280 results about "Urban space" patented technology

The invention aims at providing a method for collecting spatial population distribution in real time on the basis of mobile phone big data and realizing large passenger flow early warning. The method is characterized by comprising the following steps of obtaining real-time mobile phone big data from a mobile phone communication operator at each statistics moment; dividing a target region into different space regions; at the current statistics moment, mapping the latest space position of each EPID (Electronic Portal Imaging Device) obtained in the first step to each space region of the target region; and obtaining the real population size (the distribution condition of the total population in the whole target region) in each space region at the current statistics moment. The method has the advantages that the sufficient relying on the existing mobile phone big data resources is realized; the continuous encrypted position information of the existing mass anonymous mobile phone users in the mobile communication network is used; the low-cost high-frequency and automatic implementation can be realized; and the popularization distribution data in a large-range urban space range can be continuously obtained in a fast deploying way.

The invention provides a method for identifying urban function areas based on WeChat data and interest point data. The method comprises the steps of extracting a people flow matrix, an out-people flow matrix and an in-people flow matrix of each base station from the WeChat data, extracting an interest point type distribution matrix of each base station from the interest point data, and performing normalization processing on the four matrixes based on a base station area element; then performing outlier deleting operations and performing urban space division, data extracting and normalization treatment on the base stations with outliers deleted to generate a new matrix, and then performing clustering analysis on the generated new matrix; finally performing space distribution area overlap ratio calculating on a clustering result and determining functions of urban areas according to overlap ratio calculating results. The method can identify the functions of each urban area accurately, better achieve functional partitioning and characteristic analysis of urban areas, provide technical support for urban structure layout and exploitation and utilization of land, and provide a realistic basis for reasonable utilization of urban space.

The invention discloses an urban water-logging analysis method and an urban water-logging analysis system in order to solve the problem in the existing water-logging analysis method that inaccurate results are caused as there is no accurate data of underground drainage facilities and a lot of variables in the model are simulated data. The method comprises the following steps: generating an urban space model containing all depressions according to urban space information; getting the water depth of each depression according to the acquired predicted total rainfall within a period of time T, the area of the depression and the underground pipeline information; judging whether the water depth is greater than a set threshold; and generating alarm information characterizing depression water-logging if the water depth is greater than the set threshold. According to the technical scheme, a rainfall model, a confluence model and an improved drainage model form a water model, the generalization problem of urban drainage system facilities in the traditional rainstorm water-logging mathematical model is solved, and the accuracy of water depth prediction is improved.

The invention discloses a data fusion and display method based on an urban space three-dimensional grid model. The urban space three-dimensional grid model which is low in requirement for basic data and high in data relevance is constructed. The method specifically comprises the steps of establishing a building vector diagram corresponding to a building contour, and dividing vector units to obtaina floor topological diagram. The floor topological graphs of all levels of the same building form a three-dimensional grid model of the building. And the three-dimensional grid models of all the buildings in the city form an urban space three-dimensional grid model and are displayed. Each grid body in the three-dimensional grid model is endowed with a globally unique address code, and a data association index large table is established by utilizing the grid body and the corresponding globally unique address code. Urban public basic data of each grid body are extracted from the urban public basic database, an urban public basic data index table is established, the tables are converged and integrated, and the tables are associated with the urban space three-dimensional grid model to realizedata fusion and display of urban data.

A space is set substantially in a tropical rain forest type environment to activate a human's essential brain region and realize an environment suitable for the human's brain by arranging a device for setting the tropical rain forest type environment based on characteristics of activating human's essential brain region responsive to tropical rain forest type environment information, in a space such as an urban space, a housing space or other living space. The tropical rain forest type environmental information has higher density and higher complexity than those of urban space type environmental information, and includes at least one of auditory information, visual information, and super perceptual information of aerial vibration. The tropical rain forest type environmental information is comfortable for the human with no excessive stress, and is environmental information for effecting prevention and treatment of diseases due to stress by realizing the environment comfortable for the human's brain.

The invention discloses an urban traffic partitioning method based on a differentiation strategy and planning. The method is characterized by comprising the following steps: step 1, dividing city into multiple macro strategy policy subregions according to urban space structure and development direction, regional land utilization property and strength, regional environmental capacity and quality, the supply level of grand transport facilities and transportation demand characteristics; step 2, respectively dividing the macro strategy policy subregions into multiple medium traffic network planning subregions according to land characteristics and traffic characteristics; and step 3. respectively dividing the multiple medium traffic network planning subregions into multiple micro implementation program subregions according to urban road systems, public transportation, parking facilities, outbound transportation junction and local transportation program assessment factors. Compared with the prior art, in the invention, arrangement and planning are carried out on the urban traffic differentiation in an integral and microcosmic view, thus perfecting urban transportation planning and meeting the demand of serving urban traffic planning, construction and management.

