Geotechnical engineering intelligent design method and system based on three-dimensional digital model

Abstract

The invention relates to a geotechnical engineering intelligent design method and system based on a three-dimensional digital model, the three-dimensional digital model comprises a three-dimensional geologic model and a geotechnical engineering contour design model, and the intelligent design comprises excavation contour design and support scheme design. The method is composed of three key links: 1, input data required by intelligent design is formed according to the requirements of contents contained in a three-dimensional digital model; secondly, for specific engineering types, according to design methods and requirements agreed by industry regulations and specifications or existing engineering cases, a knowledge base is constructed by adopting a computer coding technology, and design parameters meeting industry requirements can be intelligently recommended by using the knowledge base and taking information contained in the three-dimensional digital model as input data; and thirdly, a geotechnical engineering three-dimensional digital technology required by design work is completed according to intelligently recommended design parameters, corresponding design work is automatically completed through a software system, and geotechnical engineering intelligent design based on a three-dimensional digital model is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of civil engineering, and particularly relates to an intelligent design method and system for geotechnical engineering based on a three-dimensional digital model. Background Art

[0002] After more than 20 years of development, three-dimensional geological modeling technology has begun to be widely used in the fields of resource exploitation and infrastructure construction. The geological exploration results formed by three-dimensional digital models provide sufficient basis for the three-dimensional design of slopes, foundation pits, and underground projects, and continuously promote the development and application of three-dimensional design technology for geotechnical engineering. CN114036609A describes a method for three-dimensional contour design of slopes that couples parameterization and non-parameterization. CN118673552A describes a method for generating the three-dimensional contour of an excavated slope. CN118332834A describes a method for recording random geological information of the axis of a tunnel (underground chamber), serving the analysis and evaluation of tunnel section segmentation and the deformation stability of surrounding rocks in each tunnel section. CN116595704A further proposes an intelligent analysis method for the deformation stability of tunnel surrounding rocks. Even so, the three-dimensional design of the contour shapes of slopes and foundation pits still depends on parameters input manually. These parameters often depend on specific geological conditions and the requirements of industry regulations and specifications. To construct the required three-dimensional design model results using these input parameters, different three-dimensional graphic technologies and methods are needed.

[0003] Currently, the determination of geotechnical engineering design parameters and support schemes in the manual operation mode requires designers to have a high level of professional knowledge reserve. It can only be completed to meet the requirements of industry standards after a long time of learning and training and the accumulation of design experience. Moreover, the design operation process of manual operation is inefficient and time-consuming. The uneven professional levels of designers cannot guarantee the quality of design results and control quality risks, greatly increasing the workload of the result review process and also resulting in the occupation of a large amount of the productivity of senior technical personnel in the result review process. The emergence of language-based large models and the preliminary application of generative artificial intelligence technology provide new ideas for efficient intelligent design in the field of geotechnical engineering. However, the input conditions and output results of language-based AI models are still text, and there are still significant differences between them and the standardized engineering drawings and three-dimensional digital models relied on in geotechnical engineering practice. The application of language-based AI models in the field of geotechnical engineering must achieve interaction with three-dimensional digital models.

[0004] The methods described in this section are not necessarily methods that have been previously envisioned or adopted. Unless otherwise specified, no method described in this section should be considered prior art solely because it is included in this section. Similarly, unless otherwise specified, the problems mentioned in this section should not be considered to have been recognized in any prior art. Summary of the Invention

