Automatic monitoring device and method for inclination and strain of river channel steel sheet pile cofferdam

Abstract

The invention discloses an automatic monitoring device and method for inclination and strain of a river channel steel sheet pile cofferdam. The automatic monitoring device comprises an automatic collecting device, a plurality of first measuring devices used for measuring inclination angles and a plurality of second measuring devices used for measuring strain. A plurality of first measuring points are sequentially arranged on the outer side wall of the steel sheet pile from bottom to top, the height from the uppermost first measuring point to the top of the steel sheet pile is known, and the lowermost first measuring point is located at the bottom of the steel sheet pile; second measuring points in one-to-one correspondence with the height positions of the first measuring points are arranged on the inner side wall of the steel sheet pile; the first measuring devices are correspondingly arranged on the first measuring points, and the second measuring devices are correspondingly arranged on the second measuring points; the automatic collecting device is arranged on the steel sheet pile cofferdam and electrically connected with all the first measuring devices and all the second measuring devices. According to the invention, the monitoring cost can be reduced, the monitoring efficiency is improved, the credibility of data is quickly judged, and the observation reliability is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of construction monitoring, in particular to a device and method for automatically monitoring the inclination and strain of a steel sheet pile cofferdam in a river. BACKGROUND

[0002] In large river salvage operations, a steel sheet pile cofferdam is often built in the river, and the water in the cofferdam is then pumped out to carry out salvage operations. During the construction of the cofferdam and the salvage operation, there are multiple risks such as large fluctuations in river water level, insufficient foundation bearing capacity, and seepage erosion, which may cause the cofferdam structure to lose stability and even collapse. In order to ensure the safety of the cofferdam construction and salvage operation, the displacement and stress strain of the cofferdam steel sheet pile must be monitored.

[0003] In conventional cofferdam monitoring, there are mainly two methods for monitoring the inclination of the steel sheet pile: one is to measure the inclination of the steel sheet pile by drilling and embedding a lateral tube in the soil behind the steel sheet pile. This method cannot directly measure the inclination of the steel sheet pile and cannot achieve automatic measurement, and the measurement frequency is low. The second method is to install a prism on the top of the steel sheet pile and monitor the displacement of the pile top by a total station instrument arranged outside the cofferdam, and then calculate the inclination of the steel sheet pile. This method has several limitations in practical application: multiple high-precision total station instruments are required for intersection measurement to ensure data accuracy, resulting in high cost; the data obtained is limited to the surface deformation of the pile body and cannot reflect the internal state. In addition, the line of sight between the total station instrument and the prism must be maintained during the measurement process, which is often difficult to achieve in complex construction sites, limiting the applicability and reliability of the method.

[0004] However, the existing installation method has systematic limitations: the separate arrangement of the inclination and stress measurement devices makes it difficult to synchronize data collection. In subsequent analysis, due to the inability to establish a clear correlation between the two types of data, the interpretation and handling of abnormal phenomena often rely on project experience, making the analysis conclusions lack solid data support and increasing the risk of engineering decisions. SUMMARY

[0005] In view of the above-mentioned shortcomings of the prior art, the present application solves the technical problem of providing an automatic monitoring device for the inclination and strain of a steel sheet pile cofferdam in a river, which replaces traditional manual monitoring and improves monitoring efficiency.

[0006] Another aspect of the present application solves the technical problem of providing a method for monitoring the inclination and strain of a steel sheet pile cofferdam in a river, which verifies the reliability of the measurement data by displacement monitoring and strain monitoring, and improves the observation reliability.

[0007] The application discloses a kind of riverway steel sheet pile cofferdam inclination and strain automatic monitoring device, including automatic acquisition device, multiple first measuring devices and multiple second measuring devices;First measuring point is sequentially provided on the outer side wall of steel sheet pile from bottom to top, and the first measuring point in the lowermost part is located at the bottom of steel sheet pile;Second measuring point is provided on the inner side wall of steel sheet pile, and each first measuring point height position is one-to-one corresponding;Each first measuring device is correspondingly arranged on the first measuring point, for measuring the inclination value of corresponding first measuring point at different time;Each second measuring device is correspondingly arranged on the second measuring point, for measuring the strain value at corresponding second measuring point at different time;The automatic acquisition device is arranged on steel sheet pile cofferdam and is electrically connected with all first measuring devices and second measuring devices, to obtain the measurement data of first measuring device and second measuring device in real time, and then the inclination and deformation condition of steel sheet pile at different depths are monitored in real time.

