Perpendicularity detection method and system for settlement observation rod

Abstract

The invention discloses a perpendicularity detection method and system for a settlement observation rod, and relates to the technical field of settlement observation rods, and the method comprises the steps: positioning a target plate and the settlement observation rod based on a monitoring region, and collecting point cloud data of the monitoring region; target plate point clouds and settlement observation rod point clouds are determined based on screening of the point cloud data; determining the thickness of the target plate point cloud according to the detection of the target plate point cloud; the inclination of the target plate is determined based on the identification of the thickness of the target plate point cloud, so that the accuracy of the thickness of the target plate point cloud is ensured. Further, collecting a perpendicularity model of the target plate and the settlement observation rod; the perpendicularity of the settlement observation rod is determined based on the target plate, the perpendicularity model of the settlement observation rod and the gradient of the target plate, multi-dimensional control over the target plate, the perpendicularity model of the settlement observation rod and the gradient of the target plate is achieved, and the accuracy of the perpendicularity of the settlement observation rod is guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of settlement observation rods, and in particular to a method and system for detecting the verticality of a settlement observation rod. Background Art

[0002] With the rapid development of infrastructure construction, especially entering the continuous operation and maintenance stage, deformation monitoring has become a key link in ensuring project safety. Especially in the fields of large-scale civil engineering, urban construction and geological disaster prevention and control, settlement observation is an important means to ensure the long-term and stable operation of these facilities. As an important tool for monitoring soil settlement, the verticality of the settlement observation rod has an important influence on the accuracy of settlement data. Regarding the verticality of the settlement observation rod, in the existing technology, the settlement observation rod is manually detected and controlled along a single dimension, which cannot guarantee the accuracy of the verticality of the settlement observation rod. Summary of the invention

[0003] The purpose of the present invention is to overcome the shortcomings of the prior art. The present invention provides a method and system for detecting the verticality of a settlement observation rod. The target plate and the settlement observation rod are positioned based on the monitoring area, and point cloud data is collected for the monitoring area; the target plate point cloud and the settlement observation rod point cloud are determined based on the screening of the point cloud data; the thickness of the target plate point cloud is determined according to the detection of the target plate point cloud; the inclination of the target plate is determined based on the identification of the thickness of the target plate point cloud, the target plate point cloud and the settlement observation rod point cloud are introduced, and the target plate point cloud and the settlement observation rod point cloud are managed and controlled to ensure the accuracy of the thickness of the target plate point cloud.

[0004] Furthermore, the verticality models of the target plate and the settlement observation rod are collected; the verticality of the settlement observation rod is determined based on the verticality models of the target plate and the settlement observation rod and the inclination of the target plate, which is compatible with the overall consideration of the verticality models of the target plate and the settlement observation rod and the inclination of the target plate, and realizes multi-dimensional control of the verticality models of the target plate and the settlement observation rod and the inclination of the target plate, thereby ensuring the accuracy of the verticality of the settlement observation rod.

[0005] The embodiment of the present invention provides a method for detecting the verticality of a settlement observation rod, which is applied to the verticality detection scenario of a settlement observation rod; The verticality detection method of the settlement observation rod comprises: Position the target plate and the settlement observation rod based on the monitoring area, and collect point cloud data for the monitoring area; Determine the target plate point cloud and the settlement observation rod point cloud based on the screening of the point cloud data; Determining the thickness of the target plate point cloud according to the detection of the target plate point cloud; Determining the inclination of the target plate based on the identification of the thickness of the target plate point cloud; Collect the verticality model of the target plate and the settlement observation rod; The verticality of the settlement observation rod is determined based on the target plate, the verticality model of the settlement observation rod and the inclination of the target plate.

[0006] Optionally, positioning the target plate and the settlement observation rod based on the monitoring area, and collecting point cloud data for the monitoring area, includes: Locate monitoring area; Positioning target plates and settlement observation rods based on the monitoring area; Scan the monitoring area; Point cloud data is collected based on scanning of the monitoring area.

[0007] Optionally, the step of determining the target plate point cloud and the settlement observation rod point cloud based on the screening of the point cloud data includes: Freeze point cloud data; De-noising and filtering the point cloud data; Collecting multiple point cloud areas according to the screening of point cloud data; The target plate point cloud and the settlement observation rod point cloud are determined based on the recognition of multiple point cloud areas.

[0008] Optionally, the step of determining the thickness of the target plate point cloud according to the detection of the target plate point cloud comprises: Freeze the target plate point cloud; Associate the target plate point cloud and the corresponding detection model; Determine the distribution of the target plate point cloud based on the target plate point cloud and the corresponding detection model; The thickness of the target plate point cloud is determined according to the distribution of the target plate point cloud.

[0009] Optionally, the determining the inclination of the target plate based on the identification of the thickness of the target plate point cloud includes: The thickness of the point cloud of the freeze target plate; Compare the thickness of the target plate point cloud with a preset thickness threshold; Triggering the identification of the thickness of the target plate point cloud based on the comparison between the thickness of the target plate point cloud and a preset thickness threshold; Thickness and inclination recognition model of associated target point cloud; The inclination of the target plate is determined according to the thickness of the target plate point cloud and the recognition of the inclination recognition model.

[0010] Optionally, the verticality model of the acquisition target plate and the settlement observation rod includes: Freeze the settlement observation rod; The verticality model of the settlement observation rod is determined based on the matching of the settlement observation rod.

