CN117523128A - Three-dimensional modeling method and system for realizing city information based on big data - Google Patents
Three-dimensional modeling method and system for realizing city information based on big data Download PDFInfo
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Abstract
The invention belongs to the technical field of mining, collecting and analyzing big data in urban space, in particular to a three-dimensional modeling method and a system for realizing urban information based on big data, wherein the three-dimensional modeling method comprises a data collecting module, a data processing module, a three-dimensional modeling algorithm module, a visualization module, a security and privacy module and a system management module; the method integrates a plurality of modules, realizes the comprehensive integration of urban data, including geographic, building, traffic flow and population data, through the synergistic effect of the data acquisition module and the data processing module, improves the accuracy and the comprehensiveness of the urban information database, and enhances the intelligent level of urban planning and management.
Description
Technical Field
The invention belongs to the technical field of mining, collecting and analyzing big data in urban space, and particularly relates to a three-dimensional modeling method and system for realizing urban information based on big data.
Background
As city size and complexity increases, it becomes increasingly important to accurately and efficiently model city information in three dimensions. Currently, three-dimensional modeling systems of urban information present tremendous potential in a big data context, however, the prior art still presents some bottlenecks and challenges.
Firstly, the traditional city modeling method faces the complexity of data acquisition and integration, city information covers a plurality of fields including geographic information, building information, traffic flow, demographics and the like, and the sources of the data are wide but scattered, so that the data acquisition and integration are difficult to realize efficiently, and the current technology lacks a unified and efficient data integration means when processing the heterogeneous data sources, so that the comprehensiveness and accuracy of city information modeling are limited.
Secondly, existing modeling algorithms have limitations in processing large-scale, high-dimensional data. The geographic and architectural information of the city is huge, and the requirement for high-quality and high-efficiency processing of data is often difficult to meet by adopting a traditional modeling algorithm. In the big data age, more advanced algorithms and techniques are needed to fully mine and exploit this information to improve the accuracy and efficiency of three-dimensional modeling. In addition, the user interaction and visualization aspects still have challenges, the traditional urban information system is generally limited in the aspects of user interaction and visualization, an intuitive and flexible operation interface is difficult to provide, and in the fields of urban planning, management and the like, the user needs a higher degree of immersive experience and real-time interactivity, and the prior art has certain defects in the aspect.
Disclosure of Invention
Aiming at the situation, the invention provides a three-dimensional modeling system for realizing urban information based on big data in order to overcome the defects of the prior art, and the invention aims to solve the problem that the existing modeling algorithm has limitation in processing large-scale and high-dimensional data. The invention integrates a plurality of modules, and realizes the comprehensive integration of various urban data, including geographic information, building information, traffic flow and demographic data, through the synergistic effect of a data acquisition module and a data processing module. This helps to build a more accurate, comprehensive city information database.
The technical scheme adopted by the invention is as follows: the invention provides a three-dimensional modeling system for realizing urban information based on big data, which comprises the following components:
and a data acquisition module: the method is used for collecting various urban data including geographic information, building information, traffic flow and demographic data;
and a data processing module: cleaning, integrating and preprocessing the acquired data to ensure the accuracy and consistency of the data; the three-dimensional modeling algorithm module: realizing a three-dimensional modeling algorithm based on city data, and converting various collected data into a three-dimensional model;
and a visualization module: the method is used for presenting the generated three-dimensional model in an intuitive mode and supporting user interaction;
a user interface module: providing an interface for interaction between a user and a system, wherein the interface comprises a city information inquiring function and a model editing function;
security and privacy module: the safety of data acquisition, processing, storage and display is ensured, and unauthorized access and data leakage are prevented;
and a system management module: the whole system is monitored, maintained and managed, and the stability and usability of the system are ensured, including system configuration, performance monitoring and fault removal functions.
Further, data sources include sensors, satellite telemetry, social media, municipal facilities.
Further, the interface for the user to interact with the system is a graphical interface (GUI), web interface.
