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

Abstract

The invention discloses a GIS-based historical building digital information acquisition and display method and system, and relates to the field of digital information acquisition and display. The GIS-based historical building digital information acquisition and display method comprises the steps of performing region division on a to-be-acquired historical building, obtaining a position coordinate of each acquisition position of each acquisition region of each acquisition direction of the to-be-acquired historical building, performing data acquisition, obtaining historical building image data of the corresponding acquisition position, and displaying the historical building image data in the corresponding acquisition position. Carrying out fusion analysis to obtain a comprehensive image data set of each collection direction of the historical building to be collected, and obtaining environment data in real time; the comprehensive image data set of each collection direction is analyzed to obtain three-dimensional point cloud data, the three-dimensional point cloud data and environmental data are comprehensively analyzed to obtain health indexes, historical background and geographic position data are obtained, the data are input into a GIS platform for analysis, an interactive data panel and a display graph are generated, and the interactive data panel and the display graph are mutually combined for display.

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. It realizes the visualization, analysis and simulation of various geographic information in the real world by organically combining spatial information with attribute information. As an important part of cultural heritage, historical buildings carry rich historical information and artistic value. However, traditional recording methods often rely on manual mapping and text description, which is not only inefficient, but also easily interfered by human factors, and it is 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-directional 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. Secondly, the existing technology ignores the dynamic changes in the environmental data and repair needs of historical buildings, and thus lacks 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. In addition, 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. Summary of the invention

[0004] In view of the deficiencies of the prior art, the present invention provides a method and system for collecting and displaying digital information of historical buildings based on GIS, which solves the problem that the prior art fails to fully consider the multi-directional 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 buildings. Secondly, the prior art ignores the dynamic changes of environmental data and repair needs of historical buildings, and thus lacks 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. Finally, the prior art 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.

[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, obtaining several collection areas of several 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, obtaining the position coordinates of several 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, obtaining the 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 data set 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 data set of each collection position of the historical building to be displayed is converted and processed to obtain a three-dimensional point cloud data set 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 geographical location data of the historical building to be displayed are obtained, and the three-dimensional point cloud data set, historical building health index, historical background data, geographical location data and the comprehensive historical building image data set 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 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.

[0006] A GIS-based historical building digital information collection and display system, comprising: a region division module, a collection and analysis module, a data collection module, a data fusion module, a data analysis module, and an 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 equipment data of the historical buildings to be collected and the initial position coordinates of each collection area in each collection orientation; the collection and analysis module is used to perform a comprehensive analysis on the collection equipment data of the historical buildings to be collected and the initial position coordinates of each collection area in each collection orientation, and 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; the data collection module is used to perform data collection 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, and obtain the historical building image data of each collection position of each collection area of ​​each collection orientation of the historical buildings to be displayed; the data fusion module is used to perform a comprehensive analysis on the collection equipment data of the historical buildings to be collected and the initial position coordinates of each collection area in each collection orientation, and obtain the 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 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 historical building digital information collection and display method ensures the comprehensiveness and accuracy of data collection by carefully dividing each collection direction and collection area. It can effectively avoid the omission of historical building image data by collecting images at multiple locations in multiple directions and multiple areas. 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 historical building digital information collection.

[0009] (2) This GIS-based historical building digital information collection and display method generates a three-dimensional point cloud data set of historical buildings and combines the calculation of repair index and health index to intuitively reflect the health status of historical buildings. 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 enables managers to timely grasp the health status of historical buildings, thereby ensuring the long-term stability of the buildings.

[0010] (3) This GIS-based method for collecting and displaying digital information on 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 about 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 facilitate in-depth analysis and research.

[0011] (4) This 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 is convenient to conduct health assessments of buildings and display repair areas, thereby improving the accuracy of historical building displays, and then helping to improve the level of visual display of historical buildings, so that users can intuitively understand the condition and value of the 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 The present invention is a flow chart of a method for collecting and displaying digital information of historical buildings based on GIS.

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

[0015] Figure 3 This is a block diagram of a 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 prior art 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 buildings. Secondly, the prior art ignores the dynamic changes of environmental data and repair needs of historical buildings, and thus lacks 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 prior art 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 idea of ​​the problem in the embodiment 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. The initial position coordinates of each collection area of ​​each collection direction are obtained, and comprehensive analysis is performed in combination with the collection equipment data to obtain multiple collection positions of each collection area of ​​each collection direction of the historical buildings to be collected. Next, 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 data set for each collection direction, and environmental data is obtained in real time. The comprehensive historical building image data set of each collection direction is converted to generate a three-dimensional point cloud data set, which 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 data set, 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 diagram (two-dimensional and three-dimensional integrated diagram) are generated through the GIS platform for interactive display.

