A method and system for analyzing the settlement of a reconstructed roadbed
By dividing and clustering the roadbed sections for reconstruction and expansion, dynamically setting thresholds, and adopting a settlement correction strategy, the problems of unevenness and noise interference in roadbed settlement analysis in existing technologies have been solved, achieving more accurate settlement assessment and risk identification.
Patent Information
- Application Number
- CN202511431300.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-10-09
- Publication Date
- 2026-01-06
- Estimated Expiration
- 2045-10-09
AI Technical Summary
Existing technologies fail to adequately consider the unevenness and noise interference along the roadbed in the settlement analysis of roadbed reconstruction and expansion, leading to misjudgment or waste of resources and making it difficult to accurately assess the roadbed condition.
By dividing the roadbed into sections for reconstruction and expansion, performing clustering and sorting of settlement data sequences, dynamically setting thresholds, employing settlement correction strategies to filter out noise, and identifying the risk of geological abrupt changes, a settlement analysis system for roadbed reconstruction and expansion is provided.
It improves the authenticity and reliability of analysis results, reduces the risk of misjudgment, efficiently outputs settlement data, and adapts to changes in geological conditions.
Smart Images

Figure CN120907505B_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the field of roadbed settlement prediction technology, and in particular relates to a method and system for analyzing the settlement of reconstructed and expanded roadbeds. Background Technology
[0002] With the continuous improvement and upgrading of my country's transportation infrastructure network, road reconstruction and expansion projects have become an important means to enhance the capacity and service level of the road network. In reconstruction and expansion projects, the settlement control of the subgrade at the junction of the old and new subgrades and in the widened sections is a key technical challenge directly related to the success or failure of the project. Improper settlement control can easily lead to a series of problems such as longitudinal cracks, subgrade instability, and decreased pavement smoothness, seriously affecting driving safety and the service life of the road.
[0003] Currently, the analysis of settlement in reconstructed and expanded roadbeds mainly relies on traditional monitoring methods and data analysis techniques. Typically, settlement monitoring points (such as settlement plates and observation piles) are set up along the roadbed, and elevation data of each monitoring point is collected periodically using precise leveling or Global Navigation Satellite System (GNSS) technology to calculate the settlement amount and rate. However, existing analysis methods have several significant limitations: First, most methods treat the entire reconstructed and expanded road section as a homogeneous whole for analysis, or only evaluate individual monitoring points independently, failing to fully consider the significant spatial heterogeneity along the roadbed caused by differences in geological conditions, filling materials, compaction degree, and load history. This heterogeneity is particularly prominent at the junction of the new and existing roadbeds, in areas of abrupt topographic changes, and in soft soil foundation sections, making it difficult for the overall averaged analysis results to accurately reflect local risks.
[0004] Secondly, at the data analysis level, the raw settlement data collected by existing methods inevitably contains noise generated by measurement errors, environmental interference (such as temperature and rainfall), and localized accidental disturbances (such as vibrations from construction machinery and minor damage to monitoring points). Especially in sections with complex geological conditions, this noise is intertwined with the actual settlement signals, making it difficult for traditional methods to effectively distinguish them. Often, the raw data is used directly for assessment, leading to misjudgments of the roadbed condition. This can either mask the true risks or create false alarms, resulting in unnecessary interventions and wasted resources. Summary of the Invention
[0005] This invention provides a method and system for analyzing the settlement of reconstructed and expanded roadbeds, which solves the technical problem of misjudging the condition of the roadbed due to the direct use of raw data for evaluation.
[0006] In a first aspect, the present invention provides a method for analyzing the settlement of reconstructed and expanded roadbeds, comprising:
[0007] Obtain roadbed height data at each monitoring point in the roadbed reconstruction and expansion section at the initial time. Based on the height data of each path, divide the roadbed reconstruction and expansion section using a preset roadbed interception strategy to obtain at least one reconstruction and expansion sub-roadbed section.
[0008] The at least one reconstructed sub-roadbed segment is clustered according to the roadbed segment length of each reconstructed and expanded sub-roadbed segment to obtain at least one set of reconstructed and expanded sub-roadbed segments. Based on the preset roadbed segment selection rules, a first target reconstructed and expanded sub-roadbed segment and a second target reconstructed and expanded sub-roadbed segment are selected from a certain set of reconstructed and expanded sub-roadbed segments.
[0009] Acquire the first settlement data of each monitoring point in the first target reconstruction and expansion sub-roadbed section at the current time, sort the first settlement data to obtain the first settlement data sequence, and acquire the second settlement data of each monitoring point in the second target reconstruction and expansion sub-roadbed section at the current time, sort the second settlement data to obtain the second settlement data sequence.
[0010] Determine the amount of settlement change between the first settlement data sequence and the second settlement data sequence, and determine whether the amount of settlement change is greater than a dynamically preset threshold, wherein the dynamically preset threshold is dynamically set according to the sequence length of the settlement data sequence;
[0011] If the value is greater than the dynamic preset threshold, then other settlement data of each monitoring point in other target reconstruction and expansion sub-roadbed sections are obtained at the current time, and the other settlement data are sorted to obtain other settlement data sequences. The other target reconstruction and expansion sub-roadbed sections are the target reconstruction and expansion sub-roadbed sections in the set of reconstruction and expansion sub-roadbed sections excluding the first target reconstruction and expansion sub-roadbed section and the second target reconstruction and expansion sub-roadbed section.
[0012] Based on the first settlement data sequence and the second settlement data sequence, a preset settlement correction strategy is used to correct the other settlement data sequences to obtain the final corrected settlement data of each monitoring point in the other target reconstruction and expansion sub-roadbed sections.
[0013] Secondly, the present invention provides a system for analyzing the settlement of reconstructed and expanded roadbeds, comprising:
[0014] The segmentation module is configured to acquire roadbed height data of each monitoring point in the roadbed reconstruction and expansion section at the initial time, and to segment the roadbed reconstruction and expansion section according to the height data of each path using a preset roadbed interception strategy to obtain at least one reconstruction and expansion sub-roadbed section.
