Water conservancy project building area investigation method and system based on laser radar

Abstract

The invention discloses a water conservancy project building area investigation method and system based on a laser radar, and relates to the technical field of water conservancy project investigation, a plurality of control points are arranged in an investigation area corresponding to a water conservancy project, and laser radar equipment is deployed and debugged at each control point; when the working state of the laser radar equipment meets the requirement, starting the laser radar equipment to carry out three-dimensional scanning on the investigation area, obtaining three-dimensional coordinate information of a hydraulic engineering building on the surface of a region corresponding to the investigation area through three-dimensional scanning, and carrying out coordinate mapping conversion on the three-dimensional coordinate information, the method comprises the following steps of: acquiring the building point cloud data of all water conservancy project buildings in an investigation area, performing feature extraction on the building point cloud data to acquire the building feature information of each water conservancy project building, inputting all the building feature information into a preset information base, and matching to generate an investigation report corresponding to each water conservancy project building.

Description

Technical Field

[0001] The present invention relates to the technical field of water conservancy project survey, and specifically to a survey method and system for water conservancy project construction areas based on lidar. Background Technique

[0002] In the existing survey technologies for water conservancy project construction areas, traditional survey methods are usually combined with a small amount of laser scanning technology to obtain the three-dimensional information of the construction area. These methods often rely on manual measurement and inefficient data processing processes, resulting in certain errors in the survey results.

[0003] In addition, after the existing technology performs three-dimensional scanning on the survey area corresponding to the water conservancy project construction, the conversion of coordinate information and the processing of point cloud data are usually relatively complex, and there is a lack of means for effectively extracting features from the coordinate information. Therefore, there is an urgent need for an efficient and automated survey method to improve the accuracy and efficiency of the survey of water conservancy project construction areas. Summary of the Invention

[0004] In order to solve the above problems, the purpose of the present invention is to provide a survey method and system for water conservancy project construction areas based on lidar.

[0005] The purpose of the present invention can be achieved through the following technical solutions: A survey method for water conservancy project construction areas based on lidar includes the following steps: Step S1: Arrange a number of control points in the survey area corresponding to the water conservancy project, and deploy and debug lidar equipment at each control point. When the working state of the lidar equipment meets the requirements, start the lidar equipment to perform three-dimensional scanning on the survey area; Step S2: Obtain the three-dimensional coordinate information of the water conservancy project buildings on the surface of the corresponding area of the survey area through three-dimensional scanning, and perform coordinate mapping conversion on the three-dimensional coordinate information, and then obtain the building point cloud data of all water conservancy project buildings in the survey area; Step S3: Extract features from the building point cloud data, and then obtain the building feature information of each water conservancy project building, and input all the building feature information into a preset information library to match and generate a survey report for each water conservancy project building.

[0006] Further, the process of arranging a number of control points in the survey area corresponding to the water conservancy project and deploying and debugging lidar equipment at each control point includes: Arrange a number of control points in the survey area that needs to be surveyed, number them, and record the numbers as i, i = 1, 2, 3,..., n, where n is a natural number greater than 0. The number of control points is arranged at equal intervals. Install and deploy lidar equipment at each control point, and determine whether the lidar equipment is in a normal working state; If so, the lidar device at the corresponding control point is successfully debugged; If not, the lidar device is not in a normal working state yet, and continue to debug the lidar device.

[0007] Furthermore, when the working state of the lidar device meets the requirements, the process of starting the lidar device to perform three-dimensional scanning on the survey area includes: When the lidar device is in a normal working state, its working state meets the requirements. Synchronously start the lidar devices at several control points, and construct the scanning start point, scanning end point, scanning path, scanning angle, and scanning mode of the lidar device, which are used as the corresponding scanning work set of the lidar device; The scanning mode includes single scan and continuous scan; The angular range of the scanning angle is 0 - 180°; Each lidar device starts from the scanning start point and performs three-dimensional scanning on all hydraulic engineering buildings distributed in the survey area in sequence according to the scanning path, and stops the current three-dimensional scanning at the scanning end point. The three-dimensional scanning initially is a single scan. The lidar device emits laser pulses, the hydraulic engineering buildings in the survey area receive the laser pulses and reflect them, and the receiver on the lidar device records the optical signals reflected by the laser pulses; If there is a scanning blind area when the current lidar device performs three-dimensional scanning on the hydraulic engineering building, switch the scanning mode of the lidar device to continuous scan, and the lidar device continues to perform three-dimensional scanning on the scanning blind area and receive the reflected optical signals.

