1220 results about "Site selection" patented technology

The invention discloses an industrial land intelligent site selection method based on spatial big data and an artificial intelligence big model. The method comprises the following steps: 1) obtaining a feature matrix containing spatial topology constraints and economic association rules; 2) extracting key analysis elements in user site selection requirements; 3) inputting the spatial key analysis elements into CNN convolutional neural network branches to obtain spatial features; the policy text type key analysis elements are input into a Transform branch, and policy features are obtained; inputting the industrial chain type key analysis elements into GNN graph neural network branches to obtain industrial chain features; 4) generating an industrial land analysis conclusion; and 5) generating a comparison report, a site selection proposal, a risk avoidance strategy and an emergency plan of each feasible scheme. According to the invention, through fusion of multi-source spatial data (industrial layout, traffic network and regional assessment) and an artificial intelligence large model, dynamic planning constraint matching, full-life-cycle risk assessment and multi-objective optimization site selection are realized.

The invention discloses a noise monitoring point site selection method and system based on a noise map, and relates to the technical field of environmental noise monitoring, and the method comprises the steps: constructing a three-dimensional topology network based on a three-dimensional noise intensity matrix, calculating an optimal sound propagation path through employing a quantum heuristic topology optimization algorithm, and obtaining an optimal sound propagation path; the weights of nodes in the three-dimensional topology network are optimized in combination with quantum annealing, and an acoustic topology characteristic spectrum is generated; extracting multi-scale noise propagation features through a convolutional neural network according to the acoustic topological feature map, constructing a gridding space demand matrix in combination with a monitoring equipment parameter library and coverage constraint conditions, and generating an optimal noise monitoring network site selection scheme according to the gridding space demand matrix; according to the invention, a quantum heuristic topology optimization algorithm is combined with quantum annealing to optimize the node weight of the three-dimensional topology network, and intelligent optimization and dynamic adjustment of the sound propagation path are realized.

The invention discloses an unmanned aerial vehicle airport site selection method suitable for large-scale electric power line inspection, and the method comprises the steps: S1, carrying out the primary selection of a geographic space, constructing a geographic constraint evaluation model, carrying out the processing of elements and historical disaster data through discrete coding, generating a safe and suitable region through the multi-factor weighted stacking space analysis, and carrying out the calculation of an evaluation result; and a K-Means clustering algorithm based on Euclidean distance is combined to screen a primary selection region. S2, risk assessment preselection: constructing an entropy weight-TOPSIS risk assessment model, determining a risk factor weight by using an entropy evaluation method, calculating a scheme closeness degree through a TOPSIS algorithm, and screening a low-risk preselection region; and S3, constructing a binary relationship between a demand center set and a pre-selected site set by combining an electric power inspection target and taking an electric power inspection task target as a demand node, measuring weighted traffic cost through Euclidean distance, designing a double-layer nested 0-1 decision variable, and realizing optimization of an airport deployment area by taking minimization of a total weighted distance as a target function.

The invention discloses an unmanned aerial vehicle take-off and landing point intelligent site selection method and system for low-altitude logistics, and relates to the technical field of logistics management. The method comprises the following steps: acquiring logistics order data, airspace state data and environmental perception data in real time through an edge computing terminal, and normalizing the acquired data; constructing a five-dimensional real-time state vector including a demand intensity factor, an unmanned aerial vehicle cluster state, an airspace compliance index, a terrain resistance coefficient and a cost constraint vector based on the processed data; and constructing a reinforcement learning decision engine, designing an action space including node operation, task allocation and resource allocation, and filtering the action space based on an airspace rule and physical constraints. According to the invention, the real-time response capability of low-altitude logistics is obviously improved, the adaptability of complex terrains is enhanced, the multi-objective decision is optimized, the robustness and compliance of the system are guaranteed, and a reliable solution is provided for intelligent management of low-altitude logistics.

