WO2018152942A1

WO2018152942A1 - Method for constructing urban space holographic map based on multi-source big data fusion

Info

Publication number: WO2018152942A1
Application number: PCT/CN2017/080381
Authority: WO
Inventors: 杨俊宴; 熊伟婷
Original assignee: 东南大学
Priority date: 2017-02-22
Filing date: 2017-04-13
Publication date: 2018-08-30
Also published as: CN106897417A; CN106897417B

Abstract

A method for constructing an urban space holographic map based on multi-source big data fusion. Green vegetation, municipal engineer projects, the physical environment (comprising the urban noise environment, urban wind environment, urban heat environment, and heat island effect), industrial institution POI, human and traffic activities, human perception evaluations within the coverage of an entire urban space are mapped to a cloud database via different layers, different types of data and spatial features are combined with urban space patterns and intuitively and dynamically displayed and outputted, and made available for real-time detection by various urban systems, thus facilitating the implementation of urban planning and design projects. The present method, based on a cloud data end, is capable of handling the processing of massive data and performing real-time quick query and display; by superimposing multi-source big data and urban space pattern data under a same digital map system, implemented are urban coordinate system-based seamless and continuous collection of multi-source data interfaces and analog dynamic display of spatial features.

Description

Method for constructing urban space holographic map based on multi-source big data fusion

Technical field

The invention relates to a construction and visualization technology of an urban spatial holographic map, and more particularly to a method for constructing an urban spatial holographic map based on multi-source big data fusion.

Background technique

With the development of information technology, information intelligence has become a mainstream development in the contemporary era, which leads to the huge amount of information generated in daily life, which constitutes a city holographic digital map. Compared with the traditional paper map, it only indicates the role of street, place name and distance. The holographic digital map has the characteristics of positioning, visualization and real-time monitoring. More importantly, the urban holographic digital map will carry out comprehensive and comprehensive information expression and analysis from the surface to the deep, from the real to the virtual to the various systems and units of the city.

Therefore, how to apply high-tech means to obtain data of various systems in the city, and at the same time integrate and spatially connect through GIS, carry out research on spatial and temporal distribution characteristics of urban systems, and study the coupling characteristics between systems to meet the increasingly large Urban big data is one of the challenges facing urban planning for urban design and decision-making needs and urban management needs.

At present, the main data collection and visualization of multi-source big data in cities at home and abroad are mostly displayed in the form of graphs and animations, and less attention is paid to the interaction between urban data systems and large-scale urban spatial forms and architectural spatial layouts. There is a lack of production and dynamic display technology for holographic digital map systems based on full coverage of urban space. At present, in the production technology of urban space holographic maps, there is a lack of urban geospatial coordinates, which stays in a single dimension of data processing, and is lagging behind in the field of large-scale composite data urban space holographic map production and display.

Summary of the invention

OBJECT OF THE INVENTION In order to solve the above technical problems, the present invention provides a method for constructing a holographic map of urban multi-source big data, which includes green vegetation, municipal engineering, and physical environment (including urban noise environment and urban wind) within the entire spatial coverage of the city. Environmental, urban thermal environment and heat island effect), industrial organization POI, human-car activities, humanistic experience evaluation through different layers mapped to the cloud database, combined with urban spatial form, different types of data space features are displayed visually and dynamically, available The real-time detection of various urban systems is conducive to the practice of urban planning and design engineering. Compared with the prior art, the present invention provides a method for real-time integrated processing and display of large-scale composite data.

Technical solutions:

A method for constructing an urban spatial holographic map based on multi-source big data fusion, comprising the steps of:

A. The multi-level urban elements of road-street-architecture are extracted through satellite remote sensing maps; the land use identification is carried out through the open street map platform, and the land boundary and nature of each street area are delineated, and the massive pictures of streetscape are used for information. Correction; through the valley software platform, the elevation point values and spatial locations contained in Google Maps, urban contour lines and spatial locations are captured, and the city's natural topographical database is obtained; the space will be shared with the city's natural topographical database. Superimposed to obtain the basic database of urban spatial form, which is the base of urban spatial holographic map.

