Linear engineering settlement analysis method and system based on settlement monitoring data

Abstract

The invention relates to the technical field of ground subsidence monitoring analysis, and particularly discloses a linear engineering subsidence analysis method and system based on subsidence monitoring data, and the system comprises a data acquisition and processing unit, a data analysis and extraction unit and a subsidence graph drawing unit, data standardization is realized through abnormal value processing and correction; the intermediate unit is used for matching and superposing the standardized data and a web map coordinate to generate a settlement distribution diagram, and providing a linear engineering routing drawing and buffer area setting window; and the latter extracts settlement data in the buffer area, and generates a histogram or a line graph by taking the length of the routing line or the section line as an abscissa and the settlement amount as an ordinate. The settlement change is visually and quantitatively displayed at the Web end, support is provided for engineering planning and site selection, settlement early warning and risk prevention and control are assisted, and the monitoring and analysis capability is improved.

Description

A linear engineering settlement analysis method and system based on settlement monitoring data Technical Field

[0001] This invention relates to the field of linear engineering ground settlement analysis technology, specifically to a linear engineering settlement analysis method and system based on settlement monitoring data. Background Technology

[0002] With the acceleration of urbanization and the advancement of high-quality development strategy in my country, the scale of linear engineering projects such as railways, highways, and rail transit continues to expand. The long-term safe operation of such projects places extremely high demands on the dynamic monitoring and accurate analysis of ground settlement along the route. It is necessary to grasp the settlement distribution pattern and lateral change trend along the project route and surrounding areas in real time, so as to provide data support for project planning and site selection, construction risk prevention and control, and early warning during operation.

[0003] In the field of geosciences, ground subsidence monitoring technology has reached a certain level: at present, the industry generally uses IoT monitoring, remote sensing monitoring and in-situ monitoring equipment to obtain subsidence data, and combines geographic information system technology to carry out subsidence statistics and basic analysis. Related technologies have been applied in geological surveys, regional subsidence assessment and other scenarios.

[0004] However, existing technical solutions still have the following significant technical problems:

[0005] 1) Existing analyses mostly focus on the overall settlement distribution of the region, lacking specific analyses for linear engineering projects;

[0006] 2) Although existing technical solutions can generate regional settlement maps, they are difficult to quantify and analyze the risk of sudden settlement changes in key sections of the project;

[0007] 3) Existing technologies lack the ability to standardize the processing of multi-source monitoring data, and the data processing and visualization are disconnected, making it impossible to quickly convert the cleaned monitoring data into settlement charts that engineers can directly interpret, thus affecting decision-making efficiency.

[0008] In summary, current ground settlement monitoring and analysis technologies suffer from poor comprehensive analytical capabilities in terms of linear engineering-specific analysis, data, analysis, and visualization. Summary of the Invention

[0009] The purpose of this invention is to provide a linear engineering settlement analysis method and system based on settlement monitoring data, so as to solve the technical problem that the current ground settlement monitoring and analysis technology has poor comprehensive analysis capabilities in terms of linear engineering-specific analysis capabilities, data, analysis, and visualization.

[0010] To solve the above-mentioned technical problems, the present invention specifically provides the following technical solution:

[0011] A linear engineering settlement analysis method based on settlement monitoring data includes the following steps:

[0012] Step 100: Draw the route of the target linear project on the settlement distribution map constructed based on settlement monitoring data, and set a buffer zone along the route, or directly use the route of the target linear project as a profile line.

[0013] Step 200: Extract settlement data within the buffer zone, or extract settlement data at the intersection of the profile line and the settlement distribution map;

[0014] Step 300: Using the length of the target linear project's route or the length of the profile line as the abscissa and the corresponding settlement data as the ordinate, generate a bar chart or a line chart to represent the settlement change trend of the target linear project.

[0015] As a preferred embodiment of the present invention, the method of constructing a settlement distribution map based on settlement monitoring data specifically includes:

[0016] Step 101: Obtain monitoring point information data of various monitoring devices in the target area and the settlement monitoring data corresponding to the monitoring points through the integration interface;

[0017] Step 102: Perform data standardization processing on the acquired monitoring point information data and the settlement monitoring data corresponding to the monitoring points. Data standardization processing includes outlier handling and data correction, and the standardized data is stored in a structured table format.

[0018] Step 103: By matching coordinates, the structured table data is overlaid with the web map of the target area to establish a one-to-one correspondence between the data and the map location, thus forming a subsidence distribution map of the target area.

[0019] As a preferred embodiment of the present invention, the monitoring point information includes: number, name, location, X coordinate, Y coordinate, elevation, and point type;

[0020] The settlement monitoring data corresponding to the monitoring points include: monitoring data collected by GNSS, level, ground marker, bedrock marker, stratification marker, or any one or more of these monitoring devices;

[0021] The settlement monitoring data corresponding to the monitoring points are classified based on the time range.

