A foundation pit monitoring system and method based on digital twinning

Abstract

This invention discloses a foundation pit monitoring system and method based on digital twins. The digital twin-based foundation pit monitoring system includes: a digital twin foundation pit construction module, a digital twin foundation pit model, a foundation pit data acquisition module, a digital twin foundation pit data interaction module, a digital twin foundation pit driving module, a digital twin foundation pit monitoring module, and a system management module. The technical solution of this invention achieves three-dimensional visualization management of foundation pits through digital twin technology. It uses a 3D engine library script control to achieve real-time dynamic mapping of the data-driven digital twin foundation pit model to the real engineering foundation pit, realizing virtualized real-time dynamic management. This makes management fast, accurate, and intuitive, reducing the workload of staff. Furthermore, it achieves automated monitoring and automated anomaly detection of foundation pit measurement point data through a self-organizing mapping model.

Description

Technical Field

[0001] This invention belongs to the field of foundation pit monitoring technology, specifically relating to a foundation pit monitoring system and method based on digital twins. Background Technology

[0002] Foundation pits are an integral part of building construction and an ancient yet contemporary geotechnical engineering issue. They represent an effective way to utilize land resources, emerging with the proliferation of high-rise and super high-rise buildings and underground projects. The real-time performance and accuracy of foundation pit data acquisition and monitoring systems have become crucial prerequisites for construction safety and project quality. Real-time feedback and analysis of monitoring information can effectively predict system trends and provide early warnings when potential hazards appear, enabling timely emergency measures.

[0003] Therefore, how to achieve real-time and accurate monitoring of the foundation pit status, and provide graphical and visual monitoring methods to provide rapid and effective early warning of abnormal foundation pit conditions and reduce personnel costs has become an urgent issue to be addressed in this technical field. Summary of the Invention

[0004] This invention provides a foundation pit monitoring system and method based on digital twins, specifically adopting the following technical solution:

[0005] A foundation pit monitoring system based on digital twins includes: a digital twin foundation pit construction module, a digital twin foundation pit model, a foundation pit data acquisition module, a digital twin foundation pit data interaction module, a digital twin foundation pit driving module, a digital twin foundation pit monitoring module, and a system management module;

[0006] The digital twin foundation pit construction module is used to construct the digital twin foundation pit model;

[0007] The foundation pit data acquisition module is used to collect static and dynamic data of the engineering foundation pit;

[0008] The digital twin foundation pit data interaction module is connected to the foundation pit data acquisition module and is used to send a data acquisition request to the foundation pit data acquisition module and receive the static and dynamic data of the engineering foundation pit collected by the foundation pit data acquisition module.

[0009] The digital twin foundation pit driving module is connected to the digital twin foundation pit data interaction module and is used to drive the digital twin foundation pit model according to the static and dynamic data of the engineering foundation pit, so as to realize the real-time mapping between the digital twin foundation pit model and the engineering foundation pit.

[0010] The digital twin foundation pit monitoring module is connected to the digital twin foundation pit model and is used to realize the graphical display of the digital twin foundation pit model and the monitoring of abnormal status.

[0011] The system management module is connected to the digital twin foundation pit monitoring module and is used to implement system management.

[0012] Furthermore, the digital twin foundation pit construction module includes a foundation pit data import unit, a GIS data import unit, a 3D model generation unit, a fusion modeling unit, a lightweight unit, and a digital twin foundation pit export unit;

[0013] The foundation pit data import unit is used to import the structural design data of the engineering foundation pit into the three-dimensional model generation unit. The structural design data of the engineering foundation pit includes the CAD drawings of the engineering foundation pit and the geological survey data corresponding to the CAD drawings of the engineering foundation pit.

[0014] The GIS data import unit is used to import the GIS data of the engineering foundation pit into the three-dimensional model generation unit. The GIS data of the engineering foundation pit includes the GIS geographic location information of the engineering foundation pit and the GIS geographic location information of the surrounding buildings, trees and roads.

[0015] The three-dimensional model generation unit is used to generate a three-dimensional model of the main structure of the engineering foundation pit based on the CAD drawings of the engineering foundation pit, generate a three-dimensional model of the geological structure of the engineering foundation pit based on the geological survey data corresponding to the CAD drawings of the engineering foundation pit, generate a three-dimensional model of the surrounding environment based on the GIS data of the engineering foundation pit, and import the three-dimensional model of the main structure of the engineering foundation pit, the three-dimensional model of the geological structure of the engineering foundation pit, and the three-dimensional model of the surrounding environment into the fusion modeling unit.

