WO2022088407A1 - 基于实体模型的城市设计无纸化智能交互审查方法 - Google Patents
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Definitions
- the invention belongs to the field of urban planning, and relates to an urban design review method, in particular to a paperless intelligent interactive review method for urban design based on an entity model.
- Urban design review is one of the common business processes of urban planning management departments. Business personnel review whether the indicators of the urban design plan for the plot meet the requirements by comparing the control points of statutory planning and standard standards, and issue a review report.
- the frequency and number of updates and iterations of statutory planning and normative standards are increasing day by day.
- Massive control points have led to frequent occurrences of “missing and missing” and “contradictory” results from manual review.
- the review work increases the difficulty and time cost of urban design review.
- the common urban design review method is to manually find the control points in the statutory planning and specification standards, and calculate various indicators according to the two-dimensional drawings or low-precision block models provided by the urban design results. After a comparison, the review results are given.
- This method has problems such as large investment of manpower and material resources, long review time, easy omission of review points, and difficulty in ensuring the authenticity of review results; the other is that in the low-precision block model, the statutory planning Construct control boxes (such as height boxes, building setback boxes) with some of the control points in the normative standards, and review them through the collision of the block model of the urban design results. It is impossible to review most of the management and control points that require spatial calculation, so it cannot be applied to real planning and management work, and it is impossible to comprehensively display and assist urban design review work in the real three-dimensional space scene of the city.
- the purpose of the present invention is to provide a paperless intelligent interactive review method for urban design based on high-precision and complex calculation of urban three-dimensional space entities, which can extract all control points in statutory planning and normative standards, through intelligent code and The intelligent fitting of the 3D digital sand table conducts an intelligent interactive review covering all the points of the urban design results, and realizes the paperless generation of the review results and the all-round display in the real 3D space scene.
- the paperless intelligent interactive review method for urban design based on the entity model of the present invention includes:
- Step 1 Basic data integration and digital sand table construction
- Step 1.1 Multi-source spatial big data acquisition, which is used to obtain the surveying and mapping terrain data, vector building form data, and road data in the built-up area of the target city, and collect and store the data in the built-up area of the target city through a drone equipped with a surveying and mapping camera.
- the mapping camera has 120 million pixels or more, CMOS is 5, focal length is 35mm, and storage capacity is more than 320GB;
- Step 1.2 Unified coupling of coordinates and elevations of multi-source spatial big data, which is used to unify coordinates and data formats of spatial big data by using format integration technology, dimension integration technology, and coordinate transformation technology, and input them into the geographic information system platform;
- Step 1.3 Current 3D model generation and digital sand table construction, using computer equipment and data engines with 2*8 core processors, 32G memory, and 300G network disk space to analyze the 3D terrain data and vector architectural shapes input into the geographic information system platform. Data and road data are modeled to generate a 3D model of the current urban situation, and spatially superimposed with the oblique photography data to form a digital sand table for comprehensive current environment display and computable vector 3D model;
- Step 2 Digital database construction of urban design review
- Step 2.1 The digitization of the standard normative clauses is used to obtain the urban planning standard normative data of the target city location, extract the word or pdf files of the standard normative clauses that require urban design, and analyze the standard normative clauses for each of them through text semantic analysis.
- the main points of the plots are summarized and semantically segmented, and semantic retrieval is carried out through keywords, and the main points are disassembled into "constraint class", "point type”, “point description”, “parameter column”, and are combined with the plot.
- the unit name or number is associated to generate the digitized key points of the standard and normative clauses of the associated plot; wherein, the standard and normative clauses include the national standards and norms covered by urban planning and design and the standards and norms promulgated and implemented by local governments, including land parcels. Requirements for specific indicators of interior sunshine spacing and building setback;
- the digitized points of the standard and normative clauses of the associated plots are composed of a fixed excel format, and each plot contains a plurality of digitized points of standard and normative clauses, and these points pass the rules.
