A geotechnical engineering construction dynamic optimization method and system
By importing exploration and engineering data to establish geological and structural models, and performing registration, fusion, and collision calculations, the problem of the inability to dynamically optimize two-dimensional drawings was solved, enabling efficient and precise construction in geotechnical engineering.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- GLODON CO LTD
- Filing Date
- 2022-07-27
- Publication Date
- 2026-07-07
Smart Images
Figure CN117521185B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of geotechnical engineering construction technology, specifically to a dynamic optimization method and system for geotechnical engineering construction. Background Technology
[0002] In geotechnical engineering construction, two-dimensional cross-sectional drawings are commonly used to describe the relationship between underground piles, tunnels, pipelines, and other structures and the strata. Given the numerous types and complex spatial layers of underground structures, the currently used two-dimensional drawings cannot intuitively reflect the depth, location, and orientation of these structures, thus failing to effectively guide on-site construction. Furthermore, due to the unpredictable nature of actual geological changes, the thickness of the same stratum can vary from 0.5m to tens of meters. Estimating the thickness based solely on a single two-dimensional cross-sectional drawing and the average stratum thickness is cumbersome and lacks precision, inevitably increasing uncertainty in on-site construction, leading to delays and cost waste. Moreover, the unstructured nature of the drawings prevents the accumulation of relevant data, making continuous updates and optimization cumbersome and inefficient. This results in drawings lagging far behind the engineering construction drawings, hindering dynamic updates and optimization as the project progresses. Summary of the Invention
[0003] In view of this, the embodiments of this application provide a dynamic optimization method and system for geotechnical engineering construction, which can improve the efficiency of geotechnical engineering construction.
[0004] One embodiment of this application provides a dynamic optimization method for geotechnical engineering construction. The method includes: importing exploration data and engineering data, and establishing a geological model corresponding to the exploration data and a structure model corresponding to the engineering data; registering and fusing the geological model and the structure model, and based on the registration and fusing results, performing collision calculations on the geological model and the structure model to obtain detailed data information on the stratum location of the structure, and calculating the parameter data required for construction using the detailed data information; combining actual geological data during construction, further optimizing the parameter data required for construction based on the detailed data information, and comparing it with historical data to form a change record.
[0005] The technical solution provided in this embodiment imports relevant data and creates a geological model and a structure model. Collision calculations are performed on the geological model and the structure model. Detailed data related to the stratum location of the structure obtained from the collision calculations are used to calculate the parameter data required for construction. As construction progresses, the required parameter data is calculated again based on the actual geological data obtained during construction. By continuously and dynamically optimizing the required parameter data and performing collision calculations with an updated geological model, the final required parameter data for construction can be made to keep pace with the construction progress, thereby improving actual construction efficiency.
[0006] In one embodiment, the structure model includes at least one of a tunnel model, a pile model, and a pipeline model.
[0007] By classifying the structure models, we can obtain more accurate and detailed data on the strata where different structures are located during subsequent collision calculations.
[0008] In one embodiment, collision calculations are performed on the geological model and the structure model to obtain detailed data information on the stratum location of the structure, including:
[0009] Collision calculations are performed on the geological model and the pile model to obtain detailed data on the location of each pile in the strata. The detailed data on the location of each pile in the strata includes: the thickness of the strata traversed by each pile and the physical properties of the strata; wherein, the parameters related to the pile include at least one of the following: pile length, pile coordinate position, bearing capacity, mud slurry ratio and pile driving force required for construction, recommended selection of construction machinery, construction cost estimation, construction progress estimation, and risky locations of unfavorable strata for construction.
[0010] By performing collision calculations on the geological model and the pile model, we can clearly know the thickness of the strata that each pile passes through and the relevant physical and mechanical properties of the strata, making the calculated parameters related to the piles closer to the parameters related to the piles in actual construction.