[0019] See also Figure 1The 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 several collection areas of several collection directions of the historical buildings to be displayed (in this implementation example, the collection directions are respectively the front, top, back, left and right sides of the historical buildings to be displayed), and obtaining the 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 several 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 the 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 implementation example, in order to obtain complete image data, multiple collection directions and multiple collection directions are selected to set the collection device data of the historical buildings to be collected and the initial position coordinates of each collection area in each collection direction). The image of the historical building is collected from multiple collection positions in the collection area to ensure the integrity of the historical building image); the historical building image data of each collection position of each collection area of ​​each collection position of the historical building to be displayed are integrated to obtain a comprehensive historical building image data set 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 data set of each collection position of the historical building to be displayed is converted to obtain a three-dimensional point cloud data set 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, and a comprehensive analysis is performed 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 geographical location data of the historical building to be displayed are obtained, and the three-dimensional point cloud data set, the historical building health index, the historical background data, the geographical location data and the comprehensive historical building image data set 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 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 implementation example, 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 specifically include 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 specifically includes 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 specifically includes 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 specifically include the two-dimensional horizontal position coordinate value and the two-dimensional vertical position coordinate value; the comprehensive historical building image data set specifically includes the historical The regional pixel value of each pixel point of the collection orientation in the historical building image, the comprehensive two-dimensional position coordinates of the collection orientation, the comprehensive two-dimensional position coordinates of the collection orientation are specifically the comprehensive two-dimensional horizontal coordinate value of the collection orientation, and the comprehensive two-dimensional vertical coordinate value of the collection orientation. 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 includes the temperature difference value, humidity difference value, wind speed difference value, ultraviolet radiation value, and air pollutant concentration value. The historical background data specifically includes the construction time, designer, historical repair event information, and historical use information. The geographical location data specifically includes 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 a sensor or film), and is obtained through 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 time.

[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 time.

[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, nitrogen monoxide 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 records, including the time, reason and method of renovation, which are obtained from the architectural documents stored in the database.

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

[0033] Specifically, the specific steps for obtaining the position coordinates of each acquisition position of the acquisition device of the historical building to be collected in each acquisition area are as follows: mark the initial position coordinates of each acquisition area of ​​the historical building to be collected in each acquisition orientation as the first acquisition position; comprehensively analyze the width value and height value of the imaging sensor inside the acquisition device of the historical building to be collected and the focal length value of the acquisition device to obtain the horizontal field of view (i.e., the maximum angle that the acquisition device can capture in the horizontal direction) and the vertical field of view (i.e., the maximum angle that the acquisition device can capture in the vertical direction) of the acquisition device of the historical building to be collected; obtain the initial target distance value of each acquisition area of ​​each orientation of the acquisition device of the historical building to be collected, and respectively combine the horizontal field of view angle, vertical field of view angle, preset image overlap rate (in this implementation example, the image overlap rate is preset to 60%, that is, after the adjacent images collected by the acquisition device are compared and analyzed, the overlap rate of adjacent images reaches 60%) of the acquisition device of the historical building to be collected, and the initial position coordinates of each acquisition area of ​​the acquisition device in each orientation and the initial target distance value to perform deviation analysis to obtain the acquisition device of the historical building to be collected. The horizontal deviation value, vertical deviation value and height deviation value of the next acquisition position of each acquisition area in each azimuth are prepared; and the initial position coordinates of the acquisition equipment of the historical building to be collected are respectively predicted and analyzed with the horizontal deviation value, vertical deviation value and height deviation value of the next acquisition position of each acquisition area in each acquisition azimuth to obtain the predicted acquisition position coordinates of the next acquisition position of the acquisition equipment of the historical building to be collected in each acquisition area in each acquisition azimuth, that is, the acquisition position coordinates of the second acquisition position, including the acquisition three-dimensional vertical position coordinate value, the acquisition three-dimensional horizontal position coordinate value and the acquisition three-dimensional height position coordinate value; after obtaining the acquisition position coordinates of the second acquisition position of each acquisition area in each acquisition azimuth of the acquisition equipment of the historical building to be collected, the deviation analysis and prediction analysis steps are repeated until the acquisition position coordinates of the next acquisition position are within the preset adjacent acquisition area boundary range (that is, within the preset distance interval of the overlapping boundary line of the adjacent acquisition area, and the overlapping boundary line is the overlap of the terminal boundary line and the starting boundary line of the adjacent acquisition area, for example, the terminal boundary line of the starting boundary line of the first acquisition area overlaps with the starting boundary line of the second acquisition area).