[0016] The fusion modeling unit is used to set material information and perform texture mapping on the imported 3D model of the main structure of the engineering foundation pit, the 3D model of the geological structure of the engineering foundation pit, and the 3D model of the surrounding environment. Based on the CAD drawings and GIS data of the engineering foundation pit, the 3D model of the main structure of the engineering foundation pit, the 3D model of the geological structure of the engineering foundation pit, and the 3D model of the surrounding environment are fused and physically rendered to generate a 3D model of the engineering foundation pit. The 3D model of the engineering foundation pit is then imported into the lightweight unit.

[0017] The lightweight unit is used to perform lightweight processing on the three-dimensional model of the engineering foundation pit, and import the lightweight three-dimensional model of the engineering foundation pit into the digital twin foundation pit export unit.

[0018] The digital twin foundation pit export unit is used to export the lightweighted 3D model of the engineering foundation pit as a digital twin foundation pit model that includes object files and layer files and can be viewed by a browser.

[0019] Furthermore, the foundation pit data acquisition module includes a static data unit and a dynamic data acquisition unit;

[0020] The static data acquisition unit is used to collect static data of the foundation pit, including the structural dimensions of the foundation pit and GIS geographic location data;

[0021] The dynamic data acquisition unit is used to collect dynamic data of the foundation pit, including foundation pit slope displacement data, support structure tilt data, support structure stress data, foundation pit settlement data, surrounding environment settlement data, and groundwater level data.

[0022] Furthermore, the foundation pit data acquisition module imports the aforementioned static and dynamic foundation pit data into the digital twin foundation pit data interaction module according to the request of the digital twin foundation pit data interaction module.

[0023] Furthermore, the digital twin foundation pit data interaction module includes an interface server unit and a database unit;

[0024] The interface server unit connects the foundation pit data acquisition module and the digital twin foundation pit driving module, and is used to store the data from the foundation pit data acquisition module into the database unit, and to obtain the data in the database unit and send it to the digital twin foundation pit driving module according to the request of the digital twin foundation pit driving module.

[0025] Furthermore, the digital twin pit driving module includes a data receiving unit, a data analysis unit, and a data output unit;

[0026] The data receiving unit is used to receive data from the digital twin pit data interaction module and send it to the data analysis unit;

[0027] The data analysis unit is used to analyze the data and determine whether animation effect data needs to be output. When animation effect data needs to be output, it sends a driving command to the digital twin pit model to control the digital twin pit model to produce animation effects.

[0028] The data output unit is used to send animation effect data and data from the digital twin foundation pit data interaction module to the digital twin foundation pit monitoring module.

[0029] Furthermore, the digital twin foundation pit monitoring module is used to display the digital twin foundation pit model and its animation effects, and to monitor the data from the digital twin foundation pit data interaction module for anomalies. When an anomaly occurs, an anomaly alarm message is displayed.

[0030] Furthermore, the system management module includes a user management unit and a model management unit;

[0031] The user management unit is used to manage user information, including creating user information, setting user permissions, and modifying or deleting user information;

[0032] The model management unit is used to delete, modify, or highlight each module in the digital twin foundation pit model displayed by the digital twin foundation pit monitoring module.

[0033] This invention also relates to a method for monitoring foundation pits based on digital twins, the method being used in the foundation pit monitoring system based on digital twins as described above, and specifically including the following steps:

[0034] S1. The digital twin foundation pit monitoring module constructs a self-organizing mapping model and trains the model based on the acquired foundation pit slope displacement data, support structure tilt data, support structure stress data, foundation pit settlement data, surrounding environment settlement data, and groundwater level data.

[0035] S2. Use the trained self-organizing map model to monitor the real-time acquired data on foundation pit slope displacement, support structure tilt, support structure stress, foundation pit settlement, surrounding environment settlement, and groundwater level, and obtain abnormal indicators.

[0036] S3. Based on the aforementioned abnormal indicators, determine whether the real-time acquired data on foundation pit slope displacement, support structure tilt, support structure stress, foundation pit settlement, surrounding environment settlement, and groundwater level are abnormal.

