CN112270027A - Paperless intelligent interactive examination method for city design based on entity model - Google Patents
Paperless intelligent interactive examination method for city design based on entity model Download PDFInfo
- Publication number
- CN112270027A CN112270027A CN202011185312.6A CN202011185312A CN112270027A CN 112270027 A CN112270027 A CN 112270027A CN 202011185312 A CN202011185312 A CN 202011185312A CN 112270027 A CN112270027 A CN 112270027A
- Authority
- CN
- China
- Prior art keywords
- data
- city
- dimensional
- model
- design
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000013461 design Methods 0.000 title claims abstract description 151
- 238000000034 method Methods 0.000 title claims abstract description 44
- 230000002452 interceptive effect Effects 0.000 title claims abstract description 25
- 239000004576 sand Substances 0.000 claims abstract description 74
- 238000012552 review Methods 0.000 claims abstract description 18
- 230000010354 integration Effects 0.000 claims abstract description 16
- 238000010276 construction Methods 0.000 claims abstract description 9
- 238000007689 inspection Methods 0.000 claims abstract description 9
- 238000005516 engineering process Methods 0.000 claims description 26
- 238000013507 mapping Methods 0.000 claims description 12
- 238000006243 chemical reaction Methods 0.000 claims description 8
- 238000004458 analytical method Methods 0.000 claims description 7
- 238000000605 extraction Methods 0.000 claims description 7
- 239000000178 monomer Substances 0.000 claims description 7
- 238000012545 processing Methods 0.000 claims description 7
- 238000004364 calculation method Methods 0.000 claims description 4
- 238000005259 measurement Methods 0.000 claims description 4
- 230000000877 morphologic effect Effects 0.000 claims description 4
- 230000002093 peripheral effect Effects 0.000 claims description 4
- 238000012216 screening Methods 0.000 claims description 4
- 230000008878 coupling Effects 0.000 claims description 3
- 238000010168 coupling process Methods 0.000 claims description 3
- 238000005859 coupling reaction Methods 0.000 claims description 3
- 238000011161 development Methods 0.000 claims description 3
- 230000018109 developmental process Effects 0.000 claims description 3
- 230000000087 stabilizing effect Effects 0.000 claims description 3
- 238000010801 machine learning Methods 0.000 claims description 2
- 230000011218 segmentation Effects 0.000 claims description 2
- 238000012549 training Methods 0.000 claims description 2
- 238000013500 data storage Methods 0.000 claims 1
- 238000013519 translation Methods 0.000 claims 1
- 239000000284 extract Substances 0.000 abstract description 4
- 239000007787 solid Substances 0.000 abstract 1
- 238000007726 management method Methods 0.000 description 10
- 238000011960 computer-aided design Methods 0.000 description 9
- 230000000694 effects Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 230000015572 biosynthetic process Effects 0.000 description 1
- 230000000052 comparative effect Effects 0.000 description 1
- 230000008094 contradictory effect Effects 0.000 description 1
- 238000013499 data model Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000010252 digital analysis Methods 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 238000007499 fusion processing Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000003786 synthesis reaction Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/13—Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/103—Workflow collaboration or project management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- General Physics & Mathematics (AREA)
- Tourism & Hospitality (AREA)
- Geometry (AREA)
- Entrepreneurship & Innovation (AREA)
- Economics (AREA)
- Marketing (AREA)
- Computer Hardware Design (AREA)
- General Business, Economics & Management (AREA)
- Data Mining & Analysis (AREA)
- Development Economics (AREA)
- General Health & Medical Sciences (AREA)
- Health & Medical Sciences (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Architecture (AREA)
- Civil Engineering (AREA)
- Educational Administration (AREA)
- Primary Health Care (AREA)
- Structural Engineering (AREA)
- Computational Mathematics (AREA)
- Mathematical Analysis (AREA)
- Mathematical Optimization (AREA)
- Pure & Applied Mathematics (AREA)
- Evolutionary Computation (AREA)
- General Engineering & Computer Science (AREA)
- Processing Or Creating Images (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a paperless intelligent interactive inspection method for city design based on a solid model, which comprises the steps of basic data integration and digital sand table construction, digital library construction for city design inspection, city design result data input and recognition, intelligent inspection and label generation for city design results, inspection result report generation and interactive feedback, and automatic updating of a digital sand table. The invention can extract all control points in legal planning and standard standards, carry out intelligent and full-essential-point-covering interactive review on urban design results through intelligent embedding of intelligent codes and three-dimensional digital sand tables, and realize paperless generation of review results and omnibearing display in a real three-dimensional space scene.
Description
Technical Field
The invention belongs to the field of urban planning, relates to an urban design examination method, and particularly relates to a paperless intelligent interactive examination method for urban design based on an entity model.
Background
The city design examination is one of the common business processes of the city planning management department, and the business personnel examine whether each index of the city design scheme of the plot meets the requirement by contrasting the legal planning and the control key points of the standard, and give an examination report. However, with the rapid and stable development of the urbanization process, the update iteration frequency and the number of outgoing stations of the legal planning and standard standards increase day by day, and the situations of 'hanging up and missing ten thousand' and 'contradicting each other' of the manual examination result are frequently caused by the massive management and control points, which increases the work difficulty and time cost of the urban design examination. On the other hand, in the traditional city design result review, each index can be calculated only through a two-dimensional drawing such as CAD (computer-aided design) or a low-precision block model constructed by SketchUp and the like, so that the index result has obvious deviation from the real three-dimensional space of the city, and the authenticity and the validity of the review result are difficult to ensure. Meanwhile, the urban design result cannot be displayed in an urban real three-dimensional space in an all-around manner, the effect can be built only through indirect means such as an effect diagram and the like, misleading is easily caused to business personnel, and real problems are covered.
One of the common existing urban design review methods is to manually search the management and control points in legal planning and standard standards, calculate each index according to a two-dimensional drawing or a low-precision block model provided by an urban design result, and compare the index with the management and control points one by one to give a review result, so that the method has the problems of large manpower and material resources investment, long review time, easy omission of review points, difficulty in guaranteeing the authenticity of the review result and the like; the other method is that in a low-precision block model, a control box (such as a height box and a building retreat box) is constructed by using a part of control points in legal planning and standard standards, and the control box is checked by collision between the block model of a city design result and the block model.
Disclosure of Invention
The purpose of the invention is as follows: the invention aims to provide a paperless intelligent interactive inspection method for urban design based on a high-precision and complexly-calculated urban three-dimensional space entity, which can extract all control points in legal planning and standard standards, perform intelligent and full-essential-point-covering interactive inspection on urban design results through intelligent embedding of intelligent codes and a three-dimensional digital sand table, and realize paperless generation of inspection results and omnibearing display in a real three-dimensional space scene.
