A method and system for monitoring the removal of a foundation pit support based on targeted analysis

Abstract

This invention discloses a method and system for monitoring the demolition of foundation pit supports based on targeted analysis, belonging to the field of data analysis technology. It constructs a targeted three-dimensional model of the foundation pit support system using a BIM model, focusing on key support components and high-risk targeted monitoring points, and deploying multi-directional stress sensors. It generates an initialized simulated monitoring sample set and a real-time monitoring sample set, achieving a comparison of the "theoretical-actual" demolition sequence. It retrieves and coordinates the initialized and real-time stress data clusters, assessing the compliance with expected construction specifications through dual-target requirement compliance (sample set matching degree, stress data difference). If non-compliance is found, a precise early warning is triggered according to the stress deviation weight. This invention solves the problems of poor targeting, delayed feedback, and coarse early warning in traditional monitoring methods, improving the safety and controllability of the foundation pit demolition process, and is applicable to demolition projects of deep foundation pits and complex support systems.

Description

Technical Field

[0001] This invention relates to the field of data analysis technology, specifically to a method and system for monitoring the removal of foundation pit supports based on targeted analysis. Background Technology

[0002] In foundation pit engineering (especially deep foundation pits and projects with complex surrounding environments), the removal of the support system is a core step in determining structural safety. The order in which the support components are removed directly affects the stress redistribution of the foundation pit retaining structure. If the removal order is deviated or stress is concentrated, it can easily lead to deformation of the retaining wall, heave of the pit bottom, or even collapse accidents. Specifically, this includes:

[0003] Traditional monitoring adopts the "comprehensive deployment + manual inspection" model, which monitors all supporting components equally, without focusing on key components such as main supports and corner supports, as well as high-risk areas such as the external corners of the foundation pit and deep excavation areas. This results in data redundancy, obscuring information on key risk points, and making it difficult for on-site personnel to quickly locate problems.

[0004] Some technologies rely solely on BIM models for demolition simulation or only collect real-time stress data, but fail to establish a dynamic comparison mechanism between "simulated data and real-time data". For example, when the actual demolition sequence deviates from the preset sequence, manual comparison of the simulation plan and the on-site records is required, which is time-consuming and cannot correct the deviation in a timely manner.

[0005] Existing stress sensors mostly collect load-bearing capacity data in the vertical or single horizontal direction, ignoring the synergistic effect of stress on supporting components in multiple directions (such as horizontal radial and circumferential directions), and do not consider the stress influence weight of different monitoring points (such as the stress deviation of the external corner monitoring point has an impact on the overall structure that is 2-3 times that of ordinary points), resulting in frequent false alarms; moreover, the warnings are not prioritized, making it difficult for on-site personnel to quickly determine the key points for handling. Summary of the Invention

[0006] The purpose of this invention is to provide a method and system for monitoring the removal of foundation pit supports based on targeted analysis, so as to solve the problems mentioned in the background art.

[0007] To solve the above-mentioned technical problems, the present invention provides the following technical solution:

[0008] A monitoring system for the removal of foundation pit supports based on targeted analysis. The system includes: a targeted model construction and initialization module, a monitoring sample set generation module, a stress data cluster processing module, a targeted compliance assessment and early warning module, and a back-end interaction module.

[0009] The targeted model construction and initialization module is used to construct a targeted 3D model based on the BIM model, complete the marking of key support components and targeted monitoring points and the deployment of sensors, and initialize the demolition sequence.

[0010] The monitoring sample set generation module is used to generate an initial simulated monitoring sample set and a real-time monitoring sample set;

[0011] The stress data cluster processing module is used to retrieve the initial target stress data cluster and coordinate the real-time target stress data cluster.

[0012] The target compliance assessment and early warning module is used to quantify the compliance of the two types of target requirements, and to judge and trigger an early warning based on the threshold.

[0013] The backend interaction module is used to receive monitoring data, display the early warning list, and support user viewing and operation.

[0014] As a preferred embodiment of the present invention, the target model construction and initialization module includes a BIM model import unit, a target marking unit, a sensor configuration unit, and a demolition sequence initialization unit;

[0015] The BIM model import unit is used to import the BIM model of the foundation pit project and extract the structural parameters of the support system;

[0016] The target marking unit is used to screen and mark target monitoring points for key support components and high-risk areas in the support system model;

[0017] The sensor configuration unit is used to configure a target monitoring sensor for each target monitoring point according to the stress direction and set the data acquisition frequency.

[0018] The demolition sequence initialization unit is used to initialize the demolition sequence according to the foundation pit construction specifications, simulate the demolition process, and mark the key support components and target monitoring points of the corresponding demolition stage.

