Foundation pit deformation automatic monitoring and risk assessment system

Abstract

The invention, which relates to the technical field of foundation pit deformation monitoring, discloses an automatic foundation pit deformation monitoring and risk assessment system comprising a preset monitoring model generation module, a historical settlement data acquisition module, a settlement data analysis module, a settlement type determination module and a risk early warning module. By determining the span fluctuation interval and the complexity transformation interval, according to the settlement type judgment result and the real-time monitoring data, the settlement span needing to be evaluated and the complexity needing to be evaluated are compared with the comparison interval, the early warning signal of the corresponding grade is rapidly generated, and it is avoided that only deformation of a foundation pit is monitored; the foundation pit deformation monitoring accuracy is further improved, the foundation pit construction safety is further ensured, the risk of safety accidents caused by foundation pit deformation is effectively reduced, and the construction safety and the smooth progress of engineering are ensured.

Description

Technical Field

[0001] The invention belongs to the technical field of foundation pit deformation monitoring, and specifically relates to an automatic monitoring and risk assessment system for foundation pit deformation. Background Art

[0002] With the improvement of living standards and the development of urban civilization, the continuous emergence of super high-rise buildings and large-scale underground projects has led to deeper foundation pits. Subsequently, foundation pit construction accidents occur from time to time, posing a great threat to the lives of workers. Therefore, how to quickly, efficiently and accurately monitor the deformation of foundation pits is extremely important for the construction of building engineering foundation pits. Once a safety accident occurs in the foundation pit, it will cause the project to stop work at the least, delay the project schedule, and at the worst, endanger the lives of project construction personnel and cause huge economic losses.

[0003] A patent with the patent publication number CN117268278A discloses a foundation pit deformation detection method, including the steps of: collecting the information of a camera device and marked picture information set in a target foundation pit, and calculating a first data according to the information of the camera device and the marked picture information; collecting the information of the camera device and the marked picture information set in the target foundation pit again, and calculating a second data according to the information of the camera device and the marked picture information; judging whether the target foundation pit has deformed according to the first data and the second data. In the above methods, all are automatically collected without manual participation, and it can be monitored in real time whether the foundation pit has deformed. When deformation occurs, the danger can be discovered immediately and an alarm can be given to avoid unnecessary accidents.

[0004] During the process of ground settlement, the ground settlement itself will also cause deformation hazards to the foundation pit and also have a certain impact on its surrounding environment, especially the ground surface to a certain extent. During the ground settlement process, two different forms of triangular settlement and parabolic settlement will be caused on the ground surface.

[0005] However, during the process of monitoring the deformation of the foundation pit, generally only corresponding monitoring devices are set inside the foundation pit to monitor the foundation pit regularly. However, the internal monitoring devices can only be monitored and discovered after the foundation pit has deformed, and accurate early warning cannot be carried out for the deformation caused by ground settlement to the foundation pit. Based on this, an automatic monitoring and risk assessment system for foundation pit deformation is proposed. Summary of the Invention

[0006] The purpose of the invention is to provide an automatic monitoring and risk assessment system for foundation pit deformation, which solves the technical problem that accurate early warning cannot be carried out for the deformation caused by ground settlement to the foundation pit.

[0007] An automatic monitoring and risk assessment system for foundation pit deformation includes:

[0008] A preset monitoring model generation module, which is used to set monitoring points according to the central point position of the foundation pit, generate a preset monitoring model and obtain foundation pit surface monitoring data;

[0009] A historical settlement data acquisition module, which is used to acquire the historical settlement data of the foundation pit surface;

[0010] A settlement data analysis module, which is used to analyze the historical settlement data to obtain the span fluctuation interval and complexity transformation interval corresponding to triangular settlement and parabolic settlement respectively;

[0011] A settlement type determination module, which is used to determine the settlement type of the foundation pit surface to be evaluated according to the real-time monitoring data of the foundation pit surface to be evaluated;

[0012] A risk warning module, which is used to generate warning signals of corresponding levels according to the settlement type and real-time monitoring data of the foundation pit surface to be evaluated.

[0013] As a further solution of the present invention: The specific way to generate the preset monitoring model is:

[0014] Obtain the central point position of the foundation pit as the foundation pit calibration point Q, draw a horizontal calibration line B perpendicular to the vertical direction of the foundation pit at the foundation pit central point Q, set equally spaced monitoring points on both sides of the foundation pit calibration point Q, establish a two-dimensional coordinate system with the foundation pit calibration point Q as the origin, draw positioning points according to the monitoring data and output the coordinates to generate a preset monitoring model.