B. Data collection on green vegetation, municipal engineering, physical environment, industrial organization POI, human-car activities, and humanistic experience evaluation, and input into the urban spatial information platform through data cleaning;

C. The data collected in step B is spatially scaled, translated, and rotated spatially, so that they can be spatially aligned with the urban spatial form base database, and the urban spatial form data can be imported into the information processing platform. To organize and manage different layers, and construct a spatial analysis basic model of urban space holographic maps based on the same spatial location;

D. Input the above-mentioned multi-class data into the system in a unified data format, and organize the data organization according to the requirements, and have a unified land parcel data processing unit between the data to obtain comprehensive information of the holographic map;

E. According to the needs of spatial analysis, the combination and correlation analysis of various multi-source data of two or two objects, obtain the comprehensive information of multi-source data fusion features, publish the analysis results through geographic information system, and construct urban spatial holography map.

The three-dimensional visualization software and hardware are used to display and display the constructed urban spatial holographic map, and finally form a space-time visual query display terminal.

The data collected in the step B is specifically:

B1. From the plane point of view, the green quantity refers to the sum of the green quantity of the foliage, green land and coverage area; from the perspective of the multi-layer structure of the plant, the measurement of the green quantity is measured by the total area of the leaf area and the index; Look, the green quantity includes the green view rate, the green three-dimensional quantity, and the annual tourist quantity indicator;

B2. Municipal works cover urban infrastructure, urban water supply and drainage and pipe networks, urban lighting systems, urban sewage and garbage disposal facilities;

B3. The urban physical environment refers to various urban microclimate environments including urban thermal environment, urban wind environment and urban noise environment;

B4. Industrial organization POI is the physical representation of the population in carrying out various activities, including spatial location, industry category Different from the institutional area, which divides the industry category into social service functions, production service functions, and life service functions;

B5. People and vehicles activities include anonymous mobile phone signaling user activities, public transportation activities, subway commuting activities, electric energy consumption, and traffic flow. The number of mobile phone user activities is calculated by using the mobile phone base station cell as the basic unit, and the user is calculated by the method of Tyson polygon. The quantity is allocated to each spatial form land plot according to the proportion of land area;

B6. The evaluation of humanistic feelings is based on the evaluation and analysis of the psychological keywords of the public sharing platform, specifically the quantitative translation and output of the words and phrases of emotions.

In the step C, the data collected in the step B is respectively rotated, scaled, translated, and the like in the spatial position, and the specific processing is as follows:

C1. Determine the unit volume leaf area of the individual sample plants by field survey, determine the leaf area per unit volume of the individual sample plants, and statistically superimpose the total leaf area of the whole plot, and drop the green quantity values of each plot to In the spatial position, the green volume ratio of each plot is calculated; as follows:

Green floor area ratio = total leaf area / land area

Total leaf area = unit volume leaf area × crown volume

C2. Space the infrastructure, where the official network line is drawn with reference to the urban road, and the infrastructure points to the spatial position of the city block;

C3. Using the technical method combining simulation and actual measurement, based on LANDSAT series micro, GIS as data processing platform, acquiring micro remote sensing data, used in simulation and analysis of urban thermal environment; establishing CAD 3D modeling based on spatial morphology database And import the FLAIR module of phoenics, and pre-processing settings in phoenics, divide the calculation grid according to the real model, get the section and monitoring jump to the calculation section, implement the monitoring iteration steps and residuals, and translate the final analysis result to The same position coordinate of the spatial shape database is applied to the simulation and analysis of the urban wind environment; the urban spatial shape model is imported into the SoundPlan software, and the physical noise source is assigned to be used for the simulation and analysis of the urban acoustic environment;

