Hydraulic structure detection method based on high-resolution multi-beam sounding system

Abstract

The invention discloses a hydraulic structure detection method based on a high-resolution multi-beam sounding system, and relates to the technical field of hydraulic structure detection, and the method comprises the steps: 1, installing a multi-beam sounding device, and detecting a hydraulic structure through the high-resolution multi-beam sounding system; 2, collecting data through high-resolution multi-beam sounding equipment, and carrying out noise reduction processing on original measurement data; thirdly, abnormal data are automatically recognized and removed through the abnormal data recognition model; step 4, collecting the problem-free data, and analyzing and processing the problem-free data to obtain a data analysis and processing result; according to the hydraulic structure detection method based on the high-resolution multi-beam sounding system, the abnormal data is automatically identified and eliminated through the abnormal data identification model, the hydraulic structure detection efficiency is greatly improved, the abnormal data can be eliminated, and thus the workload of subsequent data analysis is reduced.

Description

Technical Field

[0001] The invention relates to the technical field of hydraulic structure detection, and in particular to a hydraulic structure detection method based on a high-resolution multi-beam bathymetric system. Background Art

[0002] Water transport engineering includes coastal, offshore or inland river engineering such as ports, waterways, breakwaters (sand dikes), revetments (seawalls), ship locks (navigation structures), docks, etc. Water transport engineering refers to port engineering, waterway engineering, navigation engineering, navigation structure engineering, ship repair and construction hydraulic structure engineering, installation engineering and support systems and their auxiliary and ancillary engineering. The multi-beam bathymetric system, also known as multi-beam bathymetric instrument, strip bathymetric instrument or multi-beam bathymetric sonar, was originally designed to improve the efficiency of seabed topography measurement. Compared with the traditional single-beam bathymetric system, which can only obtain a seabed measurement depth value vertically below the survey ship each time, multi-beam detection can obtain the seabed depth values ​​of multiple measurement points in a strip coverage area, realizing the leap from "point-line" measurement to "line-surface" measurement, and its technological progress is of great significance. The multi-beam bathymetric system is a complex combination system of multiple sensors, which is a highly integrated technology of modern signal processing technology, high-performance computer technology, high-resolution display technology, high-precision navigation and positioning technology, digital sensor technology and other related high-tech technologies. When hydraulic structures are currently inspected using a high-resolution multi-beam bathymetric system, abnormal data is easily generated due to the complexity of the environment and the complexity of the inspection work, which greatly increases the workload of subsequent data analysis, thus affecting the efficiency of hydraulic structure inspection. Summary of the invention

[0003] In view of the deficiencies in the prior art, the present invention provides a method for detecting hydraulic structures based on a high-resolution multi-beam bathymetric system, which solves the problems raised in the above-mentioned background technology.

[0004] To achieve the above objectives, the present invention is implemented through the following technical solutions: A method for detecting hydraulic structures based on a high-resolution multi-beam bathymetric system, comprising the following steps:

[0005] Step 1: Install and set up the multi-beam bathymetric equipment, and detect the hydraulic structures by using the high-resolution multi-beam bathymetric system;

[0006] Step 2: Collect data through high-resolution multi-beam bathymetric equipment and perform noise reduction on the original measurement data;

[0007] Step 3: Automatically identify and remove abnormal data through the abnormal data recognition model;

[0008] Step 4: Collect the problem-free data, analyze and process the problem-free data, and obtain the data analysis and processing results;

[0009] Step 5: Based on the results of the analysis and processing, analyze whether there are any safety hazards in the hydraulic structures.

[0010] Optionally, the step four: the process of automatically identifying and eliminating abnormal data through an abnormal data recognition model includes training the abnormal data recognition model with an abnormal data sample package, collecting data generated by a high-resolution multi-beam bathymetric system during detection, manually extracting abnormal data from the generated data, marking the abnormal data, organizing the abnormal data and extracting features of the abnormal data as abnormal data samples.

[0011] Optionally, in the process of automatically identifying and eliminating abnormal data through an abnormal data identification model, in step four, after the abnormal data identification model identifies the abnormal data, it is necessary to record the identified abnormal data and organize the recorded abnormal data to generate an abnormal record.

[0012] Optionally, the abnormal records obtained at regular intervals are extracted, and then the abnormal data in the abnormal records are analyzed, and the parameters in the high-resolution multi-beam bathymetric system are adjusted.