The technical scheme is as follows: in order to achieve the above object, the city design paperless intelligent interactive review method based on entity model of the present invention comprises:
the method comprises the following steps: integrating basic data and constructing a digital sand table;
step 1.1: the method comprises the steps of obtaining multi-source space big data, acquiring surveying and mapping topographic data, vector building form data and road data in a target city built-up area, and acquiring and storing three-dimensional oblique photography data in the target city built-up area through an unmanned aerial vehicle carrying a surveying and mapping camera, wherein pixels of the surveying and mapping camera are 1.2 hundred million or more, CMOS is 5, the focal length is 35mm, and the storage capacity is more than 320 GB;
step 1.2: the multi-source spatial big data coordinate and elevation unified coupling is used for carrying out coordinate and data format unification on the spatial big data and inputting the spatial big data into a geographic information system platform by utilizing a format integration technology, a dimension integration technology and a coordinate conversion technology;
step 1.3: the method comprises the steps of generating a current three-dimensional model and constructing a digital sand table, modeling three-dimensional terrain data, vector building form data and road data input into a geographic information system platform by utilizing a 2 x 8 core processor, a 32G memory and a computer device and a data engine of a 300G network table space, generating a city current three-dimensional model, and spatially superposing the city current three-dimensional model and oblique photography data to form the digital sand table which integrates current environment display and can calculate a vector three-dimensional model;
step two: digital library construction for city design examination;
step 2.1, digitalizing standard specification texts, which is used for acquiring urban planning standard specification data of the location of a target city, extracting word or pdf files of the standard specification texts which provide requirements for urban design, performing data summarization and semantic segmentation on the main points of each land block in the standard specification texts through text semantic analysis, performing semantic retrieval through keywords, dividing points to be required into constraint classes, main point types, main point descriptions and parameter columns, associating the points with land block unit names or numbers, and generating digitalized main points of the standard specification texts of associated land blocks; the standard specification article comprises national standard specifications covered by city planning and design and standard specifications issued and implemented by local governments, and comprises requirements on sunlight spacing in a plot and specific indexes of building line-returning;
further, step 2.1 is to digitize the standard specification texts, wherein the digitized points of the standard specification texts of the associated plots are formed by a fixed excel format, each plot contains a plurality of digitized points of the standard specification texts, and the points are converted into code languages through regular codes and are stored in a digitized point code library;
further, step 2.1 is to standardize the digitization of the clause, wherein the paragraph where the number is located is translated into a fixed language format which can be recognized by a computer, and characters to be described in points are disassembled into 'point purpose + point position + point object + measuring and calculating method + specific numerical value' according to the language format and through a supervised machine learning training computer;
further, step 2.1 is to digitize the standard specification, and the constraint classes are rule models, element attribute constraint classes, custom model constraint classes and space measurement constraint classes which are constructed aiming at various key points; the key point type is the key point types such as the sunlight interval, the building line-returning and the like mentioned in the standard specification; the key point description is that the computer automatically searches the number appearing in the key point, takes the period number as the boundary of the semantic segment, and translates the segment where the number is located into the fixed language format which can be identified by the computer; the 'parameter column' sets a buffer zone according to the road where the land parcel is located, the width of the buffer zone is consistent with the width of the road, and intelligent examination related to the digitalized key point is all carried out in the buffer zone.
Step 2.2, digitalizing the legal planning clause, which is used for acquiring city planning legal planning data of the location of the target city, extracting word or pdf files of the legal planning clause which provides requirements for city design, and generating digitalized key points of the legal planning clause of the associated plot according to the same method as the step 2.1; the legal planning provisions comprise national legal planning provisions covered by city planning and design and legal planning provisions issued and implemented by local governments, and comprise legal planning types of overall planning, detailed planning, urban system planning and regional planning, and the content of the legal planning provisions comprises the requirements of development strength, facility quantity and specific indexes of facility scale;
step 2.3, digitalizing important points, coding and establishing a library, translating all digitalized main points after duplicate checking and screening into computer code languages, establishing the library by adopting NoSQL technology and MongoDB technology to generate a digitalized main point library for city design examination, and storing data by a 2 x 8 core processor, a 32G internal memory, computer equipment in a 300G network disk space and Oracle 11G R2 enterprise database software;
step 2.4, embedding the digital essential point library with a digital sand table, and performing automatic matching on the digital essential point library containing the names or numbers of the associated block units in the step 2.4 and block unit models in the digital sand table, and performing space geographic coordinate and projection coordinate alignment, wherein the block unit models in the digital sand table contain the same names or number information;
step three: inputting and identifying city design result data;
step 3.1, digitally translating the reporting standards, and extracting the types and drawing standards of the pictures through the technical specification of planning reporting and building of the location of the target city, wherein the types and drawing standards of the pictures comprise area, lines, point sets, characters, names, codes, layers, categories, parameters and entity information;
step 3.2, digitalizing the urban design result, wherein the digitalization is used for carrying out standardized processing on the urban design result data according to a reporting and establishing standard, and the standardized processing comprises information extraction of paper files, drawing and parameter unification of electronic files;
step 3.3, automatic classification and extraction of the city design result, which is used for classifying and extracting digitized city design result data, wherein the city design result data comprises model vector data and basic attribute data;
step 3.4, automatic embedding of the urban design results and the spatial sand table, wherein the urban design results are used for carrying out spatial embedding on the classified and extracted urban design result data and the urban digital sand table;
further, the step 3.4 of automatic embedding of the result and the spatial sand table refers to classifying and extracting the urban design result data to obtain the result, namely, two three-dimensional vector form models and non-form attribute data, based on a common spatial coordinate system and an elevation standard, and performing accurate coordinate positioning and attribute connection with a land block unit of the digital sand table; the two-dimensional vector form model comprises an achievement CAD two-dimensional model, a GIS two-dimensional model, an SU three-dimensional model and attribute table parameters attached to the models; the non-morphological attribute data comprises other parameters noted in Excel;
step 3.5, calibrating a current state three-dimensional model of the surrounding environment of the city design result, wherein the current state three-dimensional model is used for carrying out field survey on the city design plot by using a three-dimensional scanner to expand the range of a block outwards, and parameters of measuring equipment are required to be 50 ten thousand points/second at the maximum at 614 m, 100 ten thousand points/second at 307 m and 200 ten thousand points/second at 153 m in the visual range of a distance measuring unit; 165 megapixels and above are required in a color cell; the rotating unit requires a field of view of 300 ° longitudinal/360 ° transverse; the laser grade is 1 grade laser; the distance measurement error is 1 m;
after stabilizing the three-dimensional scanning environment; calculating the position of the scanning equipment relative to the scanned object according to a preset scanning mode of the three-dimensional scanner so as to calibrate the three-dimensional scanner; capturing three-dimensional data of different angles of a scanned object through equipment; further acquiring three dimensions in a point cloud splicing modePoint cloud model and storing the acquired data in 32GB SDHCTMStoring in a memory card;
converting the acquired point cloud data into a skp format file, accurately guiding the point cloud data into a digital sand table, comparing the point cloud data with the horizontal dimension, the vertical dimension and the depth dimension of a building block of the current three-dimensional model, comparing whether the plane boundary and the height of the model are consistent or not, deleting the original current three-dimensional model if deviation exists, and replacing the model with a new model;
step four: intelligent examination and label generation of city design results;
step 4.1, intelligently examining the urban design result, wherein the intelligently examined urban design result is used for carrying out attribute calculation on two-dimensional model data in the embedded urban design result and connecting all attribute data into a unit plot, and the attribute data comprise basic form data and topological relation data; further calling digital essential point codes of the city design result corresponding to the plot units in the digital sand table, namely a code language of a judgment standard, matching and examining the digital essential point codes and the city design result data embedded in the digital sand table through an intelligent rule engine, and calculating whether the model attribute, the non-form attribute data and the model monomer attribute of each unit plot meet all judgment standards;
step 4.2, automatic classification of the examination results and automatic generation of labels are used for automatically classifying the intelligent examination results of the digital key point codes of the standard specification and legal planning, and generating examination result labels for each examined land parcel unit and model monomer, wherein the labels comprise 'pass' and 'fail' and judgment standard sources, namely standard specification type rules and legal planning type rules, and the original image-text files of the rules are annotated in each examination result;
4.3, performing holographic three-dimensional interactive display on the examination result, wherein the holographic three-dimensional interactive display is used for performing omnibearing three-dimensional display on the city design result with the examination result label and the peripheral current situation three-dimensional model in a digital sand table through a holographic sand table comprising a holographic operation system, a holographic developing system and a dynamic catching system, and exporting a video record;
step five: generating an examination result report and interactively feeding back;
step 5.1, generating an examination result report, wherein the examination result report is used for outputting the examination result in the step 4.2 as an examination result report through a freemaker engine, storing the examination result report and the video record in the step 4.3 into a 2 x 8 core and a 326 server, and generating an examination result two-dimensional code;
step 5.2, interactive feedback of the examination result is used for feeding back the two-dimensional code of the examination result to an achievement design unit if the examination result label in the step 4.2 is failed, modifying the city design achievement according to the examination result report, repeating the method from the step 3.2 to the step 5.1 until all the examination result labels in the step 4.2 show 'pass', and skipping to the step six;
step six: and the automatic updating of the digital sand table is used for automatically changing model vector data in the urban design result data into a current three-dimensional model when all labels in the plot unit of the urban design result show 'pass', so as to realize the automatic updating of the digital sand table.