[0008] Furthermore, the process of obtaining the three-dimensional coordinate information of the hydraulic engineering buildings on the surface of the corresponding area of the survey area through three-dimensional scanning includes: Arrange analog-to-digital conversion devices in the survey area, input the optical signals of the hydraulic engineering buildings obtained by the lidar device through three-dimensional scanning into the analog-to-digital conversion devices. The analog-to-digital conversion devices convert all the optical signals into analog signals, and then convert all the analog signals into corresponding digital signals; The digital signals record the three-dimensional coordinates of the key points corresponding to each hydraulic engineering building, and the signal intensity corresponding to the optical signal reflected by each key point. The signal intensity is inversely proportional to the reflection distance. Integrate the three-dimensional coordinates of the key points of each hydraulic engineering building on the surface of the corresponding area of the survey area and the signal intensity of the optical signal reflected by the three-dimensional coordinates of each key point into the three-dimensional coordinate information of the corresponding hydraulic engineering building.

[0009] Furthermore, the process of performing coordinate mapping transformation on the three-dimensional coordinate information to obtain the building point cloud data of all hydraulic engineering buildings in the survey area includes: Construct a standard three-dimensional coordinate system, which includes a coordinate X-axis, a coordinate Y-axis, and a coordinate Z-axis. Determine the coordinate mapping reference points of each water conservancy project building on the standard three-dimensional coordinate system according to the signal strength in its three-dimensional coordinate information; Perform coordinate translation transformation, coordinate rotation transformation, and coordinate scaling transformation on the three-dimensional coordinates of all key points on each water conservancy project building through a coordinate conversion algorithm, and map all key points of all water conservancy project buildings to the standard three-dimensional coordinate system, so as to obtain the initial building point cloud data of each water conservancy project building on the corresponding standard three-dimensional coordinate system in the current survey area; Perform data filtering on the initial building point cloud data of each water conservancy project building, remove the noise points, redundant data, and irrelevant ground object interference information around the water conservancy project building in the corresponding building point cloud data, and retain the building point cloud data corresponding to the main body of each water conservancy project building, which is used as the final building point cloud data of all water conservancy project buildings in the survey area.

[0010] Furthermore, the process of extracting the building feature information of each water conservancy project building by extracting features from the building point cloud data includes: Perform point cloud segmentation on the building point cloud data corresponding to each water conservancy project building, and then divide the current building point cloud data into several regional point cloud data, and each regional point cloud data is used to represent a certain building area on the current water conservancy project building; Extract features from the regional point cloud data corresponding to each water conservancy project building in turn. Feature extraction includes geometric feature extraction, topological feature extraction, and attribute feature extraction. Obtain the geometric features corresponding to each water conservancy project building through geometric feature extraction, obtain the topological features corresponding to each water conservancy project building through topological feature extraction, and obtain the attribute features corresponding to each water conservancy project building through attribute feature extraction; Summarize the geometric features, topological features, and attribute features of each water conservancy project building, which are used as the building feature information of the corresponding water conservancy project building. Number each water conservancy project building, and bind the building feature information of each water conservancy project building with its number.

