A Geotechnical Engineering Intelligent Design Method and System Based on 3D Digital Model

Abstract

This invention relates to an intelligent design method and system for geotechnical engineering based on a three-dimensional digital model. The three-dimensional digital model includes a three-dimensional geological model and a geotechnical engineering contour design model. The intelligent design includes excavation contour design and support scheme design. The method consists of three key components: first, the requirements for the content contained in the three-dimensional digital model constitute the input data needed for intelligent design; second, a knowledge base constructed using computer coding technology, based on industry regulations and standards or existing engineering cases, for specific engineering types. This knowledge base can intelligently recommend design parameters that meet industry requirements, using the information contained in the three-dimensional digital model as input data; and third, the three-dimensional digital technology for geotechnical engineering required to complete the design work based on the intelligently recommended design parameters. The corresponding design work is automatically completed by the software system, realizing intelligent design of geotechnical engineering based on a three-dimensional digital model.

Description

Technical Field

[0001] This invention relates to the field of civil engineering technology, specifically to an intelligent design method and system for geotechnical engineering based on a three-dimensional digital model. Background Technology

[0002] After more than 20 years of development, 3D geological modeling technology has begun to be widely used in resource extraction and infrastructure construction. Geological survey results formed by 3D digital models provide ample basis for the 3D design of slopes, foundation pits, and underground engineering, continuously promoting the development and application of 3D design technology in geotechnical engineering. CN114036609A describes a parametric and non-parametric coupled method for 3D slope contour design; CN118673552A describes a method for generating 3D contours of excavated slopes; CN118332834A describes a method for recording random geological information of tunnel (underground chamber) axes, serving the analysis and evaluation of tunnel segmentation and the deformation stability of surrounding rock in each segment; CN116595704A further proposes an intelligent analysis method for the deformation stability of tunnel surrounding rock. Even so, the 3D design of slope and foundation pit contours still relies on manually input parameters. These parameters often depend on specific geological conditions and industry regulations. Constructing the required 3D design model using these input parameters requires different 3D graphics technologies and methods.

[0003] Currently, determining geotechnical engineering design parameters and support schemes manually requires designers to possess high levels of professional knowledge, undergo extensive training and experience accumulation, and complete design deliverables that meet industry standards. Furthermore, manual design processes are inefficient and time-consuming, and the varying skill levels of designers cannot guarantee the quality of design deliverables or control quality risks. This significantly increases the workload of the review process and consumes a large portion of the productivity of senior technical personnel. The emergence of language-based AI models and the initial application of generative artificial intelligence technology offer new ideas for efficient intelligent design in geotechnical engineering. However, the input conditions and output results of language-based AI models are still text-based, which differs significantly from the standardized engineering drawings and 3D digital models relied upon in geotechnical engineering practice. Therefore, the application of language-based AI models in geotechnical engineering must achieve interaction with 3D digital models.

[0004] The methods described in this section are not necessarily methods that had been previously conceived or adopted. Unless otherwise specified, no method described in this section should be assumed to be prior art simply because it is included in this section. Similarly, unless otherwise specified, the issues mentioned in this section should not be considered to be accepted in any prior art. Summary of the Invention

[0005] This invention addresses the technical problems existing in the prior art by providing a method and system for intelligent geotechnical engineering design based on a three-dimensional digital model, enabling intelligent design of geotechnical engineering projects based on a three-dimensional digital model. The method uses a three-dimensional digital model as the basic data, serving as a key input condition for intelligently selecting and recommending design parameters and schemes from a knowledge base. The knowledge base is the core, including specialized libraries built for specific scenarios or general libraries contained in language-based AI models, capable of intelligently recommending design parameters and schemes based on input conditions. Three-dimensional graphics technology is an application technology based on the three-dimensional digital model to complete three-dimensional design, obtaining results that meet engineering design requirements. Through the interaction between the engineering three-dimensional digital model and the AI ​​algorithm, intelligent geotechnical engineering design is achieved. The three-dimensional digital model includes a three-dimensional geological model and a geotechnical engineering contour design model. Geotechnical engineering includes slopes, foundation pits, and caverns. The intelligent design content includes geotechnical engineering contour design and support scheme design. The support scheme is a combination of reinforcement components (anchor bolts, anchor cables, retaining walls, etc.). Intelligent design of geotechnical engineering profiles uses topographic and geological conditions (including geological zoning and corresponding parameters) contained in a 3D geological model as basic data, and a knowledge base built according to specific industry regulations, engineering examples, and even expert experience as the core of intelligent recommendations. When designing geotechnical engineering based on a 3D geological model, it intelligently recommends design parameters for slope and foundation pit profiles, and then automatically completes the corresponding slope profile design using appropriate 3D graphics technology. Intelligent design of support schemes, after completing the geotechnical engineering profile design models of slopes, foundation pits, and underground caverns based on the 3D geological model, uses the design model containing geological conditions as basic data and a support scheme knowledge base built according to specific industry regulations as a basis to intelligently recommend support schemes and complete the layout design of the support schemes using appropriate 3D graphics technology.

