Bridge incremental launching construction monitoring method based on data analysis

Abstract

The invention discloses a bridge incremental launching construction monitoring method based on data analysis, and relates to the technical field of bridge incremental launching construction.The method comprises the following steps that firstly, in the bridge incremental launching construction process, various types of incremental launching construction data are collected in real time; 2, setting the period duration of the incremental launching construction monitoring period to be Tmonitor, generating an incremental launching construction monitoring sequence after each incremental launching construction monitoring period, sequentially monitoring and analyzing various types of incremental launching construction data according to the incremental launching construction monitoring sequences, and completing monitoring and analysis on each type of incremental launching construction data, acquiring a surface analysis value of the incremental launching construction data of the type, and judging whether the incremental launching construction data is marked as surface key monitoring data or not; by means of the first step and the second step, regular monitoring and analysis are conducted on multi-type incremental launching construction data in the bridge incremental launching construction process, and key incremental launching construction data are preferentially analyzed.

Description

Technical Field

[0001] The present invention relates to the technical field of bridge jacking construction, and more specifically, to a bridge jacking construction monitoring method based on data analysis. Background Art

[0002] As an important bridge construction method, bridge jacking construction technology is widely used in the construction of large bridges, especially across rivers, canyons or other areas that are difficult to construct directly. This method is to install the bridge segments on the abutments or temporary supports in advance, and then use equipment such as horizontal jacks to gradually push the bridge segments to the opposite bank or the predetermined position until the entire bridge is completed. This construction method has the advantages of reducing high-altitude operations, reducing construction difficulty and cost, and ensuring construction safety.

[0003] However, bridge jacking construction involves complex mechanical processes, including stress analysis of bridge structures, selection and arrangement of jacking equipment, displacement and deformation control during construction, etc. During the construction process, any slight deviation or abnormality may have a significant impact on the overall safety of the bridge. Therefore, monitoring and analysis of the bridge jacking construction process is particularly important.

[0004] Traditional monitoring methods for bridge jacking construction mainly rely on manual on-site observation and simple data recording, which is not only inefficient but also easily affected by human factors, resulting in inaccurate or missed monitoring data. With the development of information technology and data analysis technology, data-based monitoring methods are gradually being applied to the field of bridge construction, but existing methods often only focus on a single or a few key parameters, lack comprehensiveness and systematicness, and are difficult to accurately reflect the complex changes in the process of bridge jacking construction.

[0005] In addition, existing monitoring methods often lack a dynamic adjustment mechanism and cannot flexibly adjust the monitoring focus and analysis sequence according to the actual situation of the construction process, resulting in the inability to timely discover and solve problems during the critical construction stage. At the same time, the subsequent development analysis and prediction of monitoring data are relatively weak, and it is difficult for construction monitoring personnel to intuitively understand the subsequent development of each monitoring parameter, thus failing to provide strong support for construction decision-making. Summary of the invention

[0006] In view of the deficiencies in the prior art, the object of the present invention is to provide a bridge jacking construction monitoring method based on data analysis.

[0007] To achieve the above object, the present invention provides the following technical solutions:

[0008] A bridge jacking construction monitoring method based on data analysis comprises the following steps:

[0009] Step 1: During the bridge pushing construction process, various types of pushing construction data are collected in real time;

[0010] Step 2: Set the duration of the top-pushing construction monitoring cycle to T monitor After each jacking construction monitoring cycle, a jacking construction monitoring sequence is generated, and each type of jacking construction data is monitored and analyzed in turn according to the jacking construction monitoring sequence. After each type of jacking construction data is monitored and analyzed, the surface analysis value of the type of jacking construction data is obtained, and based on the comparison result between the surface analysis value and the surface analysis critical value, it is determined whether to mark the jacking construction data as the surface key monitoring data;

[0011] Step 3: Determine all surface key monitoring data, build key monitoring simulation development models for each surface key monitoring data, and obtain development analysis values ​​of the surface key monitoring data based on the key monitoring simulation development models;

[0012] Step 4: Obtain the depth analysis value of each surface key monitoring data, and then obtain the bridge jacking construction monitoring value. Based on the bridge jacking construction monitoring value and the bridge jacking construction monitoring threshold, determine whether to adjust the monitoring period of the bridge jacking construction.