[0011] Furthermore, the process of inputting all the building feature information into a preset information database and matching to generate the survey report of each water conservancy project building includes: Preset an information database, which stores a number of building description information and information embedding keywords for integrating information between building description information. The building description information is text information for describing the building situation of water conservancy project buildings; The building description information records the building appearance of the current water conservancy project building, the topographical features around the water conservancy project building, and the hydrological details around the water conservancy project building. All the building feature information of each water conservancy project building is input into the information database, and all the building description information corresponding to the current water conservancy project building is matched from the information database. Then, the subordinate relationship between every two pieces of building description information is judged through information embedding keywords. The two pieces of building description information that meet the subordinate relationship are integrated, and no operation is performed on the two pieces of building description information that do not meet the subordinate relationship; Allocate an exploration report template for each water conservancy project building, and input all the text information matched from the information database of each water conservancy project building into its respective exploration report template, and then match and generate the exploration report for each water conservancy project building respectively.

[0012] Furthermore, a water conservancy project building area exploration system based on lidar includes: Lidar deployment module, arranging several control points in the exploration area corresponding to the water conservancy project, and deploying and debugging lidar equipment at each control point. When the working state of the lidar equipment meets the requirements, start the lidar equipment to perform three-dimensional scanning on the exploration area; Point cloud data acquisition module, obtaining the three-dimensional coordinate information of the water conservancy project building on the surface of the corresponding area of the exploration area through three-dimensional scanning, and performing coordinate mapping conversion on the three-dimensional coordinate information, so as to obtain the building point cloud data of all water conservancy project buildings in the exploration area; Exploration report acquisition module, extracting features from the building point cloud data, obtaining the building feature information of each water conservancy project building, and inputting all the building feature information into a preset information database to match and generate the exploration report of each water conservancy project building.

[0013] Compared with the prior art, the beneficial effects of the present invention are: 1. By arranging several control points in the exploration area corresponding to the water conservancy project, and deploying and debugging lidar equipment at each control point. When the working state of the lidar equipment meets the requirements, start the lidar equipment to perform three-dimensional scanning on the exploration area to obtain the three-dimensional coordinate information of the water conservancy project building on the surface of the corresponding area of the exploration area. The deployment and debugging of lidar equipment at multiple control points effectively improve the measurement accuracy of the exploration and survey of the exploration area, and ensure the acquisition of high-quality data of the three-dimensional coordinate information corresponding to the water conservancy project building in the exploration area.

[0014] 2. Perform coordinate mapping transformation on the three-dimensional coordinate information to obtain the building point cloud data of all water conservancy project buildings in the survey area. Extract features from the building point cloud data, obtain the building feature information of each water conservancy project building, and input it into the information database. Match and generate the survey report for each water conservancy project building, providing a method to effectively convert the three-dimensional coordinate information of water conservancy project buildings into corresponding building point cloud data, and automatically match and generate the survey report for each water conservancy project building, improving the automation degree of information management and realizing the high-efficiency survey of water conservancy project building areas. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a flowchart of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0016] As Figure 1 shown, a method for surveying water conservancy project building areas based on lidar includes the following steps: Step S1: Arrange a number of control points in the survey area corresponding to the water conservancy project, and deploy and debug lidar equipment at each control point. When the working state of the lidar equipment meets the requirements, start the lidar equipment to perform three-dimensional scanning on the survey area; Step S2: Obtain the three-dimensional coordinate information of the water conservancy project buildings on the surface of the corresponding area of the survey area through three-dimensional scanning, and perform coordinate mapping transformation on the three-dimensional coordinate information to obtain the building point cloud data of all water conservancy project buildings in the survey area; Step S3: Extract features from the building point cloud data to obtain the building feature information of each water conservancy project building, and input all the building feature information into a preset information database to match and generate the survey report for each water conservancy project building.

[0017] It should be further noted that, in the specific implementation process, the process of arranging a number of control points in the survey area corresponding to the water conservancy project and deploying and debugging lidar equipment at each control point includes: Arrange a number of control points in the survey area corresponding to the water conservancy project to be surveyed, number the a number of control points, and record the number as i, where i = 1, 2, 3,..., n, and n is a natural number greater than 0; The a number of control points are arranged at equal intervals, and the arrangement distance between every two control points is recorded as X, where the value range of X is [30, 60]. Install and deploy lidar equipment at each control point, and determine whether the lidar equipment is in a normal working state; Obtain the scanning range, scanning speed, and scanning resolution corresponding to the lidar equipment; Set the calibration range interval corresponding to the scanning range; Set the speed limit range corresponding to the scanning speed; Set the resolution range corresponding to the scanning resolution; Debug the lidar devices deployed at each control point in sequence. When the scanning range of a lidar device is within the calibration range interval, its scanning speed is within the speed limit range, and its scanning resolution is within the resolution range, the lidar device at the corresponding control point is considered debugged and is in a normal working state. Otherwise, the lidar device is not in a normal working state, and debugging of the lidar device continues.