[0015] The clustering module is configured to cluster the at least one reconstructed sub-roadbed segment according to the roadbed segment length of each reconstructed and expanded sub-roadbed segment to obtain at least one set of reconstructed and expanded sub-roadbed segments, and select a first target reconstructed and expanded sub-roadbed segment and a second target reconstructed and expanded sub-roadbed segment from a set of reconstructed and expanded sub-roadbed segments based on a preset roadbed segment selection rule.
[0016] The first sorting module is configured to obtain the first settlement data of each monitoring point in the first target reconstruction and expansion sub-roadbed section at the current time, sort the first settlement data to obtain a first settlement data sequence, and obtain the second settlement data of each monitoring point in the second target reconstruction and expansion sub-roadbed section at the current time, sort the second settlement data to obtain a second settlement data sequence.
[0017] The judgment module is configured to determine the amount of settlement change between the first settlement data sequence and the second settlement data sequence, and to determine whether the amount of settlement change is greater than a dynamically preset threshold, wherein the dynamically preset threshold is dynamically set according to the sequence length of the settlement data sequence;
[0018] The second sorting module is configured to, if the value is greater than the dynamic preset threshold, acquire other settlement data of each monitoring point in other target reconstruction and expansion sub-roadbed sections at the current time, sort the other settlement data to obtain other settlement data sequences, wherein the other target reconstruction and expansion sub-roadbed sections are the target reconstruction and expansion sub-roadbed sections in the set of reconstruction and expansion sub-roadbed sections excluding the first target reconstruction and expansion sub-roadbed section and the second target reconstruction and expansion sub-roadbed section;
[0019] The correction module is configured to correct the other settlement data sequences based on the first settlement data sequence and the second settlement data sequence using a preset settlement correction strategy, so as to obtain the final other corrected settlement data of each monitoring point in the other target reconstruction and expansion sub-roadbed section.
[0020] Thirdly, an electronic device is provided, comprising: at least one processor, and a memory communicatively connected to the at least one processor, wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the steps of the roadbed settlement analysis method of any embodiment of the present invention.
[0021] Fourthly, the present invention also provides a computer-readable storage medium having a computer program stored thereon, wherein when the program instructions are executed by a processor, the processor performs the steps of the method for analyzing the settlement of renovated and expanded roadbeds according to any embodiment of the present invention.
[0022] The proposed method and system for analyzing roadbed settlement in this application indicates good roadbed uniformity when the settlement change is small. The method uses a simplified method to calculate the average change, efficiently outputting results while ensuring accuracy as much as possible. When the settlement change exceeds the dynamic threshold, it can keenly identify potential risks such as geological abrupt changes and automatically trigger a settlement correction strategy based on two farthest benchmark sub-segments. This strategy effectively filters out noise introduced by local construction disturbances, environmental interference, and measurement errors through spatial mapping and the construction of settlement gradients, and extracts the true settlement signal reflecting the overall geological trend. This greatly reduces the risk of misjudgment due to local anomalies, making the analysis results more realistic and reliable. Attached Figure Description
[0023] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0024] Figure 1 A flowchart of a method for analyzing the settlement of reconstructed and expanded roadbeds provided in an embodiment of the present invention;
[0025] Figure 2 This is a structural block diagram of a roadbed settlement analysis system provided in an embodiment of the present invention;
[0026] Figure 3 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. Detailed Implementation
[0027] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0028] Please see Figure 1 The flowchart illustrates a method for analyzing the settlement of roadbed reconstruction and expansion according to this application.
[0029] like Figure 1 As shown, the specific steps of the subgrade settlement analysis method for road reconstruction and expansion include:
[0030] Step S101: Obtain the roadbed height data of each monitoring point in the roadbed reconstruction and expansion section at the initial time. Based on the height data of each path, divide the roadbed reconstruction and expansion section using a preset roadbed interception strategy to obtain at least one reconstruction and expansion sub-roadbed section.
[0031] In this step, a leveling benchmark is established in a stable area near the road section to be reconstructed or expanded (such as existing bedrock unaffected by construction, stable old shoulders, deep-buried points, etc.). The elevations of these benchmarks are known and serve as the basis for the entire surveying work.
[0032] On the reconstructed and expanded roadbed sections that require monitoring, a series of monitoring points (or settlement plates, observation piles) are set up according to the design drawings and specifications. The arrangement of these points should be able to comprehensively reflect the settlement of the roadbed, and they are usually distributed in key locations such as the center of the roadbed, the shoulder, and the toe of the slope.
[0033] Using a precision electronic level, surveyors start from the leveling benchmark and measure the elevation of each monitoring point sequentially along a predetermined route. Alternatively, a GNSS base station receiver is set up on a stable leveling benchmark (BM) with known coordinates (including elevation). The surveyor holds or places a centering rod at each monitoring point and uses a GNSS mobile station (RTK receiver) to receive satellite signals. Through a radio data link, the mobile station receives differential correction data from the base station and performs real-time dynamic differential (RTK) calculations to obtain the roadbed height data of each monitoring point in the roadbed reconstruction and expansion section.
[0034] It should be noted that, based on the elevation data of each path, the roadbed segment to be reconstructed and expanded is divided using a preset roadbed interception strategy to obtain at least one reconstructed and expanded sub-roadbed segment. The specific steps are as follows:
[0035] Step S1011: Based on the location information of each monitoring point, sort the roadbed height data to obtain the roadbed height data sequence.
[0036] The process involves acquiring the location information of each monitoring point on the electronic map, sorting the monitoring points with the length direction of the reconstructed and expanded roadbed section as the positive direction, and obtaining a monitoring point sequence. Then, the roadbed height data collected from each monitoring point in the monitoring point sequence are sorted to obtain a roadbed height data sequence.