[0005] In view of the technical problems existing in the prior art, the present invention provides a geotechnical engineering intelligent design method and system based on a three-dimensional digital model for realizing the intelligent design of geotechnical engineering based on the three-dimensional digital model. This method uses the three-dimensional digital model as the basic data, which is the key input condition for intelligently selecting and recommending design parameters and solutions from the knowledge base; the knowledge base is the core, including a professional library constructed for specific scenarios or a general library included in a language-based AI model, and can intelligently recommend design parameters and design solutions according to the input conditions; the three-dimensional graphics technology is an application technology for completing three-dimensional design based on the three-dimensional digital model, obtaining results that meet the engineering design requirements, and completing the intelligent design of geotechnical engineering through the interaction between the engineering three-dimensional digital model and the AI algorithm. 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 underground chambers. The intelligent design content includes geotechnical engineering contour design and support scheme design. The support scheme is a combination of reinforcement members (anchor bolts, cable bolts, retaining walls, etc.). The intelligent design of the geotechnical engineering contour is based on the terrain and geological conditions (including geological zoning and corresponding parameters) included in the three-dimensional geological model as the basic data, and the knowledge base constructed according to specific industry regulations, engineering examples, and even expert experience as the core of intelligent recommendation. When conducting geotechnical engineering design based on the three-dimensional geological model, it intelligently recommends the design parameters of the slope and foundation pit contour forms, and then uses the corresponding three-dimensional graphics technology to automatically complete the corresponding slope contour design; the intelligent design of the support scheme is to, after completing the geotechnical engineering contour design models such as slopes, foundation pits, and underground chambers in the three-dimensional geological model, use the design model including geological conditions as the basic data and the support scheme knowledge base constructed according to specific industry regulations as the basis, intelligently recommend the support scheme, and use the corresponding three-dimensional graphics technology to complete the layout design of the support scheme.

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

[0007] S100. The geological data relied on for the intelligent design of the geotechnical engineering contour is included in the three-dimensional geological model. The three-dimensional geological model is composed of a geometric contour, geological zoning, and parameters. The geometric contour therein refers to the geometric contour forms of boundaries such as terrain, stratigraphic lithology, geological structure, and groundwater level; the geological zoning and parameters refer to the engineering geological zoning model and the corresponding relevant parameter values, which are specifically related to the type of geotechnical engineering and industry design requirements; for example, the geological zoning for the intelligent design of slope contour parameters is the lithology and rock mass structure zoning, and the geological zoning for the intelligent design of the underground chamber support system is the surrounding rock quality grade zoning. The parameters refer to physical and mechanical parameters, including unit weight, deformation parameters, strength parameters, etc.;

[0008] Preferably, the three-dimensional geological model zoning required for the contour design of soil slopes and foundation pits includes, but is not limited to, the rock and soil type or weathering degree zoning model;

[0009] Preferably, the three-dimensional geological model zoning required for the design of rocky slopes and foundation pit contours includes, but is not limited to, rock mass structures, such as granular, fragmented, and blocky zoning models;

[0010] Preferably, the geological model zoning required for the support design of underground cavern projects includes, but is not limited to, the surrounding rock quality grade (RMR, BQ, HC, Q) zoning models, where RMR, BQ, HC, and Q represent different surrounding rock quality classification methods;

[0011] S200. The constructed knowledge base is the core of realizing intelligent design of geotechnical engineering. The knowledge base is constructed based on the design schemes and requirements stipulated in industry regulations and specifications, engineering cases, and even expert experience, integrating professional method knowledge bases. The construction of the professional method knowledge base is classified according to geotechnical engineering types and industry technical requirements (specifications), so that the corresponding design methods can be indexed according to the geotechnical engineering types to be designed and the industry requirements corresponding to the projects. On this basis, computer coding technology is used to construct an executable knowledge base, including contour parameter knowledge bases and support scheme knowledge bases; among them, the contour parameter knowledge base is applicable to slopes and foundation pits, and can intelligently recommend corresponding design parameters based on the conditions corresponding to the given parts in the initial design contour in the three-dimensional geological model; similarly, the support scheme knowledge base can intelligently recommend corresponding support schemes according to the geotechnical engineering contour and its corresponding geological conditions.