[0008] Preferably, the first measuring device and the second measuring device are each covered by an independent protective cover, and the protective cover is fixedly connected with the steel sheet pile.

[0009] Preferably, the inner and outer sides of the steel sheet pile are each provided with a protective plate, and the protective plate is fixedly connected with the steel sheet pile to form an accommodation space capable of accommodating the protective cover.

[0010] The application further discloses a method for abnormity judgment of the data collected by the automatic monitoring device according to any one of the above embodiments, and the method comprises the following steps:

[0011] S100, based on the real-time inclination value of the first measuring point measured by each first measuring device, the theoretical strain of each first measuring point at each time is calculated.

[0012] S200, the theoretical strain of the first measuring point is compared with the measured strain of the second measuring point at the corresponding height and time, and the relative difference between the two is calculated.

[0013] When the relative difference is not greater than the first preset threshold, the automatic acquisition device determines that the measurement data of the first measuring device and the second measuring device at the height and time is reliable.

[0014] When the relative difference is greater than the first preset threshold, the automatic acquisition device determines that the measurement data of the first measuring device and / or the second measuring device at the height and time is abnormal; the height with abnormal measurement data is defined as the target height, and the time with abnormal measurement data is defined as the target time.

[0015] Preferably, the automatic acquisition device further judges the measurement data of the second measuring device at the target height, and the judgment method comprises:

[0016] S300, fitting the strain variation curve of the second measuring device according to the measured strain values of the second measuring device at different time points at the target height;

[0017] When there is an isolated point that obviously deviates from the strain variation curve, it is directly determined that the measurement data of the second measuring device at the target height and the target time is an abnormal value.

[0018] When there is no significant abnormality in the strain variation curve, further abnormal data judgment is performed.

[0019] Preferably, when there is no significant abnormality in the strain variation curve, the further abnormal data judgment method comprises:

[0020] S400, determining a second measuring section including three consecutive second measuring points on the steel sheet pile, and one of the second measuring points in the second measuring section is located at the target height; obtaining the strain values of the upper, middle and lower second measuring points at the target time, and calculating the average strain values of the upper and lower second measuring points; and calculating the second relative deviation value of the average strain value and the strain value of the middle second measuring point.

[0021] When the second relative deviation value is not greater than the second preset threshold value, it is determined that the strain value measured by the second measuring point at the target time and the target height is abnormal.

[0022] When the second relative deviation value is less than the second preset threshold value, it is determined that the strain value measured by the second measuring point at the target time and the target height is normal.

[0023] Preferably, the automatic acquisition device further judges the measurement data of the first measuring device at the target height, and the judgment method comprises:

[0024] S500, calculating the horizontal offset of the first measuring point at the target height at different time points according to the change of the real-time inclination value of the first measuring point at the target height compared with the initial inclination value.

[0025] S600, fitting the horizontal offset variation curve of the first measuring device according to the horizontal offset of the first measuring point at the target height at different time points.

[0026] When there is an isolated point that obviously deviates from the horizontal offset variation curve, it is directly determined that the measurement data of the first measuring point at the target height is an abnormal value.

[0027] When there is no significant abnormality in the horizontal offset variation curve, further abnormal data judgment is performed.

[0028] Preferably, when there is no significant abnormality in the horizontal offset variation curve, the further abnormal data judgment method comprises:

[0029] S700, determining a first measuring section comprising three first measuring points in succession on the steel sheet pile, and one of the first measuring points in the first measuring section is located at a target height; obtaining horizontal displacement of the upper, middle and lower first measuring points on the first measuring section at a target time, and calculating the average of the horizontal displacement of the upper first measuring point and the lower first measuring point; calculating the first relative deviation value of the horizontal displacement and the horizontal displacement of the middle first measuring point;

[0030] When the second deviation value is not greater than the second preset threshold value, it is determined that the horizontal displacement measured by the first measuring point at the target time and the target height is abnormal;

[0031] When the second deviation value is less than the second preset threshold value, it is determined that the horizontal displacement measured by the first measuring point at the target time and the target height is normal.

