CN116229001A - Urban three-dimensional digital map generation method and system based on spatial entropy - Google Patents
Urban three-dimensional digital map generation method and system based on spatial entropy Download PDFInfo
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Abstract
The invention provides a space entropy-based city three-dimensional digital map generation method and system, and relates to the field of artificial intelligence city design. The urban three-dimensional digital map generation method comprises the steps of constructing a three-dimensional space digital map taking a land function block as a unit, measuring and displaying the space entropy of the block unit, collecting crowd vitality and public emotion data, secondarily judging the land to be updated and displaying the land to be early-warned, adjusting and checking the space entropy, feeding back and updating the space entropy, splicing the adjusted urban three-dimensional digital map, printing and outputting the three-dimensional digital map for planning, designing and managing personnel to refer to a large-scale urban three-dimensional digital map image manufacturing and displaying technology based on the space entropy, realizing accurate expression of the urban feature of a large scale with a wide range, realizing instant display of the urban feature of the whole range and quick disclosure of basic rules, and improving the working efficiency and accuracy of judging the urban feature of the urban feature.
Description
Technical Field
The invention relates to the technical field of artificial intelligence city design, in particular to a city three-dimensional digital map generation method and system based on space entropy.
Background
The urban landscape has guiding effects on setting up urban images, improving urban quality and optimizing urban space environment, and at present, research and practice on the urban landscape are concentrated in two aspects, namely, the urban landscape is analyzed and generalized to form content and components, so as to guide urban planning construction and building design; and secondly, researching specific practical experience of urban landscape construction. The space entropy is used as an important variable for representing the complexity of the urban space, can be introduced into a system for accurately measuring the multidimensional urban landscape characteristic index of a land block unit, and guides an efficient screening urban landscape modification unit so as to realize practical breakthrough of urban landscape characteristic identification and modification unit screening.
Disclosure of Invention
(one) solving the technical problems
Aiming at the defects of the prior art, the invention provides a space entropy-based urban three-dimensional digital map generation method and system, and an automatic and intelligent image making and displaying technology is provided for updating urban features based on space entropy, so that the accurate expression of large-scale urban features with wide range is realized, and the working efficiency and accuracy for judging the urban features are improved.
(II) technical scheme
In order to achieve the above purpose, the invention is realized by the following technical scheme:
in a first aspect, a method for generating a three-dimensional digital map of a city based on spatial entropy is provided, including:
acquiring three-dimensional oblique photography data of a target city, translating to obtain geographic information vector data, and inputting the geographic information vector data into a geographic information platform; after finishing data verification, carrying out superposition processing on the data, and constructing a basic sand table of the urban three-dimensional digital map; identifying the type of the land block unit through POI data, and dividing the target city into geographic space units taking land function land blocks as units;
constructing a space entropy measurement method, and measuring the building body volume scale entropy, building structure form entropy and building elevation surface skin entropy of different types of land-used block units; obtaining the spatial entropy value types of different types of land block units by adopting a natural break point method, establishing an entropy value result layer and an entropy value type layer of different types of spatial entropy digital maps, and setting according to the functional parameters of the digital layers to display the image result of the three-dimensional digital map of the target city;
collecting a target regional land block level detailed city design scheme, carrying out vectorization treatment, constructing a spatial entropy sample library, automatically matching samples in the spatial entropy sample library according to space attributes of land block units, calculating six types of spatial entropy values of the samples, marking urban land blocks which do not meet the spatial entropy threshold as possible land blocks to be updated and displaying the land blocks in a grading manner, collecting target regional crowd vitality data and public emotion data as secondary judging conditions for updating the land blocks, judging the land blocks to be updated and adding labels for displaying;
Building a three-dimensional digital map sensor of a city, recognizing the voice and the action of a user, building a space entropy adjustment instruction library, adjusting building height, building area and building color, checking whether the adjustment content meets the specification or not through the related specification conditions of the design style of a target city, and carrying out feedback update on the adjusted space entropy in the three-dimensional digital map;
and splicing and printing out the urban three-dimensional digital map after the space entropy adjustment, wherein the urban three-dimensional digital map comprises various space entropy adjustment front and back entropy values of the early warning land parcel unit, a bird's eye view image before and after the three-dimensional digital map is updated, and a space entropy value and a bird's eye view image after the space entropy adjustment of the early warning land parcel unit exceeding a threshold value, and the space entropy value and the bird's eye view image are used for reference by planning design and management staff.
Preferably, the three-dimensional oblique photography data of the target city is obtained, and the obtained geographic information vector data are translated and input into a geographic information platform; after finishing data verification, carrying out superposition processing on the data, and constructing a basic sand table of the urban three-dimensional digital map; and identifying the type of the land parcel unit by the POI data, and dividing the target city into geographic space units taking land parcel as a unit, wherein the method specifically comprises the following steps:
the method comprises the steps of collecting geographic information basic data, acquiring three-dimensional oblique photography data of a target city by using a surveying and mapping unmanned aerial vehicle of a laser radar point cloud data collecting system, loading a deep learning digital interpretation interface of a digital map, and inputting geographic information vector data obtained by translating the three-dimensional oblique photography data into a geographic information platform;
Constructing a three-dimensional digital map of a city, correcting and checking geographic information, converting three-dimensional oblique photographing data of a target city and geographic information vector data for completing data verification into a unified CGCS2000 coordinate system, carrying out data superposition processing according to geographic coordinates, and preparing the three-dimensional digital map of the city by depending on a geographic information platform;
the method comprises the steps of demarcating the types of land block units, acquiring target city POI data by loading POI data acquisition and land use identification interfaces of a digital map, giving different POI reference land use area values to different types of POI data, classifying the POI types according to the types of the land block units, and taking a dominant land block type with the largest area sum of the corresponding POI types in the land block units as a land use function of the land block units, wherein the specific calculation formula is as follows:
wherein i represents the type represented by the POI, fi represents the number of the i-th type POI in the block unit, S i And representing the assigned POI reference land area value, wherein m represents the total number of POI types in the land block unit, n represents the total number of POI types under the corresponding type of the land block unit, and finally determining the land function of the land block unit by comparing the C values of different types.