Further, the automatic updating of the digital sand table in the sixth step is used for deleting the current oblique photography data and the vector model data selected based on the position of the unit plot when all the labels in the plot unit of the city design result show 'pass', and changing the type attribute of the two-dimensional vector data into the current model attribute in the city design result which is accurately positioned based on the space coordinate, so as to realize the automatic updating of the digital sand table.
Has the advantages that:
1. step 2.1 of the method, the massive standard texts of paper are innovatively translated into data formats and contents which can be recognized by a computer by planning a key point digital analysis and text semantic method, so that the method is a breakthrough in realizing the key technology of intelligent interactive review of urban design;
2. 3.5, aiming at the key industry technical problem that the error of the conventional building data is more than or equal to 5 meters, the method applies a three-dimensional scanner to carry out high-precision calibration on the current three-dimensional model of the surrounding environment of the urban design result through specific parameter setting and angle rotation, integrates a three-dimensional point cloud model to adjust the model, and innovatively controls the error of the building data model within 0.5 meter so as to meet the calculation and control requirements on various indexes in a digital essential point code library;
3. step 4.1 of the method of the invention, realize the correlation and intellectual examination computation of the digitized essential point of the basic form data, topological relation data for the first time, the intellectual judgement method of model attribute, non-form attribute data, model monomer attribute constructed, have realized the intellectual paperless examination mode of standard specification clauses and statutory planning clauses to the urban design scheme for the first time, it is the core step of this patent technology;
4. based on the integration characteristics of the digital sand table, effective information is screened for the data result contents of 8 departments such as the existing planning, the state and the forestry, and is digitally translated, so that the integration and the synthesis of planning effective control key point information are realized;
5. data standards of various figures are unified, accurate positioning and embedding of planning and designing result data and a digital sand table are guaranteed, and coordinate deviation caused by various data type differences is avoided;
6. the modern surveying and mapping technology is utilized to calibrate the data of the current three-dimensional model, so that the dynamic property and the accuracy of the current three-dimensional model data of the digital sand table are ensured;
7. based on a digital sand table, the automatic intelligent examination is carried out on the urban design results by combining a management and control key point database, various data are calculated quickly and efficiently, and the comprehensiveness and the efficiency of various key point examinations are ensured;
8. by utilizing the three-dimensional holographic projection technology, the examination result is visualized to perform multi-round interactive feedback with a design unit, so that the information interaction is ensured to be fast and accurately grasped, and the feedback optimization efficiency is greatly improved;
9. the approved city design results are embedded into the digital sand table to replace the original current state three-dimensional model information, so that the dynamic automatic updating of the digital sand table is ensured, and the management defect caused by outdated data of the sand table data is avoided.
Drawings
FIG. 1 is a flow chart of the paperless intelligent interactive review method for city design based on entity model.
Detailed Description
The technical solution of the present invention will be further described in detail with reference to the accompanying drawings and examples.
The invention discloses a paperless intelligent interactive inspection method for city design based on an entity model, which comprises the following modules: a basic data integration and sand table construction module, namely superposing urban oblique photography data and current situation three-dimensional model data to generate a space chassis, embedding urban multi-source space big data to perform unified coordinate and format conversion, and performing data integration superposition; then, a digital database for urban design examination is built, and an urban design examination key point database is formed by digitally converting the standard specification of urban planning and design and the statutory planning into a code language and embedding the code language into a digital sand table; on the basis, inputting and identifying city design result data, digitally converting and classifying the city design result according to a reporting standard, extracting the city design result, embedding the city design result with a digital sand table, and calibrating a peripheral current three-dimensional model; then, the method is used for intelligently examining the urban design results and generating labels; generating an examination report result, and modifying and adjusting the urban design result according to the report result by the design scheme to carry out interactive feedback; finally, the examined city design results are updated into the digital sand table.
The technical scheme of the invention is explained in detail in the following by combining the Weihai case and the attached drawings.
The module composition of the method is shown in figure 1, and the module is described in detail as follows:
(1) the basic data integration and the sand table construction are specifically as follows:
and (1.1) acquiring multi-source space big data, wherein the data mainly comprises surveying and mapping terrain data, vector building form data, road data and oblique photography data. Wherein, for terrain data, vector building form data (namely building form outline and height data) and road data, downloading and acquiring by using a network open source map platform, wherein the file format is shp, and checking is carried out by combining with relevant data such as city buildings, land, roads and the like which are researched and arranged on site; for oblique photography data, an unmanned aerial vehicle carrying a surveying and mapping camera with 1.2 hundred million or more pixels, 5 CMOS, 35mm focal length and storage capacity of more than 320GB is used for acquiring urban space images from five different angles of one vertical angle, four oblique angles and the like; and storing the collected multisource space big data in a data server with a space above 32G and a space above 5T.
(1.2) uniformly coupling the coordinates and elevations of the multi-source space big data, and performing fusion processing on the multi-source space big data by using a format integration technology, a dimension integration technology, a coordinate conversion technology, an integration platform technology and the like by taking uniform dimensions and formats as references to obtain unified data so as to facilitate overlapping analysis of the multi-source data. The dimension integration technology is used for summarizing and integrating urban data of different dimensions and performing comparative research; the coordinate system conversion technology carries out coordinate conversion on basic data of different space coordinates, and the same set of coordinates, namely a national 2000 coordinate system, is used; the integration platform technology is used for superposing and summarizing different data of the same city space on the same data platform for analyzing and processing the data, and the data formats are unified into the shp, mdb and gdb formats compatible with supermap.
And (1.3) generating a current three-dimensional model and constructing a digital sand table, and constructing the urban design digital sand table. In the construction of the digital sand table, the system architecture mainly comprises a client/server (C/S) structure and a three-layer C/S architecture, a client adopts NET Framework as an operating environment, and a back end uses a server cluster. Service-oriented Architecture (SOA) is adopted between the client and the back end and between the servers of the back end, and the Service-oriented Architecture is mainly realized through dubbo + zookeeper, so that high availability of interface Service is ensured. On the system structure, the acquired terrain, building and road vector data are generated into a current three-dimensional model, the current three-dimensional model and an oblique photography data set are loaded into the system together, and the oblique photography is attached to a current three-dimensional model vector surface on the basis of the same coordinate system, so that a digital sand table integrating current environment display and a calculable vector three-dimensional model is formed.
(2) The digital library building method for city design examination is as follows:
(2.1) digitization of Standard Specification rules
(2.1.1) the concrete content of the standard specification provisions is the national standard specification covered by urban planning and design and the standard specification promulgated by local government to be carried out, wherein the standard specification of the national level comprises the national standard specification and the national standard specification covered by the national common and national urban and rural planning laws and regulations and supporting administrative laws and regulations and normative documents, the regulations and regulations on the planning and the construction of villages and towns, the regulation and the regulation of urban and rural planning and establishment, the regulation and approval of the planning and approval of urban system planning and establishment, the regulation and the establishment of protection and planning of famous city of historical culture, the regulation of the review of urban overall planning, the regulation of urban design and management, and the like; the local standard specification is as 'Shenzhen city design standard and criterion'. And the formats of the standard specification files comprise paper files, word file formats and pdf file formats.
