27 results about "Urban space" patented technology

This invention discloses a method for updating the reachability of urban living circles based on spatial monitoring results, specifically relating to the fields of spatial monitoring and urban spatial computing. The method includes acquiring current monitoring results, previous monitoring results, pedestrian road networks, community entrances and exits, and service points. In edge computing nodes, each access-related element is compared according to its location correspondence. Newly added elements are recorded as new elements, and missing elements are recorded as invalid elements, generating a status change table. The status change table and pedestrian road network are read, and the access connections corresponding to the newly added elements are connected to the pedestrian road network. By comparing the current and previous monitoring results item by item, and performing localized recalculation and result write-back after generating the status change table in the edge computing nodes, locally closed areas can be promptly removed, and locally restored areas can be promptly added, thus ensuring that the dynamic reachability corresponds to the actual affected areas.

This invention provides a method for urban disaster simulation and facility layout optimization that integrates multi-source data, relating to the field of urban disaster prevention and mitigation technology. The method includes: acquiring multi-source data of the study area; fusing the multi-source data to generate a basic dataset; constructing an urban disaster simulation model based on the basic dataset to obtain a spatiotemporal distribution map of disaster risk; calculating the urban spatial vulnerability index and emergency facility service effectiveness index for each spatial unit based on the spatiotemporal distribution map and the basic data; constructing a comprehensive resilience assessment function based on the two indices, and establishing a facility layout optimization model with the objective of maximizing the comprehensive resilience value; solving the model using a heuristic optimization algorithm to obtain and output the optimal facility layout scheme. This invention, by integrating multi-source data, dynamic disaster simulation, and resilience optimization, achieves accurate assessment of urban disaster risk and scientific layout of emergency facilities, effectively improving the city's comprehensive disaster prevention and mitigation capabilities.

A method for deformation control during near-construction in deep urban spaces is proposed, which can effectively control the impact of new structural construction on the surrounding environment and existing structures. Its applicable depth can be extended to depths of 50m. Based on the main structural types in deep urban spaces, namely tunnels and deep shafts, targeted deformation control measures for near-construction are proposed. The full-process deformation design method not only covers the entire life cycle of the project—including resource exploration, design, construction, and operation and maintenance—but also involves all near-construction objects, such as new structures, soil and rock masses, and existing structures, making the method systematic and comprehensive. This design method is applicable to deep spaces, capable of controlling deformation based on the near-construction type of deep structures, and possesses the characteristics of controlling the entire life cycle of near-construction projects and all participating objects. It can be widely applied in near-construction projects in deep urban spaces.

This invention relates to the field of spatiotemporal data processing technology, and discloses a method, system, terminal, and storage medium for predicting multi-dimensional urban indicators based on semi-supervised learning with small samples. The method includes: extracting visual, textual, and structural features of urban space using a three-branch encoder, and generating a unified urban region representation vector using a multimodal fusion mechanism; subsequently, constructing a semi-supervised collaborative computing framework that integrates a heterogeneous neural network model and an ensemble tree model as a regressor; and, under conditions of a small number of labeled samples, using an alternating pseudo-label generation and four-fold pseudo-label selection mechanism, performing semi-supervised augmentation training on the model with massive amounts of unlabeled data to improve the accuracy of spatiotemporal data labeling. This invention significantly reduces the dependence on labeled data and achieves high-precision labeling prediction across multiple dimensions of urban indicator calculation.

The application discloses a kind of urban waterlogging resilience evaluation methods based on multidimensional index and coupling model, belong to urban waterlogging prevention and resilience assessment technical field.The method includes: building the resilience evaluation index system covering three dimensions of city space, lifeline engineering and rapid recovery;Establish a two-dimensional coupled hydraulic model, simulate different rainfall scenarios, output dynamic waterlogging parameters;Using comprehensive weighting method and TOPSIS model to quantify the resilience score of each spatial unit;Identify low resilience aggregation area and locate key impact indicators;According to the identification results, targeted improvement measures are developed, and the effect of the measures is verified by the coupling model closed loop.The application solves the problems of one-sided index system, lack of dynamic simulation and lack of governance closed loop in existing evaluation methods, and realizes high-precision, dynamic evaluation and scientific optimization of urban waterlogging resilience.

