Method for reducing differential settlement monitoring error of deep foundation pit

Abstract

The invention relates to the technical field of settlement monitoring, in particular to a method for reducing differential settlement monitoring errors of a deep foundation pit, and the method comprises the steps: measuring the three-dimensional coordinate information of each monitoring point in the range of the deep foundation pit; according to the synchronization characteristic of random fluctuation of the three-dimensional coordinate information of each monitoring point in each time period, the interfered synchronization degree of each monitoring point in each time period is obtained, and according to the change characteristic of the interfered synchronization degree of each monitoring point in all time periods, the synchronous interference continuity of each monitoring point is obtained; according to the average level and the difference degree of the interference synchronization degrees of different monitoring points in the local area, the interference significant coefficient of each monitoring point is obtained, and the settlement credibility of each monitoring point is obtained by combining the synchronization interference persistence so as to extract a settlement point; and monitoring the differential settlement of the deep foundation pit according to the coordinate distribution difference condition of each settlement point in the vertical direction. The settlement monitoring precision can be improved.

Description

Technical Field

[0001] The present application relates to the technical field of settlement monitoring, and in particular to a method for reducing the monitoring error of uneven settlement of deep foundation pits. Background Art

[0002] Generally speaking, uniform settlement of deep foundation pits has little impact on building structures. However, uneven settlement of deep foundation pits can cause additional stress in buildings, leading to cracks and even the risk of building tilt or collapse. Therefore, in order to ensure the stability and safety of deep foundation pits, high-precision monitoring of uneven settlement of deep foundation pits is required. This allows for real-time monitoring of the settlement status of deep foundation pits and the implementation of appropriate measures to ensure the construction quality and safety of deep foundation pits.

[0003] In the existing technology, a stable reference coordinate system is established by using monitoring points within the deep foundation pit and benchmark points on the ground. A total station measurement device is used to measure the three-dimensional coordinate information of each monitoring point within the deep foundation pit in real time. The three-dimensional coordinate information of each monitoring point is then analyzed to ultimately monitor the uneven settlement of the deep foundation pit. However, because the three-dimensional coordinate information measured using a total station is easily interfered with by environmental factors such as atmospheric refraction and strong winds, the existing technology does not fully consider the degree of interference at different monitoring points when monitoring the uneven settlement of the deep foundation pit. This results in large errors in the monitoring of the uneven settlement of the deep foundation pit, making it impossible to accurately assess the stability and safety of the deep foundation pit. Summary of the Invention

[0004] In order to solve the above technical problems, the present application provides a method for reducing the monitoring error of uneven settlement of deep foundation pits to solve the existing problems.

[0005] A method for reducing the monitoring error of uneven settlement of deep foundation pits in this application adopts the following technical solution: One embodiment of the present application provides a method for reducing the error in monitoring uneven settlement of a deep foundation pit, comprising the following steps: Measure the three-dimensional coordinate information of each monitoring point within the deep foundation pit; According to the synchronization characteristics of the random fluctuations of the three-dimensional coordinate information of each monitoring point in each time period, the interference synchronization degree of each monitoring point in each time period is obtained, and according to the change characteristics of the interference synchronization degree of each monitoring point in all time periods, the synchronization interference duration of each monitoring point is obtained; By analyzing the average level and difference of the interference synchronization of different monitoring points in the local area, the interference significance coefficient of each monitoring point is obtained, and then the settlement credibility of each monitoring point is obtained in combination with the synchronization interference persistence, which is used to divide the monitoring points and extract settlement points; Based on the differences in the coordinate distribution of each settlement point in the vertical direction, the uneven settlement of the deep foundation pit is monitored.

[0006] Preferably, the method for obtaining the interference synchronization degree of each monitoring point in each time period is further as follows: Where, is the interference synchronization degree of the i-th monitoring point in the t-th time period, is the mean information entropy of all dimensional residual subsequences of the i-th monitoring point in the i-th time period, is the mean of the difference distances between all dimensional residual subsequences of the i-th monitoring point in the i-th time period, To avoid constants with denominators equal to 0.

[0007] Preferably, the dimensional values ​​in the three-dimensional coordinate information of each monitoring point at all times are arranged in time sequence, and each monitoring point obtains a three-dimensional data sequence. Each dimensional data sequence of each monitoring point is evenly divided into multiple subsequences as the dimensional data subsequences of each monitoring point in each time period.