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

[0013] Preferably, the industry standards for constructing the knowledge base of slope and foundation pit contour design methods include, but are not limited to, "Code for Slope Design of Hydropower Projects (NB / T 10512-2021), Code for Slope Design of Water Resources and Hydropower Projects (SL 386-2007), Design Code for Foundation Pit Engineering (DBJ 08-61-1997)";

[0014] Preferably, the industry standards for constructing the knowledge base of slope, foundation pit, and cavern support design methods include, but are not limited to, "Technical Code for Shotcrete and Bolt Support of Water Resources and Hydropower Projects (SL 377-2007), Technical Specification for Building Foundation Pit Support (JGJ 120-2012)"; for the selected industry standards, the support scheme mainly depends on the excavation scale determined by the initial contour and the geological conditions (zoning and parameters) corresponding to different parts;

[0015] Preferably, the construction of the intelligent design knowledge base method for geotechnical engineering realizes the automatic application of the above-mentioned professional methods through computer programming technology. The executable program formed by coding can use the constructed knowledge base to index with input conditions and intelligently obtain the corresponding contour design parameters or support schemes;

[0016] S300. Whether it is a dedicated knowledge base specially constructed or a general knowledge base included in an existing language-based AI model, when used for intelligent design of geotechnical engineering, a two-way input and output interaction with the 3D model needs to be established: the input data on which the knowledge base depends for access 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, that is, to achieve intelligent design in 3D form.

[0017] Preferably, when constructing a knowledge base specifically for the intelligent design of geotechnical engineering, a two-way interaction between the two is established by defining an index that can be recognized by both the knowledge base and the 3D digital model and has uniqueness, so as to achieve 3D intelligent design of geotechnical engineering based on the knowledge base;

[0018] Preferably, when referring to an existing general language-based AI model to serve the intelligent design of geotechnical engineering, the input text required to access the AI model is converted after extracting the corresponding information from the 3D digital model. Among them, the input text required for intelligent recommendation of slope and foundation pit contour 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, the text results obtained by referring to an existing language-based AI model need to be converted into input parameters or operations for modifying and improving the 3D digital model. When designing the 3D contours of slopes and foundation pits, the output text is converted into numerical values of design parameters such as slope ratios, berm widths, and bench heights at given positions. For support design, the output text description needs to be converted into an operation for selecting support schemes and parameters, and the support schemes and parameters are components of the previously constructed resource library.

[0020] S400. When performing intelligent design of the excavation contours of specific slope and foundation pit projects according to the industry standards required, first use technologies such as offset algorithms to generate an initial contour, and then determine the geological conditions of different regions in the initial contour through the intersection relationship between the initial contour and the geological zoning in the 3D geological model, and convert them into the input data required for using the knowledge base; using these data as indexes, automatically obtain recommended design parameters from the contour parameter knowledge base, including slope ratios, bench heights, and berm widths, etc.; then use 3D graphics technology to automatically update the initial contour to complete the intelligent design of the slope and foundation pit contour shapes based on the 3D geological model and industry knowledge;

[0021] Preferably, the offset algorithm for generating the initial contour is applied to an irregular spatial curve (ramp line), and 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 unit surfaces connected to each other. The unit surface is defined by line segments with a connection relationship in the contour line.

[0022] Preferably, the 3D graphics technology for automatically updating the initial contour is developed based on the topology - continuity coupling principle. Topology refers to the mathematical logic describing the spatial relationship of each unit surface in the contour surface, and continuity refers to the mathematical equation followed by the outer contour lines (line segments) of each unit surface.

[0023] S500. After completing the geotechnical engineering contour design based on the 3D geological model and forming a 3D digital model of the contour design including geological conditions, when performing intelligent design of support schemes for geotechnical engineering such as slopes, foundation pits, and underground caverns according to the required industry standards, according to the mutual relationship between the specific engineering contour model and the geological zoning model, intelligent selection of professional methods that meet the requirements of industry codes is carried out in the support scheme knowledge base to achieve intelligent recommendation of support schemes; then, using the corresponding 3D graphics technology, intelligent completion of support layout design is carried out.

[0024] Preferably, the support scheme is composed of one or more reinforcement members and layout parameters. The reinforcement member refers to a support unit that can be applied and function independently. Reinforcement members are classified into one - dimensional (rod - shaped), two - dimensional (surface - shaped), and three - dimensional (such as piers) according to geometric shapes. Reinforcement members are often processed from building materials or prefabricated parts according to design parameters, such as bolts, cables, shotcrete layers, etc. with given specifications. The layout parameters define the distribution of reinforcement members in the reinforcement area (slope surface, cave wall), such as the spacing and row spacing of bolts. Reinforcement members are combined into a whole according to the designed layout parameters; there is a close correlation between the support scheme, reinforcement members, and building materials.