[0037] Step S1012: Determine whether the height difference between the first roadbed height data and the second roadbed height data in the roadbed height data sequence is greater than a preset height threshold, wherein the first roadbed height data and the second roadbed height data are two adjacent roadbed height data.
[0038] Step S1013: If the height is greater than the preset height threshold, the first roadbed height data and the second roadbed height data are divided into different roadbed height data subsequences; otherwise, the first roadbed height data and the second roadbed height data are divided into the same roadbed height data subsequence, resulting in at least one roadbed height data subsequence.
[0039] In one specific embodiment, the roadbed height data sequence is (H1, H2, H3, ..., Hn), where H1 to Hn correspond to the elevations of various monitoring points from the start to the end of the road segment. A preset height threshold ΔHmax is set, which needs to be determined by the engineer based on factors such as engineering geological conditions, fill material properties, and design standards (e.g., it may be 10mm, 20mm, etc.).
[0040] Assuming that the height difference between roadbed height data H2 and H3 is greater than a preset height threshold, the height difference between roadbed height data H5 and H6 is greater than a preset height threshold, and the height difference between roadbed height data Hn-2 and Hn-1 is greater than a preset height threshold, then the resulting roadbed height data subsequences are (H1, H2), (H3, H4, H5), (H6, ..., Hn-2), and (Hn-1, Hn).
[0041] Step S1014: Divide the roadbed section for reconstruction and expansion based on at least one subsequence of roadbed height data to obtain at least one sub-roadbed section for reconstruction and expansion, wherein each monitoring point in a sub-roadbed section for reconstruction and expansion is a monitoring point corresponding to a subsequence of roadbed height data.
[0042] In this step, the starting and ending points of the sub-roadbed sections to be reconstructed and expanded are the locations of the monitoring points. For example, if the sub-sequences of roadbed height data are (H1, H2), (H3, H4, H5), (H6, ..., Hn-2), (Hn-1, Hn), then the corresponding sub-sequences of roadbed height data are (A1, A2), (A3, A4, A5), (A6, ..., An-2), (An-1, An).
[0043] Step S102: Cluster the at least one reconstructed sub-roadbed segment according to the roadbed segment length of each reconstructed and expanded sub-roadbed segment to obtain at least one set of reconstructed and expanded sub-roadbed segments, and select a first target reconstructed and expanded sub-roadbed segment and a second target reconstructed and expanded sub-roadbed segment from a certain set of reconstructed and expanded sub-roadbed segments based on preset roadbed segment selection rules.
[0044] In this step, the path segment length is the number of monitoring points. Based on the path segment length of each reconstructed and expanded sub-roadbed segment, the at least one reconstructed and expanded sub-roadbed segment is clustered to obtain at least one set of reconstructed and expanded sub-roadbed segments. The specific steps are as follows:
[0045] Step S1021: Cluster the various reconstructed and expanded sub-road sections that contain the same number of monitoring points to obtain at least one initial set of reconstructed and expanded sub-road sections.
[0046] Step S1022: Based on the location information of the initial reconstruction and expansion sub-roadbed segments, sort each initial reconstruction and expansion sub-roadbed segment in a certain initial reconstruction and expansion sub-roadbed segment set to obtain a certain initial reconstruction and expansion sub-roadbed segment sequence, and select a certain target initial reconstruction and expansion sub-roadbed segment located at the center point in the certain initial reconstruction and expansion sub-roadbed segment sequence.
[0047] Specifically, the location information of the initial reconstruction and expansion sub-roadbed section is the location information of the monitoring point closest to the center point in the initial reconstruction and expansion sub-roadbed section.
[0048] For example, if a certain initial reconstruction and expansion sub-roadbed segment sequence is a sub-sequence of roadbed height data, then it corresponds to the first initial reconstruction and expansion sub-roadbed segment (A1, A2), the second initial reconstruction and expansion sub-roadbed segment (A3, A4, A5), the third initial reconstruction and expansion sub-roadbed segment (A6, A7, A8, A9), the fourth initial reconstruction and expansion sub-roadbed segment (A10, A11), and the fifth initial reconstruction and expansion sub-roadbed segment (A10, A11). Then, a target initial reconstruction and expansion sub-roadbed segment located at the center point is the third initial reconstruction and expansion sub-roadbed segment. When the number of initial reconstruction and expansion sub-roadbed segments in a certain initial reconstruction and expansion sub-roadbed segment sequence is even, either of the two initial reconstruction and expansion sub-roadbed segments located at the center point can be selected.
[0049] Step S1023: Taking the first target initial reconstruction and expansion sub-roadbed segment as a reference sub-roadbed segment, determine whether the distance between the first target initial reconstruction and expansion sub-roadbed segment and the reference sub-roadbed segment is greater than a preset distance threshold. The first target initial reconstruction and expansion sub-roadbed segment is any target initial reconstruction and expansion sub-roadbed segment in the sequence of target initial reconstruction and expansion sub-roadbed segments after removing the target initial reconstruction and expansion sub-roadbed segment.
[0050] For example, if a certain baseline sub-roadbed segment is the third initial reconstruction and expansion sub-roadbed segment (A6, A7, A8, A9), and the first target initial reconstruction and expansion sub-roadbed segment is the fourth initial reconstruction and expansion sub-roadbed segment (A10, A11), then, taking monitoring point A7 or monitoring point A8 as the center point (because different center points may cause changes in the judgment results, but the impact of this change is small and can be ignored, or the midpoint between monitoring point A7 and monitoring point A8 can be taken as the center point of the third initial reconstruction and expansion sub-roadbed segment), when monitoring point A7 is taken as the center point, the first distance between monitoring point A7 and monitoring point A10, and the second distance between monitoring point A7 and monitoring point A11 are calculated respectively.
[0051] When both the first distance and the second distance are not greater than the preset distance threshold, it is defined as the distance of a certain roadbed segment not being greater than the preset distance threshold; otherwise, it is defined as the distance of a certain roadbed segment being greater than the preset distance threshold.
