Construction and monitoring method, device and equipment of underground diaphragm wall and storage medium

Abstract

The invention provides an underground diaphragm wall construction and monitoring method and device, equipment and a storage medium, and the method comprises the steps: building a wall body model corresponding to an underground diaphragm wall; wherein the wall body model comprises a guide wall model, a groove section model, a concrete model and a reinforcement cage model; performing fusion analysis based on the slot section model and the reinforcement cage model to obtain a predicted slot position; carrying out reinforcement cage lifting point analysis based on the reinforcement cage model to obtain a lifting point position; fusing the groove section model and the geologic body model to generate a fusion model; creating a measuring pipe model in the fusion model; construction is conducted based on the guide wall model, the groove section model, the clamping groove position, the lifting point position, the pipe measuring model and the fusion model, and the underground diaphragm wall is monitored in the construction process and after construction is completed. According to the technical scheme, smooth construction of the underground diaphragm wall can be guaranteed, and effective monitoring of the whole life cycle of the underground diaphragm wall is achieved.

Description

Technical Field

[0001] The present application relates to the technical field of underground continuous walls, and in particular to a construction and monitoring method, device, equipment and storage medium for underground continuous walls. Background Art

[0002] In the related art, during the lifting process of the steel cage of the underground continuous wall, force calculation is often performed in advance, and the lifting point of the steel cage is determined based on the force calculation results, combined with experience and safety factors. After the construction is completed, it is often determined whether the underground continuous wall has any abnormalities by manual on-site inspection. Summary of the invention

[0003] The present application aims to solve one of the technical problems in the related art at least to some extent.

[0004] In the first aspect, the present application proposes a construction and monitoring method for an underground continuous wall, the method comprising: establishing a wall model corresponding to the underground continuous wall; wherein the wall model comprises at least one of a guide wall model, a slot section model, a concrete model and a steel cage model; performing a fusion analysis based on the slot section model and the steel cage model to obtain a predicted slot position; performing a steel cage hanging point analysis based on the steel cage model to obtain a hanging point position; fusing the slot section model and a geological body model to generate a fusion model; creating a pipe measuring model in the fusion model; performing construction based on the guide wall model, the slot section model, the slot position, the hanging point position, the pipe measuring model and the fusion model, and monitoring the underground continuous wall during and after the construction.

[0005] In one implementation, the wall model includes the slot segment model, and the establishment of the wall model corresponding to the underground continuous wall includes: obtaining slot segment attribute information of the slot segment; obtaining measuring point position data and ultrasonic detection data of preset measuring points; wherein the ultrasonic detection data includes multiple distance values ​​between the measuring point and the wall width of the underground continuous wall in multiple preset directions; based on the measuring point position data and the ultrasonic detection data, obtaining the wall width vertex coordinates corresponding to different depth segments and the slot segment; establishing polygonal models corresponding to different depth segments based on the wall width vertex coordinates; and establishing the slot segment model based on the polygonal model and the slot segment attribute information.

[0006] In one implementation, the fusion analysis based on the slot segment model and the steel cage model to obtain the predicted slot position includes: obtaining vertex data of horizontal bars in the steel cage model; performing model analysis on the slot segment model to obtain slot body geometric points corresponding to different depths; creating micro-slot body models corresponding to different depth segments based on the slot body geometric points corresponding to adjacent depths; creating micro-slot cage models corresponding to different depth segments based on the vertex data; determining whether there is a cutting body based on the micro-slot body model and the micro-slot cage model corresponding to the same depth segment; and determining the predicted slot position based on the cutting body in response to the existence of the cutting body.

[0007] In one implementation, the analysis of the steel cage hanging points based on the steel cage model to obtain the hanging point positions includes: obtaining steel quantity data; associating the steel quantity data with the steel cage model to obtain a steel cage physical model; configuring hanging point spacing data of the steel cage hanging points based on the steel cage physical model; and performing simulated calculations of weight and bending moment based on the hanging point spacing data to obtain the hanging point positions.

[0008] In an optional implementation, the simulation calculation of weight and bending moment is performed based on the hanging point spacing data to obtain the hanging point position, including: performing simulation calculation of weight and bending moment based on the hanging point spacing data to determine the maximum bending moment position of the steel cage solid model; setting the maximum bending moment position as the hanging point position.