[0032] As described above, the present application relates to a kind of river steel sheet pile cofferdam inclination and strain automatic monitoring device and method, compared with prior art has the following beneficial effects:

[0033] The present application obtains the initial inclination value of the first measuring device at different heights on the steel sheet pile, and then collects the real-time inclination value of all first measuring devices and the real-time strain value of all second measuring devices according to the frequency, and transmits the above data from the first measuring device and the second measuring device to the automatic acquisition device for analysis and processing. Since each first measuring point corresponds to a second measuring point, both are at the same height, according to the change of the real-time inclination value of each first measuring point compared with the initial inclination value, the horizontal displacement of the steel sheet pile along the depth direction is calculated by starting from the bottom of the steel sheet pile and gradually adding up. Based on the real-time inclination value and the initial inclination value measured by adjacent first measuring points, the theoretical strain of each first measuring point at a specified time is calculated. The theoretical strain of the first measuring point at the same height and the same time is compared with the measured strain of the second measuring point, and the relative difference percentage of the two is calculated. Whether there is an abnormality is determined by comparing the percentage with the preset threshold value, and finally the abnormal data source is determined and excluded. The present application replaces the traditional manual monitoring by automatic monitoring, reduces the monitoring cost, and improves the monitoring efficiency; the displacement monitoring and strain monitoring are verified with each other, the credibility of the data is quickly judged, and the observation reliability is improved; real-time, continuous, efficient and multi-dimensional monitoring of the displacement and strain of the river steel sheet pile can be realized, which provides protection for the safe operation of the project. BRIEF DESCRIPTION OF DRAWINGS

[0034] Figure 1 The assembly schematic diagram of the river steel sheet pile cofferdam inclination and strain automatic monitoring device provided by the embodiment of the present application is shown.

[0035] Figure 2A cross-sectional view of the automatic monitoring device for inclination and strain of a river steel sheet pile cofferdam provided by the embodiment of the present application.

[0036] Figure 3 For Figure 2 A cross-sectional view at A-A.

[0037] Figure 4 For Figure 2 A cross-sectional view at B-B.

[0038] Figure 5 A front view of the protective plate provided by the embodiment of the present application.

[0039] Figure 6 A top view of the protective plate provided by the embodiment of the present application.

[0040] Explanation of reference signs:

[0041] 100, automatic acquisition device; 200, first measuring device; 300, second measuring device; 400, steel sheet pile; 500, protective cover; 600, protective plate; 610, protective plate body; 620, first connecting part; 630, second connecting part. DETAILED DESCRIPTION

[0042] The embodiments of the present application are described below by specific specific embodiments, and those skilled in the art can easily understand other advantages and effects of the present application from the content disclosed in the specification.

[0043] It should be understood that the structures, proportions, sizes, etc. shown in the drawings attached to the specification are only used to understand and read the content disclosed in the specification by those skilled in the art, and are not used to limit the defined conditions under which the present application can be implemented, so they do not have technical significance. Any modification of the structure, change of the proportion relationship or adjustment of the size, without affecting the effects that can be produced by the present application and the purposes that can be achieved, should still fall within the scope of the technical content disclosed by the present application. At the same time, the terms such as "upper", "lower", "left", "right", "middle" and the like in the specification are only for the purpose of clear understanding of the description, and are not used to limit the scope of the present application that can be implemented, the change or adjustment of the relative relationship, without substantial change of the technical content, is also regarded as the scope of the present application that can be implemented.

