CN112579845B - Industrial big data display geographic information system platform - Google Patents
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- CN112579845B CN112579845B CN202011592771.6A CN202011592771A CN112579845B CN 112579845 B CN112579845 B CN 112579845B CN 202011592771 A CN202011592771 A CN 202011592771A CN 112579845 B CN112579845 B CN 112579845B
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Abstract
The invention discloses a system platform for displaying industrial big data and geographic information, which comprises an industrial big data module, a GIS module, a data analysis module and a GIS platform. The industrial big data module is used for collecting industrial data and processing the industrial data, and the collected data comprises business data, manufacturing process data and external data related to enterprise operation management. The GIS module is used for collecting geographic information data to establish a three-dimensional map base map and importing industrial big data to generate a multi-dimensional dynamic distribution map. And the data analysis module is used for analyzing, classifying, evaluating and mining the industrial big data and displaying the result at the terminal. And the GIS platform is used for managing user information and a database and providing data service. The method is based on the ultrahigh resolution GIS map, multi-level and multi-dimensional dynamic display of industrial big data is carried out on the map, the data are analyzed and mined, and real-time control over industrial activities is realized.
Description
Technical Field
The invention relates to the technical field of industrial big data, in particular to a system platform for displaying geographic information of industrial big data.
Background
The industrial big data refers to a general name of various data and related technologies and applications generated in all links of a whole product life cycle from customer requirements to sales, orders, planning, research and development, design, processes, manufacturing, purchasing, supplying, warehousing, delivery and delivery, after-sales, service, operation and maintenance, scrapping or recycling and remanufacturing and the like around a typical intelligent manufacturing mode in the industrial field, and the industrial big data takes product data as a core, greatly extends the traditional industrial data range, and also comprises the related technologies and applications of the industrial big data. The industrial big data is a basic raw material for realizing intelligent manufacturing and is a key element for improving industrial productivity, competitiveness and innovation.
As the type and quantity of industrial big data has increased explosively, the analysis and visual display of industrial data has faced a great challenge. How to realize the display of industrial big data and the organic combination of the prior art is a difficult problem to be solved in the technical field of big data.
Disclosure of Invention
The invention provides a system platform for displaying industrial big data and geographic information, which comprises:
an industrial big data module: the system comprises a coordinate system, a data acquisition and processing system and a data processing system, wherein the coordinate system is used for acquiring and processing coordinated industrial big data, and the industrial big data comprises business data, manufacturing process data and external data related to enterprise operation management;
and a GIS module: the map is used for acquiring geographic information, establishing a three-dimensional map base map, importing industrial big data into the three-dimensional map base map, establishing dynamic distribution maps of various types of industrial information, and optimizing the maps to meet the requirement of ultrahigh resolution;
a data analysis module: the data analysis module is used for analyzing and processing data, acquiring valuable derivative data based on a data mining technology, and comprehensively analyzing the running state of the equipment through a genetic algorithm and a decision algorithm for equipment optimization to give an optimal solution of equipment faults;
a GIS platform: the database and the user information are convenient for the administrator to manage; the map service system is used for providing basic map service for users; the method is used for visually displaying the analyzed and mined data information in the form of texts and charts.
Preferably, the industrial big data module further comprises a data acquisition module and a data processing module; the data acquisition module acquires required data from the data center system, and the required data types comprise structured data, semi-structured data and non-semi-structured data, and have the characteristics of data dispersion, strong data correlation, vivid data dynamic time-space characteristics and the like; the data acquired by the data acquisition module also comprises real-time industrial equipment state data of the sensor; the data processing module is characterized in that the type and the source of the data are identified, the data are normalized to eliminate data difference, a data set is generated, and subsequent modeling is facilitated.