[0052] Step S1024: If the distance of a certain roadbed segment is not greater than the preset distance threshold, then the first target initial reconstruction and expansion sub-roadbed segment is divided into a set of reconstruction and expansion sub-roadbed segments with the target initial reconstruction and expansion sub-roadbed segment as the base sub-roadbed segment.
[0053] Step S1025: If the distance of a certain roadbed segment is greater than the preset distance threshold, then the first target initial reconstruction and expansion sub-roadbed segment is taken as the first reference sub-roadbed segment, and it is determined whether the roadbed segment distance between the second target initial reconstruction and expansion sub-roadbed segment and the first reference sub-roadbed segment is greater than the preset distance threshold. The second target initial reconstruction and expansion sub-roadbed segment is any target initial reconstruction and expansion sub-roadbed segment after removing the first target initial reconstruction and expansion sub-roadbed segment and each target initial reconstruction and expansion sub-roadbed segment in the set of reconstruction and expansion sub-roadbed segments from the sequence of target initial reconstruction and expansion sub-roadbed segments.
[0054] Furthermore, the selection of the first target reconstruction / expansion sub-sub ...
[0055] Obtain the location information of each reconstructed and expanded sub-roadbed segment in a certain set of reconstructed and expanded sub-roadbed segments, and determine the first target reconstructed and expanded sub-roadbed segment and the second target reconstructed and expanded sub-roadbed segment with the largest distance based on the location information.
[0056] Step S103: Obtain the first settlement data of each monitoring point in the first target reconstruction and expansion sub-roadbed section at the current time, sort the first settlement data to obtain the first settlement data sequence, and obtain the second settlement data of each monitoring point in the second target reconstruction and expansion sub-roadbed section at the current time, sort the second settlement data to obtain the second settlement data sequence.
[0057] In this step, the current subgrade height data of each monitoring point in the first target reconstruction and expansion sub-subgrade section is obtained at the current time. The first settlement data is obtained by subtracting the current subgrade height data of the same monitoring point from the subgrade height data collected at the initial time. Based on the location information of each monitoring point in the first target reconstruction and expansion sub-subgrade section on the electronic map, the first settlement data are sorted to obtain the first settlement data sequence. Similarly, the second settlement data sequence can be obtained. Since the number of monitoring points in the first target reconstruction and expansion sub-subgrade section is the same as the number of monitoring points in the second target reconstruction and expansion sub-subgrade section, the sequence lengths of the first settlement data sequence and the second settlement data sequence are the same.
[0058] Step S104: Determine the amount of settlement change between the first settlement data sequence and the second settlement data sequence, and determine whether the amount of settlement change is greater than a dynamically preset threshold, wherein the dynamically preset threshold is dynamically set according to the sequence length of the settlement data sequence.
[0059] In this step, the first and second settlement data sequences are aligned, and a preset sliding window is used to slide between the first and second settlement data sequences. During each slide, the settlement difference between the first and second settlement data in the sliding window is obtained, where the sliding step size of the sliding window is one settlement data. The absolute values of each settlement difference are added together to obtain the total settlement, and the total settlement is defined as the amount of settlement change between the first and second settlement data sequences.
[0060] It should be noted that the dynamic preset threshold is obtained by multiplying the fixed benchmark value by the sequence length of the current settlement data sequence to be judged.
[0061] In one specific embodiment, after determining whether the settlement change is greater than a dynamic preset threshold, if it is not greater than the dynamic preset threshold, the roadbed height data of each monitoring point in the other target reconstruction and expansion sub-roadbed section at the initial time and the settlement change directly determine the other settlement data of each monitoring point in the other target reconstruction and expansion sub-roadbed section at the current time.
[0062] Specifically, the average settlement change is obtained by dividing the settlement change by the length of the first settlement data sequence. Then, the average settlement change is subtracted from the average settlement change of the subgrade height data at each monitoring point in the other target reconstruction sub-section at the initial time. This directly yields the other settlement data at each monitoring point in the other target reconstruction sub-section at the current time. When the predicted settlement data at a certain monitoring point in the other target reconstruction sub-section exceeds the settlement threshold, the subgrade height data at that monitoring point at the current time can be collected to obtain the actual settlement data, facilitating subsequent risk warning.
[0063] In this embodiment, the settlement change does not exceed a dynamically preset threshold, which may indicate that the uniformity and integrity of the entire set of sub-roadbed sections undergoing reconstruction and expansion are very good. All sub-road sections are likely under the same geological conditions, employ the same filling techniques, and bear similar loads. Therefore, the settlement behavior of the first and second target sub-roadbed sections within this set can well represent the other sub-road sections. This allows for maximizing the accuracy of the settlement analysis while minimizing the amount of data required for the analysis.
[0064] Step S105: If the value is greater than the dynamic preset threshold, then obtain other settlement data of each monitoring point in other target reconstruction and expansion sub-roadbed sections at the current time, sort the other settlement data to obtain other settlement data sequence, wherein the other target reconstruction and expansion sub-roadbed sections are the target reconstruction and expansion sub-roadbed sections in the set of a certain reconstruction and expansion sub-roadbed sections excluding the first target reconstruction and expansion sub-roadbed section and the second target reconstruction and expansion sub-roadbed section.
[0065] Step S106: Based on the first settlement data sequence and the second settlement data sequence, a preset settlement correction strategy is used to correct the other settlement data sequences to obtain the final corrected settlement data of each monitoring point in the other target reconstruction and expansion sub-roadbed sections.