[0044] As Figures 1 to 4As shown, an embodiment of the automatic monitoring device for inclination and strain of a river steel sheet pile cofferdam comprises an automatic acquisition device 100, a plurality of first measuring devices 200 for measuring inclination, and a plurality of second measuring devices 300 for measuring strain. The outer side wall of the steel sheet pile 400 is provided with n first measuring points from bottom to top, and the height of the uppermost first measuring point from the top of the steel sheet pile is known. The lowermost first measuring point is located at the bottom of the exposed part of the steel sheet pile. Each first measuring point is at a different depth, and the spacing between adjacent first measuring points includes but is not limited to a constant value. The spacing can be determined by a person skilled in the art according to the specific working conditions on site, and the weak points of the steel sheet pile structure can be accurately positioned. The inner side wall of the steel sheet pile 400 is provided with second measuring points corresponding to the height positions of the first measuring points. Each first measuring device 200 is arranged on the first measuring point, for measuring the inclination value of the corresponding first measuring point at different times. Each second measuring device 300 is arranged on the second measuring point, for measuring the strain value of the corresponding second measuring point at different times, so as to synchronously measure the real-time inclination value and strain value of the measuring points at the same height, and improve the calculation accuracy in the later stage. In addition, the stress can be calculated reversely through the strain value. The automatic acquisition device 100 is arranged on the steel sheet pile cofferdam, and in this embodiment, the top of the steel sheet pile cofferdam is preferred. The automatic acquisition device 100 is electrically connected with all the first measuring devices 200 and the second measuring devices 300, so as to synchronously acquire the measurement data of the first measuring devices 200 and the second measuring devices 300 in real time, and further monitor the inclination and deformation of the steel sheet pile at different depths in real time. In this embodiment, the first measuring device 200 is preferably an inclinometer, and the second measuring device 300 is preferably a strain gauge.

[0045] It should be noted that the lowermost first measuring point is located at the lowest part of the exposed part of the steel sheet pile.

[0046] During installation, first, the second measuring device is installed on the concave surface of the steel sheet pile, and the cable is fixed to a position 0.5 m away from the top of the steel sheet pile. After the concave surface is installed, the steel sheet pile is reversed, the first measuring device is installed on the convex surface, and the cable is also fixed to a position 0.5 m away from the top of the steel sheet pile. After the first measuring device 200 and the second measuring device 300 are installed, the steel sheet pile is driven into the river, and after the steel sheet pile is installed, the cable is connected to the automatic acquisition device 100, network debugging is performed, and the initial value of the first measuring device is recorded. After the equipment debugging is completed, continuous timing monitoring is started, and the inclination value and strain value at each time are recorded in real time.

[0047] It should be noted that the first measuring device 200, the second measuring device 300 and the automatic acquisition device 100 constitute a monitoring system in the embodiment, the inclination value obtained by the first measuring device 200 and the strain value obtained by the second measuring device 300 are transmitted to the monitoring system for analysis and judgment, the abnormal data source is automatically determined, and the abnormal data is excluded. Compared with the traditional monitoring method, the embodiment can effectively reduce the monitoring cost, realize 24-hour continuous monitoring, and is especially suitable for severe weather environment, and effectively improves the monitoring efficiency. In the monitoring process, stress concentration may be caused by external load or structural deformation. If the strain of a certain measuring point suddenly increases, it can be deduced that the stress of the measuring point suddenly increases, but the displacement of the measuring point does not change, which may be a local load increase. If the strain and displacement increase synchronously, it indicates that the steel sheet pile has a risk of overall instability. The load type can be distinguished by displacement data to avoid misjudgment.

[0048] In an embodiment, as shown in Figures 2 to 3 The first measuring device 200 and the second measuring device 300 are each covered by an independent protective cover 500, and the fixed connection mode between the protective cover 500 and the steel sheet pile 400 includes but is not limited to welding. When the steel sheet pile 400 is driven, the first measuring device 200, the second measuring device 300 and the cable are prevented from being damaged, and the damage rate of equipment installation is effectively reduced.

[0049] In an embodiment, as shown in Figure 2 The inner and outer sides of the steel sheet pile 400 are each provided with a protective plate 600, and the fixed connection mode between the protective plate 600 and the steel sheet pile 400 includes but is not limited to welding, so as to form an accommodation space capable of accommodating the protective cover 500, so as to protect the cable in the accommodation space and the first measuring device 200 and the second measuring device 300 in the protective cover 500.

[0050] Further, the protective plate 600 includes a protective plate body 610, a first connecting portion 620 and a second connecting portion 630. The first connecting portion is arranged at one end of the protective plate body 610, and the second connecting portion 630 is arranged at the other end of the protective plate body 620. During installation, the first connecting portion 620 and the second connecting portion 630 need to be folded downward, and then the first connecting portion 620 and the second connecting portion 630 are welded with the protective plate body 610. At the same time, the protective plate body 610 is welded on the inner side and the outer side of the steel sheet pile 400, so as to better protect the cable, the first measuring device 200 and the second measuring device 300.