[0018] It should be further noted that in the specific implementation process, when the working state of the lidar device meets the requirements, the process of starting the lidar device to perform three-dimensional scanning of the survey area includes: When the lidar device is in a normal working state, its working state meets the requirements. Synchronously start the lidar devices at several control points, and construct the scanning start point, scanning end point, scanning path, scanning angle, and scanning mode of the lidar devices, which are used as the corresponding scanning work set of the lidar devices; The scanning mode includes single scan and continuous scan; The angular range of the scanning angle is 0 - 180°; Each lidar device starts from the scanning start point and performs three-dimensional scanning on all water conservancy project buildings distributed in the survey area in sequence along the scanning path, and stops the current three-dimensional scanning at the scanning end point. The three-dimensional scanning initially is a single scan. The lidar device emits laser pulses, the water conservancy project buildings in the survey area receive the laser pulses and reflect them, and the receiver on the lidar device records the optical signals reflected by the laser pulses. If a scanning blind area occurs when the current lidar device performs three-dimensional scanning on a water conservancy project building, switch the scanning mode of the lidar device to continuous scan, and the lidar device continues to perform three-dimensional scanning on the scanning blind area and receives the reflected optical signals.

[0019] It should be further noted that in the specific implementation process, the process of obtaining the three-dimensional coordinate information of the water conservancy project buildings on the surface of the corresponding area of the survey area through three-dimensional scanning includes: Arrange analog-to-digital conversion devices in the survey area, and input all the optical signals of the water conservancy project buildings on the surface of the corresponding area of the survey area obtained by the lidar device through three-dimensional scanning into the analog-to-digital conversion devices. Then, the analog-to-digital conversion devices first convert all the optical signals into analog signals, and then convert all the analog signals into corresponding digital signals; The digital signal records the three-dimensional coordinates of the key points corresponding to each hydraulic engineering building, as well as the signal intensity corresponding to the optical signal reflected by each key point. The signal intensity is inversely proportional to the reflection distance, that is: when the reflection distance is farther, the signal intensity corresponding to the optical signal reflected by the laser pulse emitted by the lidar device is lower; when the reflection distance is closer, the signal intensity corresponding to the optical signal reflected by the laser pulse reflected by the lidar device is higher. Integrate the three-dimensional coordinates of the key points of each hydraulic engineering building on the surface of the corresponding area of the survey area, and the signal intensity of the optical signal reflected by the three-dimensional coordinates of each key point, into the three-dimensional coordinate information of the corresponding hydraulic engineering building.

[0020] It should be further noted that in the specific implementation process, the process of performing coordinate mapping transformation on the three-dimensional coordinate information and then obtaining the building point cloud data of all hydraulic engineering buildings in the survey area includes: Construct a standard three-dimensional coordinate system. The standard three-dimensional coordinate system includes the coordinate X-axis, the coordinate Y-axis, and the coordinate Z-axis. The coordinate X-axis, the coordinate Y-axis, and the coordinate Z-axis are perpendicular to each other pairwise. Determine the coordinate mapping reference points of the hydraulic engineering buildings on the standard three-dimensional coordinate system according to the signal intensity in their three-dimensional coordinate information. After performing coordinate translation transformation, coordinate rotation transformation, and coordinate scaling transformation on the three-dimensional coordinates of all key points on each hydraulic engineering building through the coordinate transformation algorithm, map all the key points of all hydraulic engineering buildings to the standard three-dimensional coordinate system, and then obtain the initial building point cloud data of each hydraulic engineering building on the corresponding standard three-dimensional coordinate system in the current survey area. Perform data filtering on the initial building point cloud data of each hydraulic engineering building, and then remove the noise points, redundant data, and irrelevant ground object interference information around the hydraulic engineering building from the corresponding building point cloud data. Retain the building point cloud data corresponding to the main body of each hydraulic building project and use it as the final building point cloud data of all hydraulic engineering buildings in the survey area.

