A GIS-based historical building digital information acquisition and display method and system

Abstract

The application discloses a kind of based on GIS's historical building digitization information acquisition and display method and system, it is related to digitization information acquisition and display field.The based on GIS's historical building digitization information acquisition and display method, to be collected historical building is divided into regions, the position coordinate of each collection position of each collection area of each collection orientation of to be collected historical building is obtained, and data acquisition is carried out, corresponding collection position historical building image data is obtained, and fusion analysis is carried out, obtains the comprehensive image data set of each collection orientation of to be collected historical building, and environment data is acquired in real time;The three-dimensional point cloud data is obtained by analyzing the comprehensive image data set of each collection orientation in the application, and health index is obtained by comprehensive analysis with environment data, historical background and geographical position data are acquired, data is input into GIS platform and is analyzed, interactive data panel and display graph are generated, and are combined to show.

Description

Technical Field

[0001] The present invention relates to the field of digital information collection and display, and in particular to a method and system for collecting and displaying digital information of historical buildings based on GIS. Background Art

[0002] GIS is a technology and tool that integrates the collection, storage, analysis, management, and visualization of geographic spatial data. By organically combining spatial information with attribute information, it can realize the visualization, analysis, and simulation of various geographic information in the real world. Historical buildings, as an important part of cultural heritage, carry rich historical information and artistic value. However, traditional recording methods often rely on manual mapping and text descriptions, which are not only inefficient but also easily interfered with by human factors, making it difficult to meet the needs of comprehensive and accurate preservation of building information. However, digital information collection is based on modern technology to obtain relevant data of historical buildings and visualize them through GIS.

[0003] Based on the above solution, it is found that the limitations of the existing technology include at least the following problems. First, the existing technology fails to fully consider the multi-dimensional collection needs of historical buildings, which easily leads to insufficient expression of the spatial integrity and details of historical buildings, and thus it is difficult to accurately reflect the overall picture of the building. Second, the existing technology ignores the dynamic changes in the environmental data and repair needs of historical buildings, resulting in a lack of real-time integration and analysis of environmental factors, making it difficult to comprehensively assess the health status of buildings, thereby limiting the actual application effect of environmental factors in the protection and repair of historical buildings. Moreover, the existing technology does not combine historical background data, geographic location information and environmental changes to achieve a comprehensive display of historical buildings, which makes it difficult for managers to obtain comprehensive and intuitive analysis results, thereby affecting the scientific nature of the repair plan and the optimization of the construction schedule. Summary of the Invention

[0004] In response to the shortcomings of the existing technology, the present invention provides a GIS-based historical building digital information collection and display method and system, which solves the problem that the existing technology fails to fully consider the multi-dimensional collection needs of historical buildings, which easily leads to insufficient expression of the spatial integrity and details of historical buildings, and thus makes it difficult to accurately reflect the overall appearance of the buildings. Secondly, the existing technology ignores the dynamic changes in the environmental data and repair needs of historical buildings, resulting in a lack of real-time integration and analysis of environmental factors, making it difficult to comprehensively assess the health status of buildings, thereby limiting the actual application effect of environmental factors in the protection and repair of historical buildings. Finally, the existing technology does not combine historical background data, geographic location information and environmental changes to achieve a comprehensive display of historical buildings, which makes it difficult for managers to obtain comprehensive and intuitive analysis results, thereby affecting the scientific nature of the repair plan and the optimization of the construction schedule.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: a method for collecting and displaying digital information of historical buildings based on GIS, comprising the following steps: dividing the historical buildings to be collected into regions to obtain a plurality of collection areas of a plurality of collection orientations of the historical buildings to be displayed, and obtaining the collection equipment data of the historical buildings to be collected and the initial position coordinates of each collection area in each collection orientation; comprehensively analyzing the collection equipment data of the historical buildings to be collected and the initial position coordinates of each collection area in each collection orientation to obtain the position coordinates of a plurality of collection positions of the collection equipment of the historical buildings to be collected in each collection area in each collection orientation; collecting data based on the position coordinates of each collection position of each collection area of ​​each collection orientation of the collection equipment of the historical buildings to be displayed to obtain historical building image data of each collection position of each collection area of ​​each collection orientation of the historical buildings to be displayed; The historical building image data of each collection position are fused and processed to obtain a comprehensive historical building image dataset of each collection position of the historical building to be displayed, and the environmental data of the historical building to be displayed are obtained; the comprehensive historical building image dataset of each collection position of the historical building to be displayed is converted and processed to obtain a three-dimensional point cloud dataset of the historical building to be displayed, and a comprehensive analysis is performed to obtain the repair index of the historical building to be displayed, and a comprehensive analysis is performed with the environmental data of the historical building to be displayed to obtain the historical building health index of the historical building to be displayed; the historical background data and geographic location data of the historical building to be displayed are obtained, and the three-dimensional point cloud dataset, historical building health index, historical background data, geographic location data and comprehensive historical building image dataset of each collection position of the historical building to be displayed are input into the GIS platform for comprehensive analysis to obtain an interactive data panel and interactive display diagram of the historical building to be displayed, and the interactive display diagram of the historical building to be displayed is combined with the interactive data panel for interactive display.

[0006] A GIS-based historical building digital information collection and display system includes: an area division module, an acquisition and analysis module, a data acquisition module, a data fusion module, a data analysis module, and an interactive display module; the area division module is used to divide the historical buildings to be collected into regions, obtain a plurality of acquisition areas of a plurality of acquisition orientations of the historical buildings to be displayed, and obtain the acquisition equipment data of the historical buildings to be collected and the initial position coordinates of each acquisition area in each acquisition orientation; the acquisition and analysis module is used to perform a comprehensive analysis on the acquisition equipment data of the historical buildings to be collected and the initial position coordinates of each acquisition area in each acquisition orientation, and obtain the position coordinates of a plurality of acquisition positions of the acquisition equipment of the historical buildings to be collected in each acquisition area in each acquisition orientation; the data acquisition module is used to perform data acquisition based on the position coordinates of each acquisition position of each acquisition area of ​​each acquisition orientation of the acquisition equipment of the historical buildings to be displayed, and obtain the historical building image data of each acquisition position of each acquisition area of ​​each acquisition orientation of the historical buildings to be displayed; the data fusion module is used to perform a comprehensive analysis on the acquisition equipment data of the historical buildings to be collected and the initial position coordinates of each acquisition area in each acquisition orientation, and obtain the historical building image data of each acquisition position of each acquisition area of ​​each acquisition orientation of the historical buildings to be displayed The historical building image data of each collection position of each collection area of ​​each collection orientation of the historical building are fused and processed to obtain a comprehensive historical building image data set of each collection orientation of the historical building to be displayed, and the environmental data of the historical building to be displayed are obtained; the data analysis module is used to convert the comprehensive historical building image data set of each collection orientation of the historical building to be displayed to obtain a three-dimensional point cloud data set of the historical building to be displayed, and perform a comprehensive analysis to obtain a repair index of the historical building to be displayed, and perform a comprehensive analysis with the environmental data of the historical building to be displayed to obtain a historical building health index of the historical building to be displayed; the interactive display module is used to obtain the historical background data and geographical location data of the historical building to be displayed, and input the three-dimensional point cloud data set, historical building health index, historical background data, geographical location data and comprehensive historical building image data set of each collection orientation of the historical building to be displayed into the GIS platform for comprehensive analysis to obtain an interactive data panel and an interactive display diagram of the historical building to be displayed, and the interactive display diagram of the historical building to be displayed is combined with the interactive data panel for interactive display

[0007] The present invention has the following beneficial effects:

[0008] (1) This GIS-based method for collecting and displaying digital information of historical buildings ensures the comprehensiveness and accuracy of data collection by carefully dividing each collection direction and collection area. By collecting images at multiple locations in multiple directions and multiple areas, it can effectively avoid the omission of historical building image data. The fusion processing of image data further enhances the integrity of the collection results, providing an accurate basis for subsequent three-dimensional modeling and analysis, thereby improving the reliability and accuracy of the collection of digital information of historical buildings.

[0009] (2) This GIS-based method for collecting and displaying digital information of historical buildings can intuitively reflect the health status of historical buildings by generating a three-dimensional point cloud dataset of historical buildings and combining it with the calculation of repair index and health index. The comprehensive analysis of the repair index can provide managers with clear repair needs and priorities, and provide a scientific basis for the maintenance and repair of historical buildings. At the same time, the real-time update of the health index allows managers to grasp the health status of historical buildings in a timely manner, thereby ensuring the long-term stability of the buildings.

[0010] (3) This GIS-based method for collecting and displaying digital information of historical buildings makes the display of historical buildings more vivid and intuitive through the interactive data panels and interactive display diagrams generated by the GIS platform, and also enhances the interactivity of the display. Users can obtain detailed information of the buildings through the interactive interface and view data from different angles and dimensions, which helps to improve the public's understanding of historical buildings and further facilitates in-depth analysis and research.

[0011] (4) The GIS-based historical building digital information collection and display system displays and analyzes historical buildings from multiple dimensions through the combined application of data fusion modules and data analysis modules. Through the interactive analysis in the interactive display module, it can conveniently conduct health assessments of buildings and display repair areas, thereby improving the accuracy of historical building displays and helping to improve the level of visual display of historical buildings, so that users can intuitively understand the condition and value of buildings.

[0012] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 This is a flow chart of a GIS-based method for collecting and displaying digital information of historical buildings.