[0011] Optionally, the verticality model of the acquisition target plate and the settlement observation rod further includes: Collect target plates; A verticality model that associates the target plate with the settlement observation rod.

[0012] Optionally, the determining the verticality of the settlement observation rod based on the target plate, the verticality model of the settlement observation rod, and the inclination of the target plate includes: The inclination of the target board is fixed; Collect verticality models of target plates and settlement observation rods; Associate the target plate, verticality model of the settlement observation rod, and the inclination of the target plate.

[0013] Optionally, the determining the verticality of the settlement observation rod based on the target plate, the verticality model of the settlement observation rod, and the inclination of the target plate further includes: Determine the first parameter based on the verticality model of the target plate and the settlement observation rod; determining a second parameter based on the target plate and the inclination of the target plate; The verticality of the settlement observation rod is determined according to the first parameter, the second parameter and the settlement observation rod.

[0014] In addition, an embodiment of the present invention further provides a verticality detection system for a settlement observation rod, the verticality detection system for a settlement observation rod comprising: The first acquisition module is used to locate the target plate and the settlement observation rod based on the monitoring area, and to collect point cloud data for the monitoring area; A screening module, used to determine the target plate point cloud and the settlement observation rod point cloud based on the screening of the point cloud data; A thickness module, used to determine the thickness of the target plate point cloud according to the detection of the target plate point cloud; An inclination module, for determining the inclination of the target plate based on the identification of the thickness of the target plate point cloud; The second acquisition module is used to acquire the verticality model of the target plate and the settlement observation rod; The verticality module is used to determine the verticality of the settlement observation rod based on the target plate, the verticality model of the settlement observation rod, and the inclination of the target plate.

[0015] In an embodiment of the present invention, through the method in the embodiment of the present invention, the target plate and the settlement observation rod are positioned based on the monitoring area, and point cloud data of the monitoring area is collected; the target plate point cloud and the settlement observation rod point cloud are determined based on the screening of the point cloud data; the thickness of the target plate point cloud is determined according to the detection of the target plate point cloud; the inclination of the target plate is determined based on the identification of the thickness of the target plate point cloud, the target plate point cloud and the settlement observation rod point cloud are introduced, and the target plate point cloud and the settlement observation rod point cloud are managed and controlled to ensure the accuracy of the thickness of the target plate point cloud.

[0016] Furthermore, the verticality models of the target plate and the settlement observation rod are collected; the verticality of the settlement observation rod is determined based on the verticality models of the target plate and the settlement observation rod and the inclination of the target plate, which is compatible with the overall consideration of the verticality models of the target plate and the settlement observation rod and the inclination of the target plate, and realizes multi-dimensional control of the verticality models of the target plate and the settlement observation rod and the inclination of the target plate, thereby ensuring the accuracy of the verticality of the settlement observation rod. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0018] Figure 1 1 is a flow chart of a method for detecting the verticality of a settlement observation rod in an embodiment of the present invention; Figure 2 is a flow chart of S11 in the verticality detection method of the settlement observation rod in the embodiment of the present invention; Figure 3 is a schematic flow chart of S12 in the verticality detection method of the settlement observation rod in the embodiment of the present invention; Figure 4 is a schematic flow chart of S13 in the verticality detection method of the settlement observation rod in the embodiment of the present invention; Figure 5 is a schematic flow chart of S14 in the verticality detection method of the settlement observation rod in the embodiment of the present invention; Figure 6 is a schematic flow chart of S15 in the verticality detection method of the settlement observation rod in the embodiment of the present invention; Figure 7 is a flow chart of S16 in the verticality detection method of the settlement observation rod in the embodiment of the present invention; Figure 8 Schematic diagram of the structure of the verticality detection system of the settlement observation rod in the embodiment of the present invention; Fig. 9 The figure is a hardware diagram of an electronic device according to an exemplary embodiment. DETAILED DESCRIPTION

[0019] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0020] See also Figures 1 to 9 A verticality detection method for a settlement observation rod is applied to the verticality detection scenario of the settlement observation rod; the verticality detection method for the settlement observation rod includes: Step S11: positioning the target plate and the settlement observation rod based on the monitoring area, and collecting point cloud data for the monitoring area; Step S12: determining the target plate point cloud and the settlement observation rod point cloud based on the screening of the point cloud data; Step S13: determining the thickness of the target plate point cloud according to the detection of the target plate point cloud; Step S14: determining the inclination of the target plate based on the recognition of the thickness of the target plate point cloud; Step S15: collecting the verticality model of the target plate and the settlement observation rod; Step S16: Determine the verticality of the settlement observation rod based on the target plate, the verticality model of the settlement observation rod, and the inclination of the target plate.

[0021] In an embodiment of the present invention, through the method in the embodiment of the present invention, the target plate and the settlement observation rod are positioned based on the monitoring area, and point cloud data of the monitoring area is collected; the target plate point cloud and the settlement observation rod point cloud are determined based on the screening of the point cloud data; the thickness of the target plate point cloud is determined according to the detection of the target plate point cloud; the inclination of the target plate is determined based on the identification of the thickness of the target plate point cloud, the target plate point cloud and the settlement observation rod point cloud are introduced, and the target plate point cloud and the settlement observation rod point cloud are managed and controlled to ensure the accuracy of the thickness of the target plate point cloud.

[0022] Furthermore, the verticality models of the target plate and the settlement observation rod are collected; the verticality of the settlement observation rod is determined based on the verticality models of the target plate and the settlement observation rod and the inclination of the target plate, which is compatible with the overall consideration of the verticality models of the target plate and the settlement observation rod and the inclination of the target plate, and realizes multi-dimensional control of the verticality models of the target plate and the settlement observation rod and the inclination of the target plate, thereby ensuring the accuracy of the verticality of the settlement observation rod.