[0021] It should be further noted that in the specific implementation process, the process of performing feature extraction on the building point cloud data and then obtaining the building feature information of each hydraulic engineering building includes: Perform point cloud segmentation on the building point cloud data corresponding to each hydraulic engineering building, and then divide the current building point cloud data into several regional point cloud data. Each regional point cloud data is used to represent a certain building area on the current hydraulic engineering building. Feature extraction is successively performed on the regional point cloud data corresponding to each hydraulic engineering building. The feature extraction includes geometric feature extraction, topological feature extraction, and attribute feature extraction. Through geometric feature extraction, geometric features corresponding to each hydraulic engineering building are obtained. The geometric features include building height, building length, building width, building volume, and building surface area, and also include the building contours and geometric shapes of several specific building units on the hydraulic engineering building; Through topological feature extraction, topological features corresponding to each hydraulic engineering building are obtained. The topological features include the connection relationship, adjacency relationship, and inclusion relationship between specific building units, and are used to determine the positions and sizes of entrances, exits, windows, doors, etc. on the hydraulic engineering building; Through attribute feature extraction, attribute features corresponding to each hydraulic engineering building are obtained. The attribute features include the color distribution, texture distribution, and structure distribution of the building. Through the attribute features, the material type, material state, and other related visual features of the hydraulic engineering building can be obtained; The geometric features, topological features, and attribute features of each hydraulic engineering building are summarized, and then used as the building feature information of the corresponding hydraulic engineering building. Each hydraulic building project is numbered, and the building feature information of each hydraulic building project is bound to its number.

[0022] It should be further noted that in the specific implementation process, the process of inputting all the building feature information into a preset information database and matching to generate the inspection report for each hydraulic engineering building includes: Preset information database, which stores several building description information and information embedding keywords for information integration between building description information. The building description information is text information for describing the building situation of the hydraulic engineering building; The building description information records the building appearance situation of the current hydraulic engineering building, the topographic and geomorphic features around the hydraulic engineering building, and the hydrological details around the hydraulic engineering building. All the building feature information of each hydraulic engineering building is input into the information database; All the building description information corresponding to the current hydraulic engineering building is matched from the information database, and the subordinate relationship between every two building description information is judged through the information embedding keywords. The two building description information that meet the subordinate relationship are integrated to serve as the text information for describing the corresponding building situation of the current hydraulic engineering building, and no operation is performed on the two building description information that do not meet the subordinate relationship; An inspection report template is assigned to each hydraulic engineering building, and all the text information matched by each hydraulic engineering building from the information database is entered into its respective inspection report template, and then the inspection report for each hydraulic engineering building is generated by matching.

[0023] The present invention also provides a lidar-based survey system for water conservancy project construction areas, which system comprises: A lidar deployment module, which arranges a number of control points in the survey area corresponding to the water conservancy project, and deploys and debugs lidar devices at each control point. When the working state of the lidar devices meets the requirements, the lidar devices are started to perform three-dimensional scanning on the survey area; A point cloud data acquisition module, which obtains the three-dimensional coordinate information of water conservancy project buildings on the surface of the corresponding area of the survey area through three-dimensional scanning, and performs coordinate mapping conversion on the three-dimensional coordinate information, so as to obtain the building point cloud data of all water conservancy project buildings in the survey area; A survey report acquisition module, which extracts features from the building point cloud data, thereby obtaining the building feature information of each water conservancy project building, and inputs all the building feature information into a preset information database to match and generate a survey report for each water conservancy project building.