[0014] Figure 2 The present invention provides a flowchart of the steps of obtaining the historical building health index of the historical building to be displayed in a GIS-based historical building digital information collection and display method.

[0015] Figure 3 This is a block diagram of the GIS-based historical building digital information collection and display system of the present invention. DETAILED DESCRIPTION

[0016] The embodiment of the present application solves the problem that the existing technology fails to fully consider the multi-dimensional collection needs of historical buildings through a GIS-based historical building digital information collection and display method and system, which easily leads to insufficient expression of the spatial integrity and details of historical buildings, and thus makes it difficult to accurately reflect the overall appearance of the buildings. Secondly, the existing technology ignores the dynamic changes in the environmental data and repair needs of historical buildings, resulting in a lack of real-time integration and analysis of environmental factors, making it difficult to comprehensively evaluate the health status of buildings, thereby limiting the actual application effect of environmental factors in the protection and repair of historical buildings. Moreover, the existing technology does not combine historical background data, geographic location information and environmental changes to achieve a comprehensive display of historical buildings, which makes it difficult for managers to obtain comprehensive and intuitive analysis results, thereby affecting the scientific nature of the repair plan and the optimization of the construction progress.

[0017] The overall approach to the problems in the embodiments of this application is as follows:

[0018] First, the historical buildings to be collected are divided into regions to obtain several collection areas of several collection directions of the historical buildings to be collected. By obtaining the initial position coordinates of each collection area of ​​each collection direction and performing comprehensive analysis in combination with the collection equipment data, multiple collection positions of each collection area of ​​each collection direction of the historical buildings to be collected are obtained. Then, image data is collected based on each collection position of each collection area of ​​each collection direction of the historical buildings to be displayed, and the historical building image data are fused to generate a comprehensive historical building image dataset of each collection direction. In addition, environmental data is obtained in real time, and data conversion is performed on the comprehensive historical building image dataset of each collection direction to generate a three-dimensional point cloud dataset. The three-dimensional point cloud dataset is analyzed to obtain the repair index of the historical buildings to be displayed, and the health index of the historical buildings is analyzed in combination with the environmental data. The three-dimensional point cloud dataset, health index, historical background data, geographic location data and other information are input into the GIS platform for comprehensive analysis, and an interactive data panel and an interactive display map (two-dimensional and three-dimensional integrated map) are generated through the GIS platform for interactive display.

[0019] See also Figure 1, an embodiment of the present invention provides a technical solution: a method for collecting and displaying digital information of historical buildings based on GIS, comprising the following steps: dividing the historical buildings to be collected into regions (dividing each collection direction in order from left to right according to a preset distance), obtaining a plurality of collection areas of a plurality of collection directions of the historical buildings to be displayed (in this embodiment, the collection directions are respectively the front, top, back, left and right sides of the historical buildings to be displayed), and obtaining collection device data of the historical buildings to be collected and the initial position coordinates of each collection area in each collection direction; comprehensively analyzing the collection device data of the historical buildings to be collected and the initial position coordinates of each collection area in each collection direction, obtaining the position coordinates of a plurality of collection positions of the collection device of the historical buildings to be collected in each collection area in each collection direction; collecting data based on the position coordinates of each collection position of each collection area of ​​each collection direction of the collection device of the historical buildings to be displayed, and obtaining historical building image data of each collection position of each collection area of ​​each collection direction of the historical buildings to be displayed (in this embodiment, in order to obtain complete image data, multiple collection directions and multiple collection areas are selected and set). The method collects images of historical buildings at multiple collection positions in a collection area to ensure the integrity of the historical building images); fuses the historical building image data of each collection position in each collection area of ​​each collection position of the historical building to be displayed to obtain a comprehensive historical building image data set of each collection position of the historical building to be displayed, and obtains the environmental data of the historical building to be displayed; converts the comprehensive historical building image data set of each collection position of the historical building to be displayed to obtain a three-dimensional point cloud data set of the historical building to be displayed, and performs a comprehensive analysis to obtain a repair index of the historical building to be displayed, and performs a comprehensive analysis with the environmental data of the historical building to be displayed to obtain a historical building health index of the historical building to be displayed; obtains historical background data and geographic location data of the historical building to be displayed, and inputs the three-dimensional point cloud data set, historical building health index, historical background data, geographic location data and comprehensive historical building image data set of each collection position of the historical building to be displayed into the GIS platform for comprehensive analysis to obtain an interactive data panel and an interactive display diagram (i.e., a two-dimensional and three-dimensional integrated diagram) of the historical building to be displayed, and the interactive display diagram of the historical building to be displayed is combined with the interactive data panel for interactive display.

[0020] Among them, in this embodiment, the three-dimensional position coordinates (except the earth coordinate system) all use the center point of the historical building to be displayed as the origin of the three-dimensional position coordinate system, and the X-axis points along the horizontal direction of the building, that is, parallel to the main facade of the building, the Y-axis points along the longitudinal direction of the building, that is, parallel to the side of the building, and the Z-axis points in the vertical direction.

[0021] The initial position coordinates are the collection position coordinates on the boundary line of each collection area of ​​each collection orientation of the historical building to be displayed that has been divided.

[0022] The initial position coordinates are specifically the three-dimensional vertical position coordinate value of the device, the three-dimensional horizontal position coordinate value of the device, and the three-dimensional height position coordinate value of the device (that is, the X-axis coordinate value, Y-axis coordinate value, and Z-axis coordinate value of the initial position coordinates). The acquisition device data is specifically the width value and height value of the imaging sensor inside the acquisition device and the focal length value of the acquisition device. The historical building image data is specifically the pixel value of each pixel point in the historical building image and the corresponding two-dimensional position coordinates (the upper left corner of the historical building image is the origin of the two-dimensional position coordinate system, and the X-axis is the horizontal direction pointing to the image, and the Y-axis is the vertical direction pointing to the image). The two-dimensional position coordinates are specifically the two-dimensional horizontal position coordinate value and the two-dimensional vertical position coordinate value. The comprehensive historical building image data set is specifically the historical The regional pixel value of each acquisition orientation pixel point in the historical building image, the acquisition orientation comprehensive two-dimensional position coordinates, the acquisition orientation comprehensive two-dimensional position coordinates specifically include the acquisition orientation comprehensive two-dimensional horizontal coordinate value, the acquisition orientation comprehensive two-dimensional vertical coordinate value, the three-dimensional point cloud data set specifically includes the voxel value of each voxel point, the voxel three-dimensional horizontal coordinate value, the voxel three-dimensional vertical coordinate value, and the voxel three-dimensional height coordinate value; the environmental data specifically include the temperature difference value, humidity difference value, wind speed difference value, ultraviolet radiation value, and air pollutant concentration value; the historical background data specifically include the construction time, designer, historical repair event information, and historical use information; the geographic location data specifically include the longitude value, latitude value, and altitude value (earth coordinate system), that is, the three-dimensional position coordinates of the historical building.

[0023] The sensor width value is the actual physical width of the imaging sensor of the acquisition device (including but not limited to a camera), which is obtained through the device specification table of the acquisition device stored in the database.

[0024] The sensor height value is the actual physical height of the imaging sensor of the acquisition device (including but not limited to a camera), which is obtained through the device specification table of the acquisition device stored in the database.

[0025] The focal length value is the distance between the principal point of the lens of the acquisition device (or the optical center of the lens) and the imaging plane (such as the sensor or film), and is obtained from the device specification table of the acquisition device stored in the database.

[0026] The temperature difference value is the difference between the current temperature value and the reference temperature value, that is, the temperature difference value = the current temperature value - the reference temperature value at the corresponding moment.

[0027] The humidity difference value is the difference between the current humidity value and the reference humidity value, that is, the humidity difference value = the current humidity value - the reference humidity value at the corresponding moment.

[0028] The wind speed difference value is the difference between the current wind speed value and the reference wind speed value, that is, the humidity difference value = current wind speed value - reference wind speed value at the corresponding moment.

[0029] The ultraviolet radiation value is the intensity of ultraviolet rays, which is obtained by the ultraviolet radiation sensor.

[0030] The air pollutant concentration value is the sum of the sulfur dioxide concentration value, nitric oxide concentration value, nitrogen dioxide concentration value, and nitrous oxide concentration value in the air, that is, the air pollutant concentration value = sulfur dioxide concentration value + nitric oxide concentration value + nitrogen dioxide concentration value + nitrous oxide concentration value.

[0031] The historical renovation event information is the historical renovation record, including the renovation time, reason and method, which is obtained from the architectural documents stored in the database.

[0032] Historical use information refers to the original function and use of the building, which is obtained from the architectural documents stored in the database.

