151 results about "Space planning" patented technology

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 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 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 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 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.

The invention relates to a virtual reality assisted building space planning method and device, equipment and a medium. The method comprises the following steps: constructing a three-dimensional virtual reality space based on initial design data of a building, and generating a virtual scene; performing physical environment attribute mapping on the three-dimensional scene to generate a virtual space with physical environment attributes; the method comprises the following steps: synchronously accessing a plurality of user terminals into a virtual space to obtain behavior track data and interactive behavior data of a user; analyzing the interactive behavior data to generate user feedback data, and performing environment performance simulation analysis according to the behavior track data to generate an analysis result; and adjusting the initial design data based on the user feedback data and the environmental performance analysis result, and generating an updated building space planning scheme. By adopting the method, accurate optimization and adjustment of the building space can be realized, and the scientificity of space planning and the user experience are improved.

The invention provides an automatic compliance review method and system for territorial space planning based on a knowledge graph, and relates to the technical field of data processing, and the method comprises the steps: constructing a graph processor, processing a territorial space planning scheme, constructing a planning field based on the territorial space planning scheme according to a field processor, and carrying out the automatic compliance review of the territorial space planning scheme. The layered planning map and the planning field are transferred to a digital reviewer, two-stage digital review analysis is executed, a territorial space planning review report is generated, and the two-stage digital review process comprises local conflict field positioning based on the planning field and multi-round information transmission reasoning based on the layered planning map; and carrying out popup display on the territorial space planning review report. The technical problems that in the prior art, a territorial space planning scheme has limitation and lacks intelligent review ability of planning experience, rules and the like, and comprehensive and accurate analysis of the planning scheme is difficult to achieve are solved. The technical effects of automatically examining the territorial space planning scheme and improving the examining efficiency and accuracy are achieved.

The present application relates to the technical field of ecological restoration scene modeling, in particular to an ecological restoration scene modeling method and system platform applied to land space planning, comprising the following steps: based on successful ecological restoration technical scheme cases and land units to be restored.The present application realizes modeling in data source selection granularity and expression dimension by normalizing the multi-dimensional attributes between successful ecological restoration technical scheme cases and land units to be restored, constructing source-target land feature fingerprint sets, and combining annual mean temperature, precipitation, soil type, pH value, altitude, native vegetation type and labor cost and other specific attributes.Further, by setting importance coefficients according to the influence degree of each dimension in historical restoration success cases, the present application guides feature difference weight calculation, and obtains technical migration adaptation score by combining normalized difference value calculation, thereby establishing a quantifiable source land adaptation capability evaluation index, and breaking the original limitations of relying on experience judgment.

The invention discloses a robust measurable modeling method fusing three-dimensional reconstruction and geographical registration, and belongs to the technical field of three-dimensional modeling. The method comprises the following steps: acquiring source point cloud data generated by three-dimensional reconstruction and target point cloud data with geographic coordinate reference; initial registration is completed based on a Umeyama algorithm; performing iterative optimization on the initial transformation parameters by adopting a Meishan-iterative reweighted least square-Huber weight algorithm, realizing geographic registration through robust standard deviation estimation, Huber weight distribution and convergence judgment, and generating a measurable geographic space three-dimensional model; volume calculation, distance measurement and spatial analysis can be performed based on the model. According to the method, noise and abnormal point interference are suppressed through a robust iterative optimization mechanism, the registration precision is high, the generated model has unified geographic coordinate reference and high-precision measurement functions, the problems that a traditional three-dimensional model lacks geographic reference and is poor in noise immunity are solved, and the method can be widely applied to scenes such as engineering surveying and mapping and space planning.

The invention relates to the technical field of industrial space planning, and particularly discloses an intelligent industrial space planning layout method, which comprises the following steps: collecting multi-dimensional data and preprocessing to form a standardized data set; constructing an evaluation model to output an industrial suitability score and a space bearing capacity grade; constructing a planning model by taking multi-objective maximization / minimization as a core, and solving to obtain a Pareto optimal solution set; an optimal scheme is screened through multi-scene simulation verification, and iterative optimization is carried out if the optimal scheme does not reach the standard; operation data is dynamically monitored after landing, and scheme adjustment is triggered when deviation exceeds the limit. According to the method, multi-source data are fused, subjective judgment is converted into quantitative analysis, collaborative optimization of economic benefits, social benefits and ecological benefits is achieved, planning scientificity and adaptability are guaranteed, dynamic optimization of the whole life cycle is achieved, and high-quality development of the industrial space is promoted.

This application discloses a method for inspecting spatial data of territorial spatial planning, belonging to the field of territorial spatial planning information management technology. It includes: preprocessing territorial spatial planning data to obtain standardized spatial data; determining the upper bound parameter of overlay error and generating dynamic tolerance parameters based on the scale or resolution information of the standardized spatial data; organizing the standardized spatial data into blocks to obtain a spatial index structure; performing spatial conflict detection based on the standardized spatial data and spatial index structure, and filtering false conflict results according to the dynamic tolerance parameters to obtain conflict detection results; performing rule matching and reasoning on the conflict detection results based on a pre-constructed policy rule knowledge graph to obtain rule matching and reasoning results; and structurally expressing the rule matching and reasoning results, generating result versions and establishing version associations.

