A method, device and medium for analyzing the vertical structure of a reservoir dam

Abstract

The present invention discloses a facade structure analysis method, equipment and medium based on a reservoir dam body, which belongs to the field of dam monitoring technology and is used to solve the technical problems of low efficiency, difficulty in comprehensive acquisition, difficulty in identifying potential safety risks, and difficulty in timely issuing early warning information in the existing dam facade structure monitoring. The method includes: using a preset three-dimensional laser scanner to perform multi-level point cloud scanning on the steel sheet pile cofferdam of the dam to obtain three-dimensional point cloud data; performing data preprocessing on the three-dimensional point cloud data to obtain uniform point density point cloud data of the steel sheet pile; performing a steel sheet pile cylinder deformation analysis on the uniform point density point cloud data related to the least squares circle to obtain change trend data based on the steel sheet pile cylinder; based on the change trend data obtained from different sections in the steel sheet pile cylinder, determine the safety risk information of the dam.

Description

Technical Field

[0001] The present application relates to the field of dam monitoring, and in particular to a facade structure analysis method, equipment and medium based on a reservoir dam body. Background Art

[0002] Building facade refers to the interface between the building and the external space of the building, as well as the image and composition of the building, or the general term for the components and their combination at the interface between the internal and external spaces of the building. The facade structure of the reservoir has a certain slope, because the water pressure increases with the depth. In order to withstand the increasing water pressure, the bottom of the dam is much thicker than the top.

[0003] Dam deformation refers to the change in the shape and position of the dam due to the influence of water pressure, rock and soil deformation, temperature and other factors during the use of the dam. The deformation of the dam can be measured and calculated through a variety of methods, mainly including the use of measurement methods and various sensors to continuously or periodically measure the horizontal displacement, vertical displacement, cracks, stress and other deformation elements of the dam, as well as monitoring through traditional measurement techniques.

[0004] In the existing monitoring of dam facade structures, the deformation observation of the facade structure has the disadvantages of low efficiency and difficulty in comprehensive acquisition. It is not easy to identify potential safety risks, issue early warning information in a timely manner, notify relevant departments and the public, and it is not convenient to take response measures, which can easily cause large disaster losses. Summary of the invention

[0005] The embodiments of the present application provide a facade structure analysis method, equipment and medium based on a reservoir dam body, which are used to solve the following technical problems: In the existing dam facade structure monitoring, the facade structure deformation observation is inefficient and difficult to obtain comprehensively, and it is not easy to identify potential safety risks and it is difficult to issue early warning information in a timely manner.

[0006] The present application embodiment adopts the following technical solutions:

[0007] On the one hand, an embodiment of the present application provides a facade structure analysis method based on a reservoir dam body, comprising: performing multi-level point cloud scanning on the steel sheet pile cofferdam of the dam through a preset three-dimensional laser scanner to obtain three-dimensional point cloud data; performing data preprocessing on the three-dimensional point cloud data to obtain uniform point density point cloud data of the steel sheet piles; performing a steel sheet pile cylinder deformation analysis related to the least squares circle on the uniform point density point cloud data to obtain change trend data based on the steel sheet pile cylinder; determining the safety risk information of the dam based on the change trend data obtained from different sections in the steel sheet pile cylinder.

[0008] The embodiment of the present application extracts the three-dimensional deformation of the dam steel sheet pile facade structure to ensure the real-time monitoring and data analysis of small reservoirs, automatically identify potential safety risks, and issue early warning information in a timely manner to notify relevant departments and the public so that timely response measures can be taken to minimize possible disaster losses. In addition, the technical operation process and point cloud processing technology used can analyze the deformation of sections at different heights and the regularity of deformation directions. At the same time, the extracted three-dimensional deformation can provide a comprehensive, accurate, and high-precision reference for analyzing the bottom deformation and top deformation of the same side of the small reservoir, providing a reliable data basis for subsequent risk removal and reinforcement.

[0009] In a feasible implementation, before performing multi-level point cloud scanning on the steel sheet pile cofferdam of the dam by a preset three-dimensional laser scanner to obtain three-dimensional point cloud data, the method further includes: performing an all-round scan of the three-dimensional structure of the dam according to preset observation pier control points and based on a long-distance three-dimensional laser scanner to establish a coordinate system framework point cloud; performing observation scanning and analysis on the observation pier control points by means of the coordinate system framework point cloud to obtain observation three-dimensional point cloud data; performing a long-distance rough scan of the steel sheet piles and the sides of the dam on the two side frame structures by means of the coordinate system framework point cloud to obtain overall large-scale three-dimensional point cloud data; performing a short-distance fine scanning on the left and right sides of the steel sheet piles by means of the coordinate system framework point cloud to obtain local three-dimensional point cloud data on the surface of the steel sheet column.