The invention discloses a broadcast type radio positioning system base station site selection analysis and evaluation method and system, and relates to the technical field of wireless positioning, and the method comprises the steps: building a radio ground base station deployment sample database and an elevation model database; based on a combined optimization strategy of a greedy algorithm and a genetic algorithm, selecting an optimal base station set covering a pre-working area from the database; constructing a three-dimensional evaluation system, and comprehensively evaluating the optimal base station set from three dimensions of deployment cost, system robustness and positioning precision; optimizing the base station set based on a digital twinning technology, wherein the optimization comprises multi-band signal emission modeling and machine learning recommendation of a historical case library; and dynamic presentation and parameter adjustment of a base station deployment effect are realized through a three-dimensional visual interface and an interactive sand table system. According to the method, a large-range working area can be well covered, the situation that a signal coverage blind area exists is avoided, then the working efficiency is improved, and flexible and efficient site selection evaluation on the radio ground base station in a local sudden battlefield can be achieved.

The invention relates to the technical field of unmanned aerial vehicle application and urban airspace management, in particular to an intelligent site selection method and system for unmanned aerial vehicle take-off and landing points in an urban building group, and the intelligent site selection system for the unmanned aerial vehicle take-off and landing points in the urban building group specifically comprises the following steps: S1, carrying out the multi-source heterogeneous data fusion and high-precision three-dimensional environment modeling; s2, fluid dynamics simulation and airflow field pre-calculation are calculated; s3, real-time meteorological monitoring and dynamic risk correction; s4, establishing a quantitative safety evaluation model and multi-objective optimization site selection; and S5, visual decision support and feedback learning. According to the scheme, by deeply fusing multi-source heterogeneous geographic information data and constructing a high-precision three-dimensional digital twinborn city environment, accurate simulation and risk assessment of an airflow field around a building group are realized, geometric, material and semantic information is automatically extracted by using oblique photography, laser point cloud and a building information model, and the construction efficiency is improved. A unified three-dimensional grid with physical attributes is formed, and a reliable basis is provided for subsequent fluid calculation.

The invention relates to an improved NSGA-III-based multi-target geographic site selection optimization method and system, belongs to the technical field of optimization in business management and resource planning, and particularly relates to resource allocation and site selection decision making by using a calculation model. The technology aims to solve the problems of slow scheme convergence, non-uniform solution set distribution and low calculation efficiency when multi-target site selection is carried out under limited resources. According to the scheme, geographic space data is preprocessed, and an initial population representing different site selection schemes is generated; carrying out optimization iteration by adopting an improved NSGA-III algorithm, and calculating a plurality of objective functions such as coverage rate, normalized population density and medical service accessibility; and performing individual selection and population updating by utilizing improved reference point generation and vertical distance measurement. The method is mainly used for improving the efficiency and effect of commercial and municipal decisions such as urban planning, medical resource configuration, energy station layout and logistics network optimization.

The invention relates to the technical field of air quality monitoring, in particular to an air quality monitoring station site selection optimization method, medium and equipment, and the method comprises the steps: S1, obtaining remote sensing monitoring data and ground station monitoring data of pollutant concentration of a certain research area; s2, correcting the remote sensing monitoring data based on a random forest model to obtain corrected monitoring data; s3, evaluating the credibility of the corrected monitoring data based on the consistency measurement index, and if the consistency measurement index of the corrected monitoring data is higher than the consistency measurement index of the remote sensing monitoring data, entering S4; otherwise, returning to S2; and S4, according to the corrected monitoring data, optimizing the monitoring station at the pollution view angle, and obtaining a monitoring station site selection result after the pollution view angle optimization. According to the invention, overall consideration of monitoring efficiency and health protection is realized, future development change is considered, and more accurate and comprehensive data support can be provided for air quality monitoring and environment management.

The invention discloses an unmanned aerial vehicle take-off and landing site selection method for urban end logistics, and relates to the technical field of facility site selection, and the method comprises the following steps: S1, obtaining a building contour of a region to be subjected to site selection, and constructing a customer buffer region according to the building contour; s2, based on the customer buffer area, performing noise analysis and safety analysis on the unmanned aerial vehicle, and constructing an overall restricted area; and S3, based on the overall restricted area, constructing a target function taking the lowest cost as an optimization target, a target function taking the highest satisfaction as an optimization target and a plurality of constraint conditions, and obtaining a site selection layout result. According to the method, the applicability of the grid map method in the complex urban environment is verified, and a new thought is provided for the layout of the urban logistics unmanned aerial vehicle take-off and landing points.