[0011] In one embodiment, collision calculations are performed on the geological model and the structure model to obtain detailed data information on the stratum location of the structure, including:
[0012] Collision calculations are performed on the geological model and the tunnel model to obtain detailed data on the strata location of each tunnel ring. The detailed data on the strata location of each tunnel ring includes: the strata model through which each tunnel ring passes, and the strata physical property data. Among them, the parameter data related to tunnel construction includes at least one of the following: the location and volume of strata requiring reinforcement, unfavorable strata, tunnel excavation progress, cost estimation, cutter head wear prediction and analysis and prediction of cutter head replacement locations, and statistics on earthwork volume of various soil layers. The unfavorable strata include at least one of the following: the location and volume of soft upper and hard lower, soft left and hard right, isolated boulders, and karst caves and karst troughs.
[0013] By performing collision calculations on the geological model and the tunnel model, we can clearly understand the geological strata model and related physical and mechanical properties of each tunnel ring. This allows us to clearly understand the geological distribution and geological property parameters at various locations within the tunnel to be constructed during shield tunneling. This enables better prediction of cutter head wear and determination of cutter replacement locations. When the risk of a cutter replacement location is high, we can optimize and recommend replacement locations to improve tunneling efficiency. At the same time, we can also identify the locations where unfavorable strata will be encountered, including: soft upper and hard lower, soft left and hard right, isolated boulders, and the location and volume of karst caves and karst channels. These factors affect the progress of shield tunneling, thus enabling reasonable prediction of tunnel construction progress.
[0014] In one embodiment, performing collision calculations on the geological model and the structure model to obtain detailed data information on the stratum location of the structure includes: performing collision calculations on the tunnel model and the pile model to obtain information on the piles that conflict with the tunnel, wherein the information on the piles that conflict with the tunnel includes at least one of the following: the location of the conflicting pile, the bearing capacity of the conflicting pile, and the cut-off length of the pile.
[0015] By performing collision calculations on the tunnel and pile models, it is possible to clearly calculate where conflicting piles will occur during tunnel construction, as well as the relevant data required to handle these conflicting piles, thus providing a scientific and reasonable data basis for how to deal with them.
[0016] In this embodiment, when the cut-off collision pile does not meet the bearing capacity requirements, a stability and bearing capacity calculation analysis is performed on a selected location around the collision pile to meet the bearing capacity requirements after the pile is cut off.
[0017] When the intercepted conflict piles do not meet the bearing capacity requirements, the geological conditions and related physical and mechanical properties of the surrounding area of the conflict piles are calculated, providing a contingency plan for handling the conflict piles.
[0018] In one implementation, collision calculations are performed on the tunnel model and the pipeline network model to obtain statistical data on the types, ranges, locations, and lengths of the conflicting pipeline networks.
[0019] By performing collision calculations on the tunnel model and the pipeline network model, we can clearly know the distribution of the pipeline network in the area traversed by the tunnel during construction. This data provides a foundation for subsequent relocation of the pipeline network.
[0020] In one embodiment, registering and fusing the geological model and the structure model includes: setting coordinate control points for the geological model and the structure model, and registering and fusing the geological model and the structure model using the coordinate control points.
[0021] By registering and merging geological models and structural models, the distribution of each model in the GIS map and the relationships between the models can be obtained, making various structures during geotechnical engineering construction more visible.
[0022] In one implementation, further optimization of the parameters required for construction based on actual geological data and the detailed data information includes: real-time updating of the stratum thickness data traversed by the structure; updating the geological model with the updated stratum thickness data in conjunction with the original geological survey data; calculating optimized stratum physical and mechanical property data based on actual on-site construction data; performing collision calculations on the updated geological model and the structure model to obtain detailed data information on the updated stratum location of the structure, and calculating the optimized parameters required for construction based on the updated detailed data information.
[0023] By updating the geological model in real time with the thickness data of the strata the structure passes through during construction and combining it with the original exploration data, and then performing collision calculations with the updated geological model, the final construction parameters can be obtained in a way that keeps pace with the construction progress, thereby improving the actual construction efficiency.
[0024] One embodiment of this application also provides a dynamic optimization system for geotechnical engineering construction, the system comprising:
[0025] The model creation unit is used to import exploration data and engineering data, and to create a geological model corresponding to the exploration data and a structure model corresponding to the engineering data.