[0010] In a feasible implementation, a preset three-dimensional laser scanner is used to perform multi-level point cloud scanning on the steel sheet pile cofferdam of the dam to obtain three-dimensional point cloud data, specifically including: determining the observed three-dimensional point cloud data as the positioning point cloud data of the coordinate system framework point cloud; determining the overall range three-dimensional point cloud data as the long-distance point cloud data based on the steel sheet piles; determining the local three-dimensional point cloud data as the short-distance point cloud data based on the steel sheet piles; wherein the three-dimensional point cloud data includes: the positioning point cloud data, the long-distance point cloud data and the short-distance point cloud data.

[0011] In a feasible implementation manner, the three-dimensional point cloud data is preprocessed to obtain uniform point density point cloud data of the steel sheet pile, specifically including: according to the positioning point cloud data in the three-dimensional point cloud data, the long-distance point cloud data and the short-distance point cloud data in the three-dimensional point cloud data are subjected to the elimination processing of the error point cloud data within the point cloud data inclusion range; the long-distance point cloud data is spliced, and the spliced ​​point cloud data is adjusted to obtain uniform long-distance point cloud data; the uniform long-distance point cloud data is spliced ​​into the coordinate system framework point cloud to obtain uniform point cloud data; the short-distance point cloud data is spliced ​​into the coordinate system framework point cloud to obtain density point cloud data; the uniform point cloud data is fused with the density point cloud data to obtain the uniform point density point cloud data.

[0012] In a feasible implementation, before performing the least squares circle steel sheet pile cylinder deformation analysis on the uniform point density point cloud data to obtain the change trend data based on the steel sheet pile cylinder, the method further includes: establishing a steel sheet pile cofferdam overall elevation point cloud model based on the uniform point density point cloud data; using the steel sheet pile cofferdam overall elevation point cloud model, cylinder modeling is performed on each of the steel sheet piles, and the axis of each of the steel sheet pile cylinders is determined. .

[0013] In a feasible implementation manner, the uniform point density point cloud data is subjected to a least squares circle deformation analysis of a steel sheet pile cylinder to obtain change trend data based on the steel sheet pile cylinder, specifically comprising: performing least squares circle fitting on the bottom and the top of the steel sheet pile cylinder through the overall vertical surface point cloud model of the steel sheet pile cofferdam to obtain a bottom deformation circle and a top deformation circle, and determining the top axis and the bottom axis; overlapping the bottom deformation circle with the top deformation circle to obtain a circular non-overlapping area; based on the circular non-overlapping area, performing an offset calculation on the offset amount between the top axis and the bottom axis to obtain an axis offset; performing an overall trend analysis on multiple circular sections in the steel sheet pile cylinder according to the circular non-overlapping area and the axis offset to obtain change trend data for each of the steel sheet pile cylinders.

[0014] In a feasible implementation manner, based on the change trend data obtained from different cross-sections in the steel sheet pile cylinder, the safety risk information of the dam is determined, specifically including: if the deformation trend value in the change trend data is less than or equal to a first preset threshold, the safety risk information of the dam is determined as low-risk safety risk information; if the deformation trend value in the change trend data is greater than the first preset threshold and less than or equal to a second preset threshold, the safety risk information is determined as medium-risk safety risk information; if the deformation trend value in the change trend data is greater than the second preset threshold, the safety risk information is determined as high-risk safety risk information; wherein, the safety risk information includes: the high-risk safety risk information, the medium-risk safety risk information and the low-risk safety risk information.

[0015] In a feasible implementation, after determining the safety risk information of the dam based on the change trend data obtained from different cross-sections in the steel sheet pile cylinder, the method further includes: generating corresponding warning information of different levels based on the high-risk safety risk information, the medium-risk safety risk information and the low-risk safety risk information in the safety risk information; and sending the warning information to a dam management center; wherein the dam management center includes at least: relevant departments and a public account.

[0016] In the second aspect, an embodiment of the present application also provides a vertical structure analysis device based on a reservoir dam body, the device comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions that can be executed by the at least one processor so that the at least one processor can perform a vertical structure analysis based on a reservoir dam body as described in any of the above-mentioned embodiments.