The invention relates to the technical field of data processing, and discloses a traffic site screening method and system for marketing and a storage medium. The method comprises the following steps: collecting multi-dimensional data through a monitoring system, and calculating a quality evaluation index; extracting user features to establish a portrait, and calculating a matching degree; predicting an effect in combination with operation data; screening sites based on prediction evaluation; and monitoring and analyzing the screening result, and dynamically adjusting to obtain an optimization scheme. According to the application, multi-dimensional evaluation of shopping mall quality, accurate matching of user portraits and dynamic optimization of screening results are realized, so that scientificity and success rate of merchant site selection decision are improved.

The present application belongs to the technical field of co-delivery center site selection. Disclosed are an urban-end co-distribution center site selection method and system based on air-ground coordination, which are used for solving the technical problems of an existing air-ground coordination co-delivery center site selection model being insufficiently integrated with an unmanned aerial vehicle delivery technique, failing to take into consideration constraint conditions on unmanned aerial vehicles, and the solving efficiency being low. The method comprises: establishing a planned layout set of an air-ground coordination co-delivery center; taking the minimization of the overall delivery time and the minimization of the total network operation cost as objectives to construct an air-ground coordination layout planning model; setting constraint conditions of the air-ground coordination layout planning model; by means of a grey wolf population algorithm, generating an initial site selection solution set for a pre-selected point set of the co-delivery center; filtering out invalid solutions in the initial site selection solution set on the basis of the constraint conditions; and performing an individual iterative update on the filtered initial site selection solution set, and performing a fitness assessment and no-fly zone crossing determination on a new solution set obtained after each iteration, so as to obtain a final site selection scheme.

The invention discloses an urban rail transit station site selection multi-objective optimization method and a related device, and belongs to the crossing field of urban planning and traffic engineering, and the method comprises the following steps: according to preprocessed urban road network data, screening crossing points of urban three-level roads and roads above the three-level roads as candidate stations; the coordinates of the candidate sites are coded; based on the preprocessed crowd travel origin and destination data, POI data, building data and land utilization data, quantifying the service people flow, facility accessibility and land development intensity of each candidate site, and forming a feature matrix of each candidate site; and constructing a multi-target traffic station site selection model, screening candidate stations meeting distance constraints through a greedy search algorithm according to the feature matrix, inputting the candidate stations to NSGA-II, and solving a multi-target optimization function of the multi-target traffic station site selection model to obtain an optimal planning result. The method can solve the problems that in the prior art, the target is single during site selection, and the inter-site distance constraint is not considered.

The invention discloses a land sedimentary basin deep saline water layer gas storage site selection method, which comprises the following steps of: preliminarily delineating a plurality of first candidate areas through judgment of basic geological conditions and hydrogeological conditions; further delineating a second candidate area through reservoir parameter quantitative evaluation, cover layer integrity evaluation, reservoir fracture connectivity evaluation and injection-production process pressure field change dynamic simulation; performing security assessment on the second candidate region; performing economic evaluation on the second candidate region; constructing an index system based on technical, safety and economic indexes, setting the weight of each index, and performing suitability scoring on each second candidate region; selecting the second candidate area with the suitability score meeting the requirement as a gas storage construction preselection point; and the built gas storage in the area adjacent to the gas storage building pre-selection point or the gas storage building pre-selection point verified to be qualified is selected as the gas storage to be put into use. The method can select a suitable site for large-scale safe natural gas storage, and is rapid and efficient to implement and suitable for popularization.

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 relates to an AI-based planned land site selection multi-objective optimization method and system. The method comprises the following steps: constructing a city data cube; constructing a cellular automaton model and generating a land utilization potential map; constructing a game decision model, and generating a preliminary site selection scheme set; inputting the preliminary site selection scheme set into a cellular automaton model to generate an evolution simulation data set; constructing a multi-target evaluation model, and calculating the relative closeness between each scheme in the preliminary site selection scheme set and an ideal solution; generating a site selection decision report according to the relative close degree; in conclusion, the urban data cube is constructed by integrating multi-source real-time and historical data, the dynamic land potential map is generated by applying the cellular automaton model, and the multi-target scientific balance is realized by introducing the multi-agent game decision. Automatic processing and consistency guarantee of planning rules are realized, a scientific quantitative tradeoff mechanism in a multi-target conflict scene is provided, and the method has the effect of improving data timeliness and dynamic response capability of site selection decision.