[0008] Preferably, the data subsequences of each dimension of each monitoring point in each time period are time-series decomposed to obtain residual subsequences of each dimension of each monitoring point in each time period.

[0009] Preferably, the method for obtaining the synchronization interference duration of each monitoring point is further as follows: Where, is the duration of synchronous interference at the i-th monitoring point, is the number of elements in the synchronization interference sequence of the i-th monitoring point, that is, the number of divided time periods, is an exponential function with a natural constant as base, and are the jth and j-1th elements in the synchronization interference sequence of the i-th monitoring point, respectively. The interference synchronization degrees of each monitoring point in all time periods are arranged in time sequence to form the synchronization interference sequence of each monitoring point.

[0010] Preferably, the method for obtaining the interference significant coefficient of each monitoring point is further as follows: Where, is the interference significance coefficient of the i-th monitoring point, is the range normalization function, is the mean value of the synchronization interference sequence of the i-th monitoring point, is the mean of the difference distances between the synchronization interference sequences of the i-th monitoring point and all its neighboring monitoring points, where the interference synchronization degrees of each monitoring point in all time periods are arranged in time sequence to form the synchronization interference sequences of each monitoring point.

[0011] Preferably, a plurality of monitoring points that are closest to each monitoring point are all regarded as neighboring monitoring points of each monitoring point.

[0012] Preferably, the method for obtaining the settlement credibility of each monitoring point is further as follows: Where, is the settlement credibility of the i-th monitoring point, are the interference significance coefficient and synchronous interference duration of the i-th monitoring point respectively.

[0013] Preferably, the extraction of settlement points further comprises: performing threshold segmentation on the settlement credibility of all monitoring points, and taking the monitoring points corresponding to the settlement credibility greater than the segmentation threshold as settlement points.

[0014] Preferably, the monitoring of uneven settlement of a deep foundation pit further comprises: Obtain the dimensional data sequence of each settlement point in the vertical direction, and calculate the first-order difference sequence. The sum of all elements in the first-order difference sequence is taken as the settlement of each settlement point. The average absolute error of the settlement of all settlement points is counted and normalized. If the normalized result is less than the preset value, there is no uneven settlement in the deep foundation pit; otherwise, there is uneven settlement in the deep foundation pit.

[0015] This application has at least the following beneficial effects: This application takes into account that the use of a total station to measure three-dimensional coordinate information is easily interfered with by environmental factors, and that existing technologies do not fully consider the degree of interference at different monitoring points when monitoring uneven settlement of deep foundation pits, resulting in large errors in monitoring uneven settlement of deep foundation pits. Therefore, this application extracts the random fluctuations and noise components of each dimensional data in different time periods, and through the complexity and differences between the random fluctuations and noise components of different dimensional data, accurately measures the synchronization characteristics of the three-dimensional coordinate data affected by external environmental factors, thereby avoiding high elevation change errors at subsequently selected monitoring points; Furthermore, the present application analyzes the duration characteristics of the synchronization interference of the three-dimensional coordinate information of each monitoring point by external environmental factors through the increasing trend of the interference synchronization between adjacent time periods, which is conducive to more accurate selection of settlement points in the future; At the same time, this application is based on the duration of synchronous interference at each monitoring point, and fully considers the interference significance characteristics of the monitoring point, and accurately measures the credibility of the settlement amount at each monitoring point, so as to more accurately select suitable settlement points to monitor the uneven settlement of deep foundation pits, thereby avoiding interference caused by external environmental factors, reducing the error of uneven settlement monitoring of deep foundation pits, and improving the accuracy of uneven settlement monitoring of deep foundation pits. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions and advantages of the embodiments of the present application or the prior art, the following is a brief introduction to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0017] Figure 1 This application provides a flowchart of the steps of a method for reducing the monitoring error of uneven settlement of deep foundation pits. DETAILED DESCRIPTION

[0018] In order to further illustrate the technical means and effects adopted by this application to achieve the predetermined invention purpose, the following, in conjunction with the accompanying drawings and preferred embodiments, describes in detail a method for reducing the error in monitoring the uneven settlement of deep foundation pits proposed in this application, including its specific implementation, structure, features, and effects. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. In addition, specific features, structures, or characteristics of one or more embodiments may be combined in any suitable form.