(2.1.2) the digitalization method of the standard specification clause analyzes the word and pdf file of the standard specification by combining a text semantic analysis mode and manual check through an OCR technology, extracts the standard and specification requirements proposed for city planning and design results, and forms a digitalized important point set (such as a table 1) which comprises the names or the numbers of the plot units, and the control type, the control object elements, the topological relation, the control elements, the control requirements, the control element attributes, the control element attribute values and the control intensity of each plot unit. For example, the standard specification texts contain the required parameters corresponding to the text types such as line withdrawal, sunlight spacing and the like; according to the fortieth regulation in the technical regulation for urban planning and management in Weihai City, when the red line width of a planned road is more than or equal to 50 meters, the backward distance of the building is not less than 30 meters; through keyword recognition, and mapping to { ' a block unit number ═ all ', a control category { ' building element spatial metric constraint ', ' a control object element ═ new building ', ' a topology element ═ road with a width of 50 meters or more ', ' a topology relationship ═ distance ', ' a control element ═ building boundary ', ' a control requirement ═ greater than or equal to ', ' a control element attribute ═ distance ', ' a control element attribute value ═ 30 meters ', ' a control intensity ═ must }, among the set of criteria.
TABLE 1
(2.2) digitization of statutory plan clause
(2.2.1) the statutory planning clause specifically includes general planning (including village and town planning), detailed planning (detailed control planning and detailed construction planning), town system planning, and regional planning. And the format of the legal planning file comprises a paper file, a CAD file, a GIS file, a word file format and a pdf file format.
(2.2.2) the digitalization method of the legal planning clause analyzes related files of the legal planning by combining a text semantic analysis mode and manual check through an OCR technology, extracts requirements for city planning and design results, and forms a digitalized essential point set which comprises names or numbers of plot units, and control types, control object elements, topological relations, control elements, control requirements, control element attributes, control element attribute values and control strength of each plot unit. For example, the statutory planning clauses include the requirement parameters corresponding to the clause types such as height control, volume rate and the like; wherein, the picture of the detail plan of the control of Weihai city specifies the unit of the Huangguan tablet area Chg-29-27 land, and the height of the building is controlled by 35 meters; through keyword recognition, and mapping to { 'land block unit number ═ Chg-29-27', a control category { 'building element attribute constraint', 'control object element ═ new building', 'control element ═ building height', 'control requirement ═ less than or equal to', 'control element attribute ═ distance', 'control element attribute value ═ 35 m', 'control strength ═ must' } in a set of criteria.
(2.3) digital important point duplicate checking and screening
And integrating and comparing the standard clauses and the data obtained after the digital conversion of the legal planning clauses, comparing parameters of the same control type in the same region with the main points of the control object elements, if the parameters of the control main points are inconsistent, calculating, analyzing and combining the parameters, and taking the intersection of the parameters as the index parameter of the final integration, namely selecting the clause with more strict requirements on the control as the final main point. For example, fifty-two requirements in chapter eight of the city planning management technical regulation of Weihai City, the green space rate of a newly built multi-storey house must be more than or equal to 35%; in the map of the temporary harbor district 38-15 (land for multi-storey housing) in the 'Weihai city controllability detail plan', the green space rate is regulated to be less than 40 percent; the intersection of the governing points of the regional planning standard specification and the legal planning regulation is selected according to the requirements of the regional planning standard specification and the legal planning regulation, namely the greenfield rate of the block unit is more than or equal to 40%.
(2.4) coding and establishing a database of the digitalized important points, translating all the digitalized important points after the duplication checking and screening into computer code languages by using a space rule engine, establishing the database by adopting a NoSQL technology and a MongoDB technology to generate a main point code database for urban design examination, and storing data by using a 2X 8 core processor, a 32G memory, computer equipment of a 5T storage space and Oracle 11G R2 enterprise database software; the space rule engine realizes the compiling, assembling, configuring and multiplexing of the rules by adopting the modes of operators, modules, rule items, rules and templates. The engine mainly comprises two modules of a rule configuration environment and a rule operation environment: and the rule configuration module is used for creating a logic Business Object Model (BOM), mapping the BOM into a customized specific domain vocabulary, associating the BOM with the execution model and the XML mode, creating rules and rule items and configuring corresponding parameters.
(2.5) embedding the digital key point library building and the digital sand table
The key point code base used for automatically matching the names or the numbers of the associated plot units in the step 2.4 with the plot unit models in the digital sand table and carrying out space geographic coordinate and projection coordinate alignment, wherein the plot unit models in the digital sand table contain the same names or number information;
(3) city design achievement data input and recognition
And (3.1) performing digital conversion of the reporting standard, and identifying and converting paper files, word and pdf of 'planning reporting and building technical specification' of the location of the target city. By means of OCR technology, text semantic parsing mode and manual checking are combined, drawing types and drawing standards are extracted, and the drawing types comprise CAD (star, dwg), GIS (star, shp, mdb, gdb) and SU (star, skp) formats. Wherein, the various graphs uniformly adopt a national 2000 coordinate system and a 1985 national elevation standard; the CAD drawing standard comprises a drawing name, a layer color, an entity type and a line type style; the GIS drawing standard comprises a drawing name, a layer name, an element code, an element type, an element color, a field name and parameter precision; the SU drawing standard comprises a picture name and a layer name. (Table 2)
TABLE 2
And (3.2) digitalizing the urban design result, and carrying out standardized processing on the urban design result data according to the reporting and establishing standard, wherein the standardized processing comprises information extraction of paper files, drawing and parameter unification of electronic files. And (3) the urban design result comprises a paper document text, a result CAD, SU and GIS documents, the paper document is scanned and subjected to semantic recognition analysis, relevant attributes and parameters of the urban design result are extracted, and the urban design result and the electronic version CAD, SU and GIS documents are subjected to unified treatment according to the planning and reporting standard in the step (3.1) to be matched with the digital sand table system.
(3.3) automatic classification and extraction of the city design results, namely classification and extraction of digitized city design result data, wherein the digitized city design result data comprises model vector data and basic attribute data; classifying the data according to the following mode, wherein for the model vector data, the data are divided into cad and gis data in two dimensions and su and gis data in three dimensions; the basic attribute data, namely the data contents of urban design paper texts and descriptions and labels of other electronic documents, are classified into text or table Excel formats.
(3.4) automatic embedding of urban design achievement and spatial sand table
And (3.4.1) hiding the current situation three-dimensional model and attribute parameters of the city design land block unit, projecting the current situation three-dimensional model and attribute parameters into a digital sand table according to the coordinates of the land block unit of the city design result, determining the range of the city design, and automatically selecting the current situation three-dimensional model in the range to hide data.
(3.4.2) based on the automatic embedding of the spatial position, based on the common national 2000 spatial coordinate system and the 1985 elevation standard, the two-dimensional vector form model and the non-form attribute data extracted from the city design result data classification are connected with the plot unit of the digital sand table by accurate coordinate placement and attribute. The two-dimensional vector form model comprises an achievement CAD two-dimensional model, a GIS two-dimensional model, an SU three-dimensional model and attribute table parameters attached to the models.
(3.4.3) automatic mosaicing based on attribute parameters, i.e. the non-morphological attribute data includes text and other parameters noted in Excel. (table 3) linking the attribute parameters to the parcel units of the corresponding coordinates and numbers using the coordinate information and parcel unit number or name information included in the attribute parameters as references for attribute connection.