C4. Through the capture of the feature points of the urban business point in Baidu map, the basic urban POI basic database is formed. At the same time, through the spatial operation of the overall database, it can correspond to the spatial position of the urban spatial form database;

Among them, the density of the business sites in the land block = the total number of business sites / the land area, the unit: one / m2;

C5. Collect and clean anonymously encrypted mobile phone signaling data, and assume that the population radiated to each area of each signaling base station cell is evenly distributed, and the population of each mobile phone signaling base station is calculated by using the method of Tyson polygon. Density, and equally distribute this population density value space to the corresponding divided plots;

Among them, the number of mobile phone users in parcel A = (the size of parcel A area / the total area of all parcels in the Tyson polygon) * the total number of mobile phone users at the base station, unit: person;

C6. Through the data analysis of the open platform of the public platform, select the terms with emotional value sharing and geographic coordinate positioning, and quantitatively score through software analysis to obtain the emotional database.

The step D is specifically:

D1. Comprehensively model a single type of big data, import it into the GIS database, and align the six types of data according to the unified data format, so that the value of each type of data can be compared with other types of data. Achieve spatial coupling;

D2. Perform multi-level data format conversion to convert data types of different formats into unified or mutually convertible data formats.

D3. Unify the six types of data after alignment into the basic statistical unit enclosed by urban roads, that is, the basic unit of each block contains green vegetation, municipal engineering, physical environment, industrial organization POI, and human activities. Humanistic feelings evaluate the data of the six clusters.

The step E is specifically:

E1. Spatial distribution characteristics of six types of big data projections into space, including spatial distribution characteristics of urban green volume, urban municipal engineering features, urban wind, sound, thermal environment spatial distribution characteristics, urban functional structure, urban dynamic and static Distribution characteristics of people and vehicles activities and city sentiment maps;

E2. Based on the spatial distribution characteristics of each type of big data, the characteristic analysis of the qualitative correlation between the two pairs of data is carried out, and the SPSS software is used to construct the internal mechanism feature model of the comprehensive information base.

Support for exporting 2D display image formats are DWG, JPEG, PDF, EPS, PNG, GIF, TIFF; support for exporting 3D display image formats are DWG, 3ds, skp, CityGML.

Advantageous Effects: Compared with the prior art, the advantage of the present invention is that, based on the cloud data end, it can cope with the processing of massive data, and perform real-time quick query display; by superimposing multi-source big data and urban spatial shape data in the same Under the digital map system, the seamless connection acquisition of multi-source data excuses based on the urban coordinate system and the simulated dynamic display of spatial features are realized;

1. The present invention realizes a city-based city by superimposing natural landforms, green vegetation, municipal engineering, building plots, human POIs, crowd activities, and physical environment multi-source big data and urban spatial form data under the same digital map system. Dynamic display of multi-source big data simulation of coordinate system. The digital map divides multiple layers corresponding to corresponding multi-source big data elements and urban spatial form elements, which is beneficial to classification management and selection operations, and the selection function can be quickly selected. Display range, which reduces manual labor, facilitates data input and output, and quickly exports images.

2. The invention seamlessly combines multi-source big data elements, urban spatial form data and computer cloud database multiple interfaces, realizes rapid acquisition and visual query display of massive data, and provides data for government functional departments and architectural design and urban planning fields. access.

3. The holographic map of urban multi-source big data elements produced by the invention can display the required data and images dynamically on the computer by selecting the query display, which is beneficial to the study of the coupling relationship between the urban multi-source big data elements and the urban spatial form. Further, it provides decision-making solutions for urban system improvement and spatial shape optimization.

