287 results about "Urban Renewals" patented technology

The invention discloses a city updating intelligent expert system architecture and method based on a large language model, and relates to the technical field of city planning and construction. The knowledge base management module supports efficient retrieval and application of professional domain knowledge; the expert agent group comprises a user-defined core expert and a system dynamic supplement expert; the expert team collaborative decision-making module is used for executing multiple rounds of hierarchical collaborative decision-making processes; the meta-agent module is responsible for project feature analysis and expert team dynamic configuration; the auxiliary agent module comprises a host agent which is responsible for guiding the decision making process; the recorder agent generates a decision summary report; the verification agent is responsible for verifying and evaluating the professional ability of the expert agent; and the scoring agent evaluates the decision quality. According to the method, the problems of dispersed professional knowledge, low cross-domain expert cooperation efficiency, high decision-making cost and the like in the existing city updating decision-making process are solved, and the decision-making efficiency and quality of city updating early-stage planning are comprehensively improved.

The invention belongs to the technical field of urban planning, and provides a digital twinborn-based urban update space intelligent planning and evaluation system, which comprises a data acquisition module for fusing multi-source heterogeneous data in real time, and constructing and updating an urban digital twinborn body; the intelligent planning module generates candidate schemes by combining targets and constraints based on the digital twins and utilizing artificial intelligence; the simulation deduction module performs multi-dimensional dynamic simulation on the candidate scheme, and feeds back and adjusts parameter optimization to generate a planning scheme; the intelligent evaluation module evaluates a planning scheme based on a simulation result through a quantitative index; the monitoring feedback module continuously monitors the actual operation state of the to-be-updated area; according to the invention, through the Internet of Things and the digital twinborn model, the actual condition of a city is dynamically reflected, the integrity and timeliness of data are ensured, and a city updating scheme continuously adapts to city changes.

The invention provides a quick physical examination method for a brick-concrete building structure based on multi-modal tight coupling SLAM, and the method comprises the steps: introducing a laser residual error, a visual residual error, a thermal image residual error and an IMU (Inertial Measurement Unit) pre-integration residual error into a factor graph, and constructing a real-time positioning and mapping frame which can still achieve high precision and stronger robustness in a weak illumination and texture missing scene. In the mapping process, the system synchronously operates crack width and temperature difference double-threshold identification and wall slope rate evaluation, and risk identification and marking of dangerous cracks and inclined walls are completed in real time. According to the method, a three-dimensional building model with a semantic standard is generated, an integrated closed-loop process integrating'multi-modal perception, high-precision mapping, crack and inclination risk judgment and instant output early warning 'is formed, and the high-timeliness and high-precision structural examination requirements of'risk judgment by scanning' on old brick-concrete buildings are met. The method is suitable for scenes such as city updating, dangerous building general survey and rural self-built house structure safety monitoring, and the efficiency and reliability of building rapid screening are remarkably improved.

The invention relates to a three-dimensional live-action model generation method for city updating. The method comprises the following steps: collecting multi-source city image information, and obtaining semantic data according to the multi-source city image information; performing city modeling visualization according to the multi-source city image information to generate a city model; and matching the semantic data with the city model to obtain a three-dimensional real scene model containing the semantic data. According to the method, city information can be obtained more comprehensively by performing total factor accurate collection through a multi-source three-dimensional monitoring technology, the accuracy of a real scene model is improved, semantic data is matched with a city model, a three-dimensional real scene model containing the semantic data is obtained, multiple materials and textures of the model are combined, and the accuracy of the real scene model is improved. And the model is lightened, so that the purpose of reducing the resource loading time is achieved.

The invention discloses an urban healthy community space intelligent assessment method and system, and relates to the technical field of urban space intelligent assessment and healthy community planning, and the method introduces space grid division, street network modeling and graph theory analysis technologies, achieves the high-precision modeling and reachability simulation of an urban community space, and achieves the intelligent assessment of the urban community space. And the coverage capability and the service balance of the 15-minute walking life circle of residents can be accurately evaluated. According to the method, the reachable path network taking each grid unit as a starting point can be dynamically constructed, and the service accessibility level and the comprehensive service scoring index of each grid are quantitatively evaluated according to the quantity vector of the resident reachable service facilities. By setting dual thresholds of coverage rate and score, a'potential function blind area 'is intelligently identified, and a'cold space grid' is accurately discriminated by further combining a resident popularity activity sequence, so that scientific support and decision basis are provided for subsequent city updating, service facility layout optimization and community health space transformation.