The invention discloses an expressway site selection result evaluation method considering the influence of a low-altitude aircraft, and relates to the field of site selection result evaluation, and the method comprises the steps: building a hierarchical structure evaluation model after generating an expressway site selection evaluation index system based on the flight influence factors of the low-altitude aircraft, obtaining a highway site selection result according to the hierarchical structure evaluation model; constructing a three-dimensional airspace reachability model by using historical flight data of the low-altitude aircraft, predicting a flight route of the low-altitude aircraft, and judging the service satisfaction degree of the highway site selection result to the low-altitude aircraft in combination with service requirements; and designing an emergency scene based on the service satisfaction degree, judging the strain capacity of an expressway site selection result, evaluating the reasonability of the expressway site selection result according to the strain capacity, and determining a final expressway site selection result by utilizing a reasonability evaluation result. According to the invention, the service of the aircraft in the site selection area of the expressway can be fully guaranteed.

The invention discloses a battery replacement cabinet site selection recommendation method and device, a storage medium and electronic equipment, and relates to the technical field of mobile communication. The method comprises the following steps: acquiring basic data of a deployed power conversion cabinet and a map divided by functional areas; based on the basic data and the map divided by the functional areas, generating a three-dimensional map for the site selection of the power conversion cabinet, and obtaining a to-be-selected range on the three-dimensional map; performing spatial interpolation on the range to be subjected to site selection to obtain a plurality of positions to be subjected to site selection, and determining a functional area which can be covered by each position to be subjected to site selection in the plurality of positions to be subjected to site selection; on the basis of the functional area capable of being covered by each to-be-selected location and the basic data, performing power conversion cabinet space layout rationality evaluation on each to-be-selected location by using the power conversion cabinet utilization rate influence factor to obtain a space layout rationality evaluation result corresponding to each to-be-selected location; and screening out a recommended site selection position according to a spatial layout rationality evaluation result. According to the invention, the site selection precision and site selection efficiency of the power conversion cabinet can be improved.

The invention relates to a multi-scene facility site selection method based on a gridding population mapping and hybrid optimization algorithm, and the method comprises the following steps: S1, constructing regular rectangular grids covering a research area, each network having a unique grid identifier, a centroid abscissa and a centroid ordinate; s2, obtaining different forms of population data, performing conversion processing, integrating the population data into regular rectangular grids, and calculating the population quantity for each network to obtain a grid data set with standardized population weight; and S3, based on the data set and the coverage determination function, respectively constructing target functions of three scenes of full-facility re-optimization, partial-facility optimization and newly-added facility site selection, and solving the target functions to obtain optimal multi-scene facility site selection results of the three scenes. Compared with the prior art, the method has the advantages of improving the calculation efficiency of the optimal facility number range and the site selection position and the like.

The invention relates to the technical field of urban planning, and particularly provides an intelligent site selection method and system based on a spatio-temporal data platform, and the method comprises the steps: collecting multi-source spatio-temporal data of key industry categories of a target region, constructing an enterprise demand feature set based on the multi-source spatio-temporal data, and building a quantitative demand standard based on the feature set; constructing an industrial ecology adaptation model based on the current industrial basic data of the target area, calculating the matching degree between the feature set and the industrial ecology of the target area through the industrial ecology adaptation model, and outputting candidate parks according to the matching degree by taking industrial ecology clustering as a target; establishing a multi-element adaptation relationship between the target enterprise and the candidate parks based on the quantitative demand standard, performing matching verification through a multi-dimensional compliance verification unit, and removing parks which do not meet the constraint condition of the quantitative demand standard; and based on the verification result, outputting a site selection scheme, finally realizing high matching of enterprise demands and public resources, improving site selection efficiency and quality, and assisting sustainable development of regional industries.

The invention discloses an intelligent charging pile site selection method and system based on gridding and data fusion. The method comprises the following steps: dividing a target area into grid units; acquiring map data, power grid load data, traffic flow data and new energy vehicle charging demand data of each grid unit, and performing multi-source data fusion; and performing intelligent analysis on the fused multi-source data through an intelligent evaluation model based on machine learning to obtain a station building score of each grid unit, and determining a charging pile site selection scheme according to a score result. According to the scheme of the invention, real-time layout optimization of the charging facility is realized.