[0015] As a further solution of the present invention: The specific way to establish a two-dimensional coordinate system with the foundation pit calibration point Q as the origin is:

[0016] Take the foundation pit calibration point Q as the origin O, use the distance between each monitoring point and the foundation pit calibration point Q as the horizontal axis, and the surface settlement amount as the vertical axis to draw a two-dimensional coordinate system, draw the positioning points corresponding to each monitoring point in the two-dimensional coordinate system according to the monitoring data, and at the same time take the surface settlement amounts corresponding to different monitoring points on both sides of the foundation pit as the vertical coordinates for the positioning points corresponding to each monitoring point respectively, so as to obtain the coordinate points corresponding to each positioning point in the coordinate system and output them.

[0017] As a further solution of the present invention: The specific way to obtain the span fluctuation intervals corresponding to triangular settlement and parabolic settlement respectively is:

[0018] S01: Randomly select one from the historical settlement data of the foundation pit surface with multiple triangular settlements without replacement as the analysis data;

[0019] S02: Import the analysis data into a preset monitoring model to obtain the coordinates of each positioning point. Calculate the distance between each positioning point and the origin through the Euclidean distance formula to obtain the left span ZKn and the right span RKn respectively. Then, use the standard deviation calculation formula to obtain their standard deviation values CZ and CR, and take the average of the two as the settlement span J1 corresponding to the analysis data.

[0020] S03: Repeat the above steps S01 - S02 to obtain the settlement spans Jj corresponding to the historical settlement data of the foundation pit surface of each triangular settlement respectively. Obtain the average value Jp of each settlement span Jj, and take the average value of the absolute values of the differences between each settlement span Jj and the average value Jp as the domain value D1. Obtain the span fluctuation interval WA corresponding to the triangular settlement according to the average value Jp and the domain value D1; where j represents the historical settlement data of the foundation pit surface of different triangular settlements.

[0021] S04: Apply the same analysis method to the historical settlement data of the foundation pit surface of multiple parabolic settlements as that of the historical settlement data of the foundation pit surface of multiple triangular settlements, that is, repeat S01 - S03, to obtain the span fluctuation interval WB corresponding to the parabolic settlement.

[0022] As a further solution of the present invention: The specific method for obtaining the complexity transformation intervals corresponding to triangular settlement and parabolic settlement respectively is as follows:

[0023] S11: Select the same historical data of triangular settlement as the analysis object in step S01 of the span fluctuation interval generation unit.

[0024] S12: According to the positioning point coordinates of the data, connect adjacent positioning points in a specific order to obtain the left positioning line and the right positioning line, and define the connection line of its adjacent points as the stage line. Calculate the left slope ZKr and the right slope RKr of each stage line through the calculation formula, and then calculate and obtain the discrete values ZU and RU corresponding to the left slope ZKr and the right slope RKr respectively. Finally, take the average of the two as the transformation complexity F1 of the analysis data.

[0025] S13: Repeat the above steps S11 - S12 to obtain the transformation complexities Fj corresponding to the historical settlement data of the foundation pit surface of each triangular settlement respectively.

[0026] Obtain the average value Fp of the transformation complexity Fj, and take the average value of the absolute values of the differences between each transformation complexity Fj and the average value Fp as the domain value D2. Obtain the complexity transformation interval GA corresponding to the triangular settlement according to the average value Fp and the domain value D2.

[0027] S14: Apply the same process to the historical settlement data of the foundation pit surface of multiple parabolic settlements to obtain the complexity transformation interval GB corresponding to the parabolic settlement.

[0028] As a further solution of the present invention: The specific method for determining the settlement type of the foundation pit ground surface to be evaluated is as follows:

[0029] Input the real-time monitoring data of the foundation pit ground surface to be evaluated into the preset monitoring model generation module. According to the method in the preset monitoring model generation module, generate the positioning point coordinates corresponding to each monitoring point in the two-dimensional coordinate system. Find the positioning points corresponding to the two monitoring points closest to both sides of the foundation pit calibration point Q, and calculate the differences △Z and △R between their settlement amounts and the settlement amount at the foundation pit calibration point Q respectively. Find the positioning points corresponding to the two monitoring points farthest from both sides of the foundation pit calibration point Q, and calculate the differences △Zmax and △Rmax between their settlement amounts and the settlement amount at the foundation pit calibration point Q respectively. If the ratio of △Zmax / △Z or △Rmax / △R is between 0.9 and 1.1, it is determined that the foundation pit ground surface to be evaluated is triangular settlement; otherwise, it is determined that the foundation pit ground surface to be evaluated is parabolic settlement.

[0030] As a further solution of the present invention: The specific method for generating a warning signal corresponding to a level is as follows:

[0031] Input the real-time monitoring data of the foundation pit ground surface to be evaluated into the settlement type determination module to determine the settlement type of the foundation pit ground surface to be evaluated. Then input the real-time monitoring data of the foundation pit ground surface to be evaluated into the settlement data analysis module. Obtain the to-be-evaluated settlement span APM corresponding to the foundation pit ground surface to be evaluated through the span fluctuation interval generation unit, and obtain the to-be-evaluated transformation complexity BPM corresponding to the foundation pit ground surface to be evaluated through the complexity transformation interval generation unit. Extract the span fluctuation interval and complexity transformation area corresponding to the corresponding type according to the settlement type of the foundation pit ground surface to be evaluated, and use them as the comparison span fluctuation interval and comparison complexity transformation area. Compare and analyze the to-be-evaluated settlement span APM and transformation complexity BPM corresponding to the foundation pit ground surface to be evaluated with the comparison span fluctuation interval and comparison complexity transformation interval respectively to generate a warning signal corresponding to a level.