[0006] As a first aspect of the present invention, a geotechnical engineering intelligent design method based on a three-dimensional digital model is provided, comprising:

[0007] S100, the geological data relied upon for intelligent design of geotechnical engineering profiles is contained in a three-dimensional geological model. This model consists of geometric profiles, geological zones, and parameters. The geometric profiles refer to the geometric shapes of boundaries such as topography, strata lithology, geological structures, and groundwater levels. Geological zones and parameters refer to the engineering geological zoning model and corresponding parameter values, specifically related to the geotechnical engineering type and industry design requirements. For example, the geological zones for intelligent design of slope profile parameters are lithology and rock mass structure zones; the geological zones for intelligent design of underground cavern support systems are surrounding rock quality grade zones. Parameters refer to physical and mechanical parameters, including unit weight, deformation parameters, and strength parameters.

[0008] As a preferred option, the three-dimensional geological model zoning required for the design of soil slopes and foundation pit outlines includes, but is not limited to, zoning models based on soil type or weathering degree.

[0009] As a preferred option, the three-dimensional geological model partitioning required for the design of rock slopes and foundation pit outlines includes, but is not limited to, rock mass structure partitioning models such as granular, fragmented, and blocky fracture partitioning models.

[0010] As a preferred option, the geological model zoning required for the support design of underground cavern engineering includes, but is not limited to, the surrounding rock quality grade (RMR, BQ, HC, Q) zoning model, where RMR, BQ, HC and Q represent different surrounding rock quality grading methods;

[0011] The knowledge base constructed in S200 is the core of realizing intelligent design in geotechnical engineering. It is built upon a professional methodology knowledge base integrating design schemes and requirements stipulated in industry regulations and standards, engineering cases, and even expert experience. The professional methodology knowledge base is categorized according to geotechnical engineering types and industry technical requirements (standards), allowing for indexing of appropriate design methods based on the required geotechnical engineering type and corresponding industry requirements. On this basis, computer coding technology is used to construct an executable knowledge base, including a contour parameter knowledge base and a support scheme knowledge base. The contour parameter knowledge base is applicable to slopes and foundation pits, intelligently recommending corresponding design parameters based on the conditions in the 3D geological model corresponding to a given location in the initial design contour. Similarly, the support scheme knowledge base intelligently recommends appropriate support schemes based on the geotechnical engineering contour and its corresponding geological conditions.

[0012] As a preferred option, the knowledge base on which intelligent design of geotechnical engineering relies can be specially constructed according to specific requirements and application scenarios, or it can be a general knowledge base that may already exist and be included in general-purpose language AI models such as DeepSeek, ChatGPT, and OpenAI.

[0013] As a preferred option, industry standards for constructing a knowledge base of slope and foundation pit outline design methods include, but are not limited to, "Code for Design of Slopes in Hydropower Engineering (NB / T10512-2021), Code for Design of Slopes in Water Conservancy and Hydropower Engineering (SL 386-2007), and Code for Design of Foundation Pit Engineering (DBJ 08-61-1997)".

[0014] As a preferred option, industry standards for constructing a knowledge base of slope, foundation pit, and cavern support design methods include, but are not limited to, "Technical Specification for Anchor-Sprayed Support in Water Conservancy and Hydropower Engineering (SL 377-2007) and Technical Specification for Foundation Pit Support in Buildings (JGJ 120-2012)". For the selected industry standards, the support scheme mainly depends on the excavation scale determined by the initial outline and the geological conditions (zoning and parameters) corresponding to different parts.

[0015] As a preferred approach, the construction of the geotechnical engineering intelligent design knowledge base method uses computer programming technology to realize the automatic application of the above-mentioned professional methods. The executable program formed by coding can intelligently obtain the corresponding contour design parameters or support schemes by using the constructed knowledge base as an index based on the input conditions.