[0013] Optionally, the step five: analyzing whether there are any safety hazards in the hydraulic structure based on the results of the analysis and processing, wherein the safety hazards include concrete damage, cracks, exposed reinforcement, deformation, etc. of the hydraulic structure.

[0014] Optionally, the step 2: collecting data through high-resolution multi-beam bathymetric equipment, and performing noise reduction processing on the original measurement data, wherein the collected data is denoised by adopting a fuzzy clustering denoising method.

[0015] Optionally, the step one includes installing and setting up a multi-beam bathymetric device, inspecting hydraulic structures by using a high-resolution multi-beam bathymetric system, scanning underwater structures and underwater terrain by using the multi-beam bathymetric device, acquiring point cloud data by scanning, forming surfaces of various structures by using the point cloud data and splicing them into a three-dimensional model of the hydraulic structure, and evaluating and analyzing whether there are safety hazards in the hydraulic structure by using the three-dimensional model of the hydraulic structure.

[0016] The present invention provides a hydraulic structure detection method based on a high-resolution multi-beam bathymetric system, which has the following beneficial effects:

[0017] The hydraulic structure detection method based on the high-resolution multi-beam bathymetry system automatically identifies and eliminates abnormal data through an abnormal data recognition model, greatly improving the detection efficiency of hydraulic structures, and can eliminate abnormal data, thereby reducing the workload of subsequent data analysis. After the abnormal data recognition model identifies the abnormal data, it is necessary to record the identified abnormal data and organize the recorded abnormal data to generate abnormal records. The maintenance personnel analyze the abnormal data in the abnormal records at regular intervals, and then adjust the parameters in the high-resolution multi-beam bathymetry system to improve the detection efficiency of hydraulic structures. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a schematic diagram of the step structure of the present invention. DETAILED DESCRIPTION

[0019] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0020] See also Figure 1 The present invention provides a technical solution: a method for detecting hydraulic structures based on a high-resolution multi-beam bathymetric system, comprising the following steps:

[0021] Step 1: Install and set up the multi-beam bathymetric equipment, and detect the hydraulic structures by using the high-resolution multi-beam bathymetric system;

[0022] Step 2: Collect data through high-resolution multi-beam bathymetric equipment and perform noise reduction on the original measurement data;

[0023] Step 3: Automatically identify and remove abnormal data through the abnormal data recognition model;

[0024] Step 4: Collect the problem-free data, analyze and process the problem-free data, and obtain the data analysis and processing results;

[0025] Step 5: Based on the results of the analysis and processing, analyze whether there are any safety hazards in the hydraulic structures.

[0026] Furthermore, those skilled in the art may appreciate that step four: the process of automatically identifying and eliminating abnormal data through an abnormal data recognition model includes training the abnormal data recognition model with an abnormal data sample package, collecting data generated by a high-resolution multi-beam bathymetric system during detection, manually extracting abnormal data from the generated data, marking the abnormal data, organizing the abnormal data, and extracting features of the abnormal data as abnormal data samples.

[0027] Furthermore, those skilled in the art may know that in step 4: in the process of automatically identifying and eliminating abnormal data through an abnormal data identification model, after the abnormal data identification model identifies the abnormal data, it is necessary to record the identified abnormal data and organize the recorded abnormal data to generate an abnormal record.

[0028] Furthermore, those skilled in the art will appreciate that the abnormal records obtained at regular intervals are extracted, and then the abnormal data in the abnormal records are analyzed to adjust the parameters in the high-resolution multi-beam bathymetric system.

[0029] Furthermore, those skilled in the art may know that step five: based on the results of the analysis and processing, analyzing whether there are any safety hazards in the hydraulic structure, wherein the safety hazards include concrete damage, cracks, exposed reinforcement, deformation, etc. of the hydraulic structure.

[0030] Furthermore, those skilled in the art may know that in step 2: collecting data through high-resolution multi-beam bathymetric equipment, and performing noise reduction processing on the original measurement data, the collected data is denoised by adopting a fuzzy clustering denoising method.

[0031] Further, those skilled in the art may know that step one: install and set up multi-beam bathymetry equipment, detect hydraulic structures by using a high-resolution multi-beam bathymetry system, scan underwater structures and underwater terrain by using the multi-beam bathymetry equipment, obtain point cloud data by scanning, form surfaces of various structures through the point cloud data and splice them into a three-dimensional model of the hydraulic structure, and evaluate and analyze whether there are safety hazards in the hydraulic structure through the three-dimensional model of the hydraulic structure.