[0024] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical method of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A method for surveying a water conservancy project construction area based on lidar, characterized in that, It includes the following steps: Step S1: Deploy a number of control points in the survey area corresponding to the water conservancy project, and deploy and debug lidar equipment at each control point. When the working state of the lidar equipment meets the requirements, start the lidar equipment to perform 3D scanning on the survey area; Step S2: Obtain the 3D coordinate information of the water conservancy project buildings on the surface of the corresponding area of the survey area through 3D scanning, and perform coordinate mapping transformation on the 3D coordinate information, and then obtain the building point cloud data of all water conservancy project buildings in the survey area; Step S3: Extract features from the building point cloud data, and then obtain the building feature information of each water conservancy project building, and input all the building feature information into a preset information library to match and generate the survey report of each water conservancy project building.

2. The method for surveying a water conservancy project construction area based on lidar according to claim 1, characterized in that, The process of deploying a number of control points in the survey area corresponding to the water conservancy project and deploying and debugging lidar equipment at each control point includes: Deploy a number of control points in the survey area that needs to be surveyed, number them, and record the number as i, i = 1, 2, 3,..., n, where n is a natural number greater than 0. The number of control points is arranged at equal intervals. Install and deploy lidar equipment at each control point, and judge whether the lidar equipment is in a normal working state; If so, the lidar equipment at the corresponding control point is debugged; If not, the lidar equipment is not in a normal working state, and continue to debug the lidar equipment.

3. The method for surveying a water conservancy project construction area based on lidar according to claim 2, characterized in that, The process of starting the lidar equipment to perform 3D scanning on the survey area when the working state of the lidar equipment meets the requirements includes: When the lidar equipment is in a normal working state, the working state of the lidar equipment meets the requirements. Synchronously start the lidar equipment at a number of control points, and construct the scanning start point, scanning end point, scanning path, scanning angle and scanning mode of the lidar equipment, and use them as the corresponding scanning working set of the lidar equipment; The scanning mode includes single scan and continuous scan; The angular range of the scanning angle is 0-180°; Each lidar equipment starts from the scanning start point and sequentially performs 3D scanning on all water conservancy project buildings distributed in the survey area according to the scanning path, and stops the current 3D scanning at the scanning end point. The 3D scanning initially is a single scan. The lidar equipment emits laser pulses, and the water conservancy project buildings in the survey area receive the laser pulses and reflect the laser pulses. The receiver on the lidar equipment records the optical signals reflected by the laser pulses; If there is a scanning blind area when the current lidar equipment performs 3D scanning on the water conservancy project building, switch the scanning mode of the lidar equipment to continuous scan, and the lidar equipment continues to perform 3D scanning on the scanning blind area and receive the reflected optical signals.

4. The method for surveying a water conservancy project construction area based on lidar according to claim 3, characterized in that, The process of obtaining the 3D coordinate information of the water conservancy project buildings on the surface of the corresponding area of the survey area through 3D scanning includes: Arrange analog-to-digital conversion devices in the survey area, input the optical signals of the hydraulic engineering buildings obtained by the lidar device through three-dimensional scanning into the analog-to-digital conversion devices, convert all the optical signals into analog signals by the analog-to-digital conversion devices, and then convert all the analog signals into corresponding digital signals; The digital signals record the three-dimensional coordinates of the key points corresponding to each hydraulic engineering building, and the signal intensity corresponding to the optical signal reflected by each key point. The signal intensity is inversely proportional to the reflection distance. Integrate the three-dimensional coordinates of the key points of each hydraulic engineering building on the corresponding regional surface of the survey area and the signal intensity of the optical signal reflected by the three-dimensional coordinates of each key point into the three-dimensional coordinate information of the corresponding hydraulic engineering building.