[0032] As a further solution of the present invention: The specific method for comparing and analyzing the to-be-evaluated settlement span APM and transformation complexity BPM corresponding to the foundation pit ground surface to be evaluated with the comparison span fluctuation interval and comparison complexity transformation interval respectively is as follows:

[0033] When both the settlement span APM and the transformation complexity BPM corresponding to the foundation pit surface to be evaluated fall within the comparison span fluctuation range and the comparison complexity transformation range, no treatment is required. When only one of the settlement span APM and the transformation complexity BPM corresponding to the foundation pit surface to be evaluated falls within the corresponding range, a secondary warning signal is generated. When both the settlement span APM and the transformation complexity BPM corresponding to the foundation pit surface to be evaluated do not fall within the corresponding range, a primary warning signal is generated, and the warning level of the primary warning signal is higher than that of the secondary warning signal.

[0034] As a further solution of the present invention: The specific method for obtaining the span fluctuation range WA corresponding to the triangular settlement according to the mean value Jp and the domain value D1 is as follows:

[0035] Take the sum of the mean value Jp and the domain value D1 as the upper limit value of the span fluctuation range corresponding to the triangular settlement, and take the difference between the mean value Jp and the domain value D1 as the lower limit value of the span fluctuation range corresponding to the triangular settlement, so as to obtain the span fluctuation range WA[Jp - D1, Jp + D1] corresponding to the triangular settlement.

[0036] As a further solution of the present invention: The specific method for obtaining the complexity transformation range GA corresponding to the triangular settlement according to the mean value Fp and the domain value D2 is as follows;

[0037] Take the sum of the mean value Fp and the domain value D2 as the upper limit value of the complexity transformation range corresponding to the triangular settlement, and take the difference between the mean value Fp and the domain value D2 as the lower limit value of the complexity transformation range corresponding to the triangular settlement, so as to obtain the complexity transformation range GA corresponding to the triangular settlement.

[0038] Compared with the prior art, the beneficial effects of the present invention are:

[0039] (1) In the present invention, by analyzing the real-time monitoring data of the foundation pit surface, according to the settlement amount change of the foundation pit calibration point and the settlement amount difference from the center of the foundation pit, combined with the ratio of the two side monitoring points, the settlement type of the foundation pit surface can be effectively judged, providing a scientific basis for the deformation monitoring and risk assessment of the foundation pit, helping to early warn the deformation trend of the foundation pit, and realizing efficient, accurate and automatic monitoring;

[0040] (2) In the present invention, by determining the span fluctuation range and the complexity transformation range, according to the settlement type determination result and the real-time monitoring data, comparing the settlement span to be evaluated and the transformation complexity to be evaluated with the comparison range, quickly generating the warning signal of the corresponding level, avoiding only monitoring the deformation of the foundation pit while ignoring the change of the surface settlement shape of the foundation pit, further improving the monitoring accuracy of the foundation pit deformation, further ensuring the safety of the foundation pit construction, effectively reducing the risk of safety accidents caused by the foundation pit deformation, and guaranteeing the construction safety and the smooth progress of the project. Brief Description of the Drawings

[0041] Figure 1 It is a schematic diagram of the system framework structure of the present invention;

[0042] Figure 2 It is a schematic flowchart of generating a preset monitoring model of the present invention;

[0043] Figure 3 It is a schematic diagram of the two-dimensional coordinate system structure of the present invention. Detailed Description of the Invention

[0044] Next, the technical solutions of the present invention will be clearly and completely described in conjunction with the embodiments. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0045] Embodiment 1: Please refer to Figure 1 - Figure 3 , this application provides an automatic monitoring and risk assessment system for foundation pit deformation, including;

[0046] A preset monitoring model generation module, which sets monitoring points according to the center point position of the foundation pit, is used to monitor the surface of the foundation pit, and generates a preset monitoring model according to the center point position of the foundation pit and the set monitoring points, and then obtains the surface monitoring data of the foundation pit to realize the surface monitoring of the foundation pit. The specific method for generating the preset monitoring model is as follows:

[0047] S1: Obtain the center point position of the foundation pit and use it as the foundation pit calibration point Q;

[0048] S2: Draw a horizontal calibration line B perpendicular to the vertical direction of the foundation pit according to the foundation pit calibration point Q. Starting from the foundation pit calibration point Q along the horizontal calibration line B, set the same number of monitoring points on both sides of the foundation pit calibration point Q along the horizontal calibration line B. The distance intervals between different monitoring points on both sides of the foundation pit calibration point Q are the same, and the distance interval is Y1. Y1 is a preset value, and the specific value is set by relevant personnel according to actual needs. Here, Y1 = 0.68 meters;

