Emergency surveying and mapping data management system and method based on live-action three-dimensional modeling

Abstract

The invention discloses an emergency surveying and mapping data management system and method based on live-action three-dimensional modeling, and relates to the technical field of data management, and the method specifically comprises the steps: carrying out the modeling of a region needing disaster emergency safety prevention and control based on a live-action three-dimensional modeling technology, and obtaining a region live-action model; and importing the emergency surveying and mapping data corresponding to the region into the region real scene model, performing information fusion and associated display, and performing data analysis and evaluation on the real scene three-dimensional modeling data and the emergency surveying and mapping data to obtain a region safety evaluation result. According to the emergency surveying and mapping data management system and method based on live-action three-dimensional modeling, the live-action three-dimensional modeling technology and emergency surveying and mapping data are deeply fused, the effect of the intuitive understanding level of disaster area conditions is improved, the decision making speed is increased, and emergency decision making and emergency decision visualization rehearsal are assisted. And a multi-core processor, a parallel computing technology and a data partitioning processing principle are utilized, so that the data processing speed of the system is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of data management, and in particular to an emergency surveying and mapping data management system and method based on real-scene three-dimensional modeling. Background Art

[0002] In the context of frequent disasters, surveying and mapping geographic information departments in various places have provided effective emergency surveying and mapping support services for sudden accidents to ensure the effectiveness and safety of emergency response to sudden accidents and unexpected disasters. Therefore, emergency surveying and mapping mainly involves effective and real-time monitoring of areas where sudden accidents occur, and comprehensive and effective updates and emergency surveying and mapping of basic geographic processing in this area. In the process of rapid data collection, processing and processing, detailed geographic graphics are formed, so that superior departments can better understand the actual local situation and more actively grasp the dynamics and status of the disaster.

[0003] Existing GIS systems have played an important role in disaster monitoring, risk assessment, etc. In related technologies, the acquisition of three-dimensional geographic data by GIS systems mainly relies on traditional two-dimensional means, such as satellite images and aerial images. These means have limitations in acquiring certain types of three-dimensional data, and the accuracy is difficult to guarantee. When creating the landforms in the disaster area, the GIS system needs to collect data on site first, and then use the collected data for three-dimensional modeling, which causes the data management system to need to process a large amount of data in a short period of time, reduces data processing efficiency, and makes it difficult to intuitively reflect complex terrain and dynamic changes. Based on this, the present application proposes an emergency surveying and mapping data management system and method based on real-scene three-dimensional modeling. Summary of the invention

[0004] The present invention provides an emergency mapping data management system and method based on real-scene three-dimensional modeling, which solves the problem that the prior art mentioned in the above background technology cannot provide a comprehensive and three-dimensional view of the disaster area, resulting in low emergency response efficiency and insufficient decision support.

[0005] The present invention provides the following technical solutions: an emergency surveying and mapping data management system based on real-scene three-dimensional modeling, which adopts a modular architecture and includes a data collection module, a data processing and analysis module, and a result display module. Each module is independent of each other and uses a standardized communication protocol for data interaction; The data collection module is used to collect multi-dimensional data on areas that require disaster emergency safety control and post-disaster areas, and upload the collected data to the data processing and analysis module; The data collection module provides multiple data collection methods and has a built-in data format conversion function, which converts the collected data in different formats into a standardized data structure that is compatible with the data processing and analysis module, and transmits the data in a unified format to the data processing and analysis module in real time for use by the data processing and analysis module; The data processing and analysis module is used to clean, annotate, extract features and store the collected data, model the area that needs to be disaster emergency safety control based on the real-scene 3D modeling technology, obtain the regional real-scene 3D model, import the emergency mapping data corresponding to the area into the regional real-scene 3D model, obtain the regional emergency mapping 3D model, and perform data analysis and evaluation on the regional real-scene 3D modeling data and emergency mapping data, give post-disaster reconstruction suggestions and dynamic planning of evacuation routes, and upload the obtained 3D model, analysis results and suggested planning to the result display module; The data processing and analysis module uses multi-core processors and parallel computing technology to distribute data processing tasks to multiple processor cores, and the processor cores divide large data sets into multiple small blocks for processing based on the principle of data block processing; The result display module provides an interactive interface for displaying the analysis results of the data processing and analysis module to the user in a visual form, and facilitates the user to enter and query data; the result display module is based on mobile and PC terminals, supports operations on mobile devices, and realizes management anytime and anywhere.