[0066] In this step, when the settlement difference between the first target reconstructed sub-subgrade segment and the second target reconstructed sub-subgrade segment (the two most distant reconstructed sub-subgrade segments in a set of reconstructed sub-subgrade segments) exceeds a threshold, it indicates that the sub-subgrade segment represented by this set may be located in a geologically abrupt transition zone (such as a sudden transition from a hard base layer to a soft soil zone). Furthermore, it is highly likely that one of the first target reconstructed sub-subgrade segments is located on a hard base layer, and the other on a soft soil zone. Therefore, when collecting settlement data for other target reconstructed sub-subgrade segments located in geologically abrupt transition zones, interference terms are more likely to occur. For example, there might be a small silt pocket or rock directly below monitoring point A of another target reconstructed sub-subgrade segment, or the compaction of the fill material at that point might be slightly insufficient, or even the monitoring point itself might be slightly disturbed, leading to interference terms.
[0067] Therefore, based on the first and second settlement data sequences, a preset settlement correction strategy is used to correct other settlement data sequences. The purpose is not to deny the accuracy of the measurements, but rather to attempt to remove the "local, accidental interference" and extract signals that better reflect the overall trend of geological changes, thus obtaining the final corrected settlement data for each monitoring point in the subgrade section of other target reconstruction projects. Specifically, the settlement correction strategy implements the following steps:
[0068] Obtain the planar coordinates of all monitoring points within the first target roadbed reconstruction and expansion sub-section, the second target roadbed reconstruction and expansion sub-section, and other target roadbed reconstruction and expansion sub-sections on the electronic map. Using the center point of the first target roadbed reconstruction and expansion sub-section as the starting point and the center point of the second target roadbed reconstruction and expansion sub-section as the ending point, calculate the relative positional ratio coefficient of each monitoring point in the other target roadbed reconstruction and expansion sub-sections in the target direction. The first average settlement corresponding to the first target roadbed reconstruction and expansion sub-section is less than the first average settlement corresponding to the second target roadbed reconstruction and expansion sub-section. The target direction is the direction from the starting point to the ending point. The expression for calculating the relative positional ratio coefficient is: In the formula, The relative position ratio coefficient of the p-th monitoring point in the sub-roadbed section for other targets in the target direction. The distance between the p-th monitoring point and the starting point in the sub-roadbed section that is being upgraded and expanded for other targets. The distance between the starting point and the ending point is used; based on the relative position ratio coefficients, the first average settlement and the second average settlement, the expected settlement of each monitoring point in the sub-roadbed section of other target reconstruction and expansion is determined; the other settlement data and the corresponding expected settlement are weighted and integrated to obtain the final other corrected settlement data of each monitoring point in the sub-roadbed section of other target reconstruction and expansion.
[0069] It should be noted that the expression for calculating the expected settlement is as follows:
[0070] ,
[0071] In the formula, The expected settlement at the p-th monitoring point in the subgrade section for other target reconstruction and expansion. The first average settlement, The second average settlement is given by the first average settlement and the second average settlement, which are obtained by calculating the arithmetic mean of the first settlement data sequence and the second settlement data sequence, respectively.
[0072] ,
[0073] In the formula, The corrected settlement at the p-th monitoring point in the subgrade section for other target reconstruction and expansion. The measured settlement at the p-th monitoring point in the subgrade section for other target reconstruction and expansion projects. This is a correction factor, and its value is positively correlated with the amount of settlement change; the larger the settlement change, the stronger the geological heterogeneity, and the lower the reliability of the original data. The closer the value is to 1.
[0074] In summary, the method of this application indicates good roadbed uniformity when the settlement change is small. The method adopts a simplified method for estimating the average change, and outputs results efficiently while ensuring accuracy as much as possible. When the settlement change exceeds the dynamic threshold, it can keenly identify potential risks such as geological abrupt changes and automatically trigger a settlement correction strategy based on two farthest benchmark sub-segments. This strategy effectively filters out noise introduced by local construction disturbances, environmental interference, and measurement errors through spatial mapping (calculating the relative position ratio coefficient) and constructing a settlement gradient (calculating the expected settlement). It also extracts the true settlement signal that reflects the overall geological trend, thereby greatly reducing the risk of misjudgment due to local anomalies and making the analysis results more realistic and reliable.
[0075] Please see Figure 2 The diagram shows a structural block diagram of a roadbed settlement analysis system according to this application.
[0076] like Figure 2 As shown, the roadbed settlement analysis system 200 includes a division module 210, a clustering module 220, a first sorting module 230, a judgment module 240, a second sorting module 250, and a correction module 260.
[0077] The segmentation module 210 is configured to acquire roadbed height data at each monitoring point in the reconstructed roadbed segment at the initial time, and divide the reconstructed roadbed segment according to the roadbed height data using a preset roadbed interception strategy to obtain at least one reconstructed sub-roadbed segment; the clustering module 220 is configured to cluster the at least one reconstructed sub-roadbed segment according to the roadbed segment length of each reconstructed sub-roadbed segment to obtain at least one set of reconstructed sub-roadbed segments, and select a first target reconstructed sub-roadbed segment and a second target reconstructed sub-roadbed segment from a set of reconstructed sub-roadbed segments based on preset roadbed segment selection rules; the first sorting module 230 is configured to acquire first settlement data at each monitoring point in the first target reconstructed sub-roadbed segment at the current time, sort the first settlement data to obtain a first settlement data sequence, and acquire second settlement data at each monitoring point in the second target reconstructed sub-roadbed segment at the current time, sort the second settlement data to obtain a second settlement data sequence; and determine... Module 240 is configured to determine the settlement change between the first settlement data sequence and the second settlement data sequence, and to determine whether the settlement change is greater than a dynamically preset threshold, wherein the dynamically preset threshold is dynamically set according to the sequence length of the settlement data sequence; the second sorting module 250 is configured to, if greater than the dynamically preset threshold, acquire other settlement data of each monitoring point in other target reconstruction sub-roadbed sections at the current time, sort the other settlement data to obtain other settlement data sequences, wherein the other target reconstruction sub-roadbed sections are the target reconstruction sub-roadbed sections in the set of reconstruction sub-roadbed sections excluding the first target reconstruction sub-roadbed section and the second target reconstruction sub-roadbed section; the correction module 260 is configured to, based on the first settlement data sequence and the second settlement data sequence, use a preset settlement correction strategy to correct the other settlement data sequences to obtain the final other corrected settlement data of each monitoring point in other target reconstruction sub-roadbed sections.