[0009] Optionally, the underground continuous wall is monitored during and after the construction, including: obtaining stress data and bending moment data corresponding to the lifting point position during the lifting of the steel cage; obtaining the force data of the steel cage based on the stress data and the bending moment data; and monitoring the lifting process of the steel cage based on the force data and a preset force threshold.

[0010] In one implementation, the monitoring of the underground continuous wall during and after the construction process includes: obtaining monitoring data of the underground continuous wall; wherein the monitoring data is data obtained by a monitoring device of a measuring pipe set in the underground continuous wall, and the measuring pipe is set based on the measuring pipe model; determining whether there is an abnormality in the wall of the underground continuous wall based on the monitoring data; wherein the monitoring data includes at least one of ultrasonic monitoring data and inclinometer data; determining whether there is an abnormality in the wall of the underground continuous wall, and determining the abnormal part of the wall based on the monitoring data; matching a corresponding target treatment solution from a preset treatment solution library based on the abnormal part of the wall; and generating prompt information based on the target treatment solution.

[0011] In the second aspect, the present application proposes a construction and monitoring device for an underground continuous wall, the device comprising: a modeling module, used to establish a wall model corresponding to the underground continuous wall; wherein the wall model comprises at least one of a guide wall model, a slot section model, a concrete model and a steel cage model; a first processing module, used to perform a fusion analysis based on the slot section model and the steel cage model to obtain a predicted slot position; a second processing module, used to perform a steel cage hanging point analysis based on the steel cage model to obtain a hanging point position; a third processing module, used to fuse the slot section model and the geological body model to generate a fusion model; a fourth processing module, used to create a measuring pipe model in the fusion model; a fifth processing module, used to perform construction based on the guide wall model, the slot section model, the slot position, the hanging point position, the measuring pipe model and the fusion model, and monitor the underground continuous wall during and after the construction.

[0012] In one implementation, the wall model includes the slot segment model, and the modeling module can be used to: obtain slot segment attribute information of the slot segment; obtain measuring point position data and ultrasonic detection data of preset measuring points; wherein the ultrasonic detection data includes multiple distance values ​​between the measuring point and the wall width of the underground continuous wall in multiple preset directions; based on the measuring point position data and the ultrasonic detection data, obtain the wall width vertex coordinates corresponding to different depth segments and the slot segment; establish polygonal models corresponding to different depth segments based on the wall width vertex coordinates; and establish the slot segment model based on the polygonal model and the slot segment attribute information.

[0013] In one implementation, the first processing module can be used to: obtain vertex data of horizontal bars in the steel cage model; perform model analysis on the slot segment model to obtain slot body geometric points corresponding to different depths; create micro-slot body models corresponding to different depth segments based on the slot body geometric points corresponding to adjacent depths; create micro-steel cage models corresponding to different depth segments based on the vertex data; determine whether there is a cutting body based on the micro-slot body model and the micro-steel cage model corresponding to the same depth segment; in response to the existence of the cutting body, determine the predicted slot position based on the cutting body.

[0014] In one implementation, the second processing module can be used to: obtain steel bar engineering quantity data; associate the steel bar engineering quantity data with the steel bar cage model to obtain the steel bar cage physical model; configure the hanging point spacing data of the steel bar cage hanging points based on the steel bar cage physical model; perform simulation calculations of weight and bending moment based on the hanging point spacing data to obtain the hanging point position.

[0015] In an optional implementation, the second processing module can be used to: perform simulation calculations of weight and bending moment based on the suspension point interval data to determine the maximum bending moment position of the steel cage entity model; and set the maximum bending moment position as the suspension point position.

[0016] Optionally, the second processing module can be used to: obtain stress data and bending moment data corresponding to the lifting point position during the lifting of the steel cage; obtain force data of the steel cage based on the stress data and the bending moment data; and monitor the lifting process of the steel cage based on the force data and a preset force threshold.