1. Name of the product in this design: Terrain Surveying Aircraft. 2. Purpose of this design: UAV used for topographic surveying in land spatial planning. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The invention relates to the technical field of territorial space planning, in particular to an ecological management zoning method based on ecological system service supply and demand evolution. The method comprises the following steps: acquiring supply source data and demand sink data of ecological system service of a target area; acquiring space obstacle data of the target area; based on the supply source data and the demand sink data, identifying a pollination transmission path in the target area in combination with the space obstacle data; calculating the service flow intensity between the supply source and the demand sink according to the pollination transmission path, and generating a service flow intensity distribution map; and based on the service flow intensity distribution diagram, evaluating the supply and demand matching degree of the ecosystem service of the target area, and determining a supply and demand matching diagram. According to the method, the situation that the cut-off farmland is mistakenly judged as the high-matching area due to neglect of physical obstruction is fundamentally avoided, and the space credibility of an ecological management zoning result is remarkably improved.

The invention discloses a protective data acquisition device special for territorial space planning, and relates to the technical field of data acquisition, the protective data acquisition device comprises a support table and an acquisition device, the acquisition device is installed on the upper part of the support table, the bottom of the support table is rotatably connected with a plurality of support legs, and the support table is provided with a protective assembly. The protection assembly comprises an air bag installed on the inner side of the supporting table, an inflation device installed at the bottom of the supporting table, a plurality of protection plates rotationally connected to the side face of the supporting table, an annular plate installed on the upper portion of the air bag, and a limiting unit jointly arranged between the protection plates and the annular plate. According to the invention, through the arrangement of the protection assembly, when the collection equipment topples over, the protection plates are used in cooperation with the air bags, the air bags are used in cooperation with the air bags, so that the collection equipment is prevented from falling down, and the collection equipment is prevented from falling down; and the collection equipment is effectively protected from impact force generated by serious damage, dispersion and dumping.

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 relates to the technical field of territorial space planning, and discloses a priority decision-making method for land utilization collaborative optimization in territorial space planning, and the priority decision-making method comprises the following steps: setting a multi-dimensional target of land utilization planning, and recognizing a corresponding constraint condition; building a Bayesian network model, recognizing target conflicts through a dynamic sensing technology, and dynamically updating and generating priority weights of all targets; constructing a three-dimensional geographic information model based on the multi-source geographic space data; in combination with big data analysis and a deep learning algorithm, natural disaster risks are evaluated, a high-risk area is delimited, and a comprehensive treatment scheme is designed for the high-risk area; according to the priority weight of each target and the comprehensive treatment scheme, making a plurality of land utilization planning schemes; and screening the scheme with the highest score as the optimal land utilization planning scheme. According to the invention, the comprehensive optimization of economic, ecological and social benefits and the continuous adjustment capability of planning are ensured.

The invention relates to the technical field of artificial intelligence and territorial space planning, in particular to a CSPON agent construction method, which comprises the following steps: S1, based on a general large language model, analyzing a natural language instruction and generating a structured task chain through a field fine tuning and retrieval enhancement generation technology; through the combination of the TIM model and the general large model, the mapping relation of policy text-space coordinates is realized, and the recognition precision of the large model for understanding professional problems is improved.

The invention relates to the technical field of soil remediation, and discloses an ecological remediation device and method based on territorial space planing.The ecological remediation device comprises a remediation vehicle, a feeding port and a water tank, the feeding port and the water tank are arranged at the top of the remediation vehicle, the water tank is fixedly connected to the top of the remediation vehicle, and one end of the remediation vehicle is fixedly connected with a sorting box and a material uniformizing assembly; the hydraulic cylinder is arranged in the repairing vehicle; through use of a material uniformizing assembly, biochar falls to the top of a material uniformizing plate, a water suction pump pumps out water in a water tank through a water inlet pipe, and then the water enters a water distribution disc through a water outlet pipe, so that water flow drives a rotating rod to rotate through arc-shaped blades, and the rotating rod drives a sliding plate to move through a first cam; when the sliding plate moves, the first spring is driven to be compressed through the extension rod, when the first cam does not make contact with the sliding plate, the first spring is restored to the initial state, the biological carbon is evenly spread on the top of the soil through shaking of the material uniformizing plate, and therefore the uniform spreading effect is achieved.

The present application relates to the technical field of data processing and decision support, and particularly relates to a land consolidation intelligent monitoring method and system fusing spatial planning and multi-source perception. The method comprises the following steps: S1: acquiring land consolidation demand data and land monitoring demand data, and dividing the land consolidation demand data into first land consolidation data and second land consolidation data; S2: respectively calculating the correlation degree and lag degree between the first land consolidation demand data, and correcting the land monitoring demand data; S3: acquiring the land monitoring demand data of the second land consolidation demand data, determining the core monitoring demand, and correcting the land monitoring demand data. The present application divides the land consolidation demand into two categories of ownership dislocation and attribute gap, dynamically adjusts the monitoring frequency, extracts the core demand through clustering, and corrects in reverse, fuses multi-source data to generate an optimized monitoring scheme, forms a closed loop feedback, and improves the monitoring adaptation accuracy and intelligent level.