1565 results about "Site selection" patented technology

The invention discloses a digital twinning-based power distribution network relay protection evaluation test method, system and equipment and a storage medium, and relates to the technical field of intelligent power grids, and the method comprises the steps: carrying out the site selection optimization according to a distribution network topological structure and load distribution, configuring a data collection terminal, and building a data transmission network to collect the operation data of a power distribution network; preprocessing operation data of the power distribution network, constructing a digital twinning model, and realizing twinning synchronous updating through data mapping; simulation and fault test verification are carried out, and analysis and optimization feedback are carried out on verification data. According to the digital twinborn-based power distribution network relay protection evaluation test method provided by the invention, the problems are effectively solved by optimizing data acquisition distribution points, constructing a twinborn model in real time and performing multi-scene simulation verification, and an innovative solution is provided for relay protection strategy evaluation and optimization of a complex power distribution network.

The invention relates to the field of business intelligence and artificial intelligence, and discloses an AI analysis technology-based store site selection accurate data comprehensive measurement and calculation system, which comprises a data acquisition module, a data preprocessing module, an AI analysis and optimization module, a financial prediction and risk assessment module and a report generation module. The data acquisition module acquires geographic information, human traffic, rent cost, competitor information and the like of candidate positions from a multi-dimensional data source; the data preprocessing module preprocesses the data; the AI analysis and optimization module generates a recommendation scheme of a candidate position by using multi-objective optimization, linear programming and a machine learning algorithm; the financial prediction and risk assessment module carries out financial income prediction and risk analysis on each position; and the report generation module displays the analysis result through a visual tool and generates a decision support report. According to the method, the optimal store site selection scheme can be dynamically and accurately recommended, and merchants are helped to make scientific decisions and adapt to market changes.

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 multi-target constraint planning and site selection method and system and electronic equipment. The planning and site selection method comprises the following steps: S1, obtaining geographic information of a target site selection area; s2, determining performance parameters of the unmanned aerial vehicle, and obtaining a flight coverage range of the unmanned aerial vehicle in combination with geographic information; s3, constructing a dynamic task point model, and determining an unmanned aerial vehicle task point set through the dynamic task point model; s4, obtaining an optimization target of airport site selection, establishing a target function according to the optimization target, constructing a site selection optimization model through the target function, and setting constraint conditions for the site selection optimization model; and S5, performing multi-target optimization calculation based on the site selection optimization model by adopting a heuristic algorithm to obtain a target layout of the unmanned aerial vehicle airport. According to the technical scheme disclosed by the invention, the navigation path can be precisely planned, the accurate navigation of the unmanned aerial vehicle in a communication limited or silent environment is realized, and the navigation reliability and the operation capability of the unmanned aerial vehicle are improved.

The invention relates to a transformer substation intelligent site selection and line selection planning method, system, equipment and medium, and relates to the field of transformer substation site selection, and the method comprises the steps: carrying out the information collection of a target site selection region through employing the oblique photography of an unmanned plane, generating a three-dimensional model, determining a plurality of environment sensitive regions and the sensitive weights of the environment sensitive regions based on the three-dimensional model, and meanwhile, load demand data and construction cost data of the region are obtained. Establishing a multi-target evaluation model, optimizing the plurality of obtained candidate site selection schemes to obtain an optimal site selection scheme, performing line selection planning on the optimal site selection scheme based on an adaptive algorithm, and adjusting a line selection strategy in real time to obtain an optimal line selection scheme. The technical problem of low planning precision and efficiency caused by lack of intelligent algorithm support in substation site selection and line selection planning in the prior art is solved, and the technical effect of improving the precision and efficiency of substation engineering site selection and line selection planning through collaborative optimization of the intelligent algorithm is achieved.

The invention provides a pumped storage power station multi-element multi-target intelligent online site selection method and device and a storage medium. The method comprises the following steps: extracting a midpoint of each river network line segment as a candidate point to construct a candidate point set # imgabs0 #; the set # imgabs3 # is screened according to the water diversion distance # imgabs1 # and the water head parameter # imgabs2 #, and a set # imgabs4 # is obtained; verifying the dam length, the dam height, the reservoir capacity and the reservoir surface form of the candidate points in the set # imgabs5 # by using a multi-target constraint model to obtain a set # imgabs6 #; a candidate point # imgabs8 # is selected from the set # imgabs7 #, a candidate point # imgabs11 # matched with the candidate point # imgabs10 # in the set # imgabs9 # is screened out, and a set # imgabs12 # is obtained; and obtaining a candidate point, which is optimally matched with the candidate point # imgabs14 #, in the set # imgabs13 # through suitability analysis. The pumped storage power station online site selection method is optimized from the aspects of site selection efficiency, reservoir capacity calculation, homogeneous site optimization, site comprehensive evaluation and the like.