Preferably, the method for constructing the spatial entropy measure measures the building body volume scale entropy, building structure form entropy and building elevation surface skin entropy of different types of land-used block units; the method comprises the steps of obtaining the spatial entropy value types of different types of land parcel units by adopting a natural break point method, establishing an entropy value result layer and an entropy value type layer of different types of spatial entropy digital maps, and displaying the image result of a three-dimensional digital map of a target city according to the functional parameter setting of the digital map layer, wherein the method specifically comprises the following steps:
Measuring spatial entropy indexes, namely measuring spatial entropy indexes of three types of close relations between building body volume scale entropy, building structure form entropy and building facade surface entropy and building landscape, and measuring and calculating each land block unit of a target city through a loading index calculation module;
the building body measurement rule entropy comprises building height entropy and building substrate area entropy, the building structure form entropy comprises building main structure form entropy and building roof form entropy, and the building elevation surface entropy comprises building elevation color entropy and building elevation material entropy;
the basic formula of the spatial entropy index system is as follows:
wherein H (X) represents the result of measuring the spatial entropy of the object, n represents the total number of types of corresponding measurement standards, P i Representing the probability of X under the corresponding classification when taking i;
identifying and displaying the spatial entropy types, and dividing the land parcel units into three types of high entropy, medium entropy and low entropy by adopting a natural break point method for the spatial entropy values of different types obtained through calculation; loading a space entropy database interface in the digital map, establishing space matching of geographic information vector data and space entropy data of a target city according to geographic coordinates, establishing a different type of space entropy digital map entropy value result layer and an entropy type layer, and setting according to functional parameters of the digital layer to display an image result of the three-dimensional digital map of the target city;
The setting of the functional parameters of the digital map layer comprises that the digital map layer can be displayed in a layered or overlapped mode through a display setting function of the digital map layer, the hyperlink function of the digital map layer can be used for linking and checking the same result or entropy value units of the same type, the chart statistics function of the digital map layer can be used for recording the statistical characteristic chart result of the entropy value result of a certain type, and the real scene re-tracing function of the digital map layer can be used for roaming to a specific block unit to check the corresponding type characteristic under the three-dimensional oblique photography real scene image when checking the space entropy layers of different types.
Preferably, the method includes the steps of collecting a detailed urban design scheme at a block level of a target area, constructing a spatial entropy sample library, automatically matching samples in the spatial entropy sample library according to spatial attributes of block units, calculating six types of spatial entropy values of the samples, marking urban blocks which do not meet the spatial entropy threshold as possible blocks to be updated and displaying the blocks in a grading manner, collecting crowd activity data and public emotion data of the target area as secondary judging conditions for updating the blocks, judging the blocks to be updated and adding labels for display, and specifically includes the steps of:
Constructing a space entropy sample library, collecting a target regional land block level detailed city design scheme, intelligently translating the content of the design scheme into three-dimensional vector data, inputting the three-dimensional vector data into a three-dimensional digital map, constructing a target regional space entropy sample library, calculating land functions of all land blocks, and three space attribute values of a normalized boundary shape index, a normalized perimeter and a normalized area, and labeling the three space attribute values in a label form;
the space entropy threshold value is matched and judged, three large space attribute values of a target block unit are calculated, the unique sample data with the same functions and the minimum space attribute difference value in a space entropy sample library are automatically matched, then the space entropy measuring method calculates six types of space entropy values of matched samples, the maximum value and the minimum value of the six types of space entropy values of the samples are respectively used as judging standards of the six types of space entropy threshold values of the target block unit,
wherein, the formula of the spatial attribute difference value is as follows,
wherein Cn, ln and Sn are respectively the normalized shape index, perimeter and area value of the sample plot, and Cx, lx and Sx are respectively the normalized shape index, perimeter and area value of the sample plot;
extracting a super-threshold land block and displaying a possibly updated land block unit, taking six types of spatial entropy thresholds obtained by matching and judging the spatial entropy thresholds as judging standards, extracting a land block exceeding a threshold range, adding a spatial entropy type label exceeding the threshold, standardizing the spatial entropy value exceeding the range of the extracted land block, then respectively dividing the exceeding severity of the six types of spatial entropy thresholds into three grades of severity, medium and slight by a natural break method, marking the extracted land block with severity labels and marking the extracted land block as a possibly updated land block unit, and carrying out classified display by different colors in a three-dimensional digital map;
And (3) verifying crowd position and emotion data, displaying early warning updated land block judgment results, collecting crowd vitality data and public emotion data, loading the crowd vitality data and the public emotion data into a three-dimensional digital map through spatial association, carrying out secondary judgment on land block units possibly to be updated according to the crowd position and emotion data, marking land blocks meeting judgment conditions as the land block units to be updated for early warning, and displaying the land block units in the three-dimensional digital map.
Preferably, the building of the urban three-dimensional digital map sensor, recognizing the voice and the action of the user, building a spatial entropy adjustment instruction library, adjusting the building height, the building area and the building color, checking whether the adjustment content meets the specification through the related specification conditions of the design and the appearance of the target city, and carrying out feedback update on the adjusted spatial entropy in the three-dimensional digital map, wherein the method specifically comprises the following steps:
the method comprises the steps of user instruction voice and action recognition, loading a VR interaction adjustment module based on an urban landscape update interaction instruction in a three-dimensional digital map, wherein the VR interaction adjustment module comprises a voice recognition system, an action recognition wearable device carrying an inertial sensor and a handheld control system, and the user voice and user actions are recognized through conduction data calculation, and the user voice recognition comprises advancing, turning right, turning left, checking update early warning plots, checking update demand grades, adjusting building color space entropy, adjusting building area space entropy, adjusting building height space entropy, determining whether checking is yes or not; the user behavior comprises four actions of user walking, gaze steering, arm pointing and finger key touch;
The method comprises the steps of constructing a spatial entropy adjustment instruction library, constructing a spatial entropy adjustment instruction library according to recognized voices and actions, completing the functions of freely walking and browsing space, selecting and viewing detailed information of land parcels, displaying spatial entropy values, viewing and updating early warning land parcels information, viewing and updating demand levels, adjusting the dimensional spatial entropy of a building body, adjusting the spatial entropy of a building structure form and adjusting the spatial entropy of a building elevation surface, when a user confirms that certain type of spatial entropy adjustment is carried out, using the constructed spatial entropy sample library as a training set for deep learning, automatically randomly generating new building model data in a threshold range according to the type of spatial entropy threshold range corresponding to the land parcels, and repeatedly updating through adjustment instructions if the user is not satisfied;
and checking and feeding back standard conditions, namely collecting design standard conditions related to urban landscapes in a target area, carrying out intelligent examination on the data randomly generated after the user selects adjustment according to the standard conditions, inputting the data into a data updating system of the three-dimensional digital map if the examination is passed, and feeding back the data to the user again if the examination is not passed, wherein the design standard conditions related to the urban landscapes comprise the control requirements of building height, building density, volume rate, building roof type, building color and building material in the overall urban design of the target area.
Preferably, the splicing and printout of the urban three-dimensional digital map after the space entropy adjustment includes the entropy values before and after various space entropy adjustment of the early-warning land parcel unit, the aerial view before and after the update of the three-dimensional digital map, and the space entropy value and the aerial view after the space entropy adjustment of the early-warning land parcel unit exceeding the threshold value, for reference by planning, designing and management personnel, specifically including:
updating the generation and standard check of the urban three-dimensional digital map, splicing the adjusted land block data and the unadjusted land block data through spatial superposition to generate updated three-dimensional digital map data, and finally checking the spliced data according to the building sunshine interval and building fireproof interval standard in the controlled detailed planning;
and outputting the urban three-dimensional digital map data, integrating the spliced and checked updated urban three-dimensional digital map data with the data before updating, and printing and outputting the integrated and checked updated urban three-dimensional digital map data, wherein the output data comprises model aerial views before and after updating the urban three-dimensional digital map, model aerial views before and after updating the landform units, space entropy values before and after adjusting the landform units, and space entropy types of the to-be-updated landform units exceeding a threshold value for reference by planning design and management staff.