[0037] Furthermore, step S1 includes:

[0038] The above-mentioned data on foundation pit slope displacement, support structure tilt, support structure stress, foundation pit settlement, surrounding environment settlement, and groundwater level are normalized to obtain a set of input data x1...x6, each set of input data having n dimensions. The obtained input dataset is represented as follows:

[0039]

[0040] Using the input dataset as training data, the self-organizing map model is trained to determine the weight vectors of the output layer neurons of the self-organizing map model:

[0041] w j =[w j1 w j2 , ..., w jn ], j = 1, 2, ..., J

[0042] Where J is the number of neurons in the output layer;

[0043] Step S2 includes:

[0044] Calculate the maximum offset R between the training data and the target neuron:

[0045]

[0046] Calculate the distance between real-time data and the target neuron:

[0047]

[0048] Where, d i Let s be the distance between the i-th real-time data and the target neuron. i Let i be the i-th real-time data, and

[0049] s i =[x i1 x i2 , ..., x in ]

[0050] Calculate the abnormal index Y i :

[0051] Y i =d i / R;

[0052] Step S3 includes: for the abnormal index Y i When Y i If the value is greater than 0.95, the data is considered abnormal.

[0053] The technical solution of this invention achieves three-dimensional visualization management of foundation pits through digital twin technology. By controlling the data through a 3D engine library scripts, it enables real-time dynamic mapping of the data-driven digital twin foundation pit model to the actual engineering foundation pit, achieving virtualized real-time dynamic management. This makes management fast, accurate, and intuitive, reducing the workload of staff. The technical solution of this invention also achieves automated monitoring and automated anomaly detection of foundation pit measurement point data through a self-organizing mapping model. Attached Figure Description

[0054] Figure 1 This is a schematic diagram of the structure of a foundation pit monitoring system based on digital twins according to the present invention. Detailed Implementation

[0055] The present invention will be further described below with reference to the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solutions of the present invention and should not be construed as limiting the scope of protection of the present invention. It should be noted that the following detailed descriptions are exemplary and intended to provide further explanation of this application.

[0056] Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains. It should be noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the exemplary embodiments according to this application. As used herein, the singular form is intended to include the plural form as well, unless the context clearly indicates otherwise. Furthermore, it should be understood that when the terms “comprising” and / or “including” are used in this specification, they indicate the presence of features, steps, operations, devices, components, and / or combinations thereof.

[0057] Embodiment 1 of the present invention relates to a foundation pit monitoring system based on digital twins, see appendix. Figure 1 As shown, the system includes a digital twin foundation pit construction module, a digital twin foundation pit model, a foundation pit data acquisition module, a digital twin foundation pit data interaction module, a digital twin foundation pit driving module, a digital twin foundation pit monitoring module, and a system management module.

[0058] The digital twin foundation pit construction module is used to construct the digital twin foundation pit model; the foundation pit data acquisition module is used to collect static and dynamic data of the engineering foundation pit; the digital twin foundation pit data interaction module is connected to the foundation pit data acquisition module, and is used to send data acquisition requests to the foundation pit data acquisition module and receive the static and dynamic data of the engineering foundation pit collected by the foundation pit data acquisition module; the digital twin foundation pit driving module is connected to the digital twin foundation pit data interaction module, and is used to drive the digital twin foundation pit model according to the static and dynamic data of the engineering foundation pit, so that the digital twin foundation pit model and the engineering foundation pit achieve real-time mapping of state; the digital twin foundation pit monitoring module is connected to the digital twin foundation pit model, and is used to realize the graphical display of the digital twin foundation pit model and the monitoring of abnormal states; the system management module is connected to the digital twin foundation pit monitoring module, and is used to realize system management.

[0059] The digital twin foundation pit construction module includes a foundation pit data import unit, a GIS data import unit, a 3D model generation unit, a fusion modeling unit, a lightweight unit, and a digital twin foundation pit export unit.

[0060] The foundation pit data import unit is used to import the structural design data of the engineering foundation pit into the three-dimensional model generation unit. The structural design data of the engineering foundation pit includes the CAD drawings of the engineering foundation pit and the geological survey data corresponding to the CAD drawings of the engineering foundation pit.

[0061] The GIS data import unit is used to import the GIS data of the engineering foundation pit into the three-dimensional model generation unit. The GIS data of the engineering foundation pit includes the GIS geographic location information of the engineering foundation pit and the GIS geographic location information of the surrounding buildings, trees and roads.

[0062] The 3D model generation unit is used to generate a 3D model of the main structure of the engineering foundation pit based on the CAD drawings of the engineering foundation pit, generate a 3D model of the geological structure of the engineering foundation pit based on the geological survey data corresponding to the CAD drawings of the engineering foundation pit, and generate a 3D model of the surrounding environment based on the GIS data of the engineering foundation pit. The 3D model generation unit is also used to import the 3D model of the main structure of the engineering foundation pit, the 3D model of the geological structure of the engineering foundation pit, and the 3D model of the surrounding environment into the fusion modeling unit.