[0049] S3: Taking the distance between each monitoring point and the foundation pit calibration point Q as the origin O(0, 0) along the foundation pit calibration point Q as the x-axis, and the ground settlement amount as the y-axis, draw a two-dimensional coordinate system, and plot the positioning points corresponding to each monitoring point in the two-dimensional coordinate system according to the monitoring data. At the same time, take them as the positioning points corresponding to each monitoring point respectively. Take the ground settlement amounts corresponding to different monitoring points on both sides of the foundation pit as the y-coordinates, and then obtain the positioning point coordinates corresponding to each positioning point in the coordinate system and output them, thereby generating a preset monitoring model;

[0050] Among them, mark the positioning point coordinates on the left side of the origin O(0, 0) in the two-dimensional coordinate system as Zn(ZXn, ZYn), and at the same time mark the positioning point coordinates on the right side of the origin O(0, 0) as Rn(RXn, RYn), and output them, where ZYn and RYn are the ground settlement amounts corresponding to different positioning points on both sides of the origin O(0, 0) respectively;

[0051] It should be noted that the ground settlement amount is obtained and recorded through a preset monitoring device. During the foundation pit deformation monitoring process, the commonly used device is a level. The level is used to accurately measure the ground settlement. In addition, using the level to monitor the ground settlement is an existing and mature technology, so no further elaboration is made here.

[0052] Among them, n represents different positioning points, n = 1, 2,..., a, where a represents the number of positioning points on both sides of the foundation pit calibration point Q. At the same time, a is a positive integer and a > 1;

[0053] Through the preset monitoring model generation module, monitoring points are set according to the center point of the foundation pit and a two-dimensional coordinate system is constructed, and data is obtained by cooperating with automated monitoring equipment, abandoning the cumbersome and inefficient traditional manual measurement. It not only greatly improves the monitoring frequency, but also ensures the accuracy and consistency of the data, reduces errors caused by human factors, and provides a solid and reliable data basis for subsequent analysis and decision-making.

[0054] The historical settlement data acquisition module is used to acquire the historical settlement data of the foundation pit ground from the database, including the historical settlement data for triangular settlement and parabolic settlement;

[0055] The settlement data analysis module acquires the historical settlement data of the foundation pit ground for multiple triangular settlements and parabolic settlements in the historical settlement data of the foundation pit ground of the same specification, and analyzes the triangular settlement and parabolic settlement respectively. According to the analysis results, the corresponding span fluctuation intervals and complexity transformation intervals for the triangular settlement and parabolic settlement are obtained. The specific method is as follows:

[0056] The historical settlement data analysis module includes a span fluctuation interval analysis generation and a complexity transformation interval generation unit;

[0057] A span fluctuation range generation unit is used to analyze the historical settlement data of the foundation pit surface with multiple triangular settlements and parabolic settlements, and obtain the span fluctuation ranges corresponding to the triangular settlements and parabolic settlements respectively according to the analysis results. The specific method is as follows:

[0058] S01: Randomly select one from the historical settlement data of the foundation pit surface with multiple triangular settlements without replacement as the analysis data;

[0059] S02: Import the analysis data into a preset monitoring model to obtain the positioning point coordinates Zn(ZXn, ZYn) and Rn(RXn, RYn) corresponding to each positioning point in the analysis data;

[0060] According to the origin O(0, 0) and the positioning point coordinates Zn(ZXn, ZYn) and Rn(RXn, RYn) corresponding to each positioning point, calculate the distances between each positioning point and the origin O(0, 0) through the distance formula, and mark them as the left span ZKn and the right span RKn respectively;

[0061] Calculate the standard deviation values CZ and CR of the left span ZKn and the right span RKn respectively through the standard deviation calculation formula, and take the mean of the standard deviation values CZ and CR as the settlement span J1 corresponding to the analysis data;

[0062] S03: Repeat the above steps S01 - S02 to obtain the settlement spans Jj corresponding to the historical settlement data of the foundation pit surface with each triangular settlement, where j represents the historical settlement data of the foundation pit surface with different triangular settlements;

[0063] Obtain the mean Jp of each settlement span Jj, and take the mean of the absolute values of the differences between each settlement span Jj and the mean Jp as the domain value D1;

[0064] Take the sum of the mean Jp and the domain value D1 as the upper limit value of the span fluctuation range corresponding to the triangular settlement, and take the difference between the mean Jp and the domain value D1 as the lower limit value of the span fluctuation range corresponding to the triangular settlement, so as to obtain the span fluctuation range WA[Jp - D1, Jp + D1] corresponding to the triangular settlement;