[0006] Preferably, the data collection methods provided by the data collection module include but are not limited to: sensor collection, remote sensing image interpretation, three-dimensional data collection, aerial survey or radar data collection, and field measurement.

[0007] Preferably, the data processing and analysis module compares the pre-disaster data and emergency mapping data corresponding to the region, obtains the change data corresponding to the region, and imports the change data into the real-scene three-dimensional model to obtain the regional emergency mapping three-dimensional model.

[0008] Preferably, the multi-dimensional data collected by the data collection module includes optical images, infrared data, lidar point cloud data, high-resolution texture data, three-dimensional coordinate data, and color, transparency, and texture feature data.

[0009] Preferably, data encryption transmission is adopted between modules in the emergency surveying and mapping data management system, and the emergency surveying and mapping data management system has multiple encryption algorithms.

[0010] Preferably, the data processing and analysis module compares the currently collected data with the first collected data in the same area to obtain the currently collected change data, and saves all the data corresponding to the first collection of the area and the currently collected change data.

[0011] A data management method for an emergency surveying and mapping data management system based on real-scene three-dimensional modeling comprises the following steps: S1. Use at least two data collection methods to collect multi-dimensional data in areas where disaster emergency safety prevention and control is required, and convert the collected data in different formats into data in a unified format; S2. Clean, annotate, and extract features of the data in a unified format to obtain real-scene 3D modeling data and store it; S3. Based on the real-scene 3D modeling technology, model the area where disaster emergency safety prevention and control is required to obtain a regional real-scene model; S4. Collect multi-dimensional data on the target area affected by the disaster, and convert the collected data in different formats into data in a unified format; S5. Clean, annotate, and extract features from the data obtained in step S4 to obtain emergency mapping data; S6. Compare the emergency surveying and mapping data with the real-scene 3D modeling data corresponding to the same area before and after the disaster, obtain the change data and static data corresponding to the area before and after the disaster, store the change data, and import the change data into the real-scene 3D model, perform information fusion and correlation display, and obtain the regional emergency surveying and mapping 3D model; S7. Perform data analysis and evaluation on the real-scene 3D modeling data and emergency mapping data to obtain regional safety assessment results; S8. Issue corresponding early warning signals based on the regional safety assessment results; S9. Provide post-disaster reconstruction suggestions and dynamic planning demonstration of evacuation routes.

[0012] Preferably, the specific operation of data format conversion in S1 is: 1. Clarify the target format to which the collected data is to be converted; 2. Convert the collected data into intermediate data in a unified format, and then convert the intermediate data into output data in the target format; 3. After the conversion is completed, verify the output data to ensure data integrity and consistency.

[0013] Preferably, in S2, when storing the real-scene 3D modeling data collected in different time periods, the currently collected real-scene 3D modeling data is compared with the real-scene 3D modeling data collected for the first time to obtain change data, and only the currently collected change data is stored.

[0014] Preferably, the warning signals are distinguished by different colors.