[0063] The fusion modeling unit is used to set material information and perform texture mapping on the imported 3D model of the main structure of the engineering foundation pit, the 3D model of the geological structure of the engineering foundation pit, and the 3D model of the surrounding environment. Based on the CAD drawings and GIS data of the engineering foundation pit, the 3D model of the main structure of the engineering foundation pit, the 3D model of the geological structure of the engineering foundation pit, and the 3D model of the surrounding environment are fused and physically rendered to generate a 3D model of the engineering foundation pit. The 3D model of the engineering foundation pit is then imported into the lightweight unit.

[0064] The lightweighting unit is used to perform lightweighting processing on the three-dimensional model of the engineering foundation pit, and import the lightweighted three-dimensional model of the engineering foundation pit into the digital twin foundation pit exporting unit.

[0065] The digital twin foundation pit export unit is used to export the lightweighted 3D model of the engineering foundation pit as a digital twin foundation pit model that includes object files and layer files and can be viewed by a browser.

[0066] The foundation pit data acquisition module includes a static data unit and a dynamic data acquisition unit. The static data acquisition unit collects static data of the foundation pit, including structural dimensions and GIS geographic location data. The dynamic data acquisition unit collects dynamic data of the foundation pit, including slope displacement data, support structure tilt data, support structure stress data, foundation pit settlement data, surrounding environment settlement data, and groundwater level data. The foundation pit data acquisition module imports the aforementioned static and dynamic foundation pit data into the digital twin foundation pit data interaction module according to the request from the digital twin foundation pit data interaction module.

[0067] The digital twin foundation pit data interaction module includes an interface server unit and a database unit. The interface server unit connects the foundation pit data acquisition module and the digital twin foundation pit driving module. The interface server unit is used to store data from the foundation pit data acquisition module into the database unit, and, according to the request of the digital twin foundation pit driving module, retrieve data from the database unit and send it to the digital twin foundation pit driving module.

[0068] The digital twin foundation pit driving module includes a data receiving unit, a data analysis unit, and a data output unit. The data receiving unit receives data from the digital twin foundation pit data interaction module and sends it to the data analysis unit. For example, by establishing a persistent connection between the data receiving unit and the digital twin foundation pit data interaction module, data corresponding to the URL is retrieved in real time using the GET method, and data is extracted from the JSON string based on the object name. The data analysis unit analyzes the data to determine whether animation effect data needs to be output. When animation effect data needs to be output, a driving command is issued to the digital twin foundation pit model to control the model to produce animation effects. For example, when the foundation pit support structure tilts, the data analysis unit analyzes the received data and determines that displacement animation effect data of the foundation pit support structure needs to be output. Then, using, for example, a WebGL engine like three.js, the foundation pit support structure model object is moved from its current position to its new position. The data output unit sends the animation effect data and the data from the digital twin foundation pit data interaction module to the digital twin foundation pit monitoring module.

[0069] The digital twin foundation pit monitoring module is used to display the digital twin foundation pit model and its animation effects, and to monitor the data from the digital twin foundation pit data interaction module for anomalies. When an anomaly occurs, it displays an anomaly alarm message.

[0070] The system management module includes a user management unit and a model management unit. The user management unit manages user information, including creating user information, setting user permissions, and modifying or deleting user information. The model management unit is used to delete, modify, or highlight the various modules in the digital twin foundation pit model displayed by the digital twin foundation pit monitoring module.

[0071] Specific embodiment 2 of the present invention relates to a foundation pit monitoring method based on digital twins. The method is used in the foundation pit monitoring system based on digital twins described in specific embodiment 1, and specifically includes the following steps:

[0072] S1. The digital twin foundation pit monitoring module constructs a self-organizing mapping model and trains the model based on the acquired foundation pit slope displacement data, support structure tilt data, support structure stress data, foundation pit settlement data, surrounding environment settlement data, and groundwater level data.

[0073] The above-mentioned data on foundation pit slope displacement, support structure tilt, support structure stress, foundation pit settlement, surrounding environment settlement, and groundwater level are normalized to obtain a set of input data x1...x6, each set of input data having n dimensions. The obtained input dataset is represented as follows:

[0074]

[0075] Using the input dataset as training data, the self-organizing map model is trained to determine the weight vectors of the output layer neurons of the self-organizing map model:

[0076] w j =[w j1 w j2 , ..., w jn ], j = 1, 2, ..., J

[0077] Where J represents the number of neurons in the output layer.