[0033] Specifically, the specific steps of obtaining the position coordinates of the collection device of the historical building to be collected at each collection position in each collection area are as follows: marking the initial position coordinates of each collection area of the historical building to be collected at each collection orientation as the first collection position; comprehensively analyzing the width value and height value of the internal imaging sensor of the collection device of the historical building to be collected and the focal length value of the collection device to obtain the horizontal field of view of the collection device of the historical building to be collected (i.e., the maximum angle that can be captured by the collection device in the horizontal direction), the vertical field of view (i.e., the maximum angle that can be captured by the collection device in the vertical direction); obtaining the initial target distance value of the collection device of the historical building to be collected at each collection area in each orientation, and respectively combining the horizontal field of view, the vertical field of view, the preset image overlap rate (in this embodiment, the image overlap rate is preset to 60%, i.e., after comparison and analysis of adjacent images obtained by the collection device, the overlap rate of adjacent images reaches 60%) of the collection device of the historical building to be collected, and the initial position coordinates and the initial target distance value of the collection device at each collection area in each orientation to obtain the horizontal deviation value, the vertical deviation value, and the height deviation value of the next collection position of the collection device of the historical building to be collected at each collection area in each orientation; and respectively predicting the initial position coordinates of the collection device of the historical building to be collected and the horizontal deviation value, the vertical deviation value, and the height deviation value of the next collection position at each collection area in each collection orientation to obtain the predicted collection position coordinates of the next collection position of the collection device of the historical building to be collected at each collection area in each collection orientation, i.e., the collection position coordinates of the second collection position, including the collection three-dimensional vertical position coordinate value, the collection three-dimensional horizontal position coordinate value, and the collection three-dimensional height position coordinate value; after obtaining the collection position coordinates of the second collection position of the collection device of the historical building to be collected at each collection area in each collection orientation, repeating the deviation analysis and prediction analysis steps until the collection position coordinates of the next collection position are within the preset adjacent collection area boundary range (i.e., within the preset distance interval of the coincident boundary line of adjacent collection areas, and the coincident boundary line is the coincident terminal boundary line and starting boundary line of adjacent collection areas, for example, the terminal boundary line of the starting boundary line of the first collection area coincides with the starting boundary line of the second collection area).

[0034] wherein the initial target distance is the distance from the collection device at the initial position to the collection area, which is obtained by measuring the distance of the range finder stored in the database, i.e., directly measuring using the range finder and storing the output result in the database.

[0035] The horizontal deviation value, vertical deviation value, and height deviation value of the next collection position of the collection equipment of the historical building to be collected in each collection area in each orientation are specifically the difference in the coordinate values ​​of the adjacent collection positions in the horizontal direction (X-axis direction), the difference in the coordinate values ​​in the vertical direction (Y-axis direction), and the difference in the coordinate values ​​in the height direction (Z-axis direction).

[0036] The specific formulas for calculating the horizontal field of view angle, vertical field of view angle, horizontal deviation value and height deviation value of each acquisition area in each acquisition orientation, and the acquisition three-dimensional vertical position coordinate value and acquisition three-dimensional height position coordinate value of the acquisition equipment of the historical building to be acquired are as follows: Wherein, SpC is the horizontal field of view of the acquisition equipment of the historical building to be collected, is the scale factor stored in the database, which is 2 in this embodiment, CgK is the width of the imaging sensor inside the acquisition device of the historical building to be collected, JpA is the focal length of the acquisition device of the historical building to be collected, CzG is the vertical field of view of the acquisition device of the historical building to be collected, CgD is the height of the imaging sensor inside the acquisition device of the historical building to be collected, SpY id MbJ is the horizontal offset value of the next acquisition position of the acquisition equipment of the historical building to be acquired in the d-th acquisition area at the i-th acquisition orientation, id is the initial target distance value of the next acquisition position of the acquisition device of the historical building to be acquired in the d-th acquisition area at the i-th acquisition orientation, CfL is the preset image overlap rate of the acquisition device of the historical building to be acquired, GpY id SpZ is the height offset value of the next acquisition position of the acquisition equipment of the historical building to be acquired in the d-th acquisition area at the i-th acquisition orientation, id CzS is the three-dimensional horizontal position coordinate value of the next acquisition position of the acquisition equipment of the historical building to be acquired in the d-th acquisition area at the i-th acquisition orientation, id GdZ is the initial horizontal position coordinate value of the acquisition equipment of the historical building to be acquired in the dth acquisition area at the i-th acquisition orientation, id CzG is the three-dimensional height position coordinate value of the next acquisition position of the acquisition equipment of the historical building to be acquired in the d-th acquisition area at the i-th acquisition orientation, id is the initial height position coordinate value of the collection equipment of the historical building to be collected in the dth collection area at the i-th collection direction, i = 1, 2, 3, ..., i0, i0 is the number of collection directions, d = 1, 2, 3, ..., d0, d0 is the number of collection areas.

[0037] It should be explained that the vertical deviation value and the horizontal deviation value of the next collection position of each collection area in each collection orientation of the collection equipment of the historical building to be collected are calculated in the same logic and the calculation formula is also the same.

[0038] The calculation logic and formula of the three-dimensional vertical position coordinate value and the three-dimensional horizontal position coordinate value of the next collection position of each collection area in each collection orientation of the collection device of the historical building to be collected are consistent.

[0039] In this embodiment, by calculating the horizontal and vertical field of view angles and combining them with the preset image overlap rate, it is ensured that there is sufficient overlap between adjacent collection points, thereby avoiding collection blind spots, thereby comprehensively covering every detail of the historical building and improving the integrity and accuracy of the data. At the same time, based on the comprehensive analysis of the initial target distance, offset value and field of view angle, the movement path of the collection equipment can be reasonably planned and the collection efficiency can be significantly improved. Secondly, maintaining a certain image overlap rate between each collection point is conducive to subsequent image stitching and three-dimensional reconstruction, thereby reducing stitching errors and improving the accuracy of the building digital model. In addition, the formula-based calculation of the collection position provides a basis for automated data collection, reduces the necessity of manual intervention, reduces the complexity of operation, and reduces the possibility of human error. Finally, the method adjusts the collection parameters (such as overlap rate, target distance, etc.) according to actual conditions, so as to flexibly respond to the collection needs of buildings of different scales and complexities, and has strong applicability.

[0040] Specifically, the specific steps of obtaining the comprehensive historical building image data set of each collection position of the historical building to be displayed are as follows: obtaining the midpoint two-dimensional position coordinates of each collection position of the historical building to be displayed, the horizontal resolution, the vertical resolution of the collection device, and the collection target distance value at each collection position of each collection area of each collection position, and the depth information value of each pixel point; based on the midpoint two-dimensional position coordinates of each collection position of the historical building to be displayed, a corresponding collection position two-dimensional coordinate system is established (with the midpoint two-dimensional position coordinates of the historical building to be displayed as the origin, the X-axis as the horizontal right, and the Y-axis as the vertical downward); the width and height values of the imaging sensor inside the collection device of the historical building to be displayed, the focal length value of the collection device, the horizontal resolution, the vertical resolution of the collection device of the historical building to be displayed, and the collection target distance value at each collection position of each collection area of each collection position are respectively analyzed with the two-dimensional position coordinates of each pixel point in the corresponding historical building image to obtain the comprehensive two-dimensional position coordinates of each pixel point (in the unified collection position two-dimensional coordinate system) in the historical building image of each collection area of each collection position of the historical building to be displayed, including the comprehensive two-dimensional horizontal coordinate value and the comprehensive two-dimensional vertical coordinate value; and the comprehensive two-dimensional position coordinates of each pixel point in the historical building image of each collection position of each collection area of each collection position of the historical building to be displayed are analyzed to obtain a plurality of overlapping pixel points and a plurality of non-overlapping pixel points in the historical building image of each collection position of the historical building to be displayed; the pixel value and the depth information value of each overlapping pixel point in the historical building image of each collection position of the historical building to be displayed are read and analyzed by mean value to obtain the comprehensive pixel value and the comprehensive depth information value of each overlapping pixel point in the historical building image of each collection position of the historical building to be displayed; the comprehensive pixel value, the comprehensive two-dimensional position coordinates, and the comprehensive depth information value of each overlapping pixel point in the historical building image of each collection position of the historical building to be displayed, and the pixel value, the comprehensive two-dimensional position coordinates, and the depth information value of each non-overlapping pixel point are marked as the comprehensive pixel value, the collection position comprehensive two-dimensional position coordinates, and the collection position comprehensive depth information value of each collection position pixel point in the historical building image of each collection position of the historical building to be displayed, that is, the comprehensive historical building image data set.

[0041] The midpoint position two-dimensional position coordinate acquisition process is: obtaining the building length value and the building width value of each collection direction of the historical building, and performing mean value calculation to obtain the length mean value and the width mean value of each collection direction of the historical building, and corresponding marking as the midpoint two-dimensional horizontal position coordinate value and the midpoint two-dimensional vertical position coordinate value, and the building length value and the building width value of each collection direction of the historical building are obtained through the measurement result of the range finder stored in the database, that is, directly measuring by using the range finder, and storing the output result in the database.

[0042] The horizontal resolution is the number of pixels that the collection device can capture in the horizontal direction, which is obtained through the device specification table of the collection device stored in the database.

[0043] The vertical resolution is the number of pixels that the collection device can capture in the vertical direction, which is obtained through the device specification table of the collection device stored in the database.

[0044] The collection target distance value is the distance from the collection position to the collection area of the collection device, which is obtained through the measurement distance of the range finder stored in the database, that is, directly measuring by using the range finder, and storing the output result in the database.