5. A method for surveying a water conservancy project construction area based on lidar according to claim 4, characterized in that, The process of performing coordinate mapping transformation on the three-dimensional coordinate information to obtain the building point cloud data of all hydraulic engineering buildings in the survey area includes: Construct a standard three-dimensional coordinate system, which includes the coordinate X-axis, the coordinate Y-axis, and the coordinate Z-axis. Determine the coordinate mapping reference points of the hydraulic engineering buildings on the standard three-dimensional coordinate system according to the signal intensity in their three-dimensional coordinate information; After performing coordinate translation transformation, coordinate rotation transformation, and coordinate scaling transformation on the three-dimensional coordinates of all key points on each hydraulic engineering building through the coordinate transformation algorithm, map all the key points of all hydraulic engineering buildings to the standard three-dimensional coordinate system, and then obtain the preliminary building point cloud data of each hydraulic engineering building on the corresponding standard three-dimensional coordinate system in the current survey area; Perform data filtering on the preliminary building point cloud data of each hydraulic engineering building, remove the noise points, redundant data, and irrelevant ground object interference information around the hydraulic engineering buildings from the corresponding building point cloud data, and retain the building point cloud data corresponding to the main body of each hydraulic building project as the final building point cloud data of all hydraulic engineering buildings in the survey area.

6. The method for surveying a water conservancy project construction area based on lidar according to claim 5, wherein The process of extracting features from the building point cloud data to obtain the building feature information of each hydraulic engineering building includes: Perform point cloud segmentation on the building point cloud data corresponding to each hydraulic engineering building, and then divide the current building point cloud data into several regional point cloud data, and each regional point cloud data is used to represent a certain building area on the current hydraulic engineering building; Extract features from the regional point cloud data corresponding to each hydraulic engineering building in turn. Feature extraction includes geometric feature extraction, topological feature extraction, and attribute feature extraction. Obtain the geometric features corresponding to each hydraulic engineering building through geometric feature extraction, obtain the topological features corresponding to each hydraulic engineering building through topological feature extraction, and obtain the attribute features corresponding to each hydraulic engineering building through attribute feature extraction; Summarize the geometric features, topological features, and attribute features of each hydraulic engineering building, and then use them as the building feature information of the corresponding hydraulic engineering building. Number each hydraulic building project and bind the building feature information of each hydraulic building project with its number.

7. A method for surveying a water conservancy project construction area based on lidar according to claim 6, characterized in that, The process of inputting all the building feature information into a preset information database to match and generate the survey report of each hydraulic engineering building includes: A preset information library stores a number of building description information and information embedding keywords for integrating information between building description information. The building description information is text information for describing the building situation of a hydraulic engineering building. The building description information records the building appearance of the current hydraulic engineering building, the topographical features around the hydraulic engineering building, and the hydrological details around the hydraulic engineering building. All the building feature information of each hydraulic engineering building is input into the information library, and all the building description information corresponding to the current hydraulic engineering building is matched from the information library. The subordinate relationship between every two building description information is judged through the information embedding keywords, and the two building description information that meet the subordinate relationship are integrated, and no operation is performed on the two building description information that do not meet the subordinate relationship. An investigation report template is assigned to each hydraulic engineering building, and all the text information matched by each hydraulic engineering building from the information library is entered into its respective investigation report template, and then the investigation report of each hydraulic engineering building is generated by matching.

8. A lidar-based survey system for a water conservancy project construction area, which is used to implement the water conservancy project construction area survey method described in any one of claims 1 to 7, characterized in that The system includes: A lidar deployment module arranges a number of control points in the investigation area corresponding to the hydraulic project, and deploys and debugs lidar equipment at each control point. When the working state of the lidar equipment meets the requirements, the lidar equipment is started to perform three-dimensional scanning on the investigation area. A point cloud data acquisition module obtains the three-dimensional coordinate information of the hydraulic engineering building on the surface of the area corresponding to the investigation area through three-dimensional scanning, and performs coordinate mapping conversion on the three-dimensional coordinate information, and then obtains the building point cloud data of all the hydraulic engineering buildings in the investigation area. An investigation report acquisition module extracts the features of the building point cloud data, and then obtains the building feature information of each hydraulic engineering building, and inputs all the building feature information into the preset information library to generate the investigation report of each hydraulic engineering building by matching.

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