[0017] In the third aspect, an embodiment of the present application also provides a non-volatile computer storage medium, characterized in that the storage medium is a non-volatile computer-readable storage medium, and the non-volatile computer-readable storage medium stores at least one program, each of which includes instructions, and when the instructions are executed by a terminal, the terminal executes a facade structure analysis method based on a reservoir dam body as described in any of the above-mentioned embodiments.

[0018] The present application provides a method, device and medium for analyzing the facade structure of a reservoir dam body. Compared with the prior art, the embodiments of the present application have the following beneficial technical effects:

[0019] The embodiment of the present application extracts the three-dimensional deformation of the dam steel sheet pile facade structure to ensure the real-time monitoring and data analysis of small reservoirs, automatically identify potential safety risks, and issue early warning information in a timely manner to notify relevant departments and the public so that timely response measures can be taken to minimize possible disaster losses. In addition, the technical operation process and point cloud processing technology used can analyze the deformation of sections at different heights and the regularity of deformation directions. At the same time, the extracted three-dimensional deformation can provide a comprehensive, accurate, and high-precision reference for analyzing the bottom deformation and top deformation of the same side of the small reservoir, providing a reliable data basis for subsequent risk removal and reinforcement. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. In the drawings:

[0021] Figure 1 A flow chart of a vertical structure analysis method based on a reservoir dam body provided in an embodiment of the present application;

[0022] Figure 2 A structural schematic diagram based on the elevation structural analysis of a reservoir dam body provided in an embodiment of the present application. DETAILED DESCRIPTION

[0023] In order to enable those skilled in the art to better understand the technical solutions in this application, the technical solutions in the embodiments of this application will be clearly and completely described below in conjunction with the drawings in the embodiments of this application. Obviously, the described embodiments are only part of the embodiments of this application, not all of them. Based on the embodiments of this specification, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this application.

[0024] It should be noted that the accuracy of the actual application of 3D laser scanning technology is mainly affected by distance and scanning angle. Considering the limitation of the wide river surface on both sides of the site, it is impossible to carry out effective operations in the conventional way. Combining the advantages and disadvantages of long-distance and short-distance scanners, it is proposed to adopt the technical route of "long-distance scanner for large-scale control scanning and short-distance scanner for local fine scanning and splicing" to ensure the accuracy of deformation extraction.

[0025] Cofferdam: Cofferdam refers to a temporary enclosure structure built for the construction of permanent water conservancy facilities in water conservancy project construction. Its function is to prevent water and soil from entering the construction site of the building so that drainage can be carried out in the cofferdam, foundation pits can be excavated, and buildings can be built. It is generally used in hydraulic structures. Except as part of a formal building, the cofferdam is generally dismantled after use. The height of the cofferdam is higher than the highest water level that may occur during the construction period.

[0026] 3D laser scanning: 3D laser scanning technology is a non-contact active and rapid technology for obtaining 3D point clouds on the surface of an object by directly acquiring massive, spatially distributed 3D point clouds with 3D coordinates (X, Y, Z) and certain attributes of the object. Due to its non-contact, high efficiency, large amount of information, and high precision, 3D laser scanning technology is widely used in cultural relics protection, engineering construction, engineering monitoring, urban digitization and other fields.

[0027] The present application embodiment provides a vertical structure analysis method based on a reservoir dam body, such as Figure 1 As shown, the method for automatically monitoring the disorderly discharge of rainwater outlets specifically includes steps S101-S104:

[0028] It should be noted that the accuracy of the actual application of 3D laser scanning technology is mainly affected by distance and scanning angle. Considering the limitation of the wide river surface on both sides of the site, it is impossible to carry out effective operations in the conventional way. Combining the advantages and disadvantages of long-distance and short-distance scanners, it is proposed to adopt the technical route of "long-distance scanner for large-scale control scanning and short-distance scanner for local fine scanning and splicing" to ensure the accuracy of deformation extraction.

[0029] S101. Perform multi-layer point cloud scanning on the steel sheet pile cofferdam of the dam using a preset three-dimensional laser scanner to obtain three-dimensional point cloud data.

[0030] Specifically, it is necessary to first perform an all-round scan of the three-dimensional structure of the dam based on preset observation pier control points and a long-distance three-dimensional laser scanner to establish a coordinate system framework point cloud.