[0045] The specific formula for calculating the comprehensive two-dimensional horizontal coordinate value and the comprehensive two-dimensional vertical coordinate value of each pixel point in the historical building image of each collection position of each collection area of each collection direction of the historical building to be displayed is as follows: wherein ZhS idmj is the comprehensive two-dimensional horizontal coordinate value of the jth pixel point in the historical building image of the mth collection position of the dth collection area of the ith collection direction of the historical building to be displayed, CsP idmj is the two-dimensional horizontal position coordinate value of the jth pixel point in the historical building image of the mth collection position of the dth collection area of the ith collection direction of the historical building to be displayed, SpF is the horizontal resolution of the collection device of the historical building to be displayed, is the scale factor stored in the database, which is 2 in the present embodiment, CgK is the width value of the internal imaging sensor of the collection device of the historical building to be displayed, DcL idm is the collection target distance value of the mth collection position of the dth collection area of the ith collection direction of the collection device of the historical building to be displayed, JpA is the focal length value of the collection device of the historical building to be displayed, ZhC idmj is the comprehensive two-dimensional vertical coordinate value of the jth pixel point in the historical building image of the mth collection position of the dth collection area of the ith collection direction of the historical building to be displayed, CsZ idmjis the two-dimensional vertical position coordinate value of the jth pixel point in the historical building image at the mth collection position of the dth collection area of ​​the i-th collection orientation of the historical building to be displayed, CzF is the vertical resolution of the collection equipment of the historical building to be displayed, CgD is the height value of the imaging sensor inside the collection equipment of the historical building to be displayed, i = 1, 2, 3, ..., i0, i0 is the number of collection orientations, d = 1, 2, 3, ..., d0, d0 is the number of collection areas, m = 1, 2, 3, ..., m0, m0 is the number of collection positions, j = 1, 2, 3, ..., j0, j0 is the number of pixels.

[0046] In this implementation, a unified two-dimensional position coordinate system for each acquisition position is established, thereby ensuring the uniformity of data across multiple locations and acquisition areas, eliminating coordinate inconsistencies caused by different acquisition positions, and providing a reliable foundation for subsequent data analysis and processing. Secondly, by utilizing device parameters and acquisition position depth information, a comprehensive analysis is performed on pixels in multiple acquisition areas to achieve a fusion of pixel values, depth information values, etc., and a mean analysis is performed on overlapping pixels, which can improve the accuracy and reliability of the data. Furthermore, by analyzing the overlapping and non-overlapping characteristics of each pixel, the spatial distribution information of multiple acquisition positions can be fully explored, thereby ensuring that the information of key pixels is retained and optimized, thereby improving the display effect and detail expression of historical building data. The combination of comprehensive two-dimensional coordinate values ​​and depth information values ​​gives the generated historical building image dataset a certain three-dimensional representation capability, providing a solid basic data support for the subsequent establishment of 3D models or augmented reality displays. Finally, various parameters (such as length, width, resolution, acquisition target distance, etc.) are clearly derived from the measurement equipment data stored in the database, thus ensuring the reliability and traceability of the data.

[0047] Specifically, the specific steps of obtaining the three-dimensional point cloud data set of the historical building to be displayed are as follows: read the comprehensive two-dimensional horizontal coordinate value of the acquisition orientation of each pixel point in the historical building image of each acquisition orientation of the historical building to be displayed, the comprehensive two-dimensional vertical coordinate value of the acquisition orientation, and the comprehensive depth information value of the acquisition orientation, and analyze them to obtain the three-dimensional horizontal coordinate value, three-dimensional vertical coordinate value, and three-dimensional height coordinate value of each pixel point in the historical building image of each acquisition orientation of the historical building to be displayed; establish a comprehensive voxel grid based on the three-dimensional horizontal coordinate value, three-dimensional vertical coordinate value, and three-dimensional height coordinate value of each pixel point in the historical building image of each acquisition orientation of the historical building to be displayed, and divide it based on the preset grid side length to obtain a number of voxel grids of the historical building to be displayed; treat each acquisition orientation of the historical building to be displayed The three-dimensional horizontal coordinate value, three-dimensional vertical coordinate value, and three-dimensional height coordinate value of each acquisition orientation pixel point in the orientation are comprehensively analyzed with the preset grid side length to obtain several acquisition orientation pixel points of each voxel grid of the historical building to be displayed; and the acquisition orientation comprehensive pixel value, acquisition orientation comprehensive two-dimensional horizontal coordinate value, acquisition orientation comprehensive two-dimensional vertical coordinate value, and acquisition orientation comprehensive depth information value of each acquisition orientation pixel point of each voxel grid of the historical building to be displayed are respectively averaged and analyzed to obtain the voxel value, voxel three-dimensional horizontal coordinate value, voxel three-dimensional vertical coordinate value, and voxel three-dimensional height coordinate value of each voxel grid of the historical building to be displayed, and marked as the voxel value, voxel three-dimensional horizontal coordinate value, voxel three-dimensional vertical coordinate value, and voxel three-dimensional height coordinate value of each voxel point of the historical building to be displayed, that is, the three-dimensional point cloud dataset.

[0048] Among them, the specific process of obtaining several acquisition orientation pixel points of each voxel grid of the historical building to be displayed is: comprehensively analyzing the three-dimensional horizontal coordinate value, three-dimensional vertical coordinate value, three-dimensional height coordinate value of each acquisition orientation pixel point of each acquisition orientation of the historical building to be displayed with the preset grid side length, and obtaining the row index, column index, and layer index of each acquisition orientation pixel point of each acquisition orientation of the historical building to be displayed for the comprehensive voxel grid, and combining statistical analysis to obtain several acquisition orientation pixel points of each voxel grid of the historical building to be displayed.

[0049] In this implementation, the three-dimensional coordinate values ​​of the voxel points are calculated by integrating the two-dimensional coordinate values ​​and the depth information values, and the spatial geometric characteristics of the historical buildings are accurately restored, thereby providing high-quality basic data for 3D reconstruction. Secondly, by establishing a comprehensive voxel grid and dividing it with a preset grid side length, the original point cloud data is unified into a regular grid form, which is convenient for subsequent analysis, processing and storage, and can reduce redundant data and improve computing efficiency. Secondly, the overlapping points of multiple acquisition orientations are averaged within the voxel grid to generate a comprehensive value for each voxel, thereby integrating data collected from multiple angles and multiple positions, reducing the error caused by a single acquisition perspective, and thus improving The accuracy and reliability of voxel data are improved, and by performing statistical analysis and mean processing on the collection positions within the voxel grid, the influence of random errors and noise points on the three-dimensional point cloud data is eliminated, thereby improving the overall quality of the data. Finally, the gridded point cloud data is easier to visualize and operate. For example, in virtual reality (VR) or augmented reality (AR) applications, rendering or interaction can be directly based on regular grids, which improves the display effect and user experience. In addition, the regularized voxel point cloud method can accurately express complex historical buildings. Whether it is a small cultural relic or a large building complex, it can be flexibly adapted by adjusting the grid side length and data resolution.

[0050] Specifically, if Figure 2 As shown, the specific steps for obtaining the historical building health index of the historical building to be displayed are as follows: comprehensively analyze the voxel value of each voxel point of the historical building to be displayed to obtain several repair areas of the historical building to be displayed, and conduct comprehensive analysis to obtain the repair index of the historical building to be displayed; standardize the temperature difference value, humidity difference value, wind speed difference value, ultraviolet radiation value, and air pollutant concentration value of the historical building to be displayed; comprehensively analyze the standardized temperature difference value, humidity difference value, wind speed difference value, ultraviolet radiation value, and air pollutant concentration value of the historical building to be displayed to obtain the environmental correction index of the historical building to be displayed; comprehensively analyze the repair index and environmental correction index of the historical building to be displayed to obtain the historical building health index of the historical building to be displayed.

[0051] The specific formulas for calculating the environmental correction index and the health index of historical buildings to be displayed are as follows:

[0052]

[0053] Wherein, HjX is the environmental correction index of the historical building to be displayed, XdW′ is the temperature difference value of the historical building to be displayed after standardization, α1 is the temperature coefficient stored in the database, XdS′ is the humidity difference value of the historical building to be displayed after standardization, α2 is the humidity coefficient stored in the database, XdF′ is the wind speed difference value of the historical building to be displayed after standardization, α3 is the wind speed coefficient stored in the database, ZxW′ is the ultraviolet radiation value of the historical building to be displayed after standardization, α4 ​​is the radiation coefficient stored in the database, KqW′ is the air pollutant concentration value of the historical building to be displayed after standardization, α5 is the pollution coefficient stored in the database, and α1+α2+α3+α4+α5=1, LzJ is the historical building health index of the historical building to be displayed, XsZ is the repair index of the historical building to be displayed, β1 is the repair coefficient stored in the database, β2 is the environmental coefficient stored in the database, and e is a natural constant, which is taken as 2.713 in this implementation example.

[0054] It needs to be explained that the specific acquisition process of α1, α2, α3, α4, and α5 is: read the temperature difference values, humidity difference values, wind speed difference values, ultraviolet radiation values, and air pollutant concentration values ​​of the historical buildings to be displayed after standardization, and perform sum analysis to obtain the environmental sum values ​​of the historical buildings to be displayed after standardization, and perform proportion analysis on the relative temperature, relative humidity, relative wind speed, ultraviolet radiation, and air pollutant concentration of the historical buildings to be displayed after standardization with the environmental sum values, and use the proportion analysis results as the corresponding coefficients.

[0055] The specific acquisition process of β1 and β2 is as follows: read the repair index and correction index of the historical building to be displayed, and perform sum analysis to obtain the health and value of the historical building to be displayed; perform a ratio analysis on the repair index and correction index of the historical building to be displayed and the health and value respectively, and use the ratio analysis results as the corresponding coefficients.