Preferably, the GIS module comprises a GIS data acquisition module and a GIS data processing module; the GIS data acquisition module comprises a remote sensing data module, a paper map data module, a field measurement and GPS data module and a video monitoring data module; the remote sensing data module: obtaining a remote sensing image based on the aerial photo and the satellite image so as to obtain remote sensing data; a field measurement and GPS data module: accurately measuring plane position data and elevation data of each point of a geographic entity or the ground based on a field test, field measurement and a GPS system; the paper map data module: based on the paper map, map data are acquired through tracking digitization and scanning digitization of the paper map; video monitoring data module: the monitoring device is used for acquiring real-time road condition information and corresponding positions and is based on a shooting place as a coordinate center, and the module is connected with the GIS data processing module through radio;
the GIS data processing module comprises a spatial data conversion module, a GIS map generation module and a GIS map optimization module; the spatial data conversion is to perform projection conversion on the format, the coordinate and the structure of multi-source spatial data under the same spatial coordinate, so that errors caused by different geographic reference systems based on the spatial data are avoided, meanwhile, the numerical value of an unknown point is more accurate by adopting a spatial data interpolation method, and is preferable, most GIS software adopts a forward solution transformation method to realize the conversion among different projections, and the conversion of the spatial data structure is characterized in that a grid data structure is converted into a vector data structure, so that the description of the geometric precision and the topological characteristic of an entity space is favorably ensured; a GIS map generation module: the system is used for importing GIS data into 3D modeling software to construct a three-dimensional space model, generating a three-dimensional map base map, importing industrial big data into the three-dimensional space model, and establishing a dynamic distribution map of the industrial big data; GIS map optimization module: the method is used for optimizing a map model, meets the requirement of an ultrahigh-resolution map, changes the transmission format of map data based on the application of high pixels of the splicing wall, and can effectively reduce the loss of the pixels.
Preferably, the data analysis module comprises a data analysis unit and a data mining unit;
a data analysis unit: the system is used for establishing a prediction model for different types of industrial equipment and determining a model range parameter according to normal operating condition data of the different types of equipment; carrying out data analysis on the acquired real-time industrial equipment data based on the model so as to judge whether the equipment is abnormal in operation or not and predict by combining the model range parameters;
a data mining unit: the method is used for establishing a training set by taking data reflecting the historical operation state of the enterprise as samples, obtaining a prediction result by training a large amount of mass data, and laying a foundation for the prediction of the operation and economic market trend of the enterprise.
Preferably, the GIS platform comprises a data management module, a map service module and an industrial information module;
the data management module comprises a user management module and a database management module, and a system administrator can log in a cloud server to control the user information so as to update and backup the database;
the map service module comprises a directory module, a map module and a ground surface covering module, a user can perform map operation through functions of smooth zooming, automatic roaming, quick browsing, positioning and the like, the map module also meets the requirement that the user inputs a coordinated spatial position at a terminal so as to read video monitoring information of a specified place, because a graphic database is stored in a layered mode, the user can select different layers to display or superpose according to requirements and can also inquire information and data types of the specified layers, when printing equipment is connected, the platform also provides a graphic output function, the ground surface covering module provides ground surface covering service, the ground surface greening rate, the green space covering rate and the industrial area proportion in a specified range are automatically calculated through the data analysis module, and the calculation result is subjected to grading processing;
the industrial information module comprises an information query module, an information push module and an intelligent early warning module, the information query module can flexibly query and retrieve enterprise information, industrial market economy and equipment running conditions according to user requirements, search results can be displayed in a text, diagram and image mode, the intelligent early warning module has very visual and three-dimensional effects, the information push module pushes industry special subject information to users based on data analysis and mining results, such as economic flow direction of an energy market, development trend of the energy industry and general law of the energy market, an investment combination with minimum investment, minimum risk and best benefit is given, a comprehensive solution of the energy market problem is formed, the intelligent detection early warning module analyzes and predicts real-time running state of equipment based on a data analysis unit, and the intelligent detection early warning module is helpful for users to know information of the whole production process and make prejudgment on faults of production equipment and take measures.
Preferably, the industrial big data display GIS platform further comprises;
a storage module: the data storage module is used for storing data information generated by each module;
a display module: the method is used for displaying the distribution of multi-level and multi-dimensional data information in the electronic map and displaying the data information at the terminal.
The invention has the beneficial effects that:
1. the industrial big data and the GIS map are fused, so that the multi-level and multi-dimensional display effect of the industrial big data is more visual. The method is convenient for users to carry out preliminary analysis on the industrial condition based on the geographic position, and the dynamic trend of the industry is manually analyzed according to the dynamic change of the data.
