380 results about "Space planning" patented technology

The invention discloses a territorial space planning environment influence monitoring method and device. The method comprises the following steps: collecting and preprocessing multi-source environment monitoring data; performing spatio-temporal feature extraction on the preprocessed multi-source environment monitoring data by using a self-supervised spatio-temporal diagram mask transfer attention network to obtain initial spatio-temporal features; performing fusion processing on the initial spatial-temporal characteristics based on a multi-mode diffusion converter to obtain fusion characteristics; calculating an environmental impact evaluation index based on the fusion feature; and based on a preset visualization template and an early warning rule, generating a dynamic monitoring result including a space-time evolution diagram, a trend analysis diagram and early warning information according to the environmental influence evaluation index. Through deep learning and multi-modal data fusion technologies, the precision and efficiency of environmental impact monitoring are improved, and accurate evaluation and timely early warning of environmental impact in the land space planning implementation process are realized.

The invention relates to the technical field of container models, in particular to a container model construction method based on three-dimensional software. The method comprises the following steps: obtaining point cloud data of a container through three-dimensional laser scanning, carrying out feature subdivision to generate a container feature set, carrying out space positioning on features to obtain a vertex coordinate set, carrying out geometric constraint modeling based on the vertex coordinate set, forming a container skeleton model, obtaining a target cargo image, extracting a basic contour, and carrying out feature extraction; the method comprises the following steps: carrying out three-dimensional reconstruction to generate a cargo model, carrying out space planning on a container skeleton based on the model, calculating gravity center distribution to generate a cargo balance parameter, then carrying out interference simulation and conflict detection to obtain interference conflict data, positioning a conflict focus area, and finally carrying out variant design on the container skeleton according to the conflict area. And generating an adjusted container model. According to the invention, a more comprehensive and more accurate container model construction method is realized.

The invention relates to the technical field of data evaluation, in particular to a territorial space planning data monitoring and evaluation method and system. The method comprises the following steps: acquiring a territorial space GIS remote sensing image; performing regional plot segmentation on the territorial space GIS remote sensing image to generate a territorial space segmented plot map; performing infrastructure space layout screening on the territorial space segmentation plot map to obtain a territorial space infrastructure space layout map; performing intelligent equipment operation data acquisition on the land space infrastructure space layout map to obtain a regional intelligent equipment operation data set; and performing intelligent equipment coverage rate calculation on the regional intelligent equipment operation data set to obtain intelligent equipment coverage rate data. By integrating the GIS remote sensing image, the intelligent equipment data, the environment data and the digital twinborn technology, comprehensive, real-time and accurate territorial space planning data monitoring and evaluation are realized, and the scientificity and effectiveness of planning optimization are remarkably improved.

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 a land utilization collaborative evaluation method based on territorial space planning, relates to the technical field of territorial space planning, and solves the technical problem that errors are further caused to overall evaluation due to lack of a unified index system and a unified standard. According to the method, the land is classified according to the corresponding land utilization index, the abnormal utilization land obtained through classification is analyzed, the resource environment bearing value and the land space development adaptive value of the abnormal utilization land are analyzed, and the abnormal utilization land and the normal utilization land are compared with each other, so that the utilization rate of the abnormal utilization land is improved. The method further determines the specific cause of the abnormity corresponding to the abnormal utilization land according to the abnormal parameters of the corresponding comparison, carries out the corresponding collaborative analysis in combination with the data information of the normal utilization land, carries out the corresponding evaluation through the unification of an index system, the unification of a standard and the combination of the data, and reduces the overall evaluation error.

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 is suitable for the technical field of ecological space planning, and provides an ecological protection priority area identification method considering time dynamics, which comprises the following steps: acquiring spatial distribution data of a research area and preprocessing the spatial distribution data; selecting ecological system service indexes, and evaluating and standardizing the indexes according to the preprocessed data; calculating the importance of the standardized index values in an equal weight superposition mode and performing standardization processing; calculating an ecological system service urgency index; performing cold and hot spot analysis on the ecological system service urgency index, extracting a cold spot region, determining a minimum area threshold by using a piecewise linear regression method, and extracting plaques greater than the minimum area threshold as an ecological protection priority region. According to the method, the ecosystem service urgency index is constructed through the ecosystem service importance of multiple time sequences, the problem that the change of the ecosystem service function along with time in the prior art is ignored is effectively avoided, and the method has important significance for promoting the sustainability of regional ecological protection planning.