[0019] Unless otherwise defined, terms such as "comprises," "comprising," or any other variants thereof are intended to encompass non-exclusive inclusion, such that a circuit structure, article, or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such article or device. In the absence of further restrictions, an element defined by the phrase "comprising a ..." does not exclude the presence of additional identical elements in the article or device comprising the element. In addition, the term "and\or" as used herein includes any and all combinations of one or more related listed items. All technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which this application pertains.

[0020] The following describes in detail a specific solution of a method for reducing the monitoring error of uneven settlement of deep foundation pits provided by the present application with reference to the accompanying drawings.

[0021] An embodiment of the present application provides a method for reducing the error in monitoring uneven settlement of deep foundation pits. For details, please refer to Figure 1 , including the following steps: Step 1: Measure the three-dimensional coordinate information of each monitoring point within the deep foundation pit.

[0022] In the actual operation of deep foundation pits, in order to monitor the uneven settlement of deep foundation pits, multiple representative monitoring points are evenly set within the deep foundation pit. At the same time, a stable point on the ground is selected as a reference point. A three-dimensional reference coordinate system is established with the reference point as the origin through a total station. The three-dimensional coordinate information of each monitoring point within the deep foundation pit is measured in real time by the total station to obtain the three-dimensional coordinate information of each monitoring point at each moment. In this embodiment, the number of monitoring points is 50, the measurement time interval is 1 minute, and the measurement time is 24 hours. The implementer can make adaptive settings according to actual conditions.

[0023] Furthermore, in order to reduce the error in monitoring uneven settlement of deep foundation pits and realize high-precision monitoring of uneven settlement of deep foundation pits, the dimensional values ​​in the three-dimensional coordinate information of each monitoring point at all times are arranged in chronological order to obtain the dimensional data sequences of each monitoring point within the deep foundation pit range. Each monitoring point can obtain three-dimensional data sequences.

[0024] Step 2: Based on the synchronization characteristics of the random fluctuations of the three-dimensional coordinate information of each monitoring point in each time period, the interference synchronization degree of each monitoring point in each time period is obtained, and based on the change characteristics of the interference synchronization degree of each monitoring point in all time periods, the synchronization interference duration of each monitoring point is obtained.

[0025] Since the three-dimensional coordinate information measured by the total station is easily interfered with by environmental factors, such as atmospheric refraction, strong winds and other environmental factors, it is necessary to measure the degree of interference of each monitoring point within the deep foundation pit, select monitoring points with higher credibility as settlement points, and conduct uneven settlement monitoring of the deep foundation pit, so as to reduce the error in monitoring the uneven settlement of the deep foundation pit, and thus more accurately evaluate the stability and safety of the deep foundation pit.

[0026] Since the measurement data of the total station are affected by different external environmental factors in different time periods, each dimensional data sequence of each monitoring point is evenly divided into K subsequences. In this embodiment, K is 24, so that the time length of each subsequence is one hour. The implementer can adaptively select the value to obtain the subsequence of each dimensional data of each monitoring point in each time period.

[0027] Since the stability of the three-dimensional coordinate data of the monitoring point will be affected by the interference of external environmental factors, for any monitoring point, the data subsequences of each dimension of the monitoring point in each time period are used as the STL time series decomposition algorithm (Seasonal-Trend decomposition procedure based on Loess). The residual subsequences of each dimension of the monitoring point in each time period are obtained by the STL time series decomposition algorithm to reflect the degree of random fluctuation and noise components in the data subsequences of each dimension. The STL time series decomposition algorithm is a well-known technology and the specific process will not be repeated here.

[0028] Generally speaking, the more complex the random fluctuations and noise components of the data subsequences of each dimension in a certain time period, and the smaller the difference distance between all dimensional residual subsequences in the time period, that is, the higher the degree of similarity, the more accurately it can reflect the synchronization characteristics of the three-dimensional coordinate data in the time period being disturbed by external environmental factors, and the more likely it is to cause error interference in the subsequent deep foundation pit uneven settlement monitoring.

[0029] Therefore, for each monitoring point within the deep foundation pit, the interference synchronization degree of each time period is calculated: Where, is the interference synchronization degree of the i-th monitoring point in the t-th time period, is the mean information entropy of all dimensional residual subsequences of the i-th monitoring point in the i-th time period, is the mean of the difference distances between all dimensional residual subsequences of the i-th monitoring point in the i-th time period, To avoid a constant with a denominator of 0, the value is taken within a smaller data range (0.001, 0.01). The impact on the calculation result is small and can be ignored. In this embodiment, the value is 0.005.