The invention discloses a method for digital restoration of an urban spatial pattern, which belongs to the field of the restoration of urban spaces. The method comprises the following steps: registration and scanning of a historically old map: registering and correcting through making full use of ArcGIS software and remote sensing data of a city to be restored, and registering the historically old map into the present remote sensing data; restoration of a historical urban space; correction of errors in restoration results of the historical urban space: correcting the errors in the restoration results with the spatial analysis method of the ArcGIS and the mathematical statistics, thereby realizing the digital restoration of the urban spatial pattern. With the adoption of the 3S technology, the invention changes the conventional method for spatial pattern restoration simply depending on paper drawings and verification of historical documents, effectively improves the drawing efficiency and quality of the historical urban map, forms 'a map' of urban spatial patterns in different historic periods based on the unified spatial scale, the unified spatial reference and the unified spatial classification, and guarantees the restoration, management, presentation and application of the urban spatial patterns.

The invention provides a method for using a permanent position pollutant detector to identify urban space multi-pollutant sources, and belongs to the technical field of atmospherical pollutant source identification. The method comprises the steps of building a three-dimensional model of a corresponding building through an urban three-dimensional map, and simulating and calculating a velocity field of an urban area according to leading wind speed and wind direction in the upwind direction of the urban area provided by a meteorological station; selecting positions and pollutant concentration data of three pollutant detector readers, and using an accompany method to calculate a potential pollutant source position and release strength; continuing choosing other detectors according to a certain principle aimed at the condition of the multi-pollutant sources, identifying the pollutant sources according to data of every three pollutant detectors, and repeating the procedure for two to three times so that one pollutant source can be identified. The influence on the identified pollutant source on the identification process of other pollutant sources can be eliminated according to a theoretical basis that a pollutant transportation equation is a linear equation under the steady condition of a flow field. In this way, multi-pollutant sources can be quickly and accurately identified.

The invention discloses a method for generating an urban space big data map on the basis of POI commercial form data. The method comprises the steps that names of roads in a study range are firstly acquired; according to national economy industry classification types, keywords corresponding to the types are sorted; commercial form space keywords in the study range are obtained by combining the road names with the industry keywords; the commercial form space keywords are input in a map website, precise geographical coordinate information corresponding to the commercial form space keywords in the map website is captured, and the POI commercial form data with geographical coordinates in the region range is acquired and then converted into a dot format with information; POI information dots and a space digital map of the study region are superposed through ArcGIS software, and the urban commercial form distribution space big data map is obtained. By applying the urban space big data map generated through the method, a simple and visualized model can be obtained, and through classification keyword selection in the method, not only is the systematicness of commercial form space data POI guaranteed, but also data missing is avoided.

The invention discloses an urban land automatic identification system integrating industrial big data and building forms. The system comprises a data acquisition and input module, a database construction module, a machine learning training module, an automatic identification module and a data output module, and the system automatically identifies urban land by extracting data distribution characteristics of urban industrial points and multi-dimensional morphological characteristics of urban space three-dimensional entities. According to the invention, determination of urban land parcel land properties in the field of urban planning and design can be handled; the high-efficiency automatic fine identification of urban land properties of different scales based on an artificial intelligence system is achieved, an efficient and convenient surveying and mapping path and reference are provided for measurement and drawing of urban current situation construction land, and the time cost of manual surveying and mapping is effectively saved.

The invention relates to the field of urban planning, and provides an urban multi-source data-based street space quality measurement evaluation method, which comprises the following steps of: obtaining urban road network data and interest point data in a research area, and preprocessing the urban road network data and the interest point data to obtain street view sampling points; obtaining a plurality of groups of streetscape image data through streetscape sampling points; inputting each piece of streetscape image data into the trained semantic feature extraction model to obtain a streetscapesemantic element data table; constructing a measure evaluation index of the urban street space quality through a street view semantic element data table, the interest point data and the urban road network data; and obtaining the distribution rule and the distribution mode of the urban space quality through the measure evaluation index of the urban street space quality. According to the invention,the street quality is researched on the microcosmic scale, the research range is widened, research is carried out on the perspective of the urban macroscopic level, and the accuracy of street space quality measurement can be remarkably improved.

The invention discloses a urban traffic control area division method and device. The method comprises the following steps: acquiring region characteristic data, and performing gridding on the data toobtain first characteristic data, analyzing the first characteristic data to obtain a space distribution density of the urban traffic, and determining a Thiessen polygon network of the urban traffic according to road network space data; and performing data stacking on the space distribution density of the urban traffic and the Thiessen polygon network so as to determine the boundary of each control area of the urban traffic. The used regional characteristic data is suitable for multiple data sources capable of representing the region traffic characteristics, the Thiessen polygon network obtained through the space distribution density and the road network space data can efficiently and accurately detect and understand the urban space, thereby quickly and effectively performing space slicingon the city on finer space resolution and obtaining an appropriate urban traffic control area.