DRAWINGS

1 is a structural framework diagram of a method for constructing and visualizing an urban spatial holographic map based on multi-source big data fusion according to the present invention;

2 is a schematic view showing a range of introduction of the present invention in an urban space holographic map;

3 is a schematic diagram of structural components of a multi-source large number holographic map cloud database of the present invention;

4 is a schematic diagram of a basic database of urban spatial form of the present invention;

Figure 5 is a schematic diagram of a city green quantity vegetation database of the present invention;

Figure 6 is a schematic diagram of a city municipal engineering database of the present invention;

7 is a schematic diagram of a database of the urban physical environment (including urban noise environment, urban wind environment, urban thermal environment, and heat island effect) of the present invention;

8 is a schematic diagram of a POI database of a city industrial organization according to the present invention;

9 is a schematic diagram of a city human-car activity database of the present invention;

10 is a schematic diagram of a city humanistic feeling evaluation database of the present invention;

detailed description

The present invention will be further described below in conjunction with the accompanying drawings.

The following will be combined with the central area of Nanjing Xinjiekou (with an area of about 5.7 square kilometers, the distance between the north and south ends is about 3.9 kilometers, and the distance between the east and the west is about 3.2 kilometers. It is the integrated main center of Nanjing, which is commercial, business, cultural and entertainment. A method for constructing and visualizing a spatial holographic map of a multi-source big data fusion based on a multi-source big data fusion case and a drawing method to explain the technical solution of the present invention (see FIG. 2), the present invention includes the following steps:

A. Through satellite remote sensing, drone technology combined with the detection of openstreet map background data, the building, road and block space elements in the central area of Xinjiekou are extracted and electronically vectorized, and real-time correction is performed using the street view image of Baidu online map platform. At the same time, use the valley software platform to capture urban elevation data, cities, etc. in Google Maps. The natural geomorphological information, including the high-line data, spatially superimposes the two to form the base of the spatial holographic map in the central area of Xinjiekou;

A1. Extracting urban elements of the multi-level Xinjiekou central area of the road-street-building through satellite remote sensing maps;

A2. Use the open street map platform to identify the land use, delineate the boundary and nature of the land in each block, and use the massive picture of the street view to correct the information;

A3. Through the valley software platform, the value of the elevation point and the spatial position, the contour line and the spatial position of the city in the Google map are captured, and the basic feature library of the natural terrain of the Xinjiekou central area is obtained;

A4. Spatially superimposing the above two types of urban elements to obtain the research base of the spatial holographic map of the central area of Xinjiekou.

A5. Import the information described in A4 into the ArcGIS geographic information system to form the basic database of the spatial form of the Xinjiekou central area (Figure 4).

B. Data collection for green vegetation, municipal engineering, physical environment (including urban noise environment, urban wind environment, urban thermal environment and heat island effect), industrial organization POI, human-car activities, and humanistic experience evaluation (Figure 3) . Among them, the specific content of each data is:

B1. From the plane point of view, the green quantity refers to the sum of the green quantity of the foliage, green land and coverage area; from the perspective of the multi-layer structure of the plant, the measurement of the green quantity is more accurate by the total area of the leaf area and the index; In terms of space, the amount of green should include the green rate (percentage), the three-dimensional amount of greening, and the annual tourist volume indicator;

B2. Municipal engineering covers urban infrastructure (taking bridges and culverts, embankments, tunnels as examples), urban water supply and drainage and pipe networks, urban lighting systems, urban sewage and garbage disposal facilities, and the most direct manifestation is the construction of sponge cities;

B3. Urban physical environment refers to various urban microclimate environments, such as urban thermal environment, urban wind environment and urban noise environment, which are data indicators that directly affect various comfort levels of cities;

B4. Industrial organization POI is the physical representation of the population in carrying out various activities, including spatial location, industry category and institutional area information, which divides the industry category into social service function, production service function and life service function;

B5. The activities of people and vehicles cover a wide range, including anonymous mobile phone signaling user activities, public transportation activities, subway commuting activities, electric energy consumption, and traffic flow. The number of mobile phone user activities is calculated by using the mobile phone base station cell as the basic unit through the Tyson polygon. The calculation method allocates the number of users to the land parcels in each spatial form according to the area ratio of the land;

B6. Humanistic feeling evaluation is based on the evaluation and analysis of the psychological keywords of Weibo and WeChat public sharing platform, specifically the quantitative translation and output of emotional words and phrases.