[0019] As a preferred embodiment of the present invention, the monitoring sample set generation module includes a simulated sample generation unit, a synchronous acquisition control unit, and a real-time sample integration unit.

[0020] The simulation sample generation unit is used to generate an initial simulation monitoring sample set corresponding to the demolition process of adjacent target monitoring points according to the initial demolition sequence, and record the number and demolition sequence of key support components in the sample set.

[0021] The synchronous acquisition control unit is used to send synchronous acquisition commands to the sensors at each target monitoring point to ensure the consistency of data acquisition time between adjacent steps.

[0022] The real-time sample integration unit is used to receive on-site construction records, coordinate the key support components that have been dismantled within the gap between adjacent steps, and integrate them to generate a real-time monitoring sample set for the corresponding step.

[0023] As a preferred embodiment of the present invention, the stress data cluster processing module includes an initialization data retrieval unit, a real-time data coordination unit, and a data storage unit;

[0024] The initialization data retrieval unit is used to retrieve the initialization target stress data clusters corresponding to each target monitoring point from the simulation database.

[0025] The real-time data coordination unit is used to receive real-time stress data uploaded by each sensor via wireless transmission, classify it according to demolition steps and monitoring points, and form real-time targeted stress data clusters.

[0026] The data storage unit is used to store initialization and real-time stress data clusters using a time-series database and to establish an index to support rapid retrieval by step and monitoring point.

[0027] As a preferred embodiment of the present invention, the target conformity assessment and early warning module includes a first conformity assessment unit, a second conformity assessment unit, a threshold judgment unit, and an early warning generation unit;

[0028] The first compliance assessment unit is used to calculate the intersection ratio between the initial simulated monitoring sample set and the real-time monitoring sample set to obtain the first target requirement compliance.

[0029] The second compliance assessment unit is used to calculate the stress deviation weight of each target monitoring point and calculate the compliance of the second target requirement in combination with the differences in stress data clusters;

[0030] The threshold judgment unit is used to compare the two types of conformity with preset first and second target thresholds respectively, and output the judgment result.

[0031] The warning generation unit is used to trigger a targeted warning when the judgment result is "not satisfied", generate a list of prompts by sorting them from largest to smallest according to the stress deviation weight, and provide a pop-up prompt through the backend interaction module.

[0032] A method for monitoring the removal of foundation pit supports based on targeted analysis, comprising the following steps:

[0033] Step S1: Construct a targeted 3D model of the foundation pit support system based on the BIM model of the foundation pit project. Mark key support components and target monitoring points in the model. Deploy monitoring sensors at each target monitoring point to collect bearing capacity data in different stress directions. Initialize the dismantling sequence of key support components and simulate the marking of key support components and target monitoring points during the dismantling process.

[0034] Step S2: Generate an initial simulation monitoring sample set according to the initial dismantling order, and send synchronous acquisition instructions to the monitoring sensors. Coordinate the key support components that have been dismantled during the dismantling process of adjacent target monitoring points to generate a real-time monitoring sample set.

[0035] Step S3: Retrieve the initial target stress data clusters of each target monitoring point under the simulation state, and coordinate the real-time target stress data clusters of each target monitoring point under the real-time dismantling steps;

[0036] Step S4: Evaluate the compliance of the first target requirement of the current demolition sequence based on the initial simulation monitoring sample set and the real-time monitoring sample set. Determine whether the real-time construction sequence meets the requirements based on the preset first target threshold. If it does not meet the requirements, evaluate the compliance of the second target requirement based on the initial target stress data cluster and the real-time target stress data cluster. Determine whether to trigger a target warning based on the preset second target threshold. If a warning is triggered, generate a list of prompts by sorting the stress deviation weights.

[0037] As a preferred embodiment of the present invention, the specific implementation process of step S1 includes:

[0038] In the targeted three-dimensional model of the foundation pit support system established based on the foundation pit engineering BIM model, key support components and targeted monitoring points are marked. Several targeted monitoring sensors are deployed at each targeted monitoring point. The targeted monitoring sensors are used to collect the targeted stress data cluster at the targeted monitoring point. The targeted stress data cluster consists of the bearing capacity values ​​in different stress directions with unified initialization and configuration, and one targeted monitoring sensor is deployed in each stress direction.

[0039] Initialize the dismantling sequence of critical support components, and under the initialized dismantling sequence, simulate the dismantling of the i-th critical support component, denoting the i-th critical support component as... When the simulated demolition reaches the j-th target monitoring point, the j-th target monitoring point is denoted as... .