The invention discloses a method for simulating urban expansion based on the division of spatial functions. The method of the invention fully considers the widespread existence of obstacles in urban expansion, the existence of multi-space entities, and the different modes of action of each entity. Heterogeneity features reasonably divide urban space, define the spatial function of different morphological entities, and construct reasonable conversion rules for each region. The process of urban expansion can be more realistically simulated by adopting the method of the invention.

The invention discloses a method for manufacturing and displaying a large-scale urban space energy consumption digital map. The method comprises the following steps of: performing data simplification on urban space form three-dimensional data, establishing a pixel corresponding to needed data type, converting the pixel into urban three-dimensional vector information data, and loading into a geographic information system; establishing an urban space energy consumption database, uploading space energy consumption big data immediately; connecting a three-dimensional vector information module with an urban space energy consumption database; importing data and image information from the database, performing data superimposition according to geographical coordinates, and exporting a digital map capable of displaying urban space energy consumption. According to the method, urban space energy consumption data is combined with an urban digital map system in a vector image mode, so that spatial visualization display of urban space energy consumption is realized; by virtue of the digital map, the space energy consumption condition of a whole city can be mastered; based on a cloud data technology of a computer, automatic calculation processing of urban space energy consumption mass data is realized, and time-consuming and labor-consuming manual data processing is avoided.

The invention discloses an urban indoor and outdoor integration three-dimensional scene construction and space adaptive navigation method, which comprises the following steps: on the basis of ALS (Approach and Landing Simulator) point cloud data, constructing an urban space model; creating an indoor three-dimensional scene system and a texture database; carrying out indoor and outdoor integration scene construction and model structure optimization: carrying out three-dimensional model and information integration based on Google Earth and SketchUP platforms; selecting a QR (Quick Response) Code two-dimensional code to design an anchor point; constructing an anchor point-user distance model; and carrying out adaptive indoor and outdoor positioning switching. The method has the advantages that an urban indoor and outdoor integration model is constructed by the ALS cloud point data, an accurate indoor and outdoor space scene is constructed and integrated on the Google Earth platform by a modeling system, WiFi and a two-dimensional code technology are combined to develop an indoor and outdoor space adaptive navigation service, the construction of the urban indoor and outdoor integration three-dimensional scene model and indoor and outdoor real-time positioning are realized, positioning accuracy is high, and space positioning information is provided.

The invention discloses a digital city space positioning method based on an unreal engine. The method comprises the following steps: constructing a three-dimensional layer of a current city, determining the coordinates of a building located in a plane space coordinate system of the unreal engine, calculating the x-axis, y-axis and z-axis coordinates of a to-be-positioned layer, constructing a cube according to x-axis, y-axis and z-axis coordinates, and displaying the cube through color change. Compared with a traditional GIS digital twinning technology, the digital twinning city space positioning method based on the unreal engine has the advantages that a real three-dimensional space is realized; and compared with an algorithm of a BIM system, model construction does not need to be carried out on the interior of the building model, the twin city resource occupancy rate is saved by 70% or above, the twin city construction workload is reduced by 60%, and the positioning method is rapid to implement, variable in precision and capable of changing the precision at will according to different city scenes of technical application.

The invention discloses an air quality monitoring station position recommendation method based on a high-order graph convolutional network, and belongs to the technical field of environment detection,and the method comprises the steps: collecting external environment feature data of a whole urban area and air quality distribution data of an established observation station node area; based on theair quality distribution inference model corresponding to the urban area, predicting the air quality AQI distribution of any area where no observation station node is established by using the air quality distribution data of the established observation station node area and the external environment characteristic data of the whole urban area; and recommending a new air quality monitoring station location according to the air quality AQI distribution of any area where the observation station node is not established and an information entropy minimization greedy algorithm based on relevance between urban space-time diagram nodes. Based on the original urban monitoring equipment, a plurality of optimal station positions with practical application values is recommended to newly build the monitoring equipment, so that the precision of predicting the air quality distribution of the whole city by the air inference model can be improved to the greatest extent.

The invention discloses a user activity space recognition method based on mobile phone signaling, and the method achieves the automatic recognition of activity points of a user through employing a space-time clustering model, builds the correlation between discrete staying points, and improves the grouping accuracy of the staying points. Moreover, the identification of living, working and other activity purposes is realized by establishing the activity rule index of the user, so that the authenticity and accuracy of the user activity rule are improved; besides, the activity rule of the user isidentified through the identification method so that identification of living, working and other activity objectives of the user can be realized. The authenticity and the accuracy of the activity rule of the user are improved, the activity rule and the activity purpose of the user can be dynamically mastered, the resident travel survey cost is reduced, and the traffic demand prediction is more accurate; and the scientificity of planning and layout construction of residential land, post land, various public service facilities and the like in urban space planning can be improved.