C. The different objects of the above six types of big data groups are spatially projected, scaled, and translated into spatial space, so that they can respectively achieve spatial alignment with the urban spatial form base database, and together with the urban spatial form The data is imported into the information processing platform to carry out unified organization management and establish different layers, and construct a spatial analysis basic model of the spatial holographic map of the Xinjiekou central area based on the same spatial location; the specific steps are as follows:

C1. Through on-the-spot reconnaissance, determine the tree species classification, plant number, and DBH basic data in the sample site, determine the leaf area per unit volume of the individual sample plants, and simultaneously calculate the total green amount of the whole plot (the total leaf area of the site). And the green volume ratio of each plot falls to the spatial position (Figure 5);

Green floor area ratio = total leaf area / land area

Total leaf area = unit volume leaf area × crown volume

C2. Space the urban water supply and drainage and pipe network, urban sewage and garbage disposal infrastructure, where the official network route is drawn with reference to the urban road, and the infrastructure points to the spatial position of the city block (Figure 6);

C3. Using the technical method combining simulation and actual measurement, based on LANDSAT series micro, GIS as data processing platform, acquiring micro remote sensing data, used in simulation and analysis of urban thermal environment; establishing CAD 3D modeling based on spatial morphology database And import the FLAIR module of phoenics, and pre-processing settings in phoenics, divide the calculation grid according to the real model, get the section and monitoring jump to the calculation section, implement the monitoring iteration steps and residuals, and translate the final analysis result to The same position coordinates of the spatial shape database are applied to the simulation and analysis of the urban wind environment; the urban spatial shape model is imported into the SoundPlan software, and the traffic noise and industrial noise sources are assigned, and used for the simulation and analysis of the urban acoustic environment (as shown in the figure). 7).

C4. Through the capture of the feature points of the urban business point in Baidu map, the basic urban POI basic database is formed. At the same time, through the translation, scaling and rotating space operations of the overall database, it can make room with the urban spatial form database. Correspondence of position (Figure 8);

The density of the business sites in the plot = the total number of business sites / the area of the plot, in units of / m2.

C5. Collect and clean anonymously encrypted mobile phone signaling data, and assume that the population radiated to each area of each signaling base station cell is evenly distributed, and the population of each mobile phone signaling base station is calculated by using the method of Tyson polygon. Density, and this population density value space is evenly distributed to the corresponding divided plots. In the process, the number of very small users assigned to the road is ignored (Figure 9);

Number of mobile phone users in parcel A = (Plot A area/sum of all parcels in Tyson polygon) * Total number of mobile phone users at the base station, unit: person.

C6. Through the data analysis of Weibo and WeChat background open platform, select the emotional value sharing and geographic coordinates The microblog entry is located and scored by software analysis to obtain a sentiment database (Figure 10).

D. The above-mentioned multi-class data is input into the ArcGIS geographic information system in a unified data format, and the data organization management is performed as required, and each data has a unified land parcel data processing unit, that is, each unit contains “1+6”. "Big data group (where "1" refers to the basic database of the spatial form of Xinjiekou Central District, and "6" refers to the green vegetation, municipal engineering, physical environment, industrial organization POI, human-car activities, and Multi-source information in the Humanistic Experience Evaluation Database), obtaining comprehensive information of the holographic map; specifically:

D1. Comprehensively model a single type of big data, import it into the GIS database, and align the six types of data according to the unified data format, so that the value of each type of data can be compared with the other six types of data. Numerical implementation of spatial coupling;

D2. Perform multi-level data format conversion, and convert 7 different types of data types into unified or mutually convertible data formats;

D3. Unify the seven types of data after alignment into the basic statistical unit enclosed by urban roads, that is, the basic unit of each block contains green vegetation, municipal engineering, physical environment (including urban noise environment, city). Wind environment, urban thermal environment and heat island effect), industrial organization POI, human-car activities, humanistic experience evaluation data of seven clusters (Figure 11).