[0078] S2. Use the trained self-organizing map model to monitor the real-time acquired data on foundation pit slope displacement, support structure tilt, support structure stress, foundation pit settlement, surrounding environment settlement, and groundwater level, and obtain abnormal indicators.

[0079] Calculate the maximum offset R between the training data and the target neuron:

[0080]

[0081] Calculate the distance between real-time data and the target neuron:

[0082]

[0083] Where, d i Let s be the distance between the i-th real-time data and the target neuron. i Let i be the i-th real-time data, and

[0084] s i =[x i1 x i2 , ..., x in ]

[0085] Calculate the abnormal index Y i :

[0086] Y i =d i / R.

[0087] S3. Based on the aforementioned abnormal indicators, determine whether the real-time acquired data on foundation pit slope displacement, support structure tilt, support structure stress, foundation pit settlement, surrounding environment settlement, and groundwater level are abnormal.

[0088] Specifically, for the abnormal indicator Y i When Y i If the value is greater than 0.95, the data is considered abnormal.

[0089] The above description is merely a preferred embodiment of the present invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the technical principles of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A digital-twin-based foundation pit monitoring method, the method being for a digital-twin-based foundation pit monitoring system, the digital-twin-based foundation pit monitoring system comprising: The system includes a digital twin foundation pit construction module, a digital twin foundation pit model, a foundation pit data acquisition module, a digital twin foundation pit data interaction module, a digital twin foundation pit driving module, a digital twin foundation pit monitoring module, and a system management module. The digital twin foundation pit construction module is used to construct the digital twin foundation pit model; The foundation pit data acquisition module is used to collect static and dynamic data of the engineering foundation pit; The digital twin foundation pit data interaction module is connected to the foundation pit data acquisition module and is used to send a data acquisition request to the foundation pit data acquisition module and receive the static and dynamic data of the engineering foundation pit collected by the foundation pit data acquisition module. The digital twin foundation pit driving module is connected to the digital twin foundation pit data interaction module and is used to drive the digital twin foundation pit model according to the static and dynamic data of the engineering foundation pit, so as to realize the real-time mapping between the digital twin foundation pit model and the engineering foundation pit. The digital twin foundation pit monitoring module is connected to the digital twin foundation pit model and is used to realize the graphical display of the digital twin foundation pit model and the monitoring of abnormal status. The system management module is connected to the digital twin foundation pit monitoring module and is used to realize system management; The method is characterized by comprising the following steps: S1. The digital twin foundation pit monitoring module constructs a self-organizing mapping model and trains the model based on the acquired foundation pit slope displacement data, support structure tilt data, support structure stress data, foundation pit settlement data, surrounding environment settlement data, and groundwater level data; including: The pit slope displacement data, the support structure inclination data, the support structure stress data, the pit settlement data, the surrounding environment settlement data and the underground water level data are normalized to obtain a set of input data … Each group of input data has n dimensions, and the obtained input data set is represented as: ； Using the input dataset as training data, the self-organizing map model is trained to determine the weight vectors of the output layer neurons of the self-organizing map model: ； Where J is the number of neurons in the output layer; S2. Use the trained self-organizing map model to monitor real-time acquired data on foundation pit slope displacement, support structure tilt, support structure stress, foundation pit settlement, surrounding environment settlement, and groundwater level, and obtain abnormal indicators, including: Calculate the maximum offset R between the training data and the target neuron: ； Calculate the distance between real-time data and the target neuron: ； in, Let be the distance between the i-th real-time data and the target neuron. Let i be the i-th real-time data, and ； Calculate abnormal indicators : ； S3. Based on the aforementioned abnormal indicators, determine whether the real-time acquired data on foundation pit slope displacement, support structure tilt, support structure stress, foundation pit settlement, surrounding environment settlement, and groundwater level are abnormal; including: for abnormal indicators ,when When this happens, it is determined that the data is abnormal.