[0023] refer to Figure 2 , in step S11, the target plate and the settlement observation rod are positioned based on the monitoring area, and point cloud data is collected for the monitoring area; In the specific implementation process of the present invention, the specific steps may be: S111: Locate monitoring area; S112: Positioning target plates and settlement observation rods based on the monitoring area; S113: Scan the monitoring area; S114: Collecting point cloud data based on scanning of the monitoring area.

[0024] In an embodiment of the present application, a monitoring area is positioned, a monitoring area is introduced, and the monitoring area is further controlled, so that the target plate and the settlement observation rod are positioned based on the monitoring area, thereby achieving the positioning of the target plate and the settlement observation rod.

[0025] Specifically, through on-site investigation, consulting drawings and materials, etc., collect detailed information of the monitoring area, including topography, geological conditions, building structure, surrounding environment, etc. According to the monitoring purpose and on-site data, determine the specific scope of the monitoring area. The specific scope should cover all areas that may be affected by subsidence.

[0026] At this time, select several fixed points in the monitoring area as the locations of the target plates. These points should be away from possible interference sources, such as strong light sources, reflective surfaces, etc., to ensure the accuracy of the observation data. At the same time, the points should be easy to identify and measure. Install the target plates at the selected locations. The target plates should be firmly fixed to the ground or building and maintain good line of sight with the observation equipment. The design of the target plates should meet the requirements of the observation equipment so that they can be clearly identified and measured. According to the monitoring plan, determine the locations of the settlement observation rods on the buildings or other structures. These locations should be able to sensitively reflect the settlement changes of the structure and be easy to observe and measure. Install the settlement observation rods at the selected locations. The settlement observation rods should be firmly installed on the structure and maintain good contact with the structure. At the same time, the height and inclination angle of the observation rods should be adjusted according to the site conditions to ensure the accuracy of the observation data.

[0027] At the same time, the monitoring area is scanned to realize the scanning of the monitoring area, thereby collecting point cloud data based on the scanning of the monitoring area, introducing point cloud data, and realizing the control of point cloud data, so as to facilitate subsequent processing of point cloud data.

[0028] At this time, several scanning stations are arranged in the monitoring area. Each station should be able to cover a certain area and ensure that there is enough overlap between adjacent stations for subsequent point cloud stitching. At each scanning station, use the scanning equipment to scan the monitoring area. Ensure that the equipment is stable during the scanning process to avoid vibration and interference. At the same time, pay attention to record the scanning data and location information of each station.

[0029] After the scan is completed, the scan data is exported from the scanning device. These data usually exist in the form of point clouds, which contain the three-dimensional coordinate information of all objects in the monitoring area. The exported point cloud data is preprocessed, including denoising, filtering, and registration. Denoising is to remove the noise points generated during the scanning process; filtering is to smooth the point cloud data and improve the accuracy of the data; registration is to splice the point cloud data from different sites together to form a complete three-dimensional model. The preprocessed point cloud data is quality checked to ensure the integrity and accuracy of the data. The inspection content includes the density, resolution, accuracy, etc. of the point cloud. The point cloud data that has passed the quality inspection is stored in a suitable storage medium, and a corresponding data management system is established for subsequent data analysis and application.

[0030] refer to Figure 3 , in step S12, the target plate point cloud and the settlement observation rod point cloud are determined based on the screening of the point cloud data; In the specific implementation process of the present invention, the specific steps may be: S121: freeze point cloud data; S122: performing denoising processing on the point cloud data and screening the point cloud data; S123: collecting a plurality of point cloud areas according to the screening of the point cloud data; S124: Determine the target plate point cloud and the settlement observation rod point cloud based on the identification of multiple point cloud areas.

[0031] In an embodiment of the present application, the point cloud data is frozen, the point cloud data is controlled, and at the same time, the point cloud data is denoised and screened, so as to facilitate abnormal control of the point cloud data and eliminate abnormal point clouds, thereby ensuring the screening of the point cloud data.

[0032] At this time, start the scanning device and scan the target object. During the scanning process, the device will capture a large amount of 3D point data on the surface of the object, save the scanned point cloud data in a specific file format, such as PCD, PLY or OBJ, and save the point cloud data.

[0033] Furthermore, by analyzing the local neighborhood data of each point in the point cloud, noise removal is performed based on statistical characteristics. For example, the statistical outlier removal (SOR) method calculates the standard deviation of the distance in the neighborhood of each point. If the average distance of a point is much larger than the average distance of other points in the neighborhood, the point is regarded as a noise point and removed. The point cloud data is divided into small voxels (similar to a three-dimensional grid) and the points in each voxel are aggregated into a representative point, thereby reducing the noise in the data. This method can reduce excessive detail points and noise points while retaining the overall geometric structure. Each point in the point cloud is smoothed by a Gaussian function, so that local noise is weakened. Gaussian filtering performs weighted averaging on each point according to the Gaussian function. The closer the point in the neighborhood is to the center point, the greater the weight, thereby suppressing noise points far from the center.

[0034] Therefore, multiple point cloud areas are collected based on the screening of point cloud data; the target plate point cloud and the settlement observation rod point cloud are determined based on the identification of multiple point cloud areas, and the identification of multiple point cloud areas is introduced to ensure further management and control of multiple point cloud areas, and the target plate point cloud and the settlement observation rod point cloud are introduced to further control the target plate point cloud and the settlement observation rod point cloud.