- the code is converted into a code language and stored in the digital key code base;
- the "constraint class” is a rule model constructed for various key points, such as the element attribute constraint class, the self-defined model constraint class, and the spatial measurement constraint class;
- the "point type” is Types of key points such as sunshine spacing and building setback mentioned in the standard specification;
- Key point description is to automatically retrieve the numbers appearing in the points through the computer, with a period as the boundary of semantic segmentation, and translate the paragraph where the number is located into a computer that can recognize
- the “parameter column” sets a buffer according to the road where the plot is located, and the width of the buffer is consistent with the width of the road. The intelligent review involving this digital point is all carried out in the buffer.
- Step 2.2 The digitization of statutory planning provisions is used to obtain the urban planning statutory planning data of the target city location, extract the word or pdf files of the statutory planning provisions that require urban design, and generate the associated plots in the same way as in step 2.1.
- the statutory planning provisions include national statutory planning provisions covered by urban planning and design and statutory planning provisions promulgated and implemented by local governments, including general planning, detailed planning, urban system planning, and regional planning.
- Type of statutory planning which includes requirements for development intensity, number of facilities, and specific indicators of facility scale;
- Step 2.3 Code the digital key points and build a database, which is used to translate all the digital key points after checking and screening into computer code language, and use NoSQL technology and MongoDB technology to build a database to generate a digital key point database for urban design review, and pass 2.
- Step 2.4 The digital point library is integrated with the digital sand table, which is used to automatically match the digital point library containing the name or number of the associated plot unit in the above step 2.4 with the plot unit model in the digital sand table, and perform spatial geographic coordinates and projection. Coordinate alignment, wherein the plot unit model in the digital sand table contains the same name or number information;
- Step 3 Data input and identification of urban design results
- Step 3.1 Digital translation of construction reporting standards, which is used to extract the types of drawings and drawing standards, including areas, lines, point sets, characters and names, codes, through the "Technical Specifications for Planning and Construction Reports" where the target city is located. , layer, category, parameter, entity information;
- Step 3.2 The digitization of urban design results is used to standardize the data of urban design results according to the construction reporting standards, including information extraction from paper documents, unification of drawings and parameters from electronic documents;
- Step 3.3 The automatic classification and extraction of urban design results is used for the classification and extraction of digitized urban design achievement data, wherein the urban design achievement data includes model vector data and basic attribute data;
- Step 3.4 Automatic fitting of urban design results and spatial sand table, which is used for spatial fitting of the urban design result data extracted by classification and the urban digital sand table;
- the automatic merging of the results in step 3.4 and the spatial sand table refers to the classification and extraction of urban design results data based on a common spatial coordinate system and elevation standards, that is, two and three-dimensional vector morphological models and non-morphological attribute data, and digital Accurate coordinate placement and attribute connection are carried out on the plot units of the sand table;
- the 2D and 3D vector morphological models include the CAD 2D model, the GIS 2D model, the SU 3D model and the attribute table parameters attached to the model;
- the non-morphological attribute data includes Excel Other parameters indicated in;
- Step 3.5 The current 3D model calibration of the surrounding environment of the urban design results is used for on-the-spot survey of the urban design plot extending one block out by using a 3D scanner.
- the parameters of the measuring equipment are required to be within the visible range of the ranging unit. 500,000 dots/sec at 614m, 1,000,000 dots/sec at 307m, 2,000,000 dots/sec at 153m; 165 megapixels and above are required in the color unit; 300° vertical/360° horizontal field of view is required for the rotation unit Range; laser level is 1 laser; ranging error is 1m;
- Step 4 Intelligent review of urban design results and label generation
- Step 4.1 The intelligent review of urban design results is used to calculate the attributes of the 2D and 3D model data in the mosaic urban design results, and connect all attribute data to the unit plots, including basic morphological data and topological relationship data; further
- the digital key code of the plot unit corresponding to the urban design results in the digital sand table is retrieved, that is, the code language of the judgment standard.