[0040] As a preferred embodiment of the present invention, the specific implementation process of step S2 includes:

[0041] Based on the initial dismantling sequence, an initial simulation monitoring sample set is generated, denoted as . ,in, This represents the (j-1)th target monitoring point. Let I represent the initial simulated monitoring sample set consisting of the key support components simulated during the process from the (j-1)th target monitoring point to the jth target monitoring point, where I represents the total number of key support components;

[0042] Synchronous acquisition commands are set for the target monitoring sensors to coordinate the removal of key support components that have been dismantled during the removal process of adjacent target monitoring points within the interval between every two adjacent steps, and a real-time monitoring sample set is generated, denoted as... ,in, This indicates that the real-time monitoring sample set generated during the initialization of the simulated monitoring sample set within the t-th step interval is initialized.

[0043] As a preferred embodiment of the present invention, the specific implementation process of step S3 includes:

[0044] Retrieve the initial target stress data clusters generated in the simulation at each target monitoring point, denoted as... ,in, Indicates targeted monitoring points The corresponding generated initial target stress data cluster;

[0045] The cluster of real-time target stress data collected synchronously at each target monitoring point during the t-th step is denoted as [missing information]. ,and Indicates initialization of the target stress data cluster The real-time target stress data cluster generated at the t-th step.

[0046] As a preferred embodiment of the present invention, the specific implementation process of step S4 includes:

[0047] Based on the initial simulation monitoring sample set and the real-time monitoring sample set, the compliance of the first target requirement under the initial demolition sequence was evaluated. In the formula, This indicates the degree of compliance with the first target requirement under the initial dismantling sequence during the t-th step interval. This represents the set of coded sequences formed by the target monitoring points participating in dismantling monitoring during the t-th step interval. Represents a set of encoded sequences The total number of target monitoring points included. Indicates the initialization of the simulated monitoring sample set. The total number of key support components included Indicates the initialization of the simulated monitoring sample set. With real-time monitoring sample set The total number of critical support components contained in the intersection set;

[0048] A preset first target threshold is set; if the first target requirement is met... If the value is greater than or equal to the first target threshold, then the real-time construction sequence within the t-th step interval is evaluated to meet the initial demolition sequence requirements; otherwise, it is determined that the real-time construction sequence within the t-th step interval does not meet the initial demolition sequence requirements.

[0049] If the real-time construction sequence does not meet the initial demolition sequence requirements, then the second target requirement compliance assessment instruction under the initial demolition sequence will be triggered:

[0050] Based on the initial target stress data cluster and the real-time target stress data cluster, the compliance of the second target requirement under the initial removal sequence is evaluated. In the formula, This indicates the degree of compliance with the second target requirement under the initial dismantling sequence at the t-th step. Indicates targeted monitoring points The stress deviation weight at the location, and , Indicates targeted monitoring points The load-bearing capacity deviation value fed back by the x-th target monitoring sensor, where y represents the target monitoring point. The total number of targeted monitoring sensors deployed at the location, and , Indicates initialization of the target stress data cluster The initial load-bearing capacity value fed back by the x-th target monitoring sensor. Represents a cluster of real-time targeted stress data The real-time load-bearing capacity value fed back by the x-th target monitoring sensor;

[0051] A second target threshold is preset; if the second target requirement under the initial removal sequence is met... If the value is less than or equal to the second target threshold, a target warning notification is triggered and sent to the backend, based on the stress deviation weight. The list of prompts is generated in descending order for real-time display on the backend.

[0052] Compared with the prior art, the beneficial effects achieved by the present invention are:

[0053] Based on the BIM model of the foundation pit project, only key supporting components (accounting for 30%-50% of the total number of components, such as main supports and corner supports) and high-risk targeted monitoring points (selected according to "excavation depth > 15m, distance from retaining wall < 3m, and external corner area") are marked to avoid redundancy in comprehensive deployment; at the same time, 3-4 multi-directional sensors (vertical, horizontal radial, and horizontal circumferential) are deployed at each monitoring point to ensure complete stress data dimensions and cover the main stress directions of the supporting components;

[0054] The demolition sequence is initialized according to the foundation pit construction specifications (such as the Technical Specification for Foundation Pit Support of Buildings JGJ120), and an initial simulation monitoring sample set of the "theoretical demolition path" is generated (recording the key components involved in the demolition process of adjacent monitoring points); real-time data is collected by synchronous control sensors and combined with on-site construction records to generate a real-time monitoring sample set of the "actual demolition path", realizing step-by-step comparison of the "simulation-real-time" sample sets; at the same time, the initial stress data cluster and the real-time stress data cluster under the simulation state are retrieved to establish a data linkage relationship, providing a basis for subsequent evaluation;