2. And calculating, analyzing, mining and evaluating the obtained industrial big data based on a big data analysis technology. Based on a data mining technology, potential rules and values of data are mined from a large amount of data through methods such as machine learning and deep learning, maintenance and effective prevention and control of industrial equipment are facilitated, market and wind direction of industrial economy are facilitated to be mastered, full utilization of the data is facilitated, and data utilization efficiency is greatly improved.
Drawings
FIG. 1 is a block diagram of an industrial big data display geographic information system platform according to the present invention;
FIG. 2 is a flow chart of an industrial big data display GIS platform;
fig. 3 is a block diagram of a GIS platform.
Detailed Description
For a fuller understanding of the objects, aspects and advantages of the present invention, reference should be made to the following detailed description taken together with the accompanying figures and detailed description of the preferred embodiments of the invention.
In order to solve the problems, the invention adopts the following technical scheme: the invention provides an industrial big data display GIS map, which comprises:
an industrial big data module: the method is used for acquiring and processing the coordinated industrial big data. The industrial big data comprises business data, manufacturing process data and external data related to enterprise operation management.
Furthermore, the industrial big data module also comprises a data acquisition module and a data processing module.
And a GIS module: the map is used for acquiring geographic information, establishing a three-dimensional map base map, importing industrial big data into the three-dimensional map base map, establishing a dynamic distribution map of each industrial information, and optimizing the map to meet the requirement of ultrahigh resolution;
furthermore, the GIS module also comprises a GIS data acquisition module and a GIS data processing module. The GIS data processing module comprises a spatial data conversion module, a GIS map generation module and a GIS map optimization module.
A data analysis module: calculating, analyzing and mining the obtained industrial big data based on a big data analysis technology; performing correlation analysis and establishing an equipment state prediction model based on the spatial position information, and performing risk judgment on the real-time running state of the equipment; analyzing the operation condition of each enterprise based on data association, and performing classification processing; and evaluating the operation condition of the enterprise based on the classification. The method comprises the steps of detecting enterprises with abnormal operation and poor operation, warning the enterprises, and displaying the enterprises with good operation and high economic benefit through a terminal; based on data mining, hidden information in the data is extracted, and the secondary value of the information is mined.
A GIS platform: for managing data information; to provide basic map services; the method is used for visually displaying the analyzed and mined data information in the form of texts and diagrams. The user can interactively access the data deployed in the storage module, and the operations such as information browsing, input query and the like are performed through a terminal interface.
Storage module and show module: the electronic map display module is used for storing data information generated by each module and displaying the generated electronic map.
As most unstructured type data in the industrial data exist, the advantages of Hadoop open sources can be fully utilized, and the storage and calculation of unstructured data are met.
Fig. 1 shows that the present invention includes an industrial big data module, a GIS module, a data processing module, and a GIS platform. The method comprises the following steps:
step S01: and constructing a data set of the industrial big data. The desired data is obtained from the data center system, and the data types include structured data, semi-structured data, and non-semi-structured data. The type and the source of the data are identified, normalization processing is carried out on the data to eliminate data difference, a data set is generated, and subsequent modeling is facilitated.
Step S02: and collecting and processing the GIS data. Remote sensing data, map data, field measurements and GPS positioning data are collected. The format, the coordinate and the structure of multi-source spatial data are subjected to projection conversion under the same spatial coordinate, so that errors caused by different geographic reference systems based on the spatial data are avoided, and meanwhile, the numerical values of other points are more accurate by adopting a spatial data interpolation method. The GIS uses forward solution transformation to achieve the conversion between different projections. The conversion of the spatial data format is characterized in that a raster data structure is converted into a vector data structure, which is beneficial to ensuring the description of the geometric precision and the topological characteristic of the entity space.
Step S03: and importing the industrial big data into the base map of the three-dimensional map, and optimizing. And importing the GIS data into 3D modeling software to construct a three-dimensional space model, generating a three-dimensional map base map, importing the industrial big data into the three-dimensional space model, and establishing a dynamic distribution map of the industrial big data. In order to optimize a map model and meet the requirement of an ultrahigh-resolution map, the invention changes the transmission format of map data based on the application of high pixels of a splicing wall, and can effectively reduce the loss of pixels.