[0022] As a preferred embodiment of the present invention, after overlaying the structured table data with a web map, based on the acquired monitoring point information data, the area between two adjacent monitoring devices is selected as an interpolation unit, and the settlement of each interpolation unit is calculated using an interpolation method to obtain continuous settlement distribution data; based on the continuous settlement distribution data, a continuous ground settlement distribution map is generated on the web map, and the distribution map uses color gradients to represent different settlement levels;

[0023] The interpolation method is either Kriging interpolation or inverse distance weighted interpolation.

[0024] As a preferred embodiment of the present invention, the settlement data of the monitoring points are subjected to semi-variogram analysis to determine the parameters of the variogram model, including nugget value, sill value and range; and the estimated settlement value and estimated variance of the interpolation unit are calculated based on the variogram model.

[0025] As a preferred embodiment of the present invention, the specific method for calculating the estimated settlement value and estimated variance of the interpolation unit based on the variogram model includes:

[0026] Step 201: Select multiple monitoring devices within the target area as sample points, and extract the mean of the daily settlement data of each monitoring device based on the time range as the sample value. Calculate the distance h between any two sample points and the semivariance of the corresponding mean settlement value. The calculation formula is as follows:

[0027] ;

[0028] in, Represented as distance The average settlement of the sample points; Represented as sample points The average settlement; Represented as with Distance is The average settlement of the sample points;

[0029] Step 202: Based on the calculated multiple sets A spherical model is used for fitting, and the expression of the spherical model is:

[0030] ;

[0031] ;

[0032] in, Expressed as the value of a nugget. Represented as sill values, obtained through fitting This is represented as a variable range.

[0033] As a preferred embodiment of the present invention, the weight calculation for the inverse distance weight interpolation adopts the following formula:

[0034] ;

[0035] in Represented as the first The weight of each monitoring point Represented as interpolation unit to the th The distance between monitoring points This is the distance attenuation coefficient. This represents the total number of monitoring devices involved in the interpolation.

[0036] As a preferred embodiment of the present invention, the data correction method in step 102 includes:

[0037] Using the average settlement of the bedrock marker during the monitoring period as the benchmark value, the systematic error value of each monitoring device is calculated. The systematic error value is equal to the average settlement of the device minus the benchmark value. The data correction is completed by subtracting the corresponding systematic error value from the data after processing the outliers of each monitoring device.

[0038] A linear engineering settlement analysis system based on settlement monitoring data, used to implement the aforementioned linear engineering ground settlement analysis method, includes:

[0039] The data acquisition and processing unit is equipped with an integrated interface, through which it acquires settlement data of the target area from various detection devices in the target area, and standardizes the settlement data through a built-in outlier processing module and a data correction module.

[0040] The data analysis and extraction unit, through coordinate matching, overlays the standardized data from the data acquisition and processing unit with the web map of the target area to form a subsidence distribution map of the target area.

[0041] The data analysis and extraction unit is configured to provide a line drawing window and a buffer setting window on the settlement distribution map of the linear engineering in the target area;

[0042] The settlement map drawing unit extracts the settlement data corresponding to the monitoring equipment within the buffer zone, and generates a bar chart or a line chart with the length of the target linear project line or the length of the profile line as the horizontal axis and the corresponding settlement data as the vertical axis.

[0043] Compared with the prior art, the present invention has the following advantages:

[0044] This invention enables online mapping of ground settlement profiles for linear engineering projects using data from ground settlement monitoring stations. This allows for a direct and quantitative display of the lateral changes in settlement of existing linear projects, digitally showcasing ground settlement changes along important transportation arteries, and assisting in ground settlement monitoring and early warning analysis. This effectively prevents engineering risks caused by ground settlement. Attached Figure Description

[0045] To more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely exemplary, and those skilled in the art can derive other embodiments based on the provided drawings without creative effort.

[0046] Figure 1 is a schematic diagram of the linear analysis technique for ground subsidence in an embodiment of the present invention;

[0047] Figure 2 is a schematic diagram of the composition of the ground settlement linear analysis system in an embodiment of the present invention. Detailed Implementation

[0048] 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, and 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.

[0049] As shown in Figure 1, this embodiment provides a linear engineering settlement analysis method based on settlement monitoring data, including the following steps:

[0050] Step 100: Draw the route of the target linear project on the settlement distribution map constructed based on settlement monitoring data, and set a buffer zone along the route, or directly use the route of the target linear project as a profile line.

[0051] Step 200: Extract settlement data within the buffer zone, or extract settlement data at the intersection of the profile line and the settlement distribution map;

[0052] Step 300: Using the length of the target linear project's route or the length of the profile line as the abscissa and the corresponding settlement data as the ordinate, generate a bar chart or a line chart to represent the settlement change trend of the target linear project.