The application relates to the technical field of smart city living decision support, and particularly discloses a city space trade-off method and system. The official data is processed by a three-level cascading algorithm engine to solve core decision problems: first, a living cost safety interval dynamic generation engine calculates and outputs candidate regions and cost safety intervals that are matched with the income of a user and are financially sustainable based on the income of the user and official fluctuation housing price and rent data through an income and debt stress test model; then, a region convenience resilience index calculation engine accesses time sequence traffic and facility load data, quantifies the public service accessibility and service resilience of each candidate region in different time periods through a space-time accessibility resilience model, and generates a convenience resilience index; finally, a long-term living risk pre-evaluation engine mines future city planning policy texts, predicts the probability and level of negative drift of the living attributes of each region by using a risk transmission model, and generates a final recommendation list with risk warnings.

The application discloses a kind of city space disarray measure method based on street view big data and deep learning, belong to city management and information technology field, including: obtaining original street view image sequence from street view database, extracting initial disarray element features in image, calculating the local disarray index of single image;High-risk image is identified, and the local disarray index of high-risk image is aggregated, to determine the area disarray measure value of block level;Extract common features, and induct typical disarray mode category, construct mode knowledge base;Based on the time series street view image sequence of the same place, get the evolution trend sequence, match with the typical disarray mode category in mode knowledge base, and generate disarray evolution prediction result when matching degree is higher than preset threshold value;Early warning mechanism is triggered for disarray evolution prediction result, and output early warning signal.The application realizes the whole-link accurate measurement of city space disarray from static identification, dynamic analysis to active early warning.

This invention discloses a multi-dimensional fuzzy flood risk identification method for urban spatial objects, belonging to the technical field of urban risk assessment. It includes: classifying urban spatial objects into three categories, assigning each category a unique spatial identifier with coupled coding and a flood status label; analyzing and identifying the relationships between the three categories of spatial objects to construct an object association structure; selecting key associated object pairs from the object association structure and clarifying the risk impact weight of each object in the key associated object pair; constructing a multi-dimensional risk assessment index system by combining the flood status label, the object association structure, and the selection results of key associated object pairs; and using a fuzzy comprehensive evaluation model to calculate the comprehensive risk assessment value of the key associated object pairs based on the multi-dimensional risk assessment index system and mapping it to a flood risk level. Combining the risk impact weight and object value parameters, the corresponding loss level is determined through a loss degree quantification model. This invention solves the problem of fuzzy risk identification caused by the crude classification and chaotic labeling of traditional methods.

The application discloses a kind of automatic extraction method and system of residential space form typical mode, belong to city space form calculation and environmental wind field and pollution diffusion assessment technical field.The method includes: obtaining residential boundary, building contour and layer information, constructs raster data set;Closed operation is implemented to building grid and hole is filled, and minimum continuous enclosing contour is generated by selecting minimum connected radius;Open operation is extracted to open place space using multi-scale, and enclosed building is deduced;Based on multi-wind direction and three height slices, the windward front edge is automatically identified, the windward interface density, the line rate and the gap distance are calculated;After the form index is grouped and pre-clustered, the CLIQUE subspace clustering algorithm is used to output the typical mode and its minimum feature description.The application can output parameterized geometric template, which is used for wind field and pollution diffusion simulation selection, and has interpretability and batch processing efficiency.