The invention belongs to the technical field of city planning, and discloses a dynamic adjustment method for a city update planning scheme and related equipment, and the method comprises the steps: obtaining city street view video data through the normalized cruise shooting of an unmanned plane; preprocessing the urban street scene video data, identifying building facade damage information and traffic information from the preprocessed urban street scene video data, and evaluating a building facade damage level and a traffic influence level; based on a preset building facade damage grade threshold value, a traffic influence grade threshold value, a building facade damage risk weight and a traffic influence risk weight, constructing a weighted risk assessment model, and according to the building facade damage grade and the traffic influence grade, calculating a comprehensive risk score; determining an adjustment strategy according to the comprehensive risk score, so as to dynamically adjust the urban update planning scheme; therefore, the adjustment efficiency of the urban update planning scheme can be improved.

The invention relates to the field of city updating, and discloses a city updating decision-making method based on public participation, which comprises the following steps: acquiring city space basic data including a vector map, remote sensing image data and historical, cultural and geographic information data of a city; on the basis of the acquired spatial data, a public participation base map is constructed, and the base map comprises information of a road network, land use types and historical and cultural areas of the city; collecting opinion data of the public on facility site selection through an interactive platform on the public participation base map; and according to the collected public opinion data, constructing a multi-subject scoring model. According to the method, a decision-making method based on public participation is adopted, space basic data and public opinions of cities are combined, facility site selection is evaluated through a multi-subject scoring model, and the opinions of different subjects can be integrated by the system by setting weight values of the public, experts and the government, so that the diversity and fairness of site selection schemes are ensured.

The invention, which relates to the technical field of mineral product screening, discloses an intelligent construction management platform for city updating, comprising the following steps: establishing a unified data standard and a data interface protocol to ensure that data of different systems, departments and enterprises in the platform can be seamlessly jointed; according to the invention, through unifying the data standard and the interface protocol, data sharing of different systems is realized, and project management efficiency and decision accuracy are improved. The real-time data acquisition and intelligent analysis technology enhances the safety monitoring and intelligent early warning functions, and ensures that potential safety hazards in the construction process are recognized and processed in time. Meanwhile, the flexibility and the emergency response capability of the project are improved by a dynamic adjustment and intelligent early warning mechanism, resources and construction plans can be automatically adjusted in the progress of the project, emergency problems can be dealt with, progress delay and resource waste are reduced, and smooth progress of the project is guaranteed.

The invention discloses a city update action visual evaluation method and system, and relates to the technical field of city management, and the method comprises the steps: connecting a city management system, obtaining city monitoring data, constructing a city distribution diagram, including a three-dimensional distribution diagram and a space group composition, determining the evaluation demand of city update planning, carrying out the hierarchical analysis, and determining a demand hierarchical system. The city evaluation module is supervised and trained; monitoring data of a first city updating stage are obtained and transmitted to the city evaluation module, the city distribution diagram is updated and evaluated, and an evaluation result is determined. The method and the device are used for solving the problems that in the prior art, the comprehensiveness and the dynamic adaptability of city updating evaluation aspects are insufficient; and the evaluation accuracy of the city updating action is limited. Urban updating evaluation is carried out by combining the three-dimensional distribution map and the demand hierarchy system, so that the comprehensiveness and dynamic adaptability of evaluation are improved, and a scientific, dynamic and comprehensive evaluation tool is provided for urban updating.

The invention discloses a land value evaluation method and system based on multi-source heterogeneous data fusion, and relates to the technical field of land economic evaluation. The invention discloses a land value evaluation method and system based on multi-source heterogeneous data fusion. The method comprises four steps of multi-source data acquisition and preprocessing, standardized evaluation index quantification, index weighted fusion and value calculation, and value distribution diagram generation and output. Firstly, four types of data of background status, planning, market feedback and social perception are acquired and preprocessed; secondly, constructing a hierarchical index system to quantify indexes; determining a weight through an analytic hierarchy process and calculating a land value index according to a preset formula; and finally generating a value distribution diagram in a thermodynamic diagram form. The method realizes standardization, high efficiency and visualization of land value evaluation, can be applied to the fields of city updating, land market monitoring, government planning decision making and the like, and provides scientific support for related decision making.