[0035] At this time, the target plate usually has specific geometric shape and color features, such as a circle, square or cross, etc., and may have a specific color mark. Therefore, the target plate point cloud is identified by searching for point cloud areas with these features. The settlement observation pole usually has a slender and upright shape and may be located in a specific position of the building (such as a corner or near a column). Therefore, we can identify the settlement observation pole point cloud by searching for point cloud areas with these shape and position features.

[0036] refer to Figure 4 , in step S13, the thickness of the target plate point cloud is determined according to the detection of the target plate point cloud; In the specific implementation process of the present invention, the specific steps may be: S131: freeze target plate point cloud; S132: Associating the target plate point cloud and the corresponding detection model; S133: determining the distribution of the target plate point cloud based on the target plate point cloud and the corresponding detection model; S134: Determine the thickness of the target plate point cloud according to the distribution of the target plate point cloud.

[0037] In an embodiment of the present application, the target plate point cloud is frozen, and the target plate point cloud is further controlled. The target plate point cloud and the corresponding detection model are introduced, so as to associate the target plate point cloud and the corresponding detection model, thereby achieving further control of the target plate point cloud and the corresponding detection model.

[0038] At this point, load the pre-built inspection model, which may be a 3D CAD model, a digital twin model, or other forms of 3D representation. Use point cloud registration technology to align the scanned target plate point cloud data with the inspection model. The registration process may involve transformation operations such as rotation and translation to ensure spatial consistency between the point cloud data and the model. After the registration is completed, error analysis is performed to evaluate the accuracy of the registration.

[0039] Therefore, the distribution of the target plate point cloud is determined based on the target plate point cloud and the corresponding detection model, which is compatible with the overall consideration of the target plate point cloud and the corresponding detection model, realizes the multi-dimensional control of the target plate point cloud and the corresponding detection model, and ensures the accuracy of the distribution of the target plate point cloud. Therefore, the thickness of the target plate point cloud is determined according to the distribution of the target plate point cloud, which ensures the accuracy of the thickness of the target plate point cloud.

[0040] At this point, the target plate point cloud data is preprocessed, including removing noise, filtering out irrelevant points, etc., to ensure the accuracy of the data, and the preprocessed target plate point cloud data is matched with the detection model. This is usually achieved by comparing the feature points or feature surfaces in the point cloud to ensure that the point cloud data is consistent with the position and posture of the model in three-dimensional space. After the matching is completed, the distribution feature analysis of the target plate point cloud data is performed. This includes determining the distribution range, density, directionality and other features of the point cloud to reveal the specific distribution status of the target plate in three-dimensional space.

[0041] Further, feature points are extracted from the target plate point cloud data, which are usually located at specific positions on the edge or surface of the target plate. For each feature point, its coordinate value on the Z axis (or depth axis) is calculated, and the maximum depth value and the minimum depth value are determined. The thickness of the target plate can be calculated by the difference between these two depth values, and the thickness of the target plate is analyzed based on the calculated depth difference value. This can include determining statistics such as the mean value and standard deviation of the thickness to reveal the uniformity and consistency of the target plate thickness.

[0042] refer to Figure 5 , S14: determining the inclination of the target plate based on the identification of the thickness of the target plate point cloud; In the specific implementation process of the present invention, the specific steps may be: S141: The thickness of the target point cloud; S142: comparing the thickness of the target plate point cloud with a preset thickness threshold; S143: triggering identification of the thickness of the target plate point cloud based on comparison between the thickness of the target plate point cloud and a preset thickness threshold; S144: Thickness and inclination recognition model of associated target point cloud; S145: Determine the inclination of the target plate according to the thickness of the target plate point cloud and the recognition of the inclination recognition model.

[0043] In an embodiment of the present application, the target plate and the settlement observation rod are positioned based on the monitoring area, and point cloud data of the monitoring area is collected; the target plate point cloud and the settlement observation rod point cloud are determined based on the screening of the point cloud data; the thickness of the target plate point cloud is determined according to the detection of the target plate point cloud; the inclination of the target plate is determined based on the identification of the thickness of the target plate point cloud, the target plate point cloud and the settlement observation rod point cloud are introduced, and the target plate point cloud and the settlement observation rod point cloud are managed and controlled to ensure the accuracy of the thickness of the target plate point cloud.

[0044] At this time, the thickness of the target plate point cloud is frozen and introduced to further control the thickness of the target plate point cloud, so as to compare the thickness of the target plate point cloud with the preset thickness threshold to determine whether it is within the threshold range, and based on the comparison results, determine whether the thickness of the target plate meets the expected specifications or requirements.

[0045] Therefore, the target plate point cloud thickness is identified based on the comparison between the target plate point cloud thickness and the preset thickness threshold; the target plate point cloud thickness and inclination identification model are associated; the target plate inclination is determined based on the recognition of the target plate point cloud thickness and inclination identification model, thus realizing the recognition of the target plate point cloud thickness and inclination identification model and ensuring the accuracy of the target plate inclination. At the same time, the target plate point cloud and the settlement observation rod point cloud are introduced, and the target plate point cloud and the settlement observation rod point cloud are controlled to ensure the accuracy of the target plate point cloud thickness.