- the intelligent rule engine the digital key code and the urban design result data embedded in the digital sand table are matched and reviewed. Whether the model attribute and non-morphological attribute data of each unit plot and the single model attribute meet all the judgment criteria;
- Step 4.2 Automatic classification of review results and automatic generation of labels, which are used to automatically classify the intelligent review results of digital key codes of standard specifications and statutory planning, and generate review result labels for each reviewed plot unit and model unit, among which , the label includes "pass", "fail” and the source of the judgment criteria, that is, the standard normative rule and the statutory planning rule, and the original graphic document of the rule is remarked after each review result;
- Step 4.3 The holographic three-dimensional interactive display of the review results is used to comprehensively display the urban design results with the review result label and the three-dimensional model of the surrounding status in the digital sand table through the holographic sand table including the holographic computing system, the holographic development system, and the motion capture system. Stereoscopic display, and export video recording;
- Step 5 Generating a report on the review results and interactive feedback
- Step 5.1 The review result report is generated, which is used to output the review result in the step 4.2 as the review result report through the freemaker engine, and store the video recording in the step 4.3 in the 2*8 core, 32G server, and generate the review result QR code;
- Step 5.2 Interactive feedback of the review results, for if there is “fail” in the review result label in step 4.2, the QR code of the review result will be fed back to the result design unit, and the urban design results will be modified according to the review result report, and repeated The method from step 3.2 to step 5.1, until all the review result labels in step 4.2 show "passed", then jump to step 6;
- Step 6 Automatic update of the digital sand table.
- the model vector data in the urban design results data will automatically become the current 3D model to realize the digital sand table. of automatic updates.
- the automatic update of the digital sand table in the step 6 is used to carry out the current oblique photography data and vector model data selected based on the location of the unit plot when all the labels in the block unit where the urban design result is located show “pass”. Delete and change the type attribute of the 2D and 3D vector data to the current model attribute in the urban design results based on spatial coordinates to achieve the automatic update of the digital sand table.
- Step 2.1 of the method of the present invention through digital analysis of planning points and text semantic methods, innovatively translates mass paper standard and normative clauses into computer-recognizable data formats and contents, which is a key technological breakthrough for realizing intelligent interactive review of urban design;
- step 3.5 of the method of the present invention aiming at the key industry technical problem that the error of conventional building data is greater than or equal to 5 meters, a three-dimensional scanner is used to perform high-precision calibration on the current three-dimensional model of the surrounding environment of the urban design result through specific parameter settings and angle rotation. , and integrates the three-dimensional point cloud model to adjust the model, and innovatively controls the error of the building data model within 0.5 meters, so as to meet the calculation and control requirements of various indicators in the digital key code library;
- step 4.1 of the method of the present invention the association and intelligent review calculation of basic morphological data, topological relationship data and digital key points are realized for the first time, and the intelligent judgment method of constructed model attributes, non-morphological attribute data, and model monomer attributes is realized for the first time.
- the intelligent paperless review mode of standard normative provisions and statutory planning provisions for urban design schemes is the core step of this patented technology;
- the effective information is screened for the data results of the existing planning, land, forestry and other 8 departments, and the digital translation is carried out to realize the integration and synthesis of the key information of effective planning and control;
- FIG. 1 is a flow chart of the paperless intelligent interactive review method for urban design based on the entity model of the present invention.
- the invention discloses a paperless intelligent interactive review method for urban design based on entity model. Unified coordinate and format conversion for urban multi-source spatial big data, data integration and superposition; then digital database construction for urban design review, through digital transformation of urban planning and design standard specifications and statutory planning provisions into code language, and The digital sand table is embedded to form a database of urban design review points; on this basis, the data input and identification of urban design results are carried out, and the urban design results are digitally converted and classified according to the construction reporting standards, and are embedded with the digital sand table.