The invention relates to the technical field of city cadastral data analysis, and discloses a city update district boundary division method and system based on cadastral data, and the method comprises the steps: collecting the division associated cadastral data of a target city update district, and employing an improved DTW algorithm to obtain a city update district boundary; the method comprises the following steps: screening current situation boundary effective points and newly-added candidate points with history continuity from current situation measured data, extracting spatial features and ownership features for fusion, constructing a feature matrix by using a fusion feature vector, constructing a spatial ownership double-constraint graph neural network, predicting a final boundary point set of a target city update area, and obtaining a target city update area. And generating a final land parcel boundary. Therefore, by introducing the improved DTW algorithm and the spatial ownership double-constraint graph neural network, while accurate association of historical and current boundary data is established, joint optimization of spatial rationality and ownership rationality is realized by utilizing double-constraint feature fusion, and the division precision and division efficiency of the urban update district boundary boundary are improved.

The invention discloses a planning height control evaluation method for historical and cultural heritage resources involved in a city update project, and the method comprises the steps: obtaining project data and map data of the city update project, and the map data comprises three-dimensional building model data of the city update project; dividing the map data according to grids by using a software tool to generate a plurality of target analysis units; processing the unit data of the target analysis units to obtain index data of evaluation indexes of the target analysis units; obtaining a planning height control evaluation index system, wherein the planning height control evaluation index system comprises a plurality of evaluation indexes and weight values of the evaluation indexes; calculating a comprehensive score of each target analysis unit based on the index data of each target analysis unit and the weight value of each evaluation index; and based on K-means classification and the comprehensive score of each target analysis unit, classifying and evaluating each target analysis unit.

The invention discloses a multi-parameter cooperative control method for non-excavation repair of a drainage pipe network in urban updating, and relates to the technical field of municipal engineering, and the method comprises the steps: firstly constructing a quantum entanglement sensing pipe network digital twinborn model, fusing multi-source data, monitoring micro-strain in real time through a nano sensor, deploying a self-organizing intelligent node and terahertz imaging equipment, and constructing a quantum entanglement sensing pipe network digital twinborn model; multi-dimensional features are extracted, repair parameters are dynamically regulated and controlled through technologies such as magnetofluid plugging and multi-robot cooperation based on digital twinning virtual simulation, finally, the repair effect is evaluated and the scheme is optimized in combination with cognitive calculation and microbial self-healing technologies, and full-process intelligent control is achieved. The intelligent level of non-excavation repair of the drainage pipe network is improved, the problem that traditional monitoring is one-sided is solved through high-precision data fusion, precise construction control is achieved through cooperation of magnetofluid leaking stoppage and the robot, durability is enhanced through the microorganism self-healing technology, repair quality and efficiency are improved, and urban updating and sustainable development are promoted.

The invention discloses a storey-adding construction method for a basement with an existing box type foundation and a multi-layer frame structure, and belongs to the technical field of constructional engineering and city renewing.The storey-adding construction method comprises the following steps that S1, storey-adding buildings of the existing basement are evaluated; s2, underground diaphragm wall construction; s3, reinforcing the existing basement storey-adding building foundation; s4, the overground structure of the existing basement storey-adding building is reinforced; s5, foundation underpinning construction is conducted; s6, earth excavation is conducted at the storey-adding position of the existing basement; s7, construction of a storey-adding foundation bottom plate; and S8, layer-adding underpinning column and top plate construction. According to the storey-adding construction method for the basement with the box type foundation and the multi-layer frame structure, storey-adding transformation is conducted on the basement of an existing building, the usable area of the building is effectively increased, the construction efficiency is improved, the influence on the surrounding environment is reduced, and the urban development and the ever-increasing space requirements of people are met.