[0046] At this point, if the thickness of the target point cloud falls within the preset threshold range, its thickness is considered to be compliant, thereby triggering the formal identification of the target point cloud thickness. In addition, the thickness information of the target point cloud is associated with a tilt recognition model. The tilt recognition model is usually a model based on machine learning or deep learning training, which can extract features from point cloud data and predict the tilt of the target. In this step, we take the thickness of the target point cloud as one of the input features and input it into the model together with other related features (such as the geometry and distribution of the point cloud). The model makes predictions based on these features and outputs the tilt of the target.

[0047] refer to Figure 6 , S15: collect the verticality model of the target plate and the settlement observation rod; In the specific implementation process of the present invention, the specific steps may be: S151: Fixed settlement observation rod; S152: Determine a verticality model of the settlement observation rod based on the matching of the settlement observation rod; S153: collecting target plate; S154: Verticality model of the associated target plate and the settlement observation rod.

[0048] In an embodiment of the present application, the settlement observation rod is frozen and introduced to control the settlement observation rod. At the same time, the verticality model of the settlement observation rod is determined based on the matching of the settlement observation rod, thereby achieving the matching of the settlement observation rod and ensuring the accuracy of the verticality model of the settlement observation rod.

[0049] At this time, settlement data are collected by regularly observing the settlement observation rods. These data include the elevation change and settlement amount of the observation point. The collected settlement data are processed and analyzed to calculate the settlement amount, settlement rate and other indicators of each observation point. At the same time, according to the change trend of the settlement data, it is judged whether the settlement of the building is stable. Based on the matching of the settlement observation rods (that is, the relative position relationship between the observation points) and the change law of the settlement data, the verticality model of the settlement observation rod is established. This model can reflect the change of the verticality of the building during the settlement process.

[0050] Therefore, the target plate is collected; the verticality model of the target plate and the settlement observation rod is associated, and the verticality model of the target plate and the settlement observation rod is managed and controlled, thereby achieving overall control of the verticality model of the target plate and the settlement observation rod.

[0051] refer to Figure 7 , S16: determining the verticality of the settlement observation rod based on the target plate, the verticality model of the settlement observation rod, and the inclination of the target plate; In the specific implementation process of the present invention, the specific steps may be: S161: The inclination of the fixed target plate; S162: Collect the verticality model of the target plate and the settlement observation rod; S163: verticality model of associated target plate, settlement observation rod, and inclination of target plate; S164: Determine a first parameter based on a verticality model of the target plate and the settlement observation rod; S165: Determine a second parameter based on the target plate and the inclination of the target plate; S166: Determine the verticality of the settlement observation rod according to the first parameter, the second parameter and the settlement observation rod.

[0052] During the specific implementation of the present invention, the verticality models of the target plate and the settlement observation rod are collected; the verticality of the settlement observation rod is determined based on the verticality models of the target plate and the settlement observation rod and the inclination of the target plate, which is compatible with the overall consideration of the verticality models of the target plate and the settlement observation rod and the inclination of the target plate, and realizes multi-dimensional control of the verticality models of the target plate and the settlement observation rod and the inclination of the target plate, thereby ensuring the accuracy of the verticality of the settlement observation rod.

[0053] At this time, freeze the inclination of the target plate; collect the verticality models of the target plate and the settlement observation rod; associate the verticality models of the target plate and the settlement observation rod and the inclination of the target plate, and perform multiple interactions on the verticality models of the target plate and the settlement observation rod and the inclination of the target plate.

[0054] Therefore, the first parameter is determined based on the verticality model of the target plate and the settlement observation rod; the second parameter is determined based on the target plate and the inclination of the target plate; the verticality of the settlement observation rod is determined according to the first parameter, the second parameter and the settlement observation rod, and the first parameter, the second parameter and the settlement observation rod are compatible, and the first parameter, the second parameter and the settlement observation rod are controlled to ensure the accuracy of the verticality of the settlement observation rod. At the same time, it is compatible with the overall consideration of the verticality model of the target plate, the settlement observation rod, and the inclination of the target plate, realizing the multi-dimensional control of the verticality model of the target plate, the settlement observation rod, and the inclination of the target plate, ensuring the accuracy of the verticality of the settlement observation rod.

[0055] At this point, the previously established verticality model of the target plate and the settlement observation rod is used to determine the first parameter directly related to the settlement observation. The first parameter is usually used to quantify the spatial position, direction or shape characteristics of the settlement observation rod, which are crucial for the subsequent analysis and understanding of the settlement behavior of the building. Optionally, the verticality model of the target plate and the settlement observation rod is carefully analyzed to ensure the accuracy and completeness of the verticality model of the settlement observation rod. This includes checking the coordinate data, geometric shape and positional relationship information in the verticality model of the settlement observation rod, and extracting parameters directly related to the settlement observation from the verticality model of the settlement observation rod. These parameters may include the height of the settlement observation rod, the vertical deviation (offset relative to the ideal vertical line), the tilt angle (if the settlement observation rod is not completely vertical), etc. The selection of these parameters depends on the specific settlement observation needs and objectives.

[0056] Specifically, a verticality model of the target plate and the settlement observation rod was established. By analyzing the model, we extracted the height (H) and vertical deviation (ΔV) of the settlement observation rod as the first parameter. Specifically, the height H of the settlement observation rod is 30 meters, and the vertical deviation ΔV is 5 mm (the offset relative to the ideal vertical line).