[0034] The initial target distance is the distance from the acquisition device to the acquisition area when it is at the initial position, and is obtained through the measurement distance of the rangefinder stored in the database, that is, the rangefinder is used to directly measure and the output result is stored 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 coordinate values ​​in the horizontal direction (X-axis direction), the difference in coordinate values ​​in the vertical direction (Y-axis direction), and the difference in coordinate values ​​in the height direction (Z-axis direction) of adjacent collection positions.

[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 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: Where 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 implementation example, CgK is the width value of the imaging sensor inside the acquisition device of the historical building to be collected, JpA is the focal length value of the acquisition device of the historical building to be collected, CzG is the vertical field angle of the acquisition device of the historical building to be collected, CgD is the height value 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 dth acquisition area at the ith 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 dth 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 collection position of the collection equipment of the historical building to be collected in the dth collection area at the ith collection 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 dth 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 ith acquisition orientation, id CzG is the three-dimensional height position coordinate value of the next collection position of the collection device of the historical building to be collected in the dth collection area at the i-th collection 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 ith collection position, i = 1, 2, 3, ..., i0, i0 is the number of collection positions, 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 device of the historical building to be collected are calculated in the same logic and the same calculation formula.

[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 implementation, by calculating the horizontal and vertical field of view angles and combining the preset image overlap rate, it is ensured that there is enough overlap between adjacent acquisition points, thereby avoiding acquisition 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 acquisition equipment can be reasonably planned and the acquisition efficiency can be significantly improved. Secondly, maintaining a certain image overlap rate between each acquisition point is conducive to subsequent image stitching and three-dimensional reconstruction, thereby reducing stitching errors and improving the accuracy of the digital model of the building. In addition, the method of calculating the acquisition position based on the formula provides a basis for automated data acquisition, reduces the necessity of manual intervention, reduces the complexity of operation, and reduces the possibility of human error. Finally, the method adjusts the acquisition parameters (such as overlap rate, target distance, etc.) according to the actual situation, so as to flexibly respond to the acquisition needs of buildings of different scales and complexities, and has strong applicability.

[0040] Specifically, the specific steps of obtaining a comprehensive historical building image data set 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 of the acquisition device, and the acquisition target distance value of each acquisition position in each acquisition area of ​​each acquisition orientation, and the depth information value of each pixel point, the two-dimensional position coordinates of the midpoint include the two-dimensional horizontal position coordinate value of the midpoint and the two-dimensional vertical position coordinate value of the midpoint; establishing a corresponding two-dimensional position coordinate system of the acquisition orientation based on the two-dimensional position coordinates of the midpoint of each acquisition orientation of the historical building to be displayed (with the two-dimensional position coordinates of the midpoint of the historical building to be displayed at the corresponding acquisition orientation as the origin, the X axis is horizontal to the right, and the Y axis is vertically downward); comprehensively analyzing the width value and height value of the imaging sensor inside the acquisition device of the historical building to be displayed, the focal length value of the acquisition device, the horizontal resolution, vertical resolution of the acquisition device of the historical building to be displayed, and the acquisition target distance value of each acquisition position in each acquisition area of ​​each acquisition orientation with the two-dimensional position coordinates of each pixel point in the corresponding historical building image, and obtaining the depth information value of each pixel point in the historical building image of each acquisition area of ​​each acquisition orientation of the historical building to be displayed. The comprehensive two-dimensional position coordinates of the point (in a unified two-dimensional position coordinate system of the acquisition orientation) include a comprehensive two-dimensional horizontal coordinate value and a comprehensive two-dimensional vertical coordinate value; and a comprehensive analysis is performed on the comprehensive two-dimensional position coordinates of each pixel point in the historical building image of each acquisition position of each acquisition area of ​​each acquisition orientation of the historical building to be displayed, so as to obtain a number of overlapping pixel points and a number of non-overlapping pixel points of the historical building image of each acquisition orientation of the historical building to be displayed; 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 are read, and a mean analysis is performed to obtain a comprehensive pixel value and a 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, and 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, the acquisition orientation comprehensive two-dimensional position coordinate, and the acquisition orientation 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 data set.