[0051] A method for abnormity judgment of the data collected by the automatic monitoring device according to any one of the above embodiments, the method comprising the following steps:

[0052] S100: The real-time tilt angle value at the first measuring point is measured by each first measuring device 200, and the theoretical strain at the first measuring point of each first measuring device 200 at each time point is calculated. .

[0053] Theoretical strain at the first measuring point of each first measuring device 200 at each time point The calculation formula is formula (1):

[0054] Formula (1)

[0055] In the formula:

[0056] -At time t, the theoretical surface strain at the first measuring point where the first measuring device is located (i.e., the strain calculated based on the inclinometer data);

[0057] —First measuring device exist The angle between the axis and the vertical line measured at any time;

[0058] —First measuring device exist The angle between the axis and the vertical line measured at any time;

[0059] c - Sheet pile thickness;

[0060] —First measuring device With the first measuring device The height between them.

[0061] It should be noted that sheet piles can be considered as being composed of several beams, with each beam consisting of the main body of sheet piles between two adjacent first measuring points. For the bending of the beam, the maximum surface strain... Formula (2), where y is the distance from the neutral axis to the surface. Similarly, the distance between two adjacent first measuring points is the arc length L, and the angles measured by the two first measuring devices are respectively... and angular change Formula (3). Curvature κ is defined as the change in angle per unit arc length, therefore Formula (4). For sheet piles, the maximum surface strain occurs at the outermost fiber, so y is half the thickness of the sheet pile, i.e. Formula (5), where c is the thickness of the sheet pile; combining formulas (2) to (5) yields formula (1).

[0062] In practice, under stable initial conditions, the initial inclination angle value at the first measuring point is obtained using the first measuring device 200. During this process, technicians need to record the height of each first and / or second measuring point. In this implementation, each second measuring point corresponds one-to-one with the height of the first measuring point; therefore, it is only necessary to record the height of the adjacent first measuring point from the bottom of the sheet pile or the height of the uppermost first measuring point from the top of the sheet pile, thereby reducing the measurement workload.

[0063] During the monitoring period, real-time tilt angle values ​​of all first measuring devices 200 and real-time strain values ​​of all second measuring devices 300 are synchronously collected at a set frequency, and the data is transmitted to the automated acquisition device. This can be understood as the first measuring devices 200 and second measuring devices 300 synchronously transmitting their actual measurement data at various times to the automated acquisition device during the monitoring period. In this embodiment, the monitoring period is preferably 24 hours, which can reduce manpower input, especially in severe weather conditions.

[0064] S200. The theoretical strain of the first measuring point is compared with the measured strain of the second measuring point at the corresponding height and time. The relative difference between the two is calculated using formula (6).

[0065] Relative difference = Formula (6)

[0066] In the formula:

[0067] —First measuring point Theoretical dependent variable;

[0068] —The second measuring point at the same height as the first measuring point i Actual dependent variable.

[0069] When the percentage of the relative difference is less than or equal to the first preset threshold, the automated acquisition device determines that the measurement data of the first measuring device 200 and the second measuring device 300 at the same height at that moment are reliable.

[0070] When the percentage of the relative difference is greater than the first preset threshold, the automated acquisition device 100 determines that the measurement data of the first measuring device 200 and / or the second measuring device 300 at the same height at that moment are abnormal.

[0071] In practical applications, the deviation between theoretical and actual strain at the same height is usually small. However, a significant difference indicates anomalies in the actual strain and / or the actual inclination angle used to calculate the theoretical strain. These anomalies may be caused by sensor malfunction, sensor installation issues, or abnormal local deformation of the sheet pile. Therefore, by comparing the theoretical and measured strain at the same height and time, the inclination angle and strain values ​​measured at the same height can be cross-validated to determine if there are any anomalies in the measurement data at that height. In this embodiment, the height where abnormal measurement data exists is defined as the target height, and the time when abnormal measurement data exists is defined as the target time.

[0072] In a preferred embodiment, the first preset threshold can be 30%.

[0073] (I): Judgment of anomalies in strain data at target altitude

[0074] The automated data acquisition device 100 further analyzes the measurement data from the second measuring device 300 at the target height. This analysis includes the following methods:

[0075] S300. Based on the measured strain of the second measuring device at different times at the target height, fit the corresponding strain change curve of the second measuring device, that is, the strain change curve over time.