Further, the data processing module includes:
the data cleaning and integrating unit is used for detecting and correcting errors, missing values and abnormal values in the data, integrating the data from different sources and ensuring format consistency;
the data preprocessing unit performs preliminary processing on data, including normalization, standardization and dimension reduction operation;
the space data processing unit is used for performing special space data processing, including geographic coordinate conversion and GIS processing, aiming at the space characteristics of the urban information;
the data management and safety protection unit adopts a big data processing technology to ensure the data security, performs real-time and batch processing, simultaneously processes the data generated in real time, ensures to accord with privacy regulations, and performs desensitization and encryption processing on sensitive information.
Further, the method comprises the steps of: the data preprocessing unit adopts a distributed computing framework to accelerate data processing, and the algorithm comprises the following steps: map stage: the input data is split into a plurality of small blocks, each block is processed by a Map task, and the data of each small block is processed to generate key value pairs;
the Shuffle stage: data of the same key is transmitted to the same Reduce task, which is automatically completed by the framework,
and (3) a Reduce stage: and carrying out aggregation operation on each key to generate a final result.
Further, the three-dimensional modeling algorithm module includes:
the voxelization algorithm unit divides the urban space into small cubes and endows each voxel with corresponding attribute information, and is responsible for converting the attribute information into a three-dimensional model;
the point cloud processing algorithm unit is used for processing urban point cloud data acquired by the laser radar and the camera sensor and converting the point cloud data into a three-dimensional model;
the BIM algorithm unit is used for integrating various information of the building, including structures, materials and functions, based on a parameterized three-dimensional modeling method of the building to form a highly informationized three-dimensional model;
the GIS and geographic information modeling unit is used for modeling each element of the city in a geographic coordinate mode by utilizing a geographic information system technology, integrating geographic information data of different sources by combining a big data technology, and realizing finer and comprehensive three-dimensional modeling of the city;
the image recognition and computer vision unit uses satellite images for modeling, uses a computer vision technology for image recognition, and converts the recognized features into a three-dimensional model;
and the deep learning and generating model unit is used for training the neural network to learn urban features from large-scale data by using a deep learning technology. A three-dimensional model of the city is generated using the generative model.
Further, the BIM algorithm unit adopts a parameterized modeling algorithm, and the algorithm formula is as follows:
parameter definition: defining a set of parameters, length (L), width (W), height (H) of the building;
parameterized modeling: building the geometry of the building using the defined parameters, the volume of the building being expressed as v=lxwχh; attribute association: associating the parameter with other attributes of the building, associating the structure of the building with the height, and adopting a specific structure if the height is greater than a certain threshold value;
model updating: when the parameters change, the building model is automatically updated, the user changes the length parameters of the building, and the system recalculates the geometry of the building.
Further, the deep learning and generating model unit adopts a convolutional neural network algorithm, the generating model adopts a generating countermeasure network algorithm, and the algorithm formula is as follows:
convolutional neural network algorithm:
the convolution layer formula:
Gomv(x，w)＝σ(x*w+b)；
where x is the input data, w is the convolution kernel, b is the bias term, σ is the activation function;
pooling layer:
Pool(x)＝max(x)；
where x is the data within the pooling window;
generating an antagonism network algorithm:
generator (Generator):
G(z)；
where z is the random noise of the input;
discriminator (Discriminator):
D(x)；
where x is the input data;
challenge training process:
the scheme also discloses an operation method of the three-dimensional modeling system for realizing city information based on big data, which mainly comprises the following steps:
step A1: the method comprises the steps that various city data including geographic information, building information, traffic flow and demographic data are collected by utilizing a data collection module, and the data come from a plurality of sources such as sensors, satellite remote sensing, municipal facilities and social media;
step A2: the data processing module is used for cleaning, integrating and preprocessing the acquired data, including processing errors, missing values and abnormal values in the data, so that the consistency and the accuracy of the data are ensured;
step A3: three-dimensional modeling based on city data is realized by utilizing a three-dimensional modeling algorithm module;
step A4: the generated three-dimensional model is presented in an intuitive mode by utilizing a visualization module, wherein the visual mode comprises a graphic processing technology and a virtual reality technology so as to support user interaction;
step A5: providing a user interface module, allowing a user to inquire city information and edit a model, enabling the user to interact with the system through a graphical interface or a Web interface, obtaining required information and participating in a modeling process;
step A6: in each stage of data acquisition, processing, storage and display, the security and privacy module is utilized to ensure the security of the system, including the processing of sensitive information, the encryption of data and the access control;
step A7: the system management module is used for monitoring, maintaining and managing the whole system, including functions of configuration management, performance monitoring, fault removal and the like, so as to ensure the stability and availability of the system.
