Mountain city function topology scheme generation method and device, medium and product
By constructing geological stratification models and joint optimization models, the functional topology schemes for mountain city construction were quantitatively compared, which solved the problem of the disconnect between functional layout and vertical design, and achieved scientific and efficient improvement in engineering costs.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SOUTH CHINA UNIV OF TECH
- Filing Date
- 2026-05-20
- Publication Date
- 2026-06-19
AI Technical Summary
Existing technologies in mountainous city construction suffer from a disconnect between functional layout and vertical design, resulting in high engineering costs and severe ecological damage. Furthermore, earthwork optimization methods lack the ability to coordinate early-stage decision-making, making it difficult to achieve overall optimization.
By acquiring multi-source basic data, a geological stratification model is constructed, design requirements are analyzed, candidate functional topology schemes are generated, and a joint optimization model of vertical elevation and earthwork allocation is constructed. With the minimization of comprehensive construction cost as the objective function, the engineering costs of different topology schemes are quantitatively compared.
This approach enables the quantitative comparison of engineering costs for different functional topologies in the early stages of the design process, breaking through the sequential design pattern of first outlining the site plan and then designing the vertical layout. It improves the scientific rigor and efficiency of functional topology decision-making for mountainous construction sites and avoids systemic problems of large-scale excavation and filling caused by improper layout.
Smart Images
Figure CN122241846A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of urban construction and planning technology, and in particular to a method, apparatus, medium, and product for generating functional topology schemes for mountainous cities. Background Technology
[0002] In the planning and architectural design of mountainous cities and construction sites with complex terrain, functional layout and vertical design are the core elements that determine the feasibility, safety, and economy of a project. Existing technologies typically adopt a sequential design model of "master plan first, then vertical design," that is, the planning or architectural professionals first determine the functional zoning, group relationships, and overall layout, and then the site engineering professionals carry out vertical elevation design and earthwork balance calculations based on the fixed layout.
[0003] However, this sequential approach has the following drawbacks in practical engineering applications: First, functional layout and vertical design are disconnected. Early layout often fails to fully quantify complex natural constraints such as topographic relief, geological stratification, and drainage routes, leading to forced large-scale excavation, filling, or construction of numerous retaining structures in later vertical design, resulting in high engineering costs and severe ecological damage. Second, existing earthwork optimization methods lack the ability to link early-stage decisions. Existing methods mostly focus on local elevation adjustments or earthwork allocation path optimization for the already determined general layout scheme, making it difficult to extend to key early-stage decisions such as the spatial topology of functional clusters and terrace organization. Once the layout is locked, the solution space for vertical optimization is severely compressed. Third, mountainous sites have multiple types of constraints with strong coupling relationships. The site is simultaneously affected by multiple constraints such as existing elevation, geological rock surfaces, road connections, pipeline cover, functional elevation control, and construction and transportation organization. Traditional methods relying on repeated trial and error based on human experience are difficult to obtain globally optimal solutions in high-dimensional constrained spaces. Fourth, earthwork cost assessment is distorted. Traditional methods often underestimate the true cost composition of mountainous sites, resulting in a lack of scientific and quantitative economic basis for early-stage planning decisions.
[0004] Therefore, how to break the sequential separation between functional layout and vertical design, and achieve joint modeling and quantitative optimization of functional topology generation and vertical earthwork cost in the early stage of the scheme, has become a technical problem that urgently needs to be solved in this field. Summary of the Invention
[0005] The purpose of this invention is to provide a method, apparatus, medium, and product for generating functional topology schemes for mountainous cities. This method can quantitatively compare the differences in engineering costs of different functional topologies in the early stages of the scheme, thereby improving the scientificity and efficiency of functional topology scheme decision-making for mountainous construction sites.