TABLE 3
| Plot unit numbering | Volume fraction | Greenfield ratio | Building density | Height control |
| ZF-34-05 | 2.0 | 50％ | 18％ | 80 m |
| ZF-34-06 | 1.3 | 35％ | 40％ | 35m |
| ZF-34-07 | 1.5 | 40％ | 22％ | 50 m |
| …… |
(3.5) calibration of current three-dimensional model of city design result surrounding environment
(3.5.1) actually measuring the surrounding environment of the city design result, and carrying out field survey on the city design plot by expanding the range of a block outwards by using a three-dimensional scanner, wherein the parameter requirements of measuring equipment are that in the visible range of a distance measuring unit, the maximum 50 ten thousand points/second are at 614 m, 100 ten thousand points/second are at 307 m, and 200 ten thousand points/second are at 153 m; 165 megapixels and above are required in a color cell; the rotating unit requires a field of view of 300 ° longitudinal/360 ° transverse; the laser grade is 1 grade laser; the range error is 1 m. After stabilizing the three-dimensional scanning environment; calculating the position of the scanning equipment relative to the scanned object according to a preset scanning mode of the three-dimensional scanner so as to calibrate the three-dimensional scanner; capturing three-dimensional data of different angles of a scanned object through equipment; further acquiring a three-dimensional point cloud model in a point cloud splicing mode, and storing the acquired data in 32GB SDHCTMIn the memory card.
(3.5.2) converting and embedding the surrounding environment of the city design result into a sand table, converting the acquired point cloud data into a skp format file, importing the skp format file into the digital sand table according to the acquired model parameter coordinates, and accurately positioning the skp format file to a specific spatial position;
(3.5.3) calibrating the current three-dimensional model according to the surrounding environment of the urban design result, comparing the model data of the placement with the three dimensions of the horizontal dimension, the vertical dimension and the depth of the building block of the current three-dimensional model, namely comparing whether the plane boundary and the height of the model are consistent, deleting the original current three-dimensional model if the deviation exists, and replacing the model with a new model.
(4) Intelligent review and label generation for urban design results
(4.1) Intelligent review of City design efforts
(4.1.1) carrying out attribute calculation on the two-dimensional model data in the embedded city design result, and connecting all attribute data into a unit plot, wherein the attribute data comprises basic form data and topological relation data. Such as the volume fraction of the unit, greenfield fraction, maximum height, average height, building density, building setbacks, building spacing, building color, roof form, and the like. (Table 4)
TABLE 4
(4.1.2) comparing and examining the city design results, further calling key point codes of the city design results in the digital sand table corresponding to the plot units, namely judging standard code languages, loading a rule template through an intelligent rule engine, calling a rule operator, carrying out rule operation according to rule flow loading data, and calculating whether the model attribute, the non-form attribute data and the model monomer attribute of each unit plot meet all judgment standards one by one. For example, the highest height of the city design result of the HG-02-03 plot unit is 60 meters, the height of the control requirement of the unit is forbidden to be more than 80 meters, and the attribute of the design result meets the control requirement; if the volume rate of the city design result of the HG-03-01 plot unit is 1.2, and the control requirement of the unit is that the volume rate must be greater than or equal to 1.5, the design result attribute does not meet the control requirement.
(4.2) automatic classification of examination results and automatic generation of labels
(4.2.1) automatically classifying examination results, automatically classifying according to the intelligent examination results of the key points, comparing the attribute parameters of the urban design results with the key point codes one by one, calculating whether each attribute of the urban design results meets the control requirement, classifying the attributes meeting the requirement into 'passing classes', and classifying the attributes not meeting the requirement into 'non-passing classes'.
(4.2.2) automatically generating examination result labels, and marking each examination result on a corresponding plot unit and a corresponding model monomer in the form of a label, wherein the label comprises a passing standard source, a non-passing standard source, a standard type main point and a legal planning type main point, and annotating an original image-text file of a rule in each examination result.
(4.3) carrying out holographic three-dimensional interactive display on the examination result, carrying out omnibearing three-dimensional display on the city design result with the examination result label and the peripheral current situation three-dimensional model in a digital sand table through a holographic sand table comprising a holographic operation system, a holographic developing system and a dynamic catching system, and exporting a video recording;
(5) review result report generation and interactive feedback
(5.1) generating an examination result report, outputting the examination result in the step (4.2) as the examination result report through a freemaker engine, storing the examination result report and the video record in the step (4.3) into a 2 x 8 core and 32G data server, and generating an examination result two-dimensional code;
(5.2) interactively feeding back the examination result, feeding back the two-dimensional code of the examination result to an achievement design unit when the examination result label in the step (4.2) does not pass, checking which specific requirement in the standard specification and the legal plan is not met according to an examination result report, modifying the urban design achievement corresponding to the relevant management and control requirement, repeating the steps (3.2) to (5.1) until all the examination result labels in the step (4.2) show pass, and skipping to the step (6);
(6) automatic updating of digital sand tables
(6.1) deleting the current three-dimensional model and the attribute parameters of the city design plot unit, projecting the current three-dimensional model and the attribute parameters into a digital sand table according to the plot unit coordinates of the city design results when all labels in the plot unit in which the city design results are located show 'pass', determining the range of city design, and automatically selecting the current three-dimensional model and oblique photography in the range to delete data.
(6.2) replacing a new city design result, and in the city design result of accurate positioning based on the space coordinates, changing the type attribute of the two-dimensional three-dimensional vector data into the attribute of the current model, and embedding the attribute into the digital sand table to realize the automatic updating of the digital sand table.
The foregoing detailed description of the preferred embodiments of the invention has been presented. It should be understood that numerous modifications and variations could be devised by those skilled in the art in light of the present teachings without departing from the inventive concepts. Therefore, the technical solutions available to those skilled in the art through logic analysis, reasoning and limited experiments based on the prior art according to the concept of the present invention should be within the scope of protection defined by the claims.