E. According to the needs of spatial analysis, the combination and correlation analysis of various two- or multi-object multi-source data is carried out, and the comprehensive information of multi-source data fusion features is obtained, and the analysis results are released through the geographic information system; specifically:

F. Using 3D visualization software and hardware (naked-eye 3D projector) for presentation and presentation, and finally forming a space-time visual query display terminal; can support exporting 2D display image formats including DWG, JPEG, PDF, EPS, PNG, GIF, TIFF, Supports exporting 3D display image formats such as DWG, 3ds, skp, and CityGML.

The above description is only a preferred embodiment of the present invention, and it should be noted that those skilled in the art can also make several improvements and retouchings without departing from the principles of the present invention. It should be considered as the scope of protection of the present invention.

Claims

A method for constructing an urban spatial holographic map based on multi-source big data fusion, comprising: steps:

A. The multi-level urban elements of road-street-architecture are extracted through satellite remote sensing maps; the land use identification is carried out through the open street map platform, and the land boundary and nature of each street area are delineated, and the massive pictures of streetscape are used for information. Correction; through the valley software platform, the elevation point values and spatial locations contained in Google Maps, urban contour lines and spatial locations are captured, and the city's natural topographical database is obtained; the space will be shared with the city's natural topographical database. Superimposed to obtain the basic database of urban spatial form, which is the base of urban spatial holographic map.

B. Data collection on green vegetation, municipal engineering, physical environment, industrial organization POI, human-car activities, and humanistic experience evaluation, and input into the urban spatial information platform through data cleaning;

C. The data collected in step B is spatially scaled, translated, and rotated spatially, so that they can be spatially aligned with the urban spatial form base database, and the urban spatial form data can be imported into the information processing platform. To organize and manage different layers, and construct a spatial analysis basic model of urban space holographic maps based on the same spatial location;

D. Input the above-mentioned multi-class data into the system in a unified data format, and organize the data organization according to the requirements, and have a unified land parcel data processing unit between the data to obtain comprehensive information of the holographic map;

E. According to the needs of spatial analysis, carry out the combination and correlation analysis of various multi-source data of two or more objects, obtain the comprehensive information of multi-source data fusion features, and publish the analysis results through GIS to obtain the holographic map of urban space. .
The construction method according to claim 1, wherein the constructed urban spatial holographic map is presented and presented by using three-dimensional visualization software and hardware, and finally a space-time visual query display terminal is formed.
The method for constructing a holographic map of an urban space according to claim 1, wherein each of the data collected in the step B is specifically:

B1. From the plane point of view, the green quantity refers to the sum of the green quantity of the foliage, green land and coverage area; from the perspective of the multi-layer structure of the plant, the measurement of the green quantity is measured by the total area of the leaf area and the index; Look, the green quantity includes the green view rate, the green three-dimensional quantity, and the annual tourist quantity indicator;

B2. Municipal works cover urban infrastructure, urban water supply and drainage and pipe networks, urban lighting systems, urban sewage and garbage disposal facilities;

B3. The urban physical environment refers to various urban microclimate environments including urban thermal environment, urban wind environment and urban noise environment;

B4. Industrial organization POI is the physical representation of the population in carrying out various activities, including spatial location, industrial category and institutional area, of which the industrial category is divided into social service function, production service function and life service function;

B5. People and vehicles activities include anonymous mobile phone signaling user activities, public transportation activities, subway commuting activities, electric energy consumption, and traffic flow. The number of mobile phone user activities is calculated by using the mobile phone base station cell as the basic unit, and the user is calculated by the method of Tyson polygon. The quantity is allocated to each spatial form land plot according to the proportion of land area;