[0017] In one implementation, the fifth processing module can be used to: obtain monitoring data of the underground continuous wall; wherein, the monitoring data is data obtained by a monitoring device of a measuring pipe set in the underground continuous wall, and the measuring pipe is set based on the measuring pipe model; determine whether there is an abnormality in the wall of the underground continuous wall based on the monitoring data; wherein, the monitoring data includes at least one of ultrasonic monitoring data and inclinometer data; determine whether there is an abnormality in the wall of the underground continuous wall, and determine the abnormal part of the wall based on the monitoring data; match the corresponding target processing solution from a preset processing solution library based on the abnormal part of the wall; and generate prompt information based on the target processing solution.

[0018] In a third aspect, the present application proposes an electronic device comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the construction and monitoring method of an underground continuous wall as described in the first aspect.

[0019] In a fourth aspect, the present application proposes a computer-readable storage medium for storing instructions, which, when executed, enables the method described in the first aspect to be implemented.

[0020] In a fifth aspect, the present application proposes a computer program product, including a computer program, which, when executed by a processor, implements the steps of the underground continuous wall construction and monitoring method as described in the first aspect.

[0021] The construction and monitoring method, device, equipment and storage medium of the underground continuous wall provided by the present application can perform fusion analysis based on the slot segment model and steel bar model corresponding to the underground continuous wall to obtain the predicted slot position, and perform suspension point analysis on the steel bar cage model to obtain the suspension point position, thereby performing underground continuous wall construction based on multiple models corresponding to the underground continuous wall, predicted slot positions and suspension point positions, and continuously monitoring the wall state of the underground continuous wall after the construction is completed. Ensure the smooth progress of the construction and realize effective monitoring of the entire life cycle of the underground continuous wall.

[0022] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0024] Figure 1 It is a schematic diagram of a process flow of a construction and monitoring method of an underground continuous wall provided in an embodiment of the present application;

[0025] Figure 2 It is a structural schematic diagram of a construction and monitoring device for an underground continuous wall provided in an embodiment of the present application;

[0026] Figure 3 It is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0027] Embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0028] The following describes the construction and monitoring method and device of the underground continuous wall according to the embodiment of the present application with reference to the accompanying drawings.

[0029] Figure 1 Schematic diagram of a construction and monitoring method of an underground continuous wall provided in an embodiment of the present application. Figure 1 As shown, the method may include but is not limited to the following steps:

[0030] Step S101: establishing a wall model corresponding to the underground continuous wall.

[0031] The wall model includes a guide wall model, a slot section model, a concrete model and a steel cage model.

[0032] Exemplarily, the centerline inflection point data of the wall width in the design drawing of the underground continuous wall is read, and the cross-sectional parameters are obtained to create a guide wall model based on the above-mentioned centerline inflection point data and cross-sectional parameters; a trench section model is generated based on the acoustic wave detection data; the concrete parts in multiple trench section models are merged to form a concrete model; the design drawings are identified to obtain the steel bar components, so as to establish a steel cage model based on the steel bar components.

[0033] Step S102: Perform fusion analysis based on the slot segment model and the steel cage model to obtain a predicted slot position.

[0034] Exemplarily, a simulation is performed based on the slot segment model and the steel cage model to obtain the overlapping position of the slot segment model and the steel cage model as the predicted slot position.

[0035] Step S103: Analyze the steel cage suspension points based on the steel cage model to obtain the suspension point positions.

[0036] Exemplarily, a hoisting stress analysis is performed on the steel cage model to obtain bending moment information at various locations of the steel cage model, thereby obtaining the position of the hoisting point based on the bending moment information.

[0037] Step S104: Fusing the slot segment model and the geological body model to generate a fusion model.

[0038] Exemplarily, Boolean operations are performed on the geological body model and the structural body model, and the overlapping relationship between the geological body model and the structural body model is recorded through plane loop search and spatial loop analysis, and the line segments on the surface are colinearly identified using a recursive algorithm, and the information of new vertices, lines, and surfaces is recorded; through plane loop search, a new geometric topological relationship of vertex-directed edge-directed ring-directed surface is established on the plane; through spatial loop analysis, a geometric topological relationship of directed surface-directed shell-directed body is formed in space, so as to realize the geometric topological reconstruction of the geological body and the structural body, and finally generate a fusion model.

[0039] Step S105: creating a pipe measurement model in the fusion model.