[0006] To achieve the above objectives, embodiments of the present invention provide a method for generating functional topology schemes for mountainous cities, comprising: Multi-source basic data of mountain construction sites are acquired, and the mountain construction sites are discretized into multiple site units. A geological stratification model of each site unit is constructed based on the geological exploration borehole stratification data. The design requirements are semantically parsed and structurally extracted to obtain design requirement parameters; wherein, the design requirement parameters include functional unit sets, spatial relationship constraints between functional units, and terrain adaptation, traffic constraints and construction preference parameters; Based on the multi-source basic data, the geological stratification model of the site unit, and the design requirement parameters, multiple candidate functional topology schemes are generated, and each candidate functional topology scheme is mapped as a discrete spatial object containing a functional occupancy domain, a set of road control lines, a set of platform boundaries, and a set of main drainage paths. For each candidate functional topology scheme, a joint optimization model for vertical elevation and earthwork allocation is constructed. Based on the decision variables and constraints of the joint optimization model, each joint optimization model is solved to obtain the comprehensive construction cost, vertical design elevation, and multiple engineering indicators corresponding to each candidate functional topology scheme. The joint optimization model takes minimizing the comprehensive construction cost as its objective function. The comprehensive construction cost and engineering indicators of each candidate functional topology scheme are quantitatively compared, and the optimal functional topology scheme is output.
[0007] As an improvement to the above scheme, the multi-source basic data includes, but is not limited to: current topographic elevation, geological exploration borehole layer data, road access conditions and surrounding municipal elevations, drainage outlet locations and pipeline corridors, unit prices for various earthwork constructions, unit prices for external transportation and external purchase, spoil disposal site information and site storage conditions. The construction of a geological stratification model for each site unit based on geological exploration borehole stratification data includes: Spatial interpolation is performed on the geological exploration borehole stratification data, and surface slope or curvature is introduced as a covariate for constrained interpolation to generate a geological stratification model for each site unit; wherein, the geological stratification model includes the top and bottom elevations of each soil and rock layer, soil and rock type, and mechanical parameters.
[0008] As an improvement to the above solution, the semantic parsing and structured extraction of design requirements to obtain design requirement parameters includes: A large language model or rule template is used to perform semantic parsing on the project task book, planning guidelines, and design specifications to extract several functional units, forming a set of functional units, and labeling the unit attributes of each functional unit; the unit attributes include area requirements, capacity, and service objects; Extract the adjacency requirements, separation requirements, common platform requirements, and hierarchical relationships between each functional unit to form spatial relationship constraints; Extract the terrain adaptation, traffic constraints, and construction preference parameters for each of the aforementioned functional units; Based on the above information, design requirement parameters are generated and output as a parameter table, a relationship matrix, and a rule list.
[0009] As an improvement to the above scheme, the candidate functional topology scheme includes at least: the candidate layout area or terrace affiliation of each functional unit, the relative positional relationship between functional units, the road skeleton connection, the main and secondary entrance system, the terrace division method, and the initial drainage intention. The step of mapping each candidate functional topology scheme as a discrete spatial object containing a functional occupancy domain, a set of road control lines, a set of platform boundaries, and a set of main drainage paths includes: Based on the candidate layout area or terrace affiliation of the functional unit, determine the subset of site units occupied by the functional unit within the corresponding terrace area, and generate the functional occupancy domain. The road skeleton is connected and projected onto the site grid, the subset of site units through which the road passes is identified, and control elevation constraint points are set at key points of the road to generate a set of road control lines. The set of boundary units for each terrace is identified according to the terrace division method, and the height difference constraint between adjacent terraces is set to generate a set of platform boundaries; wherein, the boundary unit refers to the site unit located at the terrace boundary. Based on the initial drainage intention and topographic trend, the main water catchment path from each terrace to the drainage outlet is determined, and drainage connectivity constraints are set on this path to generate a set of main drainage paths.
[0010] As an improvement to the above scheme, the calculation parameters for the comprehensive construction cost include: layered excavation cost, filling cost, on-site transportation cost, waste disposal cost, waste disposal storage cost, cost of purchased fill material, cost of deep pit sidewall support, cost of retaining wall engineering, and penalty items. The decision variables include: design elevation, cut and fill volume, on-site earthwork allocation flow rate, off-site waste volume, purchased fill volume, and drainage direction variable; The constraints include: earthwork conservation constraints, functional zoning elevation constraints, common platform elevation consistency constraints, vertical elevation difference constraints, road longitudinal slope constraints, drainage connectivity constraints, pipeline soil cover constraints, boundary connection constraints, safety elevation difference constraints, restricted area constraints, and spoil disposal site capacity constraints. The engineering indicators include at least one of the following: total excavation volume and the proportion of hard rock, total external transport volume and external purchase volume, maximum excavation depth, deep pit support engineering volume, retaining wall engineering volume, drainage connectivity satisfaction rate, and road longitudinal slope compliance rate.