[0053] The methods for constructing settlement distribution maps based on settlement monitoring data include:

[0054] Step 101: Obtain monitoring point information data of various monitoring devices in the target area and the settlement monitoring data corresponding to the monitoring points through the integration interface;

[0055] Step 102: Perform data standardization processing on the acquired monitoring point information data and the settlement monitoring data corresponding to the monitoring points. Data standardization processing includes outlier handling and data correction, and the standardized data is stored in a structured table format.

[0056] Step 103: By matching coordinates, the structured table data is overlaid with the web map of the target area to establish a one-to-one correspondence between the data and the map location, thus forming a subsidence distribution map of the target area.

[0057] Monitoring point information includes: number, name, location, X coordinate, Y coordinate, elevation, and point type;

[0058] The settlement monitoring data corresponding to the monitoring points include: monitoring data collected by GNSS, level, ground marker, bedrock marker, stratification marker, or any one or more of these monitoring devices;

[0059] The settlement monitoring data corresponding to the monitoring points are classified based on the time range.

[0060] After overlaying the structured table data with the web map, based on the acquired monitoring point information, the area between two adjacent monitoring devices is selected as an interpolation unit. The settlement of each interpolation unit is calculated using an interpolation method to obtain continuous settlement distribution data. Based on the continuous settlement distribution data, a continuous ground settlement distribution map is generated on the web map, and the distribution map uses color gradients to represent different settlement levels.

[0061] The interpolation method is either Kriging interpolation or inverse distance weighted interpolation.

[0062] A semi-variogram analysis was performed on the settlement data of the monitoring points to determine the parameters of the variogram model, including the nugget value, sill value, and range. Based on the variogram model, the estimated settlement value and estimated variance of the interpolation unit were calculated.

[0063] The specific methods for calculating the estimated settlement and variance of the interpolation unit based on the variogram model include:

[0064] Step 201: Select multiple monitoring devices within the target area as sample points, and extract the mean of the daily settlement data of each monitoring device based on the time range as the sample value. Calculate the distance h between any two sample points and the semivariance of the corresponding mean settlement value. The calculation formula is as follows:

[0065] ;

[0066] in, Represented as distance The average settlement of the sample points; Represented as sample points The average settlement; Represented as with Distance is The average settlement of the sample points;

[0067] Step 202: Based on the calculated multiple sets A spherical model is used for fitting, and the expression of the spherical model is:

[0068] ;

[0069] ;

[0070] in, Expressed as the value of a nugget. Represented as sill values, obtained through fitting This is represented as a variable range.

[0071] The weights for the inverse distance weighted interpolation are calculated using the following formula:

[0072] ;

[0073] in Represented as the first The weight of each monitoring point Represented as interpolation unit to the th The distance between monitoring points This is the distance attenuation coefficient. This represents the total number of monitoring devices involved in the interpolation.

[0074] The data correction method in step 102 includes:

[0075] Using the average settlement of the bedrock marker during the monitoring period as the benchmark value, the systematic error value of each monitoring device is calculated. The systematic error value is equal to the average settlement of the device minus the benchmark value. The data correction is completed by subtracting the corresponding systematic error value from the data after processing the outliers of each monitoring device.

[0076] As shown in Figure 2, the present invention further provides a linear engineering settlement analysis system based on settlement monitoring data, used to implement the aforementioned linear engineering ground settlement analysis method, including:

[0077] The data acquisition and processing unit is equipped with an integrated interface, through which it acquires settlement data of the target area from various detection devices in the target area, and standardizes the settlement data through a built-in outlier processing module and a data correction module.

[0078] The data analysis and extraction unit, through coordinate matching, overlays the standardized data from the data acquisition and processing unit with the web map of the target area to form a subsidence distribution map of the target area.

[0079] The data analysis and extraction unit is configured to provide a line drawing window and a buffer setting window on the settlement distribution map of the linear engineering in the target area;

[0080] The settlement map drawing unit extracts the settlement data corresponding to the monitoring equipment within the buffer zone, and generates a bar chart or a line chart with the length of the target linear project line or the length of the profile line as the horizontal axis and the corresponding settlement data as the vertical axis.

[0081] The above embodiments are merely exemplary embodiments of this application and are not intended to limit this application. The scope of protection of this application is defined by the claims. Those skilled in the art can make various modifications or equivalent substitutions to this application within its substance and scope of protection, and such modifications or equivalent substitutions should also be considered to fall within the scope of protection of this application.