[0031] Furthermore, the observation pier control points are observed, scanned and analyzed through the coordinate system framework point cloud to obtain the observation three-dimensional point cloud data.

[0032] Furthermore, through the coordinate system framework point cloud, a long-distance and rough scan of the steel sheet piles and the two side frame structures of the dam side was performed to obtain the overall large-scale three-dimensional point cloud data.

[0033] Furthermore, through the coordinate system framework point cloud, a short-distance fine scan is performed on the left and right sides of the steel sheet pile to obtain local three-dimensional point cloud data on the surface of the steel sheet column.

[0034] Furthermore, it is also necessary to determine the observed 3D point cloud data as the positioning point cloud data of the coordinate system framework point cloud. Then the overall range 3D point cloud data is determined as the long-distance point cloud data based on the steel sheet piles; and the local 3D point cloud data is determined as the short-distance point cloud data based on the steel sheet piles. Among them, the 3D point cloud data includes: positioning point cloud data, long-distance point cloud data and short-distance point cloud data.

[0035] In one embodiment, long-distance 3D laser scanners are respectively set up at the three known observation pier control points nearby to perform a 360-degree scan of the surrounding environment, establish a coordinate system framework point cloud, and obtain observation 3D point cloud data. Taking the distance into consideration, a long-distance 3D laser scanner is set up at a suitable location to scan the Dajiang and Erjiang sides of the steel sheet piles respectively to obtain a large range of 3D point cloud data of the frame structure on both sides (overall large-range 3D point cloud data). It is also necessary to set up short-distance 3D laser scanners one by one on the cement foundation platform facing the river at the bottom of the steel sheet piles, and perform short and higher local refined scans on the steel sheet piles on both sides to obtain high-density 3D point cloud data (local 3D point cloud data) on the surface of the steel sheet column.

[0036] S102, preprocessing the three-dimensional point cloud data to obtain uniform point density point cloud data of the steel sheet pile.

[0037] Specifically, the positioning point cloud data in the three-dimensional point cloud data is first used to eliminate the error point cloud data within the range of the point cloud data for the long-distance point cloud data and the short-distance point cloud data in the three-dimensional point cloud data.

[0038] Furthermore, the long-distance point cloud data are spliced, and the spliced ​​point cloud data are adjusted to obtain uniform long-distance point cloud data.

[0039] Furthermore, the uniform long-distance point cloud data are spliced ​​into the coordinate system frame point cloud to obtain uniform point cloud data.

[0040] Furthermore, the short-distance point cloud data are spliced ​​into the coordinate system frame point cloud to obtain the density point cloud data.

[0041] Furthermore, the uniform point cloud data and the density point cloud data are fused to obtain uniform point density point cloud data.

[0042] S103, performing deformation analysis of the steel sheet pile cylinder related to the least squares circle on the uniform point density point cloud data to obtain variation trend data based on the steel sheet pile cylinder.

[0043] Specifically, based on the point cloud data with uniform point density, an overall elevation point cloud model of the steel sheet pile cofferdam is established.

[0044] Furthermore, through the overall elevation point cloud model of the steel sheet pile cofferdam, each steel sheet pile is modeled as a cylinder, and the axis of each steel sheet pile cylinder is determined.

[0045] Furthermore, through the overall elevation point cloud model of the steel sheet pile cofferdam, the least square circle fitting of the bottom and the top of the steel sheet pile cylinder is performed to obtain the bottom deformation circle and the top deformation circle, and the top axis and the bottom axis are determined.

[0046] Furthermore, the bottom deformed circle and the top deformed circle are overlapped to obtain a circular non-overlapping area.

[0047] Furthermore, based on the circular non-overlapping area, an offset calculation is performed between the top axis and the bottom axis to obtain the axis offset.

[0048] Furthermore, based on the circular non-overlapping area and the axis offset, an overall trend analysis is performed on multiple circular cross-sections in the steel sheet pile cylinder to obtain the change trend data of each steel sheet pile cylinder.

[0049] In one embodiment, after data processing and the overall elevation point cloud model of the steel sheet pile cofferdam is constructed, the point cloud data of a single steel sheet pile cylinder is extracted for modeling and analysis. The axis offset of the steel sheet pile cylinder is fitted with the least squares circle at the bottom and top sections of the cylinder. The bottom fitting of the cylinder basically maintains a circular shape with small deformation; while the top contact deviation is large and the deformation is more serious. The fitting circle represents the center of the top of the steel sheet pile cylinder. The centers of the bottom and top fitting circles are superimposed and compared to analyze their axis offset. Considering that the bottom of the steel sheet pile cylinder is cast with a reinforced concrete foundation platform and fixed, its deformation is small, so the bottom cross-sectional profile is used as the cross-sectional profile of the design model. The three-dimensional model of the steel sheet pile cylinder elevation is compared with the design model, and finally the change trend data of the steel sheet pile cylinder is obtained.