This invention belongs to the field of urban renewal technology and discloses a method, system, equipment, and medium for predicting the evolution of urban spatial renewal. It constructs a three-level nested renewal prediction unit system (macro, meso, and micro) to adapt to the multi-scale transmission logic of urban renewal. Simultaneously, it collects six categories of multi-source heterogeneous data covering both explicit and implicit influence dimensions. Based on ontology, it builds a full-element knowledge graph to achieve structured and correlated storage of renewal elements, realizing the linkage between the overall urban development goals and land renewal behavior. This makes the capture of renewal influencing factors more comprehensive and reduces prediction bias caused by missing elements and scale discrepancies. Furthermore, it constructs a dual-track driving factor system of rigid constraints and flexible drives, clarifying the boundaries and roles of the two types of factors. Through professional models, it analyzes the hierarchical transmission relationship of factors and selects core driving factors. It also fits the factor weight differences for four mainstream renewal models and constructs a three-level collaborative prediction framework with an embedded dual-constraint operation mechanism.

This invention provides a device and method for creating digital scenes in urban micro-environments, belonging to the field of AR urban technology. The device is a terminal, and its system integrates various modules. The method is implemented based on these modules, including collecting heat map data, environmental data, and user data through a positioning module and an urban spatial data perception and acquisition module, and generating scene instructions based on the data; generating and encapsulating digital materials through an AIGC generation and decision-making module with a built-in generative large model; downloading digital materials through an AR interaction and dynamic rendering module and overlaying each material in real time at corresponding locations to form an AR scene, which the user interacts with through the terminal; the interactive data serves as new input to optimize the subsequently generated scene instructions, forming a self-evolving closed loop. This invention overcomes the shortcomings of traditional AR guide systems, which have fixed content and rigid formats, and can flexibly adjust content strategies according to pedestrian density and environmental changes, greatly improving the interactivity and immediacy of the scene.

The application provides a regional physical space boundary generation method based on multi-dimensional index analysis, relates to the technical field of regional boundary generation, extracts urban correlation data from national space data, obtains initial urban space range and target regional polygon class vector data, judges whether the data meets preset urban mandatory class judgment rules and class combination compatibility verification and whether the data meets preset urban candidate class judgment rules, further verifies urban core function bearing, obtains a polygon set of a region range to be divided into an urban entity, performs multi-round iteration optimization update, performs iteration characteristic quantization analysis on the multi-round iteration optimization update data, triggers an iteration termination condition according to a range convergence characteristic analysis result, further performs boundary topology consistency verification and dynamic update on the urban entity region range after iteration update, and realizes the automation of the urban entity region range, so that the pertinence and accuracy of the division are improved.

The application discloses a kind of urban space visual culture heritage element perception evaluation algorithm based on deep learning, comprising the following steps: S1: multi-source heterogeneous data acquisition and pretreatment: the multi-source data of target city space is collected, and data at least includes sub-meter resolution optical remote sensing image, close-range or panoramic street view image, space-time history map and text description data containing cultural semantics;Geometric correction, space-time registration, data fusion and enhancement preprocessing operation is carried out to the data, and the standardized three-dimensional space-time data set is constructed.By first systematically introducing cross-modal deep learning into the field of urban visual cultural heritage evaluation, the abstract concept of "intangible perception", which has long relied on subjective feelings, is transformed into objective indicators that can be calculated and compared through mathematical models.This fundamentally solves the core problem of subjectivity of traditional methods.The evaluation process is like "chemical analysis", which decomposes complex "cultural perception" into measurable "elements".

The application relates to the technical field of municipal infrastructure planning, and discloses a green and safe intelligent municipal infrastructure planning index system construction system, which comprises a framework reorganization module that receives multi-source municipal infrastructure original data, divides and constructs a directed spatial topology network according to physical properties; a double-evaluation diagnosis module that divides a city space into a calculation grid and calculates a present situation gap value; an index system configuration module that configures a quantitative index set containing a constraint subset and an expected subset and corresponding threshold values; a double-control strategy generation module that generates a planning strategy according to a comparison between the present situation gap value and the threshold values and converts the planning strategy into an initial spatial coordinate set; a conflict resolution module that detects three-dimensional space conflicts, generates an alternative space displacement scheme, calculates a score in combination with a dynamic weight, selects a highest-score scheme to update three-dimensional coordinates and a network; and a spatial data convergence and output module that binds data attributes and generates a management and control data model. The application realizes three-dimensional space overall planning of cross-professional facilities and automatic conflict avoidance.