And S04, analyzing the data. Analyzing, mining and evaluating the obtained industrial big data based on a big data analysis technology; performing correlation analysis and establishing an equipment state prediction model based on the spatial position information, and performing risk judgment on the real-time running state of the equipment; analyzing the operation condition of each enterprise based on data association, and performing classification processing; and evaluating the equipment and enterprise operation conditions based on the classification. Detecting and warning abnormal equipment and enterprises, and displaying the equipment and the enterprises which have good operation and high economic benefit through a terminal; based on data mining, hidden information in the data is extracted, and the secondary value of the information is mined. In order to meet the requirements for obtaining certain specific indexes, a data calculation module is arranged before data analysis, such as the indexes of greening rate, green space coverage rate and the like are obtained through formulas.
Step S05: and constructing a GIS platform. And constructing a GIS platform, and reading and managing data in an interactive mode by a user based on display equipment. FIG. 3 is a block diagram of a GIS platform including a data management module, a map service module and an industrial information module. The data management module comprises a user management module and a database management module. A system administrator can log in a cloud server to manage and monitor user information, and update and backup of a database are achieved; the map service module comprises a catalog module, a map module and a surface covering module. The user can perform map operation through functions of smooth zooming, automatic roaming, quick browsing, positioning and the like. The map module also meets the requirement that a user inputs a coordinated spatial position at the terminal so as to read the video monitoring information of a specified place. Because the graphic database is stored in a layered mode, a user can select different layers to display or superpose according to requirements, and can also inquire information and data types of specified layers. The earth surface covering module provides earth surface covering services, automatically calculates earth surface greening rate, green land coverage rate and industrial area proportion in a specified range through the data analysis module, and grades indexes of the earth surface greening rate, the green land coverage rate and the industrial area proportion according to preset standards.
The industrial information module comprises an information query module, an information push module and an intelligent early warning module. The information query module can flexibly query and retrieve enterprise information, industrial market economy and equipment running conditions according to user requirements, search results can be displayed in a text, diagram and image mode, and the information query module has very visual and three-dimensional effects. The information pushing module pushes industry special subject information to the user based on the results of data analysis and mining, such as the economic flow direction of an energy market, the development trend of the energy industry and the general law of the energy market, and provides an investment combination with the least investment, the least risk and the best benefit to form a comprehensive solution of the energy market problem. The intelligent detection early warning module analyzes and predicts the real-time running state of the equipment based on the data analysis unit, and is helpful for users to know the information of the whole production process, make a prejudgment on the fault of the production equipment and take measures.
Claims (7)
1. An industrial big data display geographic information system platform, comprising:
an industrial big data module: the system comprises a coordinate system, a data processing system and a data processing system, wherein the coordinate system is used for acquiring and processing coordinate industrial big data, and the industrial big data comprises business data, manufacturing process data and enterprise external data related to enterprise operation management; comprises a data acquisition module and a data processing module; the data acquisition template acquires required data from a data center system, wherein the required data types comprise structured data, semi-structured data and non-semi-structured data; the data acquired by the data acquisition module also comprises real-time industrial equipment state data of the sensor; the data processing module is used for identifying the type and source of the data, carrying out normalization processing on the data to eliminate data difference and generate a data set, so that subsequent modeling is facilitated;
and a GIS module: the map is used for acquiring geographic information, establishing a three-dimensional map base map, importing industrial big data into the three-dimensional map base map, establishing dynamic distribution maps of various types of industrial information, and optimizing the maps to meet the requirement of ultrahigh resolution; the GIS data acquisition module and the GIS data processing module are included; the GIS data acquisition module comprises a remote sensing data module, a paper map data module, a field measurement and GPS data module and a video monitoring data module, acquires remote sensing data obtained based on aerial photos and satellite images, scans digitalized map data based on paper map tracking, and acquires plane position data and elevation data based on field tests, field measurements and a GPS system, real-time road condition information and corresponding positions based on video monitoring fixed-point shooting, and is connected with the GIS data processing module through radio; the GIS data