[0026] The collision unit is used to register and fuse the geological model and the structure model, and based on the registration and fusion result, to perform collision calculations on the geological model and the structure model to obtain detailed data information on the stratum location of the structure, and to calculate the parameter data required for construction based on the detailed data information.
[0027] The optimization unit is used to further optimize the parameter data required for construction based on the actual geological data and the detailed data information. Attached Figure Description
[0028] The features and advantages of this application will be more clearly understood by referring to the accompanying drawings, which are illustrative and should not be construed as limiting the application in any way. In the drawings:
[0029] Figure 1 This invention illustrates a step-by-step diagram of a dynamic optimization method for geotechnical engineering construction in one embodiment of this application.
[0030] Figure 2 This invention provides a schematic diagram of the functional modules of a dynamic optimization system for geotechnical engineering construction in one embodiment of the present application.
[0031] Figure 3 A schematic diagram of the structure of an electronic device in one embodiment of this application is shown. Detailed Implementation
[0032] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions in the embodiments of this application are described clearly and completely below. Obviously, the described embodiments are only a part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without inventive effort are within the scope of protection of this application.
[0033] like Figure 1 As shown, one embodiment of this application provides a dynamic optimization method for geotechnical engineering construction, which may include the following steps.
[0034] S1: Import exploration data and engineering data, and establish the geological model corresponding to the exploration data and the structure model corresponding to the engineering data.
[0035] Before actual construction, a geological survey of the construction site is required. This survey primarily involves obtaining data on the various physical properties of the geological strata at the construction site. These physical properties include, for example, the physical and mechanical properties of the strata and the bearing capacity of the foundation. This comprehensive data constitutes the geological survey data.
[0036] In one implementation, geological exploration data and maps are imported and a geological database is created. The geological exploration data includes: stratigraphic physical property data, foundation bearing capacity data, and borehole data, etc. A geological model is automatically created based on the borehole data in the geological database. The geological model can also be called a geological BIM model (Building Information Modeling).
[0037] In this embodiment, engineering data also needs to be imported to automatically create a structure model. In practical applications, the engineering data may include: underground pipeline exploration data, tunnel design data and location data, pile design data, etc. The structure model can be divided into a tunnel model, a pile model, and a pipeline model, where the tunnel model can be called a tunnel BIM model, the pile model can be called a pile BIM model, and the pipeline model can be called a pipeline BIM model.
[0038] Specifically, when automatically creating a tunnel model, tunnel design data and location data are imported and a tunnel database is created. The tunnel model is automatically created based on the specifications of the tunnel and tunnel rings, as well as the coordinate data of the tunnel rings. In practical applications, shield tunneling tunnels are composed of segments. Assuming a tunnel consists of six segments forming a ring, with each ring segment being 1.5 meters wide, one ring of segments is assembled every 1.5 meters the tunnel advances. A tunnel 1500 meters long would have 1000 rings. The ring referred to here is the tunnel ring. When automatically creating a pile model, pile design data and location data are imported and a pile database is created. The pile model is automatically created based on the specifications and coordinate data of the piles. When automatically creating a pipeline network model, underground pipeline geophysical data is imported and a pipeline network database is created. The pipeline network model is automatically created based on the specifications and model data of the pipeline network, as well as the node coordinate data. Here, a node refers to the two endpoints of each segment of the pipeline network.
[0039] S3: Register and fuse the geological model and the structure model, and based on the registration and fusion results, perform collision calculations on the geological model and the structure model to obtain detailed data information on the stratum location of the structure, and use the detailed data information to calculate the parameter data required for construction.
[0040] Unique borehole and soil layer numbers are created to link the borehole and stratigraphic models with various geological attribute data. These geological attributes include stratigraphic physical and mechanical properties, foundation bearing capacity, and borehole data. For example, stratigraphic physical properties include cohesion and internal friction angle; borehole data includes borehole construction data and borehole test data.
[0041] Create a unique ring number associated with various attribute data of the ring. These attribute data include: diameter, material, reinforcement of tunnel ring segments, construction technology, and construction date.