[0057] At this point, the inclination of the target plate is used to determine the second parameter indirectly related to the settlement observation. These parameters are usually used to reflect the inclination state or deformation of the target plate (and the building structure that may be connected to it), which helps us understand the settlement behavior of the building more comprehensively; optionally, the inclination of the target plate is analyzed in detail to determine key information such as the direction, angle and rate of inclination. Based on the results of the inclination analysis, the parameters indirectly related to the settlement observation are defined, which may include the inclination angle (θ), the inclination direction (such as how many degrees east of north), the inclination rate (i.e., the rate of change of the inclination angle over time), etc. The selection of these parameters depends on the specific settlement observation needs and objectives, and the defined parameters are evaluated to determine whether they accurately reflect the inclination state or deformation of the target plate.

[0058] Specifically, by analyzing the inclination of the target plate, the inclination angle (θ) and the inclination rate were determined as the second parameter. Specifically, the inclination angle θ of the target plate is 0.3 degrees (north-east direction), and the inclination rate increases by 0.01 degrees per year. These parameters indicate that the building may have a certain degree of inclination deformation.

[0059] Furthermore, the verticality of the settlement observation rod is determined by comprehensively using the first parameter (the parameter directly related to the settlement observation rod), the second parameter (the parameter related to the inclination of the target plate) and the information of the settlement observation rod itself. Optionally, the first parameter and the second parameter are integrated to form a complete parameter set. These parameter sets include information such as the height, vertical deviation, inclination angle, inclination direction, and inclination rate of the settlement observation rod; based on the integrated parameter set and the information of the settlement observation rod itself (such as material, size, installation position, etc.), an appropriate mathematical model or algorithm is used to calculate the verticality of the settlement observation rod. This may require considering the influence of multiple factors, such as temperature, wind force, foundation settlement, etc. Finally, the calculated verticality of the settlement observation rod is verified and interpreted. This can be achieved by comparing with the field measured data and analyzing the trend of verticality over time. At the same time, it is also necessary to explain the significance and impact of verticality in combination with the specific conditions of the building and the goals of settlement observation.

[0060] Specifically, the height of the settlement observation rod (H = 30 meters), vertical deviation (ΔV = 5 mm), the inclination angle of the target plate (θ = 0.3 degrees) and the inclination rate were used to calculate the verticality of the settlement observation rod. Through appropriate mathematical models and algorithms, it was calculated that the verticality of the settlement observation rod had a slight deviation, but it was still within an acceptable range. Combined with the specific conditions of the building and the goal of settlement observation, this result shows that the building maintained a relatively stable state during the settlement process.

[0061] Optionally, a specific embodiment of the method for detecting the verticality of the settlement observation rod is as follows: S1. Installation and modification of settlement observation plates: In the monitoring area, first bury the settlement observation plate horizontally inside the soil to ensure that its stability and position meet the monitoring requirements. If the settlement observation plate has been buried, it can be modified directly. Above the buried settlement observation rod, a square or round stainless steel target plate is screwed in by threading. The settlement observation rod is partially inserted into the soil, partially extends out of the ground, and the exposed part is used to support the target plate. The target plate should theoretically be placed horizontally and connected vertically to the settlement observation rod. As the key identification point of the drone or laser scanner, the target plate collects and processes point cloud data, uses the point cloud thickness of the target plate, and calculates its horizontal angle change, and then calculates the verticality of the settlement observation rod, thereby judging the operating status of the settlement observation system.

[0062] S2. Point cloud data collection: Use point cloud collection equipment such as drones or laser scanners to perform high-precision scanning of the modified settlement observation rod area, focusing on collecting point cloud data near the target plate to ensure that the key parts of the settlement observation rod are fully covered and the accuracy meets the monitoring requirements.

[0063] S3. Point cloud denoising and classification: The collected point cloud data is denoised to remove the interfering point clouds in the environment. Then, the point cloud is classified using classification algorithms such as K-Means to accurately separate the point cloud of the target plate and the point cloud of the settlement observation rod to ensure the accuracy of subsequent calculations.

[0064] S4. Calculation of target plate point cloud thickness: According to the classification results, extract the target plate point cloud data, and calculate the target plate thickness through the distribution of the point cloud, so as to provide basic data for the subsequent target plate inclination calculation. The target plate is a thin plate. Ideally, its point cloud thickness is close to zero, indicating that the target plate is placed horizontally. If the point cloud thickness is large, it means that the target plate is tilted.

[0065] S5. Calculation of the target plate inclination: The inclined surface of the target plate forms a triangle with the horizontal and vertical surfaces. In this triangle, using the point cloud thickness, there is a trigonometric function: (1) in L is the known side length of the target plate, h is the target plate point cloud thickness obtained in S4, α is the inclination angle of the target plate.

[0066] Use the inverse sine function to calculate the tilt angle of the target plate: (2) S6. Calculation of verticality of settlement observation rod: Combined with the inclination of the target plate obtained in S5, the verticality of the settlement observation rod is calculated using mathematical principles such as the vertical relationship between the target plate and the settlement observation rod.β : (3) Ideally, the settlement observation rod should be inserted vertically into the soil, and its verticality should be close to 90°. β If it is less than a certain set threshold (for example, 80°), it means that the deflection of the settlement observation rod is more serious.

[0067] The beneficial effects of the present invention are:

[0068] 1. Improved accuracy: By modifying the traditional settlement observation device, adding a target plate and using point cloud data for detection, the monitoring accuracy of the verticality of the settlement observation rod can be significantly improved. The combination of the point cloud thickness analysis of the target plate and the calculation of the verticality of the settlement observation rod can achieve a more precise assessment of the inclination of the settlement observation rod.