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 relates to the technical field of artificial intelligence, in particular to a charging pile construction planning method and system based on artificial intelligence. The method comprises the following steps: acquiring existing power infrastructure data and multi-source heterogeneous data, wherein the multi-source heterogeneous data comprises traffic data, geographic data, vehicle data and charging behavior data; performing time sequence feature extraction on the multi-source heterogeneous data, and performing cross-time scale fusion on different data source features by using a preset hierarchical attention network model to obtain factor weight data; and constructing a long-term charging demand prediction model through a sequence-to-sequence model according to the factor weight data and the multi-source heterogeneous data. According to the site selection method based on the risk minimum set coverage problem, initial site selection scheme data is generated by combining multi-objective optimization of the coverage rate, the service radius and the accessibility, and more scientific charging pile layout is achieved.

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 provides an auxiliary decision-making method and an auxiliary decision-making system for construction project site selection in urban planning, and relates to the technical field of urban planning, and the method comprises the steps: obtaining a project site selection auxiliary decision-making system according to a whole chain of urban planning construction project site selection work demands; loading the geographic data; performing plot screening on the geographic data through a plot screening unit to obtain an intentional region plot set; performing multi-dimensional integrated analysis on the intentional region plot set according to a scheme analysis unit to obtain plot scheme multi-dimensional analysis information; and performing split-screen comparison and consultation and review decision on the plot scheme multi-dimensional analysis information and the intention area plot set based on a consultation and review unit, and determining a project site selection decision scheme. According to the method, the technical problems of low building project site selection data collection and analysis efficiency and lack of scientific land parcel evaluation means at present are solved, the working efficiency, scientificity and accuracy of building project site selection are remarkably improved, and sustainable development of urban construction is promoted.

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 discloses a pumped storage power station development potential evaluation system based on reservoir geographic characteristics, and relates to the technical field of pumped storage power station site selection planning, and the method comprises the steps: obtaining the dam data and satellite remote sensing topographic data of a built reservoir, and screening the built reservoir as a lower reservoir of the pumped storage power station according to the reservoir capacity; for mountain land and flat land terrains, searching stations around a lower reservoir as an upper reservoir of the pumped storage power station according to the topographic data of the built reservoir dam; estimating the potential reservoir capacity and energy storage capacity of the upper reservoir, and calculating and developing the theoretical potential of the pumped storage power station; and excluding human activity areas, traffic facilities and water limited areas, and calculating and developing the achievable potential of the pumped storage power station. According to the method, technical support is provided for the development mode of the pumped storage power station in which the upper reservoir is additionally built based on the built reservoir in the large spatial scale, the problems that a traditional potential evaluation method is limited by a single terrain and low in efficiency are solved, and sustainable development of the pumped storage power station is promoted.

The invention provides an intelligent charging pile site selection evaluation method and system. The method comprises the following steps: acquiring communication data of a mobile terminal in a target area in real time, and constructing a demand time period division model to distinguish daytime quick charging and night conventional charging demands; dynamically adjusting the position of an edge computing device based on demand distribution to ensure that the service range is matched with a people flow density peak region in real time; controlling the multi-port wireless charging system to switch an adaptive charging power mode according to the identified charging demand type; and generating a candidate charging pile layout position set in combination with equipment layout and power mode data, and screening out an optimal deployment scheme through safety distance verification. According to the technical scheme provided by the invention, efficient matching between the charging pile layout and the dynamic people flow demand is realized, and the daytime charging efficiency and the night equipment utilization rate are improved.

The invention discloses an emergency facility site selection and service optimization model under facility failure and traffic jam conditions, and relates to the technical field of comprehensive facility site selection, a pre-disaster planning decision model F1 is used for site selection decision of an emergency shelter and multi-level service distribution decision with priority; the dynamic optimization model F2 under the condition of failure of the post-disaster emergency shelter is used for redistributing services between a temporary rescue point and the shelter and adjusting a route of self-evacuation crowds under the condition of user balance UE; a pre-disaster planning decision model F1 and a dynamic optimization model F2 under the condition of failure of an emergency shelter after a disaster form a double-layer mixed integer nonlinear programming model MINLP based on a priority service distribution relation, and an equivalent single-layer mixed integer nonlinear programming model is deduced according to a KKT condition. The single-layer mixed integer nonlinear programming model comprises necessary conditions and sufficient conditions for the optimal flow value of the UE road section in the dynamic optimization model F2 under the condition of failure of the post-disaster emergency shelter.

The invention discloses a regional power grid layout planning system, a storage medium and computer equipment wherein the regional power grid layout planning system is realized based on a three-dimensional geographic information model and a territorial space information model. Comprising a transformer substation site selection planning plate used for selecting a site meeting given conditions, technical rules and policies and regulations in a given area, and a power transmission line path planning plate used for planning a reasonable path scheme according to a line rule on the basis of a given line starting point and a given line ending point in a planning area. And the regional power grid layout planning system platform plate is used for solving the problems that planning data models and attributes formed in each specialty and each technical process in the spatial layout service of the electric power facilities in the regional power grid are not uniform, data is distorted and results are difficult to share. Through regional power grid layout optimization technology research, effective landing of power planning can be guaranteed, uncertain factors of engineering construction are reduced, construction coordination difficulty is reduced, and source-grid-load-storage coordination development is promoted.