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 discloses a method for synergistically preparing recycled aggregate from urban renewal garden waste and building waste, and relates to the field of treatment of garden waste and building waste. The method comprises the following steps: carrying out molecular-level deconstruction pretreatment on garden wastes, destroying cell walls by adopting dual-frequency ultrasound combined with biological enzymolysis, and treating the building wastes by combining high-pressure water jet with abrasive impact; performing nano-scale composite granulation, adding a nano-composite binder, and introducing CO2 to form a gel transition layer; by means of plasma-assisted sintering, particle diffusion is accelerated by means of radio-frequency plasma and an electric field; chemical vapor deposition is adopted, and a TiN-TiO2 gradient functional coating is formed; real-time monitoring and regulation are performed through a multi-mode sensor network and an intelligent algorithm, and process parameters are adjusted according to a product performance prediction result. The recycled aggregate disclosed by the invention is high in strength, good in heat preservation and strong in freezing resistance; negative carbon emission reduction is achieved in the production process, an intelligent system guarantees stable product quality, environmental protection and economic benefits are achieved, and urban update and solid waste treatment green transformation are promoted.

The invention relates to the technical field of city updating simulation, and discloses a city updating multi-scene simulation evaluation system based on digital twinning. The system comprises a multi-source data acquisition module, a space grid division module, a scene simulation engine and a dynamic evaluation module. The multi-source data acquisition module acquires real-time monitoring data and historical city update project data of a city physical space, and the real-time monitoring data covers environmental parameters, infrastructure operation data and people flow dynamic data, so that a digital twinborn body is constructed. The space grid division module divides the digital twin into space grid units according to the urban functional area type and the updating target and gives attribute tags to the space grid units. And the scene simulation engine generates a simulation parameter combination based on the attribute tag, and drives the digital twin to carry out multi-scene dynamic simulation. And the dynamic evaluation module outputs a state evaluation value of each space grid unit according to a simulation result, the state evaluation value comprises an infrastructure load state and a people flow distribution state, and orderly promotion of city updating work is assisted.

The invention discloses a city update project management platform and a control method thereof, and the method comprises the steps: obtaining the current construction data of a city update project at the current moment when the update of the city update project is detected; according to the current situation construction data, based on a preset space management coding system, constructing a three-dimensional data model of the city update project at the current moment; according to the three-dimensional data model, performing simulation display on the current situation real scene and the planning virtual scene of the city updating project at the current moment; and storing all the three-dimensional data models of the city updating project, and tracking the updating implementation progress of the city updating project according to all the three-dimensional data models. And based on the current situation construction data of the city update project at the current moment, constructing a three-dimensional information model of the city update project at the current moment by adopting an unreal engine and a GIS technology so as to display the current situation scene and the planning design scene of the city update project, and dynamically tracking the periodic construction result and data information of the city update.

The invention relates to the technical field of big data analysis, and particularly discloses a city update multi-dimensional dynamic supervision and analysis system based on big data, which is provided with a data quality processing module, a topology verification evaluation module, a conflict repair matching module and an interactive management feedback module. And extracting data from the city multi-source data set and performing coordinate conversion to form a unified city space data set. And then, starting a topology check engine through a data processing port, and detecting and evaluating a topology conflict degree value of the data set. And according to the conflict degree, matching and executing a corresponding repair scheme, and marking the repaired data set as a city effective data set. And finally, the effective data set is uploaded to a city updating interaction port, subsequent interaction management operation is carried out, the accuracy and availability of the data are ensured, and support is provided for a city updating project.

The invention provides a two-stage urban thermal comfort rapid prediction method based on building and greening layout, and relates to the technical field of urban thermal comfort evaluation and optimization. A traditional thermal comfort evaluation method depends on a high-precision solver to carry out fluid mechanics calculation, so that the simulation period is long, the requirement for calculation resources is high, and the requirement for high-strength city updating is difficult to meet. According to the scheme, deep learning is adopted for simulation prediction, the influence of the building layout and the greening layout on the urban thermal environment is predicted in stages, the overall thermal environment distribution is obtained from the macroscopic building layout firstly, and then collaborative analysis and prediction of the macroscopic building layout and the microcosmic greening layout are achieved in combination with microcosmic greening configuration and detailed thermal comfort prediction; according to the collaborative optimization method, complementation and cooperation between the building and the greening configuration are ensured, and the precision of UTCI distribution prediction is effectively improved.