[0041] Among them, the process of obtaining the two-dimensional position coordinates of the midpoint position is: obtain the building length value and building width value of each collection orientation of the historical building and perform average calculation to obtain the mean length and mean width of each collection orientation of the historical building, and mark them accordingly as the midpoint two-dimensional horizontal position coordinate value and the midpoint two-dimensional vertical position coordinate value, and the building length value and building width value of each collection orientation of the historical building are obtained through the measurement results of the rangefinder stored in the database, that is, the rangefinder is used to directly perform measurement, and the output results are stored in the database.

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

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

[0044] The target distance value is collected, and the distance from the collection device to the collection area is obtained through the measurement distance of the rangefinder stored in the database, that is, the rangefinder is used to directly measure and the output result is stored 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 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 image of the historical building at the mth acquisition position of the dth acquisition area of ​​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 of 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 of the historical building to be displayed, is the scale factor stored in the database, which is 2 in this implementation example, CgK is the width value of the imaging sensor inside the acquisition device 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 orientation, 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 image of the historical building at the mth acquisition position of the dth acquisition area of ​​the i-th acquisition orientation of the historical building to be displayed. idmjis the two-dimensional vertical position coordinate value of the j-th pixel point in the historical building image at the m-th collection position of the d-th 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, and j=1,2,3,…,j0,j0 is the number of pixels.

[0046] In this implementation scheme, by establishing a unified two-dimensional position coordinate system of the acquisition orientation for each orientation, the uniformity of the data in multiple orientations and multiple acquisition areas is ensured, and the coordinate inconsistency problem caused by different acquisition positions is eliminated, thereby providing a reliable basis for subsequent data analysis and processing. Secondly, by using equipment parameters and acquisition position depth information, the pixel points in multiple acquisition areas are comprehensively analyzed to achieve the fusion of pixel values, depth information values, etc., and the mean analysis of overlapping pixels is performed, which can improve the accuracy and credibility of the data. In addition, by analyzing the overlapping and non-overlapping characteristics of each pixel point, the spatial distribution information of multiple acquisition orientations can be fully mined, 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 ​​enables the generated historical building image data set to have a certain three-dimensional expression capability, which provides a solid basic data support for the subsequent establishment of 3D models or augmented reality displays. Finally, various parameters (such as length value, width value, resolution, acquisition target distance value, etc.) are clearly derived from the measurement equipment data stored in the database, thereby ensuring the reliability and traceability of the data.

[0047] Specifically, the specific steps for 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 a number of 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 data set.

[0048] Among them, the specific process of obtaining a number of 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 a number of 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 three-dimensional 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, while reducing redundant data and improving 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 by statistically analyzing and averaging the acquisition positions within the voxel grid, eliminating the impact of random errors and noise points on the three-dimensional point cloud data, 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 performed directly based on regular grids, which improves the display effect and user experience. 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, 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, 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 health index of historic 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, and 2.713 is taken 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 value, humidity difference value, wind speed difference value, ultraviolet radiation value, and air pollutant concentration value of the historical buildings to be displayed after standardization, and perform sum analysis to obtain the environmental sum value 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 value, 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 buildings to be displayed, and perform sum analysis to obtain the health and value of the historical buildings to be displayed; perform proportion analysis on the repair index and correction index of the historical buildings to be displayed and the health and value respectively, and use the proportion analysis results as the corresponding coefficients.

[0056] Among them, the calculation data examples of the historical building health index of the historical buildings to be displayed are as follows:

[0057] Table 1 Example of calculation data of historic building health index for historic 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 about: 0.351; the humidity difference value of the historical buildings to be displayed after standardization is about: 0.152; the wind speed difference value of the historical buildings to be displayed after standardization is about: 0.219; the ultraviolet radiation value of the historical buildings to be displayed after standardization is about: 0.351; the air pollutant concentration value of the historical buildings to be displayed after standardization is about: 0.182; 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 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 repair index of the historical buildings to be displayed is approximately: 0.261; the repair 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 set of data: the temperature difference value of the historical buildings to be displayed after standardization is about: 0.246; the humidity difference value of the historical buildings to be displayed after standardization is about: 0.274; the wind speed difference value of the historical buildings to be displayed after standardization is about: 0.166; the ultraviolet radiation value of the historical buildings to be displayed after standardization is about: 0.224; the air pollutant concentration value of the historical buildings to be displayed after standardization 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 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: 0.082; the repair index of the historical buildings to be displayed is approximately: 0.196; the repair 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: 1.715.