processing module comprises a spatial data conversion module, a GIS map generation module and a GIS map optimization module; the spatial data conversion module performs projection conversion on the format, the coordinate and the structure of multi-source spatial data under the same spatial coordinate, so that errors caused by different geographical reference systems based on the spatial data are avoided, meanwhile, a spatial data interpolation method is adopted to enable the numerical value of an unknown point to be more accurate, GIS software adopts a forward solution transformation method to realize the conversion among different projections, a grid data structure is converted into a vector data structure, the description of the geometric precision and the topological characteristic of an entity space is favorably ensured, the GIS map generation module imports the GIS data into 3D modeling software to construct a three-dimensional spatial model, a three-dimensional map base map is generated, industrial big data are imported into the three-dimensional spatial model, and a dynamic distribution map of the industrial big data is established; the GIS map optimization module optimizes a map model to meet the requirement of an ultrahigh-resolution map, and based on the application of high pixels of a splicing wall, a color gradation tool is adopted to carry out smooth processing on splicing chromatic aberration and brightness difference, so that the transmission format of map data is changed, and the loss of pixels can be effectively reduced;
a data analysis module: the data analysis module is used for analyzing and processing data, acquiring valuable derivative data based on a data mining technology, and comprehensively analyzing the running state of the equipment through a genetic algorithm and a decision algorithm for equipment optimization to give an optimal solution of equipment faults; the system comprises a data analysis unit and a data mining unit; the data analysis unit establishes prediction models for different types of industrial equipment, determines model range parameters according to normal operation state data of the different types of equipment, and performs data analysis on the acquired real-time industrial equipment data based on the models, so as to judge whether the equipment is abnormal in operation and predict by combining the model range parameters; the data mining unit takes data reflecting historical operation states of enterprises as samples, establishes a training set and obtains a prediction result through massive training of massive data;
a GIS platform: the database and the user information are convenient for the administrator to manage; the map service system is used for providing basic map service for users; the method is used for visually displaying the analyzed and mined data information in the form of texts and charts.
2. The industrial big data presentation geographic information system platform according to claim 1, wherein:
the GIS platform comprises a data management module, a map service module and an industrial information module.
3. The industrial big data presentation geographic information system platform according to claim 2, wherein:
the data management module comprises a user management module and a database management module, and a system administrator logs in the cloud server to manage and control the user information so as to update and backup the database.
4. The industrial big data presentation geographic information system platform according to claim 2, wherein:
the map service module comprises a directory module, a map module and a ground surface covering module, a user carries out map operation through smooth zooming, automatic roaming, quick browsing and positioning functions, the map module also meets the requirement that the user inputs a coordinated space position at a terminal so as to read video monitoring information of an appointed place, because the graphic database is stored in a layered mode, the user can select different layers to display or overlap according to requirements and also can inquire the information and the data type of the appointed layer, when the map service module is connected with printing equipment, the platform also provides a graphic output function, the ground surface covering module provides ground surface covering service, the ground surface greening rate, the green space covering rate and the industrial area proportion in an appointed range are automatically calculated through the data analysis module, and the calculated result is processed in a grading mode.
5. The industrial big data presentation geographic information system platform according to claim 2, wherein:
the industrial information module comprises an information query module, an information push module and an intelligent early warning module;
the information query module flexibly queries and retrieves enterprise information, industrial market economy and equipment running conditions according to user requirements, and search results are displayed in a text, diagram and image mode;
the information pushing module pushes industry thematic information to a user based on results of data analysis and mining;
the intelligent detection early warning module analyzes and predicts the real-time running state of the equipment based on the data analysis unit, and is helpful for users to know the information of the whole production process, make a prejudgment on the fault of the production equipment and take measures.
6. The industrial big data presentation geographic information system platform according to claim 1, wherein the GIS platform further comprises;
a storage module: the data storage module is used for storing data information generated by each module;
a display module: the method is used for displaying the distribution of multi-level and multi-dimensional data information in the electronic map and displaying the data information at the terminal.