The invention relates to the technical field of greening management, in particular to an urban greening state monitoring method and system based on digital mirror image information, and the method comprises the steps: collecting the real-time live-action data of a designated city, combining the real-time operation rule of the city, and generating a virtual city update mirror image through a digital twinborn technology; extracting digital mirror image information in a specified time period from the virtual city updated mirror image to obtain greening state mirror image data, and generating a virtual city greening state by analyzing the mirror image data; further detecting the greening state of the virtual city, generating greening state early warning information, and feeding back the greening state early warning information to the real city to determine a monitoring area and a monitoring index; and performing live-action monitoring on the designated area of the real city, collecting and analyzing monitoring data to obtain an actual monitoring result of the alarm area, and synchronizing the actual monitoring result to the virtual city update mirror image. Dynamic monitoring and bidirectional feedback of the greening state are realized, and technical support is provided for fine management and scientific decision-making of urban greening.

The invention discloses an integrated construction platform safety monitoring method and system for urban updated residences, and relates to the technical field of safety monitoring, and the method comprises the following steps: laying a sensing network to collect stress strain, displacement, inclination angle, load and vibration data in real time; performing abnormal value elimination on the data based on time-space consistency; constructing a collaborative monitoring index system comprising a stress stability index, a load balance index, an attitude deviation index and a wind vibration response index; establishing a multi-parameter fusion safety evaluation model, identifying a stress anomaly region by dynamically distributing index weights, and introducing an environment correction coefficient to obtain a fusion safety evaluation value; and setting a grading early warning range based on the evaluation value, triggering corresponding grade early warning, and synchronously executing a safety regulation action. According to the invention, through multi-parameter cooperative monitoring, abnormal data intelligent identification, whole-field stress distribution reconstruction and environmental factor quantitative correction, the intelligent level of building machine construction safety monitoring is improved.

The utility model discloses a hanging basket for transforming an old house in a city into a building, which belongs to the technical field of building construction, and has the technical key points that the hanging basket comprises two support frames, a transverse moving part is connected between the two support frames in a sliding manner, and a manned hanging basket is connected onto the transverse moving part in a sliding manner; wherein the two ends of the transverse moving part are each provided with an anti-top-rushing rubber buffer rod, and the manned hanging basket is provided with a temporary positioning assembly assisting in temporary positioning of the manned hanging basket on the transverse moving part. The device is easy and convenient to operate, when the outer vertical face of the same building is transformed, the manned hanging basket can be lifted by operating the hydraulic lifting rod only after the supporting frame, the transverse moving part and the manned hanging basket are assembled, the manned hanging basket can be moved left and right by operating the transverse moving part while lifting is conducted, and the device is convenient to use. Global dead-angle-free adjustment is guaranteed, operation is easy and convenient, and control by constructors is facilitated.

The invention discloses an old building health evaluation method based on an optimization order priority method. The method specifically comprises the steps of S1, constructing a multi-dimensional old building health evaluation index system and a building health level; s2, data acquisition and preprocessing; s3, calculating a correction factor by using a Pearson's correlation coefficient, dynamically adjusting index weight sorting, and constructing an OPA-C mathematical model; s4, solving the mathematical model; and S5, carrying out model self-updating on the real-time data of the old building. By constructing a multi-dimensional evaluation index system of first-level indexes and second-level indexes, on the basis of a traditional order priority method, the importance order of the first-level indexes is adjusted through Pearson's correlation coefficients, index weight distribution of the traditional order priority method is optimized, the scientificity and accuracy of evaluation are improved, and the evaluation efficiency is improved. The method supports BIM system integration and multi-dimensional visual analysis, provides a scientific quantitative basis for old building reconstruction, city updating and low-carbon transformation, and has remarkable engineering practicability and social benefits.

The invention relates to the technical field of city construction, in particular to a city built-up environment intelligent evaluation system based on multi-source data fusion, which comprises multi-source data acquisition and processing, a city update potential recognition model, cross-scale quantitative evaluation system construction and built-up environment and city vitality nonlinear interaction mechanism analysis. The construction of the cross-scale quantitative evaluation system specifically comprises the step of establishing a comprehensive evaluation model of facility density, population matching degree and traffic network structure in combination with an AHP-entropy weight method and spatial syntactic analysis. According to the invention, through multi-source data fusion, cross-scale quantitative evaluation, machine learning modeling and interpretability analysis, an accurate, efficient and generalizable city update decision support system is constructed.