[0025] Preferably, when arranging the support scheme on the excavation slopes of slopes and foundation pits, the intersection line of the excavation contour and the ground surface, that is, the opening line, is first generated, and the support arrangement is limited to the slope surface within the opening line.

[0026] Preferably, when arranging the support scheme on the excavation surface of a cavern, depending on the type and contour shape of the cavern, the side walls, crown arch, and floor are distinguished and arranged separately.

[0027] As a second aspect of the present invention, a geotechnical engineering intelligent design system based on a 3D digital model is provided. The geotechnical engineering intelligent design system adopts a C / S or B / S architecture and is composed of a resource layer, a logic layer, and an application layer. Among them,

[0028] The application layer is used to obtain the operation commands input by the user.

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

[0030] The resource layer includes a knowledge base of geotechnical engineering design methods constructed by using computer coding technology according to geotechnical engineering design standards in different industries and expert experience.

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

[0032] A memory for storing computer software programs;

[0033] A processor for reading and executing the computer software program, and further implementing the intelligent geotechnical engineering design method based on the three-dimensional digital model as described in the first aspect of the present invention.

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

[0035] The beneficial effects of the present invention are as follows: The present invention is an intelligent technical method in the application process of geotechnical engineering digital achievements, and has beneficial effects in two aspects of improving quality and increasing efficiency. The improvement in quality is mainly manifested in that it can well ensure that the design results meet industry requirements, effectively guarantee the quality of design results and control quality risks; the increase in efficiency is manifested in multiple aspects. First, it reduces the learning and training costs of designers, enabling general designers to complete results that meet industry standard requirements; second, it is the efficiency of the operation process, and the intelligent operation of intelligent recommendation and automatic correction replaces traditional manual operations; third, because of the improvement in design quality, the workload of the review process is greatly reduced, liberating the productivity of senior technicians and increasing output. Description of the Drawings

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

[0037] Figure 2 It is a schematic diagram of the geological zoning of the three-dimensional geological model provided by the embodiment of the present invention;

[0038] Figure 3 It is a schematic diagram of the geotechnical parameters required for the design of geotechnical engineering slopes and foundation pits provided by the embodiment of the present invention;

[0039] Figure 4 It is a schematic diagram of the rock mass parameters required for the design of rock slopes provided by the embodiment of the present invention;

[0040] Figure 5 Schematic diagram of the initial slope profile corrected for design parameters based on intelligent recommendation from the knowledge base provided by the embodiments of the present invention;

[0041] Figure 6 Schematic diagram of obtaining the tunnel diameter and the surrounding rock mass quality classification of typical tunnel sections from the digital model provided by the embodiments of the present invention;

[0042] Figure 7 Schematic diagram of formulating a support plan according to the support parameters recommended by the hydropower code provided by the embodiments of the present invention;

[0043] Figure 8 Design plan for support layout of typical cross-sections of each tunnel section using an intelligent design method provided by the embodiments of the present invention;

[0044] Figure 9 Schematic diagram of the structure of a geotechnical engineering intelligent design system based on a three-dimensional digital model provided by the embodiments of the present invention;

[0045] Figure 10 Schematic diagram of the structure of an electronic device provided by the embodiments of the present invention. Detailed implementation manners

[0046] Next, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative efforts fall within the protection scope of the present application.

[0047] In the description of the present application, the terms "first" and "second" are only used for descriptive purposes, and cannot be understood as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include one or more of the described features. In the description of the present application, "a plurality" means two or more, unless otherwise specifically defined.

[0048] In the description of the present application, the term "for example" is used to mean "serving as an example, illustration, or explanation". Any embodiment described in the present application as "for example" is not necessarily to be construed as more preferred or advantageous than other embodiments. The following description is given to enable any person skilled in the art to implement and use the present invention. In the following description, details are set forth for purposes of explanation. It should be understood that those of ordinary skill in the art can recognize that the present invention can be implemented without these specific details. In other instances, well-known structures and processes are not elaborated in detail so as not to obscure the description of the present invention with unnecessary details. Therefore, the present invention is not intended to be limited to the embodiments shown, but is to be accorded the widest scope consistent with the principles and features disclosed in the present application.