[0013] Furthermore, after each jacking construction monitoring cycle, a jacking construction monitoring sequence is generated, specifically: obtaining the monitoring key values ​​of each type of jacking construction data, sorting each type of jacking construction data in descending order according to the values ​​of the monitoring key values, and generating a jacking construction monitoring sequence in the sorted order.

[0014] Furthermore, the key monitoring values ​​of the jacking construction data are obtained as follows: obtain all the depth analysis values ​​of a type of jacking construction data obtained within t time before the current time, mark the total number of depth analysis values ​​as Dmb, sum and average all the depth analysis values, and obtain the depth analysis mean Avse, using the formula Jczz = (Avse + 0.81) Dmb+1.02 The monitoring key value Jczz of the jacking construction data is obtained.

[0015] Furthermore, monitoring and analysis are completed for each type of jacking construction data to obtain the surface analysis value of this type of jacking construction data, specifically: actual data of a type of jacking construction data within the jacking construction monitoring period is collected, the actual data of this type of jacking construction data is preprocessed and feature extracted to obtain actual characteristics of this type of jacking construction data, a data surface analysis model for this type of jacking construction data is obtained, the actual characteristics of this type of jacking construction data are input into the data surface analysis model, and the data surface analysis model outputs the surface analysis value of this type of jacking construction data.

[0016] Furthermore, the key monitoring simulation development model of the surface key monitoring data is constructed as follows: the actual characteristics of the surface key monitoring data are obtained, the other types of jacking construction data are marked as non-key construction data, the ideal characteristics of the non-key construction data are obtained, and the key monitoring simulation development model is constructed based on the actual characteristics of the surface key monitoring data and the ideal characteristics of the non-key construction data.

[0017] Furthermore, the development analysis value of the surface key monitoring data is obtained according to the key monitoring simulation development model, specifically: T base The simulation construction of the duration will base The duration is divided into k simulation monitoring periods of equal duration. After the simulation construction is completed, the surface comprehensive value of each simulation monitoring period is obtained, the surface comprehensive values ​​of all simulation monitoring periods are summed and averaged to obtain the surface comprehensive mean Avjp, all surface comprehensive values ​​are sorted in the order of the simulation monitoring periods, the difference between the two adjacent surface comprehensive values ​​after sorting is calculated and the absolute value is taken to obtain the surface comprehensive fluctuation value, all surface comprehensive fluctuation values ​​are summed and averaged to obtain the comprehensive fluctuation mean Avts, and the formula is used. Obtain the development analysis value Bgts of the surface key monitoring data.

[0018] Furthermore, the surface comprehensive value of the simulation monitoring period is obtained as follows: the surface analysis values ​​of all types of jacking construction data in the simulation monitoring period are collected, all surface analysis values ​​are summed and averaged to obtain the surface comprehensive value.

[0019] Furthermore, the depth analysis value of the surface key monitoring data is obtained as follows: the surface analysis value JPz and the development analysis value Mbt of the surface key monitoring data are obtained, and the formula is used The depth analysis value Wqe of the surface key monitoring data is obtained, where d1 is the surface analysis coefficient and d2 is the development analysis coefficient.

[0020] Furthermore, the bridge jacking construction monitoring value is obtained as follows: the depth analysis values ​​of all the key surface monitoring data are summed up to obtain the bridge jacking construction monitoring value.

[0021] Furthermore, based on the bridge jacking construction monitoring value and the bridge jacking construction monitoring threshold, it is determined whether to adjust the monitoring period of the bridge jacking construction, specifically: the bridge jacking construction monitoring threshold is set, when the bridge jacking construction monitoring value is greater than the bridge jacking construction monitoring threshold, the bridge jacking construction monitoring threshold is calculated with the bridge jacking construction monitoring value to obtain the construction monitoring ratio Rw, and the period length of the jacking construction monitoring period is adjusted to T monitor RwWhen the bridge jacking construction monitoring value is less than or equal to the bridge jacking construction monitoring threshold, no processing is performed.

[0022] Compared with the prior art, the present invention has the following beneficial effects:

[0023] The method of the present invention regularly monitors and analyzes multiple types of jacking construction data during the bridge jacking construction process through steps one and two, and gives priority to analyzing key jacking construction data. According to the progress of the bridge jacking construction, the key analysis order of the jacking construction data is dynamically adjusted to ensure efficient analysis of problems existing in the bridge jacking construction process, and at the same time mark the data that need to be monitored;

[0024] Through steps three and four, a key monitoring simulation development model is set up, and a simulation development analysis is performed on each surface key monitoring data. The impact of the surface key monitoring data on other types of jacking construction data during the simulation process is deeply analyzed, so that construction monitoring personnel can have a more intuitive understanding of the subsequent development of each surface key monitoring data, and dynamically adjust the construction monitoring period of bridge jacking according to the analysis results to ensure the construction safety of bridge jacking. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 It is a method flow chart of a bridge jacking construction monitoring method based on data analysis;

[0026] Figure 2 A flow chart for obtaining surface analysis values;

[0027] Figure 3 Flowchart for the construction of a simulation development model for key monitoring. DETAILED DESCRIPTION

[0028] Reference Figures 1 to 3 , a bridge jacking construction monitoring method based on data analysis, comprising the following steps:

[0029] Step 1: During the bridge pushing construction process, various types of pushing construction data are collected in real time (the types of pushing construction data include bridge displacement data, bridge deformation data, bridge stress data, bridge vibration data, bridge temperature data, pushing equipment status data, etc. These data are the key to the safety and stability of bridge pushing construction. At the same time, these pushing construction data will also affect each other. The above-mentioned pushing construction data are collected through corresponding sensors and monitoring data).

[0030] Step 2: Set the duration of the top-pushing construction monitoring cycle to T monitor (Cycle duration T monitorIt is a pre-set duration before the bridge jacking construction begins. During the bridge jacking construction process, the jacking construction monitoring cycle is infinitely looped). After each jacking construction monitoring cycle, a jacking construction monitoring sequence is generated (the jacking construction monitoring sequence contains all types of jacking construction data, and all types of jacking construction data are arranged in a certain order. For example, there are a total of six jacking construction data types, namely bridge displacement data, bridge deformation data, bridge stress data, bridge vibration data, bridge temperature data, and jacking equipment status data. The jacking construction monitoring sequence can be 1. jacking equipment status data; 2. Bridge temperature data; 3. Bridge vibration data; 4. Bridge stress data; 5. Bridge deformation data; 6. Bridge displacement data), monitor and analyze each type of top-pushing construction data in turn according to the top-pushing construction monitoring sequence, complete monitoring and analysis for each type of top-pushing construction data, obtain the surface analysis value of this type of top-pushing construction data, set the surface analysis critical value (the surface analysis critical value is a preset value), when the surface analysis value is greater than or equal to the surface analysis critical value, mark this type of top-pushing construction data as surface key monitoring data, when the surface analysis value is less than the surface analysis critical value, do not process it;

[0031] After each jacking construction monitoring cycle, a jacking construction monitoring sequence is generated, specifically: the monitoring key values ​​of various types of jacking construction data are obtained, and the various types of jacking construction data are sorted in descending order according to the values ​​of the monitoring key values, and the jacking construction monitoring sequence is generated according to the sorting order;

[0032] The key monitoring values ​​of the jacking construction data are obtained as follows: obtain all the depth analysis values ​​of a type of jacking construction data obtained within t time before the current time, mark the total number of depth analysis values ​​as Dmb, sum and average all the depth analysis values, and obtain the depth analysis mean Avse, using the formula Jczz = (Avse + 0.81) Dmb+1.02 Get the monitoring key value Jczz of the jacking construction data;

[0033] After completing monitoring and analysis for each type of top-pushing construction data, the surface analysis value of the top-pushing construction data of the type is obtained, specifically: collecting actual data of a type of top-pushing construction data within the top-pushing construction monitoring period, preprocessing and feature extraction of the actual data of the type of top-pushing construction data (preprocessing methods include data cleaning, data normalization processing, etc., feature extraction methods include feature selection, feature generation, feature dimensionality reduction, feature conversion, etc.), obtaining actual features of the type of top-pushing construction data, obtaining a data surface analysis model for the type of top-pushing construction data, inputting the actual features of the type of top-pushing construction data into the data surface analysis model, and the data surface analysis model outputs the surface analysis value of the type of top-pushing construction data;

[0034] Different types of jacking construction data have different judgment criteria. Therefore, each type of jacking construction data corresponds to an independent data surface analysis model. The difference between each data surface analysis model lies in the difference in training data. Therefore, in the specific implementation manner, only an example is given to illustrate the construction method of the data surface analysis model of one type of jacking construction data, and no longer enumerates the construction methods of the data surface analysis models of all types of jacking construction data.

[0035] The data surface analysis model of bridge displacement data is constructed as follows: collect multiple groups of real data of bridge displacement data, each group of real data of bridge displacement data contains the total vertical displacement, the total lateral displacement, the total longitudinal displacement, etc., pre-process and extract features of the real data of each group of bridge displacement data, obtain multiple real features of the bridge displacement data, build a deep learning model, use the real features as training data of the deep learning model, assign a surface analysis value to each real feature, the value range of the surface analysis value is (0-2.0), the larger the value of the surface analysis value, the more abnormal the bridge displacement, the smaller the value of the surface analysis value, the more normal the bridge displacement, divide the training data into 70% training set and 30% validation set, train the training set and validation set, and then construct a data surface analysis model for bridge displacement data;

[0036] If the data surface analysis model for bridge deformation data is constructed, then for multiple sets of actual data of bridge deformation data, the larger the surface analysis value, the more abnormal the bridge deformation, and the smaller the surface analysis value, the more normal the bridge deformation.

[0037] Through steps one and two, various types of jacking construction data of the bridge jacking construction process are regularly monitored and analyzed, and key jacking construction data are analyzed first. According to the progress of the bridge jacking construction, the key analysis sequence of the jacking construction data is dynamically adjusted to ensure efficient analysis of problems in the bridge jacking construction process, and mark the data that needs to be monitored.

[0038] Step 3: Determine all surface key monitoring data, build key monitoring simulation development models for each surface key monitoring data, and obtain development analysis values ​​of the surface key monitoring data based on the key monitoring simulation development models;

[0039] The key monitoring simulation development model of the surface key monitoring data is constructed as follows: obtain the actual characteristics of the surface key monitoring data, mark the remaining types of jacking construction data as non-key construction data (all types of jacking construction data except the surface key monitoring data are marked, including the remaining surface key monitoring data), obtain the ideal characteristics of the non-key construction data (i.e., the characteristics of the non-key construction data in the safe and stable bridge jacking construction process), and construct the key monitoring simulation development model based on the actual characteristics of the surface key monitoring data and the ideal characteristics of the non-key construction data;

[0040] According to the key monitoring simulation development model, the development analysis value of the surface key monitoring data is obtained, specifically: T base Duration of simulation construction (T base is the preset duration), T base The duration is divided into k simulation monitoring periods of equal duration. After the simulation construction is completed, the surface comprehensive value of each simulation monitoring period is obtained, the surface comprehensive values ​​of all simulation monitoring periods are summed and averaged to obtain the surface comprehensive mean Avjp, all surface comprehensive values ​​are sorted in the order of the simulation monitoring periods, the difference between the two adjacent surface comprehensive values ​​after sorting is calculated and the absolute value is taken to obtain the surface comprehensive fluctuation value, all surface comprehensive fluctuation values ​​are summed and averaged to obtain the comprehensive fluctuation mean Avts, and the formula is used. Get the development analysis value Bgts of the key monitoring data of the surface;

[0041] The key monitoring simulation development model is constructed as follows: select MATLAB Simulink simulation software, create a bridge jacking construction model in the simulation software, and add corresponding entities to the bridge jacking construction model, including bridge structure, jacking equipment, supporting structure, etc., add parameters to the corresponding entities according to the actual characteristics of the surface key monitoring data and the ideal characteristics of the non-key construction data, and construct the key monitoring simulation development model. The key monitoring simulation development model can be used for the simulation construction of bridge jacking;

[0042] The surface comprehensive value during the simulation monitoring period is obtained as follows: the surface analysis values ​​of all types of jacking construction data during the simulation monitoring period are collected, all surface analysis values ​​are summed and averaged to obtain the surface comprehensive value;

[0043] Step 4: Obtain the depth analysis value of each surface key monitoring data, and then obtain the bridge jacking construction monitoring value, set the bridge jacking construction monitoring threshold (the bridge jacking construction monitoring threshold is a pre-set value), when the bridge jacking construction monitoring value is greater than the bridge jacking construction monitoring threshold, calculate the ratio of the bridge jacking construction monitoring threshold to the bridge jacking construction monitoring value, and obtain the construction monitoring ratio Rw, and adjust the period length of the jacking construction monitoring period to T monitor Rw , when the bridge jacking construction monitoring value is less than or equal to the bridge jacking construction monitoring threshold, no processing is performed;

[0044] The depth analysis value of the surface key monitoring data is obtained as follows: obtain the surface analysis value JPz and the development analysis value Mbt of the surface key monitoring data, and use the formula The depth analysis value Wqe of the surface key monitoring data is obtained, where d1 is the surface analysis coefficient, d2 is the development analysis coefficient, the value of d1 is 1.17, and the value of d2 is 0.98;

[0045] The method for obtaining the bridge jacking construction monitoring value is as follows: sum up the depth analysis values ​​of all surface key monitoring data to obtain the bridge jacking construction monitoring value.

[0046] Through steps three and four, a key monitoring simulation development model is set up, and a simulation development analysis is performed on each surface key monitoring data. The impact of the surface key monitoring data on other types of jacking construction data during the simulation process is deeply analyzed, so that construction monitoring personnel can have a more intuitive understanding of the subsequent development of each surface key monitoring data, and dynamically adjust the construction monitoring period of bridge jacking according to the analysis results to ensure the construction safety of bridge jacking.

[0047] The above formulas are all dimensionless and numerical calculations are performed, and the preset parameters in the formulas are set by technicians in this field according to actual conditions.

[0048] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center by wired or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

[0049] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes 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 of the present application.

[0050] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0051] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0052] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0053] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage media include: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROM), random access memories (RAM), magnetic disks or optical disks.

[0054] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A bridge jacking construction monitoring method based on data analysis, characterized in that: The steps include: Step 1: During the bridge pushing construction process, various types of pushing construction data are collected in real time; Step 2: Set the duration of the top-pushing construction monitoring cycle to T monitor After each jacking construction monitoring cycle, a jacking construction monitoring sequence is generated, and each type of jacking construction data is monitored and analyzed in turn according to the jacking construction monitoring sequence. After each type of jacking construction data is monitored and analyzed, the surface analysis value of the type of jacking construction data is obtained, and based on the comparison result between the surface analysis value and the surface analysis critical value, it is determined whether to mark the jacking construction data as the surface key monitoring data; Step 3: Determine all surface key monitoring data, build key monitoring simulation development models for each surface key monitoring data, and obtain development analysis values ​​of the surface key monitoring data based on the key monitoring simulation development models; Step 4: Obtain the depth analysis value of each surface key monitoring data, and then obtain the bridge jacking construction monitoring value. Based on the bridge jacking construction monitoring value and the bridge jacking construction monitoring threshold, determine whether to adjust the monitoring period of the bridge jacking construction.

2. A bridge jacking construction monitoring method based on data analysis according to claim 1, characterized in that: After each jacking construction monitoring cycle, a jacking construction monitoring sequence is generated, specifically: obtaining the monitoring key values ​​of various types of jacking construction data, sorting the various types of jacking construction data in descending order according to the values ​​of the monitoring key values, and generating a jacking construction monitoring sequence in the sorted order.