[0078] It should be understood that Figure 2 The modules and references described in the document Figure 1 The steps described in the text correspond to those in the method described above. Therefore, the operations, features, and corresponding technical effects described above also apply to the method described in the text. Figure 2The various modules in the document will not be described in detail here.
[0079] In other embodiments, the present invention also provides a computer-readable storage medium having a computer program stored thereon, wherein when the program instructions are executed by a processor, the processor performs the subgrade settlement analysis method for any of the above method embodiments.
[0080] In one embodiment, the computer-readable storage medium of the present invention stores computer-executable instructions, which are configured as follows:
[0081] Obtain roadbed height data at each monitoring point in the roadbed reconstruction and expansion section at the initial time. Based on the height data of each path, divide the roadbed reconstruction and expansion section using a preset roadbed interception strategy to obtain at least one reconstruction and expansion sub-roadbed section.
[0082] The at least one reconstructed sub-roadbed segment is clustered according to the roadbed segment length of each reconstructed and expanded sub-roadbed segment to obtain at least one set of reconstructed and expanded sub-roadbed segments. Based on the preset roadbed segment selection rules, a first target reconstructed and expanded sub-roadbed segment and a second target reconstructed and expanded sub-roadbed segment are selected from a certain set of reconstructed and expanded sub-roadbed segments.
[0083] Acquire the first settlement data of each monitoring point in the first target reconstruction and expansion sub-roadbed section at the current time, sort the first settlement data to obtain the first settlement data sequence, and acquire the second settlement data of each monitoring point in the second target reconstruction and expansion sub-roadbed section at the current time, sort the second settlement data to obtain the second settlement data sequence.
[0084] Determine the amount of settlement change between the first settlement data sequence and the second settlement data sequence, and determine whether the amount of settlement change is greater than a dynamically preset threshold, wherein the dynamically preset threshold is dynamically set according to the sequence length of the settlement data sequence;
[0085] If the value is greater than the dynamic preset threshold, then other settlement data of each monitoring point in other target reconstruction and expansion sub-roadbed sections are obtained at the current time, and the other settlement data are sorted to obtain other settlement data sequences. The other target reconstruction and expansion sub-roadbed sections are the target reconstruction and expansion sub-roadbed sections in the set of reconstruction and expansion sub-roadbed sections excluding the first target reconstruction and expansion sub-roadbed section and the second target reconstruction and expansion sub-roadbed section.
[0086] Based on the first settlement data sequence and the second settlement data sequence, a preset settlement correction strategy is used to correct the other settlement data sequences to obtain the final corrected settlement data of each monitoring point in the other target reconstruction and expansion sub-roadbed sections.
[0087] Computer-readable storage media may include a stored program area and a stored data area, wherein the stored program area may store an operating system and an application program required for at least one function; the stored data area may store data created based on the use of the roadbed settlement analysis system. Furthermore, the computer-readable storage medium may include high-speed random access memory, and may also include memory, such as at least one disk storage device, flash memory device, or other non-volatile solid-state storage device. In some embodiments, the computer-readable storage medium may optionally include memory remotely located relative to a processor, and this remote memory may be connected to the roadbed settlement analysis system via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.
[0088] Figure 3 This is a schematic diagram of the structure of the electronic device provided in the embodiment of the present invention, such as... Figure 3 As shown, the device includes a processor 310 and a memory 320. The electronic device may also include an input device 330 and an output device 340. The processor 310, memory 320, input device 330, and output device 340 can be connected via a bus or other means. Figure 3 Taking a bus connection as an example, the memory 320 is the computer-readable storage medium described above. The processor 310 executes various server functions and data processing by running non-volatile software programs, instructions, and modules stored in the memory 320, thereby implementing the roadbed settlement analysis method described in the above embodiment. The input device 330 can receive input digital or character information and generate key signal inputs related to user settings and function control of the roadbed settlement analysis system. The output device 340 may include a display screen or other display device.
[0089] The aforementioned electronic device can execute the method provided in the embodiments of the present invention, and has the corresponding functional modules and beneficial effects for executing the method. Technical details not described in detail in this embodiment can be found in the method provided in the embodiments of the present invention.
[0090] In one implementation, the aforementioned electronic device is used in a roadbed settlement analysis system for reconstruction and expansion projects. As a client, it includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, which, when executed by the at least one processor, enable the at least one processor to:
[0091] Obtain roadbed height data at each monitoring point in the roadbed reconstruction and expansion section at the initial time. Based on the height data of each path, divide the roadbed reconstruction and expansion section using a preset roadbed interception strategy to obtain at least one reconstruction and expansion sub-roadbed section.
[0092] The at least one reconstructed sub-roadbed segment is clustered according to the roadbed segment length of each reconstructed and expanded sub-roadbed segment to obtain at least one set of reconstructed and expanded sub-roadbed segments. Based on the preset roadbed segment selection rules, a first target reconstructed and expanded sub-roadbed segment and a second target reconstructed and expanded sub-roadbed segment are selected from a certain set of reconstructed and expanded sub-roadbed segments.
[0093] Acquire the first settlement data of each monitoring point in the first target reconstruction and expansion sub-roadbed section at the current time, sort the first settlement data to obtain the first settlement data sequence, and acquire the second settlement data of each monitoring point in the second target reconstruction and expansion sub-roadbed section at the current time, sort the second settlement data to obtain the second settlement data sequence.