The beneficial effects obtained by the invention by adopting the structure are as follows: the invention provides a three-dimensional modeling system for realizing urban information based on big data, which realizes the following beneficial effects:
(1) Comprehensive data integration: through the synergistic effect of the data acquisition module and the data processing module, comprehensive integration of various urban data is realized, wherein the comprehensive integration comprises geographic information, building information, traffic flow and demographic data. This helps to build a more accurate, comprehensive city information database.
(2) High quality three-dimensional modeling: and converting the urban data into a high-quality three-dimensional model by utilizing a three-dimensional modeling algorithm module and adopting advanced algorithms such as voxelization, point cloud modeling, BIM and the like. This helps to reflect urban geography and architectural features, providing a visual visualization experience for the user.
(3) User-friendly interaction interface: through the interface provided by the user interface module, users can conveniently inquire about city information, edit models and the like. This helps to improve the usability of the system, enabling users to participate more intuitively in the exploration and modeling of city information.
(4) Secure privacy protection: the security and privacy module ensures the security of data in each link of data acquisition, processing, storage and display, and prevents unauthorized access and data disclosure. This helps to establish user trust, ensuring proper handling of sensitive information.
(5) Stability and maintainability of the system: the system management module is used for monitoring, maintaining and managing the whole system, so that the stability and usability of the system are ensured. This helps to discover and solve potential problems in time, improves system stability, and provides reliable service to users.
Drawings
Fig. 1 is a flow chart of a three-dimensional modeling system for realizing city information based on big data.
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention.
Detailed Description
The technical solutions of the embodiments of the present invention will be clearly and completely described below in conjunction with the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1:
referring to fig. 1, the present embodiment is a three-dimensional modeling system for implementing city information based on big data, including a data acquisition module, a data processing module, a three-dimensional modeling algorithm module, a visualization module, a security and privacy module, and a system management module; the data acquisition module is used for collecting various urban data, including geographic information, building information, traffic flow and demographic data;
the data processing module cleans, integrates and preprocesses the acquired data so as to ensure the accuracy and consistency of the data;
the three-dimensional modeling algorithm module realizes a three-dimensional modeling algorithm based on urban data, and converts various collected data into a three-dimensional model;
the visualization module is used for presenting the generated three-dimensional model in an intuitive mode and supporting user interaction;
the user interface module provides an interface for interaction between a user and the system, and comprises functions of inquiring city information and editing a model;
the security and privacy module guarantees the security of data acquisition, processing, storage and display, and prevents unauthorized access and data leakage;
the system management module monitors, maintains and manages the whole system, ensures the stability and availability of the system, and comprises system configuration, performance monitoring and fault removal functions.