[0040] Exemplarily, the parameters of the initial arrangement scheme of the measuring pipes are determined, and the initial arrangement scheme may include the number and position of the measuring pipes and the embedding method of the measuring pipes in the underground continuous wall; the initial measuring pipe model is generated based on the fusion model and the above-mentioned initial arrangement scheme parameters; then, the relative position of the initial measuring pipe model and the slot section is adjusted to adapt to the geological conditions, and a numerical analysis method is used to simulate the stress conditions of the measuring pipes in the underground continuous wall and the interaction with the surrounding geological bodies, and the initial measuring pipe model is optimized and adjusted according to the simulation results to obtain the measuring pipe model.

[0041] Step S106: Perform construction based on the guide wall model, the slot section model, the slot position, the hanging point position, the pipe measurement model and the fusion model, and monitor the underground continuous wall during and after the construction.

[0042] Exemplarily, guide wall construction is carried out based on the guide wall model; trench excavation is carried out based on the trench model. After the trench excavation is completed, the steel cage is hoisted based on the above-mentioned lifting point positions and slot positions, and the measuring pipe and monitoring devices are set up, so that the underground continuous wall is continuously monitored based on the monitoring data of the monitoring device after the construction is completed.

[0043] By implementing the embodiments of the present application, a fusion analysis can be performed based on the slot segment model and the steel bar model corresponding to the underground continuous wall to obtain the predicted slot position, and the steel cage model can be analyzed for the hanging point to obtain the hanging point position, so that the underground continuous wall can be constructed based on multiple models corresponding to the underground continuous wall, the predicted slot position and the hanging point position, and the wall status of the underground continuous wall can be continuously monitored after the construction is completed. Ensure the smooth progress of the construction and realize the effective monitoring of the entire life cycle of the underground continuous wall

[0044] In some embodiments, the trench segment model corresponding to the underground continuous wall can be established by the following steps:

[0045] A1: Get the slot attribute information of the slot.

[0046] Among them, the above-mentioned trench section attribute information includes at least one of the following: trench section type; trench width; trench depth; trench section detection information; trench section excavation information; trench section design information.

[0047] A2: Obtain the measuring point position data and ultrasonic detection data of the preset measuring points.

[0048] The ultrasonic detection data includes a plurality of distance values ​​between the ultrasonic measuring point and the wall width of the underground continuous wall in a plurality of preset directions (eg, above, below, left, right, front, and back).

[0049] A3: Based on the measuring point position data and ultrasonic detection data, the coordinates of the wall vertices corresponding to different depth sections and groove sections are obtained.

[0050] Exemplarily, based on the measuring point position data and the ultrasonic detection data,

[0051] A4: Create polygonal models corresponding to different depth segments based on the vertex coordinates of the wall.

[0052] A5: A slot segment model is established based on the polygonal model and slot segment attribute information.

[0053] Exemplarily, polygons corresponding to different depth segments are combined to obtain a model entity, and the slot segment attribute information is bound to establish a slot segment model.

[0054] By implementing the embodiments of the present application, slot segment polygons corresponding to different depth segments can be established based on ultrasonic detection data and the measurement point positions of ultrasonic measurement points, thereby obtaining a slot segment model based on a combination of slot segment polygons corresponding to different depth segments.

[0055] In some embodiments, the above-mentioned fusion analysis based on the slot segment model and the steel cage model to obtain the predicted slot position may include the following steps:

[0056] B1: Get the vertex data of the horizontal reinforcement in the reinforcement cage model.

[0057] Exemplarily, a model analysis is performed on the steel cage model to obtain vertex coordinate data of the top of the horizontal reinforcement corresponding to each horizontal reinforcement in the steel cage model.

[0058] B2: Based on the slot segment model, obtain the slot body geometric points corresponding to different depths.

[0059] Exemplarily, a model analysis is performed on the trough section model to obtain trough body geometric points corresponding to a plurality of depths with a horizontal plane as a reference plane and an interval of a preset interval (for example, 0.1 meter).

[0060] B3: Based on the groove body geometric points corresponding to adjacent depths, create micro-groove body models corresponding to different depth segments.

[0061] Exemplarily, the groove body geometric points corresponding to the depth A and the depth B are obtained as the reference points of the micro-groove body model corresponding to the depth segment from the depth A to the depth B, so as to create the micro-groove body models corresponding to the different depth segments. Wherein, the depth A and the depth B are any two depths, and the depth interval of the depth A and the depth B is the above-mentioned preset interval.