[0030] The calculation of information entropy and difference distance are both well-known technologies. The difference distance can be measured by DTW dynamic programming distance, Euclidean distance or Mahalanobis distance. This embodiment uses Mahalanobis distance to measure the difference distance.

[0031] It can be understood that the interference synchronization reflects the synchronization characteristics of the three-dimensional coordinate data in each time period that are disturbed by external environmental factors. The greater the interference synchronization characteristics, the more likely it is to cause errors in elevation changes at the monitoring points, affecting the accuracy of subsequent monitoring of uneven settlement of deep foundation pits.

[0032] Furthermore, the interference synchronization degree of each monitoring point in the deep foundation pit in all time periods is arranged in chronological order to obtain the synchronization interference sequence of each monitoring point, which reflects the change of the synchronization characteristics disturbed by external environmental factors in the time dimension. If the upward trend of the interference synchronization degree in the synchronization interference sequence of a certain monitoring point is higher, it means that the duration of the synchronization interference of the three-dimensional coordinate information of the monitoring point by the external environmental factors is longer, and the monitoring point is less suitable as a representative point for uneven settlement monitoring of deep foundation pits.

[0033] Therefore, the synchronous interference duration of each monitoring point within the deep foundation pit is calculated: Where, is the duration of synchronous interference at the i-th monitoring point, is the number of elements in the synchronization interference sequence of the i-th monitoring point, that is, the number of divided time periods, is an exponential function with a natural constant as base, and They are respectively the j-th and j-1-th elements in the synchronization interference sequence of the i-th monitoring point.

[0034] Among them, the duration of synchronous interference reflects the duration characteristics of the synchronous interference of the three-dimensional coordinate information at the monitoring point by external environmental factors. The greater the duration of synchronous interference, the longer the duration of the synchronous interference of the three-dimensional coordinate information at the monitoring point by external environmental factors, and the more likely it is to affect the authenticity of the settlement calculation at the monitoring position, thereby causing monitoring errors of uneven settlement of deep foundation pits.

[0035] Step 3: By analyzing the average level and degree of difference of interference synchronization of different monitoring points in the local area, the interference significance coefficient of each monitoring point is obtained, and then the settlement credibility of each monitoring point is obtained in combination with the duration of the synchronization interference, which is used to divide the monitoring points and extract settlement points.

[0036] Under normal circumstances, the three-dimensional coordinate data measured at the monitoring points in a local area are less affected by interference from external environmental factors. However, if the synchronization characteristics of the three-dimensional coordinate data of a certain monitoring point are interfered with by external environmental factors, and the difference in the interference synchronization characteristics between the monitoring point and the other monitoring points in the local area is greater, it can be explained that the interference characteristics of the three-dimensional coordinate data measured at the monitoring point are more significant, and the monitoring point is less suitable as a settlement point for monitoring uneven settlement of deep foundation pits.

[0037] Therefore, within the deep foundation pit, the M monitoring points with the closest Euclidean distance to each monitoring point are used as the M neighboring monitoring points of each monitoring point. In this embodiment, the value of M is 4, which represents the nearest local monitoring points in the four directions of the monitoring point. The implementer can make adaptive values ​​according to actual conditions.

[0038] Based on the above analysis, the interference significance coefficient of each monitoring point within the deep foundation pit is calculated: Where, is the interference significance coefficient of the i-th monitoring point, is the mean value of the synchronization interference sequence of the i-th monitoring point, is the mean of the difference distances between the synchronization interference sequences of the ith monitoring point and all its neighboring monitoring points, is the range normalization function.

[0039] Among them, the interference significance coefficient reflects the degree to which the three-dimensional coordinate information of each monitoring point within the deep foundation pit is interfered with by external environmental factors. The larger the interference significance coefficient, the more significant the interference degree of the three-dimensional coordinate information of the monitoring point is affected by external environmental factors, and the less suitable it is as a settlement point for monitoring uneven settlement of deep foundation pits.

[0040] Furthermore, the longer the duration characteristic of the synchronous interference of the three-dimensional coordinate information of a monitoring point within the deep foundation pit is, and the more significant the interference of the three-dimensional coordinate information of the monitoring point by the external environmental factors is, the lower the credibility of the three-dimensional data measured by the total station at the monitoring point is, and the less reliable the settlement amount at the monitoring point is, and the less suitable it is as a settlement point for monitoring uneven settlement of deep foundation pits.