2. The foundation pit monitoring method based on digital twins according to claim 1, characterized in that, The digital twin foundation pit construction module includes a foundation pit data import unit, a GIS data import unit, a 3D model generation unit, a fusion modeling unit, a lightweight unit, and a digital twin foundation pit export unit. The foundation pit data import unit is used to import the structural design data of the engineering foundation pit into the three-dimensional model generation unit. The structural design data of the engineering foundation pit includes the CAD drawings of the engineering foundation pit and the geological survey data corresponding to the CAD drawings of the engineering foundation pit. The GIS data import unit is used to import the GIS data of the engineering foundation pit into the three-dimensional model generation unit. The GIS data of the engineering foundation pit includes the GIS geographic location information of the engineering foundation pit and the GIS geographic location information of the surrounding buildings, trees and roads. The three-dimensional model generation unit is used to generate a three-dimensional model of the main structure of the engineering foundation pit based on the CAD drawings of the engineering foundation pit, generate a three-dimensional model of the geological structure of the engineering foundation pit based on the geological survey data corresponding to the CAD drawings of the engineering foundation pit, generate a three-dimensional model of the surrounding environment based on the GIS data of the engineering foundation pit, and import the three-dimensional model of the main structure of the engineering foundation pit, the three-dimensional model of the geological structure of the engineering foundation pit, and the three-dimensional model of the surrounding environment into the fusion modeling unit. The fusion modeling unit is used to set material information and perform texture mapping on the imported 3D model of the main structure of the engineering foundation pit, the 3D model of the geological structure of the engineering foundation pit, and the 3D model of the surrounding environment. Based on the CAD drawings and GIS data of the engineering foundation pit, the 3D model of the main structure of the engineering foundation pit, the 3D model of the geological structure of the engineering foundation pit, and the 3D model of the surrounding environment are fused and physically rendered to generate a 3D model of the engineering foundation pit. The 3D model of the engineering foundation pit is then imported into the lightweight unit. The lightweight unit is used to perform lightweight processing on the three-dimensional model of the engineering foundation pit, and import the lightweight three-dimensional model of the engineering foundation pit into the digital twin foundation pit export unit. The digital twin foundation pit export unit is used to export the lightweighted 3D model of the engineering foundation pit as a digital twin foundation pit model that includes object files and layer files and can be viewed by a browser.

3. The foundation pit monitoring method based on digital twins according to claim 1, characterized in that, The foundation pit data acquisition module includes a static data unit and a dynamic data acquisition unit; The static data acquisition unit is used to collect static data of the foundation pit, including the structural dimensions of the foundation pit and GIS geographic location data; The dynamic data acquisition unit is used to collect dynamic data of the foundation pit, including foundation pit slope displacement data, support structure tilt data, support structure stress data, foundation pit settlement data, surrounding environment settlement data, and groundwater level data.

4. The foundation pit monitoring method based on digital twins according to claim 1, characterized in that, The foundation pit data acquisition module imports the aforementioned static and dynamic foundation pit data into the digital twin foundation pit data interaction module according to the request of the digital twin foundation pit data interaction module.

5. The foundation pit monitoring method based on digital twins according to claim 1, characterized in that, The digital twin foundation pit data interaction module includes an interface server unit and a database unit; The interface server unit connects the foundation pit data acquisition module and the digital twin foundation pit driving module, and is used to store the data from the foundation pit data acquisition module into the database unit, and to obtain the data in the database unit and send it to the digital twin foundation pit driving module according to the request of the digital twin foundation pit driving module.

6. The foundation pit monitoring method based on digital twins according to claim 1, characterized in that, The digital twin pit driving module includes a data receiving unit, a data analysis unit, and a data output unit; The data receiving unit is used to receive data from the digital twin pit data interaction module and send it to the data analysis unit; The data analysis unit is used to analyze the data and determine whether animation effect data needs to be output. When animation effect data needs to be output, it sends a driving command to the digital twin foundation pit model to control the digital twin foundation pit model to produce animation effects. The data output unit is used to send animation effect data and data from the digital twin foundation pit data interaction module to the digital twin foundation pit monitoring module.

7. The foundation pit monitoring method based on digital twin according to claim 1, characterized in that, The digital twin foundation pit monitoring module is used to display the digital twin foundation pit model and its animation effects, and to monitor the data from the digital twin foundation pit data interaction module for anomalies. When an anomaly occurs, it displays an anomaly alarm message.

8. The foundation pit monitoring method based on digital twins according to claim 1, characterized in that, The system management module includes a user management unit and a model management unit; The user management unit is used to manage user information, including creating user information, setting user permissions, and modifying or deleting user information; The model management unit is used to delete, modify, or highlight each module in the digital twin foundation pit model displayed by the digital twin foundation pit monitoring module.

Images