[0065] It should be noted that the distance formula is to calculate the distance between two coordinates, which is the Euclidean distance calculation formula. The calculation method of calculating the distance between two coordinates is an existing and mature technology, so it will not be elaborated here;

[0066] S04: Apply the same analysis method to the historical settlement data of the foundation pit surface with parabolic settlement as that of the historical settlement data of the foundation pit surface with triangular settlement, that is, repeat S01 - S03, and the span fluctuation interval WB corresponding to the parabolic settlement can be obtained;

[0067] The complexity transformation interval generation unit is used to analyze the historical settlement data of the foundation pit surface with multiple triangular settlements and parabolic settlements, and obtain the complexity transformation intervals corresponding to the triangular settlements and parabolic settlements respectively according to the analysis results. The specific method is as follows:

[0068] S11: Select the same historical data of the foundation pit surface with triangular settlement as in step S01 as the analysis data;

[0069] S12: Obtain the positioning point coordinates Zn(ZXn, ZYn) and Rn(RXn, RYn) corresponding to each positioning point in the analysis data obtained in step S02. For the positioning point coordinates Zn(ZXn, ZYn) located on the left side of the origin O(0, 0), starting from the origin O, connect the adjacent two positioning points in sequence from right to left to generate the left positioning line. Mark the connection line between each adjacent two positioning points as the stage line, and at the same time use the coordinates of the two positioning points that make up the connection line as the coordinates corresponding to the two endpoints on the stage line. Obtain the left slope ZKr corresponding to each stage line according to the coordinates of the two endpoints on each stage line, where r represents different stage lines, r = 1, 2,..., a - 1, r ≥ 2;

[0070] For the positioning point coordinates Rn(RXn, RYn) located on the left side of the origin O(0, 0), starting from the origin O, connect the adjacent two positioning points in sequence from left to right to generate the right positioning line. Mark the connection line between each adjacent two positioning points as the stage line, and at the same time use the coordinates of the two positioning points that make up the connection line as the coordinates corresponding to the two endpoints on the stage line. Obtain the right slope RKr corresponding to each stage line according to the coordinates of the two endpoints on each stage line;

[0071] It should be noted that when calculating the right slope RKr, the common slope calculation formula in mathematics is used, which is an existing and mature formula application. Therefore, no further elaboration is made here. It should be noted that during the calculation process, it is necessary to ensure the accuracy of the positioning point coordinates to avoid slope calculation deviation caused by measurement errors or data entry errors. Since the selection order of the positioning points is from left to right, it is required to strictly calculate the adjacent positioning points in this order, otherwise, the wrong slope change trend will be obtained.

[0072] Through the discrete value calculation formula, the discrete values ZU and RU corresponding to the right slope RKr of the left slope ZKr are calculated respectively, and then the average value of ZU and RU is used as the transformation complexity F1 corresponding to the analysis data;

[0073] The discrete value calculation formula is an existing and mature application formula, so no further elaboration will be made here;

[0074] S13: Repeat the above steps S11 - S12, and the transformation complexity Fj corresponding to the historical settlement data of the foundation pit surface of each triangular settlement can be obtained;

[0075] Obtain the average value Fp of the transformation complexity Fj, and use the average value of the absolute values of the differences between each transformation complexity Fj and the average value Fp as the domain value D2;

[0076] Take the sum of the average value Fp and the domain value D2 as the upper limit value of the complexity transformation interval corresponding to the triangular settlement, and take the difference between the average value Fp and the domain value D2 as the lower limit value of the complexity transformation interval corresponding to the triangular settlement, so as to obtain the complexity transformation interval GA[Fp - D2, Fp + D2] corresponding to the triangular settlement;

[0077] S14: Adopt the same analysis method for the historical settlement data of the foundation pit surface with multiple parabolic settlements as that for the historical settlement data of the foundation pit surface with multiple triangular settlements, that is, repeat S11 - S13, and the complexity transformation interval GB corresponding to the parabolic settlement can be obtained;

[0078] Through the settlement data analysis module, using the span fluctuation interval generation unit and the complexity transformation interval generation unit, the historical settlement data is deeply mined and analyzed. Through scientific calculation methods, the span fluctuation intervals and complexity transformation intervals corresponding to triangular settlements and parabolic settlements are obtained, providing a quantitative basis for accurately judging the settlement type and risk degree of the current foundation pit, making the risk assessment more scientific and accurate.