Claims (6)
1. The city design paperless intelligent interactive examination method based on the entity model is characterized by comprising the following steps:
the method comprises the following steps: integrating basic data and constructing a digital sand table;
step 1.1: the method comprises the steps of obtaining multi-source space big data, acquiring surveying and mapping topographic data, vector building form data and road data in a target city built-up area, and acquiring and storing three-dimensional oblique photography data in the target city built-up area through an unmanned aerial vehicle carrying a surveying and mapping camera, wherein pixels of the surveying and mapping camera are 1.2 hundred million or more, CMOS is 5, the focal length is 35mm, and the storage capacity is more than 320 GB;
step 1.2: the multi-source spatial big data coordinate and elevation unified coupling is used for carrying out coordinate and data format unification on the spatial big data and inputting the spatial big data into a geographic information system platform by utilizing a format integration technology, a dimension integration technology and a coordinate conversion technology;
step 1.3: the method comprises the steps of generating a current three-dimensional model and constructing a digital sand table, modeling three-dimensional terrain data, vector building form data and road data input into a geographic information system platform by utilizing a 2 x 8 core processor, a 32G memory and a computer device and a data engine of a 300G network table space, generating a city current three-dimensional model, and spatially superposing the city current three-dimensional model and oblique photography data to form the digital sand table which integrates current environment display and can calculate a vector three-dimensional model;
step two: digital library construction for city design examination;
step 2.1: digitalizing standard specification texts, wherein the digitalization is used for acquiring urban planning standard specification data of a target urban location, extracting word or pdf files of the standard specification texts which provide requirements for urban design, performing data summarization and semantic segmentation on key points of each land parcel in the standard specification texts through text semantic analysis, performing semantic retrieval through keywords, and dividing points to be divided into constraint classes, key point types, key point descriptions and parameter columns, and associating the key points with land parcel unit names or numbers to generate digitalized key points of the standard specification texts of associated land parcels; the standard specification article comprises national standard specifications covered by city planning and design and standard specifications issued and implemented by local governments, and comprises requirements on sunlight spacing in a plot and specific indexes of building line-returning;
step 2.2: digitalizing the legal planning clause, wherein the digitalization is used for acquiring city planning legal planning data of the location of the target city, extracting a word or pdf file of the legal planning clause which puts requirements on city design, and generating the digitalized key points of the legal planning clause of the associated plot according to the same method as the step 2.1; the legal planning provisions comprise national legal planning provisions covered by city planning and design and legal planning provisions issued and implemented by local governments, and comprise legal planning types of overall planning, detailed planning, urban system planning and regional planning, and the content of the legal planning provisions comprises the requirements of development strength, facility quantity and specific indexes of facility scale;
step 2.3: the digital key points are coded and built into a database, all the digital key points after the duplicate checking and screening are translated into computer code languages, a NoSQL technology and a MongoDB technology are adopted for data building, a digital key point database for urban design examination is generated, and data storage is carried out through a 2 x 8 core processor, a 32G memory, computer equipment in a 300G network disk space and Oracle 11G R2 enterprise database software;
step 2.4: the digital key point library is embedded with a digital sand table, and is used for automatically matching the digital key point library containing the names or numbers of the associated block units in the step 2.4 with block unit models in the digital sand table, and performing space geographic coordinate and projection coordinate alignment, wherein the block unit models in the digital sand table contain the same names or number information;
step three: inputting and identifying city design result data;
step 3.1: the digital translation of the reporting and establishing standard is used for extracting the drawing types and drawing standards in the planning reporting and establishing technical specification of the location of a target city, wherein the drawing types and drawing standards comprise area, lines, point sets, characters and names, codes, layers, categories, parameters and entity information;
step 3.2: the digitization of the urban design result is used for carrying out standardized processing on the urban design result data according to the reporting and building standard, and the standardized processing comprises information extraction of paper files, drawing and parameter unification of electronic files;
step 3.3: the automatic classification and extraction of the city design result is used for classifying and extracting digitized city design result data, wherein the city design result data comprises model vector data and basic attribute data;
step 3.4: the automatic embedding of the urban design results and the spatial sand table is used for carrying out spatial embedding on the classified and extracted urban design result data and the urban digital sand table;
step 3.5: the method comprises the following steps of calibrating a current state three-dimensional model of a surrounding environment of a city design result, and carrying out field survey on a city design plot by using a three-dimensional scanner to expand the range of a block outwards, wherein the parameter requirements of measuring equipment are that the maximum 50 ten thousand points/second at 614 m, 100 ten thousand points/second at 307 m and 200 ten thousand points/second at 153 m in the visible range of a distance measuring unit; 165 megapixels and above are required in a color cell; the rotating unit requires a field of view of 300 ° longitudinal/360 ° transverse; the laser grade is 1 grade laser; the distance measurement error is 1 m;
after stabilizing the three-dimensional scanning environment; calculating the position of the scanning equipment relative to the scanned object according to a preset scanning mode of the three-dimensional scanner so as to calibrate the three-dimensional scanner; capturing three-dimensional data of different angles of a scanned object through equipment; further acquiring a three-dimensional point cloud model in a point cloud splicing mode, and storing the acquired data in 32GB SDHCTMStoring in a memory card;
converting the acquired point cloud data into a skp format file, accurately guiding the point cloud data into a digital sand table, comparing the point cloud data with the horizontal dimension, the vertical dimension and the depth dimension of a building block of the current three-dimensional model, comparing whether the plane boundary and the height of the model are consistent or not, deleting the original current three-dimensional model if deviation exists, and replacing the model with a new model;
step four: intelligent examination and label generation of city design results;
step 4.1: the intelligent examination of the urban design result is used for carrying out attribute calculation on the two-dimensional model data in the embedded urban design result and connecting all attribute data into a unit plot, wherein the attribute data comprises basic form data and topological relation data; further calling digital essential point codes of the city design result corresponding to the plot units in the digital sand table, namely a code language of a judgment standard, matching and examining the digital essential point codes and the city design result data embedded in the digital sand table through an intelligent rule engine, and calculating whether the model attribute, the non-form attribute data and the model monomer attribute of each unit plot meet all judgment standards;
step 4.2: automatically classifying the examination results and automatically generating labels, wherein the labels are used for automatically classifying the intelligent examination results of the digital key point codes planned by the standard specification and the legal system, and generating examination result labels for each examined plot unit and model monomer, the labels comprise 'pass' and 'fail' and judgment standard sources, namely standard specification type rules and legal system type rules, and original image-text files of the rules are annotated in each examination result;
step 4.3: the holographic three-dimensional interactive display of the examination result is used for carrying out omnibearing three-dimensional display on the city design result with the examination result label and the peripheral current situation three-dimensional model in the digital sand table through the holographic sand table comprising a holographic operation system, a holographic developing system and a dynamic catching system, and exporting a video recording;
step five: generating an examination result report and interactively feeding back;
step 5.1: generating an examination result report, wherein the examination result in the step 4.2 is output as an examination result report through a freemaker engine, the examination result report and the video record in the step 4.3 are stored in a 2 x 8 core and a 32G server, and an examination result two-dimensional code is generated;
step 5.2: interactive feedback of the examination result, which is used for feeding back the two-dimensional code of the examination result to an achievement design unit if the examination result label in the step 4.2 is failed, modifying the city design achievement according to the examination result report, repeating the method from the step 3.2 to the step 5.1 until the examination result label in the step 4.2 shows the pass, and then skipping to the step six;
step six: and the automatic updating of the digital sand table is used for automatically changing model vector data in the urban design result data into a current three-dimensional model when all labels in the plot unit of the urban design result show 'pass', so as to realize the automatic updating of the digital sand table.
2. The method according to claim 1, wherein the step 2.1 is a digitization of standard specification texts, wherein the digitization points of the standard specification texts associated with the land parcel are composed of a fixed excel format, each land parcel comprises a plurality of the digitization points of the standard specification texts, and the points are converted into a code language through a rule code and stored in a digitization point code library.
3. The method of claim 1, wherein the step 2.1 is a standard specification for digitalization of a rule, wherein a paragraph where the number is located is translated into a fixed language format recognizable by a computer, and characters to be described are decomposed into a main point purpose, a main point position, a main point object, a measuring and calculating method and a specific numerical value by a supervised machine learning and training computer according to the language format.
4. The entity model-based urban design paperless intelligent interactive review method according to claim 1, wherein the step 2.1 is a digitization of standard specification provisions, and the "constraint classes" are rule models, element attribute constraint classes, custom model constraint classes, and spatial measurement constraint classes, which are constructed for various key points; the key point type is the key point types such as the sunlight interval, the building line-returning and the like mentioned in the standard specification; the key point description is that the computer automatically searches the number appearing in the key point, takes the period number as the boundary of the semantic segment, and translates the segment where the number is located into the fixed language format which can be identified by the computer; the 'parameter column' sets a buffer zone according to the road where the land parcel is located, the width of the buffer zone is consistent with the width of the road, and intelligent examination related to the digitalized key point is all carried out in the buffer zone.
5. The entity model-based urban design paperless intelligent interactive inspection method according to claim 1, wherein the step 3.4 of automatic embedding of the result and the spatial sand table means that based on a common spatial coordinate system and an elevation standard, urban design result data are classified and extracted to obtain results, that is, two three-dimensional vector morphological models and non-morphological attribute data are subjected to precise coordinate placement and attribute connection with a plot unit of the digital sand table; the two-dimensional vector form model comprises an achievement CAD two-dimensional model, a GIS two-dimensional model, an SU three-dimensional model and attribute table parameters attached to the models; the amorphous attribute data includes other parameters noted in Excel.