[0055] The first level of assessment (compliance with the first target requirement) focuses on "compliance of the demolition sequence": by calculating the intersection ratio between the simulation and the real-time sample set (i.e., the proportion of key components actually demolished that are consistent with the simulation), it determines whether the demolition sequence deviates from the preset plan; the second level of assessment (compliance with the second target requirement) focuses on "stress state safety": by calculating the stress deviation weight of each monitoring point (reflecting the degree of influence of stress fluctuations at that point on the overall structure, the larger the weight, the more significant the influence), combined with the differences in stress data clusters (the deviation between the initial and real-time bearing capacity values), it assesses whether the stress on the supporting components is abnormal; if the first compliance does not meet the threshold, the second compliance is then assessed; if the second compliance still does not meet the threshold, an early warning list is generated according to the stress deviation weight from large to small, prioritizing high-impact monitoring points (such as the external corner monitoring point) to avoid false alarms and disorderly handling. Attached Figure Description

[0056] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used together with the embodiments of the invention to explain the invention and do not constitute a limitation thereof.

[0057] Figure 1 This is a schematic diagram illustrating the steps of a foundation pit support removal monitoring method based on targeted analysis according to the present invention. Detailed Implementation

[0058] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0059] In this first embodiment: a monitoring system for the removal of foundation pit support based on target analysis is provided. The system includes: a target model construction and initialization module, a monitoring sample set generation module, a stress data cluster processing module, a target compliance assessment and early warning module, and a back-end interaction module.

[0060] The targeted model construction and initialization module is used to construct a targeted 3D model based on the BIM model, complete the marking of key support components and targeted monitoring points, the deployment of sensors, and initialize the demolition sequence.

[0061] The targeted model construction and initialization module includes a BIM model import unit, a targeted marking unit, a sensor configuration unit, and a demolition sequence initialization unit.

[0062] The BIM model import unit is used to import the BIM model of the foundation pit project and extract the structural parameters of the support system.

[0063] Targeted marking units are used to screen and mark targeted monitoring points for key support components and high-risk areas in the support system model;

[0064] The sensor configuration unit is used to configure target monitoring sensors for each target monitoring point according to the stress direction and set the data acquisition frequency.

[0065] The demolition sequence initialization unit is used to initialize the demolition sequence according to the foundation pit construction specifications, simulate the demolition process, and mark the key support components and target monitoring points of the corresponding demolition stage.

[0066] The monitoring sample set generation module is used to generate the initial simulated monitoring sample set and the real-time monitoring sample set;

[0067] The monitoring sample set generation module includes a simulated sample generation unit, a synchronous acquisition and control unit, and a real-time sample integration unit.

[0068] The simulation sample generation unit is used to generate an initial simulation monitoring sample set corresponding to the demolition process of adjacent target monitoring points according to the initial demolition sequence, and record the number and demolition sequence of key support components in the sample set.

[0069] The synchronous acquisition control unit is used to send synchronous acquisition commands to the sensors at each target monitoring point to ensure the consistency of data acquisition time between adjacent steps;

[0070] The real-time sample integration unit is used to receive on-site construction records, coordinate the key support components that have been dismantled within the gap between adjacent steps, and integrate them to generate the real-time monitoring sample set for the corresponding step.

[0071] The stress data cluster processing module is used to retrieve the initial target stress data cluster and coordinate the real-time target stress data cluster.

[0072] The stress data cluster processing module includes an initialization data retrieval unit, a real-time data coordination unit, and a data storage unit.

[0073] The initialization data retrieval unit is used to retrieve the initialization target stress data clusters corresponding to each target monitoring point from the simulation database.

[0074] The real-time data coordination unit is used to receive real-time stress data uploaded by various sensors via wireless transmission, classify it according to demolition steps and monitoring points, and form real-time targeted stress data clusters.

[0075] The data storage unit is used to store the initial and real-time stress data clusters using a time-series database and to establish an index to support rapid retrieval by step and monitoring point.

[0076] The target compliance assessment and early warning module is used to quantify the compliance of two types of target requirements, and to judge and trigger early warnings based on thresholds.

[0077] The target compliance assessment and early warning module includes a first compliance assessment unit, a second compliance assessment unit, a threshold judgment unit, and an early warning generation unit.

[0078] The first compliance assessment unit is used to calculate the intersection ratio between the initial simulated monitoring sample set and the real-time monitoring sample set to obtain the first target requirement compliance.

[0079] The second compliance assessment unit is used to calculate the stress deviation weight of each target monitoring point and calculate the compliance of the second target requirement by combining the differences in stress data clusters.

[0080] The threshold judgment unit is used to compare the two types of compliance with the preset first and second target thresholds respectively, and output the judgment result.

[0081] The early warning generation unit is used to trigger a targeted early warning when the judgment result is "not satisfied". It generates a list of prompts by sorting the stress deviation weights from largest to smallest and provides pop-up prompts through the backend interaction module.

[0082] The backend interaction module is used to receive monitoring data, display the early warning list, and support users to view and operate it.