- the 3D model of the surrounding current situation is calibrated; then this method is used to intelligently review and generate labels for the urban design results; and generate the results of the review report, and the design plan revises and adjusts the urban design results according to the report results for interactive feedback; The reviewed urban design results are updated to the digital sandbox.
- the data mainly includes surveying and mapping terrain data, vector building form data, road data and oblique photography data.
- terrain data, vector building form data that is, building form outline and height data
- road data are downloaded and obtained by using the network open source map platform, the file format is shp, and the urban buildings, land, Road and other related data are checked;
- oblique photographic data by using a drone equipped with a surveying and mapping camera with a pixel of 120 million and above, a CMOS of 5, a focal length of 35mm, and a storage capacity of 320GB or more, simultaneously from one vertical, four Collect urban spatial images from five different angles such as tilt; and store the collected multi-source spatial big data in a data server with a memory of more than 32G and a storage space of more than 5T.
- the architecture of the system is mainly based on the client/server (C/S) structure and the three-tier C/S architecture.
- the client uses the .NET Framework as the operating environment, and the backend uses the server cluster.
- the service-oriented architecture (SOA) is used between the client and the back-end, as well as between the back-end servers, mainly through dubbo+zookeeper to ensure the high availability of interface services.
- SOA service-oriented architecture
- the current 3D model is generated from the acquired terrain, building and road vector data, and loaded into the system together with the oblique photography data set.
- the oblique photography and the current 3D model vector surface are Fit to form a digital sand table that comprehensively displays the current environment and can calculate the vector 3D model.
- the specific content of the standard and normative provisions are the national standards and norms covered by urban planning and design and the standards and norms promulgated and implemented by local governments, among which the national-level standards and norms include the Urban and rural Planning Law of the People's Republic of China and supporting Administrative regulations, rules and normative documents, "Regulations on the Administration of Village and Market Town Planning and Construction", “Measures for the Compilation of Urban and rural Planning", “Measures for the Examination and Approval of Urban System Planning Compilation”, “Requirements for the Compilation of Planning for the Protection of Famous Historical and Cultural Cities", “Overall Urban Planning Review” Work Rules", “Urban Design Management Measures", etc.; local standards such as “Shenzhen Urban Design Standards and Guidelines", etc.
- the format of the standard specification file includes paper file, word file format and pdf file format.
- the digital method of statutory planning provisions through OCR technology, combined with text semantic analysis and manual checking, analyzes the relevant documents of statutory planning, extracts the requirements for urban planning and design results, and forms a digital A collection of points, including the name or number of the parcel unit, and the control category, control object element, topological element, topological relationship, control element, control requirement, control element attribute, control element attribute value, and control strength of each parcel unit.
- the required parameters corresponding to the types of provisions such as height control and floor area ratio contained in the statutory planning provisions; among them, the "Weihai City Regulatory Detailed Planning" plan stipulates that the Chg-29-27 plot unit in the Crown Area stipulates that the building height control is 35 meters.
- Article 52 of Chapter 8 of the "Technical Regulations on Urban Planning and Management of Weihai City” requires that the green space rate of new multi-storey residential buildings must be greater than or equal to 35%; while in the "Controlled Detailed Planning of Weihai City", the Lingang Area 38- 15.
- the plan of the plot unit stipulates that the green space ratio is prohibited to be less than 40%; the requirements of the local planning standards and regulations and the statutory planning provisions are combined, and the intersection of the two control points is selected, that is, the green space of this plot unit The rate must be greater than or equal to 40%.
- the engine mainly includes two modules: the rule configuration environment and the rule running environment: the rule configuration module, which creates a logical business object model (BOM), maps it to a customized specific domain vocabulary, and associates the BOM with the execution model and the XML schema. , and create rules, rule items, and configure corresponding parameters.
- the rule configuration module which creates a logical business object model (BOM), maps it to a customized specific domain vocabulary, and associates the BOM with the execution model and the XML schema. , and create rules, rule items, and configure corresponding parameters.