[0042] Create a unique pile number associated with various attribute data for the pile. These attribute data include pile diameter, material, construction method, and construction date.
[0043] Create unique node numbers to associate various attribute data of the pipeline network between nodes. These attribute data include pipeline diameter and material.
[0044] In one implementation, coordinate control points are set for each of the geological model, tunnel model, pile model, and pipeline network model. On a GIS (Geographic Information System) map, the geological model, tunnel model, pile model, and pipeline network model are registered and fused based on the coordinate control points, and the various attribute data such as ring number association rings created above are integrated into the corresponding structures on the GIS map.
[0045] In practical applications, after registering and integrating geological models, tunnel models, pile models, and pipeline models, these models can be intuitively viewed on a GIS map. Clicking on certain locations within a model displays corresponding data. For example, clicking on a tunnel ring in the tunnel model on the GIS map displays information such as the ring's diameter, material, reinforcement details of the tunnel ring segments, construction process, and construction date.
[0046] In one implementation, based on the registration and fusion results, collision calculations are performed on the geological model and the structure model to obtain detailed data information on the stratum location where the structure is located.
[0047] In one embodiment, collision calculations of the geological model and the structure model can be divided into collision calculations between the geological model and the pile model, collision calculations between the geological model and the tunnel model, collision calculations between the tunnel model and the pile model, and collision calculations between the tunnel model and the pipeline model.
[0048] Existing collision technologies only fuse geological models and structure models to view the geological conditions around the structure. However, the collision calculation in this application is not only a visual model fusion but also a computational one. It performs Boolean operations on the model's mesh to generate new meshes and synchronously calculates the corresponding attribute data through mesh data indexing.
[0049] Specifically, the geological model and the pile model undergo collision calculations to obtain detailed data on the strata locations traversed by each pile. This detailed data includes the thickness and physical properties of each stratum. Simultaneously, a new model displaying the strata traversed by the piles is generated, and the resulting physical property data is linked to this model. This physical property data is then stored in a database for subsequent updates to the geological model and for calculating parameters required for construction.
[0050] In this embodiment, the parameters required for construction are calculated based on the thickness of the strata and the physical properties of the strata through which each pile passes. The parameters required for construction are pile-related parameters when performing collision calculations between the geological model and the pile model. These pile-related parameters include: pile length, pile coordinates, bearing capacity, mud mix ratio and driving force required for construction, recommended selection of construction machinery, construction cost estimation, construction progress estimation, and risky locations of unfavorable strata.
[0051] In practice, for example, the thickness and physical properties of the strata through which each pile passes are used to calculate whether each pile meets the requirements of the bearing stratum and bearing capacity; the required mud water-cement ratio and material consumption and drilling rig selection at different depths of each pile are calculated based on the thickness and physical properties of the strata through which each pile passes; and the pile driving force requirements and pile driving machine selection at different depths of each pile are calculated based on the thickness and physical properties of the strata through which each pile passes.
[0052] In one implementation, a collision calculation is performed between the geological model and the tunnel model to obtain detailed data on the strata locations traversed by each tunnel ring. This detailed data includes the strata model traversed by each tunnel ring and the physical properties of the strata. The strata model represents the various strata traversed by the tunnel laterally, including stratum type, stratum thickness, and distribution information.
[0053] In this embodiment, the geological model through which each ring of the tunnel passes calculates the parameter data required for construction. The parameter data required for construction, when performing collision calculations between the geological model and the tunnel model, are parameter data related to tunnel construction. The parameter data related to tunnel construction includes: the location and volume of strata that need to be reinforced, unfavorable strata, unfavorable strata for tunnel excavation progress and cost estimation, cutter head wear prediction and cutter replacement location analysis and prediction, and statistics of earthwork volume for various soil layers, etc. The unfavorable strata include: soft upper and hard lower, soft left and hard right, isolated boulders, and the location, distribution, and volume of karst caves and sinkholes, etc.