6. The entity-model-based urban design paperless intelligent interactive review method according to claim 1, wherein the six-step automatic updating of the digital sand table is performed to delete the current oblique photography data and the vector model data selected based on the unit plot position when all tags in the plot unit of the urban design result show "pass", and to change the type attribute of the two-dimensional vector data into the current model attribute in the urban design result that is accurately located based on the spatial coordinates, so as to implement the automatic updating of the digital sand table.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011185312.6A CN112270027B (en) | 2020-10-29 | 2020-10-29 | Paperless intelligent interactive examination method for city design based on entity model |
| PCT/CN2020/135195 WO2022088407A1 (en) | 2020-10-29 | 2020-12-10 | Urban design paperless intelligent interactive review method based on solid model |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011185312.6A CN112270027B (en) | 2020-10-29 | 2020-10-29 | Paperless intelligent interactive examination method for city design based on entity model |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112270027A true CN112270027A (en) | 2021-01-26 |
| CN112270027B CN112270027B (en) | 2021-07-09 |
Family
ID=74345367
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011185312.6A Active CN112270027B (en) | 2020-10-29 | 2020-10-29 | Paperless intelligent interactive examination method for city design based on entity model |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN112270027B (en) |
| WO (1) | WO2022088407A1 (en) |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112348317A (en) * | 2020-10-15 | 2021-02-09 | 中国城市规划设计研究院 | Project planning condition generation method and system for smart city |
| CN112712592A (en) * | 2021-03-26 | 2021-04-27 | 泰瑞数创科技(北京)有限公司 | Building three-dimensional model semantization method |
| CN112990605A (en) * | 2021-04-22 | 2021-06-18 | 武汉市规划研究院 | Method and device for planning and compiling on whole flow line |
| CN113269875A (en) * | 2021-04-30 | 2021-08-17 | 睿宇时空科技(重庆)有限公司 | Building design scheme evaluation method and system based on virtual-real fusion of real scene and simulation three-dimensional model and storage medium |
| CN113449420A (en) * | 2021-06-28 | 2021-09-28 | 浙江图盛输变电工程有限公司温州科技分公司 | Three-dimensional measurement data analysis method for image live-action management and control platform |
| CN113643432A (en) * | 2021-08-20 | 2021-11-12 | 北京市商汤科技开发有限公司 | Data editing method and device, computer equipment and storage medium |
| CN114417458A (en) * | 2021-12-22 | 2022-04-29 | 山东同圆数字科技有限公司 | Construction project online multidimensional reporting and construction collaboration system based on CIM technology |
| CN114490907A (en) * | 2022-01-25 | 2022-05-13 | 广州市城市规划勘测设计研究院 | Method and device for constructing famous city management database and storage medium |
| CN117670242A (en) * | 2023-12-08 | 2024-03-08 | 格瑞利(江苏)智能科技有限公司 | Digital twinning-based smart city management method and system |
| CN118297775A (en) * | 2024-04-12 | 2024-07-05 | 中南大学 | Urban planning management and control system based on digital twin technology |
Families Citing this family (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115017575B (en) * | 2022-05-17 | 2023-05-26 | 同济大学建筑设计研究院(集团)有限公司 | Sponge city digital design cloud computing interaction system based on Excel-VBA language |
| CN115292789B (en) * | 2022-08-12 | 2023-04-28 | 东南大学建筑设计研究院有限公司 | Building body quantity digital generation method based on morphological type in city design |
| CN115099722B (en) * | 2022-08-24 | 2022-11-18 | 自然资源部第三航测遥感院 | Knowledge pedigree-based homeland space planning index model management and application method |
| CN115544622B (en) * | 2022-10-11 | 2023-12-26 | 同济大学 | Urban and rural participated three-dimensional planning design platform, method, equipment and storage medium |
| CN115879208B (en) * | 2023-01-30 | 2023-05-02 | 中国铁路设计集团有限公司 | Intelligent design method and system for urban rail engineering station room |
| CN116310188B (en) * | 2023-05-19 | 2023-09-19 | 中国电子科技南湖研究院 | Virtual city generation method and storage medium based on instance segmentation and building reconstruction |
| CN116403132B (en) * | 2023-06-08 | 2023-08-18 | 江西省公路科研设计院有限公司 | Ground object identification method for generating symptom ground removal table based on image and machine algorithm |
| CN116959020B (en) * | 2023-07-20 | 2024-02-23 | 广州市规划和自然资源自动化中心(广州市基础地理信息中心) | Drawing file index self-checking method and system |
| CN116612421B (en) * | 2023-07-20 | 2023-09-29 | 山东高速股份有限公司 | Method and equipment for identifying built environment by fusing multi-source space data |
| CN117291530A (en) * | 2023-09-25 | 2023-12-26 | 广东省城乡规划设计研究院有限责任公司 | Gauge control examination system and method based on multi-rule translation |
| CN117251518B (en) * | 2023-09-28 | 2024-06-21 | 广东省城乡规划设计研究院科技集团股份有限公司 | Urban safety planning design method for synchronous operation of GIS platform and CAD platform |
| CN117829100A (en) * | 2023-12-26 | 2024-04-05 | 泰瑞数创科技(北京)股份有限公司 | Basic geographic entity data conversion method and device |
| CN118522400A (en) * | 2024-02-06 | 2024-08-20 | 湖南凯莱谱生物科技有限公司 | System and method for analyzing data of group |
| CN118438671B (en) * | 2024-07-08 | 2024-09-03 | 菏泽单州数字产业发展有限公司 | Urban three-dimensional model making system and method based on 3D printing |
| CN118520580A (en) * | 2024-07-25 | 2024-08-20 | 中国铁路设计集团有限公司 | Track traffic BIM model integrity inspection method and system based on B/S architecture |
| CN118626506B (en) * | 2024-08-14 | 2024-10-15 | 天津市城市规划设计研究总院有限公司 | Automatic updating method and system for planning vector data in urban planning field |
| CN118710839A (en) * | 2024-08-27 | 2024-09-27 | 浪潮智慧城市科技有限公司 | Urban safety field visualization method and device based on three-dimensional map |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102004963A (en) * | 2010-12-02 | 2011-04-06 | 张磊 | Digital city generation method and system |
| CN108765567A (en) * | 2018-05-23 | 2018-11-06 | 东南大学 | A kind of system for building urban design digitlization sand table |
| CN109598055A (en) * | 2018-11-30 | 2019-04-09 | 南京市城市规划编制研究中心 | The automatic checking method of control is implemented in urban design |
| CN109697316A (en) * | 2018-12-22 | 2019-04-30 | 广州市天作建筑规划设计有限公司 | Urban design digitlization, virtual interactive interface system |
| US20190147118A1 (en) * | 2017-11-10 | 2019-05-16 | Autodesk, Inc. | Techniques for automatically analyzing competing design objectives when generating designs for urban design projects |
| CN109918526A (en) * | 2019-03-19 | 2019-06-21 | 上海市测绘院 | A kind of BIM towards planning management and 3DGIS fusion method |
| CN110298568A (en) * | 2019-06-19 | 2019-10-01 | 国网上海市电力公司 | A kind of checking method examining specification provision based on digitlization |
| CN111428287A (en) * | 2018-12-21 | 2020-07-17 | 上海拓观建筑规划设计有限公司 | Building scheme optimization method based on building design |
| CN111782758A (en) * | 2020-06-18 | 2020-10-16 | 万翼科技有限公司 | Drawing review result viewing method based on CAD and related device |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108416123A (en) * | 2018-02-13 | 2018-08-17 | 西安理工大学 | A kind of IFC data model construction methods of Design-Oriented norms review |