[0083] Please see Figure 1 In this second embodiment, a monitoring method for the removal of foundation pit supports based on targeted analysis is provided, applicable to the first embodiment above. This embodiment takes a deep foundation pit project supporting a certain urban rail transit line 10 as the implementation scenario. The foundation pit is a rectangular foundation pit with an excavation depth of 18m, a length of 120m, and a width of 35m. It adopts a support system of "drilled cast-in-place piles + three layers of reinforced concrete internal supports", with a total of 120 support components (36 main supports, 48 ​​secondary supports, and 36 corner supports). There are 3 existing buildings (2-3 story brick-concrete structures) within 50m of the perimeter. The foundation pit is sensitive to deformation, and the safety of the support removal process needs to be strictly controlled.

[0084] The BIM model parameters were established using Revit, such as the material of the supporting components being C35 concrete, the main support section being 800×1000mm, and the secondary support section being 600×800mm; key components and monitoring points: 48 key supporting components (36 main supports + 12 corner supports), and 12 targeted monitoring points (2 at the external corner of each support + 1 at the midpoint, for a total of 3 lines × 4); sensor configuration: vibrating wire stress sensors were used, with 3 sensors deployed at each monitoring point (vertical, horizontal radial, and horizontal circumferential), and a data acquisition frequency of 1 time / 5 minutes; demolition sequence initialization followed the principle of "secondary supports first, then main supports; middle first, then both sides," with demolition in 6 steps, each step removing 8 components; target threshold settings: the first target threshold was 85% (sequence deviation not exceeding 15%), and the second target threshold was 0.15 (stress deviation weight upper limit 0.15).

[0085] The method includes the following steps:

[0086] Step S1: Construct a targeted 3D model of the foundation pit support system based on the BIM model of the foundation pit project. Mark key support components and target monitoring points in the model. Deploy monitoring sensors at each target monitoring point to collect bearing capacity data in different stress directions. Initialize the dismantling sequence of key support components and simulate the marking of key support components and target monitoring points during the dismantling process.

[0087] For example, key support components and target monitoring points are marked in the targeted three-dimensional model of the foundation pit support system established based on the foundation pit engineering BIM model. Several target monitoring sensors are deployed at each target monitoring point. The target monitoring sensors are used to collect the target stress data cluster at the target monitoring point. The target stress data cluster consists of the bearing capacity values ​​in different stress directions with a uniform initial configuration, and one target monitoring sensor is deployed in each stress direction.

[0088] Initialize the dismantling sequence of critical support components, and under the initialized dismantling sequence, simulate the dismantling of the i-th critical support component, denoting the i-th critical support component as... When the simulated demolition reaches the j-th target monitoring point, the j-th target monitoring point is denoted as... ;

[0089] For example, the BIM model import unit of the foundation pit import system extracts the structural parameters of the support structure (such as the main support length of 25m and the cross-section of 800×1000mm); the target marking unit selects and marks 48 key support components (36 main supports and 12 corner supports) and 12 target monitoring points (such as "the northeast corner of the first support" and "the midpoint of the second support"); the sensor configuration unit deploys 3 vibrating wire sensors for each monitoring point (vertical monitoring of axial force of the component, horizontal radial monitoring of lateral force, and horizontal circumferential monitoring of torque), and sets the acquisition frequency to 1 time / 5 minutes; the demolition sequence initialization unit initializes the demolition sequence according to "secondary supports first, then main supports", and when the demolition reaches the 10th component (main support number M8), the corresponding 3rd monitoring point ("the northwest corner of the first support") is marked.

[0090] Step S2: Generate an initial simulation monitoring sample set according to the initial dismantling order, and send synchronous acquisition instructions to the monitoring sensors. Coordinate the key support components that have been dismantled during the dismantling process of adjacent target monitoring points to generate a real-time monitoring sample set.

[0091] For example, based on the initial demolition sequence, an initial simulation monitoring sample set is generated, denoted as... ,in, This represents the (j-1)th target monitoring point. Let I represent the initial simulated monitoring sample set consisting of the key support components simulated during the process from the (j-1)th target monitoring point to the jth target monitoring point, where I represents the total number of key support components;

[0092] Synchronous acquisition commands are set for the target monitoring sensors to coordinate the removal of key support components that have been dismantled during the removal process of adjacent target monitoring points within the interval between every two adjacent steps, and a real-time monitoring sample set is generated, denoted as... ,in, This indicates that the real-time monitoring sample set generated during the initialization of the simulated monitoring sample set in the t-th step interval is represented;

[0093] For example, the simulation sample generation unit generates an initialization simulation monitoring sample set M(CD2, CD3) for the demolition process of the 2nd-3rd monitoring points ("the first support southwest corner to northwest corner") according to the initialization sequence, which includes 8 key components (such as secondary supports C1-C4 and main supports M7-M8); the synchronous acquisition control unit sends synchronous acquisition instructions to 36 sensors at 12 monitoring points to ensure that the data acquisition time difference in the second step interval (demolition of the 9th-16th components) is less than 10 seconds; the real-time sample integration unit receives the on-site construction records (the actual demolished components are secondary supports C1-C3 and main supports M7-M9) and generates a real-time monitoring sample set M2(CD2, CD3), which includes 7 components.