[0054] In practice, for example, the earthwork volume of various strata can be calculated using a geological model of each tunnel ring, the cost of earthwork disposal schemes for each stratum can be set, and the disposal cost of each stratum can be calculated. Furthermore, the earthwork volume and disposal cost can be calculated separately according to the progress of each ring. Earthwork from some strata can be used directly, while earthwork from others needs to be transported out of the tunnel and disposed of; therefore, it is necessary to calculate the aforementioned earthwork volume and disposal cost.
[0055] By calculating the location of unfavorable strata and their corresponding ring locations through the geological model of each tunnel ring, and highlighting them on the GIS map, the specific locations of unfavorable strata can be seen more intuitively, and relevant contingency plans can be formulated. During actual construction, extra attention should be paid to the locations of unfavorable strata to avoid their occurrence affecting the construction progress.
[0056] The location of the cutter head wear that requires replacement is calculated using the geological model of each tunnel ring, and then highlighted on the GIS map.
[0057] In one implementation, a collision distance parameter between the tunnel and the piles is set, and collision calculations are performed on the tunnel model and the pile model to obtain information about the piles that conflict with the tunnel. The piles that conflict with the tunnel are those that conflict within the tunnel's perimeter, where the tunnel perimeter is the area defined by the collision distance parameter and the tunnel itself. The information about the piles that conflict with the tunnel includes: the location of the conflicting pile, the bearing capacity of the conflicting pile, and the cuttable length of the pile.
[0058] In actual construction, before the tunnel is built, the selected construction site may already have piles of existing structures such as bridges. Therefore, the existence of these piles needs to be taken into account when constructing the tunnel.
[0059] In this embodiment, the single pile bearing capacity of the current conflict pile is calculated based on the thickness of the stratum through which each conflict pile passes; a minimum single pile bearing capacity value is set, the pile length is calculated in reverse, and the cut-off length is calculated by comparing it with the original existing pile length.
[0060] In some practical scenarios, even if conflict piles exist within the tunnel area, after calculations to obtain data such as the single pile bearing capacity and the length that can be cut off, the conflict piles can be directly cut off. This ensures that the conflict piles are no longer within the tunnel area while still meeting the bearing capacity requirements for the bridges above them. However, in other cases, if cutting off the conflict piles is insufficient to meet the bearing capacity requirements of the bridges originally supported by the piles, it is necessary to consider selecting locations around the conflict piles for stability calculations and bearing capacity analysis, and then driving new piles to meet the bearing capacity requirements after the piles are cut off. Specifically, locations are selected around the conflict piles, the thickness of each stratum at the current location is calculated, and based on this, the required pile length at the current location is calculated, and new piles are driven to meet the bearing capacity requirements after the piles are cut off.
[0061] In one implementation, collision parameters between the tunnel and the pipeline network are set, and collision calculations are performed on the tunnel model and the pipeline network model to obtain the type, range, and location of the conflicting pipeline network within the tunnel area. The length of the conflicting pipeline network is calculated and highlighted on the GIS map. The collision parameters between the tunnel and the pipeline network are the distance between the tunnel and the pipeline network.
[0062] S5: Based on the actual geological data during construction, further optimize the parameter data required for construction according to the detailed data information, and compare it with historical data to form a change record.
[0063] In actual construction, as construction progresses, some calculated parameters required for construction may lag behind the construction schedule. In order to realize the PDCA cycle, the parameters required for construction are further optimized based on the detailed data information, combined with actual geological data. The actual geological data is the stratum thickness data obtained by borehole drilling or shield tunneling.
[0064] In one implementation, further optimization of the parameters required for construction based on the detailed data information includes:
[0065] The system updates the stratum thickness data as the structure passes through in real time; it combines the original geological survey data with the updated stratum thickness data to update the geological model; it calculates optimized stratum physical property data based on actual on-site construction data; it performs collision calculations on the updated geological model and the structure model to obtain detailed data information on the updated stratum location of the structure, and uses the updated detailed data information to calculate optimized construction parameters.
[0066] In this embodiment, updating the geological model is divided into updating after collision calculation between the geological model and the pile model, and updating after collision calculation between the geological model and the tunnel model.