[0056] The following table shows an example of the calculation data for the historical building health index of the historical buildings to be displayed:

[0057] Table 1 Example of calculation data for the historical building health index of the historical buildings to be displayed

[0058]

[0059]

[0060] In the table, XdW′ is the temperature difference value of the historical building to be displayed after standardization, XdS′ is the humidity difference value of the historical building to be displayed after standardization, XdF′ is the wind speed difference value of the historical building to be displayed after standardization, ZxW′ is the ultraviolet radiation value of the historical building to be displayed after standardization, KqW′ is the air pollutant concentration value of the historical building to be displayed after standardization, α2 is the humidity coefficient stored in the database, α1 is the temperature coefficient stored in the database, α3 is the wind speed coefficient stored in the database, α4 is the radiation coefficient stored in the database, α5 is the pollution coefficient stored in the database, e is a natural constant, HjX is the environmental correction index of the historical building to be displayed, XsZ is the repair index of the historical building to be displayed, β1 is the repair coefficient stored in the database, β2 is the environmental coefficient stored in the database, and LzJ is the historical building health index of the historical building to be displayed.

[0061] The first set of data: The temperature difference value of the historical buildings to be displayed after standardization is approximately: 0.351; the humidity difference value of the historical buildings to be displayed after standardization is approximately: 0.152; the wind speed difference value of the historical buildings to be displayed after standardization is approximately: 0.219; the ultraviolet radiation value of the historical buildings to be displayed after standardization is approximately: 0.351; the air pollutant concentration value of the historical buildings to be displayed after standardization is approximately: 0.182; the temperature coefficient stored in the database is approximately: 0.312; the humidity coefficient stored in the database is approximately: : 0.243; the wind speed coefficient stored in the database is approximately: 0.121; the radiation coefficient stored in the database is approximately: 0.181; the pollution coefficient stored in the database is approximately: 0.23; the environmental correction index of the historical buildings to be displayed is approximately: 0.091; the natural constant is approximately: 2.731; the renovation index of the historical buildings to be displayed is approximately: 0.261; the renovation coefficient stored in the database is approximately: 0.731; the environmental coefficient stored in the database is approximately: 0.269; the historical building health index of the historical buildings to be displayed is approximately: 1.544.

[0062] The second group of data: the temperature difference value of the standardized historical building to be displayed is about 0.246; the humidity difference value of the standardized historical building to be displayed is about 0.274; the wind speed difference value of the standardized historical building to be displayed is about 0.166; the ultraviolet radiation value of the standardized historical building to be displayed is about 0.224; the air pollutant concentration value of the standardized historical building to be displayed is about 0.163; the temperature coefficient stored in the database is about 0.312; the humidity coefficient stored in the database is about 0.243; the wind speed coefficient stored in the database is about 0.121; the radiation coefficient stored in the database is about 0.181; the pollution coefficient stored in the database is about 0.23; the natural constant is about 2.731; the environment correction index of the historical building to be displayed is about 0.082; the repair index of the historical building to be displayed is about 0.196; the repair coefficient stored in the database is about 0.731; the environment coefficient stored in the database is about 0.269; the historical building health index of the historical building to be displayed is about 1.715.

[0063] The third group of data: the temperature difference value of the standardized historical building to be displayed is about 0.562; the humidity difference value of the standardized historical building to be displayed is about 0.186; the wind speed difference value of the standardized historical building to be displayed is about 0.225; the ultraviolet radiation value of the standardized historical building to be displayed is about 0.241; the air pollutant concentration value of the standardized historical building to be displayed is about 0.262; the temperature coefficient stored in the database is about 0.312; the humidity coefficient stored in the database is about 0.243; the wind speed coefficient stored in the database is about 0.121; the radiation coefficient stored in the database is about 0.181; the pollution coefficient stored in the database is about 0.23; the natural constant is about 2.731; the environment correction index of the historical building to be displayed is about 0.122; the repair index of the historical building to be displayed is about 0.285; the repair coefficient stored in the database is about 0.731; the environment coefficient stored in the database is about 0.269; the historical building health index of the historical building to be displayed is about 1.461.

[0064] The fourth set of data: The temperature difference value of the historical buildings to be displayed after standardization is approximately: 0.414; the humidity difference value of the historical buildings to be displayed after standardization is approximately: 0.168; the wind speed difference value of the historical buildings to be displayed after standardization is approximately: 0.198; the ultraviolet radiation value of the historical buildings to be displayed after standardization is approximately: 0.253; the air pollutant concentration value of the historical buildings to be displayed after standardization is approximately: 0.274; the temperature coefficient stored in the database is approximately: 0.312; the humidity coefficient stored in the database is approximately : 0.243; the wind speed coefficient stored in the database is approximately: 0.121; the radiation coefficient stored in the database is approximately: 0.181; the pollution coefficient stored in the database is approximately: 0.23; the natural constant is approximately: 2.731; the environmental correction index of the historical buildings to be displayed is approximately: 0.104; the renovation index of the historical buildings to be displayed is approximately: 0.256; the renovation coefficient stored in the database is approximately: 0.731; the environmental coefficient stored in the database is approximately: 0.269; the historical building health index of the historical buildings to be displayed is approximately: 1.541.

[0065] The fifth set of data: The temperature difference value of the historical buildings to be displayed after standardization is approximately: 0.348; the humidity difference value of the historical buildings to be displayed after standardization is approximately: 0.226; the wind speed difference value of the historical buildings to be displayed after standardization is approximately: 0.242; the ultraviolet radiation value of the historical buildings to be displayed after standardization is approximately: 0.271; the air pollutant concentration value of the historical buildings to be displayed after standardization is approximately: 0.198; the temperature coefficient stored in the database is approximately: 0.312; the humidity coefficient stored in the database is approximately : 0.243; the wind speed coefficient stored in the database is approximately: 0.121; the radiation coefficient stored in the database is approximately: 0.181; the pollution coefficient stored in the database is approximately: 0.23; the natural constant is approximately: 2.731; the environmental correction index of the historical buildings to be displayed is approximately: 0.096; the renovation index of the historical buildings to be displayed is approximately: 0.234; the renovation coefficient stored in the database is approximately: 0.731; the environmental coefficient stored in the database is approximately: 0.269; the historical building health index of the historical buildings to be displayed is approximately: 1.594.

[0066] The specific process of obtaining the repair index of the historical building to be displayed is as follows: grayscale processing is performed on the voxel value of each voxel point of the historical building to be displayed to obtain the grayscale voxel value of each voxel point of the historical building to be displayed, and recognition analysis is performed to obtain several potential repair voxel points of the historical building to be displayed, and the grayscale voxel value of each potential repair voxel point of the historical building to be displayed is analyzed in combination with the local binary method to obtain several repair pixel points of the historical building to be displayed, and then connected domain analysis is performed to generate several repair areas of the historical building to be displayed, and Harris corner detection is combined to analyze each repair area of ​​the historical building to be displayed to obtain several repair pixel corner points (i.e., inflection points) of each repair area of ​​the historical building to be displayed, and the historical building to be displayed is analyzed. The voxel three-dimensional horizontal coordinate value, voxel three-dimensional vertical coordinate value, and voxel three-dimensional height coordinate value of each repair pixel corner point of each repair area of ​​the historical building to be displayed are analyzed to obtain the coordinate vector of each repair pixel corner point of each repair area of ​​the historical building to be displayed, and a comprehensive analysis is performed to obtain the regional volume of each repair area of ​​the historical building to be displayed, and the grayscale voxel value of each voxel point in each repair area of ​​the historical building to be displayed is analyzed to obtain the damage complexity index of the historical building to be displayed, and the regional volume and damage complexity index of each repair area of ​​the historical building to be displayed are normalized, and the normalized regional volume and damage complexity index of each repair area of ​​the historical building to be displayed are comprehensively analyzed to obtain the repair index of the historical building to be displayed.

[0067] The specific formulas for calculating the regional volume, damage complexity index, and repair index of each repair area of ​​the historical building to be displayed are as follows:

[0068] Among them, QyM f is the volume of the fth repaired area of ​​the historical building to be displayed, υ is the correction factor stored in the database, which is 1 / 6 in this embodiment, ZbL fg is the coordinate vector of the gth repair pixel corner point of the fth repair area of ​​the historical building to be displayed, ZbL f ( g+1 ) is the coordinate vector of the g+1th repair pixel corner point of the fth repair area of ​​the historical building to be displayed, ZbL f ( g+2 ) is the coordinate vector of the g+2th repair pixel corner point of the fth repair area of ​​the historical building to be displayed, ShF f is the damage complexity index of the fth repair area of ​​the historic building to be displayed, XhD fnis the grayscale pixel value of the nth repair pixel point in the fth repair area of ​​the historical building to be displayed, XsZ is the repair index of the historical building to be displayed, QyM′ is the normalized regional volume of the fth repair area of ​​the historical building to be displayed, δ1 is the volume coefficient stored in the database, ShF f ′ is the damage complexity index of the f-th repaired area of ​​the historical building to be displayed after normalization, δ2 is the complexity coefficient stored in the database, and δ1+δ2=1, f=1,2,3,…,f0, f0 is the number of repaired areas, g=1,2,3,…,g0, g0 is the number of repaired pixel corners, and n=1,2,3,…,n0, n0 is the number of repaired pixels.

[0069] It needs to be explained that the specific acquisition process of δ1 and δ2 is: reading the regional volume and damage complexity index of each repair area of ​​the historical building to be displayed after normalization, and performing mean analysis to obtain the regional volume mean and damage complexity index mean of the historical building to be displayed, and performing sum analysis to obtain the repair sum value of the historical building to be displayed, and performing proportion analysis on the regional volume mean and damage complexity index mean of the historical building to be displayed and the repair sum value, and using the proportion analysis results as the corresponding coefficients.