The invention provides an urban space 5G base station site selection optimization method considering a signal blocking effect. An artificial immune intelligent optimization model of a 5G communicationbase station is constructed, the number and the spatial layout of the communication base stations are optimized on the premise of considering the blocking effect of urban buildings on communication signals, and the number of the base stations and the maximization of the signal coverage range of the base stations are reasonably controlled. A CSA algorithm is adopted as an optimization decision algorithm, a spatial layout optimization technology with high calculation efficiency and high result feasibility is provided for basic characteristics and solving requirements of a spatial layout optimization problem of the 5G communication base station, and automatic and intelligent spatial layout site selection of the 5G communication base station is realized. The GIS technology is coupled with themulti-source geographic data and the space optimization decision method, so that the 5G signal service quality is effectively improved, the deployment and construction cost of the base station and the operation economic cost of the base station are reduced, and a decision basis and technical support are provided for planning and construction of the 5G communication base station in the future.

The invention discloses a personal automatically-controlled light maglev rail transit system capable of changing rails. An electromagnetic coil is arranged at the bottom of a personal maglev vehicle compartment; a metal bottom plate is arranged on the bottom plane of a rail; by using a magnetic pole principle that an electromagnetic field moves on metal to generate that like poles repel, the levitation of the vehicle is realized; the driving of a personal maglev vehicle uses a linear motor working principle; the maglev vehicle is guided by using a principle that the like magnetic poles repel;rotating guide arms are arranged on the two sides of the personal maglev vehicle compartment; induction coils are arranged on the rotating guide arms; and the induction coils work together with guiding electromagnetic coils in n-shaped guide grooves to realize guiding. The personal automatically-controlled light maglev rail transit system capable of changing the rails has the advantages that the running speed of the personal maglev vehicle is low, the energy consumed by the personal maglev vehicle is less, problems on electromagnetic radiation and running safety of an existing maglev train aresolved, and meanwhile, defects such as large investment, long construction period, high operation cost, large occupied urban space resource and the like of maglev rail transit are eliminated.

The invention provides an urban mesoscopic layer real demographic method based on mobile phone signaling. The method is used for counting relevant indexes of real population in a city through mobile phone signaling data, collected by mobile phone base stations, of users, and is characterized by comprising the following steps that S1, importing the mobile phone signaling data collected by the mobile phone base stations, and extracting individual travel chains of the users; S2, performing user type identification on the user according to the individual travel chain, and performing statistics onthe real population data on the scale of the mobile phone base station; Step S3, establishing a conversion relationship between the mobile phone base station and the urban space unit of the city; AndS4, carrying out conversion calculation on the actual population indexes of the urban space units according to the actual population data of the mobile phone base stations and the conversion relationship.

The invention discloses a simple system for simulating the nature and increasing the content of negative oxygen ions in an urban area. The simple system comprises a low-position negative oxygen accumulation pool, eight downward unique lamp-type nozzles are arranged around the pool, upward cylindrical lamp-type nozzles are arranged in the center of the pool, the simple system also comprises a high-position reservoir, indoor and outdoor negative oxygen ion detectors, nano-bubble generation devices, a water pump, a solar generating device, and a lamp-type nozzle arranged above a crown cover, the system is formed in a range with small urban space, and current collision and field effect cutting similar to the generation of the negative oxygen ions by forests and waterfalls in the nature are continuously generated via its own power. According to the simple system, a lot of negative oxygen ions can be simply and practically generated in a long term in a recycling manner with low cost and high output, the defect of the generation of the negative oxygen ions by various modes is overcome, and environmental, social, and economic benefits are huge.

The invention relates to a method for forming a compact and smooth city. By reconstructing an urban space structure system, the internal driving force for spreading an urban district which is formed by three environmental deterioration factors of traffic congestion of persons and vehicles, insufficient parking spaces and disordered persons and vehicles at outdoor spaces is eliminated, and the internal driving force for compacting the urban district is generated, so that the internal dynamic mechanism of a city is changed from the current 'crowded-spreading-more crowded' mode into a 'smooth-compact-smoother' mode; therefore, a compact, smooth and livable city is formed. The urban space structure system is reconstructed by adopting a space structure system in which the persons and the vehicles are fully separated, wherein the space structure system consists of ground level roads which are used for the vehicles only, large-area ground parking garages, large-area overhead platforms which are used for human activities only and are arranged above the ground level roads and the ground parking garages, and the like.