[0011] As an improvement to the above solution, the method further includes: Based on the vertical design elevation and comprehensive construction cost obtained from the solution, spatial topology adjustments are made to candidate functional topology schemes that do not meet the constraints or exceed the cost limits. After modifying the relative positions of functional units or the terrace division method, the solutions are re-entered into the joint optimization model for joint solution iteration.
[0012] This invention also provides a functional topology scheme generation device for mountain cities, comprising: The basic data acquisition module is used to acquire multi-source basic data of the mountain construction site, and to discretize the mountain construction site into multiple site units, and to construct a geological stratification model for each site unit based on the geological exploration borehole stratification data. The design requirement extraction module is used to perform semantic parsing and structured extraction of design requirements to obtain design requirement parameters; wherein, the design requirement parameters include functional unit set, spatial relationship constraints between functional units, and terrain adaptation, traffic constraints and construction preference parameters; The candidate scheme generation module is used to generate multiple candidate functional topology schemes based on the multi-source basic data, the geological stratification model of the site unit and the design requirement parameters, and to map each candidate functional topology scheme into a discrete spatial object containing a functional occupancy domain, a set of road control lines, a set of platform boundaries and a set of main drainage paths. The optimization model solving module is used to construct a joint optimization model of vertical elevation and earthwork allocation for each candidate functional topology scheme, and solve each joint optimization model according to the decision variables and constraints of the joint optimization model to obtain the comprehensive construction cost, vertical design elevation and multiple engineering indicators corresponding to each candidate functional topology scheme; wherein, the joint optimization model takes minimizing the comprehensive construction cost as the objective function; The optimal solution output module is used to quantitatively compare the comprehensive construction cost and engineering indicators of each candidate functional topology scheme and output the optimal functional topology scheme.
[0013] This invention also provides a functional topology scheme generation apparatus for mountainous cities, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, it implements the functional topology scheme generation method for mountainous cities as described in any of the above embodiments.
[0014] This invention also provides a computer-readable storage medium, which includes a stored computer program, wherein the computer program, when running, controls the device where the computer-readable storage medium is located to execute the functional topology scheme generation method for mountainous cities as described in any of the above embodiments.
[0015] This invention also provides a computer program product, which includes a computer program or computer instructions. When the computer program or computer instructions are executed by a processor, they implement the functional topology scheme generation method for mountainous cities as described in any of the above embodiments.
[0016] Compared with existing technologies, the functional topology scheme generation method, device, medium and product for mountainous cities disclosed in this invention integrates the early topology generation of functional cluster layout with vertical design and earthwork construction strategies into a unified process. By constructing multiple candidate schemes and quantifying them into solvable discrete spatial objects, the optimal functional topology scheme is obtained by minimizing the comprehensive construction cost as the objective function. This breaks through the serial design mode of first planning the site plan and then designing the vertical plan, allowing designers to quantify and compare the differences in engineering costs of different functional topologies in the early stages of the scheme. This avoids systemic large-scale excavation and filling problems caused by improper layout from the source, and improves the scientificity and efficiency of functional topology scheme decision-making for mountainous construction sites. Attached Figure Description
[0017] Figure 1 This is a flowchart illustrating a method for generating a functional topology scheme for a mountain city, as provided in an embodiment of the present invention. Figure 2 This is a schematic diagram of a functional topology scheme generation device for mountainous cities provided in an embodiment of the present invention. Detailed Implementation
[0018] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0019] In the description of this application, it should be understood that the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this application.
[0020] 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 technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this application, unless otherwise stated, "a plurality of" means two or more.