[0015] Compared with the prior art, the present invention has the following beneficial effects: 1. The emergency mapping data management system and method based on real-scene 3D modeling deeply integrates real-scene 3D modeling technology with emergency mapping data, improves the intuitive understanding of the disaster area situation, speeds up decision-making, and assists emergency decision-making and visual preview of emergency decision-making; 2. The emergency mapping data management system and method based on real-scene 3D modeling utilizes multi-core processors, parallel computing technology, and data block processing principles to improve the system data processing speed, thereby improving the system emergency response efficiency, and saving changed data, reducing system storage data redundancy, saving storage space, simplifying data maintenance, and improving data query efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 This is a block diagram of an emergency surveying and mapping data management system based on real-scene three-dimensional modeling proposed by the present invention; Figure 2 This is a structural block diagram of the data processing and analysis module proposed in the present invention; Figure 3 This is a flow chart of a data management method for an emergency surveying and mapping data management system based on real-scene three-dimensional modeling proposed by the present invention. DETAILED DESCRIPTION

[0017] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0018] The present invention provides an emergency mapping data management system based on real-scene 3D modeling, aiming to solve the problem that the existing technology cannot provide a comprehensive and three-dimensional view of the disaster area, resulting in low emergency response efficiency and insufficient decision support, such as Figure 1 As shown, the emergency surveying and mapping data management system adopts a modular architecture, which mainly includes three modules: data collection module, data processing and analysis module and result display module. The modules in the emergency surveying and mapping management system are independent of each other and adopt standardized communication protocols for data exchange. The emergency surveying and mapping management system supports flexible expansion to meet various needs and improve adaptability.

[0019] The emergency surveying and mapping data management system uses data encryption transmission between modules to ensure data security. The emergency surveying and mapping data management system has a variety of encryption algorithms, such as AES encryption algorithm, DES encryption algorithm, RSA encryption algorithm, etc. When the system is actually used, the data processing and analysis module can use different encryption algorithms to interact with the data collection module and the result display module, and each module can use different encryption algorithms when interacting with data in different time periods to further improve data security.

[0020] See also Figure 1 The data collection module and the data processing and analysis module interact with each other. The data collection module is used to collect multi-dimensional data for areas that require disaster emergency safety prevention and control and post-disaster areas. The multi-dimensional data collected by the data collection module includes optical images, infrared data, lidar point cloud data, high-resolution texture data, three-dimensional coordinate data, and color, transparency, and texture feature data, and the collected data is uploaded to the data processing and analysis module.

[0021] The data collection module provides a variety of data collection methods, including but not limited to: sensor collection, remote sensing image interpretation, three-dimensional data collection, aerial survey or radar data collection, and field measurement. It also has a built-in data format conversion function, which converts the collected data in different formats into a standardized data structure that is compatible with the data processing and analysis module, and transmits the unified format data to the data processing and analysis module in real time for use by the data processing and analysis module.

[0022] The data collection module includes a front-end acquisition part, a data preprocessing part, a data format conversion part, and a data storage and upload part. The front-end acquisition part uses existing data acquisition methods to realize multi-dimensional data collection of areas that need disaster emergency safety prevention and control and post-disaster areas, such as using drones equipped with multispectral cameras, lidar and other sensors to fly over the disaster area for scanning and collect a large amount of geographic information data in the target area. The front-end acquisition part uploads the collected data to the data preprocessing part in real time to perform pre-cleaning (such as deduplication, noise removal, filling missing values, etc.), feature extraction, text conversion and other operations to ensure the quality and accuracy of the data and facilitate subsequent data analysis and processing. The preprocessed data is uploaded to the data format conversion part in real time, and the data format conversion part converts the data format. The data after the conversion format is stored in the data storage and upload part, and the data storage and upload part uploads the data after the conversion format to the data processing and analysis module.

[0023] The data processing and analysis module is used to clean, annotate, extract features and store the collected data. Based on the real-life 3D modeling technology, it models the area where disaster emergency safety control is required to obtain a regional real-life 3D model. The emergency mapping data corresponding to the area is imported into the regional real-life 3D model to obtain a regional emergency mapping 3D model. The module also performs data analysis and evaluation on the regional real-life 3D modeling data and emergency mapping data, and provides post-disaster reconstruction recommendations and dynamic planning of evacuation routes.