[0063] The third set of data: the temperature difference value of the historical buildings to be displayed after standardization is about: 0.562; the humidity difference value of the historical buildings to be displayed after standardization is about: 0.186; the wind speed difference value of the historical buildings to be displayed after standardization is about: 0.225; the ultraviolet radiation value of the historical buildings to be displayed after standardization is about: 0.241; the air pollutant concentration value of the historical buildings to be displayed after standardization 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 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: 0.122; the repair index of the historical buildings to be displayed is approximately: 0.285; the repair 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: 1.461.

[0064] The fourth set of data: the temperature difference value of the historical buildings to be displayed after standardization is about: 0.414; the humidity difference value of the historical buildings to be displayed after standardization is about: 0.168; the wind speed difference value of the historical buildings to be displayed after standardization is about: 0.198; the ultraviolet radiation value of the historical buildings to be displayed after standardization is about: 0.253; the air pollutant concentration value of the historical buildings to be displayed after standardization is about: 0.274; 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 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 repair index of the historical buildings to be displayed is approximately: 0.256; the repair 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 about: 0.348; the humidity difference value of the historical buildings to be displayed after standardization is about: 0.226; the wind speed difference value of the historical buildings to be displayed after standardization is about: 0.242; the ultraviolet radiation value of the historical buildings to be displayed after standardization is about: 0.271; the air pollutant concentration value of the historical buildings to be displayed after standardization is about: 0.198; 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 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 repair index of the historical buildings to be displayed is approximately: 0.234; the repair 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 a number of 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 a number of repair pixel points of the historical building to be displayed, and then a connected domain analysis is performed to generate a number of repair areas of the historical building to be displayed, and Harris corner point detection is combined to analyze each repair area of ​​the historical building to be displayed to obtain a number of 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 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, 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 historic building to be displayed are as follows:

[0068] Among them, QyM f is the regional 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 implementation example, 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 regional volume of the fth repair area of ​​the historical building to be displayed after normalization, 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 corner points, 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: read the regional volume and damage complexity index of each repair area of ​​the historical building to be displayed after normalization, and perform mean analysis to obtain the regional volume mean and damage complexity index mean of the historical building to be displayed, and perform sum analysis to obtain the repair sum value of the historical building to be displayed, and perform 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 use 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, and automatically identifying the repair area and its key corner points through voxel value grayscale processing, local binary method and connected domain analysis, thereby improving the efficiency of repair area positioning, and dynamically evaluating the repair needs 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 correction index is calculated after standardizing environmental factors such as temperature difference value, humidity difference value, wind speed difference value, ultraviolet radiation value and air pollutant concentration, so as to make up for the shortcomings of simple building data analysis, thereby improving the scientific nature of the protection strategy. Finally, the historical building health index combines the environmental correction index with the repair index to provide reliable indicators 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 the new project in the GIS platform, and set the spatial coordinate system (that is, 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 concentrated. The comprehensive two-dimensional position coordinates of the collection orientation are respectively converted; and the 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 marked as the health data label, construction time data label, designer data label, historical repair event information data label, and historical use information data label 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 diagram 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, unify it into a format that can be recognized by the GIS platform (such as LAS, XYZ, etc.), standardize the historical building health index, historical background data, and geographic location data to match the database fields of the GIS platform, and convert the image format (such as JPG, TIFF) into a format that supports spatial information (such as GeoTIFF) for the comprehensive historical building image dataset of each collection orientation to ensure that the image carries spatial coordinate information, import all converted data files into the new project of 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 point 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 clicking on a voxel point in the three-dimensional model of the historical building, 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 scheme, by converting and uniformly processing the formats of different data sources, the effective integration of multi-source data is achieved, thereby ensuring the consistency and interoperability of the data, which helps to comprehensively present various types of information on historical buildings and enhance the use value of the data. Secondly, the GIS platform is used to combine the three-dimensional point cloud data and image data of the historical buildings, and the spatial coordinate system (such as WGS84) is used to ensure the consistency of the coordinates, providing a more accurate and intuitive architectural visualization effect, and through three-dimensional modeling, the structure and spatial relationship of the building can be clearly displayed, providing important support for scenes such as repair, 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 repair event information and historical use information, thereby increasing the accessibility of the data, and can also help users quickly understand the historical background and current status of the building, so as to make more effective decisions. Finally, through coordinate conversion and spatial mapping, the accurate matching between the three-dimensional point cloud data and the image data is achieved. When viewing the three-dimensional model of the building, the user can quickly display the corresponding image detail information by clicking the voxel point, so that the user can have an in-depth understanding of every detail of the building, which helps to better analyze and plan the repair.