[0094] Determine the amount of settlement change between the first settlement data sequence and the second settlement data sequence, and determine whether the amount of settlement change is greater than a dynamically preset threshold, wherein the dynamically preset threshold is dynamically set according to the sequence length of the settlement data sequence;
[0095] If the value is greater than the dynamic preset threshold, then other settlement data of each monitoring point in other target reconstruction and expansion sub-roadbed sections are obtained at the current time, and the other settlement data are sorted to obtain other settlement data sequences. The other target reconstruction and expansion sub-roadbed sections are the target reconstruction and expansion sub-roadbed sections in the set of reconstruction and expansion sub-roadbed sections excluding the first target reconstruction and expansion sub-roadbed section and the second target reconstruction and expansion sub-roadbed section.
[0096] Based on the first settlement data sequence and the second settlement data sequence, a preset settlement correction strategy is used to correct the other settlement data sequences to obtain the final corrected settlement data of each monitoring point in the other target reconstruction and expansion sub-roadbed sections.
[0097] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., including several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods of various embodiments or some parts of embodiments.
[0098] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims
1. A method of analyzing settlement of a reconstructed roadbed, characterized by, The method comprises the following steps: Obtaining the roadbed height data of each monitoring point in the initial moment of the reconstruction and expansion roadbed section, and dividing the reconstruction and expansion roadbed section according to the preset roadbed intercepting strategy based on the roadbed height data of each path, to obtain at least one reconstruction and expansion sub-roadbed section; Clustering the at least one reconstruction and expansion sub-roadbed section according to the length of each reconstruction and expansion sub-roadbed section, to obtain at least one reconstruction and expansion sub-roadbed section set, and selecting a first target reconstruction and expansion sub-roadbed section and a second target reconstruction and expansion sub-roadbed section in a certain reconstruction and expansion sub-roadbed section set based on the preset roadbed section selection rule, wherein the selection of the first target reconstruction and expansion sub-roadbed section and the second target reconstruction and expansion sub-roadbed section in the certain reconstruction and expansion sub-roadbed section set based on the preset roadbed section selection rule comprises: Obtaining the position information of each reconstruction and expansion sub-roadbed section in the certain reconstruction and expansion sub-roadbed section set, and determining the first target reconstruction and expansion sub-roadbed section and the second target reconstruction and expansion sub-roadbed section with the largest distance according to the position information; Obtaining the first settlement data of each monitoring point in the first target reconstruction and expansion sub-roadbed section at the current moment, sorting the first settlement data to obtain a first settlement data sequence, and obtaining the second settlement data of each monitoring point in the second target reconstruction and expansion sub-roadbed section at the current moment, sorting the second settlement data to obtain a second settlement data sequence; Determining the settlement change between the first settlement data sequence and the second settlement data sequence, and determining whether the settlement change is greater than a dynamic preset threshold, wherein the dynamic preset threshold is dynamically set according to the sequence length of the settlement data sequence; If it is greater than the dynamic preset threshold, obtaining other settlement data of each monitoring point in other target reconstruction and expansion sub-roadbed sections at the current moment, sorting the other settlement data to obtain an other settlement data sequence, wherein the other target reconstruction and expansion sub-roadbed sections are target reconstruction and expansion sub-roadbed sections in the certain reconstruction and expansion sub-roadbed section set except the first target reconstruction and expansion sub-roadbed section and the second target reconstruction and expansion sub-roadbed section; According to the first settlement data sequence and the second settlement data sequence, the other settlement data sequence is corrected by using a preset settlement correction strategy, to obtain the final other correction settlement data of each monitoring point in the other target reconstruction and expansion sub-roadbed section.
2. The method of claim 1, wherein, The method comprises the following steps: Based on the position information of each monitoring point, the roadbed height data is sorted to obtain a roadbed height data sequence; Determining whether the height difference between the first roadbed height data and the second roadbed height data in the roadbed height data sequence is greater than a preset height threshold, wherein the first roadbed height data and the second roadbed height data are two adjacent roadbed height data; If the first roadbed height data and the second roadbed height data are greater than the preset height threshold, the first roadbed height data and the second roadbed height data are divided into different roadbed height data subsequences, otherwise the first roadbed height data and the second roadbed height data are divided into the same roadbed height data subsequence, and at least one roadbed height data subsequence is obtained; The at least one reconstruction and expansion sub-roadbed section is divided based on the at least one roadbed height data subsequence, and at least one reconstruction and expansion sub-roadbed section is obtained, wherein each monitoring point in a reconstruction and expansion sub-roadbed section is a monitoring point corresponding to a roadbed height data subsequence.
3. The method of claim 1, wherein, The path segment length is the number of monitoring points; The at least one reconstruction and expansion sub-roadbed section is clustered according to the path segment length of each reconstruction and expansion sub-roadbed section, and at least one reconstruction and expansion sub-roadbed section set is obtained, including: Each reconstruction and expansion sub-roadbed section containing the same number of monitoring points is clustered to obtain at least one initial reconstruction and expansion sub-roadbed section set; Each initial reconstruction and expansion sub-roadbed section in a certain initial reconstruction and expansion sub-roadbed section set is sorted based on the position information of the initial reconstruction and expansion sub-roadbed section to obtain a certain initial reconstruction and expansion sub-roadbed section sequence, and a certain target initial reconstruction and expansion sub-roadbed section at a center point position is selected in the certain initial reconstruction and expansion sub-roadbed section sequence; The certain target initial reconstruction and expansion sub-roadbed section is taken as a certain reference sub-roadbed section, and a certain roadbed section distance between a first target initial reconstruction and expansion sub-roadbed section and the certain reference sub-roadbed section is determined, wherein the first target initial reconstruction and expansion sub-roadbed section is any target initial reconstruction and expansion sub-roadbed section in the certain initial reconstruction and expansion sub-roadbed section sequence except the certain target initial reconstruction and expansion sub-roadbed section; If the certain roadbed section distance is not greater than the preset distance threshold, the first target initial reconstruction and expansion sub-roadbed section is divided into a certain reconstruction and expansion sub-roadbed section set with the certain target initial reconstruction and expansion sub-roadbed section as the reference sub-roadbed section; If the certain roadbed section distance is greater than the preset distance threshold, the first target initial reconstruction and expansion sub-roadbed section is taken as a first reference sub-roadbed section, and a roadbed section distance between a second target initial reconstruction and expansion sub-roadbed section and the first reference sub-roadbed section is determined, wherein the second target initial reconstruction and expansion sub-roadbed section is any target initial reconstruction and expansion sub-roadbed section in the certain initial reconstruction and expansion sub-roadbed section sequence except the first target initial reconstruction and expansion sub-roadbed section and each target initial reconstruction and expansion sub-roadbed section in the certain reconstruction and expansion sub-roadbed section set.