The invention relates to the technical field of resource management, and discloses an intelligent management and control site operation method and device based on big data, equipment and a medium, and the method comprises the steps: obtaining multi-source heterogeneous site related information from a preset data source, and generating a site panoramic database; acquiring site lease data based on the site panoramic database, constructing a rent anomaly recognition rule engine, and calculating site information of each site; constructing a false site identification model, and continuously analyzing newly input site information and site information in an operation process by using a mode of fusing a machine learning algorithm and a rule engine so as to identify a risk site; and according to the false site identification model and the site panorama database, generating structured data comprising a site identifier, an abnormal item list, an index score, a recommendation level and a strategy label. The method is suitable for full life cycle management of site selection, evaluation, monitoring and strategy optimization of enterprises such as logistics, e-commerce, manufacturing and the like.

The invention discloses a wave energy array development site selection method, which belongs to the field of wave energy development and utilization, and comprises the following steps of: 1) processing geographical distribution data by utilizing a GIS (Geographic Information System) spatial analysis method to obtain a limited development area graph layer; and 2) constructing an evaluation index system of wave energy array development site selection, and carrying out standardization processing to obtain a comprehensive evaluation result. And 3) calculating an offshore distance, and generating a refined developable range layer. And 4) carrying out wave direction statistical analysis in the developable range to obtain an array development range. And 5) on the basis of determining the array development range of the target sea area, determining a potential development site. 6, quantitative analysis and trend analysis of the array development capability are carried out with the potential development site as the center point, and the key development site is determined.According to the method, multi-dimensional evaluation indexes such as environment compatibility, resource endowment, technical feasibility and economic rationality are integrated, and a scientific basis is provided for array development site selection of the wave power station.

The invention relates to a mine water depth sealing layer site selection evaluation method and system based on multi-parameter coupling. The method comprises the following steps: acquiring geological, hydrological and engineering parameters through geological exploration equipment and the like, and carrying out wavelet transform noise reduction and Kriging interpolation processing; determining a key parameter set and weight by using an analytic hierarchy process, constructing a comprehensive evaluation model coupling the analytic hierarchy process and fuzzy mathematics, and generating a membership matrix and a multi-field coupling numerical model; and calculating a fitness index through spatial overlay analysis, generating a sealing suitability partition map, outputting an evaluation report containing risk early warning, and generating an interactive three-dimensional site selection decision interface. The system comprises a data acquisition and preprocessing module, a parameter processing module, a weight distribution module and the like. The simulation precision and the risk positioning efficiency are improved, and a comprehensive evaluation scheme is provided for site selection of the sealing layer of the water depth of the mine.

The invention relates to the technical field of data mining, in particular to an elevator emergency rescue station site selection decision optimization method, system and device and a medium, and the method comprises the steps: obtaining elevator related data of a target area, and carrying out the preprocessing of the elevator related data; based on the preprocessed elevator related data, space density distribution of the elevators in the target area is extracted; constructing a quantitative evaluation model, and extracting a rescue difficulty quantitative result of the target area based on spatial density distribution; and constructing a site selection decision model based on stochastic programming, and solving an emergency rescue station site selection decision result. The invention aims to improve the rationality and rescue efficiency of site selection of the elevator emergency rescue station.

The invention discloses a shopping mall site selection method and system based on big data analysis, and relates to the technical field of big data analysis, and the method comprises the steps: employing a big data algorithm to analyze city data, calculating the hotspot score of a commercial candidate address, recognizing a potential commercial hotspot region, and forming a preliminary alternative address pool; by calculating the cosine similarity between the to-be-built shopping mall in the alternative address pool and the existing shopping mall, screening the preliminary alternative address pool to generate an advantageous alternative address pool; taking the existing shopping mall as a discrete point, constructing a Thiessen polygon, and removing an overlapping region in the advantage alternative address pool to obtain a high-value alternative address pool; and performing comprehensive scoring on the high-value alternative address pool to screen out a final shopping mall construction address. According to the method, a high-competition area is strategically avoided by constructing the Thiessen polygon, green ecological assessment and business district characteristics are fused, and homogeneous competition is avoided by calculating the repulsive force between the to-be-constructed shopping malls.