[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; obtain the data label of clicking the interactive data panel in combination with ray casting technology, and display the corresponding interactive display diagram of the historical building to be displayed based on the data label of clicking the 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 location of the observer) along a specific direction. Through ray casting technology, the user's click location can be detected and the object with which the interaction has 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 implementation scheme, by combining the interactive data panel with the interactive display diagram, users can directly interact with the three-dimensional model of the building 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 part of the building three-dimensional model is automatically displayed, so that complex building data can be presented in an intuitive and interactive manner, enhancing the visualization of the data, and then 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 the data panel to instantly update and display relevant information of a specific area when the user is viewing the three-dimensional model 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 3The embodiment of the present invention provides a technical solution: a GIS-based historical building digital information collection and display system, comprising: a region division module, a collection and analysis module, a data collection module, a data fusion module, a data analysis module, and an 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 equipment data of the historical buildings to be collected and the initial position coordinates of each collection area in each collection orientation; the collection and analysis module is used to perform a comprehensive analysis on the collection equipment data of the historical buildings to be collected and the initial position coordinates of each collection area in each collection orientation, and 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; the data collection module is used to collect 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, and obtain the historical building image data of each collection position of each collection area of ​​each collection orientation of the historical buildings to be displayed; the data fusion module is used to collect data based on the position coordinates of each collection position of each collection area of ​​each collection orientation of the historical buildings to be displayed, and obtain the historical building image data of each collection position of each collection area of ​​each collection orientation of the historical buildings to be displayed; The module 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 the 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 the 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 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 the 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.

[0081] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other 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 can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A method for collecting and displaying digital information of historical buildings based on GIS, characterized in that: The following steps are involved: Divide the historical buildings to be collected into regions, obtain several collection areas of several 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 in each collection location; Comprehensively analyze the data of the collection equipment of the historical building to be collected and the initial position coordinates of each collection area in 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 in each collection orientation; 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, data is collected 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; Performing fusion processing on the historical building image data of each collection position of 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 data set of each acquisition orientation of the historical building to be displayed is converted and processed to obtain a three-dimensional point cloud data set 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, and a comprehensive analysis is performed 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 method for collecting and displaying digital information of historical buildings based on GIS 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 The three-dimensional position coordinates are as follows: the comprehensive two-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 buildings.

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 of 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 the vertical field of view angle of the acquisition equipment of the historical building to be acquired; Obtain the initial target distance value of each acquisition area in each orientation of the acquisition device of the historical building to be acquired, and perform deviation analysis in combination with the horizontal field of view angle, vertical field of view angle, preset image overlap rate, initial position coordinates of each acquisition area in each orientation of the acquisition device of the historical building to be acquired, and the initial target distance value to obtain the horizontal deviation value, vertical deviation value, and height deviation value of the next acquisition position of each acquisition area in each orientation of the acquisition device of the historical building to be acquired; And the initial position coordinates of the collection equipment of the historical building to be collected and the horizontal deviation value, vertical deviation value, and height deviation value of the next collection position in each collection area of ​​each collection orientation are respectively predicted and analyzed to obtain the predicted collection position coordinates of the next collection position of the collection equipment of the historical building to be collected in each collection area of ​​each collection orientation, that is, 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 each collection area in each collection orientation of the collection device of the historical building to be collected, 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: Acquire the midpoint two-dimensional position coordinates of each acquisition orientation of the historical building to be displayed, as well as the horizontal resolution, vertical resolution of the acquisition device, and the acquisition target distance value of each acquisition position in each acquisition area of ​​each acquisition orientation, as well as the depth information value of each pixel point, wherein the midpoint two-dimensional position coordinates include the midpoint two-dimensional horizontal position coordinate value and the midpoint two-dimensional vertical position coordinate value; 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 analyze 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, the 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 of ​​each acquisition orientation with the two-dimensional position coordinates of each pixel point in the corresponding historical building image, and obtain 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, including the comprehensive two-dimensional horizontal coordinate value and the 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 of each acquisition area of ​​each acquisition orientation of the historical building to be displayed, to obtain a number of overlapping pixel points and a number of non-overlapping pixel points of the historical building image at each acquisition orientation of the historical building to be displayed; Read 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 perform 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 coordinates, comprehensive depth information value of each overlapping pixel point in the historical building image of each collection orientation of the historical building to be displayed, as well as the pixel value, comprehensive two-dimensional position coordinates, and depth information value of each non-overlapping pixel point are marked as the comprehensive pixel value, comprehensive two-dimensional position coordinates, and comprehensive depth information value of each collection orientation pixel point in the historical building image of each collection orientation of the historical building to be displayed, that is, the comprehensive historical building image data set.