7. An industrial big data presentation geographic information processing method referring to the industrial big data presentation geographic information system platform of claim 1, characterized by comprising the steps of:
step S01: the method comprises the steps of constructing a data set of industrial big data, obtaining required data from a data center system, identifying the type and source of the data, carrying out normalization processing on the data to eliminate data difference and generate the data set, and facilitating subsequent modeling;
step S02: collecting and processing GIS data, collecting remote sensing data, map data, field measurement and GPS positioning data, and performing projection conversion on the format, coordinates and structure of multi-source spatial data under the same spatial coordinate, so as to avoid errors caused by different geographic reference systems based on the spatial data, and meanwhile, the numerical values of other points are more accurate by adopting a spatial data interpolation method;
step S03: importing the industrial big data into a three-dimensional map base map, optimizing, importing the GIS data into 3D modeling software to construct a three-dimensional space model, generating the three-dimensional map base map, importing the industrial big data into the three-dimensional space model, and establishing a dynamic distribution map of the industrial big data;
step S04: performing data analysis, and analyzing, mining and evaluating the obtained industrial big data based on a big data analysis technology; performing correlation analysis and an established equipment state prediction model based on the spatial position information, and performing risk judgment on the real-time running state of the equipment; analyzing the operation condition of each enterprise based on data association, and performing classification processing; based on the classification, evaluating the operation conditions of the equipment and the enterprise; detecting and warning abnormal equipment and enterprises, and displaying the equipment and the enterprises which have good operation and high economic benefit through a terminal; based on data mining, extracting hidden information in the data, and mining the secondary value of the information;
step S05: and constructing a GIS platform, and reading and managing data by a user in an interactive mode based on display equipment.
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| CN114281911B (en) * | 2021-12-10 | 2022-10-25 | 北芯导航技术(南京)有限公司 | Information exchange platform for geographic information and big data |
| CN114063995A (en) * | 2022-01-17 | 2022-02-18 | 深圳市图元科技有限公司 | Development engine system and method based on managed pipe city visualization |
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Family Cites Families (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7873224B2 (en) * | 2006-03-01 | 2011-01-18 | Qualcomm Incorporated | Enhanced image/video quality through artifact evaluation |
| JP4862897B2 (en) * | 2007-02-02 | 2012-01-25 | 株式会社ニコン | Image processing method |
| CN101178715A (en) * | 2007-10-24 | 2008-05-14 | 广东威创视讯科技股份有限公司 | Method for combining GIS system with split joint wall system and device thereof |
| CN101944204B (en) * | 2010-09-10 | 2013-07-31 | 北京恒华伟业科技股份有限公司 | Geographic information system applied to power system |
| CN105975465A (en) * | 2015-10-19 | 2016-09-28 | 霍亮 | Method for monitoring traditional Chinese medicine resources based on geographic national conditions |
| CN105871605A (en) * | 2016-03-30 | 2016-08-17 | 国网江西省电力科学研究院 | Operation and maintenance monitoring platform based on big power marketing data |
| CA3072045A1 (en) * | 2017-08-02 | 2019-02-07 | Strong Force Iot Portfolio 2016, Llc | Methods and systems for detection in an industrial internet of things data collection environment with large data sets |
| CN108287533A (en) * | 2018-02-08 | 2018-07-17 | 武汉智丽丰信息科技有限公司 | A kind of industrial manufaturing data acquisition system based on the displaying of VR panoramas |
| CN108960566B (en) * | 2018-05-29 | 2022-11-25 | 高新兴科技集团股份有限公司 | Traffic visual monitoring system |
| CN109408548A (en) * | 2018-09-19 | 2019-03-01 | 中国电力科学研究院有限公司 | A kind of urban electric power big data application system and method |
| CN109634233A (en) * | 2018-12-06 | 2019-04-16 | 南京邮电大学 | Industrial big data intellectual analysis decision-making technique, readable storage medium storing program for executing and terminal |
| CN111125061A (en) * | 2019-12-18 | 2020-05-08 | 甘肃省卫生健康统计信息中心(西北人口信息中心) | Method for standardizing and promoting health medical big data |
| CN111753034A (en) * | 2020-05-20 | 2020-10-09 | 广东省国土资源测绘院 | One-stop type geographical big data platform |
| CN111857633A (en) * | 2020-07-30 | 2020-10-30 | 京东方科技集团股份有限公司 | Display unit and spliced screen |
-
2020
- 2020-12-29 CN CN202011592771.6A patent/CN112579845B/en active Active
Non-Patent Citations (2)
| Title |
|---|
| 任磊 等.大数据可视分析综述.《软件学报》.2014,第25卷(第25期),1909-1936. * |
| 张宏鑫 等.室内平面图分块矢量化与高效三维建筑建模.《计算机科学与探索》.2012,第7卷(第7期),63-73. * |
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