[0062] B4: Create micro-reinforcement cage models corresponding to different depth segments based on vertex data.

[0063] Exemplarily, the target horizontal reinforcement vertices of adjacent depths among the above-mentioned horizontal reinforcement vertices are obtained, so as to create micro-reinforcement cage models corresponding to different depth segments according to the target horizontal reinforcement vertices.

[0064] B5: Determine whether there is a cutting body based on the micro-groove body model and micro-reinforcement cage model corresponding to the same depth segment.

[0065] Exemplarily, each micro-groove body model is used to cut the steel bar quantity model of the same depth segment to determine whether there is a cut body.

[0066] B6: In response to the existence of the cutting body, determine the card slot position based on the cutting body.

[0067] Exemplarily, in response to the existence of a cutting body, the position of the cutting body is used as the predicted slot position.

[0068] By implementing the embodiments of the present application, micro-groove segment models corresponding to different depth segments can be established based on the groove segment model, and micro-reinforcement cage models corresponding to different depth segments can be established based on the reinforcement cage model, so as to determine the predicted slot position based on the micro-groove segment model and micro-reinforcement cage model corresponding to each depth segment. The slot prediction can be performed based on the groove segment model and the reinforcement cage model to ensure the smooth construction of the ground-connected wall.

[0069] In some embodiments, the above-mentioned analysis of the steel cage lifting points based on the steel cage model to obtain the lifting point positions may include the following steps:

[0070] C1: Obtain steel bar quantity data.

[0071] The above steel bar quantity data includes model data and weight data of different steel bars.

[0072] C2: Associating the steel bar quantity data with the steel bar cage model to obtain the steel bar cage entity model. Exemplarily, the steel bar signal of each steel bar in the steel bar cage model is obtained, so as to associate the weight data of each steel bar in the steel bar cage model based on the steel bar signal of each steel bar in the steel bar cage model.

[0073] C3: configuring the spacing data of the lifting points of the steel cage based on the steel cage entity model.

[0074] Among them, the above initial configuration information includes the distance parameters of the steel cage lifting points.

[0075] C4: Perform simulation calculation of weight and bending moment based on the suspension point interval data to obtain the suspension point position.

[0076] Exemplarily, based on the lifting point spacing data of the steel bar lifting points, multiple initial lifting point positions are determined, and then force analysis is performed on each initial lifting point position based on the steel bar cage solid model to obtain the force analysis results corresponding to each initial lifting point, and then the lifting point position is obtained based on the force analysis results of each initial lifting point.

[0077] Optionally, the above-mentioned simulation calculation of weight and bending moment based on the hanging point spacing data to obtain the hanging point position includes: performing simulation calculation of weight and bending moment based on the hanging point spacing data to determine the maximum bending moment position of the steel cage solid model; setting the maximum bending moment position as the hanging point position.

[0078] Exemplarily, based on the suspension point interval data, weight and bending moment simulation calculations are performed on different positions of the steel cage to determine the maximum bending moment position of the steel cage entity model; and the maximum bending moment position is set as the suspension point position.

[0079] Optionally, the aforementioned monitoring of the construction process may include the following steps: obtaining stress data and bending moment data corresponding to the lifting point position during the lifting of the steel cage; obtaining the force data of the steel cage based on the stress data and bending moment data; and monitoring the lifting process of the steel cage based on the force data and a preset force threshold.

[0080] Exemplarily, stress sensors are arranged on the surface of the main steel bars at the hanging point positions corresponding to the steel cage entity, so as to obtain stress data at the hanging point positions during the lifting of the steel cage based on the stress sensors; and the force data of the steel cage is obtained by combining the measured bending moment data at the hanging point positions, and based on a preset force threshold, it is determined whether the force data is abnormal, thereby monitoring the status of the steel cage during the lifting process.

[0081] The above bending moment data include transverse bending moment data and longitudinal bending moment data.

[0082] In some embodiments, the monitoring of the underground continuous wall during and after the construction process includes:

[0083] D1: Obtain monitoring data of underground continuous wall.

[0084] The monitoring data are data obtained by a monitoring device installed in a measuring pipe in an underground continuous wall, and the measuring pipe is obtained based on a measuring pipe model.