In a second aspect, there is provided a spatial entropy-based urban three-dimensional digital map generation system, the system comprising:
the basic data acquisition and display module is used for acquiring three-dimensional oblique photographic data of a target city, translating the three-dimensional oblique photographic data to obtain geographic information vector data and inputting the geographic information vector data into the geographic information platform; after finishing data verification, carrying out superposition processing on the data, and constructing a basic sand table of the urban three-dimensional digital map; identifying the type of the land block unit through POI data, and dividing the target city into geographic space units taking land function land blocks as units;
the spatial entropy measurement and display module is used for constructing a spatial entropy measurement method and measuring the building body volume scale entropy, the building structure form entropy and the building elevation surface skin entropy of the land parcel units of different types; obtaining the spatial entropy value types of different types of land block units by adopting a natural break point method, establishing an entropy value result layer and an entropy value type layer of different types of spatial entropy digital maps, and setting according to the functional parameters of the digital layers to display the image result of the three-dimensional digital map of the target city;
the space entropy threshold judging and early warning display module is used for collecting a target regional land block level detailed city design scheme, carrying out vectorization processing, constructing a space entropy sample library, automatically matching samples in the space entropy sample library according to space attributes of land block units, calculating six types of space entropy values of the samples, marking urban land blocks which do not meet the space entropy threshold as possible land blocks to be updated and displaying the possible land blocks in a grading manner, collecting target regional crowd activity data and public emotion data as secondary judging conditions for updating the land blocks, judging the land blocks to be updated and adding labels for displaying;
The urban three-dimensional space sand table interactive display and adjustment module is used for constructing an urban three-dimensional digital map sensor, identifying the voice and the action of a user, constructing a space entropy adjustment instruction library, adjusting building height, building area and building color, checking whether adjustment content meets the specification through the design and appearance related specification conditions of a target city, and carrying out feedback update on the adjusted space entropy in the three-dimensional digital map;
the result output module is used for splicing and printing out the urban three-dimensional digital map after the space entropy adjustment, and comprises various entropy values before and after the space entropy adjustment of the early-warning land block unit, a bird's eye view image before and after the three-dimensional digital map update, and the space entropy value and the bird's eye view image after the space entropy adjustment of the early-warning land block unit exceeding a threshold value, which are used for planning, designing and managing personnel to refer to;
the system is used for realizing the urban three-dimensional digital map generation method based on the spatial entropy.
In a third aspect, a terminal device is provided, including a memory, a processor, and a computer program stored in the memory and capable of running on the processor, where the memory stores the computer program capable of running on the processor, and when the processor loads and executes the computer program, the method for generating a three-dimensional digital map of a city based on spatial entropy is adopted.
In a fourth aspect, a computer readable storage medium storing a computer program is provided, which when executed by a processor implements the method for generating a three-dimensional digital map of a city based on spatial entropy.
(III) beneficial effects
(1) The invention relates to a space entropy-based urban three-dimensional digital map generation method and a space entropy-based urban three-dimensional digital map generation system, which are focused on the technology of making and displaying large-scale urban three-dimensional digital map images based on space entropy for the first time, wherein a three-dimensional digital map is constructed by combining urban three-dimensional oblique photographic data and geographic information vector data in the form of spatial entropy of building body volume scales, building structure forms and building elevation surfaces of target urban land units, so that the accurate expression of the feature of large-scale urban is realized, and the expression range is increased from original 1 square kilometer to more than 10 square kilometers
(2) According to the urban three-dimensional digital map generation method and system based on the space entropy, on the applicable scene, from the basic data acquisition of geographic information, the measurement of a space entropy index system, the judgment and early warning of a space entropy threshold value, and the interactive display and adjustment of a three-dimensional space sand table, a whole set of strict implementation operation flow is constructed, and further the space positioning and coupling analysis, the threshold value monitoring and the interactive adjustment are carried out on the large-scale urban feature, so that the basic functions of only readability, difficulty in interaction and low information quantity of a general urban map are changed, and the use scope of the large-scale urban three-dimensional digital map based on the space entropy is expanded.
(3) According to the urban three-dimensional digital map generation method and system based on the space entropy, the real-time display of the global urban landscape features and the quick disclosure of basic rules are realized in practical efficiency, a large amount of investment of invalid manpower and time cost when the urban landscape foundation investigation work is carried out is avoided, the work for judging the urban landscape features is reduced from the original week to four hours, the uncontrollability and time consumption of the urban landscape modification unit screened by the urban construction part in the past are avoided, and the accuracy of data is improved.
(4) The invention discloses a space entropy-based urban three-dimensional digital map generation method and a space entropy-based urban three-dimensional digital map generation system, which are oriented to the field of urban planning and building design in an interactive means, and a building main structure, a building roof form, a building height, a building base area, a building elevation color and a building elevation material are all incorporated into a visual VR interactive adjustment module of the urban three-dimensional digital map, so that the user can instantly experience and command adjustment on urban landscape characteristics when roaming the urban three-dimensional digital map, and the interactive mode relates to voice, vision, pointing and touch control, thereby being more humanized and having more visual and obvious display effects.
Drawings
FIG. 1 is a schematic diagram of a large-scale city three-dimensional digital map generation flow based on spatial entropy;
FIG. 2 is a schematic diagram of the encoding of a three-dimensional digital map of a city according to the present invention;
FIG. 3 is a schematic view showing spatial entropy and type of the urban three-dimensional digital map according to the present invention;
FIG. 4 is a schematic diagram of a spatial entropy warning unit of the urban three-dimensional digital map according to the present invention;
FIG. 5 is a schematic diagram of the interactive adjustment of the three-dimensional digital map of the city according to the present invention;
FIG. 6 is a schematic diagram of the spatial entropy adjustment instruction library of the urban three-dimensional digital map according to the invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
As shown in fig. 1, an embodiment of the present invention provides a method for generating a three-dimensional digital map of a city based on spatial entropy, including the following steps:
step S1, basic data acquisition and display
Acquiring three-dimensional oblique photography data of a target city, translating to obtain geographic information vector data, and inputting the geographic information vector data into a geographic information platform; after finishing data verification, carrying out superposition processing on the data, and constructing a basic sand table of the urban three-dimensional digital map; and identifying the type of the land block unit by the POI data, and dividing the target city into geographic space units taking the land function land block as a unit.
S11, collecting basic data of geographic information
And acquiring three-dimensional oblique photographic data of a target city by using a mapping unmanned aerial vehicle of a laser radar point cloud data acquisition system with the carrying precision within 10mm, and loading a deep learning digital interpretation interface of a digital map to record geographic information vector data obtained by translating the three-dimensional oblique photographic data into a geographic information platform.
In this embodiment, a mapping unmanned aerial vehicle with a laser radar point cloud data acquisition system having a mounting precision within 10mm is used to acquire three-dimensional oblique photography data of a target city, a deep learning digital interpretation interface of a digital map is loaded, and geographic information vector data obtained by translating the three-dimensional oblique photography data are stored in a spatial data storage database of Arcgis. The geographic information vector data comprise geographic and geomorphic information, road information, land block boundary information, building information and facility information data of a target city; the building information data comprise building height, base area, main structure form, roof form, elevation color and elevation material data.