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

[0050] S100, obtaining a three-dimensional geological model, where the three-dimensional geological model contains the data information required and specified for geotechnical engineering design; the geotechnical engineering design includes the contour design of slopes and foundation pits, and the support design of slopes, foundation pits, and underground cavities.

[0051] The three-dimensional geological model consists of a geometric contour, geological zoning, and parameters. As Figure 2 shown, the geometric contour of the three-dimensional geological model includes the geometric contour forms of geological boundaries such as topography, formation lithology, geological structure, and groundwater; the geological zoning and parameters refer to the engineering geological zoning model and the corresponding relevant parameter values, which are specifically related to the geotechnical engineering type and industry design requirements.

[0052] The geological model zoning required for geotechnical engineering slope and foundation pit design includes a zoning model of rock and soil types or weathering degrees. As Figure 2 shown, the three-dimensional geological model is cut into four geological zones of completely weathered, strongly weathered, slightly weathered, and bedrock according to the weathering interface. As Figure 3 shown, the geotechnical parameters are the physical and mechanical parameter values corresponding to each weathering degree zone of the three-dimensional geological model; the geological model zoning required for rock slope design includes a zoning of rock mass structures or lithologies, such as zoning models of loose bodies, fragmented rocks, and blocky fractures. The rock mass parameters are as Figure 4 shown; the geological model zoning required for the support design of underground cavity projects is a zoning model of surrounding rock mass quality grades, and different grading methods need to be adopted according to the characteristics of different industries. When applied in the domestic hydropower industry, the HC surrounding rock grading method and the RMR rock mass quality grading system are preferred. For other industries, the design code based on the BQ surrounding rock grading is preferred. When applied in overseas projects, the Q system is preferred.

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

[0054] The specific professional methods included in the knowledge base depend on the engineering type (slope, foundation pit, underground cavern) and the requirements of industry regulations and specifications, 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 can intelligently recommend corresponding design parameters based on the conditions corresponding to the given parts in the initial design contour in the three-dimensional geological model as the index; the support scheme knowledge base can intelligently recommend corresponding support schemes based on the design contour of the geotechnical engineering and its corresponding geological conditions.

[0055] S300. Based on the three-dimensional geological model, complete the initial contour design of slopes and foundation pits, and use the geological conditions of any given part as input data to obtain the recommended contour design parameters from the knowledge base of geotechnical engineering design methods; based on the recommended contour design parameters, use three-dimensional graphics technology to automatically correct the initial contours of slopes and foundation pits to obtain a three-dimensional contour design model of geotechnical engineering.

[0056] After completing the initial contour design of slopes and foundation pits based on the three-dimensional geological model, as Figure 5 shown, determine the geological conditions of different geological zones in the initial contour through the geological intersection line where the initial contour intersects with the geological zones in the three-dimensional geological model, and use them as the input data for the knowledge base. The system can intelligently obtain design parameters such as slope ratios and bench heights of specified parts. The system knowledge base will automatically recommend slope ratio parameters for different geological zones according to geotechnical slope design standards and even expert experience. As Figure 5 shown, the initial contour of the slope adopts a design slope ratio of 1:0.2. Adjust the slope ratios of different geological zones according to the contour design parameters intelligently recommended by the knowledge base. Adjust the slope ratio of the slope surface between the weakly weathered upper zone and the strongly weathered zone to 1:0.5, and adjust the slope ratio of the slope surface in the strongly weathered zone to 1:0.7. When the left and right slope ratios of the same slope section are inconsistent, insert a transition section to form a twisted slope, and keep the other parts non-twisted. Keep a steep slope of 1:0.2 on the left side of the transition section and adjust it to a gentle slope of 1:0.5 on the right side. Automatically correct the initial contour based on the slope contour design parameters intelligently recommended by the knowledge base to complete the intelligent design of the contour shapes of slopes and foundation pits based on the three-dimensional geological model and industry knowledge and experience.