[0069] 2. High degree of automation: The present invention uses equipment such as drones or laser scanners to collect point cloud data, and combines data processing algorithms to achieve automated analysis, avoiding the limitations of traditional manual measurement methods. By introducing classification algorithms such as K-Means, the point cloud data of the target plate and the support rod can be automatically distinguished, improving the efficiency and accuracy of data processing.

[0070] 3. Strong real-time monitoring capability: The present invention uses drones and other technical means to perform large-scale, rapid point cloud scanning, and can obtain the inclination of the settlement observation rod in real time or regularly to ensure the timeliness of engineering monitoring. Compared with traditional manual measurement, the present invention can more efficiently discover potential settlement deviation problems and take corrective measures in a timely manner.

[0071] 4. Adaptability to complex geological environments: Traditional settlement monitoring methods are difficult to maintain stable accuracy under complex geological conditions, but the present invention uses the high spatial resolution of point cloud data and the flexibility of drones to obtain accurate observation results in complex terrains. This makes the technology more adaptable and has better application prospects in special geological environments such as soft soil and fill areas.

[0072] 5. Reduce human errors: The present invention reduces the errors caused by human operation through automated data processing. Traditional manual height measurement is easily affected by the external environment and the operator's experience, while the present invention significantly reduces the impact of human factors on the results through precise geometric calculations and trigonometric function calculations.

[0073] In actual monitoring, if verticality is found β If the deviation is too large, manual adjustment or repair measures must be taken to ensure the stability of the observation rod and the reliability of the data.

[0074] In an embodiment of the present invention, through the method in the embodiment of the present invention, the target plate and the settlement observation rod are positioned based on the monitoring area, and point cloud data of the monitoring area is collected; the target plate point cloud and the settlement observation rod point cloud are determined based on the screening of the point cloud data; the thickness of the target plate point cloud is determined according to the detection of the target plate point cloud; the inclination of the target plate is determined based on the identification of the thickness of the target plate point cloud, the target plate point cloud and the settlement observation rod point cloud are introduced, and the target plate point cloud and the settlement observation rod point cloud are managed and controlled to ensure the accuracy of the thickness of the target plate point cloud.

[0075] Furthermore, the verticality models of the target plate and the settlement observation rod are collected; the verticality of the settlement observation rod is determined based on the verticality models of the target plate and the settlement observation rod and the inclination of the target plate, which is compatible with the overall consideration of the verticality models of the target plate and the settlement observation rod and the inclination of the target plate, and realizes multi-dimensional control of the verticality models of the target plate and the settlement observation rod and the inclination of the target plate, thereby ensuring the accuracy of the verticality of the settlement observation rod.

[0076] See also Figure 8 , Figure 8 It is a schematic diagram of the structural composition of the verticality detection system of the settlement observation rod in an embodiment of the present invention.

[0077] like Figure 8 As shown, a verticality detection system for a settlement observation rod, the verticality detection system for the settlement observation rod comprises: The first acquisition module 21 is used to locate the target plate and the settlement observation rod based on the monitoring area, and to collect point cloud data for the monitoring area; A screening module 22, used to determine the target plate point cloud and the settlement observation rod point cloud based on the screening of the point cloud data; A thickness module 23, used to determine the thickness of the target plate point cloud according to the detection of the target plate point cloud; An inclination module 24, for determining the inclination of the target plate based on the identification of the thickness of the target plate point cloud; The second acquisition module 25 is used to acquire the verticality model of the target plate and the settlement observation rod; The verticality module 26 is used to determine the verticality of the settlement observation rod based on the target plate, the verticality model of the settlement observation rod, and the inclination of the target plate.

[0078] See also Fig. 9 , refer to the following Fig. 9 The electronic device 40 according to this embodiment of the present invention will be described. Fig. 9 The electronic device 40 shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0079] like Fig. 9As shown, the electronic device 40 is in the form of a general computing device. The components of the electronic device 40 may include but are not limited to: at least one processing unit 41, at least one storage unit 42, and a bus 43 connecting different system components (including the storage unit 42 and the processing unit 41).

[0080] The storage unit stores program codes, which can be executed by the processing unit 41, so that the processing unit 41 executes the steps according to various exemplary embodiments of the present invention described in the above “Embodiment Method” section of this specification.

[0081] The storage unit 42 may include a readable medium in the form of a volatile storage unit, such as a random access memory unit (RAM) 421 and / or a cache memory unit 422 , and may further include a read-only memory unit (ROM) 423 .

[0082] The storage unit 42 may also include a program / utility 424 having a set (at least one) of program modules 425, such program modules 425 including but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment.

[0083] Bus 43 may represent one or more of several types of bus structures, including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.

[0084] The electronic device 40 may also communicate with one or more external devices (e.g., keyboards, pointing devices, Bluetooth devices, etc.), one or more devices that enable a user to interact with the electronic device 40, and / or any device that enables the electronic device 40 to communicate with one or more other computing devices (e.g., routers, modems, etc.). Such communication may be performed via an input / output (I / O) interface 44. Furthermore, the electronic device 40 may also communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) via a network adapter 45. Fig. 9 As shown, the network adapter 45 communicates with other modules of the electronic device 40 via the bus 43. It should be understood that although Fig. 9 Not shown, other hardware and / or software modules may be used in conjunction with the electronic device 40, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup planning systems.