S12, three-dimensional digital map construction of city
And (3) carrying out geographic information correction and inspection by a knapsack type laser scanner with the driving electric drive back-carried scanning range reaching 200 meters and the camera resolution of more than 4K, converting three-dimensional oblique photographing data of a target city and geographic information vector data for completing data verification into a unified CGCS2000 coordinate system, carrying out data superposition processing according to geographic coordinates, and preparing a city three-dimensional digital map by depending on a geographic information platform.
In this embodiment, a knapsack laser scanner with a driving electric driving back scanning range up to 200 meters and a camera resolution above 4K is used for correcting geographic information, a spatial ad justment (space correction) tool in gis is used to convert three-dimensional oblique photography data of a target city and geographic information vector data of which data verification is completed into a unified CGCS2000 coordinate system, overlapping processing of the data is performed according to geographic coordinates, and a gis geographic information platform is used to manufacture a three-dimensional digital map of the city.
S13, demarcating the unit type of the land block
Through loading POI data acquisition and land use identification interfaces of the digital map, acquiring target city POI data, endowing different POI reference land use values to different types of POI data, classifying the POI types according to the types of the land units, and taking the dominant land type with the largest area sum of the corresponding POI types in the land units as the land use function of the land units.
In this embodiment, through loading the POI data acquisition and land identification interface of the digital map, the local city POI data is acquired, different POI reference land area values are given to the different types of POI data, the POI types are classified according to the land parcel unit types, and the dominant land parcel type with the largest total area ratio of the corresponding POI types in the land parcel unit is used as the land parcel unit land function, and the specific calculation formula is as follows:
wherein i represents the type represented by the POI, fi represents the number of the i-th type POI in the block unit, S i And representing the assigned POI reference land area value, wherein m represents the total number of POI types in the land block unit, n represents the total number of POI types under the corresponding type of the land block unit, and finally determining the land function of the land block unit by comparing the C values of different types.
After dividing the types of the land block units according to the identification result, carrying out non-repeated coding on all the land block units in the city in the form of 'land code+number'. The POI reference land area is determined after the average value is taken according to the land area statistical data and structural sampling data of different types of city construction of the target city; the land parcel unit types comprise 5 types of residence land, public service land, commercial land, industrial land and logistics storage land according to urban land classification and planning construction land standard.
Step S2, spatial entropy measurement and display
Constructing a space entropy measurement method, and measuring the building body volume scale entropy, building structure form entropy and building elevation surface skin entropy of different types of land-used block units; and obtaining the spatial entropy value types of the different types of land block units by adopting a natural break point method, establishing an entropy value result layer and an entropy value type layer of the different types of spatial entropy digital maps, and setting according to the functional parameters of the digital layers to display the image result of the three-dimensional digital map of the target city.
S21, spatial entropy index measurement
And measuring three spatial entropy indexes of building volume scale entropy, building structure form entropy and building elevation surface entropy, which are closely related to building landscape, and measuring and calculating each land block unit of the target city through a loading index calculation module.
In the embodiment, spatial entropy indexes of three types of building volume scale entropy, building structure form entropy and building elevation surface entropy closely related to building landscape are measured, and each land block unit of the city is measured and calculated through a loading index calculation module. The building body measurement rule entropy comprises building height entropy and building substrate area entropy, the building structure form entropy comprises building main structure form entropy and building roof form entropy, and the building elevation surface entropy comprises building elevation color entropy and building elevation material entropy;
The basic formula of the spatial entropy index system is as follows:
wherein H (X) represents the result of measuring the spatial entropy of the object, n represents the total number of types of corresponding measurement standards, P i Representing the probability of the corresponding class when X takes i.
S22, identifying and displaying spatial entropy type
For different types of spatial entropy values obtained through measurement and calculation, dividing the land parcel units into three types of high entropy, medium entropy and low entropy by adopting a natural break point method; and loading a space entropy database interface in the digital map, establishing space matching of the geographic information vector data and the space entropy data of the target city according to geographic coordinates, establishing different types of entropy digital map entropy result layers and entropy type layers, and setting according to functional parameters of the digital layers to display an image result of the three-dimensional digital map of the target city.
In the embodiment, for different types of spatial entropy values obtained through calculation, a natural break point method is adopted to divide land parcel units into three types of high entropy, medium entropy and low entropy; and loading a space entropy database interface in the digital map, establishing space matching of the geographic information vector data and the space entropy data of the city according to geographic coordinates, establishing different types of space entropy digital map entropy value result layers and entropy value type layers, and setting according to functional parameters of the digital layers to display an image result of the three-dimensional digital map of the target city. The digital map layer can be displayed in a layered or overlapped mode through the display setting function of the digital map layer, the same result or entropy units of the same type can be linked and checked through the hyperlink function of the digital map layer, the statistical characteristic chart result of the entropy result of a certain type can be recorded through the chart statistical function of the digital map layer, and the corresponding type characteristic under the three-dimensional oblique photography real scene image can be checked by roaming to a specific block unit when different types of space entropy layers are checked through the real scene re-tracing function of the digital map layer.
S3, judging a spatial entropy threshold value and displaying early warning
Collecting a target regional land block level detailed city design scheme, carrying out vectorization processing, constructing a spatial entropy sample library, automatically matching samples in the spatial entropy sample library according to space attributes of land block units, calculating six types of spatial entropy values of the samples, marking the urban land block which does not meet the spatial entropy threshold as a possible land block to be updated and displaying the land block in a grading manner, collecting target regional crowd vitality data and public emotion data as secondary judging conditions of the updated land block, judging the land block to be updated and adding a label for displaying.
S31, constructing a spatial entropy sample library
And (2) acquiring a detailed urban design scheme of a land block level of a target area in the last 5 years, intelligently translating design contents into three-dimensional vector data through a resolution scanner of more than 1000dpi, inputting the three-dimensional vector data into a three-dimensional digital map generated in the step (S1), constructing a spatial entropy sample library of the target area, calculating land functions of all land blocks and three spatial attribute values of a boundary shape index, a perimeter and an area after normalization, and labeling in a label form.
In the embodiment, a detailed urban design scheme of local city block level of 5 years is collected, design content is intelligently translated into three-dimensional vector data through a resolution scanner of more than 1000dpi, the three-dimensional vector data is input into a three-dimensional digital map generated in the step S1, a local city space entropy sample library is constructed, then three space attribute values of land functions of all blocks and three space attribute values of boundary shape indexes, circumferences and areas after normalization are calculated, and the three space attribute values are marked in a label form, wherein the space entropy sample library collects new data once every year, and data over 5 years are deleted for data dynamic update.
