rule priority directed graph, and calculating a rule importance score by adopting a random walk algorithm; and executing the conflict resolution rule according to the priority and outputting the aligned data set. The technical problem that efficient alignment of the multi-source heterogeneous territorial space planning data on the semantic level is difficult to realize is solved.

The invention relates to a natural resource asset management and territorial space planning system fusion method. The method comprises the following steps: acquiring a multi-source heterogeneous data set of a target area to perform ownership space integrated processing, and generating a three-dimensional ownership fusion result reflecting a natural resource three-dimensional attribute and a planning constraint coupling state; performing dynamic value analysis on the three-dimensional ownership fusion result by adopting an improved LSTM fusion random forest algorithm to obtain an asset value driving parameter set; and then inputting the asset value driving parameter set into the trained territorial space planning model to generate candidate schemes, and finally screening and determining an optimal territorial space planning scheme based on a preset rule. By adopting the method, dynamic collaboration and closed-loop optimization of natural resource management and space planning can be realized.

The invention relates to the field of cloud computing, and particularly discloses a territorial space planning data processing method and system based on cloud computing, which support massive heterogeneous data processing by means of the powerful capability of a cloud computing platform, and convert multiple types of original data into standardized feature vectors through unified feature engineering. The key is to introduce an advanced semantic mapping model and an entity alignment model. The semantic mapping model can deeply mine and understand deep semantic association among different data source feature vectors, effectively bridges a semantic gap, and judges whether to establish a mapping relationship or not. Meanwhile, the entity alignment model focuses on analyzing feature vectors, identifies whether different source data point to the same real world object or not with high precision, and solves the problem of data redundancy and inconsistency.

The invention relates to the technical field of territorial space planning, and discloses an urban and rural space collaborative layout optimization method and system.The urban and rural space collaborative layout optimization method comprises the steps that multi-source heterogeneous space data is obtained and preprocessed; urban and rural space elements are intelligently identified and accurately extracted; quantitative evaluation is carried out on the collaborative development level of the urban and rural space; carrying out space unit division and carrying out preliminary classification on each unit; solving an optimal configuration scheme of urban and rural spatial layout; development demand changes are predicted, different policy scenes are designed for scene simulation, and layout optimization is executed again on each scene; carrying out comprehensive evaluation and intelligent screening on the multi-scene dynamic optimization scheme; according to the invention, deep fusion of multi-source heterogeneous data and high-precision intelligent identification of urban and rural space elements are realized.