The application discloses a kind of informal urban public space identification method based on multi-source big data, comprising: obtaining the multi-source data of the research area where the informal urban public space to be identified is located, and the type information of the informal urban space to be identified;The first basic feature corresponding to the undemarcated property characteristics and the basic characteristics is obtained by processing multi-source data, and the second basic feature data corresponding to the public nature of the informal urban space to be identified, the face domain data of the informal urban space to be identified is obtained based on the first basic feature;The informal urban space to be identified is converted into an equal-distance node graph structure virtual road network;The second basic feature is distributed to the virtual road network node using the shortest path method, and the equal-distance node graph structure data containing the public open feature is obtained;Each node is analyzed for accessibility, and the analysis result is input into the pre-trained extreme gradient boosting algorithm model to obtain the point set data of the informal urban space to be identified.The application can accurately and efficiently analyze the location and boundary of informal urban public space.

The invention relates to the technical field of urban environment perception and sensor deployment, and discloses a perception blind area modeling and sensor optimal deployment method for an urban complex environment, which comprises the following steps of: obtaining urban environment data of a to-be-deployed area, performing three-dimensional rasterized discretization on an urban space, and performing optimal deployment on the to-be-deployed area; constructing a digital twin environment model containing static obstacle and dynamic obstacle distribution; on the basis, aiming at candidate sensor types and performance parameters thereof, a ray casting method is adopted to judge a sight line shielding relation, and combined with a detection attenuation model of the sensors changing along with distance and angle, comprehensive sensing probabilities of a single sensor or multiple sensors to each three-dimensional grid are calculated, and a sensing blind area probability graph is generated; and further constructing a multi-objective optimization function taking the perception coverage rate, the deployment cost, the perception redundancy and the total energy consumption as optimization indexes, carrying out iterative solution by adopting a genetic algorithm under a preset engineering constraint condition, and finally outputting an optimal deployment scheme containing a sensor model, a three-dimensional space position and attitude parameters.

Carbon Tree is a solar-powered micro-algae bioreactor designed for urban air purification. It immediately absorbs CO₂ and releases O₂, providing a scalable solution to improve air quality in cities with limited green space. The system is IoT-enabled to offer real-time monitoring of environmental data, making it a sustainable solution for urban spaces.

This application relates to a method for assessing the flood control impact of reservoirs using coupled rainfall-flood simulation and influence coefficient grading. The method includes: acquiring and preprocessing multi-source data from the study area to form a basic data layer; constructing a coupled rainfall-flood model that integrates distributed hydrology and a one-dimensional hydrodynamic model, and completing calibration and verification; simulating the discharge process and river cross-sectional flow under different flood-rainfall combination scenarios; calculating the river cross-sectional influence coefficient and dividing it into high, medium, and low influence intervals; analyzing the characteristics of the reservoir's impact on downstream rivers; using inverse distance weighted interpolation to extend the river's influence to urban space and generate an influence distribution map; and statistically analyzing the river length and spatial area proportion of each influence interval to quantitatively assess the upper limit of the reservoir's flood control protection capacity. This method achieves complete coupled simulation of the rainfall-flood process, pioneers a quantitative influence coefficient grading system, completes the spatial visualization of the reservoir's flood control impact from a "line" to a "surface," and accurately defines the upper limit of the reservoir's flood control protection capacity.