S32, spatial entropy threshold matching and judgment
Calculating three spatial attribute values of the target block unit, automatically matching unique sample data which have the same functions and minimum spatial attribute difference values in a spatial entropy sample library, then calculating six types of spatial entropy values of the matched samples according to the method in the step S2, taking the maximum value and the minimum value of the six types of spatial entropy values of the samples as the judgment standard of six types of spatial entropy thresholds of the target block unit respectively,
in this embodiment, three spatial attribute values of each block unit in the city are calculated, unique sample data with the same functions and the minimum spatial attribute difference value in the spatial entropy sample library are automatically matched, six types of spatial entropy values of the matched samples are calculated according to the method in step S2, the maximum value and the minimum value of the six types of spatial entropy values of the samples are respectively used as the judgment standard of six types of spatial entropy thresholds of the target block unit,
wherein, the formula of the spatial attribute difference value is as follows,
wherein Cn, ln and Sn are respectively the normalized shape index, perimeter and area value of the sample block, and Cx, lx and Sx are respectively the normalized shape index, perimeter and area value of the sample block.
S33, super-threshold land block extraction and possibly updated land block unit display
Taking six types of spatial entropy thresholds obtained by the method in the step S32 as a judgment standard, extracting plots exceeding the threshold range, adding spatial entropy type labels exceeding the threshold, standardizing the spatial entropy values exceeding the threshold of the extracted plots, then respectively dividing the exceeding severity of the six types of spatial entropy thresholds into three grades of serious, medium and slight by using a natural discontinuous method, marking the extracted plots with severity labels and marking the extracted plots as possible plot units to be updated, and carrying out classified display by different colors in a three-dimensional digital map.
Taking six types of spatial entropy thresholds obtained by the method in the step S32 as a judgment standard, extracting plots exceeding the threshold range, adding spatial entropy type labels exceeding the threshold, standardizing the spatial entropy values exceeding the threshold of the extracted plots, then respectively dividing the exceeding severity of the six types of spatial entropy thresholds into three grades of serious, medium and slight by using a natural discontinuous method, marking the extracted plots with severity labels and marking the extracted plots as possible plot units to be updated, and carrying out classified display by different colors in a three-dimensional digital map.
S34, verifying crowd position and emotion data and early warning updating land parcel judging result display
Collecting crowd activity data and public emotion data, loading the crowd activity data and the public emotion data into the three-dimensional digital map constructed in the step S1 through spatial association, performing secondary judgment on the possibly to-be-updated land block units obtained in the step S3.3 according to the two data, marking the land block meeting the judgment condition as an early warning to-be-updated land block unit, and displaying the early warning to-be-updated land block unit in the three-dimensional digital map.
In this embodiment, crowd activity data and public emotion data are collected, the crowd activity data and the public emotion data are loaded into the three-dimensional digital map constructed in the step S1 through spatial association, secondary judgment is carried out on the possibly to-be-updated land block units obtained in the step S3.3 according to the two data, and the land block meeting the judgment conditions is marked as an early warning to-be-updated land block unit and displayed in the three-dimensional digital map. The crowd activity data are acquired as crowd quantity slice data of 10 points, 14 points, 18 points and 20 points of the city based on position service every day in the near year, the crowd quantity slice data are converted into crowd quantity data of the year through space association and quantity superposition, the crowd activity data are processed into the crowd activity data with coordinates representing space activity through kernel density, the public emotion data are acquired as face emotion data of the near year through street traffic cameras and public place cameras of the city, more than 10 ten thousand groups of emotion words are translated into emotion values, the face image data are combined to serve as a deep learning training set, the face emotion data are translated into emotion values through deep learning recognition, and the public emotion data with coordinates representing the emotion values of the public are processed into the emotion data with coordinates through kernel density. The crowd activity data and the public emotion value data of each land block are divided into a group according to the same land use function, the group data are divided into five levels of high, medium, low and medium according to the number by a natural discontinuous method after normalization, different colors are used for displaying, the land block units with high crowd activity values and high public emotion values which are likely to be updated are judged as normal land block units, the rest land block units with likely to be updated are judged as land block units with early warning to be updated, and labels are added for displaying.
Step S4, interactive display and adjustment of urban three-dimensional space sand table
Building a three-dimensional digital map sensor of a city, recognizing the voice and the action of a user, building a spatial entropy adjustment instruction library, adjusting the building height, the building area and the building color, checking whether the adjustment content meets the specification or not through the related specification conditions of the design and the appearance of a target city, and feeding back and updating the adjusted spatial entropy in the three-dimensional digital map.
S41, user instruction voice and action recognition
And loading a VR interaction adjustment module based on an urban landscape updating interaction instruction in the three-dimensional digital map, wherein the VR interaction adjustment module comprises a voice recognition system, an action recognition wearable device with an inertial sensor and a handheld control system, and the user voice and the user behavior are recognized through conduction data calculation.
In the embodiment, a VR interaction adjustment module based on an urban landscape update interaction instruction is loaded in a three-dimensional digital map, and the VR interaction adjustment module comprises a voice recognition system, an action recognition wearable device carrying an inertial sensor and a handheld control system, and user voice and user behaviors are recognized through conduction data calculation, wherein the user voice recognition comprises a step of advancing, a step of turning right, a step of turning left, a step of checking an update early warning land block, a step of checking an update demand level, a step of adjusting building color space entropy, a step of adjusting building area space entropy, a step of adjusting building height space entropy, a step of determining whether the step of checking is; the user behavior comprises four actions of user walking, gaze steering, arm pointing and finger key touch.
S42, constructing a spatial entropy adjustment instruction library
And (3) constructing a spatial entropy adjustment instruction library according to the voice and the motion identified in the step (S41), completing the functions of freely walking and browsing the space in the three-dimensional digital map, selecting and viewing detailed information of the land block, displaying spatial entropy values, viewing and updating early warning land block information, viewing and updating the demand level, adjusting the spatial entropy of the dimension of the building body, adjusting the spatial entropy of the structural form of the building and adjusting the spatial entropy of the surface of the vertical face of the building, when a user confirms that certain type of spatial entropy adjustment is carried out, taking the spatial entropy sample library constructed in the step (S3) as a training set for deep learning, automatically and randomly generating new building model data in the threshold range according to the type of spatial entropy threshold range corresponding to the land block, and repeatedly updating through adjustment instructions if the user is unsatisfactory.
In this embodiment, a spatial entropy adjustment instruction library is built according to the voices and actions identified in S41, so that the functions of freely walking and browsing space, selecting and viewing detailed information of land parcels, displaying spatial entropy values, viewing and updating early-warning land parcels information, viewing and updating demand levels, adjusting the spatial entropy of the size of a building body, adjusting the spatial entropy of a structural form of a building, and adjusting the spatial entropy of the surface skin of a building elevation are completed in a three-dimensional digital map, when a user confirms that certain type of spatial entropy adjustment is performed, the spatial entropy sample library built in step S3 is used as a training set for deep learning, new building model data in a threshold range is automatically and randomly generated according to the type of spatial entropy threshold range corresponding to a land parcels, and if the user is unsatisfactory, the new building model data can be updated repeatedly through adjustment instructions.
S43, checking and feeding back standard conditions
And collecting design specification conditions related to urban feature of a target area, performing intelligent examination on the data randomly generated after the user selects and adjusts in the step S42 according to the specification conditions, inputting the data into a data updating system of the three-dimensional digital map if the examination is passed, and re-randomly generating the data until the examination is passed and feeding the data back to the user if the examination is not passed.