4. The method of claim 1, wherein, The determination of the settlement change between the first settlement data sequence and the second settlement data sequence includes: The first settlement data sequence and the second settlement data sequence are aligned, and a preset sliding window is slid on the first settlement data sequence and the second settlement data sequence, and at each sliding time, a settlement difference value between first settlement data and second settlement data in the sliding window is obtained, wherein the sliding step of the sliding window is one settlement data; The absolute values of each settlement difference value are added to obtain a total settlement amount, and the total settlement amount is defined as a settlement change amount between the first settlement data sequence and the second settlement data sequence.
5. The method of claim 1, wherein, After judging whether the settlement change amount is greater than a dynamic preset threshold, the method further comprises: If the settlement change amount is not greater than the dynamic preset threshold, the subgrade height data of each monitoring point in the other target reconstruction and expansion subgrade section at the initial time and the settlement change amount directly determine the other settlement data of each monitoring point in the other target reconstruction and expansion subgrade section at the current time.
6. The method of claim 4, wherein, The other settlement data sequence is corrected according to the first settlement data sequence and the second settlement data sequence by using a preset settlement correction strategy, to obtain final other corrected settlement data of each monitoring point in the other target reconstruction and expansion subgrade section. The planar coordinates of all monitoring points in the first target reconstruction and expansion subgrade section, the second target reconstruction and expansion subgrade section, and the other target reconstruction and expansion subgrade section in an electronic map are obtained. The relative position proportion coefficients of each monitoring point in the other target reconstruction and expansion subgrade section in a target direction are calculated, taking the center point position of the first target reconstruction and expansion subgrade section as a starting point and the center point position of the second target reconstruction and expansion subgrade section as an ending point, wherein the first average settlement amount corresponding to the first target reconstruction and expansion subgrade section is less than the second average settlement amount corresponding to the second target reconstruction and expansion subgrade section, and the target direction is the direction from the starting point to the ending point, and the expression for calculating the relative position proportion coefficients is: , In the formula, is a relative position proportional coefficient of the pth monitoring point in the target direction in the other target reconstruction and expansion sub-roadbed section, is a distance between the pth monitoring point and the starting point in the other target reconstruction and expansion sub-roadbed section, is a distance between the starting point and the ending point. The expected settlement amount of each monitoring point in the other target reconstruction and expansion subgrade section is determined according to each relative position proportion coefficient, the first average settlement amount, and the second average settlement amount. The final other corrected settlement data of each monitoring point in the other target reconstruction and expansion subgrade section is obtained by weighted fusion of each other settlement data and the corresponding expected settlement amount.
7. A reconstruction embankment settlement analysis system characterized by, The method comprises: The division module is configured to obtain the subgrade height data of each monitoring point in the reconstruction and expansion subgrade section at the initial time, divide the reconstruction and expansion subgrade section by using a preset subgrade intercepting strategy according to each path height data, and obtain at least one reconstruction and expansion subgrade section. The clustering module is configured to cluster the at least one reconstruction and expansion subgrade section according to the subgrade section lengths of each reconstruction and expansion subgrade section, obtain at least one reconstruction and expansion subgrade section set, and select the first target reconstruction and expansion subgrade section and the second target reconstruction and expansion subgrade section in a certain reconstruction and expansion subgrade section set based on a preset subgrade section selection rule. The position information of each reconstruction and expansion subgrade section in the certain reconstruction and expansion subgrade section set is obtained, and the first target reconstruction and expansion subgrade section and the second target reconstruction and expansion subgrade section farthest away from each other are determined according to each position information. The first sorting module is configured to obtain first settlement data of each monitoring point in the first target reconstruction and expansion sub-roadbed section at a current time, sort the first settlement data to obtain a first settlement data sequence, and obtain second settlement data of each monitoring point in the second target reconstruction and expansion sub-roadbed section at the current time, sort the second settlement data to obtain a second settlement data sequence; The judging module is configured to determine a settlement change amount between the first settlement data sequence and the second settlement data sequence, and judge whether the settlement change amount is greater than a dynamic preset threshold, wherein the dynamic preset threshold is dynamically set according to a sequence length of the settlement data sequence; The second sorting module is configured to, if the settlement change amount is greater than the dynamic preset threshold, obtain other settlement data of each monitoring point in other target reconstruction and expansion sub-roadbed sections at the current time, sort the other settlement data to obtain an other settlement data sequence, wherein the other target reconstruction and expansion sub-roadbed sections are target reconstruction and expansion sub-roadbed sections in the certain reconstruction and expansion sub-roadbed section set except the first target reconstruction and expansion sub-roadbed section and the second target reconstruction and expansion sub-roadbed section. The correcting module is configured to correct the other settlement data sequence according to the first settlement data sequence and the second settlement data sequence by using a preset settlement correction strategy, to obtain final other corrected settlement data of each monitoring point in the other target reconstruction and expansion sub-roadbed sections.
8. An electronic device, comprising: The computer program product comprises a computer readable storage medium, and the computer readable storage medium stores the program. The program is executed by the processor to implement the method of any one of claims 1 to 6.
9. A computer readable storage medium having stored thereon a computer program, characterized in that,
Citation Information
Patent Citations
Settlement information prediction method and prediction system for roadbed
CN108470225A
Method and system for predicting settlement of soft soil foundation of expressway
CN118194024A