[0016] Whether it's a specially constructed dedicated knowledge base or a general knowledge base included in existing language-based AI models, when used for intelligent design in geotechnical engineering, it's necessary to establish a two-way input-output interaction with the 3D model: the input data for accessing the knowledge base comes from the 3D digital model, and the intelligent recommendation results obtained from the knowledge base are directly used to supplement and improve the 3D digital model, thus realizing intelligent design in 3D form.

[0017] Preferably, when constructing a knowledge base specifically for intelligent geotechnical engineering design, a unique index that can be identified by both the knowledge base and the 3D digital model is defined to establish a two-way interaction between the two, thereby realizing 3D intelligent geotechnical engineering design based on the knowledge base.

[0018] Preferably, when using an existing general-purpose language AI model service for intelligent geotechnical engineering design, the input text required by the AI ​​model is accessed, and the corresponding information is extracted from the 3D digital model and converted. Specifically, the input text required for intelligent recommendation of slope and foundation pit outline design parameters comes from the 3D geological model, and the input text required for intelligent recommendation of support schemes comes from the 3D design model containing geological information.

[0019] Preferably, when referencing text results obtained from existing language-based AI models, it is necessary to convert them into input parameters or operations that modify and improve the 3D digital model. Specifically, in the 3D contour design of slopes and foundation pits, the output text is converted into numerical values ​​for design parameters such as slope ratio, ramp width, and terrace slope height at given locations. For support design, the output text description needs to be converted into operations for selecting support schemes and parameters, where the support schemes and parameters are components of a pre-built resource library.

[0020] S400. When intelligently designing the excavation contours of specific slopes and foundation pits according to the required industry standards, the initial contour is first generated using techniques such as offset algorithms. Then, the geological conditions of different areas in the initial contour are determined by the intersection relationship between the initial contour and the geological zones in the three-dimensional geological model, and converted into the input data required by the knowledge base. Using this data as an index, recommended design parameters, including slope ratio, step height, and ramp width, are automatically obtained from the contour parameter knowledge base. Finally, the initial contour is automatically updated using three-dimensional graphics technology to complete the intelligent design of the slope and foundation pit contour morphology based on the three-dimensional geological model and industry knowledge.

[0021] As a preferred option, the offset algorithm for generating the initial contour is used for irregular spatial curves (slope lines). Multiple contour lines are obtained through the offset algorithm and connected to each other to form an initial contour surface, which is composed of multiple interconnected unit surfaces. The unit surface is defined by line segments with connection relationships in the contour lines.

[0022] As a preferred option, the 3D graphics technology that automatically updates the initial contour is developed based on the principle of topological-continuous coupling. Topology refers to the mathematical logic that describes the spatial relationship between each unit surface in the contour surface, and continuity refers to the mathematical equation that the outer contour lines (line segments) of each unit surface obey.

[0023] S500: After completing the geotechnical engineering outline design based on the three-dimensional geological model and forming a three-dimensional digital model of the outline design including geological conditions, when intelligently designing support schemes for geotechnical engineering such as slopes, foundation pits, and underground caverns according to the required industry standards, it intelligently selects professional methods that meet the requirements of industry standards from the support scheme knowledge base based on the relationship between the specific engineering outline model and the geological zoning model, and realizes intelligent recommendation of support schemes; then, it uses the corresponding three-dimensional graphics technology to intelligently complete the support layout design.

[0024] Preferably, the support scheme consists of one or more reinforcement components and arrangement parameters. Reinforcement components refer to support units that can be applied and function independently. Reinforcement components are classified by geometry into one-dimensional (rod-like), two-dimensional (surface-like), and three-dimensional (pier, etc.). They are often manufactured from building materials or prefabricated components according to design parameters, such as anchor bolts, anchor cables, and shotcrete of given specifications. Arrangement parameters define the distribution of reinforcement components in the reinforced area (slope, tunnel wall), such as the spacing and row spacing of anchor bolts. The reinforcement components are combined into a whole according to the designed arrangement parameters; a close relationship is maintained between the support scheme, reinforcement components, and building materials.

[0025] As a preferred option, when arranging support schemes on slopes and excavation slopes, the intersection line of the excavation outline and the ground surface, i.e. the opening line, should be generated first, and the support arrangement should be limited to the slope surface within the opening line.

[0026] As a preferred option, when arranging support schemes for the excavation face of a cavern, the sidewalls, arches, and floor slabs should be distinguished and arranged separately depending on the type and outline of the cavern.