[0024] like Figure 1 and Figure 2 As shown, the data processing and analysis module includes a data receiving part, a data processing part, a data storage part, a data processor, and a data security management part. The data receiving part is used for the data information uploaded by the data collection module. The data receiving module uploads the data information to the data processing part. The data processing part pre-processes the data, including data cleaning, labeling and feature extraction. The pre-processed data is stored in the data storage part, and the data storage part uploads the data to the data processor. The data processor can control the work of the front-end acquisition part.

[0025] The data processor is a multi-core processor, and the data storage part distributes the data processing tasks to multiple processor cores of the data processor to improve the data processing speed. The processor core divides the large data set into multiple small blocks for processing based on the data block processing principle, reduces the load of word processing, and further improves the data processing efficiency; the data processor models the area that needs disaster emergency safety prevention and control based on the real-scene three-dimensional modeling technology to obtain the regional real-scene three-dimensional model; the data processor compares the pre-disaster data and emergency mapping data corresponding to the area, obtains the change data corresponding to the area, and imports the change data into the real-scene three-dimensional model to obtain the regional emergency mapping three-dimensional model; the data processor analyzes and evaluates the real-scene three-dimensional modeling data and emergency mapping data of the area, and gives post-disaster reconstruction suggestions and dynamic planning of evacuation paths; the data processor stores the obtained change data, the obtained regional real-scene three-dimensional model, the regional emergency mapping three-dimensional model and the analysis results, suggestions and plans using the data storage part, and marks the obtained three-dimensional model and the analysis results, suggestions and plans for easy reference, and the data processor uploads the obtained three-dimensional model and the analysis results, suggestions and plans to the result display module. The data security management part interacts with the data processor to ensure the security of the data processing and analysis modules, including data access control and encryption.

[0026] From the above description, it can be seen that when the data processing and analysis module is in use, multi-core processing, parallel computing, and data block processing technology are adopted to improve the processing speed of the data processing and analysis module and improve the system response.

[0027] In addition, the data processing and analysis module compares the currently collected data with the first collected data in the same area, obtains the currently collected change data, saves all the data corresponding to the first collection of the area and the currently collected change data, reduces the redundancy of system storage data, saves storage space, simplifies data maintenance, and improves data query efficiency. When the system needs to call the regional collection data of a certain time period, the first collection data corresponding to the area and the saved change data of a certain time period are merged to obtain the data to be consulted. And when the obtained change data accounts for a large proportion of the current collection data, the system takes the collection time point of the current collection data as the node, and the area between two adjacent nodes as the node segment. In the node segment where the current collection data is located, the current collection data is recorded as the data corresponding to the first collection of the area, and the data collected after the node is compared with the current collection data.

[0028] like Figure 1 and Figure 2 As shown, the result display module interacts with the data processing and analysis module. The result display module provides an interactive interface for displaying the analysis results of the data processing and analysis module to the user in a visual form, and facilitates the user to enter and query data; the result display module is based on the mobile terminal and PC terminal, supports operations on mobile devices, and realizes management anytime and anywhere.

[0029] like Figure 3 As shown, the present invention proposes a data management method for an emergency surveying and mapping data management system based on real-scene three-dimensional modeling, comprising the following steps: S1. Use at least two data collection methods to collect multi-dimensional data in areas where disaster emergency safety prevention and control is required, and convert the collected data in different formats into data in a unified format; The specific operations of data format conversion in S1 are: 1. Clarify the target format to which the collected data is to be converted; 2. Convert the collected data into intermediate data in a unified format, and then convert the intermediate data into output data in the target format; 3. After the conversion is completed, the output data is verified to ensure the integrity and consistency of the data; S2. Clean, annotate, and extract features from the data in a unified format to obtain real-scene 3D modeling data, and store it. When storing the real-scene 3D modeling data collected in different time periods, compare the real-scene 3D modeling data currently collected with the real-scene 3D modeling data collected for the first time to obtain change data, and only store the change data currently collected. If the change data accounts for a large proportion of the current collected data (greater than 50%), the collection time point of the current collected data is taken as a node, and the area between two adjacent nodes is a node segment. In the node segment where the current collected data is located, the current collected data is recorded as the data collected for the first time in the area, and the data collected after the node is compared with the current collected data to obtain the change data.