[0021] In the description of this application, it should be noted that, unless otherwise expressly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection between two components. Those skilled in the art can understand the specific meaning of the above terms in this application based on the specific circumstances.
[0022] See Figure 1 This is a flowchart illustrating a method for generating a functional topology scheme for a mountainous city, provided by an embodiment of the present invention. The method includes steps S11 to S15. S11. Obtain multi-source basic data of the mountain construction site, and discretize the mountain construction site into multiple site units, and construct a geological stratification model for each site unit based on the geological exploration borehole stratification data. S12. Perform semantic parsing and structured extraction on the design requirements to obtain design requirement parameters; wherein, the design requirement parameters include a set of functional units, spatial relationship constraints between functional units, and terrain adaptation, traffic constraints and construction preference parameters; S13. Based on the multi-source basic data, the geological stratification model of the site unit, and the design requirement parameters, generate multiple candidate functional topology schemes, and map each candidate functional topology scheme as a discrete spatial object containing a functional occupancy domain, a set of road control lines, a set of platform boundaries, and a set of main drainage paths. S14. For each candidate functional topology scheme, construct a joint optimization model for vertical elevation and earthwork allocation, and solve each joint optimization model according to the decision variables and constraints of the joint optimization model to obtain the comprehensive construction cost, vertical design elevation and multiple engineering indicators corresponding to each candidate functional topology scheme; wherein, the joint optimization model takes minimizing the comprehensive construction cost as the objective function. S15. Quantitatively compare the comprehensive construction cost and engineering indicators of each candidate functional topology scheme, and output the optimal functional topology scheme.
[0023] This invention addresses the technical dilemma faced by mountainous construction sites such as urban sports centers and large public building clusters in mountainous areas, where functional layout and vertical design are disconnected in the early stages of design, and the true cost of earthwork is seriously underestimated. This invention constructs a complete technical solution, from multi-source data acquisition, structured extraction of design requirements, generation of candidate functional topology schemes, to joint optimization of vertical earthwork and quantitative comparison of multiple schemes.
[0024] In this embodiment of the invention, firstly, multi-source basic data such as the existing topographic elevation DEM, geological exploration boreholes, road access, drainage pipelines, and various construction unit prices of the mountain construction site are collected. The site is then discretized and a geological stratification model is constructed. Secondly, semantic parsing is performed on textual design requirements such as task specifications and planning guidelines to extract the set of functional units and their adjacency, common platform, and hierarchical relationships. Then, multiple candidate functional topology schemes are generated through rule templates, case retrieval, or large language model reasoning, and the conceptual schemes are mapped to functional occupancy domains through a bridging layer. Discrete objects such as road control lines, platform boundaries, and main drainage paths can be optimized. In the optimization stage, this invention constructs a comprehensive construction cost objective function that includes nine real engineering costs, such as layered excavation costs, deep pit sidewall support costs, waste disposal and storage costs, purchased fill material costs, and retaining wall costs. Combined with multi-dimensional constraints (elevation, drainage, road slope, geology, safety, pipeline cover, etc.), mixed integer linear programming (MILP) is preferred to solve each candidate scheme separately. Finally, under a unified framework, each scheme is quantitatively compared, and a recommended functional topology scheme and detailed engineering cost are output.
[0025] By employing the technical means of embodiments of the present invention, the present invention integrates the early topology generation, vertical design, and earthwork construction strategies of functional cluster layout into a unified process. By constructing multiple candidate schemes and quantifying them into solvable discrete spatial objects, the optimal functional topology scheme is obtained by minimizing the comprehensive construction cost as the objective function. This breaks through the serial design mode of first drawing the general plan and then designing the vertical plan, allowing designers to quantify and compare the differences in engineering costs of different functional topologies in the early stages of the scheme. This avoids systemic large-scale excavation and filling problems caused by improper layout from the source, and improves the scientificity and efficiency of functional topology scheme decision-making for mountain construction sites.