[0027] As a second aspect of the present invention, a geotechnical engineering intelligent design system based on a three-dimensional digital model is provided. The geotechnical engineering intelligent design system adopts a C / S or B / S architecture and consists of a resource layer, a logic layer, and an application layer.

[0028] The application layer is used to obtain user-inputted operation commands;

[0029] The logic layer is used to access and call resource layer data according to the operation commands input by the user obtained by the application layer, so as to realize the intelligent geotechnical engineering design method based on a three-dimensional digital model as described in the first aspect of the present invention.

[0030] The resource layer includes a geotechnical engineering design method knowledge base constructed using computer coding technology based on geotechnical engineering design standards and expert experience from different industries.

[0031] As a third aspect of the present invention, an electronic device is provided, comprising:

[0032] Memory, used to store computer software programs;

[0033] A processor is used to read and execute the computer software program, thereby realizing the intelligent geotechnical engineering design method based on a three-dimensional digital model as described in the first aspect of the present invention.

[0034] As a fourth aspect of the present invention, a non-transitory computer-readable storage medium is provided, wherein a computer software program is stored therein, and when the computer software program is executed by a processor, it implements the intelligent geotechnical engineering design method based on a three-dimensional digital model as described in the first aspect of the present invention.

[0035] The beneficial effects of this invention are as follows: This invention is an intelligent technical method for the application of digital results in geotechnical engineering, which has two beneficial effects: improving quality and efficiency. The improvement in quality is mainly manifested in ensuring that the design results meet industry requirements, effectively guaranteeing the quality of design results and controlling quality risks. The improvement in efficiency is reflected in several aspects: firstly, it reduces the learning and training costs for designers, enabling general designers to complete results that meet industry standards; secondly, it improves the efficiency of the work process, with intelligent recommendations and automatic corrections replacing traditional manual operations; and thirdly, due to the improvement in design quality, it significantly reduces the workload of the review and approval process, freeing up the productivity of senior technical personnel and increasing output. Attached Figure Description

[0036] Figure 1 A flowchart of an intelligent geotechnical engineering design method based on a three-dimensional digital model provided in an embodiment of the present invention;

[0037] Figure 2 A schematic diagram of geological zoning of a three-dimensional geological model provided in an embodiment of the present invention;

[0038] Figure 3 A schematic diagram of geotechnical parameters required for the design of geotechnical engineering slopes and foundation pits provided in the embodiments of the present invention;

[0039] Figure 4 A schematic diagram of rock mass parameters required for rock slope design provided in an embodiment of the present invention;

[0040] Figure 5 A schematic diagram of the initial profile of the slope based on intelligent recommendation of knowledge base provided for embodiments of the present invention;

[0041] Figure 6 This is a schematic diagram illustrating the acquisition of tunnel diameter and surrounding rock quality classification of typical tunnel sections from a digital model, provided as an embodiment of the present invention.

[0042] Figure 7 A schematic diagram illustrating the development of a support scheme based on the support parameters recommended by hydropower codes, provided for an embodiment of the present invention;

[0043] Figure 8 This invention provides an intelligent design method for the support layout of typical sections of each tunnel segment.

[0044] Figure 9 A schematic diagram of the structure of an intelligent geotechnical engineering design system based on a three-dimensional digital model is provided for an embodiment of the present invention;

[0045] Figure 10 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0046] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0047] In the description of this application, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the stated features. In the description of this application, "multiple" means two or more, unless otherwise explicitly specified.

[0048] In the description of this application, the term "for example" is used to mean "used as an example, illustration, or description." Any embodiment described as "for example" in this application is not necessarily to be construed as being more preferred or advantageous than other embodiments. The following description is provided to enable any person skilled in the art to make and use the invention. Details are set forth in the following description for purposes of explanation. It should be understood that those skilled in the art will recognize that the invention can be made without using these specific details. In other instances, well-known structures and processes will not be described in detail to avoid obscuring the description of the invention with unnecessary detail. Therefore, the invention is not intended to be limited to the embodiments shown, but is consistent with the broadest scope of the principles and features disclosed in this application.

[0049] Figure 1 This is a flowchart illustrating an intelligent geotechnical engineering design method based on a three-dimensional digital model, as provided in this embodiment of the invention. Figure 1 As shown, the intelligent design method includes:

[0050] S100, Obtain a three-dimensional geological model, which contains the data information required and specified for geotechnical engineering design; the geotechnical engineering design includes the outline design of slopes and foundation pits and the support design of slopes, foundation pits and underground caverns.