[0079] For the risk warning module, input the real-time monitoring data of the foundation pit surface to be evaluated into the settlement type determination module to determine the settlement type of the foundation pit surface to be evaluated, and then input the real-time monitoring data of the foundation pit surface to be evaluated into the settlement data analysis module. Through the span fluctuation interval generation unit, obtain the to-be-evaluated settlement span APM corresponding to the foundation pit surface to be evaluated, and through the complexity transformation interval generation unit, obtain the to-be-evaluated transformation complexity BPM corresponding to the foundation pit surface to be evaluated;

[0080] Extract the corresponding span fluctuation interval and complexity transformation area of the corresponding type according to the settlement type of the foundation pit surface to be evaluated, and use them as the comparison span fluctuation interval and the comparison complexity transformation area;

[0081] Compare the settlement span APM and transformation complexity BPM corresponding to the foundation pit surface to be evaluated with the comparison span fluctuation range and the comparison complexity transformation range respectively to generate warning signals of corresponding levels. The specific method is as follows:

[0082] When both the settlement span APM and the transformation complexity BPM corresponding to the foundation pit surface to be evaluated are within the comparison span fluctuation range and the comparison complexity transformation range, no treatment is required. When only one of the settlement span APM and the transformation complexity BPM corresponding to the foundation pit surface to be evaluated is within the corresponding range, a secondary warning signal is generated. When both the settlement span APM and the transformation complexity BPM corresponding to the foundation pit surface to be evaluated are not within the corresponding range, a primary warning signal is generated:

[0083] The warning level of the primary warning signal is higher than that of the secondary warning signal. Primary warning: When the settlement span and complexity exceed the normal range, it indicates that the deformation risk of the foundation pit is relatively large, and immediate measures need to be taken. Secondary warning: When only one settlement parameter exceeds the normal range, it indicates that the deformation risk of the foundation pit increases, and monitoring and treatment need to be strengthened;

[0084] Obtain historical settlement data including triangular settlement and parabolic settlement from the database through the historical settlement data acquisition module. The settlement data analysis module uses the span fluctuation range generation unit and the complexity transformation range generation unit to analyze these data. The span fluctuation range generation unit calculates the distance between the positioning point and the origin to obtain the settlement span, and then determines the span fluctuation range. The complexity transformation range generation unit calculates the slope of the connection line of the positioning points to obtain the transformation complexity, thereby determining the complexity transformation range. These interval data provide important reference criteria for risk assessment.

[0085] Through the risk warning module, according to the settlement type determination result and real-time monitoring data, compare the settlement span APM to be evaluated and the transformation complexity BPM to be evaluated with the comparison interval, and quickly generate warning signals of corresponding levels, avoiding only monitoring the depth of foundation pit deformation and ignoring the change of the settlement shape of the foundation pit, further improving the monitoring accuracy of foundation pit deformation, further ensuring the safety of foundation pit construction, effectively reducing the risk of safety accidents caused by foundation pit deformation, and ensuring construction safety and the smooth progress of the project.

[0086] Embodiment 2: As Embodiment 2 of the present invention, when the present application is specifically implemented, compared with Embodiment 1, the technical solution of this embodiment is only different from that of Embodiment 1 in that this embodiment further includes a settlement type determination module;

[0087] The settlement type determination module is used to determine the settlement type of the foundation pit surface to be evaluated according to the real-time monitoring data of the foundation pit surface to be evaluated. The settlement types of the foundation pit surface include triangular settlement and parabolic settlement. The specific determination method is as follows:

[0088] Input the real-time monitoring data of the foundation pit surface to be evaluated into the preset monitoring model generation module. According to the method in the preset monitoring model generation module, generate the positioning point coordinates corresponding to each monitoring point in the two-dimensional coordinate system, and mark them as Zn(ZXn, ZYn) and Rn(RXn, RYn) respectively;

[0089] Find the positioning points corresponding to the two monitoring points closest to both sides of the foundation pit calibration point Q, and calculate the differences △Z and △R between them and the settlement amount at the foundation pit calibration point Q respectively. Find the positioning points corresponding to the two monitoring points farthest from both sides of the foundation pit calibration point Q, and calculate the differences △Zmax and △Rmax between them and the settlement amount at the foundation pit calibration point Q respectively;

[0090] If the ratio of △Zmax / △Z or △Rmax / △R is between 0.9 - 1.1, it is determined that the foundation pit surface to be evaluated is triangular settlement; otherwise, it is determined that the foundation pit surface to be evaluated is parabolic settlement;

[0091] If the ratio is between 0.9 - 1.1: it means that from the center of the foundation pit to the edge, the change in settlement amount shows an approximately linear and symmetric trend on both sides. At this time, it is determined that the foundation pit surface is triangular settlement; if the ratio is not between 0.9 - 1.1: it means that the change trend of the settlement amount is non-linear, or the settlement amount changes asymmetrically on both sides. At this time, it is determined that the foundation pit surface is parabolic settlement.

[0092] By analyzing the real-time monitoring data of the foundation pit surface, according to the change in the settlement amount of the foundation pit calibration point and the difference in the settlement amount from the center of the foundation pit, combined with the ratio of the monitoring points on both sides, the settlement type of the foundation pit surface can be effectively judged, providing a scientific basis for the deformation monitoring and risk assessment of the foundation pit, helping to early warn the deformation trend of the foundation pit, and realizing efficient and accurate automatic monitoring.