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 image of the historical building at the mth acquisition position of the dth acquisition area of ​​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 of 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 of 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 device of the historical building to be displayed, and 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 orientation, 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 image of the historical building at the mth acquisition position of the dth acquisition area of ​​the i-th acquisition orientation of the historical building to be displayed. idmj is the two-dimensional vertical position coordinate value of the j-th pixel point in the historical building image at the m-th collection position of the d-th 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, and 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: Read 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 analyze 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 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 and preset grid side length of each acquisition orientation pixel point of each acquisition orientation of the historical building to be displayed, and obtaining a number of acquisition orientation pixel points of each voxel grid of the historical building to be displayed; The comprehensive pixel value of the collection orientation, the comprehensive two-dimensional horizontal coordinate value of the collection orientation, the comprehensive two-dimensional vertical coordinate value of the collection orientation, and the comprehensive depth information value of the collection orientation are respectively analyzed by mean value, so as to obtain the voxel value, three-dimensional horizontal coordinate value, three-dimensional vertical coordinate value, and three-dimensional height coordinate value of each voxel grid of the historical building to be displayed, and mark them as the voxel value, three-dimensional horizontal coordinate value, three-dimensional vertical coordinate value, and 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, obtaining 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 values, humidity difference values, wind speed difference values, ultraviolet radiation values, and air pollutant concentration values ​​of the historic buildings to be displayed to obtain the environmental correction index of the historic 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 health index of historic 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: The data formats of the three-dimensional point cloud dataset of the historical buildings to be displayed, the historical building health index, the historical background data, the geographical location data, and the comprehensive historical building image dataset of each collection location are converted respectively, and the converted three-dimensional point cloud dataset of the historical buildings to be displayed, the historical building health index, the historical background data, the geographical location data, and the comprehensive historical building image dataset of each collection location are imported into the newly created project in the GIS platform, and the spatial coordinate system is set; Based on the spatial coordinate system, coordinate conversion is performed on the voxel three-dimensional horizontal coordinate value, the voxel three-dimensional vertical coordinate value, the voxel three-dimensional height coordinate value in the three-dimensional point cloud data set for displaying the historical building, and the acquisition orientation comprehensive two-dimensional position coordinates in the comprehensive historical building image data set 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 the coordinate conversion; Mark the historical building health index, construction time, and historical use information of the historical building to be displayed as a health data label, a construction time data label, and a historical use information data label 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 is 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 corresponding interactive display diagram of the historical building to be displayed is displayed based on the clicked data label of the interactive data panel.

10. A GIS-based historical building digital information collection and display system, using the GIS-based historical building digital information collection and display method according to any one of claims 1 to 9, characterized in that: include: Area division module, collection and analysis module, data collection module, data fusion module, data analysis module, interactive display module; The area division module is used to divide the historical buildings to be collected into areas, obtain a number of collection areas of a number of collection positions of the historical buildings to be displayed, and obtain the collection equipment data of the historical buildings to be collected and the initial position coordinates of each collection area in each collection position; 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 of the historical building to be acquired in each acquisition area in each acquisition orientation; 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 of 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 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 acquisition 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 historical background data and geographical 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, geographical 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 interactively display the interactive display diagram of the historical buildings to be displayed in combination with the interactive data panel.

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