[0085] Exemplarily, monitoring data of the underground continuous wall is obtained by a monitoring device disposed in the measuring pipe.

[0086] D2: Determine whether there are any abnormalities in the underground continuous wall based on the monitoring data.

[0087] The monitoring data includes at least one of ultrasonic monitoring data and inclinometer data.

[0088] Exemplarily, characteristic data such as critical value, wavelength and wave velocity of ultrasonic monitoring data are obtained, and whether there is any abnormality in the wall of the underground continuous wall is determined based on the above characteristic data and a preset threshold range (for example, critical value threshold range, wavelength threshold range, wave velocity threshold range).

[0089] Exemplarily, the cumulative offset value of the underground continuous wall is obtained based on the inclinometric data, and it is determined whether the cumulative offset value is within a preset normal value range. If the cumulative offset value is not within the normal value range, it is determined whether there is any abnormality in the wall of the underground continuous wall.

[0090] D3: Determine if there are abnormalities in the underground continuous wall and identify the abnormal parts of the wall based on the monitoring data.

[0091] Exemplarily, the measuring pipe position of the measuring pipe corresponding to the abnormal monitoring data is obtained, and the wall near the measuring pipe position is used as the underground continuous wall where the abnormality occurs.

[0092] D4: Match the corresponding target treatment solution from the preset treatment solution library based on the abnormal part of the wall.

[0093] Exemplarily, corresponding abnormal processing solutions are set in advance for different parts of the underground continuous wall, so that the corresponding target processing solution can be matched from a preset processing solution library according to the abnormal part of the wall.

[0094] D5: Generate prompt information based on the target processing solution.

[0095] Exemplarily, prompt information is generated based on the target processing solution, and the prompt information may include the wall position of the underground continuous wall where the abnormality occurs, and the corresponding processing solution, so as to prompt relevant personnel to deal with the abnormality in a timely manner.

[0096] See also Figure 2 , Figure 2 Schematic diagram of the structure of a construction and monitoring device for an underground continuous wall provided in an embodiment of the present application. Figure 2 As shown, the device 200 includes: a modeling module 201, which is used to establish a wall model corresponding to the underground continuous wall; wherein the wall model includes a guide wall model, a slot section model, a concrete model and a steel cage model; a first processing module 202, which is used to perform a fusion analysis based on the slot section model and the steel cage model to obtain a predicted slot position; a second processing module 203, which is used to perform a steel cage hanging point analysis based on the steel cage model to obtain the hanging point position; a third processing module 204, which is used to fuse the slot section model and the geological body model to generate a fusion model; a fourth processing module 205, which is used to create a pipe measurement model in the fusion model; a fifth processing module 206, which is used to perform construction based on the guide wall model, the slot section model, the slot position, the hanging point position, the pipe measurement model and the fusion model, and monitor the underground continuous wall during and after the construction.

[0097] In one implementation, the wall model includes a slot segment model, and the modeling module 201 can be used to: obtain slot segment attribute information of the slot segment; obtain measuring point position data and ultrasonic detection data of a preset measuring point; wherein the ultrasonic detection data includes multiple distance values ​​between the measuring point and the wall width of the underground continuous wall in multiple preset directions; based on the measuring point position data and the ultrasonic detection data, obtain the wall width vertex coordinates corresponding to different depth segments and the slot segment; establish polygonal models corresponding to different depth segments based on the wall width vertex coordinates; and establish the slot segment model based on the polygonal model and the slot segment attribute information.

[0098] In one implementation, the first processing module 202 can be used to: obtain vertex data of horizontal bars in the steel cage model; perform model analysis on the slot segment model to obtain slot body geometric points corresponding to different depths; create micro-slot body models corresponding to different depth segments based on the slot body geometric points corresponding to adjacent depths; create micro-steel cage models corresponding to different depth segments based on the vertex data; determine whether there is a cutting body based on the micro-slot body model and micro-steel cage model corresponding to the same depth segment; in response to the existence of a cutting body, determine the predicted slot position based on the cutting body.

[0099] In one implementation, the second processing module 203 can be used to: obtain steel bar engineering quantity data; associate the steel bar engineering quantity data with the steel cage model to obtain the steel cage physical model; configure the hanging point spacing data of the steel cage hanging points based on the steel cage physical model; perform simulation calculations of weight and bending moment based on the hanging point spacing data to obtain the hanging point position.