[0032] In summary, the hydraulic structure detection method based on the high-resolution multi-beam bathymetric system is used.

[0033] Install and set up multi-beam bathymetry equipment, detect hydraulic structures by using high-resolution multi-beam bathymetry system, scan underwater structures and underwater terrain by using multi-beam bathymetry equipment, obtain point cloud data by scanning, denoise the collected point cloud data by fuzzy clustering method, identify abnormal data in the detection data by abnormal data recognition model, record the identified abnormal data after the abnormal data recognition model identifies the abnormal data, organize the recorded abnormal data, generate abnormal records, extract the abnormal records obtained at intervals, and then analyze the abnormal data in the abnormal records, maintenance personnel adjust the components in the high-resolution multi-beam bathymetry system, form the surface of each structure into a three-dimensional model of hydraulic structures through point cloud data, and evaluate and analyze whether there are safety hazards in hydraulic structures through the three-dimensional model of hydraulic structures. Safety hazards include concrete damage, cracks, exposed reinforcement, deformation and other conditions of hydraulic structures.

[0034] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A method for detecting hydraulic structures based on a high-resolution multi-beam bathymetric system, characterized in that: The following steps are involved: Step 1: Install and set up the multi-beam bathymetric equipment, and detect the hydraulic structures by using the high-resolution multi-beam bathymetric system; Step 2: Collect data through high-resolution multi-beam bathymetric equipment and perform noise reduction on the original measurement data; Step 3: Automatically identify and remove abnormal data through the abnormal data recognition model; Step 4: Collect the problem-free data, analyze and process the problem-free data, and obtain the data analysis and processing results; Step 5: Based on the results of the analysis and processing, analyze whether there are any safety hazards in the hydraulic structures.

2. A method for detecting hydraulic structures based on a high-resolution multi-beam bathymetric system according to claim 1, characterized in that: The step four: the process of automatically identifying and eliminating abnormal data through an abnormal data recognition model includes the abnormal data recognition model being trained with an abnormal data sample package, collecting data generated by a high-resolution multi-beam bathymetric system during detection, manually extracting abnormal data from the generated data, marking the abnormal data, organizing the abnormal data and extracting features of the abnormal data as abnormal data samples.

3. The method for detecting hydraulic structures based on a high-resolution multi-beam bathymetric system according to claim 1, characterized in that: The step 4: in the process of automatically identifying and eliminating abnormal data through the abnormal data identification model, after the abnormal data identification model identifies the abnormal data, it is necessary to record the identified abnormal data and organize the recorded abnormal data to generate an abnormal record.

4. The method for detecting hydraulic structures based on a high-resolution multi-beam bathymetric system according to claim 1, characterized in that: The abnormal records obtained at regular intervals are extracted, and then the abnormal data in the abnormal records are analyzed, and the parameters in the high-resolution multi-beam bathymetric system are adjusted.

5. The method for detecting hydraulic structures based on a high-resolution multi-beam bathymetric system according to claim 1, characterized in that: The step five: according to the result of the analysis and processing, analyzing whether there are potential safety hazards in the hydraulic structure, wherein the potential safety hazards include concrete damage, cracks, exposed reinforcement, deformation, etc. of the hydraulic structure.

6. The method for detecting hydraulic structures based on a high-resolution multi-beam bathymetric system according to claim 1, characterized in that: The second step is to collect data through high-resolution multi-beam bathymetric equipment, and perform noise reduction processing on the original measurement data, wherein the collected data is denoised by adopting a fuzzy clustering denoising method.

7. The method for detecting hydraulic structures based on a high-resolution multi-beam bathymetric system according to claim 1, characterized in that: The step one is to install and set up multi-beam bathymetry equipment, detect hydraulic structures by using a high-resolution multi-beam bathymetry system, scan underwater structures and underwater terrain by using the multi-beam bathymetry equipment, obtain point cloud data by scanning, form surfaces of various structures by using the point cloud data, and splice them into a three-dimensional model of the hydraulic structure, and use the three-dimensional model of the hydraulic structure to evaluate and analyze whether there are safety hazards in the hydraulic structure.

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