[0076] If there are significant outliers in the dependent variable curve, the measurement data of the second measuring device 300 at the target height and target time are directly determined to be outliers. Specifically, in the process of plotting the curve, this embodiment uses spline interpolation to fit the measured dependent variables at different times at the target height. By judging the rate of change of the second derivative of the fitted curve, if there is a point in the curve where the rate of change of the second derivative is significantly greater than the adjacent rate of change, it indicates that there is an outlier in the curve, and the measured dependent variable at that time is directly determined to be an outlier.

[0077] If the curve of the dependent variable does not show significant abnormalities, further abnormal data identification should be performed.

[0078] It should be noted that when plotting the curve of the dependent variable over time, the automated data acquisition device can use statistical methods (such as moving average and residual analysis) to identify outliers, rather than relying solely on visual judgment.

[0079] When the dependent variable curve shows no significant anomalies, methods for identifying abnormal data include:

[0080] S400. Determine a second measuring segment on the sheet pile, including three consecutive second measuring points, with one of the second measuring points in the second measuring segment located at the target height. Obtain the strain values ​​of the upper, middle, and lower second measuring points of the second measuring segment at the target time, and calculate the average strain between the upper and lower second measuring points; calculate the second relative deviation between the average strain and the strain value at the middle second measuring point.

[0081] Specifically, the strain value at the second measuring point in the middle of the second measuring section is... The strain value at the second measuring point above the second measuring section is The strain value at the second measuring point below the second measuring section is .

[0082] Strain anomaly judgment:

[0083] Second relative deviation value = Formula (7)

[0084] In the formula:

[0085] The second measuring point above the second measuring section ( At the target time The strain value;

[0086] Second measuring point in the middle of the second measuring section ( At the target time The value of the dependent variable;

[0087] : Second measuring point below the second measuring section ( At the target time The strain value.

[0088] Among them, the second measuring point at the bottom of the sheet pile Set it to 0.

[0089] When the second relative deviation value is not greater than the second preset threshold, the strain value measured by the two measuring points at the target time and target height is determined to be abnormal; when the second relative deviation value is less than the second preset threshold, the strain value measured by the second measuring point at the target time and target height is determined to be normal. In this embodiment, the second preset threshold is preferably 30%.

[0090] (II): Judgment of anomalies in tilt angle data at target height

[0091] The automated data acquisition device further analyzes the measurement data from the first measuring device at the target height. The analysis methods include:

[0092] S500. Based on the change in the actual tilt angle of the first measuring point at the target height compared to the initial tilt angle, calculate the horizontal offset of the first measuring point at different times at the target height, i.e., calculated by the automated data acquisition device 100. Horizontal offset of the first measuring point at the target height at any given time The specific calculation formula is as follows:

[0093] Formula (8)

[0094] In the formula:

[0095] : The first measuring point The total number of the first measuring devices below;

[0096] First measuring point With the first measuring point The height between;

[0097] First measuring point The angle between the axis and the vertical line measured by the first measuring device at time t;

[0098] First measuring point The angle between the initial axis and the vertical line at the location (reference value);

[0099] At time t, the first measuring point The actual horizontal displacement relative to the bottom of the pile;

[0100] At the initial moment, the first measuring point The actual horizontal displacement relative to the bottom of the pile.

[0101] It should be noted that this embodiment includes cases where the spacing between adjacent first measuring points is the same or different, and the value of the spacing can be confirmed by those skilled in the art based on the specific working conditions on site.

[0102] In an automated data acquisition system, data is collected in real time through the steps described above, enabling continuous monitoring of displacement.

[0103] S600. Based on the horizontal offset of the first measuring point at different times under the target height, fit the curve of the horizontal offset change of the corresponding first measuring device, that is, the curve of the horizontal offset change over time.

[0104] When there are significantly isolated points on the horizontal offset change curve, the measurement data at that moment is directly determined to be an outlier. Specifically, in the process of plotting this curve, this embodiment uses spline interpolation to fit the measured horizontal displacement changes at different times under the target height. It is necessary to judge the rate of change of the second derivative of the fitted curve. If there is a point on the curve where the rate of change of the second derivative is significantly greater than the adjacent rate of change, it indicates that there is an isolated point on the curve, and the horizontal offset at that moment is directly determined to be an outlier. It should be noted that when plotting this horizontal offset change curve, the automated platform uses statistical methods (such as moving average and residual analysis) to identify outliers, rather than relying solely on visual judgment.