Example 2:
referring to fig. 1, the present embodiment is a method for using a three-dimensional modeling system for implementing city information based on big data, including the following steps:
step A1: the method comprises the steps that various city data including geographic information, building information, traffic flow and demographic data are collected by utilizing a data collection module, and the data come from a plurality of sources such as sensors, satellite remote sensing, municipal facilities and social media;
step A2: the data processing module is used for cleaning, integrating and preprocessing the acquired data, including processing errors, missing values and abnormal values in the data, so that the consistency and the accuracy of the data are ensured;
step A3: three-dimensional modeling based on city data is realized by utilizing a three-dimensional modeling algorithm module;
step A4: the generated three-dimensional model is presented in an intuitive mode by utilizing a visualization module, wherein the visual mode comprises a graphic processing technology and a virtual reality technology so as to support user interaction;
step A5: providing a user interface module, allowing a user to inquire city information and edit a model, enabling the user to interact with the system through a graphical interface or a Web interface, obtaining required information and participating in a modeling process;
step A6: in each stage of data acquisition, processing, storage and display, the security and privacy module is utilized to ensure the security of the system, including the processing of sensitive information, the encryption of data and the access control;
step A7: the system management module is used for monitoring, maintaining and managing the whole system, including functions of configuration management, performance monitoring, fault removal and the like, so as to ensure the stability and availability of the system.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
The invention and its embodiments have been described above with no limitation, and the actual construction is not limited to the embodiments of the invention as shown in the drawings. In summary, if one of ordinary skill in the art is informed by this disclosure, a structural manner and an embodiment similar to the technical solution should not be creatively devised without departing from the gist of the present invention.
Claims (9)
1. A three-dimensional modeling system for implementing city information based on big data, comprising:
and a data acquisition module: the method is used for collecting various urban data including geographic information, building information, traffic flow and demographic data;
and a data processing module: cleaning, integrating and preprocessing the acquired data to ensure the accuracy and consistency of the data;
the three-dimensional modeling algorithm module: realizing a three-dimensional modeling algorithm based on city data, and converting various collected data into a three-dimensional model;
and a visualization module: the method is used for presenting the generated three-dimensional model in an intuitive mode and supporting user interaction;
a user interface module: providing an interface for interaction between a user and a system, wherein the interface comprises a city information inquiring function and a model editing function;
security and privacy module: the safety of data acquisition, processing, storage and display is ensured, and unauthorized access and data leakage are prevented;
and a system management module: the whole system is monitored, maintained and managed, and the stability and usability of the system are ensured, including system configuration, performance monitoring and fault removal functions.
2. The three-dimensional modeling system for implementing city information based on big data of claim 1, wherein: the data sources include sensors, satellite telemetry, social media, and municipal facilities.
3. The three-dimensional modeling system for implementing city information based on big data of claim 2, wherein: the interface for the user to interact with the system is a graphical interface (GUI), web interface.
4. A three-dimensional modeling system for implementing city information based on big data as defined in claim 3, wherein: the data processing module includes:
the data cleaning and integrating unit is used for detecting and correcting errors, missing values and abnormal values in the data, integrating the data from different sources and ensuring format consistency;
the data preprocessing unit performs preliminary processing on data, including normalization, standardization and dimension reduction operation;
the space data processing unit is used for performing special space data processing, including geographic coordinate conversion and GIS processing, aiming at the space characteristics of the urban information;
the data management and safety protection unit adopts a big data processing technology to ensure the data security, performs real-time and batch processing, simultaneously processes the data generated in real time, ensures to accord with privacy regulations, and performs desensitization and encryption processing on sensitive information.
5. The three-dimensional modeling system for implementing city information based on big data of claim 4, wherein: the data preprocessing unit adopts a distributed computing framework to accelerate data processing, and the algorithm comprises the following steps:
map stage: the input data is split into a plurality of small blocks, each block is processed by a Map task, and the data of each small block is processed to generate key value pairs;
the Shuffle stage: data of the same key are transmitted to the same Reduce task, and the stage is that the framework is automatically completed, and the Reduce stage is that: and carrying out aggregation operation on each key to generate a final result.