[0057] For the S400, after completing the geotechnical engineering contour design based on the three-dimensional geological model and forming a three-dimensional digital model of the contour design including geological conditions, when performing intelligent design of support schemes for geotechnical engineering such as slopes, foundation pits, and underground caverns according to the required industry standards, according to the mutual relationship between the specific engineering contour model and the geological zoning model, professional methods that meet the requirements of industry codes are intelligently selected in the support scheme knowledge base to achieve intelligent recommendation of support schemes; then, using corresponding three-dimensional graphic technologies, intelligent completion of support layout design is achieved.

[0058] Taking the support design of a hydraulic tunnel as an example, first, the tunnel design model is segmented according to the geological zoning of the input three-dimensional geological model, then the surrounding rock quality of each geological zoning section of the tunnel is classified according to the segmentation results, and the mechanical parameters of the surrounding rock of each section are calculated based on the input in-situ stress parameters as the input data for each section. The knowledge base can intelligently formulate corresponding reinforcement schemes according to the support parameters recommended by the codes and even expert experience, such as Figure 6 As shown, when there is a risk of rockburst in a section of the tunnel, the improved Ontario method is used for review and intelligent recommendation of reinforcement design schemes. When there is a risk of large deformation, the convergence strain method (CCM) is used for review and intelligent recommendation of support design schemes; in addition, according to the specific characteristics of different engineering objects, support schemes can also be formulated according to the Q method and the support parameters recommended by the hydropower codes (such as Figure 7 As shown). The knowledge base determines the potential safety risk levels, locations, and types according to the relevant parameter indicators in the calculation results and industry standards / safety requirements, intelligently selects reinforcement measures and recommends candidate layout schemes for the crown, side walls, and floor of the typical cross-sections of each section of the tunnel, such as Figure 8 As shown.

[0059] Such as Figure 9 As shown, an embodiment of the present invention also provides a geotechnical engineering intelligent design system based on a three-dimensional digital model. 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, where:

[0060] The application layer is used to obtain the operation commands input by the user;

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

[0062] The resource layer includes a knowledge base of geotechnical engineering design methods constructed by using computer coding technology according to geotechnical engineering design standards and expert experience in different industries.

[0063] The system internally builds a knowledge base of geotechnical engineering design methods based on design specifications and expert experience in different industries, and then realizes access to the knowledge base through computer coding, that is, constructs 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 and consists of a resource layer, a method layer, and an application layer. The resource layer includes geotechnical engineering design methods required by design specifications in different industries and even expert experience. The logic layer includes various algorithms for accessing and using the resource layer, as well as technologies for editing and displaying results, including but not limited to offset algorithms, 3D graphics technologies for geotechnical engineering design, etc.; the application layer consists of operation commands, and all operations are completed within the intelligent system for users to complete the intelligent design of specific geotechnical engineering.

[0064] According to one aspect of an embodiment of the present invention, an electronic device is also disclosed, including: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the above method.

[0065] According to one aspect of an embodiment of the present invention, a non-transitory computer-readable storage medium is also disclosed, in which computer instructions are stored, and when the computer instructions are executed by a computer, the above method is implemented.

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

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

[0068] Reference Figure 10 , the structural block diagram of an electronic device 600 that can be used as a server or a client of the present disclosure will now be described. It 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 processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are only examples and are not intended to limit the implementation of the present disclosure described and / or claimed herein.

[0069] As Figure 10As shown, the electronic device 600 includes a computing unit 601, which can perform various appropriate actions and processes according to 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. In the RAM 603, various programs and data required for the operation of the electronic device 600 can also be stored. The computing unit 601, the ROM 602, and the RAM 603 are connected to each other via a bus 604. An input / output (I / O) interface 605 is also connected to the bus 604.