[0105] If the horizontal offset change curve does not show significant abnormalities, then further abnormal data judgment is performed.

[0106] For horizontal offset variation curves that show no significant anomalies, further methods for identifying anomalous data include:

[0107] S700. On the sheet pile, determine a first section comprising three consecutive first measuring points, with one of the first measuring points in the first section located at the target height; acquire the horizontal offset of the upper, middle, and lower first measuring points of the first section at the target time, and calculate the average horizontal offset between the upper and lower first measuring points; calculate the first relative deviation between the horizontal offset and the horizontal offset at the middle first measuring point. It can be understood that by comparing the horizontal offset of the middle first measuring point with the data of its two adjacent first measuring points at the same time, the source of data anomalies is identified, and abnormal data is eliminated. Specifically, the horizontal offset of the middle first measuring point of the first section is... The horizontal offset of the first measuring point above the first measuring segment is The horizontal displacement value of the first measuring point below the first measuring section is .

[0108] Alignment anomaly assessment:

[0109] First relative deviation value = Equation (9)

[0110] In the formula:

[0111] The second measuring point above the second measuring section ( At the target time Horizontal offset;

[0112] Second measuring point in the middle of the second measuring section ( At the target time Horizontal offset;

[0113] The second measuring point below the second measuring section ( At the target time The horizontal offset.

[0114] It should be noted that =0, and for ease of calculation, j should be at least greater than 1 when selecting points.

[0115] When the first relative deviation value is not greater than the second preset threshold, the horizontal offset measured by the first measuring point at the target time and target height is determined to be abnormal.

[0116] When the first relative deviation value is less than the second preset threshold, the horizontal displacement measured by the first measuring point at the target time and target height is determined to be normal.

[0117] In this way, if the data used in subsequent safety assessments of sheet piles is ensured to be normal, safety misjudgments caused by malfunctions of individual measuring devices can be reduced, thereby improving the accuracy of safety assessments.

[0118] In summary, the above data calculation and judgment logic are all completed by automated data acquisition devices. For visualized monitoring, the data collected by these devices can be output to a visualized monitoring platform, enabling automatic elimination of abnormal data, reducing monitoring costs, and improving monitoring efficiency. This invention uses displacement monitoring and strain monitoring to mutually verify each other, quickly determining the reliability of the data and improving observation reliability. It can achieve real-time, continuous, efficient, and multi-dimensional monitoring of the displacement and strain of steel sheet piles in river channels, safeguarding the safe operation of the project.

[0119] The examples provided are merely illustrative of the principles and effects of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or alter the above embodiments without departing from the spirit and scope of the invention. Therefore, all equivalent modifications or alterations made by those skilled in the art without departing from the spirit and technical concept disclosed in this invention should still be covered by the claims of this invention.

Claims

1. An automated monitoring device for the tilt and strain of a river sheet pile cofferdam, characterized in that, The system includes an automated data acquisition device (100), multiple first measuring devices (200), and multiple second measuring devices (300). Multiple first measuring points are sequentially arranged from bottom to top on the outer side wall of the sheet pile (400), with the lowest first measuring point located at the bottom of the sheet pile. Second measuring points are arranged on the inner side wall of the sheet pile (400) corresponding to the height positions of each of the first measuring points. Each first measuring device (200) is correspondingly arranged on the first measuring point to measure the inclination angle value of the corresponding first measuring point at different times. Each second measuring device (300) is correspondingly arranged on the second measuring point to measure the strain value at the corresponding second measuring point at different times. The automated data acquisition device (100) is installed on the sheet pile cofferdam and electrically connected to all the first measuring devices (200) and second measuring devices (300) to synchronously acquire the measurement data of the first measuring devices (200) and second measuring devices (300) in real time, thereby monitoring the inclination and deformation of the sheet pile at different depths in real time.