[0100] In an optional implementation, the second processing module 203 can be used to: perform simulation calculations of weight and bending moment based on the suspension point interval data to determine the maximum bending moment position of the steel cage entity model; and set the maximum bending moment position as the suspension point position.

[0101] Optionally, the second processing module 203 can be used to: obtain stress data and bending moment data corresponding to the lifting point position during the lifting process of the steel cage; obtain the force data of the steel cage based on the stress data and bending moment data; and monitor the lifting process of the steel cage based on the force data and a preset force threshold.

[0102] In one implementation, the fifth processing module 206 can be used to: obtain monitoring data of the underground continuous wall; wherein the monitoring data is data obtained by a monitoring device for a measuring pipe set in the underground continuous wall, and the measuring pipe is obtained based on a measuring pipe model; determine whether there is an abnormality in the wall of the underground continuous wall based on the monitoring data; wherein the monitoring data includes at least one of ultrasonic monitoring data and inclinometer data; determine whether there is an abnormality in the wall of the underground continuous wall, and determine the abnormal part of the wall based on the monitoring data; match the corresponding target processing solution from a preset processing solution library based on the abnormal part of the wall; and generate prompt information based on the target processing solution.

[0103] Through the device of the embodiment of the present application, a fusion analysis can be performed based on the slot segment model and the steel bar model corresponding to the underground continuous wall to obtain the predicted slot position, and the steel bar cage model can be analyzed for the hanging point to obtain the hanging point position, so that the underground continuous wall can be constructed based on multiple models corresponding to the underground continuous wall, the predicted slot position and the hanging point position, and the wall state of the underground continuous wall can be continuously monitored after the construction is completed. This ensures the smooth progress of the construction and realizes effective monitoring of the entire life cycle of the underground continuous wall.

[0104] It should be noted that the above explanations and descriptions of the embodiment of the construction and monitoring method of the underground continuous wall are also applicable to the construction and monitoring device of the underground continuous wall of this embodiment, which will not be repeated here.

[0105] In order to implement the above embodiment, the present application also proposes an electronic device. Figure 3 , Figure 3 Schematic diagram of the structure of the electronic device provided in the embodiment of the present application. Figure 3 As shown, the electronic device 300 includes: a processor 301, and a memory 302 communicatively connected to the processor 301; the memory 302 stores computer-executable instructions; the processor 301 executes the computer-executable instructions stored in the memory to implement the method provided in the aforementioned embodiment.

[0106] In order to implement the above embodiments, the present application also proposes a computer-readable storage medium, in which computer-executable instructions are stored. When the computer-executable instructions are executed by a processor, they are used to implement the methods provided by the above embodiments.

[0107] In order to implement the above embodiments, the present application also proposes a computer program product, including a computer program, which implements the methods provided by the above embodiments when executed by a processor.

[0108] In the description of this application, unless otherwise specified, “ / ” means or, for example, A / B can mean A or B; “and / or” in this article is merely a way to describe the association relationship of associated objects, indicating that there can be three relationships, for example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone.

[0109] In the description of the aforementioned embodiments, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0110] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of this application, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0111] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0112] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute the instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purpose of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways if necessary, and then stored in a computer memory.

[0113] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0114] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0115] In addition, each functional unit in each embodiment of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0116] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present application. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A construction and monitoring method for an underground continuous wall, characterized in that: include: Establishing a wall model corresponding to the underground continuous wall; wherein the wall model includes at least one of a guide wall model, a slot section model, a concrete model and a steel cage model; Perform fusion analysis based on the slot segment model and the steel cage model to obtain a predicted slot position; Perform steel cage hanging point analysis based on the steel cage model to obtain the hanging point position; Fusing the slot segment model and the geological body model to generate a fusion model; creating a pipe-measuring model in the fusion model; The construction is carried out based on the guide wall model, the slot section model, the slot position, the hanging point position, the pipe measuring model and the fusion model, and the underground continuous wall is monitored during and after the construction.