[0094] Step S3: Retrieve the initial target stress data clusters of each target monitoring point under the simulation state, and coordinate the real-time target stress data clusters of each target monitoring point under the real-time dismantling steps;

[0095] For example, the initial target stress data clusters at each target monitoring point generated by the simulation are retrieved, denoted as... ,in, Indicates targeted monitoring points The corresponding generated initial target stress data cluster;

[0096] The cluster of real-time target stress data collected synchronously at each target monitoring point during the t-th step is denoted as [missing information]. ,and Indicates initialization of the target stress data cluster The real-time target stress data cluster generated at the t-th step;

[0097] For example, the initialization data retrieval unit retrieves the initialization target stress data cluster N (CD3) of the third monitoring point (CD3) from the database: vertical bearing capacity 2800kN, horizontal radial force 800kN, and horizontal circumferential torque 120kN·m; the real-time data coordination unit receives the data from the three sensors of CD3 within the second step gap, forming the real-time target stress data cluster N2 (CD3): vertical bearing capacity 2750kN, horizontal radial force 780kN, and horizontal circumferential torque 115kN·m; the data storage unit stores the two types of data clusters into InfluxDB, establishes an index of "step 2 - monitoring point 3", and the retrieval response time is <1 second.

[0098] Step S4: Based on the initial simulation monitoring sample set and the real-time monitoring sample set, evaluate the first target requirement compliance of the current demolition sequence. Determine whether the real-time construction sequence meets the requirements according to the preset first target threshold. If it does not meet the requirements, evaluate the second target requirement compliance based on the initial target stress data cluster and the real-time target stress data cluster. Combine the preset second target threshold to determine whether a target warning is triggered. If a warning is triggered, generate a list of prompts by sorting according to the stress deviation weight.

[0099] For example, based on the initial simulated monitoring sample set and the real-time monitoring sample set, the compliance of the first target requirement under the initial demolition sequence is evaluated. In the formula, This indicates the degree of compliance with the first target requirement under the initial dismantling sequence during the t-th step interval. This represents the set of coded sequences formed by the target monitoring points participating in dismantling monitoring during the t-th step interval. Represents a set of encoded sequences The total number of target monitoring points included. Indicates the initialization of the simulated monitoring sample set. The total number of key support components included Indicates the initialization of the simulated monitoring sample set. With real-time monitoring sample set The total number of critical support components contained in the intersection set;

[0100] A preset first target threshold is set; if the first target requirement is met... If the value is greater than or equal to the first target threshold, then the real-time construction sequence within the t-th step interval is evaluated to meet the initial demolition sequence requirements; otherwise, it is determined that the real-time construction sequence within the t-th step interval does not meet the initial demolition sequence requirements.

[0101] If the real-time construction sequence does not meet the initial demolition sequence requirements, then the second target requirement compliance assessment instruction under the initial demolition sequence will be triggered:

[0102] Based on the initial target stress data cluster and the real-time target stress data cluster, the compliance of the second target requirement under the initial removal sequence is evaluated. In the formula, This indicates the degree of compliance with the second target requirement under the initial dismantling sequence at the t-th step. Indicates targeted monitoring points The stress deviation weight at the location, and , Indicates targeted monitoring points The load-bearing capacity deviation value fed back by the x-th target monitoring sensor, where y represents the target monitoring point. The total number of targeted monitoring sensors deployed at the location, and , Indicates initialization of the target stress data cluster The initial load-bearing capacity value fed back by the x-th target monitoring sensor. Represents a cluster of real-time targeted stress data The real-time load-bearing capacity value fed back by the x-th target monitoring sensor;

[0103] A second target threshold is preset; if the second target requirement under the initial removal sequence is met... If the value is less than or equal to the second target threshold, a target warning notification is triggered and sent to the backend, based on the stress deviation weight. The list of prompts is generated in descending order for real-time display on the backend.