[0050] S104. Determine the safety risk information of the dam based on the change trend data of different cross sections in the steel sheet pile cylinder.

[0051] Specifically, if the deformation trend value in the change trend data is less than or equal to the first preset threshold, the safety risk information of the dam is determined as low-risk safety risk information. If the deformation trend value in the change trend data is greater than the first preset threshold and less than or equal to the second preset threshold, the safety risk information is determined as medium-risk safety risk information. If the deformation trend value in the change trend data is greater than the second preset threshold, the safety risk information is determined as high-risk safety risk information. Among them, the safety risk information includes: high-risk safety risk information, medium-risk safety risk information and low-risk safety risk information.

[0052] As a feasible implementation method, after determining the safety risk information of the dam based on the change trend data of different cross sections in the steel sheet pile cylinder, it is also possible to generate corresponding warning information of different levels based on the high-risk safety risk information, medium-risk safety risk information and low-risk safety risk information in the safety risk information; and send the warning information to the dam management center. The dam management center includes at least: relevant departments and public accounts.

[0053] In addition, the present application also provides a vertical structure analysis device based on a reservoir dam body, such as Figure 2 As shown, the vertical structure analysis device 200 based on the reservoir dam body specifically includes:

[0054] At least one processor 201. And a memory 202 in communication with the at least one processor 201. The memory 202 stores instructions that can be executed by the at least one processor 201, so that the at least one processor 201 can execute:

[0055] Through the preset 3D laser scanner, the steel sheet pile cofferdam of the dam is scanned at multiple levels to obtain 3D point cloud data;

[0056] Perform data preprocessing on the three-dimensional point cloud data to obtain uniform point density point cloud data of the steel sheet pile;

[0057] The uniform point density point cloud data is used to perform deformation analysis of the steel sheet pile cylinder related to the least squares circle to obtain the variation trend data based on the steel sheet pile cylinder;

[0058] Based on the change trend data obtained from different cross sections in the steel sheet pile cylinder, the safety risk information of the dam is determined.

[0059] The present application example is adopted.

[0060] Each embodiment in this application is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device and medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiments.

[0061] The devices and media provided in the embodiments of the present application correspond one-to-one to the methods. Therefore, the devices and media also have similar beneficial technical effects as the corresponding methods. Since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the devices and media will not be repeated here.

[0062] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0063] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0064] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0065] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0066] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0067] The memory may include non-permanent storage in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0068] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0069] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0070] The above is only an embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims

1. A vertical structure analysis method based on a reservoir dam body, characterized in that: The method comprises: Through the preset 3D laser scanner, the steel sheet pile cofferdam of the dam is scanned at multiple levels to obtain 3D point cloud data; Performing data preprocessing on the three-dimensional point cloud data to obtain uniform point density point cloud data of the steel sheet pile; The uniform point density point cloud data is subjected to the least squares circle-related steel sheet pile cylinder deformation analysis to obtain the variation trend data based on the steel sheet pile cylinder, specifically including: Through the overall elevation point cloud model of the steel sheet pile cofferdam, the least squares circle fitting of the bottom and the top of the steel sheet pile cylinder is performed to obtain the bottom deformation circle and the top deformation circle, and the top axis and the bottom axis are determined; Overlapping the bottom deformed circle with the top deformed circle to obtain a circular non-overlapping area; Based on the circular non-overlapping area, performing an offset calculation on the top axis and the bottom axis to obtain an axis offset; According to the circular non-overlapping area and the axis offset, an overall trend analysis is performed on a plurality of circular cross sections in the steel sheet pile cylinder to obtain change trend data of each of the steel sheet pile cylinders; Based on the change trend data obtained from different cross sections in the steel sheet pile cylinder, the safety risk information of the dam is determined.