[0070] A plurality of components in the electronic device 600 are connected to the I / O interface 605, including: an input unit 606, an output unit 607, a storage unit 608, and a communication unit 609. The input unit 606 can be any type of device capable of inputting information into the electronic device 600. The input unit 606 can receive input digital or character information, and generate key signal inputs related to user settings and / or function controls of the electronic device, and can include, but are not limited to, a mouse, a keyboard, a touch screen, a trackpad, a trackball, a joystick, a microphone, and / or a remote control. The output unit 607 can be any type of device capable of presenting information, and can include, but are not limited to, a display, a speaker, a video / audio output terminal, a vibrator, and / or a printer. The storage unit 608 can include, but is not limited to, a magnetic disk, an optical disk. The communication unit 609 allows the electronic device 600 to exchange information / data with other devices via a computer network such as the Internet and / or various telecommunication networks, and can include, but are not limited to, a modem, a network card, an infrared communication device, a wireless communication transceiver, and / or a chipset, such as a BluetoothTM device, an 802.11 device, a WiFi device, a WiMax device, a cellular communication device, and / or the like.

[0071] The computing unit 601 can be various 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 dedicated 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 executes the various methods and processes described above, such as the image processing method. For example, in some embodiments, the image processing method can be implemented as a computer software program tangibly embodied in a machine-readable medium, such as the storage unit 608. In some embodiments, part or all of the computer program can be loaded and / or installed onto the electronic device 600 via the ROM 602 and / or the communication unit 609. When the computer program is loaded into the RAM 603 and executed by the computing unit 601, one or more steps of the image processing method described above can be executed. Alternatively, in other embodiments, the computing unit 601 can be configured to execute the image processing method by any other suitable means (e.g., by means of firmware).

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

[0073] The program code for implementing the methods of the present disclosure can be written in any combination of one or more programming languages. These program codes can be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when the program codes are executed by the processor or controller, the functions / operations specified in the flowcharts and / or block diagrams are implemented. The program code can be executed entirely on the machine, partially on the machine, as an independent software package partially on the 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 can contain or store a program for use by or in connection 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. A machine-readable medium can include, 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 a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, a portable compact disc read-only memory (CD ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0075] To provide for interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which the user can provide input to the computer. Other kinds of devices can also be used to provide for 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 acoustic, speech, or tactile input).

[0076] The systems and techniques described herein can be implemented in a computing system that includes a back-end component (e.g., as a data server), or a computing system that includes a middleware component (e.g., an application server), or a computing system that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which the user can interact with an implementation of the systems and techniques described herein), or a computing system that includes any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), and the Internet.

[0077] A computer system can include a client and a server. The client and the server are generally remote from each other and typically interact through a communication network. The client-server relationship is generated by computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, a server of a distributed system, or a server incorporating a blockchain.

[0078] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this disclosure can be executed in parallel, sequentially, or in a different order, as long as the desired results of the technical solutions disclosed in this disclosure can be achieved, and no limitations are imposed herein.

[0079] Although embodiments or examples of this disclosure have been described with reference to the accompanying drawings, it should be understood that the above methods, systems, and devices are merely exemplary embodiments or examples, and the scope of the present invention is not limited by these embodiments or examples, but is only defined by the authorized claims and their equivalent scope. Various elements in the embodiments or examples can be omitted or replaced by their equivalent elements. In addition, the steps can be executed in an order different from that described in this disclosure. Further, the various elements in the embodiments or examples can be combined in various ways. Importantly, as technology evolves, many of the elements described herein can be replaced by equivalent elements that emerge after this disclosure.

Claims

1. A geotechnical engineering intelligent design method based on a three-dimensional digital model, characterized in that: include: S100, obtaining a three-dimensional geological model, wherein the three-dimensional geological model contains data information required and specified for geotechnical engineering design; the geotechnical engineering design includes the contour design of the slope, foundation pit and the support design of the slope, foundation pit and underground cavern; S200, based on geotechnical engineering design standards, engineering cases and expert experience in different industries, uses computer coding technology to build 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 solutions based on the data information contained in the three-dimensional geological model; S300, completing the initial contour design of the slope and foundation pit based on the three-dimensional geological model, and obtaining recommended contour design parameters from the geotechnical engineering design method knowledge base according to the geological conditions of any given part as input data; Based on the recommended contour design parameters, the initial contours of the slope and foundation pit are automatically modified using three-dimensional graphics technology to obtain a three-dimensional contour design model for geotechnical engineering; S400, obtaining a recommended geotechnical engineering support design solution from the geotechnical engineering design method knowledge base according to the input data of the geotechnical engineering three-dimensional contour design model.