2. The method according to claim 1, characterized in that The wall model includes the slot segment model, and the wall model corresponding to the underground continuous wall is established, including: Obtaining slot segment attribute information of the slot segment; Acquire the measuring point position data and ultrasonic detection data of the preset measuring point; wherein the ultrasonic detection data includes a plurality of distance values ​​between the measuring point and the wall width of the underground continuous wall in a plurality of preset directions; Based on the measuring point position data and the ultrasonic detection data, obtaining the wall vertex coordinates corresponding to different depth sections and the groove sections; Establishing polygonal models corresponding to different depth segments based on the vertex coordinates of the wall; The slot segment model is established based on the polygonal model and the slot segment attribute information.

3. The method according to claim 1, characterized in that The step of performing fusion analysis based on the slot segment model and the steel cage model to obtain a predicted slot position includes: Obtaining vertex data of horizontal reinforcements in the reinforcement cage model; Performing model analysis on the groove section model to obtain groove body geometric points corresponding to different depths; Based on the groove body geometric points corresponding to the adjacent depths, creating micro groove body models corresponding to different depth segments; Creating micro-reinforcement cage models corresponding to different depth segments based on the vertex data; Determining whether there is a cut body based on the micro-groove body model and the micro-reinforcement cage model corresponding to the same depth segment; In response to the existence of the cutting volume, the predicted slot position is determined based on the cutting volume.

4. The method according to claim 1, characterized in that The performing steel cage suspension point analysis based on the steel cage model to obtain the suspension point position includes: Obtain steel bar quantity data; Associating the steel bar engineering quantity data with the steel bar cage model to obtain a steel bar cage entity model; Based on the steel cage entity model, the lifting point spacing data of the steel cage lifting points is configured; The weight and bending moment are simulated and calculated based on the suspension point interval data to obtain the suspension point positions.

5. The method according to claim 4, characterized in that The simulating calculation of weight and bending moment based on the suspension point interval data to obtain the suspension point position includes: Performing a simulation calculation of weight and bending moment based on the suspension point interval data to determine the maximum bending moment position of the steel cage entity model; The position with the maximum bending moment is set as the suspension point position.

6. The method according to claim 5, characterized in that The monitoring of the underground continuous wall during and after the construction process includes: Obtain stress data and bending moment data corresponding to the lifting point position during the lifting process of the steel cage; Acquire force data of the steel cage based on the stress data and the bending moment data; The reinforcement cage hoisting process is monitored based on the stress data and a preset stress threshold.

7. The method according to claim 1, characterized in that The monitoring of the underground continuous wall during and after the construction process includes: Acquire monitoring data of the underground continuous wall; wherein the monitoring data is data obtained by a monitoring device disposed in a measuring pipe in the underground continuous wall, and the measuring pipe is obtained based on the measuring pipe model; Determine whether there is any abnormality in the wall of the underground continuous wall based on the monitoring data; wherein the monitoring data includes at least one of ultrasonic monitoring data and inclinometric data; Determining that there is an abnormality in the wall of the underground continuous wall, and determining the abnormal part of the wall based on the monitoring data; Matching a corresponding target treatment solution from a preset treatment solution library based on the abnormal part of the wall; Prompt information is generated based on the target processing solution.

8. A construction and monitoring device for underground continuous walls, characterized in that: include: A modeling module, used to establish a wall model corresponding to the underground continuous wall; wherein the wall model includes at least one of a guide wall model, a slot section model, a concrete model and a steel cage model; A first processing module is used to perform fusion analysis based on the slot segment model and the steel cage model to obtain a predicted slot position; A second processing module is used to analyze the steel cage hanging points based on the steel cage model to obtain the hanging point positions; A third processing module is used to fuse the slot segment model and the geological body model to generate a fusion model; A fourth processing module, used for creating a pipe detection model in the fusion model; The fifth processing module is used to perform construction based on the guide wall model, the slot section model, the slot position, the hanging point position, the pipe measurement model and the fusion model, and monitor the underground continuous wall during and after the construction.

9. An electronic device, characterized in that: include: A processor, and a memory communicatively connected to the processor; The memory stores computer-executable instructions; The processor executes the computer-executable instructions stored in the memory to implement the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, and when the computer-executable instructions are executed by a processor, they are used to implement the method according to any one of claims 1 to 7.

11. A computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the computer program implements the method according to any one of claims 1 to 7.

Images