The invention provides an underground pipe network detection positioning method and device, and the method comprises the steps: obtaining the multi-source data of an underground pipe network of a to-be-detected point and the surrounding environment, including ground image data, inspection well internal image data, adjacent inspection well spacing data, ground elevation data, pipe bottom elevation data, and position coordinates; inputting the ground image data into a semantic segmentation network, and outputting a ground semantic segmentation image; respectively extracting contours of the ground semantic segmentation image and the image data in the inspection well to obtain a first edge image and a second edge image; constructing a pavement information measurement model; pipeline diameter information, pipeline gradient and rain and sewage pipeline mixed connection conditions are determined; and integrating the pavement information measurement model, the first edge image, the second edge image, the pipeline diameter information, the pipeline gradient and the like, and drawing a planar graph and an elevation graph of the underground drainage pipe network. According to the method, high-precision detection and positioning of the underground pipe network are remarkably improved, and the method is suitable for city updating and city informatization construction.

The invention provides an urban update project carbon emission evaluation and emission reduction optimization method and system, and relates to the technical field of building energy conservation and emission reduction, and the method comprises the steps: building a three-dimensional reconstruction model through collecting a building multispectral image and three-dimensional point cloud data, building a thermal performance double-layer evaluation frame based on the model, infrared thermal imaging and three-dimensional geometric information are fused to generate a temperature distribution digital twin matrix, and a grid Boltzmann method is used for dynamic simulation; and meanwhile, a carbon emission knowledge graph is constructed, and a Bayesian network is used for reasoning and predicting emission change and positioning an abnormal root, so that a scientific emission reduction optimization scheme is generated, and accurate evaluation of building energy consumption and efficient emission reduction are realized.

The invention discloses an urban park perception value evaluation method based on multi-modal data fusion, and the method comprises the steps: extracting a multi-dimensional perception tag and an emotion intensity score from park social media text comment data through a pre-trained language model, and carrying out the aggregation of the multi-dimensional perception tag and the emotion intensity score, and generating a subjective perception result; performing element identification on the image comment data of the park social media by using the three models to obtain different scene element coverage rates, character / facility counts and language representations of visual elements; constructing a plurality of objective environment indexes to describe different environment states, extracting variable information from three model output results, POI data, remote sensing land class proportion and road network information, and constructing mapping with the corresponding objective environment indexes to quantify each objective environment index; and aligning and outputting the subjective perception result and the objective environment index in the park and period dimensions. According to the method, automatic quantitative evaluation of subjective and objective characteristics of urban parks can be realized on the national scale, and standardized technical support is provided for urban renewal and ecological management.

The invention relates to the technical field of urban planning and sustainable development, in particular to a low-carbon toughness evaluation method for urban renewal. Comprising the following steps: data collection and analysis; formulating a scheme; evaluating carbon emission; evaluating the toughness level; constructing a low-carbon toughness index system; comparing and optimizing the scheme; and updating scheme correction. The invention provides a low-carbon toughness evaluation index system for city renewal, through a scientific and reasonable evaluation method, the low-carbon performance in the city renewal process is comprehensively evaluated, and city low-carbon transformation and toughness improvement are promoted; stable operation of the project under the low-carbon emission condition is ensured by evaluating the low-carbon toughness operation condition of the urban update project; by evaluating the low-carbon toughness condition of the city, the city region urgently needing city updating and reconstruction is found, and the city updating plan and implementation scheme are optimized.

The invention discloses an urban heat island structure characteristic analysis system and method based on three-dimensional simulation, and belongs to the technical field of three-dimensional modeling, and the method comprises the steps: selecting a plurality of places as collection points; recording temperature information and additional information of the acquisition point at a plurality of historical time points, wherein the additional information comprises meteorological data of the historical time points, shadow coverage time, land surface coverage data in a first distance range and urban building data; updating the three-dimensional city map in combination with the city update data to obtain a future city map; establishing a prediction model; obtaining additional information of a target point in a future city map at a prediction time point, calculating a prediction temperature of the target point based on the additional information and the prediction model, and obtaining a city temperature distribution map; and defining the target point of which the predicted temperature is greater than a critical threshold as a high-risk point, and defining an area within a second distance range of the high-risk point as a high-risk area. According to the method, the future heat island effect distribution condition of the city can be obtained, so that help and reference are provided for city planning.