2. The geotechnical engineering intelligent design method according to claim 1, characterized in that: The data information contained in the three-dimensional geological model includes geometric contours, geological divisions and recommended parameters, which together constitute all the survey results required for geotechnical engineering design; Among them, geometric contours refer to the geometric contour forms of different geological boundaries, and the different geological boundaries include the boundaries of topography, stratigraphic lithology, geological structure, and groundwater level; geological zoning and parameters refer to engineering geological zoning models and corresponding relevant parameter values, and the geological zoning includes the lithology zoning or rock structure zoning required for the intelligent design of slope and foundation pit contour parameters, and the surrounding rock quality grade zoning that serves the intelligent design of underground cavern support schemes; the parameters refer to physical and mechanical parameters, including bulk density, deformation parameters, strength parameters, etc.

3. The geotechnical engineering intelligent design method according to claim 2, characterized in that: Step S2 includes: According to the geotechnical engineering type and industry technical requirements, the geotechnical engineering design standards, engineering cases and expert experience of different industries are classified, and corresponding indexes are designed so that the corresponding design methods can be indexed according to the geotechnical engineering type to be designed and the corresponding industry requirements of the engineering; Computer coding technology is used to construct an accessible knowledge base, including a design parameter knowledge base of geotechnical engineering contours and a support scheme knowledge base; among them, 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 the given parts in the initial design contour; the support scheme knowledge base is used to intelligently recommend corresponding support schemes based on the geotechnical engineering contours and their corresponding geological conditions.

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

5. The geotechnical engineering intelligent design method according to claim 3, characterized in that: Step S3 includes: An existing bias algorithm is used to generate an initial contour; By intersecting the initial contour with the geological partitions in the three-dimensional geological model, the geological conditions of different areas 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 areas in the initial contour into indexes, the design parameters that meet the industry specification requirements and practice standards are obtained from the contour parameter knowledge base; By using the design parameters, the initial contour is automatically corrected and updated using three-dimensional graphics technology, completing the intelligent design of the slope and foundation pit contour morphology based on the three-dimensional geological model and industry knowledge and experience.

6. The geotechnical engineering intelligent design method according to claim 3, characterized in that: Step S4 includes: According to the relationship between the specific engineering contour model and the geological zoning model, the support scheme that meets the requirements of industry specifications is intelligently selected from the support scheme knowledge base to achieve intelligent recommendation of the support scheme; The support scheme is composed of one or more reinforcement members, which are divided into one-dimensional, two-dimensional and three-dimensional according to their geometric shapes, and are combined into a whole according to the designed layout parameters; the reinforcement members are processed from building materials or prefabricated parts according to the designed parameters; Maintain a close relationship between support solutions, reinforcements and building materials; The intelligent design of the support scheme is to use the support scheme and parameters recommended by the knowledge base, adopt three-dimensional graphics technology, and complete the spatial arrangement of each reinforcement member in the reinforcement scheme according to the designed arrangement parameters.

7. A geotechnical engineering intelligent design system based on a three-dimensional digital model, characterized in that: The geotechnical engineering intelligent design system consists of a resource layer, a logic layer and an application layer, wherein: The application layer is used to obtain operation commands input by users; The logic layer is used to access and call the resource layer data according to the operation command input by the user obtained by the application layer, so as to implement the geotechnical engineering intelligent design method based on the three-dimensional digital model as described in any one of claims 1 to 6; 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 in different industries.

8. An electronic device, characterized in that: include: Memory for storing computer software programs; A processor is used to read and execute the computer software program, thereby implementing the geotechnical engineering intelligent design method based on a three-dimensional digital model as described in any one of claims 1 to 6.

9. 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 design method for geotechnical engineering based on a three-dimensional digital model as described in any one of claims 1 to 6.

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