[0051] A three-dimensional geological model consists of geometric contours, geological zones, and parameters. For example... Figure 2 The geometric outline of the three-dimensional geological model shown includes the geometric outline of geological boundaries such as topography, stratigraphic lithology, geological structure, and groundwater; geological zoning and parameters refer to the engineering geological zoning model and the corresponding related parameter values, which are specifically related to the geotechnical engineering type and industry design requirements.

[0052] Geological model zoning required for slope and foundation pit design in geotechnical engineering includes zoning models based on soil type or weathering degree, such as... Figure 2 As shown, the three-dimensional geological model is divided into four geological zones based on weathering boundaries: completely weathered, strongly weathered, slightly weathered, and bedrock. Figure 3 The soil and rock parameters shown are the physical and mechanical parameter values ​​corresponding to each weathering degree zone in the three-dimensional geological model. The geological model zones required for rock slope design include rock mass structure or lithology zones, such as granular, fragmented, and blocky zones. Rock mass parameters are as follows: Figure 4 As shown, the geological model zoning required for the support design of underground cavern engineering is the surrounding rock quality grade zoning model. Different grading methods need to be adopted according to the characteristics of different industries. In the domestic hydropower industry, the HC surrounding rock grading method and RMR rock mass quality grading system are preferred. In other industries, the design specification based on BQ surrounding rock grading is preferred. In overseas engineering applications, the Q system is preferred.

[0053] S200, based on geotechnical engineering design standards of different industries and expert experience, uses computer coding technology to construct a geotechnical engineering design method knowledge base; the geotechnical engineering design method knowledge base is used to realize intelligent recommendation of contour design parameters and support design schemes based on the data information contained in the three-dimensional geological model.

[0054] The specific professional methods included in the knowledge base depend on the type of project (slope, foundation pit, underground cavern) and industry regulations and specifications. It includes a contour parameter knowledge base and a support scheme knowledge base. The contour parameter knowledge base is applicable to slopes and foundation pits and can intelligently recommend corresponding design parameters based on the conditions in the three-dimensional geological model corresponding to a given part in the initial design contour. The support scheme knowledge base can intelligently recommend corresponding support schemes based on the geotechnical engineering design contour and its corresponding geological conditions.

[0055] S300: Based on the three-dimensional geological model, complete the initial contour design of the slope and foundation pit, and obtain recommended contour design parameters from the geotechnical engineering design method knowledge base according to the geological conditions of any given location as input data; based on the recommended contour design parameters, automatically complete the correction of the initial contour of the slope and foundation pit using three-dimensional graphics technology to obtain the three-dimensional contour design model of geotechnical engineering.

[0056] After completing the initial outline design of the slope and foundation pit based on the three-dimensional geological model, such as Figure 5 As shown, by using the geological intersection lines between the initial contour and the geological zones in the 3D geological model, the geological conditions of different geological zones in the initial contour are determined. These serve as input data for the knowledge base. The system intelligently acquires design parameters such as slope ratio and terrace height at specified locations. The system's knowledge base automatically recommends slope ratio parameters for different geological zones based on geotechnical slope design standards and even expert experience. Figure 5 As shown, the initial slope profile adopts a design slope ratio of 1:0.2. Based on the intelligently recommended profile design parameters from the knowledge base, the slope ratios of different geological zones are adjusted. The slope ratio between the weakly weathered zone and the strongly weathered zone is adjusted to 1:0.5, and the slope ratio of the strongly weathered zone is adjusted to 1:0.7. When the slope ratios on the left and right sides of the same slope segment are inconsistent, a transition section is inserted to transform it into a twisted slope, while other sections remain non-twisted slopes. The left side of the transition section maintains a steep slope of 1:0.2, while the right side is adjusted to a gentle slope of 1:0.5. The initial profile is automatically corrected based on the intelligently recommended slope profile design parameters from the knowledge base, completing the intelligent design of the slope and foundation pit profile morphology based on the three-dimensional geological model and industry knowledge and experience.

[0057] After completing the geotechnical engineering outline design based on a 3D geological model and forming a 3D digital model of the outline design including geological conditions, S400 intelligently designs support schemes for geotechnical engineering such as slopes, foundation pits, and underground caverns according to the required industry standards. Based on the relationship between the specific engineering outline model and the geological zoning model, it intelligently selects professional methods that meet the requirements of industry standards from the support scheme knowledge base to achieve intelligent recommendation of support schemes; then, it uses corresponding 3D graphics technology to intelligently complete the support layout design.