[0041] Therefore, based on the above analysis, the settlement reliability of each monitoring point within the deep foundation pit is calculated: Where, is the settlement credibility of the i-th monitoring point.

[0042] Among them, the settlement credibility reflects the credibility of the settlement amount at each monitoring point within the deep foundation pit. The smaller the settlement credibility, the more serious the interference of the three-dimensional coordinate information of the monitoring point by external environmental factors is, and the less suitable it is as a settlement point for monitoring uneven settlement of deep foundation pits. Conversely, the larger the settlement credibility, the less interference of the three-dimensional coordinate information of the monitoring point by external environmental factors is, and the more suitable it is as a settlement point for monitoring uneven settlement of deep foundation pits.

[0043] Therefore, in order to select monitoring points with higher measurement accuracy as settlement points, thereby reducing the error in monitoring the uneven settlement of deep foundation pits and more accurately evaluating the stability and safety of deep foundation pits, the settlement credibility of all monitoring points within the deep foundation pit range is used as the input of the maximum inter-class variance algorithm, and the settlement credibility segmentation threshold is obtained through the maximum inter-class variance algorithm. The maximum inter-class variance algorithm is a well-known technology and the specific process is not repeated here. Furthermore, the corresponding monitoring points with settlement credibility greater than the segmentation threshold are used as settlement points. In this embodiment, for ease of understanding and expression, the set consisting of all settlement points is referred to as the settlement point set.

[0044] Among them, the three-dimensional coordinate information of the monitoring points in the settlement point set is less affected by external environmental factors, which is conducive to reducing the error of deep foundation pit uneven settlement monitoring and improving the accuracy of deep foundation pit uneven settlement monitoring.

[0045] Step 4: Monitor the uneven settlement of the deep foundation pit based on the differences in the coordinate distribution of each settlement point in the vertical direction.

[0046] According to the above process of this embodiment, a settlement point set can be extracted. The monitoring points contained in the settlement point set are all settlement points. In order to more accurately monitor the uneven settlement of deep foundation pits, since the settlement amount focuses on the change amount of each settlement point in the vertical direction, the three-dimensional data sequence of each settlement point in the settlement point set is used to obtain the dimensional data sequence of each settlement point in the settlement point set in the vertical direction, and the first-order difference sequence of the dimensional data sequence in the vertical direction is calculated to reflect the change amount of each settlement point in the vertical direction at different times, and the sum of all elements in the first-order difference sequence is used as the settlement amount of each settlement point in the settlement point set.

[0047] Furthermore, the average absolute error of the settlement of all settlement points in the settlement point set is calculated and normalized as the monitoring result of the uneven settlement of the deep foundation pit. In this embodiment, a preset value is set to 0.6. The smaller the normalized result, the smaller the uneven settlement characteristics of the deep foundation pit, and the higher the stability and safety of the deep foundation pit. In this embodiment, when the normalized result is less than the preset value, the deep foundation pit does not experience uneven settlement; otherwise, the deep foundation pit experiences uneven settlement, that is, the larger the normalized result, the more serious the uneven settlement of the deep foundation pit, and the lower the stability and safety of the deep foundation pit. It is necessary to take corresponding measures in a timely manner to ensure the construction quality and safety of the deep foundation pit.

[0048] It is understood that references to "one embodiment" or "some embodiments" in the present specification mean that one or more embodiments of the present application include a particular feature, structure, or characteristic described in conjunction with that embodiment. Thus, if "in one embodiment," "in some embodiments," "in other embodiments," or "in other embodiments" appear in different places in this specification, they do not necessarily refer to the same embodiment, but rather mean "one or more but not all embodiments," unless otherwise specifically emphasized. The terms "including," "comprising," "having," and their variations all mean "including but not limited to," unless otherwise specifically emphasized.

[0049] It should be noted that the above-mentioned sequence of the embodiments of the present application is for description only and does not represent the advantages and disadvantages of the embodiments. The above description is of a specific embodiment of this specification. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multi-tasking and parallel processing are also possible or may be advantageous. At the same time, the size of the sequence number of each step in the embodiment does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments in this specification.

[0050] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present application, and should all be included in the scope of protection of the present application.