In this embodiment, the design specification conditions related to urban landscapes in the target area are collected, the user selects the data randomly generated after adjustment in step S42, intelligent examination is performed according to the specification conditions, if the examination is passed, the data is input to the data updating system of the three-dimensional digital map, if the examination is not passed, the data is randomly generated again until the examination is passed, and the data is fed back to the user, wherein the design specification conditions related to urban landscapes include the control requirements of building height, building density, volume rate, building roof type, building color and building material in the overall urban design to which the target area belongs.
Step S5, outputting the result
And splicing and printing out the urban three-dimensional digital map after the space entropy adjustment, wherein the urban three-dimensional digital map comprises various space entropy adjustment front and back entropy values of the early warning land parcel unit, a bird's eye view image before and after the three-dimensional digital map is updated, and a space entropy value and a bird's eye view image after the space entropy adjustment of the early warning land parcel unit exceeding a threshold value, and the space entropy value and the bird's eye view image are used for reference by planning design and management staff.
S51, generating and checking standard of updated city three-dimensional digital map
In this embodiment, the adjusted plot data and the unadjusted plot data in the step S4 are spliced through spatial superposition, updated three-dimensional digital map data are generated, and the spliced data are finally checked according to building sunlight distance and building fireproof distance specifications in the controlled detailed planning.
Splicing the land data after adjustment in the step S4 and the unadjusted land data through spatial superposition to generate updated three-dimensional digital map data, and finally checking the spliced data according to building sunlight spacing and building fireproof spacing specifications in the controlled detailed planning.
S52, urban three-dimensional digital map data output
And (3) performing printing output after combining the updated urban three-dimensional digital map data after the splicing and checking in the step S51 and the data before updating, wherein the output data comprises model aerial views before and after updating the urban three-dimensional digital map, model aerial views before and after updating the landform units, space entropy values before and after adjusting the landform units for updating the landform units, and space entropy types of the to-be-updated landform units exceeding a threshold value for early warning for planning, designing and managing staff to refer to.
In this embodiment, the updated three-dimensional digital map data after the splicing and checking in step S51 and the data before the updating are summarized and printed out, and the output data includes the model aerial views before and after the updating of the three-dimensional digital map of the city, the model aerial views before and after the updating of the landform units of the landscape, the spatial entropy value before and after the adjustment of the landform units of the landscape, and the spatial entropy type of the to-be-updated landform units exceeding the threshold value for reference by planning design and management staff.
As yet another embodiment of the present invention, there is provided a spatial entropy-based city three-dimensional digital map generation system, the system including:
the basic data acquisition and display module is used for acquiring three-dimensional oblique photographic data of a target city, translating the three-dimensional oblique photographic data to obtain geographic information vector data and inputting the geographic information vector data into the geographic information platform; after finishing data verification, carrying out superposition processing on the data, and constructing a basic sand table of the urban three-dimensional digital map; identifying the type of the land block unit through POI data, and dividing the target city into geographic space units taking land function land blocks as units;
the spatial entropy measurement and display module is used for constructing a spatial entropy measurement method and measuring the building body volume scale entropy, the building structure form entropy and the building elevation surface skin entropy of the land parcel units of different types; obtaining the spatial entropy value types of different types of land block units by adopting a natural break point method, establishing an entropy value result layer and an entropy value type layer of different types of spatial entropy digital maps, and setting according to the functional parameters of the digital layers to display the image result of the three-dimensional digital map of the target city;
The space entropy threshold judging and early warning display module is used for collecting a target regional land block level detailed city design scheme, carrying out vectorization processing, constructing a space entropy sample library, automatically matching samples in the space entropy sample library according to space attributes of land block units, calculating six types of space entropy values of the samples, marking urban land blocks which do not meet the space entropy threshold as possible land blocks to be updated and displaying the possible land blocks in a grading manner, collecting target regional crowd activity data and public emotion data as secondary judging conditions for updating the land blocks, judging the land blocks to be updated and adding labels for displaying;
the urban three-dimensional space sand table interactive display and adjustment module is used for constructing an urban three-dimensional digital map sensor, identifying the voice and the action of a user, constructing a space entropy adjustment instruction library, adjusting building height, building area and building color, checking whether adjustment content meets the specification through the design and appearance related specification conditions of a target city, and carrying out feedback update on the adjusted space entropy in the three-dimensional digital map;
the result output module is used for splicing and printing out the urban three-dimensional digital map after the space entropy adjustment, and comprises various entropy values before and after the space entropy adjustment of the early-warning land block unit, a bird's eye view image before and after the three-dimensional digital map update, and the space entropy value and the bird's eye view image after the space entropy adjustment of the early-warning land block unit exceeding a threshold value, which are used for planning, designing and managing personnel to refer to;
The system is used for realizing the urban three-dimensional digital map generation method based on the spatial entropy in the embodiment.
As still another embodiment of the present invention, there is provided an apparatus including:
one or more processors;
a memory for storing one or more programs,
the one or more programs, when executed by the one or more processors, cause the one or more processors to perform one of the spatial entropy-based urban three-dimensional digital map generation methods of the above embodiments.
As a further embodiment of the present invention, there is provided a terminal device including a memory, a processor, and a computer program stored in the memory and capable of running on the processor, wherein the memory stores the computer program capable of running on the processor, and when the processor loads and executes the computer program, a spatial entropy-based urban three-dimensional digital map generating method in the above embodiment is adopted.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
Claims (9)
1. The city three-dimensional digital map generation method based on the space entropy is characterized by comprising the following steps of:
acquiring three-dimensional oblique photography data of a target city, translating to obtain geographic information vector data, and inputting the geographic information vector data into a geographic information platform; after finishing data verification, carrying out superposition processing on the data, and constructing a basic sand table of the urban three-dimensional digital map; identifying the type of the land block unit through POI data, and dividing the target city into geographic space units taking land function land blocks as units;
constructing a space entropy measurement method, and measuring the building body volume scale entropy, building structure form entropy and building elevation surface skin entropy of different types of land-used block units; obtaining the spatial entropy value types of different types of land block units by adopting a natural break point method, establishing an entropy value result layer and an entropy value type layer of different types of spatial entropy digital maps, and setting according to the functional parameters of the digital layers to display the image result of the three-dimensional digital map of the target city;
collecting a target regional land block level detailed city design scheme, carrying out vectorization treatment, constructing a spatial entropy sample library, automatically matching samples in the spatial entropy sample library according to space attributes of land block units, calculating six types of spatial entropy values of the samples, marking urban land blocks which do not meet the spatial entropy threshold as possible land blocks to be updated and displaying the land blocks in a grading manner, collecting target regional crowd vitality data and public emotion data as secondary judging conditions for updating the land blocks, judging the land blocks to be updated and adding labels for displaying;
Building a three-dimensional digital map sensor of a city, recognizing the voice and the action of a user, building a space entropy adjustment instruction library, adjusting building height, building area and building color, checking whether the adjustment content meets the specification or not through the related specification conditions of the design style of a target city, and carrying out feedback update on the adjusted space entropy in the three-dimensional digital map;
and splicing and printing out the urban three-dimensional digital map after the space entropy adjustment, wherein the urban three-dimensional digital map comprises various space entropy adjustment front and back entropy values of the early warning land parcel unit, a bird's eye view image before and after the three-dimensional digital map is updated, and a space entropy value and a bird's eye view image after the space entropy adjustment of the early warning land parcel unit exceeding a threshold value, and the space entropy value and the bird's eye view image are used for reference by planning design and management staff.