[0093] Example 3: As the third example of the present invention, when the present application is specifically implemented, compared with Example 1 and Example 2, the technical solution of this example lies in combining the solutions of the above Example 1 and Example 2 for implementation.

[0094] The above formulas are all dimensionless and take their numerical values for calculation. The formulas are obtained by collecting a large amount of data for software simulation to obtain a formula closest to the real situation. The preset parameters and threshold selection in the formulas are set by those skilled in the art according to the actual situation.

[0095] As described above, it is only the specific implementation manner of the present application. However, the protection scope of the present application is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present application can easily think of changes or substitutions, which should all be covered within the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims described above.

Claims

1. A foundation pit deformation automatic monitoring and risk assessment system, characterized in that: include: A preset monitoring model generation module is used to set monitoring points according to the center point of the foundation pit, generate a preset monitoring model and obtain surface monitoring data of the foundation pit; A historical settlement data acquisition module is used to acquire historical settlement data of the foundation pit surface; The settlement data analysis module is used to analyze the historical settlement data and obtain the span fluctuation range and complexity transformation range corresponding to the triangular settlement and parabolic settlement respectively; A settlement type determination module is used to determine the settlement type of the foundation pit surface to be evaluated based on real-time monitoring data of the foundation pit surface to be evaluated; The risk warning module is used to generate warning signals of corresponding levels based on the settlement type of the foundation pit surface to be assessed and the real-time monitoring data.

2. The automatic monitoring and risk assessment system for foundation pit deformation according to claim 1 is characterized in that: The specific method of generating a preset monitoring model is: The center point of the foundation pit is obtained as the foundation pit calibration point Q. A horizontal calibration line B perpendicular to the vertical direction of the foundation pit is drawn at the center point Q of the foundation pit. Equally spaced monitoring points are set on both sides of the foundation pit calibration point Q. A two-dimensional coordinate system is established with the foundation pit calibration point Q as the origin. Positioning points are drawn according to the monitoring data and the coordinates are output to generate a preset monitoring model.

3. The automatic monitoring and risk assessment system for foundation pit deformation according to claim 2 is characterized in that: The specific method of establishing a two-dimensional coordinate system with the foundation pit calibration point Q as the origin is: With the calibration point Q along the foundation pit as the origin O, the distance between each monitoring point and the calibration point Q of the foundation pit as the horizontal axis, and the surface settlement as the vertical axis to draw a two-dimensional coordinate system, and draw the positioning points corresponding to each monitoring point in the two-dimensional coordinate system according to the monitoring data. At the same time, the surface settlement corresponding to different monitoring points on both sides of the foundation pit are used as the vertical coordinate as the positioning points corresponding to each monitoring point, and then the positioning point coordinates corresponding to each positioning point in the coordinate system are obtained and output.

4. The automatic monitoring and risk assessment system for foundation pit deformation according to claim 2 is characterized in that: The specific method of obtaining the span fluctuation range corresponding to the triangular settlement and parabolic settlement is: S01: Randomly select one of the historical surface settlement data of multiple triangular settlement foundation pits without replacement as the analysis data; S02: Import the analysis data into the preset monitoring model, obtain the coordinates of each positioning point, calculate the distance between each positioning point and the origin by the Euclidean distance formula, and obtain the left span ZKn and the right span RKn respectively. Then use the standard deviation calculation formula to obtain their standard deviation values ​​CZ and CR, and take the average of the two as the settlement span J1 corresponding to the analysis data; S03: Repeat the above steps S01-S02 to obtain the settlement spans Jj corresponding to the historical settlement data of the foundation pit surface of each triangular settlement, obtain the mean value Jp of each settlement span Jj, and take the mean of the absolute values ​​of the differences between each settlement span Jj and the mean value Jp as the domain value D1; obtain the span fluctuation range WA corresponding to the triangular settlement according to the mean value Jp and the domain value D1; Where j refers to the historical settlement data of the foundation pit surface with different triangular settlements; S04: The same analysis method is adopted for the historical surface settlement data of foundation pits with multiple parabolic settlements as for the historical surface settlement data of foundation pits with multiple triangular settlements, that is, S01-S03 are repeated to obtain the span fluctuation range WB corresponding to the parabolic settlement.

5. The automatic monitoring and risk assessment system for foundation pit deformation according to claim 4 is characterized in that: The specific method of obtaining the complexity transformation interval corresponding to triangular sedimentation and parabolic sedimentation is: S11: Select the same triangular settlement history data as in the span fluctuation interval generation unit step S01 as the analysis object; S12: According to the coordinates of the positioning points of the data, the adjacent positioning points are connected in a specific order to obtain the left positioning line and the right positioning line, and the connecting line of the adjacent points is defined as the stage line. The calculation formula calculates the left slope ZKr and the right slope RKr of each stage line, and then calculates the discrete values ​​ZU and RU corresponding to the left slope ZKr and the right slope RKr respectively. Finally, the average of the two is taken as the transformation complexity F1 of the analysis data; S13: Repeat the above steps S11-S12 to obtain the transformation complexity Fj corresponding to the historical surface settlement data of each triangular settlement foundation pit; Obtain the mean value Fp of the transformation complexity Fj, and take the mean of the absolute values ​​of the differences between each transformation complexity Fj and the mean value Fp as the domain value D2; obtain the complexity transformation interval GA corresponding to the triangular settlement according to the mean value Fp and the domain value D2; S14: The same process is used to apply the historical surface settlement data of multiple foundation pits with parabolic settlements to obtain the complexity transformation interval GB corresponding to the parabolic settlements.