6. The three-dimensional modeling system for implementing city information based on big data of claim 5, wherein: the three-dimensional modeling algorithm module comprises:
the voxelization algorithm unit divides the urban space into small cubes and endows each voxel with corresponding attribute information, and is responsible for converting the attribute information into a three-dimensional model;
the point cloud processing algorithm unit is used for processing urban point cloud data acquired by the laser radar and the camera sensor and converting the point cloud data into a three-dimensional model;
the BIM algorithm unit is used for integrating various information of the building, including structures, materials and functions, based on a parameterized three-dimensional modeling method of the building to form a highly informationized three-dimensional model;
the GIS and geographic information modeling unit is used for modeling each element of the city in a geographic coordinate mode by utilizing a geographic information system technology, integrating geographic information data of different sources by combining a big data technology, and realizing finer and comprehensive three-dimensional modeling of the city;
the image recognition and computer vision unit uses satellite images for modeling, uses a computer vision technology for image recognition, and converts the recognized features into a three-dimensional model;
and the deep learning and model generating unit is used for training the neural network to learn urban features from the large-scale data by using a deep learning technology and generating a three-dimensional model of the city by using the model.
7. The three-dimensional modeling system for implementing city information based on big data of claim 6, wherein: the BIM algorithm unit adopts a parameterized modeling algorithm, and the algorithm formula is as follows:
parameter definition: defining a set of parameters, length (L), width (W), height (H) of the building;
parameterized modeling: building the geometry of the building using the defined parameters, the volume of the building being expressed as v=l×w×h;
attribute association: associating the parameter with other attributes of the building, associating the structure of the building with the height, and adopting a specific structure if the height is greater than a certain threshold value;
model updating: when the parameters change, the building model is automatically updated, the user changes the length parameters of the building, and the system recalculates the geometry of the building.
8. The three-dimensional modeling system for implementing city information based on big data of claim 7, wherein: the deep learning and generating model unit adopts a convolutional neural network algorithm, the generating model adopts a generating countermeasure network algorithm, and the algorithm formula is as follows:
convolutional neural network algorithm:
the convolution layer formula:
Conv(x，w)＝σ(x*w+b)；
where x is the input data, w is the convolution kernel, b is the bias term, σ is the activation function;
pooling layer:
Fool(x)＝max(x)；
where x is the data within the pooling window;
generating an antagonism network algorithm:
generator (Generator):
G(z)；
where z is the random noise of the input;
discriminator (Discriminator):
D(x)；
where x is the input data;
challenge training process:
9. a three-dimensional modeling method for realizing urban information based on big data is characterized in that; operation of a three-dimensional modeling system for implementing urban information based on big data according to claim 8, mainly comprising the steps of:
step A1: the method comprises the steps that various city data including geographic information, building information, traffic flow and demographic data are collected by utilizing a data collection module, and the data come from a plurality of sources such as sensors, satellite remote sensing, municipal facilities and social media;
step A2: the data processing module is used for cleaning, integrating and preprocessing the acquired data, including processing errors, missing values and abnormal values in the data, so that the consistency and the accuracy of the data are ensured;
step A3: three-dimensional modeling based on city data is realized by utilizing a three-dimensional modeling algorithm module;
step A4: the generated three-dimensional model is presented in an intuitive mode by utilizing a visualization module, wherein the visual mode comprises a graphic processing technology and a virtual reality technology so as to support user interaction;
step A5: providing a user interface module, allowing a user to inquire city information and edit a model, enabling the user to interact with the system through a graphical interface or a Web interface, obtaining required information and participating in a modeling process;
step A6: in each stage of data acquisition, processing, storage and display, the security and privacy module is utilized to ensure the security of the system, including the processing of sensitive information, the encryption of data and the access control;
step A7: the system management module is used for monitoring, maintaining and managing the whole system, including functions of configuration management, performance monitoring, fault removal and the like, so as to ensure the stability and availability of the system.
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| CN118012977A (en) * | 2024-04-08 | 2024-05-10 | 莆田市数字城市互联网信息服务有限公司 | AI and GIS fusion-based two-dimensional multi-mode data processing method |
| CN118012977B (en) * | 2024-04-08 | 2024-06-07 | 莆田市数字城市互联网信息服务有限公司 | AI and GIS fusion-based two-dimensional multi-mode data processing method |
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