2. The vertical structure analysis method based on a reservoir dam body according to claim 1 is characterized in that: Before performing multi-layer point cloud scanning on the steel sheet pile cofferdam of the dam by a preset three-dimensional laser scanner to obtain three-dimensional point cloud data, the method further includes: According to the preset observation pier control points and based on the long-distance three-dimensional laser scanner, the three-dimensional structure of the dam is scanned in all directions to establish a coordinate system framework point cloud; Through the coordinate system framework point cloud, the observation pier control points are observed, scanned and analyzed to obtain observation three-dimensional point cloud data; Through the coordinate system frame point cloud, the steel sheet piles and the dam side are roughly scanned over a long distance on the frame structures on both sides to obtain the overall large-scale three-dimensional point cloud data; By using the coordinate system framework point cloud, a short-distance fine scan is performed on the left and right sides of the steel sheet pile to obtain local three-dimensional point cloud data on the surface of the steel sheet pile.

3. The vertical structure analysis method based on a reservoir dam body according to claim 2 is characterized in that: The preset 3D laser scanner is used to perform multi-layer point cloud scanning on the steel sheet pile cofferdam of the dam to obtain 3D point cloud data, including: Determine the observed three-dimensional point cloud data as positioning point cloud data of the coordinate system framework point cloud; Determine the overall large-scale three-dimensional point cloud data as long-distance point cloud data based on the steel sheet piles; Determine the local three-dimensional point cloud data as short-distance point cloud data based on the steel sheet pile; The three-dimensional point cloud data includes: the positioning point cloud data, the long-distance point cloud data and the short-distance point cloud data.

4. The vertical structure analysis method based on a reservoir dam body according to claim 1 is characterized in that: The three-dimensional point cloud data is preprocessed to obtain uniform point density point cloud data of the steel sheet pile, specifically including: According to the positioning point cloud data in the three-dimensional point cloud data, the long-distance point cloud data and the short-distance point cloud data in the three-dimensional point cloud data are subjected to a process of eliminating the error point cloud data within the range included in the point cloud data; The long-distance point cloud data are spliced ​​and the spliced ​​point cloud data are adjusted to obtain uniform long-distance point cloud data; splicing the uniform long-distance point cloud data into the coordinate system frame point cloud to obtain uniform point cloud data; splicing the short-distance point cloud data into the coordinate system frame point cloud to obtain density point cloud data; The uniform point cloud data and the density point cloud data are fused to obtain the uniform point density point cloud data.

5. The vertical structure analysis method based on a reservoir dam body according to claim 1 is characterized in that: Before performing a least squares circle-related steel sheet pile cylinder deformation analysis on the uniform point density point cloud data to obtain change trend data based on the steel sheet pile cylinder, the method further includes: Based on the uniform point density point cloud data, a point cloud model of the overall elevation of the steel sheet pile cofferdam is established; Through the overall vertical point cloud model of the steel sheet pile cofferdam, a cylinder model is performed on each of the steel sheet piles, and the axis of each of the steel sheet pile cylinders is determined.

6. The vertical structure analysis method based on a reservoir dam body according to claim 1 is characterized in that: Based on the change trend data of different cross sections in the steel sheet pile cylinder, the safety risk information of the dam is determined, specifically including: If the deformation trend value in the change trend data is less than or equal to a first preset threshold, the safety risk information of the dam is determined as low-risk safety risk information; If the deformation trend value in the change trend data is greater than the first preset threshold and less than or equal to the second preset threshold, the security risk information is determined as medium-risk security risk information; If the deformation trend value in the change trend data is greater than the second preset threshold, the security risk information is determined as high-risk security risk information; The security risk information includes: the high-risk security risk information, the medium-risk security risk information and the low-risk security risk information.

7. The vertical structure analysis method based on a reservoir dam body according to claim 6 is characterized in that: After determining the safety risk information of the dam based on the change trend data obtained from different cross sections in the steel sheet pile cylinder, the method further includes: Based on the high-risk security risk information, the medium-risk security risk information, and the low-risk security risk information in the security risk information, generating corresponding warning information of different levels; The warning information is sent to a dam management center; wherein the dam management center at least includes: relevant departments and a public account.

8. A vertical structure analysis device based on a reservoir dam, characterized in that: The device comprises: at least one processor; and, a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, so that the at least one processor can execute the facade structure analysis method based on a reservoir dam body according to any one of claims 1-7.

9. A non-volatile computer storage medium, characterized in that: The storage medium is a non-volatile computer-readable storage medium, and the non-volatile computer-readable storage medium stores at least one program, each of which includes instructions, and when the instructions are executed by the terminal, the terminal executes a facade structure analysis method based on a reservoir dam body according to any one of claims 1-7.

Images