6. The automatic monitoring and risk assessment system for foundation pit deformation according to claim 5 is characterized in that: The specific method for determining the type of settlement of the foundation pit surface to be evaluated is: The real-time monitoring data of the foundation pit surface to be evaluated is input into the preset monitoring model generation module. According to the method in the preset monitoring model generation module, the coordinates of the positioning points corresponding to each monitoring point are generated in the two-dimensional coordinate system. The positioning points corresponding to the two monitoring points closest to the foundation pit calibration point Q on both sides are found, and the differences △Z and △R between them and the settlement at the foundation pit calibration point Q are calculated respectively. The positioning points corresponding to the two monitoring points farthest from the foundation pit calibration point Q on both sides are found, and the differences △Zmax and △Rmax between them and the settlement at the foundation pit calibration point Q are calculated respectively. If the ratio of △Zmax / △Z or △Rmax / △R is between 0.9-1.1, the surface of the foundation pit to be evaluated is determined to have a triangular settlement; otherwise, the surface of the foundation pit to be evaluated is determined to have a parabolic settlement.

7. The automatic monitoring and risk assessment system for foundation pit deformation according to claim 6 is characterized in that: The specific method of generating the corresponding level of warning signal is: The real-time monitoring data of the foundation pit surface to be evaluated is input into the settlement type determination module to determine the settlement type of the foundation pit surface to be evaluated, and then the real-time monitoring data of the foundation pit surface to be evaluated is input into the settlement data analysis module, and the settlement span APM to be evaluated corresponding to the foundation pit surface to be evaluated is obtained through the span fluctuation interval generation unit, and the transformation complexity BPM to be evaluated corresponding to the foundation pit surface to be evaluated is obtained through the complexity transformation interval generation unit. According to the settlement type corresponding to the foundation pit surface to be evaluated, the span fluctuation interval and complexity transformation area of ​​the corresponding type are extracted, and used as the comparison span fluctuation interval and comparison complexity transformation area, and the settlement span APM to be evaluated and the transformation complexity BPM corresponding to the foundation pit surface to be evaluated are compared and analyzed with the comparison span fluctuation interval and comparison complexity transformation interval respectively, to generate a warning signal of the corresponding level.

8. The automatic monitoring and risk assessment system for foundation pit deformation according to claim 7 is characterized in that: The specific method of comparing and analyzing the settlement span APM and transformation complexity BPM corresponding to the foundation pit surface to be evaluated with the comparison span fluctuation range and comparison complexity transformation range is as follows: When the settlement span APM and transformation complexity BPM corresponding to the foundation pit surface to be evaluated belong to the comparison span fluctuation range and the comparison complexity transformation range, no processing is performed. When only one of the settlement span APM and transformation complexity BPM corresponding to the foundation pit surface to be evaluated belongs to the corresponding range, a second-level warning signal is generated. When the settlement span APM and transformation complexity BPM corresponding to the foundation pit surface to be evaluated do not belong to the corresponding range, a first-level warning signal is generated. The warning level of the first-level warning signal is higher than that of the second-level warning signal.

9. The automatic monitoring and risk assessment system for foundation pit deformation according to claim 4 is characterized in that: The specific method of obtaining the span fluctuation range WA corresponding to the triangular settlement according to the mean value Jp and the domain value D1 is: The sum of the mean Jp and the domain value D1 is taken as the upper limit value of the span fluctuation range corresponding to the triangular settlement, and the difference between the mean Jp and the domain value D1 is taken as the lower limit value of the span fluctuation range corresponding to the triangular settlement, thereby obtaining the span fluctuation range WA[Jp-D1, Jp+D1] corresponding to the triangular settlement.

10. The automatic monitoring and risk assessment system for foundation pit deformation according to claim 5, characterized in that: The specific method of obtaining the complexity transformation interval GA corresponding to the triangular settlement according to the mean value Fp and the domain value D2 is as follows; The sum of the mean Fp and the domain value D2 is taken as the upper limit of the complexity transformation interval corresponding to the triangular settlement, and the difference between the mean Fp and the domain value D2 is taken as the lower limit of the complexity transformation interval corresponding to the triangular settlement, thereby obtaining the complexity transformation interval GA corresponding to the triangular settlement.

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