2. The automated monitoring device for the inclination and strain of a river steel sheet pile cofferdam according to claim 1, characterized in that, The first measuring device (200) and the second measuring device (300) are each covered by an independent protective cover (500), and the protective cover (500) is fixedly connected to the steel sheet pile (400).

3. The automated monitoring device for the inclination and strain of a river steel sheet pile cofferdam according to claim 2, characterized in that, The sheet pile (400) is provided with protective plates (600) on both the inner and outer sides. The protective plates (600) are fixedly connected to the sheet pile (400) to form a space that can accommodate the protective cover.

4. A method for anomaly judgment of data measured by the automated monitoring device according to any one of claims 1 to 3, characterized in that, The method includes the following steps: S100. Based on the real-time tilt angle value at the first measuring point measured by each first measuring device (200), calculate the theoretical strain at the first measuring point of each first measuring device (200) at each time. S200. Compare the theoretical strain at the first measuring point with the measured strain at the second measuring point at the corresponding height and time, and calculate the relative difference between the two. When the relative difference is not greater than the first preset threshold, the automated acquisition device determines that the measurement data of the first measuring device (200) and the second measuring device (300) at that height at that moment are reliable; When the relative difference is greater than the first preset threshold, the automated acquisition device (100) determines that the measurement data of the first measuring device (200) and / or the second measuring device (300) at that time and height are abnormal; the height at which the abnormal measurement data exists is defined as the target height, and the time at which the abnormal measurement data exists is defined as the target time.

5. The method for anomaly detection of collected data according to claim 4, characterized in that, The automated data acquisition device (100) further analyzes the measurement data from the second measuring device (300) at the target height. This analysis includes the following methods: S300. Based on the measured strain of the second measuring device at different times at the target height, fit the corresponding strain change curve of the second measuring device. If there is an isolated point with obvious deviation in the curve of the strain change, the target height and the measurement data of the second measuring device at the target time are directly determined to be abnormal values. If the curve of the dependent variable shows no significant abnormality, further abnormal data assessment is then performed.

6. The method for anomaly detection of collected data according to claim 5, characterized in that, If the dependent variable change curve does not show significant abnormalities, further methods for judging abnormal data include: S400. Determine a second measuring segment on the sheet pile, including three consecutive second measuring points, and one of the second measuring points in the second measuring segment is located at the target height; obtain the strain values ​​of the upper, middle and lower two measuring points of the second measuring segment at the target time, and calculate the average strain value between the upper second measuring point and the lower second measuring point; calculate the second relative deviation value between the average strain value and the strain value at the middle second measuring point. When the second relative deviation value is not greater than the second preset threshold, the strain value measured by the second measuring point at the target time and target height is determined to be abnormal. When the second relative deviation value is less than the second preset threshold, the strain value measured at the second measuring point at the target time and target height is determined to be normal.

7. The method for anomaly detection of collected data according to any one of claims 4 to 6, characterized in that, The automated data acquisition device further analyzes the measurement data from the first measuring device at the target height, and the analysis method includes: S500. Based on the change in the real-time tilt angle value of the first measuring point at the target height compared to the initial tilt angle value, calculate the horizontal offset of the first measuring point at different times at the target height. S600. Based on the horizontal offset of the first measuring point at different times at the target height, fit the corresponding horizontal offset change curve of the first measuring device. If there is a significantly deviated isolated point in the horizontal offset change curve, the measurement data at the first measuring point below the target height is directly determined to be an abnormal value. If the horizontal offset change curve does not show significant abnormalities, further abnormal data judgment is performed.

8. The method for anomaly detection of collected data according to claim 7, characterized in that, When the horizontal offset change curve shows no significant anomalies, further methods for judging abnormal data include: S700. Determine a first section on the sheet pile, including three consecutive first measuring points, and one of the first measuring points in the first section is located at the target height; obtain the horizontal offset of the upper, middle and lower first measuring points of the first section at the target time, and calculate the average horizontal offset of the upper first measuring point and the lower first measuring point; calculate the first relative deviation value between the horizontal offset and the horizontal offset at the middle first measuring point. When the first relative deviation value is not greater than the second preset threshold, the horizontal offset measured by the first measuring point at the target time and target height is determined to be abnormal. When the first relative deviation value is less than the second preset threshold, the horizontal offset measured by the first measuring point at the target time and target height is determined to be normal.

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