[0030] S3. Based on the real-scene 3D modeling technology, model the area where disaster emergency safety prevention and control is required to obtain a regional real-scene model; S4. Collect multi-dimensional data on the target area affected by the disaster, and convert the collected data in different formats into data in a unified format; S5, cleaning, labeling, and feature extraction of the data obtained in step S4 to obtain emergency mapping data (including geographical information such as disaster area landforms, traffic roads, and buildings); S6. Compare the emergency surveying and mapping data with the real-scene 3D modeling data corresponding to the same area before and after the disaster, obtain the change data and static data corresponding to the area before and after the disaster, store the change data, and import the change data into the real-scene 3D model, perform information fusion and correlation display, and obtain the regional emergency surveying and mapping 3D model; S7. Conduct data analysis and evaluation on real-life 3D modeling data and emergency mapping data to obtain regional safety assessment results, and conduct assessments based on factors such as the scope of the disaster, the impact of the disaster, and casualties in the region.

[0031] S8. Issue corresponding warning signals according to the regional safety assessment results. Warning signals can be distinguished by different colors. For example, warning signals can be distinguished by blue, yellow, and red from small to large, so that the staff can intuitively understand the disaster situation; S9. Provide post-disaster reconstruction suggestions and dynamic planning demonstrations of evacuation routes. Staff can select appropriate planning routes and post-disaster reconstruction suggestions based on needs, which speeds up decision-making and assists in emergency decision-making and visual rehearsal of emergency decisions.

[0032] To sum up: the emergency mapping data management system and method based on real-scene 3D modeling deeply integrates real-scene 3D modeling technology with emergency mapping data, improves the level of intuitive understanding of the situation in the disaster area, speeds up decision-making, and assists emergency decision-making and emergency decision-making visualization rehearsal.

[0033] The contents not described in detail in this specification belong to the prior art known to professional and technical personnel in the field. Although the embodiments of the present invention have been shown and described, it is understood by ordinary technicians in this field that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principle and spirit of the present invention. The scope of the present invention is defined by the attached claims and their equivalents.

Claims

1. An emergency surveying and mapping data management system based on real-scene 3D modeling, characterized by: It adopts a modular architecture, including data collection module, data processing and analysis module and result display module. Each module is independent of each other and uses standardized communication protocols for data exchange. The data collection module is used to collect multi-dimensional data on areas that require disaster emergency safety control and post-disaster areas, and upload the collected data to the data processing and analysis module; The data collection module provides multiple data collection methods and has a built-in data format conversion function, which converts the collected data in different formats into a standardized data structure that is compatible with the data processing and analysis module, and transmits the data in a unified format to the data processing and analysis module in real time for use by the data processing and analysis module; The data processing and analysis module is used to clean, annotate, extract features and store the collected data, model the area that needs to be disaster emergency safety control based on the real-scene 3D modeling technology, obtain the regional real-scene 3D model, import the emergency mapping data corresponding to the area into the regional real-scene 3D model, obtain the regional emergency mapping 3D model, and perform data analysis and evaluation on the regional real-scene 3D modeling data and emergency mapping data, give post-disaster reconstruction suggestions and dynamic planning of evacuation paths, and upload the obtained 3D model, analysis results and suggested planning to the result display module; The data processing and analysis module uses multi-core processors and parallel computing technology to distribute data processing tasks to multiple processor cores, and the processor cores divide large data sets into multiple small blocks for processing based on the principle of data block processing; The result display module provides an interactive interface for displaying the analysis results of the data processing and analysis module to the user in a visual form, and facilitates the user to enter and query data; the result display module is based on the mobile terminal and PC terminal, and supports operations on mobile devices.