[0104] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0105] Finally, it should be noted that the above descriptions are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for monitoring the removal of a foundation pit support based on targeted analysis, characterized by, The method includes the following steps: Step S1: Construct a targeted 3D model of the foundation pit support system based on the BIM model of the foundation pit project. Mark key support components and target monitoring points in the model. Deploy monitoring sensors at each target monitoring point to collect bearing capacity data in different stress directions. Initialize the dismantling sequence of key support components and simulate the marking of key support components and target monitoring points during the dismantling process. Step S2: Generate an initial simulation monitoring sample set according to the initial dismantling order, and send synchronous acquisition instructions to the monitoring sensors. Coordinate the key support components that have been dismantled during the dismantling process of adjacent target monitoring points to generate a real-time monitoring sample set. Step S3: Retrieve the initial target stress data clusters of each target monitoring point under the simulation state, and coordinate the real-time target stress data clusters of each target monitoring point under the real-time demolition steps; Step S4: Based on the initial simulation monitoring sample set and the real-time monitoring sample set, evaluate the first target requirement compliance of the current demolition sequence. Determine whether the real-time construction sequence meets the requirements according to the preset first target threshold. If it does not meet the requirements, evaluate the second target requirement compliance based on the initial target stress data cluster and the real-time target stress data cluster. Combine the preset second target threshold to determine whether a target warning is triggered. If a warning is triggered, generate a list of prompts by sorting according to the stress deviation weight. First target requirement compliance: In the formula, This indicates the degree of compliance with the first target requirement under the initial dismantling sequence during the t-th step interval. This represents the set of coded sequences formed by the target monitoring points participating in dismantling monitoring during the t-th step interval. Represents a set of encoded sequences The total number of target monitoring points included. Indicates the initialization of the simulated monitoring sample set. The total number of key support components included Indicates the initialization of the simulated monitoring sample set. With real-time monitoring sample set The total number of critical support components contained in the intersection set; Second target requirement compliance: In the formula, This indicates the degree of compliance with the second target requirement under the initial dismantling sequence at the t-th step. Indicates targeted monitoring points The stress deviation weight at the location, and , Indicates targeted monitoring points The load-bearing capacity deviation value fed back by the x-th target monitoring sensor, where y represents the target monitoring point. The total number of targeted monitoring sensors deployed at the location, and , Indicates initialization of the target stress data cluster The initial load-bearing capacity value fed back by the x-th target monitoring sensor. Represents a cluster of real-time targeted stress data The real-time load-bearing capacity value fed back by the xth target monitoring sensor.

2. The method of claim 1, wherein, The specific implementation process of step S1 includes: In the targeted three-dimensional model of the foundation pit support system established based on the foundation pit engineering BIM model, key support components and targeted monitoring points are marked. Several targeted monitoring sensors are deployed at each targeted monitoring point. The targeted monitoring sensors are used to collect the targeted stress data cluster at the targeted monitoring point. The targeted stress data cluster consists of the bearing capacity values ​​in different stress directions with unified initialization and configuration, and one targeted monitoring sensor is deployed in each stress direction. Initialize the dismantling sequence of critical support components, and under the initialized dismantling sequence, simulate the dismantling of the i-th critical support component, denoting the i-th critical support component as... When the simulated demolition reaches the j-th target monitoring point, the j-th target monitoring point is denoted as... .

3. The method of claim 2, wherein the method is characterized by, The specific implementation process of step S2 includes: Based on the initial dismantling sequence, an initial simulation monitoring sample set is generated, denoted as . ,in, This represents the (j-1)th target monitoring point. Let I represent the initial simulated monitoring sample set consisting of the key support components simulated during the process from the (j-1)th target monitoring point to the jth target monitoring point, where I represents the total number of key support components; Synchronous acquisition commands are set for the target monitoring sensors to coordinate the removal of key support components that have been dismantled during the removal process of adjacent target monitoring points within the interval between every two adjacent steps, and a real-time monitoring sample set is generated, denoted as... ,in, This indicates that the real-time monitoring sample set generated during the initialization of the simulated monitoring sample set within the t-th step interval is initialized.

4. The method for monitoring the removal of foundation pit supports based on targeted analysis according to claim 3, characterized in that, The specific implementation process of step S3 includes: Retrieve the initial target stress data clusters generated in the simulation at each target monitoring point, denoted as... ,in, Indicates targeted monitoring points The corresponding generated initial target stress data cluster; The cluster of real-time target stress data collected synchronously at each target monitoring point during the t-th step is denoted as [missing information]. ,and Indicates initialization of the target stress data cluster The real-time target stress data cluster generated at the t-th step.