Claims

1. A method for reducing the error in monitoring uneven settlement of deep foundation pits, characterized in that: The following steps are involved: Measure the three-dimensional coordinate information of each monitoring point within the deep foundation pit; According to the synchronization characteristics of the random fluctuations of the three-dimensional coordinate information of each monitoring point in each time period, the interference synchronization degree of each monitoring point in each time period is obtained, and according to the change characteristics of the interference synchronization degree of each monitoring point in all time periods, the synchronization interference duration of each monitoring point is obtained; By analyzing the average level and difference of the interference synchronization of different monitoring points in the local area, the interference significance coefficient of each monitoring point is obtained, and then the settlement credibility of each monitoring point is obtained in combination with the synchronization interference persistence, which is used to divide the monitoring points and extract settlement points; Based on the differences in the coordinate distribution of each settlement point in the vertical direction, the uneven settlement of the deep foundation pit is monitored.

2. A method for reducing the monitoring error of uneven settlement of deep foundation pits according to claim 1, characterized in that: The method for obtaining the interference synchronization degree of each monitoring point in each time period is further as follows: Where, is the interference synchronization degree of the i-th monitoring point in the t-th time period, is the mean information entropy of all dimensional residual subsequences of the i-th monitoring point in the i-th time period, is the mean of the difference distances between all dimensional residual subsequences of the i-th monitoring point in the i-th time period, To avoid constants with denominators equal to 0.

3. A method for reducing the monitoring error of uneven settlement of deep foundation pits according to claim 2, characterized in that: The dimensional values ​​in the three-dimensional coordinate information of each monitoring point at all times are arranged in time sequence, and each monitoring point obtains a three-dimensional data sequence. Each dimensional data sequence of each monitoring point is evenly divided into multiple subsequences as the dimensional data subsequences of each monitoring point in each time period.

4. A method for reducing the monitoring error of uneven settlement of deep foundation pits according to claim 3, characterized in that: The data subsequences of each dimension of each monitoring point in each time period are decomposed in time series to obtain the residual subsequences of each dimension of each monitoring point in each time period.

5. The method for reducing the monitoring error of uneven settlement of deep foundation pits according to claim 1, characterized in that: The method for obtaining the synchronization interference duration of each monitoring point is further as follows: Where, is the duration of synchronous interference at the i-th monitoring point, is the number of elements in the synchronization interference sequence of the i-th monitoring point, that is, the number of divided time periods, is an exponential function with a natural constant as base, and are the jth and j-1th elements in the synchronization interference sequence of the i-th monitoring point, respectively. The interference synchronization degrees of each monitoring point in all time periods are arranged in time sequence to form the synchronization interference sequence of each monitoring point.

6. The method for reducing the monitoring error of uneven settlement of deep foundation pits according to claim 1, characterized in that: The method for obtaining the interference significant coefficient of each monitoring point is further as follows: Where, is the interference significance coefficient of the i-th monitoring point, is the range normalization function, is the mean value of the synchronization interference sequence of the i-th monitoring point, is the mean of the difference distances between the synchronization interference sequences of the i-th monitoring point and all its neighboring monitoring points, where the interference synchronization degrees of each monitoring point in all time periods are arranged in time sequence to form the synchronization interference sequences of each monitoring point.

7. A method for reducing the monitoring error of uneven settlement of deep foundation pits according to claim 6, characterized in that: The multiple monitoring points closest to each monitoring point are regarded as the neighboring monitoring points of each monitoring point.

8. The method for reducing the monitoring error of uneven settlement of deep foundation pits according to claim 1, characterized in that: The method for obtaining the settlement credibility of each monitoring point is further as follows: Where, is the settlement credibility of the i-th monitoring point, are the interference significance coefficient and synchronous interference duration of the i-th monitoring point respectively.

9. The method for reducing the monitoring error of uneven settlement of deep foundation pits according to claim 1, characterized in that: The extraction of the settlement points further includes: performing threshold segmentation on the settlement credibility of all monitoring points, and taking the monitoring points corresponding to the settlement credibility greater than the segmentation threshold as settlement points.

10. The method for reducing the monitoring error of uneven settlement of deep foundation pits according to claim 3, characterized in that: The monitoring of uneven settlement of a deep foundation pit further includes: Obtain the dimensional data sequence of each settlement point in the vertical direction, and calculate the first-order difference sequence. The sum of all elements in the first-order difference sequence is taken as the settlement of each settlement point. The average absolute error of the settlement of all settlement points is counted and normalized. If the normalized result is less than the preset value, there is no uneven settlement in the deep foundation pit; otherwise, there is uneven settlement in the deep foundation pit.

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