2. The urban three-dimensional digital map generation method based on spatial entropy according to claim 1, characterized in that: the three-dimensional oblique photography data of the target city are obtained, geographic information vector data are obtained through translation, and the geographic information vector data are input into a geographic information platform; after finishing data verification, carrying out superposition processing on the data, and constructing a basic sand table of the urban three-dimensional digital map; and identifying the type of the land parcel unit by the POI data, and dividing the target city into geographic space units taking land parcel as a unit, wherein the method specifically comprises the following steps:
The method comprises the steps of collecting geographic information basic data, acquiring three-dimensional oblique photography data of a target city by using a surveying and mapping unmanned aerial vehicle of a laser radar point cloud data collecting system, loading a deep learning digital interpretation interface of a digital map, and inputting geographic information vector data obtained by translating the three-dimensional oblique photography data into a geographic information platform;
constructing a three-dimensional digital map of a city, verifying geographic information, converting three-dimensional oblique photographing data of a target city and geographic information vector data for completing data verification into a unified CGCS2000 coordinate system, carrying out data superposition processing according to geographic coordinates, and preparing the three-dimensional digital map of the city by depending on a geographic information platform;
the method comprises the steps of demarcating the types of land block units, acquiring target city POI data by loading POI data acquisition and land use identification interfaces of a digital map, giving different POI reference land use area values to different types of POI data, classifying the POI types according to the types of the land block units, and taking a dominant land block type with the largest area sum of the corresponding POI types in the land block units as a land use function of the land block units, wherein the specific calculation formula is as follows:
wherein i represents the type represented by the POI, fi represents the number of the i-th type POI in the block unit, S i And representing the assigned POI reference land area value, wherein m represents the total number of POI types in the land block unit, n represents the total number of POI types under the corresponding type of the land block unit, and finally determining the land function of the land block unit by comparing the C values of different types.
3. The urban three-dimensional digital map generation method based on spatial entropy according to claim 2, characterized in that: the construction space entropy measurement method measures the building volume scale entropy, building structure form entropy and building elevation surface skin entropy of different types of land-used block units; the method comprises the steps of obtaining the spatial entropy value types of different types of land parcel units by adopting a natural break point method, establishing an entropy value result layer and an entropy value type layer of different types of spatial entropy digital maps, and displaying the image result of a three-dimensional digital map of a target city according to the functional parameter setting of the digital map layer, wherein the method specifically comprises the following steps:
measuring spatial entropy indexes, namely measuring spatial entropy indexes of three types of close relations between building body volume scale entropy, building structure form entropy and building facade surface entropy and building landscape, and measuring and calculating each land block unit of a target city through a loading index calculation module;
the building body measurement rule entropy comprises building height entropy and building substrate area entropy, the building structure form entropy comprises building main structure form entropy and building roof form entropy, and the building elevation surface entropy comprises building elevation color entropy and building elevation material entropy;
The basic formula of the spatial entropy index system is as follows:
wherein H (X) represents the result of measuring the spatial entropy of the object, n represents the total number of types of corresponding measurement standards, P i Representing the probability of X under the corresponding classification when taking i;
identifying and displaying the spatial entropy types, and dividing the land parcel units into three types of high entropy, medium entropy and low entropy by adopting a natural break point method for the spatial entropy values of different types obtained through calculation; loading a space entropy database interface in the digital map, establishing space matching of geographic information vector data and space entropy data of a target city according to geographic coordinates, establishing a different type of space entropy digital map entropy value result layer and an entropy type layer, and setting according to functional parameters of the digital layer to display an image result of the three-dimensional digital map of the target city;
the setting of the functional parameters of the digital map layer comprises that the digital map layer can be displayed in a layered or overlapped mode through a display setting function of the digital map layer, the hyperlink function of the digital map layer can be used for linking and checking the same result or entropy value units of the same type, the chart statistics function of the digital map layer can be used for recording the statistical characteristic chart result of the entropy value result of a certain type, and the real scene re-tracing function of the digital map layer can be used for roaming to a specific block unit to check the corresponding type characteristic under the three-dimensional oblique photography real scene image when checking the space entropy layers of different types.
4. A method for generating a three-dimensional digital map of a city based on spatial entropy according to claim 3, wherein: the method comprises the steps of collecting a target regional land parcel level detailed city design scheme, carrying out vectorization processing, constructing a space entropy sample library, automatically matching samples in the space entropy sample library according to space attributes of land parcel units, calculating six types of space entropy values of the samples, marking urban land parcels which do not meet the space entropy threshold as possible land parcels to be updated and displaying the land parcels in a grading mode, collecting target regional crowd vitality data and public emotion data as secondary judging conditions for updating the land parcels, judging the land parcels to be updated and adding labels for displaying, and specifically comprises the following steps:
constructing a space entropy sample library, collecting a target regional land block level detailed city design scheme, intelligently translating the content of the design scheme into three-dimensional vector data, inputting the three-dimensional vector data into a three-dimensional digital map, constructing a target regional space entropy sample library, calculating land functions of all land blocks, and three space attribute values of a normalized boundary shape index, a normalized perimeter and a normalized area, and labeling the three space attribute values in a label form;
matching and judging the spatial entropy threshold value, calculating three large spatial attribute values of the target block unit, automatically matching the unique sample data with the same functions and the minimum spatial attribute difference value in the spatial entropy sample library, then calculating six types of spatial entropy values of the matched samples according to the spatial entropy measurement method of claim 2, taking the maximum value and the minimum value of the six types of spatial entropy values of the samples as judging standards of the six types of spatial entropy threshold values of the target block unit respectively,
Wherein, the formula of the spatial attribute difference value is as follows,
wherein Cn, ln and Sn are respectively the normalized shape index, perimeter and area value of the sample plot, and Cx, lx and Sx are respectively the normalized shape index, perimeter and area value of the sample plot;
extracting a super-threshold land block and displaying a possibly updated land block unit, taking six types of spatial entropy thresholds obtained by matching and judging the spatial entropy thresholds as judging standards, extracting a land block exceeding a threshold range, adding a spatial entropy type label exceeding the threshold, standardizing the spatial entropy value exceeding the range of the extracted land block, then respectively dividing the exceeding severity of the six types of spatial entropy thresholds into three grades of severity, medium and slight by a natural break method, marking the extracted land block with severity labels and marking the extracted land block as a possibly updated land block unit, and carrying out classified display by different colors in a three-dimensional digital map;
and (3) verifying crowd position and emotion data, displaying early warning updated land block judgment results, collecting crowd vitality data and public emotion data, loading the crowd vitality data and the public emotion data into a three-dimensional digital map through spatial association, carrying out secondary judgment on land block units possibly to be updated according to the crowd position and emotion data, marking land blocks meeting judgment conditions as the land block units to be updated for early warning, and displaying the land block units in the three-dimensional digital map.