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 an intelligent management method and system for territorial space planning and a storage medium, and relates to the technical field of space planning, the method adopts a geographic information system (GIS) and multi-source information such as remote sensing data and satellite data to carry out three-dimensional modeling, and an efficient and accurate data support platform is provided for urban space planning. On the basis, environment data, traffic flow data and social influence data of urban areas are collected and integrated in real time by combining an API interface and an urban related system, and comprehensive real-time dynamic data support is provided for decision making. Through real-time simulation and data input, a planner can evaluate potential conflicts and problems among different urban space areas more visually and more accurately, a planning scheme is adjusted in time, and errors and low efficiency caused by information lag or incomplete data in traditional planning are avoided. By implementing the method, the urban planning cycle can be remarkably shortened, and the efficiency and scientificity of planning decision making 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 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 method for planning a space in an assembled transformer substation based on a BIM model, and relates to the technical field of digital simulation, and the method comprises the following steps: obtaining a three-dimensional BIM model; performing digital analysis on the activity space of the construction equipment in the transformer substation, and calculating the optimal activity range of the equipment by using a space utilization rate algorithm; determining an optimal layout and an advancing path by using a space utilization rate algorithm; generating an installation scheme and a construction path plan of the construction equipment; and performing scheduling management on the construction equipment based on the optimized construction scheme. Through a space utilization rate algorithm based on a BIM model, the technology can intelligently calculate the optimal number and model of equipment, optimize the activity range and advancing path of the equipment, reduce equipment redundancy and conflicts, improve the construction efficiency, reduce the construction cost, ensure the controllability of the construction progress, quality and safety through real-time feedback and dynamic adjustment, and improve the construction efficiency. And the utilization rate of construction resources and the overall construction management level are remarkably 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 soil sampling, and mainly relates to a soil geographic information acquisition device for territorial space planning. Comprising a base, the base is detachably provided with a supporting frame, the supporting frame is provided with a driving motor and a driving push rod, and the telescopic end of the driving push rod is rotationally connected with a transmission shaft; the inner cylinder is fixedly connected to the lower end of the transmission shaft, and first protrusions distributed at intervals are fixedly connected to the lower side of the inner cylinder; the mounting plate is connected to the transmission shaft in a sliding mode, and a first elastic piece is fixedly connected between the inner cylinder and the mounting plate; and the outer cylinder is rotationally connected to the mounting plate, and second protrusions distributed at intervals are fixedly connected to the lower side of the outer cylinder. The tree roots are fixed through the outer cylinder and the second protrusions, the moving probability of the tree roots is reduced, shearing force applied by the first protrusions fully acts on the tree roots, the tree roots cannot deflect relative to the first protrusions, and the distribution state of soil in the inner cylinder is guaranteed.

The invention discloses a territorial space planning scheme automatic generation system based on artificial intelligence, relates to the technical field of territorial space planning, and aims to solve the technical problems that a current system is difficult to construct a reasonable regional framework, land evaluation is not comprehensive enough, and reliable data support is difficult to provide for territorial space planning. Comprising a scheme generation model construction module. According to the invention, the target region is segmented into a plurality of regional regions through the segmentation and division unit, and a clear regional architecture is constructed; the feature extraction unit deeply excavates the land features of each region and comprehensively evaluates the land; element values of a land utilization intensity matrix are calculated through the matrix, so that the precise land utilization intensity matrix is generated, and data support is provided for territorial space planning. According to the method, a reasonable regional framework is established through map segmentation, the land value is comprehensively evaluated through feature extraction, meanwhile, the land utilization intensity matrix is determined, and reliable data support is provided for planning through the matrix.

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 provides a territorial space planning implementation monitoring network CSPON platform security system and method and a medium. The system comprises a space planning network platform entry module, a territorial space planning picture selection module and a picture downloading processing and downloading module. The space planning network platform entering module is used for entering a space planning network platform; the territorial space planning picture selection module is used for selecting territorial space planning pictures after entering the space planning network platform; and the picture downloading processing and downloading module is used for downloading the selected territorial space planning picture after carrying out picture downloading processing on the selected territorial space planning picture. According to the invention, the security of downloading the territorial space planning picture selected in the space planning network platform can be realized.

The invention discloses a user space planning and recommendation system and method based on analog simulation, and relates to the technical field of route planning, and the recommendation method comprises the following steps: generating a corresponding three-dimensional model for the space information of a scenic spot; tracking the coordinate position of the authorized user to form a playing record; randomly selecting one playing record, extracting the generation time of the playing record, and identifying a plurality of congestion points of the scenic spot; when a target area is input every time, generating a route recommendation sequence of the certain authorized user based on the congestion point distribution condition and the route selection condition included in each playing route; the method comprises the following steps: acquiring an area where a certain authorized user is located in real time, acquiring position distribution conditions of other authorized users, judging whether to adjust a playing route of the certain authorized user or not, and if the playing route changes, performing route replacement reminding and pushing the adjusted route.

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.