[0067] Specifically, after the geological model and the pile model perform collision calculations, the thickness data of the strata through which the pile passes is updated online by recording the stratum thickness data obtained from on-site drilling. The optimized physical property data of the strata are calculated by recording the on-site pile driving force data. The geological model is updated by combining the updated stratum thickness data through which the pile passes with the original geological exploration data.
[0068] The updated geological model is used to perform collision calculations with the pile model to obtain detailed data on the location of each pile in the strata. This detailed data includes the updated stratum thickness and physical properties data of each pile. Based on the updated stratum thickness and optimized physical properties data, it is calculated whether each pile meets the requirements for bearing capacity and load-bearing stratum data. Piles that do not meet the requirements are highlighted on the GIS map.
[0069] The data includes the updated data on the thickness of the strata traversed by each pile and the optimized data on the physical properties of the strata, the optimized data on the required mud-cement ratio and the required material consumption at different depths of each pile, and the optimized data on the drilling rig selection.
[0070] The optimized data for pile driving force at different depths of each pile and the optimized data for pile driving machine selection were calculated by updating the stratum thickness and optimized stratum physical properties data of each pile.
[0071] The above optimization is repeatedly performed to achieve continuous dynamic optimization. Each updated geological model, data on the thickness of the strata through which the pile passes, data on the bearing layer, data on the bearing capacity, data on the mud-cement ratio required at different depths of each pile, data on the required materials, data on the drilling rig selection, data on the pile driving force, and data on the optimized selection of the pile driving machine are saved and versioned.
[0072] The saved data versions were compared and analyzed to determine the changes in cost and scheme during pile construction and the differences from the original data.
[0073] In one implementation, after the geological model and the tunnel model are subjected to collision calculations, the thickness data of the strata traversed by the tunnel is updated online by recording the strata thickness data obtained by the on-site shield tunneling. The optimized physical property data of the strata are calculated by using the tunnel shield tunneling monitoring data. The geological model is then updated by combining the updated strata thickness data traversed by the tunnel with the original geological exploration data.
[0074] The updated geological model is compared with the tunnel model to obtain the updated geological model of each tunnel ring.
[0075] The updated geological model and physical properties of each tunnel ring are used to calculate the earthwork volume of various strata, update the earthwork disposal cost of various strata, update the location of unfavorable strata and their corresponding ring locations in the geological model of the tunnel ring, and update the cutter head wear data, among other parameters required for construction. The locations of unfavorable strata and their corresponding ring locations, as well as the updated ring locations where cutter head wear has reached the cutter replacement requirement, are highlighted on the GIS map.
[0076] Each updated geological model, earthwork volume data for various strata, location of unfavorable strata and their corresponding ring locations, cutter head wear data, etc., are saved and versioned.
[0077] The saved data versions were compared and analyzed to determine the changes in costs and plans during tunnel construction and the differences from the original data.
[0078] In one alternative implementation, without the need to create a visual BIM model and handle model collisions, the necessary construction parameters can be obtained solely through data-level calculations. These parameters can then be further optimized based on detailed data and actual geological information. Creating a BIM model facilitates visualization and improves understanding and communication.
[0079] It should be noted that the above-mentioned dynamic optimization method for geotechnical engineering construction can be applied not only to the construction stage, but also to the scheme design verification stage. Furthermore, it can be applied not only to underground engineering such as piles and tunnels, but also to the design and construction of various geotechnical engineering projects such as diaphragm walls and anchor bolts.
[0080] Another point to note is that, currently, due to limitations in on-site construction equipment, some data cannot be collected and monitored in real time and comprehensively. For example, the automatic identification and transmission system for tunneling or drilling soil layers requires manual recording and uploading to the system for updates. With the continuous development of sensors, the automatic monitoring, automatic transmission, and automatic updating and analysis of on-site data will be realized, achieving full automation of the entire process. This still falls under the aforementioned dynamic optimization method for geotechnical engineering construction.