| CN109726470B (en) * | 2018-12-27 | 2023-08-04 | 深圳市数字城市工程研究中心 | Three-dimensional model index checking method, device and medium |
| CN111681315B (en) * | 2020-06-10 | 2022-10-04 | 中国电子科技集团公司第二十八研究所 | High altitude and profile plotting positioning method based on three-dimensional GIS map |
| CN111651056A (en) * | 2020-06-10 | 2020-09-11 | 浙江商汤科技开发有限公司 | Sand table demonstration method and device, computer equipment and storage medium |
-
2020
- 2020-10-29 CN CN202011185312.6A patent/CN112270027B/en active Active
- 2020-12-10 WO PCT/CN2020/135195 patent/WO2022088407A1/en active Application Filing
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102004963A (en) * | 2010-12-02 | 2011-04-06 | 张磊 | Digital city generation method and system |
| US20190147118A1 (en) * | 2017-11-10 | 2019-05-16 | Autodesk, Inc. | Techniques for automatically analyzing competing design objectives when generating designs for urban design projects |
| CN108765567A (en) * | 2018-05-23 | 2018-11-06 | 东南大学 | A kind of system for building urban design digitlization sand table |
| CN109598055A (en) * | 2018-11-30 | 2019-04-09 | 南京市城市规划编制研究中心 | The automatic checking method of control is implemented in urban design |
| CN111428287A (en) * | 2018-12-21 | 2020-07-17 | 上海拓观建筑规划设计有限公司 | Building scheme optimization method based on building design |
| CN109697316A (en) * | 2018-12-22 | 2019-04-30 | 广州市天作建筑规划设计有限公司 | Urban design digitlization, virtual interactive interface system |
| CN109918526A (en) * | 2019-03-19 | 2019-06-21 | 上海市测绘院 | A kind of BIM towards planning management and 3DGIS fusion method |
| CN110298568A (en) * | 2019-06-19 | 2019-10-01 | 国网上海市电力公司 | A kind of checking method examining specification provision based on digitlization |
| CN111782758A (en) * | 2020-06-18 | 2020-10-16 | 万翼科技有限公司 | Drawing review result viewing method based on CAD and related device |
Non-Patent Citations (5)
| Title |
|---|
| FIRAS A. SALMAN AL-DOURI: "IMPACT OF UTILIZING 3D DIGITAL URBAN MODELS ON THE DESIGN CONTENT OF URBAN DESIGN PLANS IN US CITIES", 《HTTP://HDL.HANDLE.NET/1969.1/4324》 * |
| 威海市自然资源和规划局: "威海市城市设计数字化平台:从静态蓝图到数字化管控", 《中国建设信息化》 * |
| 朱萌 等: "从三维模型到全息模型：智慧模型在城市规划中的运用—以巢湖市城市规划辅助系统为例", 《安徽建筑大学学报》 * |
| 杨俊宴: "从数字设计到数字管控：第四代城市设计范型的威海探索", 《城市规划学刊》 * |
| 杨俊宴: "全数字化城市设计的理论范式探索", 《国际城市规划》 * |
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112348317A (en) * | 2020-10-15 | 2021-02-09 | 中国城市规划设计研究院 | Project planning condition generation method and system for smart city |
| CN112348317B (en) * | 2020-10-15 | 2023-06-20 | 中国城市规划设计研究院 | Method and system for generating project planning conditions of smart city |
| CN112712592A (en) * | 2021-03-26 | 2021-04-27 | 泰瑞数创科技(北京)有限公司 | Building three-dimensional model semantization method |
| CN112990605A (en) * | 2021-04-22 | 2021-06-18 | 武汉市规划研究院 | Method and device for planning and compiling on whole flow line |
| CN112990605B (en) * | 2021-04-22 | 2021-07-30 | 武汉市规划研究院 | Method and device for planning and compiling on whole flow line |
| CN113269875A (en) * | 2021-04-30 | 2021-08-17 | 睿宇时空科技(重庆)有限公司 | Building design scheme evaluation method and system based on virtual-real fusion of real scene and simulation three-dimensional model and storage medium |
| CN113449420A (en) * | 2021-06-28 | 2021-09-28 | 浙江图盛输变电工程有限公司温州科技分公司 | Three-dimensional measurement data analysis method for image live-action management and control platform |
| CN113643432A (en) * | 2021-08-20 | 2021-11-12 | 北京市商汤科技开发有限公司 | Data editing method and device, computer equipment and storage medium |
| CN114417458A (en) * | 2021-12-22 | 2022-04-29 | 山东同圆数字科技有限公司 | Construction project online multidimensional reporting and construction collaboration system based on CIM technology |
| CN114490907A (en) * | 2022-01-25 | 2022-05-13 | 广州市城市规划勘测设计研究院 | Method and device for constructing famous city management database and storage medium |
| CN117670242A (en) * | 2023-12-08 | 2024-03-08 | 格瑞利(江苏)智能科技有限公司 | Digital twinning-based smart city management method and system |
| CN118297775A (en) * | 2024-04-12 | 2024-07-05 | 中南大学 | Urban planning management and control system based on digital twin technology |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2022088407A1 (en) | 2022-05-05 |
| CN112270027B (en) | 2021-07-09 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112270027B (en) | Paperless intelligent interactive examination method for city design based on entity model | |
| CN113434623B (en) | Fusion method based on multi-source heterogeneous space planning data | |
| Bastem et al. | Development of historic building information modelling: A systematic literature review | |
| CN114968984A (en) | Digital twin full life cycle management platform | |
| CN115982329A (en) | Intelligent generation method and system for engineering construction scheme compilation basis | |
| Karpinskyi et al. | Topographic mapping in the National Spatial Data Infrastructure in Ukraine | |
| Hmida et al. | Knowledge base approach for 3d objects detection in point clouds using 3d processing and specialists knowledge | |
| CN115099315A (en) | Multi-source heterogeneous geographic information data semantic fusion conversion method based on CityGML | |
| Chiang | Querying historical maps as a unified, structured, and linked spatiotemporal source: vision paper | |
| Bao et al. | Developing a rule-based dynamic safety checking method for enhancing construction safety | |
| Gärtner et al. | Object-oriented modeling of data sources as a tool for the integration of heterogeneous geoscientific information | |
| CN113486105B (en) | CIM-oriented natural resource history business data integration method and device | |
| Chiang et al. | Creating structured, linked geographic data from historical maps: challenges and trends | |
| CN114549802A (en) | Three-dimensional model data automatic association and positioning method based on OCR technology | |
| CN118170856B (en) | Data pool construction method and system suitable for modeling of artificial intelligent geological map | |
| Karmacharya et al. | ArchaeoKM: managing archaeological data through archaeological knowledge | |
| CN117523417B (en) | Method and electronic equipment applied to unified right-confirming registration of natural resources | |
| Baldissini et al. | An information system for the integration, management and visualization of 3D reality based archaeological models from different operators | |
| CN114417457B (en) | Planning project online multidimensional collaborative site selection system based on CIM technology | |
| Li et al. | Information Extraction for Semantic Enrichment of BIM for Bridges | |
| CN115934749B (en) | Integrated processing method and application of natural disaster comprehensive risk census data | |
| CN118378103B (en) | Geographic information system data matching management method based on artificial intelligence | |
| Kavadas et al. | An Integrated Environment for Monitoring and Documenting Quality in Map Composition Utilizing Cadastral Data | |
| CN114254426B (en) | Light-weight visualization system and method for monitoring excavation risk of underground space deep foundation pit | |
| KR102709647B1 (en) | Open source based Low-Code development platform considering Rapid Application Development (RAD) for small scale smart city service supporting citizen |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |