Civil engineering foundation pit monitoring method and system based on data analysis

Abstract

The invention discloses a civil engineering foundation pit monitoring method and system based on data analysis, and relates to the technical field of civil engineering foundation pit monitoring. The method comprises the steps that foundation pit state data, enclosure state data and building state data of a civil engineering foundation pit are acquired and preprocessed, and civil engineering foundation pit detection features are constructed; carrying out threshold judgment according to the settlement detection characteristics, and when the settlement detection characteristics are greater than a settlement safety threshold, generating a settlement early warning signal and carrying out settlement early warning; threshold value judgment is carried out according to the enclosure state detection features, and when the threshold value is larger than an enclosure state safety threshold value, an enclosure state early warning signal is generated, and enclosure state early warning is carried out; threshold judgment is carried out according to the building state detection features, and when the building state detection features are larger than a building state safety threshold, building state early warning signals are generated, and building state early warning is carried out. By collecting and analyzing the state data of the foundation pit, the enclosure and the building in real time, the safety evaluation and early warning functions are provided, the user operation experience is improved through a graphical interface, and the monitoring efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of civil engineering foundation pit monitoring, and particularly to a civil engineering foundation pit monitoring method and system based on data analysis. Background Technique

[0002] With the acceleration of the urbanization process, the civil engineering foundation pit, as an important part of building construction, its safety is crucial for the smooth progress of the entire project. During the foundation pit construction process, the settlement of the foundation pit, the stability of the retaining structure, and the safety status of surrounding buildings are all key factors affecting construction safety and project quality. Traditional foundation pit monitoring methods mainly rely on manual inspections and conventional physical detection means, such as settlement gauges, displacement gauges, strain gauges, etc. These methods have certain limitations, such as low detection frequency, cumbersome data processing, poor real-time performance, etc., and cannot meet the high requirements for safety monitoring in modern building construction.

[0003] In recent years, with the development of sensing technology, data acquisition technology, and big data analysis technology, foundation pit monitoring has gradually developed towards intelligence and automation. With the help of sensor networks, Internet of Things technology, and data analysis platforms, real-time monitoring and early warning of the foundation pit construction status can be achieved. However, existing foundation pit monitoring methods generally have problems such as complex monitoring data processing, insufficient monitoring accuracy, and weak comprehensive analysis ability for multi-dimensional data. Most traditional foundation pit monitoring systems focus on the monitoring of single indicators, such as foundation pit settlement, retaining structure displacement, etc., while ignoring the comprehensive evaluation of various states during foundation pit construction and lacking efficient and accurate multi-dimensional data processing capabilities. Existing monitoring methods also have deficiencies in the anomaly detection and early warning mechanism. Existing systems usually only judge whether to trigger an early warning based on the threshold of a certain indicator, lacking comprehensive evaluation and cross-verification, which easily leads to false alarms or missed alarms. Therefore, there is an urgent need for a system that can comprehensively, accurately, and intelligently process foundation pit monitoring data and provide real-time monitoring, early warning, and safety analysis.

[0004] Based on the above background, the present invention proposes a civil engineering foundation pit monitoring method and system based on data analysis, aiming to comprehensively analyze the foundation pit status, retaining structure status, and building status, and combine data preprocessing, feature extraction, and threshold judgment to real-time monitor and early warn the safety risks during foundation pit construction, thereby improving the safety and efficiency during foundation pit construction and ensuring the stability of project quality. Summary of the Invention

[0005] Based on the above-mentioned disadvantages of the prior art, the purpose of the present invention is to provide a civil engineering foundation pit monitoring method and system based on data analysis to solve the above technical problems.

[0006] To achieve the above purpose, the present invention provides the following technical solution: A civil engineering foundation pit monitoring method based on data analysis, including:

[0007] Obtain the foundation pit state data, retaining structure state data, and building state data of the civil engineering foundation pit;

[0008] Preprocess the foundation pit state data, retaining structure state data, and building state data, and construct the civil engineering foundation pit detection features according to the preprocessed foundation pit state data, retaining structure state data, and building state data, where the civil engineering foundation pit detection features include: settlement detection features, retaining structure state detection features, and building state detection features;

[0009] Perform threshold judgment according to the settlement detection features. When the settlement detection features are greater than the settlement safety threshold, generate a settlement warning signal and issue a settlement warning;

[0010] Perform threshold judgment according to the retaining structure state detection features. When the retaining structure state detection features are greater than the retaining structure state safety threshold, generate a retaining structure state warning signal and issue a retaining structure state warning;

[0011] Perform threshold judgment according to the building state detection features. When the building state detection features are greater than the building state safety threshold, generate a building state warning signal and issue a building state warning.

[0012] The present invention is further configured such that the foundation pit state data includes foundation pit load, stress area, soil compression modulus, groundwater level, soil porosity, and soil shear strength, the retaining structure state data includes crown beam displacement, temporary column displacement, building displacement, and wall deformation, and the building state data includes building settlement and building inclination.

[0013] The present invention is further configured to construct the civil engineering foundation pit detection features according to the preprocessed foundation pit state data, retaining structure state data, and building state data, including:

[0014] Calculate the settlement detection features according to the foundation pit load, the stress area, the soil compression modulus, the groundwater level, the soil porosity, and the soil shear strength;

[0015] Calculate the retaining structure state detection features according to the crown beam displacement, the temporary column displacement, the building displacement, and the wall deformation;

[0016] Calculate the building state detection features according to the building settlement and the building inclination.

[0017] The present invention is further configured such that the calculation logic of the settlement detection features is: Where S is the settlement detection feature, P is the foundation pit load, A is the foundation pit stress area, and E effE is the effective compression modulus to be corrected, n is the soil porosity, τ is the soil shear strength eff is the correction coefficient based on the soil shear strength and the groundwater level, and the calculation logic is as follows: where E is the soil compression modulus, h is the current groundwater level depth, and H max is the maximum thickness of the soil layer.

[0018] The present invention is further configured such that the calculation logic of the enclosure state feature is as follows: where FP is the enclosure state feature, S tb is the displacement of the capping beam, S tp is the displacement of the temporary column, S bd is the displacement of the building, and D w is the wall deformation.

[0019] The present invention is further configured such that the calculation logic of the building state feature is: S building =α1·δ settlement +α2·θ tilt , where S building is the building state feature, δ settlement is the building settlement, θ tilt is the building tilt angle, and α1 and α2 are different characteristic weight coefficients. The building settlement δ settlement The computer logic is as follows: where Q building is the total load of the building, A foundation is the building foundation area, f soil is the soil settlement function, E soil is the soil elastic modulus, k soil is the compression coefficient, L foundation is the foundation embedment depth, is the soil porosity, and the building tilt angle θ tilt The calculation logic is as follows: where δ settlement (x1) and δ settlement (x2) are the settlements at both ends of the building respectively, and L building is the building length.

[0020] The present invention is further configured to display the settlement detection feature, the enclosure state detection feature, and the building state detection feature on a graphical interface according to a time series, form a settlement detection feature curve, an enclosure state detection feature curve, and a building state detection feature curve, and monitor the change slope of the curve in real time. When the slope change is greater than a preset slope threshold, an alarm signal is generated for alarm.

[0021] The present invention also provides a civil engineering foundation pit monitoring system based on data analysis, and the system includes:

[0022] Data acquisition module: used to acquire foundation pit state data, retaining structure state data, and building state data of the civil engineering foundation pit;

[0023] Feature construction module: used to preprocess the foundation pit state data, retaining structure state data, and building state data, and construct civil engineering foundation pit detection features according to the preprocessed foundation pit state data, retaining structure state data, and building state data, wherein the civil engineering foundation pit detection features include: settlement detection features, retaining structure state detection features, and building state detection features;

[0024] First warning module: used to perform threshold judgment according to the settlement detection features, and when the settlement detection features are greater than the settlement safety threshold, generate a settlement warning signal for settlement warning;

[0025] Second warning module: used to perform threshold judgment according to the retaining structure state detection features, and when the retaining structure state detection features are greater than the retaining structure state safety threshold, generate a retaining structure state warning signal for retaining structure state warning;

[0026] Third warning module: used to perform threshold judgment according to the building state detection features, and when the building state detection features are greater than the building state safety threshold, generate a building state warning signal for building state warning.

[0027] The present invention provides a method and system for monitoring a civil engineering foundation pit based on data analysis. The method includes acquiring foundation pit state data, retaining structure state data, and building state data of the civil engineering foundation pit; preprocessing the foundation pit state data, retaining structure state data, and building state data, and constructing civil engineering foundation pit detection features according to the preprocessed foundation pit state data, retaining structure state data, and building state data, wherein the civil engineering foundation pit detection features include: settlement detection features, retaining structure state detection features, and building state detection features; performing threshold judgment according to the settlement detection features, and when the settlement detection features are greater than the settlement safety threshold, generating a settlement warning signal for settlement warning; performing threshold judgment according to the retaining structure state detection features, and when the retaining structure state detection features are greater than the retaining structure state safety threshold, generating a retaining structure state warning signal for retaining structure state warning; performing threshold judgment according to the building state detection features, and when the building state detection features are greater than the building state safety threshold, generating a building state warning signal for building state warning. The beneficial effects produced include:

[0028] 1. Enhanced real-time monitoring and early warning capabilities: By accurately collecting and analyzing real-time data on the foundation pit status, retaining structure status, and building status, potential safety hazards such as settlement, instability of the retaining structure, or building inclination during the construction of the foundation pit can be detected in a timely manner, enabling early warning and reducing the risk of accidents.

[0029] 2. Comprehensive safety assessment: This method comprehensively considers various factors such as foundation pit load, stress area, soil properties, and groundwater level. By scientifically calculating and constructing characteristics such as settlement, retaining structure status, and building status, it can comprehensively reflect the safety status during the construction of the foundation pit, providing an accurate basis for the safety management of engineering projects.

[0030] 3. Visual operation and convenient user experience: By graphically displaying various detection characteristic curves in real time, it is convenient for engineering personnel to intuitively view the data change trends, quickly identify potential problems, and improve the user's operation experience and monitoring efficiency.

[0031] The above description is only an overview of the technical solution of this application. In order to understand the technical means of this application more clearly, it can be implemented according to the content of the specification. And in order to make the above and other purposes, features, and advantages of this application more obvious and understandable, the specific embodiments of this application are specifically given below. Brief Description of the Drawings

[0032] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings. In the drawings:

[0033] Figure 1 It is a flowchart of a soil foundation pit monitoring method based on data analysis shown in an exemplary embodiment of the present invention;

[0034] Figure 2 It is a schematic structural diagram of a soil foundation pit monitoring system based on data analysis shown in an exemplary embodiment of the present invention. Detailed Embodiments

[0035] The following will illustrate the embodiments of the present invention with reference to the drawings and preferred embodiments. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments. Various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be understood that the preferred embodiments are only for illustrating the present invention, rather than for limiting the protection scope of the present invention.

[0036] It should be noted that the diagrams provided in the following embodiments only illustrate the basic concept of the present invention in a schematic manner. Therefore, only the components related to the present invention are shown in the diagrams, rather than being drawn according to the number, shape, and size of the components in actual implementation. The type, quantity, and proportion of each component in actual implementation can be arbitrarily changed, and the layout type of its components may also be more complex.

[0037] In the following description, a large number of details are explored to provide a more thorough explanation of the embodiments of the present invention. However, it is obvious to those skilled in the art that the embodiments of the present invention can be implemented without these specific details. In other embodiments, well-known structures and devices are shown in the form of block diagrams rather than in detail to avoid making the embodiments of the present invention difficult to understand.

[0038] Embodiment 1

[0039] A method for monitoring civil engineering foundation pits based on data analysis, as Figure 1 shown, includes:

[0040] Obtain the foundation pit state data, retaining structure state data, and building state data of the civil engineering foundation pit;

[0041] Preprocess the foundation pit state data, retaining structure state data, and building state data, and construct civil engineering foundation pit detection features based on the preprocessed foundation pit state data, retaining structure state data, and building state data. The civil engineering foundation pit detection features include: settlement detection features, retaining structure state detection features, and building state detection features;

[0042] Perform threshold judgment according to the settlement detection features. When the settlement detection features are greater than the settlement safety threshold, generate a settlement warning signal and issue a settlement warning;

[0043] Perform threshold judgment according to the retaining structure state detection features. When the retaining structure state detection features are greater than the retaining structure state safety threshold, generate a retaining structure state warning signal and issue a retaining structure state warning;

[0044] Perform threshold judgment according to the building state detection features. When the building state detection features are greater than the building state safety threshold, generate a building state warning signal and issue a building state warning.

[0045] Specifically, obtaining the foundation pit state data of civil engineering foundation pits includes foundation pit load, stress area, soil compression modulus, groundwater level, soil porosity, and soil shear strength. Obtaining the retaining structure state data of civil engineering foundation pits includes crown beam displacement, temporary column displacement, building displacement, and wall deformation. Obtaining the building state data of civil engineering foundation pits includes building settlement and building inclination; the foundation pit load represents the external loads applied around and within the foundation pit. Excessive loads can cause soil failure or foundation pit collapse, and are monitored in real time through load sensors; the stress area represents the surface area of the stressed soil or structure under the action of the foundation pit load; the soil compression modulus describes the deformation ability of the soil under the action of pressure. A lower compression modulus indicates more obvious settlement; the groundwater level represents the actual horizontal position of the groundwater in the area where the foundation pit is located; the soil porosity describes the ratio of the void volume of the soil to the total volume, reflecting the void structure of the soil. A higher porosity indicates that the soil is looser; the soil shear strength describes the ultimate strength of the soil mass to resist shear failure. Soils with lower shear strength are prone to deformation and settlement; the crown beam displacement describes the horizontal or vertical displacement of the crown beam above the retaining structure of the foundation pit under the action of external forces. The deformation of the crown beam reflects the stability of the surrounding support structure of the foundation pit; the temporary column displacement describes the horizontal or vertical displacement of the support structure during the construction of the foundation pit, reflecting the interaction between the soil and the support structure and the stress condition of the foundation pit. The real-time displacement of the temporary column is obtained through a total station; the building displacement describes the horizontal or vertical displacement of the surrounding buildings during the construction of the foundation pit. Displacement meters are installed at key parts of the buildings and measurements are taken using a total station; the wall deformation describes the deformation of the retaining wall of the foundation pit during the construction process, reflecting the interaction between the soil mass and the retaining structure and the mechanical response generated during the construction process of the foundation pit. The deformation of the retaining wall is monitored using a total station; the building settlement represents the vertical displacement of the building foundation due to soil compression and foundation pit excavation. The settlement data reflects the safety state of the building and is monitored in real time through the installation of a level; the building inclination represents the angle by which the verticality of the building deviates from the original design state. The inclination angle is monitored by installing inclinometers at different parts of the building.

[0046] Preprocess the foundation pit state data, retaining structure state data, and building state data of the civil engineering foundation pit. The preprocessing is to ensure the quality and validity of the data. In a complex civil engineering foundation pit monitoring system, data preprocessing helps improve the accuracy, reliability, and stability of model prediction. The data preprocessing includes noise and outlier removal, missing value handling, standardization, and time series processing. Noise and outlier removal is used to clean the data and improve data quality, removing measurement errors or invalid data to reduce the impact of outliers on subsequent analysis. The processing methods include threshold removal and median filtering. Missing value handling is used to fill in missing data and reduce data loss. The processing methods include mean filling, previous value filling, and interpolation. Standardization is to convert the data to the same scale to avoid the adverse effects caused by dimensional differences. The processing methods include standardization and normalization. Time series processing is used to make the data suitable for time series models through differencing and stationarization, eliminating the trend component. The processing methods include seasonal differencing and trend removal.

[0047] The present invention is further configured to construct civil engineering foundation pit detection features based on the preprocessed foundation pit state data, retaining structure state data, and building state data, including:

[0048] Calculate the settlement detection feature according to the foundation pit load, the stress area, the soil compression modulus, the groundwater level, the soil porosity, and the soil shear strength. The present invention is further configured that the calculation logic of the settlement detection feature is: Wherein, S is the settlement detection feature, P is the foundation pit load, A is the foundation pit stress area, E eff is the modified effective compression modulus, n is the soil porosity, τ is the soil shear strength, E eff is the correction coefficient based on the soil shear strength and the groundwater level, and the calculation logic is: Wherein, E is the soil compression modulus, h is the current groundwater level depth, H max is the maximum thickness of the soil layer; the settlement detection feature reflects the impact and changes of foundation pit construction or the surrounding environment on the ground surface, and the settlement safety threshold is obtained through calculation.

[0049] Calculate the retaining structure state detection feature according to the crown beam displacement, the temporary column displacement, the building displacement, and the wall deformation. The present invention is further configured that the calculation logic of the retaining structure state feature is: Wherein, FP is the retaining structure state feature, S tb is the crown beam displacement, S tp is the temporary column displacement, S bd is the building displacement, D wFor wall deformation; the enclosure state detection feature reflects the deformation, displacement and stress state of the foundation pit enclosure structure during the construction of the foundation pit, and the safety threshold of the enclosure state is calculated through calculation.

[0050] Calculate the building state detection feature according to the building settlement and the building inclination; the present invention is further set that the calculation logic of the building state feature is: S building = α1·δ settlement + α2·θ tilt , where S building is the building state feature, δ settlement is the building settlement amount, θ tilt is the building inclination angle, α1 and α2 are different feature weight coefficients, and the building settlement amount δ settlement computer logic is: where Q building is the total load of the building, A foundation is the building foundation area, f soil is the soil settlement function, E soil is the soil elastic modulus, k soil is the compression coefficient, L foundation is the foundation embedment depth, is the soil porosity, and the building inclination angle θ tilt calculation logic is: where δ settlement (x1) and δ settlement (x2) are the settlement amounts at both ends of the building respectively, and L building is the building length; the building state feature reflects the deformation of the surrounding buildings during the construction of the foundation pit, and the building state safety threshold is calculated through calculation.

[0051] The present invention is further set to display the settlement detection feature, the enclosure state detection feature and the building state detection feature on a graphical interface according to a time series, form a settlement detection feature curve, an enclosure state detection feature curve and a building state detection feature curve, and monitor the change slope of the curve in real time. When the slope change is greater than a preset slope threshold, an alarm signal is generated for alarm.

[0052] Embodiment 2

[0053] Please refer to Figure 2 , and an exemplary soil foundation pit monitoring system based on data analysis includes:

[0054] Data acquisition module: used to acquire the foundation pit state data, enclosure state data and building state data of the soil foundation pit;

[0055] Construction Feature Module: It is used to preprocess the foundation pit status data, retaining structure status data, and building status data, and construct civil engineering foundation pit detection features based on the preprocessed foundation pit status data, retaining structure status data, and building status data. The civil engineering foundation pit detection features include: settlement detection features, retaining structure status detection features, and building status detection features;

[0056] First Warning Module: It is used to perform threshold judgment based on the settlement detection features. When the settlement detection features are greater than the settlement safety threshold, a settlement warning signal is generated for settlement warning;

[0057] Second Warning Module: It is used to perform threshold judgment based on the retaining structure status detection features. When the retaining structure status detection features are greater than the retaining structure status safety threshold, a retaining structure status warning signal is generated for retaining structure status warning;

[0058] Third Warning Module: It is used to perform threshold judgment based on the building status detection features. When the building status detection features are greater than the building status safety threshold, a building status warning signal is generated for building status warning.

[0059] It should be noted that a civil engineering foundation pit monitoring system based on data analysis provided by the above embodiment and a civil engineering foundation pit monitoring method based on data analysis provided by the above embodiment belong to the same concept. The specific ways in which each module and unit perform operations have been described in detail in the method embodiment and will not be elaborated here. In actual application, a civil engineering foundation pit monitoring system based on data analysis provided by the above embodiment can allocate the above functions to different functional modules as needed, that is, divide the internal structure of the system into different functional modules to complete all or part of the functions described above. This is not limited here either.

[0060] The above embodiments can be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented using 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 processes or functions described in the embodiments of the present application are generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by wire (such as infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that contains one or more collections of available media. The available medium can be a magnetic medium (such as a floppy disk, hard disk, or magnetic tape), an optical medium (such as a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state drive.

[0061] It should be understood that the term "and / or" in this document is merely a description of the association relationship between associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist simultaneously, and B exists alone. Here, A and B can be singular or plural. In addition, the character " / " in this document generally represents an "or" relationship between the associated objects before and after, but it may also represent an "and / or" relationship. The specific meaning can be understood by referring to the context.

[0062] In this application, "at least one" means one or more, and "a plurality" means two or more. "At least one of the following" or similar expressions refer to any combination of these items, including any combination of single items or plural items. For example, at least one of a, b, or c can represent: a, b, c, a - b, a - c, b - c, or a - b - c, where a, b, and c can be single or multiple.

[0063] It should be understood that in various embodiments of the present application, the magnitudes of the sequence numbers of the above processes do not mean the order of execution. The order of execution of each process should be determined by its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.

[0064] Those of ordinary skill in the art will recognize that the units and algorithm steps of the examples described in combination with the embodiments disclosed herein can be implemented in electronic hardware, or in a combination of computer software and electronic hardware. Whether these functions are executed in hardware or software depends on the specific application and design constraints of the technical solution. Skilled professionals can use different methods for each specific application to implement the described functions, but such implementation should not be considered to exceed the scope of this application.

[0065] Those skilled in the art can clearly understand that for the sake of 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 foregoing method embodiments and will not be elaborated herein.

[0066] In several embodiments provided in this application, it should be understood that the disclosed systems can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, 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 displayed or discussed couplings or direct couplings or communication connections to each other can be through some interfaces. The indirect couplings or communication connections of the devices or units can be electrical, mechanical, or other forms.

[0067] The units described as separate components may or may not be physically separated. The components displayed as units may or may not be physical units, that is, they can be located in one place, or they can be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0068] In addition, the functional units in each embodiment of this application can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit.

[0069] When the above-mentioned 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 this application, in essence, or the part that contributes to the prior art or a part of this technical solution can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of this application. The foregoing storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical discs that can store program codes.

[0070] The above is only the specific implementation manner of this application, but the protection scope of this application is not limited thereto. Any person skilled in the art within the technical scope disclosed by this application can easily think of changes or substitutions, which should all be covered by the protection scope of this application. Therefore, the protection scope of this application should be subject to the protection scope of the claims.

Claims

1. A civil engineering foundation pit monitoring method based on data analysis, characterized in that: include: Obtain the foundation pit status data, enclosure status data, and building status data of the civil engineering foundation pit; Preprocessing the foundation pit state data, enclosure state data, and building state data, and constructing civil construction foundation pit detection features according to the preprocessed foundation pit state data, enclosure state data, and building state data, wherein the civil construction foundation pit detection features include: settlement detection features, enclosure state detection features, and building state detection features; Performing a threshold judgment according to the settlement detection feature, and generating a settlement warning signal when the settlement detection feature is greater than a settlement safety threshold, and performing a settlement warning; Performing a threshold judgment according to the enclosure state detection feature, when the enclosure state detection feature is greater than the enclosure state safety threshold, generating an enclosure state warning signal, and performing an enclosure state warning; A threshold value is judged according to the building status detection feature, and when the building status detection feature is greater than the building status safety threshold, a building status warning signal is generated to issue a building status warning.

2. A civil engineering foundation pit monitoring method based on data analysis according to claim 1, characterized in that: The foundation pit status data includes foundation pit load, load-bearing area, soil compression modulus, groundwater level, soil porosity and soil shear strength; the enclosure status data includes crown beam displacement, temporary column displacement, building displacement and wall deformation; and the building status data includes building settlement and building inclination.

3. A civil engineering foundation pit monitoring method based on data analysis according to claim 2, characterized in that: The civil engineering foundation pit detection features are constructed according to the pre-processed foundation pit status data, enclosure status data, and building status data, including: Calculating the settlement detection feature according to the foundation pit load, the stress-bearing area, the soil compression modulus, the groundwater level, the soil porosity and the soil shear strength; Calculate the enclosure state detection feature according to the cap beam displacement, the temporary column displacement, the building displacement and the wall deformation; The building state detection feature is calculated based on the building settlement and the building tilt.

4. A civil engineering foundation pit monitoring method based on data analysis according to claim 3, characterized in that: The calculation logic of the settlement detection feature is: Among them, S is the settlement detection characteristic, P is the foundation pit load, A is the foundation pit stress area, E eff is the modified effective compression modulus, n is the soil porosity, τ is the soil shear strength, E eff is the correction factor based on soil shear strength and groundwater level. The calculation logic is: Where E is the soil compression modulus, h is the current groundwater level, H max is the maximum thickness of the soil layer.

5. The method for monitoring a civil engineering foundation pit based on data analysis according to claim 3 is characterized in that: The calculation logic of the enclosure state feature is: Among them, FP is the enclosure state feature, S tb is the crown beam displacement, S tp is the temporary column displacement, S bd is the building displacement, D w Deformation of the wall.

6. A civil engineering foundation pit monitoring method based on data analysis according to claim 3, characterized in that: The calculation logic of the building status characteristics is: building =α1·δ settlement +α2·θ tilt , where S building is the building status characteristic, δ settlement is the building settlement, θ tilt is the building inclination angle, α1 and α2 are different characteristic weight coefficients, and the building settlement δ settlement The computer logic is: Among them, Q building is the total load of the building, A foundation is the building foundation area, f soil is the soil settlement function, E soil is the elastic modulus of soil, k soil is the compression coefficient, L foundation The foundation depth, is the soil porosity, the building inclination angle θ tilt The calculation logic is: Among them, δ settlement (x1) and δ settlement (x2) are the settlements at both ends of the building, L building is the length of the building.

7. A method for monitoring a civil engineering foundation pit based on data analysis according to claim 1, characterized in that: The settlement detection characteristics, enclosure status detection characteristics and building status detection characteristics are displayed on a graphical interface in time series to form settlement detection characteristic curves, enclosure status detection characteristic curves and building status detection characteristic curves, and the slope of the curve changes is monitored in real time. When the slope change is greater than a preset slope threshold, an alarm signal is generated to issue an alarm.

8. A civil engineering foundation pit monitoring system based on data analysis, used to implement a civil engineering foundation pit monitoring method based on data analysis as claimed in any one of claims 1 to 7, characterized in that: include: Data acquisition module: used to obtain the foundation pit status data, enclosure status data, and building status data of the civil engineering foundation pit; A feature construction module is used to pre-process the foundation pit state data, enclosure state data, and building state data, and to construct civil construction foundation pit detection features according to the pre-processed foundation pit state data, enclosure state data, and building state data, wherein the civil construction foundation pit detection features include: settlement detection features, enclosure state detection features, and building state detection features; The first warning module is used to make a threshold judgment according to the settlement detection feature, and when the settlement detection feature is greater than the settlement safety threshold, generate a settlement warning signal to carry out a settlement warning; The second warning module is used to make a threshold judgment according to the enclosure state detection feature, and when the enclosure state detection feature is greater than the enclosure state safety threshold, generate an enclosure state warning signal to issue an enclosure state warning; The third warning module is used to make a threshold judgment based on the building status detection feature, and when the building status detection feature is greater than the building status safety threshold, generate a building status warning signal to issue a building status warning.

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