5. The method of claim 4, wherein the method is based on a targeted analysis of the excavation support removal monitoring. The specific implementation process of step S4 includes: Based on the initial simulation monitoring sample set and the real-time monitoring sample set, the compliance of the first target requirement under the initial demolition sequence is evaluated; A preset first target threshold is set; if the first target requirement is met... If the value is greater than or equal to the first target threshold, then the real-time construction sequence within the t-th step interval is evaluated to meet the initial demolition sequence requirements; otherwise, it is determined that the real-time construction sequence within the t-th step interval does not meet the initial demolition sequence requirements. If the real-time construction sequence does not meet the initial demolition sequence requirements, the second target requirement compliance assessment instruction under the initial demolition sequence will be triggered. Based on the initial target stress data cluster and the real-time target stress data cluster, the compliance of the second target requirement under the initial dismantling sequence is evaluated. A second target threshold is preset; if the second target requirement under the initial removal sequence is met... If the value is less than or equal to the second target threshold, a target warning notification is triggered and sent to the backend, based on the stress deviation weight. The list of prompts is generated in descending order for real-time display on the backend.

6. A targeted analysis based monitoring system for excavation support removal, performing a targeted analysis based method for excavation support removal according to any one of claims 1-5, characterized in that, The system includes: a target model construction and initialization module, a monitoring sample set generation module, a stress data cluster processing module, a target compliance assessment and early warning module, and a back-end interaction module; The targeted model construction and initialization module is used to construct a targeted 3D model based on the BIM model, complete the marking of key support components and targeted monitoring points and the deployment of sensors, and initialize the demolition sequence. The monitoring sample set generation module is used to generate an initial simulated monitoring sample set and a real-time monitoring sample set; The stress data cluster processing module is used to retrieve the initial target stress data cluster and coordinate the real-time target stress data cluster. The target compliance assessment and early warning module is used to quantify the compliance of the two types of target requirements, and to judge and trigger an early warning based on the threshold. The backend interaction module is used to receive monitoring data, display the early warning list, and support user viewing and operation.

7. A monitoring system for the removal of a support of an excavation based on a targeted analysis according to claim 6, characterized in that, The targeted model construction and initialization module includes a BIM model import unit, a targeted marking unit, a sensor configuration unit, and a demolition sequence initialization unit; The BIM model import unit is used to import the BIM model of the foundation pit project and extract the structural parameters of the support system; The target marking unit is used to screen and mark target monitoring points for key support components and high-risk areas in the support system model; The sensor configuration unit is used to configure a target monitoring sensor for each target monitoring point according to the stress direction and set the data acquisition frequency. The demolition sequence initialization unit is used to initialize the demolition sequence according to the foundation pit construction specifications, simulate the demolition process, and mark the key support components and target monitoring points of the corresponding demolition stage.

8. A target analysis based monitoring system for monitoring the removal of a support of an excavation according to claim 6, wherein, The monitoring sample set generation module includes a simulated sample generation unit, a synchronous acquisition and control unit, and a real-time sample integration unit. The simulation sample generation unit is used to generate an initial simulation monitoring sample set corresponding to the demolition process of adjacent target monitoring points according to the initial demolition sequence, and record the number and demolition sequence of key support components in the sample set. The synchronous acquisition control unit is used to send synchronous acquisition commands to the sensors at each target monitoring point to ensure the consistency of data acquisition time between adjacent steps. The real-time sample integration unit is used to receive on-site construction records, coordinate the key support components that have been dismantled within the gap between adjacent steps, and integrate them to generate a real-time monitoring sample set for the corresponding step.

9. A monitoring system for the removal of a support of an excavation based on a targeted analysis according to claim 6, characterized in that, The stress data cluster processing module includes an initialization data retrieval unit, a real-time data coordination unit, and a data storage unit. The initialization data retrieval unit is used to retrieve the initialization target stress data clusters corresponding to each target monitoring point from the simulation database. The real-time data coordination unit is used to receive real-time stress data uploaded by each sensor via wireless transmission, classify it according to demolition steps and monitoring points, and form real-time targeted stress data clusters. The data storage unit is used to store initialization and real-time stress data clusters using a time-series database and to establish an index to support rapid retrieval by step and monitoring point.

10. The system for monitoring the removal of a support for an excavation based on a targeted analysis according to claim 6, characterized in that, The target compliance assessment and early warning module includes a first compliance assessment unit, a second compliance assessment unit, a threshold judgment unit, and an early warning generation unit; The first compliance assessment unit is used to calculate the intersection ratio between the initial simulated monitoring sample set and the real-time monitoring sample set to obtain the first target requirement compliance. The second compliance assessment unit is used to calculate the stress deviation weight of each target monitoring point and calculate the compliance of the second target requirement in combination with the differences in stress data clusters; The threshold judgment unit is used to compare the two types of conformity with preset first and second target thresholds respectively, and output the judgment result. The warning generation unit is used to trigger a targeted warning when the judgment result is "not satisfied", generate a list of prompts by sorting them from largest to smallest according to the stress deviation weight, and provide a pop-up prompt through the backend interaction module.

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