Claims

1. A linear engineering settlement analysis method based on settlement monitoring data, characterized in that, The process includes the following steps: Step 100: Draw the route of the target linear project on the settlement distribution map constructed based on settlement monitoring data, and set a buffer zone along the route, or directly use the route of the target linear project as a profile line; Step 200: Extract the settlement data within the buffer zone, or extract the settlement data at the intersection of the profile line and the settlement distribution map; Step 300: Generate a bar chart or line chart with the length of the route of the target linear project or the length of the profile line as the abscissa and the corresponding settlement data as the ordinate, respectively, to represent the settlement change trend of the target linear project.

2. The linear engineering settlement analysis method based on settlement monitoring data according to claim 1, characterized in that, The specific steps for constructing a settlement distribution map based on settlement monitoring data include: Step 101, acquiring monitoring point information data from various monitoring devices in the target area and the corresponding settlement monitoring data through an integration interface; Step 102, performing data standardization processing on the acquired monitoring point information data and the corresponding settlement monitoring data, including outlier handling and data correction, and storing the standardized data in a structured table format; Step 103, overlaying the structured table data with a web map of the target area through coordinate matching to establish a one-to-one correspondence between the data and the map location, thereby forming a settlement distribution map of the target area.

3. The linear engineering settlement analysis method based on settlement monitoring data according to claim 1, characterized in that, The monitoring point information includes: number, name, location, X coordinate, Y coordinate, elevation, and point type; the settlement monitoring data corresponding to the monitoring point includes: monitoring data collected by GNSS, level, ground marker, bedrock marker, stratification marker, or any one or more of these monitoring devices; wherein, the settlement monitoring data corresponding to the monitoring point is classified based on the time range.

4. The linear engineering settlement analysis method based on settlement monitoring data according to claim 1, characterized in that, After overlaying the structured tabular data with the web map, based on the acquired monitoring point information, the area between two adjacent monitoring devices is selected as an interpolation unit. The settlement of each interpolation unit is calculated using an interpolation method to obtain continuous settlement distribution data. Based on the continuous settlement distribution data, a continuous ground settlement distribution map is generated on the web map. The distribution map uses color gradients to represent different settlement levels. The interpolation method is either Kriging interpolation or inverse distance weighted interpolation.

5. The linear engineering settlement analysis method based on settlement monitoring data according to claim 4, characterized in that, A semi-variogram analysis was performed on the settlement data of the monitoring points to determine the parameters of the variogram model, including the nugget value, sill value, and range. Based on the variogram model, the estimated settlement value and estimated variance of the interpolation unit were calculated.

6. The linear engineering settlement analysis method based on settlement monitoring data according to claim 5, characterized in that, The specific method for calculating the estimated settlement and variance of the interpolation unit based on the variogram model includes: Step 201, selecting multiple monitoring devices in the target area as sample points, and extracting the mean of the daily average settlement data of each monitoring device as the sample value based on the time range, calculating the distance h between any two sample points and the semivariance of the corresponding mean settlement, the calculation formula is: ;in, Represented as distance The average settlement of the sample points; Represented as sample points The average settlement; Represented as with Distance is The average settlement of the sample points; Step 202, based on the calculated multiple sets of... A spherical model is used for fitting, and the expression of the spherical model is: ； ;in, Expressed as the value of a nugget. Represented as sill values, obtained through fitting This is represented as a variable range.

7. The linear engineering settlement analysis method based on settlement monitoring data according to claim 1, characterized in that, The weights for the inverse distance weighted interpolation are calculated using the following formula: ;in Represented as the first The weight of each monitoring point Represented as interpolation unit to the th The distance between monitoring points This is the distance attenuation coefficient. This represents the total number of monitoring devices involved in the interpolation.

8. The linear engineering settlement analysis method based on settlement monitoring data according to claim 1, characterized in that, The data correction method in step 102 includes: using the average settlement of the bedrock marker during the monitoring period as the benchmark value, calculating the systematic error value of each monitoring device, wherein the systematic error value is equal to the average settlement of the device minus the benchmark value; and subtracting the corresponding systematic error value from the data after processing the outliers of each monitoring device to complete the data correction.

9. A linear engineering settlement analysis system based on settlement monitoring data, used to implement the linear engineering ground settlement analysis method according to any one of claims 1-2, characterized in that, include: The data acquisition and processing unit is equipped with an integrated interface to acquire settlement data of the target area from various detection devices in the target area. The settlement data is standardized using a built-in outlier handling module and a data correction module. The data analysis and extraction unit overlays the standardized data from the data acquisition and processing unit onto a web map of the target area using coordinate matching to form a settlement distribution map of the target area. The data analysis and extraction unit is configured to provide a line drawing window and a buffer setting window for the linear engineering project on the settlement distribution map of the target area. The settlement map drawing unit extracts the settlement data corresponding to the monitoring devices within the buffer zone and generates a bar chart or line chart with the length of the target linear engineering project's line or the length of the profile line as the abscissa and the corresponding settlement data as the ordinate.

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