- BOM logical business object model
- the parcel unit model contains the same name or number information
- CAD drawing standards include drawing name, layer name, layer color, entity type, and line style
- GIS drawing standards include drawing name, layer Name, feature code, feature type, feature color, field name, parameter precision
- SU mapping standard includes image name, layer name. (Table 2)
- the plot units of the sand table are connected with precise coordinates and attributes.
- the 2D and 3D vector morphological models include the CAD 2D model, the GIS 2D and 3D model, the SU 3D model, and the attribute table parameters attached to the model itself.
- the 3D point cloud model is acquired in the form of point cloud stitching, and the acquired data is stored in a 32GB SDHC TM memory card.
- the current 3D model is calibrated according to the surrounding environment of the urban design results, and the placed model data is compared with the horizontal, vertical, and depth dimensions of the building blocks of the current 3D model, that is, the plane boundary of the comparison model and the Whether the height is consistent, if there is a deviation, delete the original existing 3D model and replace it with a new model.
- Attribute calculation of urban design results perform attribute calculation on the 2D and 3D model data in the mosaic urban design results, and connect all attribute data to the unit plot, including basic morphological data and topological relationship data. For example, unit plot ratio, green space ratio, maximum height, average height, building density, building setback, building spacing, building color, roof form, etc. (Table 4)
- the maximum height of the urban design result of the HG-02-03 plot unit is 60 meters, and the height of the unit’s management and control requirements is prohibited to be greater than 80 meters, then the attributes of the design result meet the management and control requirements; for example, the HG-03-01 plot unit city
- the plot ratio of the design result is 1.2, and the control requirement of this unit is that the plot ratio must be greater than or equal to 1.5, then the attribute of the design result does not meet the control requirements.