[0058] Taking the support design of hydraulic tunnels as an example, the tunnel design model is first segmented according to the geological zoning of the input 3D geological model. Then, based on the segmentation results, the surrounding rock quality of each tunnel segment in each geological zone is classified. The surrounding rock mechanical parameters of each tunnel segment are calculated based on the input geostress parameters and used as input data for each segment. The knowledge base can intelligently formulate corresponding reinforcement schemes based on the support parameters recommended by specifications and even expert experience. Figure 6 As shown, when there is a risk of rockburst in the tunnel section, the improved Ontario method is used for verification and intelligent recommendation of reinforcement design schemes. When there is a risk of large deformation, the convergent strain method (CCM) is used for verification and intelligent recommendation of support design schemes. In addition, according to the specific characteristics of different engineering objects, support parameters recommended by the Q method and hydroelectric codes (such as...) can also be used. Figure 7 (As shown) A support plan is formulated. The knowledge base determines the potential safety risk level, location, and type based on relevant parameters and industry standards / safety requirements from the calculation results. It intelligently selects reinforcement measures and recommends candidate layout schemes for the arch, sidewalls, and floor slab of typical sections in each tunnel segment, such as... Figure 8 As shown.

[0059] like Figure 9 As shown in the figure, this embodiment of the invention also provides an intelligent geotechnical engineering design system based on a three-dimensional digital model. The intelligent geotechnical engineering design system adopts a C / S or B / S architecture and consists of a resource layer, a logic layer, and an application layer, wherein:

[0060] The application layer is used to obtain user-inputted operation commands;

[0061] The logic layer is used to access and call resource layer data according to the operation commands input by the user obtained by the application layer, so as to realize the intelligent geotechnical engineering design method based on a three-dimensional digital model as described in the first aspect of the present invention.

[0062] The resource layer includes a geotechnical engineering design method knowledge base constructed using computer coding technology based on geotechnical engineering design standards and expert experience from different industries.

[0063] The system incorporates a geotechnical engineering design method knowledge base built based on design specifications and expert experience from various industries. Computer coding is then used to access this knowledge base, resulting in a contour parameter knowledge base and a support scheme knowledge base with intelligent recognition and recommendation capabilities. The system adopts a C / S or B / S architecture, consisting of a resource layer, a method layer, and an application layer. The resource layer contains geotechnical engineering design methods and even expert experience required by design specifications from different industries. The logic layer contains various algorithms for accessing and using the resource layer, as well as technologies for editing and displaying results, including but not limited to bias algorithms and 3D graphics technology for geotechnical engineering design. The application layer consists of operation commands; all operations are completed within the intelligent system, allowing users to complete the intelligent design of specific geotechnical engineering projects.

[0064] According to one aspect of the present invention, an electronic device is also disclosed, 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, the instructions being executed by the at least one processor to enable the at least one processor to perform the above-described method.

[0065] According to one aspect of the present invention, a non-transitory computer-readable storage medium is also disclosed, wherein computer instructions are stored therein, which, when executed by a computer, implement the above-described method.

[0066] According to one aspect of the present invention, a computer program product is also disclosed, comprising a computer program, wherein,

[0067] The computer program implements the above method when executed by the processor.

[0068] refer to Figure 10 The present invention describes a structural block diagram of an electronic device 600 that can serve as a server or client of the present disclosure, which is an example of a hardware device that can be applied to various aspects of the present disclosure. The electronic device is intended to represent various forms of digital electronic computer devices, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the present disclosure described and / or claimed herein.

[0069] like Figure 10As shown, the electronic device 600 includes a computing unit 601, which can perform various appropriate actions and processes based on a computer program stored in a read-only memory (ROM) 602 or a computer program loaded from a storage unit 608 into a random access memory (RAM) 603. The RAM 603 may also store various programs and data required for the operation of the electronic device 600. The computing unit 601, ROM 602, and RAM 603 are interconnected via a bus 604. An input / output (I / O) interface 605 is also connected to the bus 604.