2. According to claim 1, an emergency surveying and mapping data management system based on real-scene three-dimensional modeling is characterized by: The data collection methods provided by the data collection module include but are not limited to: sensor collection, remote sensing image interpretation, three-dimensional data collection, aerial survey or radar data collection, and field measurement.

3. The emergency surveying and mapping data management system based on real-scene three-dimensional modeling according to claim 1 is characterized by: The data processing and analysis module compares the pre-disaster data and emergency mapping data corresponding to the region, obtains the change data corresponding to the region, and imports the change data into the real-scene three-dimensional model to obtain the regional emergency mapping three-dimensional model.

4. The emergency surveying and mapping data management system based on real-scene three-dimensional modeling according to claim 2 is characterized in that: The multi-dimensional data collected by the data collection module include optical images, infrared data, laser radar point cloud data, high-resolution texture data, three-dimensional coordinate data, and color, transparency, and texture feature data.

5. The emergency surveying and mapping data management system based on real-scene three-dimensional modeling according to claim 1 is characterized by: The modules in the emergency surveying and mapping data management system adopt data encryption transmission mode, and the emergency surveying and mapping data management system has multiple encryption algorithms.

6. The emergency surveying and mapping data management system based on real-scene three-dimensional modeling according to claim 1 is characterized by: The data processing and analysis module compares the currently collected data with the first collected data in the same area, obtains the currently collected change data, and saves all the data corresponding to the first collection of the area and the currently collected change data.

7. A method for managing emergency surveying and mapping data based on real-scene 3D modeling, according to any one of claims 1 to 6, characterized in that: The following steps are involved: S1. Use at least two data collection methods to collect multi-dimensional data in areas where disaster emergency safety prevention and control is required, and convert the collected data in different formats into data in a unified format; S2. Clean, annotate, and extract features of the data in a unified format to obtain real-scene 3D modeling data and store it; S3. Based on the real-scene 3D modeling technology, model the area where disaster emergency safety prevention and control is required to obtain a regional real-scene model; S4. Collect multi-dimensional data on the target area affected by the disaster, and convert the collected data in different formats into data in a unified format; S5. Clean, annotate, and extract features from the data obtained in step S4 to obtain emergency mapping data; S6. Compare the emergency surveying and mapping data with the real-scene 3D modeling data corresponding to the same area before and after the disaster, obtain the change data and static data corresponding to the area before and after the disaster, store the change data, and import the change data into the real-scene 3D model, perform information fusion and correlation display, and obtain the regional emergency surveying and mapping 3D model; S7. Perform data analysis and evaluation on the real-scene 3D modeling data and emergency mapping data to obtain regional safety assessment results; S8. Issue corresponding early warning signals based on the regional safety assessment results; S9. Provide post-disaster reconstruction suggestions and dynamic planning demonstration of evacuation routes.

8. The method for emergency surveying and mapping data management based on real-scene three-dimensional modeling according to claim 7 is characterized in that: The specific operation of data format conversion in S1 is:

1. Clarify the target format to which the collected data is to be converted; 2. Convert the collected data into intermediate data in a unified format, and then convert the intermediate data into output data in the target format; 3. After the conversion is completed, verify the output data to ensure data integrity and consistency.

9. The emergency surveying and mapping data management method based on real-scene three-dimensional modeling according to claim 8 is characterized by: In S2, when storing the real-scene 3D modeling data collected in different time periods, the currently collected real-scene 3D modeling data is compared with the real-scene 3D modeling data collected for the first time to obtain change data, and only the currently collected change data is stored.

10. The method for emergency surveying and mapping data management based on real-scene three-dimensional modeling according to claim 9 is characterized in that: The warning signals are distinguished by different colors.

Images