B6. The evaluation of humanistic feelings is based on the evaluation and analysis of the psychological keywords of the public sharing platform, specifically the quantitative translation and output of the words and phrases of emotions.
The method for constructing a holographic map of an urban space according to claim 3, wherein the step C performs the processing of rotating, scaling, and translating the data collected in the step B by:

C1. Determine the unit volume leaf area of the individual sample plants by field survey, determine the leaf area per unit volume of the individual sample plants, and statistically superimpose the total leaf area of the whole plot, and drop the green quantity values of each plot to In the spatial position, the green volume ratio of each plot is calculated; as follows:

Green floor area ratio = total leaf area / land area

Total leaf area = unit volume leaf area × crown volume

C2. Space the infrastructure, where the official network line is drawn with reference to the urban road, and the infrastructure points to the spatial position of the city block;

C3. Using the technical method combining simulation and actual measurement, based on LANDSAT series micro, GIS as data processing platform, acquiring micro remote sensing data, used in simulation and analysis of urban thermal environment; establishing CAD 3D modeling based on spatial morphology database And import the FLAIR module of phoenics, and pre-processing settings in phoenics, divide the calculation grid according to the real model, get the section and monitoring jump to the calculation section, implement the monitoring iteration steps and residuals, and translate the final analysis result to The same position coordinate of the spatial shape database is applied to the simulation and analysis of the urban wind environment; the urban spatial shape model is imported into the SoundPlan software, and the physical noise source is assigned to be used for the simulation and analysis of the urban acoustic environment;

C4. Through the capture of the feature points of the urban business point in Baidu map, the basic urban POI basic database is formed. At the same time, through the spatial operation of the overall database, it can correspond to the spatial position of the urban spatial form database;

Among them, the density of the business point in the plot = the total number of business points / the area of the plot, the unit: one / m 2 ;

C5. Collect and clean anonymously encrypted mobile phone signaling data, and assume that the population radiated to each area of each signaling base station cell is evenly distributed, and the population of each mobile phone signaling base station is calculated by using the method of Tyson polygon. Density, and equally distribute this population density value space to the corresponding divided plots;

Among them, the number of mobile phone users in parcel A = (the size of parcel A area / the total area of all parcels in the Tyson polygon) * the total number of mobile phone users at the base station, unit: person;

C6. Through the data analysis of the open platform of the public platform, select the terms with emotional value sharing and geographic coordinate positioning, and quantitatively score through software analysis to obtain the emotional database.
The method for constructing a holographic map of a city space according to claim 1, wherein the step D is specifically:

D1. Comprehensively model a single type of big data, import it into the GIS database, and align the six types of data according to the unified data format, so that the value of each type of data can be compared with other types of data. Achieve spatial coupling;

D2. Perform multi-level data format conversion to convert data types of different formats into unified or mutually convertible data formats.

D3. Unify the six types of data after alignment into the basic statistical unit enclosed by urban roads, that is, the basic unit of each block contains green vegetation, municipal engineering, physical environment, industrial organization POI, and human activities. Humanistic feelings evaluate the data of the six clusters.
The method for constructing a holographic map of an urban space according to claim 1, wherein the step E is specifically:

E1. Spatial distribution characteristics of six types of big data projections into space, including spatial distribution characteristics of urban green volume, urban municipal engineering features, urban wind, sound, thermal environment spatial distribution characteristics, urban functional structure, urban dynamic and static Distribution characteristics of people and vehicles activities and city sentiment maps;

E2. Based on the spatial distribution characteristics of each type of big data, the characteristic analysis of the qualitative correlation between the two pairs of data is carried out, and the SPSS software is used to construct the internal mechanism feature model of the comprehensive information base.
The method for constructing a holographic map of an urban space according to claim 1, wherein the two-dimensional display image format is supported by DWG, JPEG, PDF, EPS, PNG, GIF, TIFF; and the three-dimensional display image format is supported by DWG, 3ds, skp, CityGML.