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 a carbon dioxide salt water layer geological storage site selection method and system, and belongs to the technical field of carbon dioxide energy conservation and emission reduction. The site selection method comprises the following steps: acquiring logging data and a geological data set of a target area, and identifying a potential salt water interval based on a preset rule; grading quantitative evaluation is carried out according to the identified potential salt water interval, and a corresponding evaluation index system is established; wherein the evaluation index system comprises a plurality of first-level evaluation indexes and a plurality of second-level evaluation indexes corresponding to each first-level evaluation index, and the first-level evaluation indexes comprise geological sequestration condition evaluation, sequestration capability condition evaluation and social environment condition evaluation; carrying out weight assignment on the evaluation indexes in the evaluation index system based on an index weight assignment method, and carrying out comprehensive quantitative evaluation to obtain a comprehensive evaluation score of each candidate target region; and taking the candidate target region with the highest comprehensive evaluation score as a storage site for geological storage of the carbon dioxide saline water layer. According to the invention, the scientificity and reliability of storage site selection can be improved.

The invention discloses a traditional Chinese medicine planting site selection evaluation method, system and device based on big data and a medium, and relates to the technical field of data processing. The method comprises the following steps: acquiring a traditional Chinese medicine category of to-be-planted traditional Chinese medicine and soil data and meteorological data of a plurality of candidate planting areas; based on the plant growth parameters corresponding to the traditional Chinese medicine categories, establishing a planting area evaluation standard; performing evaluation processing on the soil data and the meteorological data of each candidate planting area according to a planting area evaluation standard to obtain an environmental adaptability index; receiving the multispectral image of each candidate planting area, determining the vegetation coverage and water and soil loss rate of each candidate planting area, and calculating an environmental risk index; and determining corresponding site selection priorities in combination with the environmental adaptability indexes and the environmental risk indexes, and taking the candidate planting area with the highest site selection priority as a target site selection area of the to-be-planted traditional Chinese medicine. By implementing the technical scheme provided by the invention, the accuracy of traditional Chinese medicine planting site selection evaluation can be improved.

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 invention relates to the technical field of traffic engineering, and discloses an urban air traffic vertical take-off and landing field site selection optimization method based on demand maximization, and the method comprises the following steps: S1, obtaining and preprocessing online car-hailing original data; s2, dividing grids for the research area range, and taking the grid center as an alternative address of a vertical take-off and landing field; s3, screening out online car-hailing travels which are impossible to turn to urban air traffic; s4, constructing a vertical take-off and landing field site selection model based on potential demand coverage maximization; s5, outputting the selected vertical take-off and landing field address and the corresponding urban air traffic travel demand; and S6, outputting the current optimal site selection and demand as a final solution of the model. According to the method, under the condition of the specific number of vertical takeoff and landing fields, the vertical takeoff and landing field addresses which enable potential requirements of urban air traffic to achieve maximum coverage are selected, an effective solution is provided for development of the urban air traffic, and construction of a more efficient, convenient and environment-friendly urban traffic system is facilitated.

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 distributed photovoltaic meteorological resource real-time monitoring station group site selection method and system, and the method comprises the steps: 1, obtaining photovoltaic historical resource data of a target region, and constructing a historical data set; 2, based on the historical data set, analyzing space-time distribution characteristics of distributed photovoltaic radiation resources in a target area, and dividing clusters with consistent radiation resource changes; 3, respectively selecting an optimal center point of each cluster; and step 4, performing micro-region site selection based on each cluster center point to determine an optimal site establishment position. According to the method, the existing distributed layout condition is considered, the future distributed development planning is also considered, and the method has the characteristics of full coverage of regional monitoring information, high representativeness of monitoring stations, scientific and reasonable site selection and excellent economical efficiency of a monitoring layout scheme.

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 discloses a large-scale infrastructure intensive land-saving development potential analysis method and system, and the method comprises the following steps: 1) constructing a large-scale infrastructure stock land geospatial database based on Arcgis, and collecting the related element data of the large-scale infrastructure stock land; 2) extracting land suitable for optimizing stock of large infrastructures, and screening and extracting municipal public facility land and road and traffic facility land which are larger than 5 hectare in land scale and are not dangerous; 3) constructing an AHP-entropy weight method hybrid model, optimizing the weight by means of a genetic algorithm to establish a site selection evaluation system, and comprehensively evaluating the alternative land; 4) constructing a land development population service coverage model to obtain the number of each development land service population; and 5) guiding a land redevelopment time sequence in combination with the comprehensive score of the alternative land and the number of serviceable population. The method provides a path for improving the utilization efficiency of land resources, eliminating the neighborhood effect of large infrastructures and realizing high-quality development.