5. The method for generating the urban three-dimensional digital map based on the spatial entropy according to claim 4, wherein the method comprises the following steps of: the method comprises the steps of constructing a three-dimensional digital map sensor of a city, recognizing voice and actions of a user, constructing a spatial entropy adjustment instruction library, adjusting building height, building area and building color, checking whether adjustment content meets specifications through relevant specification conditions of design and appearance of a target city, and carrying out feedback update on the adjusted spatial entropy in the three-dimensional digital map, wherein the method specifically comprises the following steps:
the method comprises the steps of user instruction voice and action recognition, loading a VR interaction adjustment module based on an urban landscape update interaction instruction in a three-dimensional digital map, wherein the VR interaction adjustment module comprises a voice recognition system, an action recognition wearable device carrying an inertial sensor and a handheld control system, and the user voice and user actions are recognized through conduction data calculation, and the user voice recognition comprises advancing, turning right, turning left, checking update early warning plots, checking update demand grades, adjusting building color space entropy, adjusting building area space entropy, adjusting building height space entropy, determining whether checking is yes or not; the user behavior comprises four actions of user walking, gaze steering, arm pointing and finger key touch;
The method comprises the steps of constructing a spatial entropy adjustment instruction library, constructing a spatial entropy adjustment instruction library according to recognized voices and actions, completing the functions of freely walking and browsing space, selecting and viewing detailed information of land parcels, displaying spatial entropy values, viewing and updating early warning land parcels information, viewing and updating demand levels, adjusting the dimensional spatial entropy of a building body, adjusting the spatial entropy of a building structure form and adjusting the spatial entropy of a building elevation surface, when a user confirms that certain type of spatial entropy adjustment is carried out, using the constructed spatial entropy sample library as a training set for deep learning, automatically randomly generating new building model data in a threshold range according to the type of spatial entropy threshold range corresponding to the land parcels, and repeatedly updating through adjustment instructions if the user is not satisfied;
and checking and feeding back standard conditions, namely collecting design standard conditions related to urban landscapes in a target area, carrying out intelligent examination on the data randomly generated after the user selects adjustment according to the standard conditions, inputting the data into a data updating system of the three-dimensional digital map if the examination is passed, and feeding back the data to the user again if the examination is not passed, wherein the design standard conditions related to the urban landscapes comprise the control requirements of building height, building density, volume rate, building roof type, building color and building material in the overall urban design of the target area.
6. The method for generating the urban three-dimensional digital map based on the spatial entropy according to claim 5, wherein the method comprises the following steps of: the method comprises the steps of splicing and printing out the urban three-dimensional digital map after the space entropy adjustment, wherein the urban three-dimensional digital map comprises entropy values before and after various space entropy adjustment of an early warning land parcel unit, aerial view images before and after three-dimensional digital map updating, and space entropy values and aerial view images after the space entropy adjustment of the early warning land parcel unit exceeding a threshold value, and the space entropy values and the aerial view images are used for reference by planning design and management staff, and specifically comprises the following steps:
updating the generation and standard check of the urban three-dimensional digital map, splicing the adjusted land block data and the unadjusted land block data through spatial superposition to generate updated three-dimensional digital map data, and finally checking the spliced data according to the building sunshine interval and building fireproof interval standard in the controlled detailed planning;
and outputting the urban three-dimensional digital map data, integrating the spliced and checked updated urban three-dimensional digital map data with the data before updating, and printing and outputting the integrated and checked updated urban three-dimensional digital map data, wherein the output data comprises model aerial views before and after updating the urban three-dimensional digital map, model aerial views before and after updating the landform units, space entropy values before and after adjusting the landform units, and space entropy types of the to-be-updated landform units exceeding a threshold value for reference by planning design and management staff.
7. A spatial entropy-based urban three-dimensional digital map generation system, the system comprising:
the basic data acquisition and display module is used for acquiring three-dimensional oblique photographic data of a target city, translating the three-dimensional oblique photographic data to obtain geographic information vector data and inputting the geographic information vector data into the geographic information platform; after finishing data verification, carrying out superposition processing on the data, and constructing a basic sand table of the urban three-dimensional digital map; identifying the type of the land block unit through POI data, and dividing the target city into geographic space units taking land function land blocks as units;
the spatial entropy measurement and display module is used for constructing a spatial entropy measurement method and measuring the building body volume scale entropy, the building structure form entropy and the building elevation surface skin entropy of the land parcel units of different types; obtaining the spatial entropy value types of different types of land block units by adopting a natural break point method, establishing an entropy value result layer and an entropy value type layer of different types of spatial entropy digital maps, and setting according to the functional parameters of the digital layers to display the image result of the three-dimensional digital map of the target city;
the space entropy threshold judging and early warning display module is used for collecting a target regional land block level detailed city design scheme, carrying out vectorization processing, constructing a space entropy sample library, automatically matching samples in the space entropy sample library according to space attributes of land block units, calculating six types of space entropy values of the samples, marking urban land blocks which do not meet the space entropy threshold as possible land blocks to be updated and displaying the possible land blocks in a grading manner, collecting target regional crowd activity data and public emotion data as secondary judging conditions for updating the land blocks, judging the land blocks to be updated and adding labels for displaying;
The urban three-dimensional space sand table interactive display and adjustment module is used for constructing an urban three-dimensional digital map sensor, identifying the voice and the action of a user, constructing a space entropy adjustment instruction library, adjusting building height, building area and building color, checking whether adjustment content meets the specification through the design and appearance related specification conditions of a target city, and carrying out feedback update on the adjusted space entropy in the three-dimensional digital map;
the result output module is used for splicing and printing out the urban three-dimensional digital map after the space entropy adjustment, and comprises various entropy values before and after the space entropy adjustment of the early-warning land block unit, a bird's eye view image before and after the three-dimensional digital map update, and the space entropy value and the bird's eye view image after the space entropy adjustment of the early-warning land block unit exceeding a threshold value, which are used for planning, designing and managing personnel to refer to;
the system is used for realizing the urban three-dimensional digital map generation method based on the spatial entropy according to any one of claims 1-6.
8. A terminal device comprising a memory, a processor and a computer program stored in the memory and capable of running on the processor, characterized in that the memory stores the computer program capable of running on the processor, and that the processor, when loading and executing the computer program, employs a spatial entropy based urban three-dimensional digital map generating method according to any of claims 1-6.
9. A computer readable storage medium storing a computer program, wherein the program when executed by a processor implements a spatial entropy based urban three-dimensional digital map generating method according to any one of claims 1-6.
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| CN117114296A (en) * | 2023-08-09 | 2023-11-24 | 深圳市规划国土发展研究中心 | Stock unit demarcation processing method under homeland space planning system |
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| CN116644941A (en) * | 2023-07-18 | 2023-08-25 | 北京珞安科技有限责任公司 | Industrial energy planning system based on Internet of things |
| CN116644941B (en) * | 2023-07-18 | 2023-10-24 | 北京珞安科技有限责任公司 | Industrial energy planning system based on Internet of things |
| CN117114296A (en) * | 2023-08-09 | 2023-11-24 | 深圳市规划国土发展研究中心 | Stock unit demarcation processing method under homeland space planning system |
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