[0070] In this implementation plan, by comprehensively analyzing multi-dimensional data such as voxel values, grayscale values, environmental parameters and repair parameters, the calculation results of the historical building health index are ensured to be comprehensive and accurate, providing a scientific basis for building protection. The repair area and its key corner points are automatically identified through voxel value grayscale processing, local binary method and connected domain analysis, thereby improving the efficiency of repair area positioning. At the same time, the repair needs are dynamically evaluated according to the repair index and environmental correction index to achieve accurate allocation of resources, avoid excessive or insufficient repairs, and save manpower and material costs. Secondly, the temperature difference value, humidity difference value, wind speed difference value, ultraviolet radiation value and air pollutant concentration are standardized to calculate the correction index, so as to make up for the shortcomings of simple building data analysis and improve the scientific nature of the protection strategy. Finally, the historical building health index is combined with the environmental correction index and the repair index to provide a reliable indicator for dynamic health monitoring of buildings, timely discover potential risks, and ensure the safety and durability of buildings.

[0071] Specifically, the specific steps for obtaining the interactive data panel and interactive display diagram of the historical buildings to be displayed are as follows: respectively convert the data format of the three-dimensional point cloud dataset of the historical buildings to be displayed, the historical building health index, the historical background data, the geographic location data, and the comprehensive historical building image dataset of each acquisition orientation; import the converted three-dimensional point cloud dataset of the historical buildings to be displayed, the historical building health index, the historical background data, the geographic location data, and the comprehensive historical building image dataset of each acquisition orientation into a new project in the GIS platform, and set the spatial coordinate system (i.e., the global geodetic coordinate reference WGS84); based on the spatial coordinate system, the three-dimensional horizontal coordinate value, the three-dimensional vertical coordinate value, the three-dimensional height coordinate value of the voxel in the three-dimensional point cloud dataset of the historical buildings to be displayed and the comprehensive historical building image dataset of each acquisition orientation are converted into the new project in the GIS platform, and the spatial coordinate system is set (i.e., the global geodetic coordinate reference WGS84); based on the spatial coordinate system, the three-dimensional horizontal coordinate value, the three-dimensional vertical coordinate value, the three-dimensional height coordinate value of the voxel in the three-dimensional point cloud dataset of the historical buildings to be displayed and the comprehensive historical building image dataset of each acquisition orientation are converted into the new project in the GIS platform The comprehensive two-dimensional position coordinates of the collection orientation are respectively converted; and a three-dimensional model of the historical building to be displayed is established based on the voxel three-dimensional horizontal coordinate value, voxel three-dimensional vertical coordinate value, and voxel three-dimensional height coordinate value of each voxel point in the three-dimensional point cloud data set of the historical building to be displayed after the coordinate conversion; the historical building health index, construction time, designer, historical repair event information, and historical use information of the historical building to be displayed are respectively marked as health data labels, construction time data labels, designer data labels, historical repair event information data labels, and historical use information data labels of the three-dimensional model of the historical building to be displayed, and an interactive data panel is established; and the voxel points in the three-dimensional model of the historical building to be displayed are interactively linked with the collection orientation pixel points in the comprehensive historical building image data set of the corresponding collection orientation to obtain an interactive display map of the historical building to be displayed.

[0072] The specific process of data format conversion is as follows: convert the format of the three-dimensional point cloud dataset that displays historical buildings and unify it into a format recognizable by the GIS platform (such as LAS, XYZ, etc.); standardize the historical building health index, historical background data, and geographic location data to match them with the database fields of the GIS platform; for the comprehensive historical building image dataset of each collection location, convert the image format (such as JPG, TIFF) into a format that supports spatial information (such as GeoTIFF) to ensure that the image carries spatial coordinate information; import all converted data files into a new project on the GIS platform, and set the global geodetic coordinate reference system (WGS84) as the spatial coordinate system to ensure the consistency of the coordinate system of each dataset.

[0073] The specific process of establishing an interactive data panel is as follows: create a data selection panel that allows users to select the type of data they want to view (health index, construction time, designer, repair events, historical use information, etc.), use a drop-down menu or button to let users select the data type, and update the panel content according to the selected data type.

[0074] The specific process of interactive linking is as follows: for each voxel point in the three-dimensional model of the historical building, find its corresponding acquisition orientation pixel point in the comprehensive historical building image data set, match the position of each voxel point with the pixel coordinates in the image data through spatial coordinate mapping, and use the interactive function of the GIS platform to achieve a two-way association between voxel points and pixel points, so that when a voxel point in the three-dimensional model of the historical building is clicked, the details of the corresponding acquisition orientation image can be directly displayed. Global matching is performed on all voxel points and image data, and a multi-dimensional interactive link between the three-dimensional model and the acquisition orientation image data is established to ensure the coordination between the building model and the image display.

[0075] In this implementation, by converting and uniformly processing the formats of different data sources, effective multi-source data integration is achieved, thereby ensuring data consistency and interoperability, which in turn helps to comprehensively present various types of information about historical buildings and enhance the use value of the data. Secondly, the GIS platform is used to combine the 3D point cloud data and image data of historical buildings. The spatial coordinate system (such as WGS84) is used to ensure coordinate consistency, providing more accurate and intuitive architectural visualization effects. Through 3D modeling, the structure and spatial relationships of the building can be clearly displayed, providing important support for scenarios such as renovation, research, or education. In addition, by establishing an interactive data panel, users can easily select and view different types of data, such as health index, construction time, designer, historical renovation event information, and historical use information, thereby increasing data accessibility and helping users quickly understand the historical background and current status of the building, thereby making more effective decisions. Finally, through coordinate conversion and spatial mapping, accurate matching between 3D point cloud data and image data is achieved. When viewing the 3D model of the building, users can quickly display the corresponding image details by clicking on the voxel point, allowing users to deeply understand every detail of the building and better assist in analysis and renovation planning.

[0076] Specifically, the specific steps of interactively displaying the interactive display diagram of the historical building to be displayed in combination with the interactive data panel are as follows: read the interactive data panel of the historical building to be displayed, and establish an interactive link with the interactive display diagram in combination with Web technology; use ray casting technology to obtain the data label of the clicked interactive data panel, and display the corresponding interactive display diagram of the historical building to be displayed based on the data label of the clicked interactive data panel.

[0077] Web technology is a collection of technologies used to develop and present web applications and web pages, providing the ability to build interactive data panels and interact with users.

[0078] Ray casting technology is the interaction between a virtual ray and a 3D object. The ray is emitted from a certain point (usually the location of the mouse click or the observer's location) along a specific direction. Through ray casting technology, the user's click location can be detected and the object with which the interaction occurred can be determined. It is used to update the interactive data panel to display the specific properties of the part (such as building health index, historical repair information, etc.).

[0079] In this embodiment, by combining the interactive data panel with the interactive display diagram, users can interact with the three-dimensional model of the building directly by clicking on the data labels on the interface, so that users can explore and obtain information more actively, improve the user experience, and enable them to easily obtain specific information of interest (such as health index, repair history, etc.). Secondly, combined with ray projection technology, by clicking on the information label on the interactive data panel, the detailed image of the corresponding building three-dimensional model part is automatically displayed, so that complex building data can be presented in an intuitive and interactive manner, enhancing the visualization effect of the data, and thus helping users to better understand the specific conditions of various parts of the building. Finally, the combination of ray projection technology and the interactive data panel allows users to view the three-dimensional model of a specific area. The data panel can instantly update and display relevant information of the area, thereby ensuring the timeliness and accuracy of the data and enhancing the response speed and flexibility of the decision support system.

[0080] See also Figure 3, the embodiment of the present invention provides a technical solution: a GIS-based historical building digital information collection and display system, comprising: an area division module, an acquisition analysis module, a data acquisition module, a data fusion module, a data analysis module, and an interactive display module; the area division module is used to divide the historical buildings to be collected into regions, obtain a plurality of acquisition areas of a plurality of acquisition orientations of the historical buildings to be displayed, and obtain the acquisition equipment data of the historical buildings to be collected and the initial position coordinates of each acquisition area in each acquisition orientation; the acquisition analysis module is used to perform a comprehensive analysis on the acquisition equipment data of the historical buildings to be collected and the initial position coordinates of each acquisition area in each acquisition orientation, and obtain the position coordinates of a plurality of acquisition positions of the acquisition equipment of the historical buildings to be collected in each acquisition area in each acquisition orientation; the data acquisition module is used to perform data acquisition based on the position coordinates of each acquisition position of each acquisition area of ​​each acquisition orientation of the acquisition equipment of the historical buildings to be displayed, and obtain the historical building image data of each acquisition position of each acquisition area of ​​each acquisition orientation of the historical buildings to be displayed; the data fusion module is used to perform data acquisition based on the position coordinates of each acquisition position of each acquisition area of ​​each acquisition orientation of the historical buildings to be displayed The system is used to fuse the historical building image data of each collection position of each collection area of ​​each collection orientation of the historical building to be displayed, obtain a comprehensive historical building image data set of each collection orientation of the historical building to be displayed, and obtain the environmental data of the historical building to be displayed; the data analysis module is used to convert the comprehensive historical building image data set of each collection orientation of the historical building to be displayed, obtain a three-dimensional point cloud data set of the historical building to be displayed, and conduct a comprehensive analysis to obtain the repair index of the historical building to be displayed, and conduct a comprehensive analysis with the environmental data of the historical building to be displayed to obtain the historical building health index of the historical building to be displayed; the interactive display module is used to obtain the historical background data and geographic location data of the historical building to be displayed, and input the three-dimensional point cloud data set, historical building health index, historical background data, geographic location data and comprehensive historical building image data set of each collection orientation of the historical building to be displayed into the GIS platform for comprehensive analysis to obtain an interactive data panel and interactive display diagram of the historical building to be displayed, and combine the interactive display diagram of the historical building to be displayed with the interactive data panel for interactive display.