3. A bridge jacking construction monitoring method based on data analysis according to claim 2, characterized in that: The key monitoring values ​​of the jacking construction data are obtained as follows: obtain all the depth analysis values ​​of a type of jacking construction data obtained within t time before the current time, mark the total number of depth analysis values ​​as Dmb, sum and average all the depth analysis values, and obtain the depth analysis mean Avse, using the formula Jczz = (Avse + 0.81) Dmb+1.02 The monitoring key value Jczz of the jacking construction data is obtained.

4. The bridge jacking construction monitoring method based on data analysis according to claim 1 is characterized in that: Complete monitoring and analysis for each type of jacking construction data to obtain the surface analysis value of this type of jacking construction data, specifically: collect actual data of a type of jacking construction data within the jacking construction monitoring period, preprocess and extract features of the actual data of this type of jacking construction data to obtain actual features of this type of jacking construction data, obtain a data surface analysis model for this type of jacking construction data, input the actual features of this type of jacking construction data into the data surface analysis model, and the data surface analysis model outputs the surface analysis value of this type of jacking construction data.

5. The bridge jacking construction monitoring method based on data analysis according to claim 1 is characterized in that: The key monitoring simulation development model of surface key monitoring data is constructed as follows: obtain the actual characteristics of the surface key monitoring data, mark the other types of jacking construction data as non-key construction data, obtain the ideal characteristics of non-key construction data, and construct the key monitoring simulation development model based on the actual characteristics of the surface key monitoring data and the ideal characteristics of non-key construction data.

6. The bridge jacking construction monitoring method based on data analysis according to claim 1 is characterized in that: According to the key monitoring simulation development model, the development analysis value of the surface key monitoring data is obtained, specifically: T base The simulation construction of the duration will base The duration is divided into k simulation monitoring periods of equal duration. After the simulation construction is completed, the surface comprehensive value of each simulation monitoring period is obtained, the surface comprehensive values ​​of all simulation monitoring periods are summed and averaged to obtain the surface comprehensive mean Avjp, all surface comprehensive values ​​are sorted in the order of the simulation monitoring periods, the difference between the two adjacent surface comprehensive values ​​after sorting is calculated and the absolute value is taken to obtain the surface comprehensive fluctuation value, all surface comprehensive fluctuation values ​​are summed and averaged to obtain the comprehensive fluctuation mean Avts, and the formula is used. Obtain the development analysis value Bgts of the surface key monitoring data.

7. A bridge jacking construction monitoring method based on data analysis according to claim 6, characterized in that: The surface comprehensive value during the simulation monitoring period is obtained as follows: the surface analysis values ​​of all types of jacking construction data during the simulation monitoring period are collected, all surface analysis values ​​are summed and averaged to obtain the surface comprehensive value.

8. The bridge jacking construction monitoring method based on data analysis according to claim 1 is characterized in that: The depth analysis value of the surface key monitoring data is obtained as follows: obtain the surface analysis value JPz and the development analysis value Mbt of the surface key monitoring data, and use the formula The depth analysis value Wqe of the surface key monitoring data is obtained, where d1 is the surface analysis coefficient and d2 is the development analysis coefficient.

9. The bridge jacking construction monitoring method based on data analysis according to claim 1 is characterized in that: The method for obtaining the bridge jacking construction monitoring value is as follows: sum up the depth analysis values ​​of all surface key monitoring data to obtain the bridge jacking construction monitoring value.

10. The bridge jacking construction monitoring method based on data analysis according to claim 1 is characterized in that: Based on the bridge top-pushing construction monitoring value and the bridge top-pushing construction monitoring threshold, determine whether to adjust the monitoring period of the bridge top-pushing construction, specifically: set the bridge top-pushing construction monitoring threshold, when the bridge top-pushing construction monitoring value is greater than the bridge top-pushing construction monitoring threshold, calculate the ratio of the bridge top-pushing construction monitoring threshold to the bridge top-pushing construction monitoring value, obtain the construction monitoring ratio Rw, and adjust the period length of the top-pushing construction monitoring period to T monitor Rw When the bridge jacking construction monitoring value is less than or equal to the bridge jacking construction monitoring threshold, no processing is performed.

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