[0085] Through the description of the above implementation, it is easy for those skilled in the art to understand that the example implementation described here can be implemented by software, or by software combined with necessary hardware. Therefore, the technical solution according to the implementation of the present disclosure can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, and includes a number of instructions to enable a computing device (which can be a personal computer, a server, a terminal device, or a network device, etc.) to execute the method according to the implementation of the present disclosure.

[0086] Those skilled in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium, and the storage medium can include: a read-only memory (ROM), a random access memory (RAM), a disk or an optical disk, etc. In addition, it stores computer program instructions, and when the computer program instructions are executed by a computer, the computer executes the above method.

[0087] In addition, the verticality detection method and system of the settlement observation rod provided in the embodiment of the present invention are introduced in detail above. Specific examples are used in this article to illustrate the principle and implementation mode of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea; at the same time, for general technical personnel in this field, according to the idea of ​​the present invention, there will be changes in the specific implementation mode and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A method for detecting the verticality of a settlement observation rod, characterized in that: Applicable to the verticality detection scenario of settlement observation rod; The verticality detection method of the settlement observation rod comprises: Position the target plate and the settlement observation rod based on the monitoring area, and collect point cloud data for the monitoring area; Determine the target plate point cloud and the settlement observation rod point cloud based on the screening of the point cloud data; Determining the thickness of the target plate point cloud according to the detection of the target plate point cloud; Determining the inclination of the target plate based on the identification of the thickness of the target plate point cloud; Collect the verticality model of the target plate and the settlement observation rod; The verticality of the settlement observation rod is determined based on the target plate, the verticality model of the settlement observation rod and the inclination of the target plate.

2. The verticality detection method of the settlement observation rod according to claim 1 is characterized in that: The method of positioning the target plate and the settlement observation rod based on the monitoring area and collecting point cloud data of the monitoring area includes: Locate monitoring area; Positioning target plates and settlement observation rods based on the monitoring area; Scan the monitoring area; Point cloud data is collected based on scanning of the monitoring area.

3. The verticality detection method of the settlement observation rod according to claim 1 is characterized in that: The method of determining the target plate point cloud and the settlement observation rod point cloud based on the screening of the point cloud data includes: Freeze point cloud data; De-noising and filtering the point cloud data; Collecting multiple point cloud areas according to the screening of point cloud data; The target plate point cloud and the settlement observation rod point cloud are determined based on the recognition of multiple point cloud areas.

4. The verticality detection method of the settlement observation rod according to claim 3 is characterized in that: The step of determining the thickness of the target plate point cloud according to the detection of the target plate point cloud comprises: Freeze the target plate point cloud; Associate the target plate point cloud and the corresponding detection model; Determine the distribution of the target plate point cloud based on the target plate point cloud and the corresponding detection model; The thickness of the target plate point cloud is determined according to the distribution of the target plate point cloud.

5. The verticality detection method of the settlement observation rod according to claim 4 is characterized in that: The step of determining the inclination of the target plate based on the recognition of the thickness of the target plate point cloud comprises: The thickness of the point cloud of the freeze target plate; Compare the thickness of the target plate point cloud with a preset thickness threshold; Triggering the identification of the thickness of the target plate point cloud based on the comparison between the thickness of the target plate point cloud and a preset thickness threshold; Thickness and inclination recognition model of associated target point cloud; The inclination of the target plate is determined according to the thickness of the target plate point cloud and the recognition of the inclination recognition model.

6. The verticality detection method of the settlement observation rod according to claim 5 is characterized in that: The verticality model of the acquisition target plate and the settlement observation rod includes: Freeze the settlement observation rod; The verticality model of the settlement observation rod is determined based on the matching of the settlement observation rod.

7. The verticality detection method of the settlement observation rod according to claim 6 is characterized in that: The verticality model of the acquisition target plate and the settlement observation rod also includes: Collect target plates; A verticality model that associates the target plate with the settlement observation rod.

8. The verticality detection method of the settlement observation rod according to claim 7 is characterized in that: The method of determining the verticality of the settlement observation rod based on the target plate, the verticality model of the settlement observation rod, and the inclination of the target plate includes: The inclination of the target board is fixed; Collect verticality models of target plates and settlement observation rods; Associate the target plate, verticality model of the settlement observation rod, and the inclination of the target plate.

9. The verticality detection method of the settlement observation rod according to claim 8 is characterized in that: The method of determining the verticality of the settlement observation rod based on the target plate, the verticality model of the settlement observation rod, and the inclination of the target plate also includes: Determine the first parameter based on the verticality model of the target plate and the settlement observation rod; determining a second parameter based on the target plate and the inclination of the target plate; The verticality of the settlement observation rod is determined according to the first parameter, the second parameter and the settlement observation rod.

10. A verticality detection system for a settlement observation rod, characterized in that: The verticality detection system of the settlement observation rod is applied to the verticality detection method of the settlement observation rod as claimed in any one of claims 1 to 9, and the verticality detection system of the settlement observation rod comprises: The first acquisition module is used to locate the target plate and the settlement observation rod based on the monitoring area, and to collect point cloud data for the monitoring area; A screening module, used to determine the target plate point cloud and the settlement observation rod point cloud based on the screening of the point cloud data; A thickness module, used to determine the thickness of the target plate point cloud according to the detection of the target plate point cloud; An inclination module, for determining the inclination of the target plate based on the identification of the thickness of the target plate point cloud; The second acquisition module is used to acquire the verticality model of the target plate and the settlement observation rod; The verticality module is used to determine the verticality of the settlement observation rod based on the target plate, the verticality model of the settlement observation rod, and the inclination of the target plate.

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