[0081] Although the preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0082] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.

Claims

1. A GIS-based method for collecting and displaying digital information of historical buildings, characterized in that: The following steps are involved: Divide the historical buildings to be collected into regions, obtain a number of collection areas at a number of collection locations of the historical buildings to be displayed, and obtain collection equipment data of the historical buildings to be collected and the initial position coordinates of each collection area at each collection location; Comprehensively analyzing the data of the collection equipment of the historical building to be collected and the initial position coordinates of each collection area at each collection orientation, to obtain the position coordinates of several collection positions of the collection equipment of the historical building to be collected in each collection area at each collection orientation; Data is collected based on the position coordinates of each collection position of each collection area of ​​each collection orientation by the collection device of the historical building to be displayed, so as to obtain historical building image data of each collection position of each collection area of ​​each collection orientation of the historical building to be displayed; Performing fusion processing on the historical building image data of each collection position in each collection area of ​​each collection orientation of the historical building to be displayed, obtaining a comprehensive historical building image data set of each collection orientation of the historical building to be displayed, and obtaining environmental data of the historical building to be displayed; The comprehensive historical building image dataset of each acquisition orientation of the historical building to be displayed is converted and processed to obtain a three-dimensional point cloud dataset of the historical building to be displayed, and a comprehensive analysis is performed to obtain a repair index of the historical building to be displayed. The repair index is then comprehensively analyzed with the environmental data of the historical building to be displayed to obtain a historical building health index of the historical building to be displayed; The historical background data and geographic location data of the historical buildings to be displayed are obtained, and the three-dimensional point cloud dataset, historical building health index, historical background data, geographic location data and comprehensive historical building image dataset of each collection direction of the historical buildings to be displayed are input into the GIS platform for comprehensive analysis to obtain the interactive data panel and interactive display diagram of the historical buildings to be displayed, and the interactive display diagram of the historical buildings to be displayed is combined with the interactive data panel for interactive display.

2. The GIS-based historical building digital information collection and display method according to claim 1 is characterized in that: The initial position coordinates are specifically the three-dimensional vertical position coordinate value of the device, the three-dimensional horizontal position coordinate value of the device, and the three-dimensional height position coordinate value of the device. The acquisition device data are specifically the width value and height value of the imaging sensor inside the acquisition device and the focal length value of the acquisition device. The historical building image data are specifically the pixel value of each pixel point in the historical building image and the corresponding two-dimensional position coordinates. The two-dimensional position coordinates are specifically the two-dimensional horizontal position coordinate value and the two-dimensional vertical position coordinate value. The comprehensive historical building image data set is specifically the regional pixel value of each acquisition orientation pixel point in the historical building image, the acquisition orientation comprehensive two-dimensional position coordinate value, and the two-dimensional position coordinate value. The three-dimensional position coordinates of the acquisition orientation are specifically the comprehensive two-dimensional horizontal coordinate value of the acquisition orientation and the comprehensive two-dimensional vertical coordinate value of the acquisition orientation. The three-dimensional point cloud data set is specifically the voxel value of each voxel point, the voxel three-dimensional horizontal coordinate value, the voxel three-dimensional vertical coordinate value, and the voxel three-dimensional height coordinate value. The environmental data are specifically the temperature difference value, the humidity difference value, the wind speed difference value, the ultraviolet radiation value, and the air pollutant concentration value. The historical background data are specifically the construction time and historical use information. The geographical location data are specifically the longitude value, the latitude value, and the altitude value, that is, the three-dimensional position coordinates of the historical building.

3. The method for collecting and displaying digital information of historical buildings based on GIS according to claim 2 is characterized in that: The specific steps for obtaining the position coordinates of each collection location of the collection equipment of the historical building to be collected in each collection area are as follows: Marking the initial position coordinates of each collection area of ​​the historical building to be collected in each collection orientation as the first collection position; Comprehensively analyze the width and height values ​​of the imaging sensor inside the acquisition equipment of the historical building to be acquired and the focal length value of the acquisition equipment to obtain the horizontal field of view angle and vertical field of view angle of the acquisition equipment of the historical building to be acquired; Obtaining an initial target distance value for each acquisition area at each orientation of the acquisition device for the historical building to be acquired, and performing deviation analysis based on the horizontal field of view angle, vertical field of view angle, preset image overlap rate, initial position coordinates of each acquisition area at each orientation of the acquisition device for the historical building to be acquired, and the initial target distance value to obtain a horizontal deviation value, a vertical deviation value, and a height deviation value for the next acquisition position of each acquisition area at each orientation of the acquisition device for the historical building to be acquired; and performing prediction analysis on the initial position coordinates of the acquisition device of the historical building to be acquired and the horizontal deviation value, vertical deviation value, and height deviation value of the next acquisition position in each acquisition area of ​​each acquisition orientation, respectively, to obtain the predicted acquisition position coordinates of the next acquisition position of the acquisition device of the historical building to be acquired in each acquisition area of ​​each acquisition orientation, i.e., the acquisition position coordinates of the second acquisition position, including acquisition three-dimensional vertical position coordinate values, acquisition three-dimensional horizontal position coordinate values, and acquisition three-dimensional height position coordinate values; After obtaining the collection position coordinates of the second collection position of the collection device of the historical building to be collected in each collection area of ​​each collection orientation, the deviation analysis and prediction analysis steps are repeated until the collection position coordinates of the next collection position are within the preset adjacent collection area boundary range.

4. The method for collecting and displaying digital information of historical buildings based on GIS according to claim 2 is characterized in that: The specific steps for obtaining a comprehensive historical building image dataset for each acquisition orientation of the historical building to be displayed are as follows: Obtaining the two-dimensional position coordinates of the midpoint of each acquisition orientation of the historical building to be displayed, as well as the horizontal resolution, vertical resolution, and acquisition target distance value of each acquisition position in each acquisition area of ​​each acquisition orientation, and depth information value of each pixel point, the two-dimensional position coordinates of the midpoint including the two-dimensional horizontal position coordinate value and the two-dimensional vertical position coordinate value of the midpoint; Based on the midpoint two-dimensional position coordinates of each collection orientation of the historical building to be displayed, a corresponding two-dimensional position coordinate system of the collection orientation is established; Comprehensively analyzing the width and height of the imaging sensor inside the acquisition device of the historical building to be displayed, the focal length of the acquisition device, the horizontal resolution and vertical resolution of the acquisition device of the historical building to be displayed, and the acquisition target distance value at each acquisition position in each acquisition area at each acquisition orientation with the two-dimensional position coordinates of each pixel point in the corresponding historical building image, to obtain the comprehensive two-dimensional position coordinates of each pixel point in the historical building image at each acquisition position in each acquisition area at each acquisition orientation of the historical building to be displayed, including a comprehensive two-dimensional horizontal coordinate value and a comprehensive two-dimensional vertical coordinate value; and comprehensively analyzing the comprehensive two-dimensional position coordinates of each pixel point in the historical building image at each acquisition position in each acquisition area of ​​each acquisition orientation of the historical building to be displayed, to obtain a plurality of overlapping pixel points and a plurality of non-overlapping pixel points of the historical building image at each acquisition orientation of the historical building to be displayed; Reading the pixel value and depth information value of each overlapping pixel point in the historical building image of each acquisition orientation of the historical building to be displayed, and performing mean analysis to obtain the comprehensive pixel value and comprehensive depth information value of each overlapping pixel point in the historical building image of each acquisition orientation of the historical building to be displayed; The comprehensive pixel value, comprehensive two-dimensional position coordinate, comprehensive depth information value of each overlapping pixel point in the historical building image of each acquisition orientation of the historical building to be displayed, as well as the pixel value, comprehensive two-dimensional position coordinate, and depth information value of each non-overlapping pixel point, are marked as the comprehensive pixel value, comprehensive two-dimensional position coordinate, and comprehensive depth information value of each acquisition orientation pixel point in the historical building image of each acquisition orientation of the historical building to be displayed, that is, the comprehensive historical building image dataset.