- the review result label is automatically generated, and each review result is marked on the corresponding plot unit and model unit in the form of a label, wherein the label includes "pass", "fail” and judgment
- the source of the standard is the standard normative point and the statutory planning point, and the original graphic document of the rules is noted after each review result.
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Abstract
Description
地块单元编号 | 容积率 | 绿地率 | 建筑密度 | 控高 |
ZF-34-05 | 2.0 | 50% | 18% | 80米 |
ZF-34-06 | 1.3 | 35% | 40% | 35米 |
ZF-34-07 | 1.5 | 40% | 22% | 50米 |
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Claims (6)
- 基于实体模型的城市设计无纸化智能交互审查方法,其特征在于,该方法包括:步骤一:基础数据集成与数字沙盘建构;步骤1.1:多源空间大数据获取,用于获取目标城市建成区域内的测绘地形数据、矢量建筑形态数据、道路数据,并通过搭载测绘相机的无人机来采集并存储目标城市建成区域内的三维倾斜摄影数据,所述测绘相机像素为1.2亿及以上、CMOS为5、焦距为35mm、存储容量在320GB以上;步骤1.2:多源空间大数据坐标、高程统一耦合,用于利用格式集成技术、量纲集成技术、坐标转换技术,对空间大数据进行坐标与数据格式统一并输入到地理信息***平台中;步骤1.3:现状三维模型生成与数字沙盘建构,利用2*8核处理器、32G内存、300G网盘空间的计算机设备及数据引擎,对输入到地理信息***平台中的三维地形数据、矢量建筑形态数据、道路数据进行建模,生成城市现状三维模型,并与倾斜摄影数据进行空间叠合,形成综合现状环境展示及可计算矢量三维模型的数字沙盘;步骤二:城市设计审查的数字化建库;步骤2.1:标准规范条文的数字化,用于获取目标城市所在地的城市规划标准规范数据,提取其中对城市设计提出要求的标准规范条文的word或pdf文件,通过文本语义解析将标准规范条文中对每一个地块的要点进行数据汇总和语义分段,并通过关键词来进行语义检索,将要点拆解为“约束类”、“要点类型”、“要点描述”、“参数栏”,并与地块单元名称或编号进行关联,生成关联地块的标准规范条文数字化要点;其中,所述标准规范条文包括城市规划与设计所涵盖的国家标准规范与地方政府所颁布实行的标准规范,包括对地块内日照间距、建筑退线具体指标的要求;步骤2.2:法定规划条文的数字化,用于获取目标城市所在地的城市规划法定规划数据,提取其中对城市设计提出要求的法定规划条文的word或pdf文件,按照与步骤2.1同样的方法生成关联地块的法定规划条文数字化要点;其中,所述法定规划条文包括城市规划与设计所涵盖的国家法定规划条文与地方政府所颁布实行的法定规划条文,包含总体规划、详细规划、城镇体系规划、区域规划的法定规划类型,其内容包括开发强度、设施数量、设施规模具体指标的要求;步骤2.3:数字化要点代码化并建库,用于将查重筛选后的所有数字化要点转译为计算机代码语言,采用NoSQL技术、MongoDB技术进行数据建库,生成城市设计审查的数字化要点库,并通过2*8核处理器、32G内存、300G网盘空间的计算机设备与Oracle 11G R2企业版数据库软件进行数据存储;步骤2.4:数字化要点库与数字化沙盘嵌合,用于将上述步骤2.4中包含关联地块单元名称或编号的数字化要点库与数字沙盘中的地块单元模型进行自动化匹配,并进行空间地理坐标和投影坐标对位,其中,所述数字沙盘中的地块单元模型包含同样的名称或编号信息;步骤三:城市设计成果数据输入与识别;步骤3.1:报建标准的数字化转译,用于通过目标城市所在地的《规划报建技术规范》,对其中的图件类型及制图标准进行提取,包括面域、线条、点集、字符及名称、编码、图层、类别、参数、实体信息;步骤3.2:城市设计成果的数字化,用于将城市设计成果数据按照报建标准进行标准化处理,包括纸质文件的信息提取、电子文件的图件、参数统一化;步骤3.3:城市设计成果的自动分类提取,用于对数字化之后的城市设计成果数据进行的分类提取,其中,所述城市设计成果数据包括模型矢量数据、基本属性数据;步骤3.4:城市设计成果与空间沙盘的自动嵌合,用于将分类提取的城市设计成果数据与城市数字沙盘进行空间嵌合;步骤3.5:城市设计成果周边环境的现状三维模型校准,用于过使用三维扫描仪对城市设计地块往外拓展一个街区的范围进行实地勘测,其中测量设备参数要求为测距单元的可视范围中,614米处最大50万点/秒、307米处100万点/秒、153米处200万点/秒;色彩单元中要求165兆像素及以上;旋转单元要求300°纵向/360°横向的视野范围;激光等级为1级激光;测距误差为1m;在稳定三维扫描环境后;根据三维扫描仪预先设置的扫描模式,计算出扫描设备相对于被扫描对象的位置,来校准三维扫描仪;通过设备对扫描物体的不同角度进行三维数据捕捉;进一步通过点云拼接形式获取三维点云模型,并将获取数据存储到32GB