The invention discloses a risk zoning method for active fault engineering influence, which relates to the technical field of engineering construction evaluation, and comprises the following steps: I, fusing multi-source data of a detection fault, constructing a three-dimensional geometric model of the fault, and analyzing and correcting a fault distribution rule by utilizing a GIS (Geographic Information System) space; iI, combining fault sliding rate, paleoearthquake recurrence period and deep engineering crustal stress inversion, and evaluating activity characteristics of the hidden fracture in the engineering service period. Through multi-source data fusion, three-dimensional model construction and GIS correction, multi-factor overlay analysis and a dynamic correction mechanism, multivariate characteristics of the active fault and complex geological conditions of an engineering site are comprehensively considered, the problem of limitation of a zoning result is solved, the accuracy of risk assessment is improved, limitation of a single index is broken through, and the risk assessment efficiency is improved. Closed-loop management of data acquisition-risk assessment-engineering response is realized, and scientific and reliable technical support is provided for safe site selection, optimization design and operation and maintenance of major infrastructures.

The invention relates to a GIS-based site selection method for generally selecting a high depression as an upper reservoir of a pumped storage power station, and relates to the technical field of site selection of pumped storage power stations. Identifying and extracting depression as a generally selected site by using a maximum closed contour line; basic engineering attributes of the generally selected site are calculated; upper reservoir sites meeting the basic construction conditions are screened out according to terrain attributes; and carrying out scoring calculation on the optimal sites to obtain an optimal sequence. According to the method, the closed high-position depression meeting the construction requirement near the sufficient water source is screened out as the optimal site by utilizing important terrain indexes, and the shortest water delivery path and the optimal sequence of the upper reservoir and the lower reservoir are given, so that batch, accurate and rapid site selection is realized, and the site selection efficiency of the pumped storage power station is improved.

The invention relates to the technical field of natural gas pressure regulating station automatic site selection, and provides a natural gas pressure regulating station automatic site selection method, system, equipment and medium, and the method comprises the steps: precisely extracting a water system contour boundary through employing an edge detection algorithm, generating a water system distribution diagram, and building a terrain constraint condition through combining with a gradient grading mask; the gradient attenuation range of the water system safety buffer area is dynamically adjusted based on the river channel bending curvature characteristic and the branch intersection density, and water body protection and land use requirements are effectively balanced; recognizing boundaries of a building area and a forest protection area through color and shape features of the remote sensing image, and performing superposition to generate a composite security constraint layer; and screening low-gradient contiguous effective candidate blocks after excluding the protected area, simulating a feasible path through a depth-first search algorithm, and selecting an area which is high in connectivity with a main road and small in topographic relief as a final site. The ecological environment damage risk is reduced, the engineering implementation feasibility is ensured, and the optimal balance of ecological protection, safety protection and construction cost is achieved.

The invention discloses a fire station site selection method and system based on an optimal transmission theory, and the method comprises the steps: building a multi-dimensional urban fire-fighting demand field, and building a three-dimensional quantitative index system which comprises a fire risk core evaluation factor, space population density and traffic accessibility; layered planning logic of high-risk area priority coverage, dense population area response guarantee and traffic reachability correction is realized, fire station site selection is abstracted into a probability measurement matching problem of a rescue capability field and a fire protection demand field, and a Wasserstein distance is introduced to measure a distribution gap between the rescue capability field and the fire protection demand field. The systematic balance of the coverage range and the response speed of the fire station is realized by minimizing the'transportation cost '(namely the response time of the fire fighting truck), and uncertainty factors in the site selection process are reasonably processed by introducing description of probability distribution, so that a site selection model which meets the actual fire-fighting planning requirements and also meets the site selection requirements is formulated. And a fire station site selection and distribution scheme of resource optimization configuration can be realized.

The invention belongs to the technical field of urban planning, and provides an urban park site selection decision-making method, system, equipment and medium in order to solve the problem that the existing heat island effect relieving technology faces multiple bottlenecks, and multi-dimensional indexes are endowed with combined weights based on a game theory method and subjected to hierarchical normalization processing; according to the conversion heat contribution degrees of different surface feature categories, decomposing the combined weight of the surface temperature to different surface features of the target area; enabling the normalized spatial distribution map corresponding to the surface temperature to correspond to different surface features, and obtaining a thermal contribution normalized distribution map of different surface features in the target area; the above steps are fused to generate a target area site selection suitability distribution map, and screening is performed to obtain an urban park site selection scheme, so that the sensitivity loss of existing'one-step 'weighting on a high heat source area is avoided, and it is ensured that a park site selection decision not only can alleviate a heat island core area in a targeted manner, but also can adapt to the diversity characteristics of an urban spatial pattern.