5. The method for collecting and displaying digital information of historical buildings based on GIS according to claim 4 is characterized in that: The specific formula for calculating the comprehensive two-dimensional horizontal coordinate value and the comprehensive two-dimensional vertical coordinate value of each pixel point in the historical building image at each acquisition position in each acquisition area of ​​each acquisition orientation of the historical building to be displayed is as follows: Among them, ZhS idmj CsP is the comprehensive two-dimensional horizontal coordinate value of the jth pixel point in the historical building image at the mth acquisition position in the dth acquisition area at the i-th acquisition orientation of the historical building to be displayed. idmj is the two-dimensional horizontal position coordinate value of the jth pixel point in the historical building image at the mth acquisition position in the dth acquisition area of ​​the i-th acquisition orientation of the historical building to be displayed. SpF is the horizontal resolution of the acquisition device for the historical building to be displayed. is the scale factor stored in the database, CgK is the width of the imaging sensor inside the acquisition equipment of the historical building to be displayed, DcL idm is the acquisition target distance value of the acquisition equipment of the historical building to be displayed at the mth acquisition position in the dth acquisition area at the ith acquisition direction, JpA is the focal length value of the acquisition equipment of the historical building to be displayed, ZhC idmj CsZ is the comprehensive two-dimensional vertical coordinate value of the jth pixel point in the historical building image at the mth acquisition position in the dth acquisition area at the i-th acquisition orientation of the historical building to be displayed. idmj is the two-dimensional vertical position coordinate value of the jth pixel point in the historical building image at the mth collection position of the dth collection area of ​​the i-th collection orientation of the historical building to be displayed, CzF is the vertical resolution of the collection equipment of the historical building to be displayed, CgD is the height value of the imaging sensor inside the collection equipment of the historical building to be displayed, i = 1, 2, 3, ..., i0, i0 is the number of collection orientations, d = 1, 2, 3, ..., d0, d0 is the number of collection areas, m = 1, 2, 3, ..., m0, m0 is the number of collection positions, j = 1, 2, 3, ..., j0, j0 is the number of pixels.

6. The method for collecting and displaying digital information of historical buildings based on GIS according to claim 1 is characterized in that: The specific steps to obtain the 3D point cloud dataset of the historical buildings to be displayed are as follows: Reading the comprehensive two-dimensional horizontal coordinate value of each pixel point in the historical building image of each collection orientation of the historical building to be displayed, the comprehensive two-dimensional vertical coordinate value of the collection orientation, and the comprehensive depth information value of the collection orientation, and analyzing them to obtain the three-dimensional horizontal coordinate value, the three-dimensional vertical coordinate value, and the three-dimensional height coordinate value of each pixel point in the historical building image of each collection orientation of the historical building to be displayed; A comprehensive voxel grid is established based on the three-dimensional horizontal coordinate value, the three-dimensional vertical coordinate value, and the three-dimensional height coordinate value of each pixel point at each acquisition orientation in the historical building image of each acquisition orientation of the historical building to be displayed, and the grid is divided based on a preset grid side length to obtain a plurality of voxel grids of the historical building to be displayed; Comprehensively analyzing the 3D horizontal coordinate value, 3D vertical coordinate value, 3D height coordinate value of each pixel point of each acquisition orientation of the historical building to be displayed and the preset grid side length, to obtain a number of acquisition orientation pixel points of each voxel grid of the historical building to be displayed; The acquisition orientation comprehensive pixel value, acquisition orientation comprehensive two-dimensional horizontal coordinate value, acquisition orientation comprehensive two-dimensional vertical coordinate value, and acquisition orientation comprehensive depth information value of each acquisition orientation pixel point of each voxel grid of the historical building to be displayed are respectively subjected to mean analysis to obtain the voxel value, voxel three-dimensional horizontal coordinate value, voxel three-dimensional vertical coordinate value, and voxel three-dimensional height coordinate value of each voxel grid of the historical building to be displayed, and are marked as the voxel value, voxel three-dimensional horizontal coordinate value, voxel three-dimensional vertical coordinate value, and voxel three-dimensional height coordinate value of each voxel point of the historical building to be displayed, that is, the three-dimensional point cloud dataset.

7. The method for collecting and displaying digital information of historical buildings based on GIS according to claim 2 is characterized in that: The specific steps to obtain the historic building health index of the historic building to be displayed are as follows: Comprehensively analyzing the voxel value of each voxel point of the historical building to be displayed to obtain several repair areas of the historical building to be displayed, and performing comprehensive analysis to obtain the repair index of the historical building to be displayed; Standardize the temperature difference, humidity difference, wind speed difference, ultraviolet radiation value, and air pollutant concentration value of the historical buildings to be displayed; Comprehensively analyze the standardized temperature difference, humidity difference, wind speed difference, ultraviolet radiation value, and air pollutant concentration value of the historical buildings to be displayed to obtain the environmental correction index of the historical buildings to be displayed; Comprehensively analyze the repair index and environmental correction index of the historical buildings to be displayed to obtain the historical building health index of the historical buildings to be displayed; The specific formulas for calculating the environmental correction index and the health index of historical buildings to be displayed are as follows: Wherein, HjX is the environmental correction index of the historical building to be displayed, XdW′ is the temperature difference value of the historical building to be displayed after standardization, α1 is the temperature coefficient stored in the database, XdS′ is the humidity difference value of the historical building to be displayed after standardization, α2 is the humidity coefficient stored in the database, XdF′ is the wind speed difference value of the historical building to be displayed after standardization, α3 is the wind speed coefficient stored in the database, ZxW′ is the ultraviolet radiation value of the historical building to be displayed after standardization, α4 ​​is the radiation coefficient stored in the database, KqW′ is the air pollutant concentration value of the historical building to be displayed after standardization, α5 is the pollution coefficient stored in the database, and α1+α2+α3+α4+α5=1, LzJ is the historical building health index of the historical building to be displayed, XsZ is the repair index of the historical building to be displayed, β1 is the repair coefficient stored in the database, β2 is the environmental coefficient stored in the database, and β1+β2=1, and e is a natural constant.

8. The method for collecting and displaying digital information of historical buildings based on GIS according to claim 1 is characterized in that: The specific steps to obtain the interactive data panel and interactive display diagram of the historical buildings to be displayed are as follows: Perform data format conversion on the three-dimensional point cloud dataset of the historical buildings to be displayed, the historical building health index, the historical background data, the geographic location data, and the comprehensive historical building image dataset of each collection location, respectively; import the converted three-dimensional point cloud dataset of the historical buildings to be displayed, the historical building health index, the historical background data, the geographic location data, and the comprehensive historical building image dataset of each collection location into a new project in the GIS platform, and set the spatial coordinate system; Based on the spatial coordinate system, coordinate conversion is performed on the voxel 3D horizontal coordinate value, voxel 3D vertical coordinate value, voxel 3D height coordinate value in the 3D point cloud dataset of the historical building to be displayed, and the acquisition orientation comprehensive 2D position coordinate in the comprehensive historical building image dataset of each acquisition orientation; A three-dimensional model of the historical building to be displayed is established based on the voxel three-dimensional horizontal coordinate value, the voxel three-dimensional vertical coordinate value, and the voxel three-dimensional height coordinate value of each voxel point in the three-dimensional point cloud data set of the historical building to be displayed after coordinate conversion; Mark the historical building health index, construction time, and historical use information of the historical building to be displayed as health data tags, construction time data tags, and historical use information data tags of the three-dimensional model of the historical building to be displayed, and establish an interactive data panel; The voxel points in the three-dimensional model of the historical building to be displayed are interactively linked with the pixel points of the collection orientation in the comprehensive historical building image data set of the corresponding collection orientation to obtain an interactive display map of the historical building to be displayed.

9. The method for collecting and displaying digital information of historical buildings based on GIS according to claim 1, characterized in that: The specific steps for interactively displaying the interactive display diagram of the historical buildings to be displayed in combination with the interactive data panel are as follows: Read the interactive data panel of the historical buildings to be displayed, and establish interactive links with the interactive display diagram by combining web technology; The data label of the clicked interactive data panel is obtained, and the interactive display diagram of the corresponding historical building to be displayed is displayed based on the data label of the clicked interactive data panel.

10. A GIS-based historical building digital information collection and display system, applying the GIS-based historical building digital information collection and display method according to any one of claims 1 to 9, characterized in that: include: Regional division module, acquisition and analysis module, data acquisition module, data fusion module, data analysis module, interactive display module; The region division module is used to divide the historical buildings to be collected into regions, obtain a plurality of collection areas of a plurality of collection orientations of the historical buildings to be displayed, and obtain the collection device data of the historical buildings to be collected and the initial position coordinates of each collection area at each collection orientation; The acquisition and analysis module is used to comprehensively analyze the acquisition equipment data of the historical building to be acquired and the initial position coordinates of each acquisition area in each acquisition orientation, and obtain the position coordinates of several acquisition positions of the acquisition equipment in each acquisition area in each acquisition orientation of the historical building to be acquired; The data acquisition module is used to acquire data based on the position coordinates of each acquisition position of each acquisition area of ​​each acquisition orientation of the acquisition device of the historical building to be displayed, so as to obtain the historical building image data of each acquisition position of each acquisition area of ​​each acquisition orientation of the historical building to be displayed; The data fusion module is used to fuse the historical building image data of each acquisition position in each acquisition area of ​​each acquisition orientation of the historical building to be displayed, obtain a comprehensive historical building image data set of each acquisition orientation of the historical building to be displayed, and obtain environmental data of the historical building to be displayed; The data analysis module is used to convert and process the comprehensive historical building image dataset of each acquisition orientation of the historical building to be displayed to obtain a three-dimensional point cloud dataset of the historical building to be displayed, and perform comprehensive analysis to obtain a repair index of the historical building to be displayed, and perform comprehensive analysis with the environmental data of the historical building to be displayed to obtain a historical building health index of the historical building to be displayed; The interactive display module is used to obtain the historical background data and geographic location data of the historical buildings to be displayed, and input the three-dimensional point cloud data set, historical building health index, historical background data, geographic location data and comprehensive historical building image data set of each collection direction of the historical buildings to be displayed into the GIS platform for comprehensive analysis, to obtain the interactive data panel and interactive display diagram of the historical buildings to be displayed, and to combine the interactive display diagram of the historical buildings to be displayed with the interactive data panel for interactive display.

Images