SDHC TM存储卡中;将获取的点云数据转换成skp格式文件,从而精准导入数字沙盘当中,与现状三维模型的建筑体块的水平、垂直、纵深三个维度进行对比,及对比模型的平面边界与高度是否一致,如果存在偏差则对原始的现状三维模型进行删除,并使用新的模型进行替换;步骤四:城市设计成果智能审查及标签生成;步骤4.1:城市设计成果的智能审查,用于将嵌合的城市设计成果中的二三维模型数据进行属性计算,并将所有属性数据连接到单元地块当中,包括基本形态数据与拓扑关系数据;进一步调取数字沙盘中城市设计成果对应地块单元的数字化要点代码,即判断标准的代码语言,通过智能规则引擎,将数字化要点代码与嵌入数字沙盘中的城市设计成果数据进行匹配与审查,计算每个单元地块的模型属性与非形态属性数据以及模型单体属性是否符合所有的 判断标准;步骤4.2:审查结果自动分类及标签自动生成,用于对标准规范与法定规划的数字化要点代码的智能审查结果进行自动分类,并对每一个审查的地块单元与模型单体生成审查结果标签,其中,所述标签包括“通过”、“不通过”以及判断标准来源,即标准规范型规则与法定规划型规则,并在每条审查结果后备注规则的原始图文文件;步骤4.3:审查结果的全息立体交互展示,用于通过包含全息运算***、全息显影***、动捕***的全息沙盘将带有审查结果标签的城市设计成果及周边现状三维模型在数字沙盘中进行全方位立体展示,并导出视频录像;步骤五:审查结果报告生成及交互反馈;步骤5.1:审查结果报告生成,用于通过freemaker引擎将所述步骤4.2中的审查结果输出为审查结果报告,连同所述步骤4.3中的视频录像存储到2*8核、32G服务器中,并生成审查结果二维码;步骤5.2:审查结果交互反馈,用于如所述步骤4.2中的审查结果标签中存在“不通过”,则将审查结果二维码反馈给成果设计单位,根据审查结果报告修改城市设计成果,并重复所述步骤3.2至步骤5.1的方法,直至所述步骤4.2中的审查结果标签全部显示“通过”,则跳转至步骤六;步骤六:数字沙盘的自动更新,用于当城市设计成果所在地块单元内的所有标签均显示“通过”时,城市设计成果数据中的模型矢量数据会自动变成现状三维模型,来实现数字沙盘的自动更新。
- 根据权利要求1所述的基于实体模型的城市设计无纸化智能交互审查方法,其特征在于,所述步骤2.1标准规范条文的数字化,其中关联地块的标准规范条文数字化要点,由固定的excel格式构成,每一个地块内包含多个标准规范条文数字化要点,且这些要点通过规则代码转换成代码语言并存储进数字化要点代码库。
- 根据权利要求1所述的基于实体模型的城市设计无纸化智能交互审查方法,其特征在于,所述步骤2.1标准规范条文的数字化,其中将数字所在段落转译为计算机可以识别的固定语言格式,根据语言格式,通过有监督机器学习训练计算机,将要点描述的文字拆解为“要点目的+要点位置+要点对象+测算方法+具体数值”。
- 根据权利要求1所述的基于实体模型的城市设计无纸化智能交互审查方法,其特征在于,所述步骤2.1标准规范条文的数字化,所述“约束类”是针对各类要点构建的规则模型,要素属性约束类、自定义模型约束类、空间度量约束类;“要点类型”即标准规范条文 中提及的日照间距、建筑退线等要点类型;“要点描述”是通过计算机自动检索要点中出现的数字,以句号为语义分段的边界,将数字所在段落转译为计算机可以识别的固定语言格式;“参数栏”根据地块所在道路设置缓冲区,缓冲区宽度与道路宽度一致,涉及该条数字化要点的智能审查均在缓冲区内进行。
- 根据权利要求1所述的基于实体模型的城市设计无纸化智能交互审查方法,其特征在于,所述步骤3.4成果与空间沙盘的自动嵌合,指基于共同的空间坐标系与高程标准,将城市设计成果数据分类提取成果,即二三维矢量形态模型与非形态属性数据,与数字沙盘的地块单元进行精准坐标落位与属性连接;其中二三维矢量形态模型包括成果CAD二维模型、GIS二维模型以及SU三维模型以及模型所附带的属性表参数;非形态属性数据包括Excel中注明的其他参数.
- 根据权利要求1所述的基于实体模型的城市设计无纸化智能交互审查方法,其特征在于,所述步骤六数字沙盘的自动更新,用于当城市设计成果所在地块单元内的所有标签均显示“通过”时,将基于单元地块位置选取的现状倾斜摄影数据以及矢量模型数据进行删除,并将基于空间坐标进行精准落位的城市设计成果中,二三维矢量数据的类型属性改为现状模型属性,来实现数字沙盘的自动更新。
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