[0081] The technical solution provided in this application imports relevant data and creates a geological model and a structure model. Collision calculations are performed on the geological model and the structure model. Detailed data on the stratum location of the structure obtained from the collision calculations are used to calculate the parameter data required for construction. As construction progresses, the parameter data required for construction is further optimized based on the detailed data obtained during construction, combined with actual geological data. By continuously and dynamically optimizing the parameter data required for construction, the obtained parameter data keeps pace with the construction progress, thereby improving the efficiency of geotechnical engineering construction.
[0082] like Figure 2 As shown, one embodiment of this application provides a dynamic optimization system for geotechnical engineering construction, the system comprising:
[0083] The model creation unit is used to import exploration data and engineering data, and to create a geological model corresponding to the exploration data and a structure model corresponding to the engineering data.
[0084] The collision unit is used to register and fuse the geological model and the structure model, and based on the registration and fusion result, to perform collision calculations on the geological model and the structure model to obtain detailed data information on the stratum location of the structure, and to calculate the parameter data required for construction based on the detailed data information.
[0085] The optimization unit is used to further optimize the parameter data required for construction based on the actual geological data and the detailed data information.
[0086] like Figure 3 As shown, one embodiment of this application provides an electronic device, which includes a memory and a processor. The memory is used to store a computer program, and when the computer program is executed by the processor, it implements the above-described dynamic optimization method for geotechnical engineering construction.
[0087] One embodiment of this application also provides a computer storage medium for storing a computer program, which, when executed by a processor, implements the above-described dynamic optimization method for geotechnical engineering construction.
[0088] One embodiment of this application also provides a computer program product, including a computer program that, when executed by a processor, implements the above-described dynamic optimization method for geotechnical engineering construction.
[0089] The processor can be a central processing unit (CPU). It can also be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or combinations thereof.
[0090] Memory, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs, non-transitory computer-executable programs, and modules, such as the program instructions / modules corresponding to the methods in the embodiments of this invention. The processor executes various functional applications and data processing by running the non-transitory software programs, instructions, and modules stored in the memory, thereby implementing the methods described in the above embodiments.
[0091] The memory may include a program storage area and a data storage area. The program storage area may store the operating system and applications required for at least one function; the data storage area may store data created by the processor, etc. Furthermore, the memory may include high-speed random access memory and non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, the memory may optionally include memory remotely located relative to the processor, which can be connected to the processor via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.
[0092] Those skilled in the art will understand that all or part of the processes in the above-described embodiments can be implemented by a computer program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, it can include the processes of the embodiments described above. The storage medium can be a magnetic disk, optical disk, read-only memory (ROM), random access memory (RAM), flash memory, hard disk drive (HDD), or solid-state drive (SSD), etc.; the storage medium can also include combinations of the above types of memory.
[0093] Although embodiments of this application have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of this application, and such modifications and variations all fall within the scope defined by the appended claims.
Claims
1. A dynamic optimization method for geotechnical engineering construction, characterized in that, The method includes: Import exploration data and engineering data, and establish a geological model corresponding to the exploration data and a structure model corresponding to the engineering data; The geological model and the structure model are registered and fused. Based on the registration and fusion results, collision calculations are performed on the geological model and the structure model to obtain detailed data information on the stratum location of the structure. The parameter data required for construction are then calculated using the detailed data information. Based on the actual geological data during construction, the parameters required for construction are further optimized according to the detailed data information, and compared with historical data to form a change record; The registration and fusion of the geological model and the structure model includes: Set coordinate control points for the geological model and the structure model, and register and fuse the geological model and the structure model using the coordinate control points; Collision calculations were performed on the geological model and the structure model to obtain detailed data on the stratum location of the structure, including: Collision calculations are performed on the geological model and the tunnel model to obtain detailed data on the strata location of each tunnel ring. The detailed data on the strata location of each tunnel ring includes: the strata model through which each tunnel ring passes and the strata physical property data. Among them, the parameter data related to tunnel construction include at least one of the following: the location and volume of the strata that need to be reinforced, unfavorable strata, tunnel excavation progress, cost estimation, cutter head wear prediction and cutter replacement location analysis and prediction, and earthwork statistics of various soil layers. The unfavorable strata include at least one of the following: the location and volume of soft upper and hard lower, soft left and hard right, boulders, and karst caves and karst channels. Based on actual geological data and the detailed data information, the parameters required for construction will be further optimized, including: Real-time updates of the thickness data of the strata through which the structure passes; The geological model is updated with updated stratigraphic thickness data, based on the original geological exploration data. Calculation and optimization of geological physical property data based on actual on-site construction data; Collision calculations are performed on the updated geological model and the structure model to obtain detailed data on the stratum location of the updated structure, and the optimized construction parameters are calculated based on the updated detailed data.