[0070] Multiple components in electronic device 600 are connected to I / O interface 605, including: input unit 606, output unit 607, storage unit 608, and communication unit 609. Input unit 606 can be any type of device capable of inputting information to electronic device 600. Input unit 606 can receive input digital or character information and generate key signal inputs related to user settings and / or function control of electronic device, and can include, but is not limited to, a mouse, keyboard, touchscreen, trackpad, trackball, joystick, microphone, and / or remote control. Output unit 607 can be any type of device capable of presenting information, and can include, but is not limited to, a monitor, speaker, video / audio output terminal, vibrator, and / or printer. Storage unit 608 can include, but is not limited to, disk and optical disk. Communication unit 609 allows electronic device 600 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks, and can include, but is not limited to, modems, network cards, infrared communication devices, wireless communication transceivers, and / or chipsets, such as Bluetooth™ devices, 802.11 devices, WiFi devices, WiMax devices, cellular communication devices, and / or the like.

[0071] The computing unit 601 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the computing unit 601 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 601 performs the various methods and processes described above, such as image processing methods. For example, in some embodiments, the image processing method may be implemented as a computer software program tangibly contained in a machine-readable medium, such as storage unit 608. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 600 via ROM 602 and / or communication unit 609. When the computer program is loaded into RAM 603 and executed by the computing unit 601, one or more steps of the image processing method described above may be performed. Alternatively, in other embodiments, the computing unit 601 may be configured to perform image processing methods by any other suitable means (e.g., by means of firmware).

[0072] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0073] The program code used to implement the methods of this disclosure may be written in any combination of one or more programming languages. This program code may be provided to a processor or controller of a general-purpose computer, special-purpose computer, or other programmable data processing apparatus, such that when executed by the processor or controller, the program code causes the functions / operations specified in the flowcharts and / or block diagrams to be implemented. The program code may be executed entirely on a machine, partially on a machine, as a standalone software package partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0074] In the context of this disclosure, a machine-readable medium can be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. Machine-readable media can be, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0075] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device for displaying information to the user (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor); and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the computer. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0076] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as a data server), or computing systems that include middleware components (e.g., an application server), or computing systems that include frontend components (e.g., a user computer with a graphical user interface or web browser through which a user can interact with embodiments of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., a communication network). Examples of communication networks include local area networks (LANs), wide area networks (WANs), and the Internet.

[0077] Computer systems can include clients and servers. Clients and servers are generally located far apart and typically interact via communication networks. Client-server relationships are created by computer programs running on the respective computers and having a client-server relationship with each other. Servers can be cloud servers, servers in distributed systems, or servers incorporating blockchain technology.

[0078] It should be understood that the various forms of processes shown above can be used to rearrange, add, or delete steps. For example, the steps described in this disclosure can be performed in parallel, sequentially, or in a different order, as long as the desired result of the technical solution disclosed in this disclosure can be achieved, and this is not limited herein.

[0079] While embodiments or examples of this disclosure have been described with reference to the accompanying drawings, it should be understood that the methods, systems, and devices described above are merely exemplary embodiments or examples, and the scope of the invention is not limited by these embodiments or examples, but only by the granted claims and their equivalents. Various elements in the embodiments or examples may be omitted or replaced by their equivalents. Furthermore, the steps may be performed in a different order than that described in this disclosure. Further, various elements in the embodiments or examples may be combined in various ways. Importantly, as the technology evolves, many elements described herein can be replaced by equivalents that appear after this disclosure.

Claims

1. A geotechnical engineering intelligent design method based on a three-dimensional digital model, characterized in that, include: S100, Obtain a three-dimensional geological model, which contains the data information required and specified for geotechnical engineering design; the geotechnical engineering design includes the outline design of slopes and foundation pits and the support design of slopes, foundation pits and underground caverns. S200, based on geotechnical engineering design standards, engineering cases, and expert experience from different industries, uses computer coding technology to construct a geotechnical engineering design method knowledge base; the geotechnical engineering design method knowledge base includes a contour parameter knowledge base and a support scheme knowledge base, which are used to realize intelligent recommendation of contour design parameters and support design schemes based on the data information contained in the three-dimensional geological model; S300, based on the three-dimensional geological model, complete the initial contour design of the slope and foundation pit, and obtain recommended contour design parameters from the geotechnical engineering design method knowledge base according to the geological conditions of any given location as input data. Based on the recommended contour design parameters, the initial contours of slopes and foundation pits are automatically corrected using three-dimensional graphics technology to obtain a three-dimensional contour design model for geotechnical engineering. S400, Based on the input data of the geotechnical engineering three-dimensional contour design model, obtain a recommended geotechnical engineering support design scheme from the geotechnical engineering design method knowledge base; Step S300 includes: The initial contour is generated using an existing bias algorithm; By identifying the intersection relationship between the initial contour and the geological zones in the 3D geological model, the geological conditions of different regions in the initial contour are determined, and the input data required for using the contour parameter knowledge base is obtained. After converting the geological conditions of different regions in the initial profile into an index, design parameters that meet industry specifications and practice standards are obtained from the profile parameter knowledge base. Using the design parameters, the initial outline is automatically corrected and updated using 3D graphics technology, thus completing the intelligent design of slope and foundation pit outlines based on 3D geological models and industry knowledge and experience.