This invention provides a method and system for adaptive control of urban soundscape based on multi-source data, belonging to the field of urban soundscape control technology. The method includes acquiring acoustic audio data and visual image data synchronously collected by sensing units deployed in urban spatial nodes, and generating multi-source sensing data streams through timestamp alignment processing. This invention completely breaks through the defects of misjudgment and coordinate blind spots that are easily generated by single environmental sound pickup sensors in the background noise of complex human voice and traffic flow from the data mining and computing level by constructing a hidden layer alignment logic architecture of multimodal tensor addition of the underlying audio logarithmic spectrum diagram and visual spatiotemporal continuous features. Furthermore, by using urban dielectric impedance fading constant distribution layer data to perform spatial spherical wave back radiation energy subtraction model simulation calculation, it creatively replaces blind network broadcasting with digital mapping simulation addressing.

This invention discloses a spatial function coordination and optimization method and system for climate adaptability, belonging to the field of geographic information and spatial planning technology. The method quantifies the supply of ecosystem services in ecological, agricultural, and urban spaces by collecting multi-source data and conducting dynamic assessments; then, it constructs a functional coordination model to analyze the supply and demand relationships and spatial flows, identifying areas of coordination and conflict; finally, it integrates future climate scenarios and generates spatial configuration optimization schemes that balance climate adaptability and development constraints through iterative simulations using multi-objective optimization algorithms. The corresponding system includes five modules: data acquisition and preprocessing, dynamic ecosystem service assessment, coordinated analysis of the functions of ecological, agricultural, and urban spaces, climate adaptability scenario simulation and optimization, and decision support and visualization output. This invention solves the problems of static assessment, fragmented spatial analysis, and lack of climate foresight in traditional methods, significantly improving the climate adaptability and scientific rigor of spatial planning.

The application provides a land space unit division method based on multi-source data fusion and related devices, and belongs to the technical field of land space unit division. In each macro space range, a differentiated chain intelligent modeling method is used to divide the urban space, ecological space and agricultural space, to obtain initial urban units, ecological units and agricultural units; quality inspection is performed on the obtained initial urban units, ecological units and agricultural units, if quality defects or conflict problems are found through quality inspection, a parameter back transmission mechanism and a local recalculation mechanism are triggered, until the obtained urban units, ecological units and agricultural units meet the quality requirements, to obtain final urban units, ecological units and agricultural units. The application solves the problem of low accuracy of land space unit division.

This invention relates to the field of urban planning technology, specifically providing a method, system, equipment, and storage medium for planning the revitalization of existing urban spaces. The method includes: collecting data related to land use, human activities, and spatial facilities in existing urban spaces, and integrating them to form a spatial vitality dataset; extracting and fusing spatial correlation, temporal evolution, and spatial topological correlation strength features through a spatiotemporal collaborative multi-branch model to obtain a vitality correlation feature set and constructing spatial vitality quantification rules; constructing a vitality diagnostic model based on the topological correlation logic of existing spaces, and then constructing a vitality correlation rule library by combining vitality level judgment logic, data mapping relationships, and strategy matching relationships; inputting various types of data and rules into the vitality diagnostic model, outputting spatial vitality level, defect type, and cause results, and finally generating an appropriate vitality enhancement planning scheme based on the rule library; this invention can accurately assess the current vitality status of existing spaces and improve the scientificity and adaptability of existing space vitality planning.

The utility model provides a kind of community friendly type city space layout structure model, it is related to city layout display model technical field, including base, the base inner bottom surface is fixedly connected with multiple vertical electric telescopic linkers of surface array distribution, the vertical electric telescopic linkers top is provided with bottom plate, the piston end of vertical electric telescopic linkers is provided with sliding block, the bottom plate bottom is fixedly connected with straight rail along the length direction distribution of bottom plate, the straight rail is slidably connected with sliding block, by multiple components cooperation, staff can quickly adjust model layout, when carrying out city planning design, different scheme can be simulated quickly, and optimization design using light and shadow change, when showing, various display mode and convenient operation can quickly attract resident attention, attract resident to participate in planning, it reflects community friendly concept and sustainability design.