2. The method according to claim 1, characterized in that, The structure model includes at least one of the following: a tunnel model, a pile model, and a pipeline model.
3. The method according to claim 2, characterized in that, Collision calculations were performed on the geological model and the structure model to obtain detailed data on the stratum location of the structure, including: Collision calculations are performed on the geological model and the pile model to obtain detailed data on the location of each pile in the strata. The detailed data on the location of each pile in the strata includes: the thickness of the strata and the physical properties of the strata through which each pile passes. Among them, the parameters related to the pile include at least one of the following: pile length, pile coordinates, bearing capacity, mud mix ratio and driving force required for construction, recommended selection of construction machinery, construction cost estimation, construction progress estimation, and risky locations of unfavorable geological formations.
4. The method according to claim 2, characterized in that, Collision calculations were performed on the geological model and the structure model to obtain detailed data on the stratum location of the structure, including: Collision calculations are performed on the tunnel model and the pile model to obtain information on the piles that conflict with the tunnel. The information on the piles that conflict with the tunnel includes at least one of the following: the location of the conflicting pile, the bearing capacity of the conflicting pile, and the length of the pile to be cut off.
5. The method according to claim 4, characterized in that, The method further includes: When the cut-off collision pile does not meet the bearing capacity requirements, stability and bearing capacity calculations are performed at locations around the collision pile to meet the bearing capacity requirements after the pile is cut off.
6. The method according to claim 2, characterized in that, Collision calculations were performed on the tunnel model and the pipeline network model to obtain statistical data on the types, ranges, locations, and lengths of the conflicting pipeline networks.
7. A dynamic optimization system for geotechnical engineering construction, characterized in that, The system includes: The model creation unit is used to import exploration data and engineering data, and to create a geological model corresponding to the exploration data and a structure model corresponding to the engineering data. The collision unit is used to register and fuse the geological model and the structure model, and based on the registration and fusion result, to perform collision calculations on the geological model and the structure model to obtain detailed data information on the stratum location of the structure, and to calculate the parameter data required for construction based on the detailed data information. The optimization unit is used to combine actual geological data during construction, further optimize the parameter data required for construction based on the detailed data information, and compare it with historical data to form a change record; The registration and fusion of the geological model and the structure model includes: Set coordinate control points for the geological model and the structure model, and register and fuse the geological model and the structure model using the coordinate control points; Collision calculations were performed on the geological model and the structure model to obtain detailed data on the stratum location of the structure, including: Collision calculations are performed on the geological model and the tunnel model to obtain detailed data on the strata location of each tunnel ring. The detailed data on the strata location of each tunnel ring includes: the strata model through which each tunnel ring passes and the strata physical property data. Among them, the parameter data related to tunnel construction include at least one of the following: the location and volume of the strata that need to be reinforced, unfavorable strata, tunnel excavation progress, cost estimation, cutter head wear prediction and cutter replacement location analysis and prediction, and earthwork statistics of various soil layers. The unfavorable strata include at least one of the following: the location and volume of soft upper and hard lower, soft left and hard right, boulders, and karst caves and karst channels. Based on actual geological data and the detailed data information, the parameters required for construction will be further optimized, including: Real-time updates of the thickness data of the strata through which the structure passes; The geological model is updated with updated stratigraphic thickness data, based on the original geological exploration data. Calculation and optimization of geological physical property data based on actual on-site construction data; Collision calculations are performed on the updated geological model and the structure model to obtain detailed data on the stratum location of the updated structure, and the optimized construction parameters are calculated based on the updated detailed data.