2. The intelligent design method for geotechnical engineering according to claim 1, characterized in that, The data information contained in the three-dimensional geological model includes geometric contours, geological zones, and suggested parameters, which together constitute all the exploration results required for geotechnical engineering design. Among them, geometric contour refers to the geometric contour shape of different geological boundaries, including the boundaries of topography, stratigraphy, geological structure, and groundwater level; geological zoning and parameters refer to the engineering geological zoning model and the corresponding related parameter values. The geological zoning includes lithology zoning or rock mass structure zoning required for intelligent design of slope and foundation pit contour parameters, and surrounding rock quality grade zoning for intelligent design of underground cavern support schemes; the parameters refer to physical and mechanical parameters, including unit weight, deformation parameters, and strength parameters.

3. The intelligent design method for geotechnical engineering according to claim 2, characterized in that, Step S200 includes: Based on geotechnical engineering types and industry technical requirements, geotechnical engineering design standards, engineering cases, and expert experience in different industries are classified, and corresponding indexes are designed so that the geotechnical engineering type and the corresponding industry requirements can be indexed to the appropriate design method. An accessible knowledge base is constructed using computer coding technology, including a contour parameter knowledge base and a support scheme knowledge base. The contour parameter knowledge base is applicable to slopes and foundation pits and is used to intelligently recommend corresponding design parameters based on the conditions in the three-dimensional geological model corresponding to a given part in the initial design contour. The support scheme knowledge base is used to intelligently recommend corresponding support schemes based on the geotechnical engineering contour and its corresponding geological conditions.

4. The intelligent design method for geotechnical engineering according to claim 3, characterized in that, When implementing intelligent geotechnical engineering design by accessing a knowledge base, a two-way input and output interaction is established between the knowledge base and the 3D digital model: The input information required to access the knowledge base comes from the three-dimensional digital model of geotechnical engineering and is converted into the index on which the knowledge base depends. The output results after accessing the knowledge base through the index are converted into parameters or operations for modifying and improving the three-dimensional digital model of geotechnical engineering, thereby realizing intelligent design in three dimensions.

5. The intelligent design method for geotechnical engineering according to claim 3, characterized in that, Step S400 includes: Based on the relationship between the specific engineering outline model and the geological zoning model, the system intelligently selects support schemes that meet industry standards from the support scheme knowledge base, thereby achieving intelligent recommendation of support schemes. The support scheme consists of one or more reinforcement components, which are classified into one-dimensional, two-dimensional and three-dimensional geometric shapes and are combined into a whole according to the design layout parameters. The reinforcement components are processed from building materials or prefabricated parts according to the design parameters. A close relationship must be maintained between the support scheme, reinforcement components, and building materials; The intelligent design of the support scheme involves using three-dimensional graphics technology to complete the spatial arrangement of each reinforcement component in the reinforcement scheme based on the support scheme and parameters recommended by the knowledge base and the designed layout parameters.

6. A geotechnical engineering intelligent design system based on a three-dimensional digital model, characterized in that, The intelligent geotechnical engineering design system consists of a resource layer, a logic layer, and an application layer, wherein: The application layer is used to obtain user-inputted operation commands; The logic layer is used to access and call resource layer data according to the operation commands input by the user obtained by the application layer, so as to realize the intelligent geotechnical engineering design method based on a three-dimensional digital model as described in any one of claims 1-5. The resource layer includes a geotechnical engineering design method knowledge base constructed using computer coding technology based on geotechnical engineering design standards, engineering cases, and expert experience from different industries.

7. An electronic device, characterized in that, include: Memory, used to store computer software programs; A processor is used to read and execute the computer software program, thereby implementing the intelligent geotechnical engineering design method based on a three-dimensional digital model as described in any one of claims 1-5.

8. A non-transitory computer-readable storage medium, characterized in that, The storage medium stores a computer software program, which, when executed by a processor, implements the intelligent geotechnical engineering design method based on a three-dimensional digital model as described in any one of claims 1-5.

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