[0026] As a preferred implementation, the multi-source basic data includes, but is not limited to: current topographic elevation (DEM), geological survey borehole layering data, road access conditions and surrounding municipal elevations, drainage outlet locations and pipeline corridors, functional requirement data, unit prices for various earthwork constructions, unit prices for external transportation and purchase, spoil disposal site information, and site storage conditions. The functional requirement data includes building cluster types, scales, and interrelationships.
[0027] Preferably, the step of discretizing the mountain construction site into multiple site units specifically involves: The mountainous construction scenario is discretized into multiple computational units, denoted as site units, using at least one discretization method among regular grids, irregular grids, triangular meshes, or plot units, and represented as follows: , For site unit collection, Let i be the i-th site unit.
[0028] Preferably, the construction of a geological stratification model for each site unit based on geological exploration borehole stratification data includes: Spatial interpolation is performed on the geological exploration borehole stratification data, and topographic auxiliary variables are introduced as covariates for constrained interpolation to generate a geological columnar stratification model for each site unit; wherein, the geological columnar stratification model includes the top and bottom elevations of each soil and rock layer, soil and rock type and mechanical parameters; the topographic auxiliary variables are surface slope or curvature.
[0029] By employing the technical means of this invention, a geological columnar stratification model can be constructed through spatial interpolation and constrained interpolation, which can improve the accuracy of rock surface inference.
[0030] In a preferred embodiment, the step of semantic parsing and structured extraction of design requirements to obtain design requirement parameters includes: A large language model or rule template is used to perform semantic parsing on the project task book, planning guidelines, and design specifications to extract several functional units, forming a set of functional units, and labeling the unit attributes of each functional unit; the unit attributes include area requirements, capacity, and service objects; Extract the adjacency requirements, separation requirements, common platform requirements, and hierarchical relationships between each functional unit to form spatial relationship constraints; Extract the terrain adaptation, traffic constraints, and construction preference parameters for each of the aforementioned functional units; Based on the above information, design requirement parameters are generated and output as a parameter table, a relationship matrix, and a rule list.
[0031] Specifically, in this embodiment of the invention, semantic parsing and structured extraction are performed on textual design requirements such as project task books, planning guidelines, and design specifications to obtain the following information: Functional unit set And the attributes of each unit, including area requirements, capacity, service targets, etc.; Relationships between functional units: Adjacency requirements Separation requirements Common platform requirements Hierarchical requirements ;in, These are two different functional units, a and b; Terrain adaptation preferences (e.g., "parking facilities should be semi-embedded in the slope" and "outdoor sites should be along the slope"), traffic constraints (main entrance orientation and back slope restrictions), and construction preferences (reducing hard rock excavation and controlling the amount of external transportation).
[0032] The above information is output as a parameter table, a relation matrix, and a rule list.
[0033] In some implementations, the semantic parsing can be implemented using a large language model, preferably by guiding the model output through structured extraction of a Prompt template. In other implementations, rule templates, manual input, or semi-automatic methods can also be used.
[0034] By employing the technical means of this invention, a large language model is used to perform semantic parsing on natural language task books and planning guidelines, automatically outputting functional unit sets and their relational constraints, which greatly reduces the workload of manual sorting and input, and lowers the risk of information omission and misunderstanding.
[0035] As a preferred embodiment, the candidate functional topology scheme includes at least: the candidate layout area or terrace affiliation of each functional unit, the relative positional relationship between functional units, the road skeleton connection, the main and secondary entrance system, the terrace division method, and the initial drainage intention.
[0036] In this embodiment of the invention, multiple candidate functional topology schemes are generated based on the data obtained in the previous step. The candidate functional topology scheme can be generated using rule templates, case retrieval, or other methods. In some implementations, large language model reasoning can be used to assist in the generation.
[0037] Preferably, mapping each candidate functional topology scheme to a discrete spatial object comprising a functional occupancy domain, a set of road control lines, a set of platform boundaries, and a set of main drainage paths includes: Based on the candidate layout area or terrace affiliation of the functional unit, determine the subset of site units occupied by the functional unit within the corresponding terrace area, and generate the functional occupancy domain. The road skeleton is connected and projected onto the site grid, the subset of site units through which the road passes is identified, and control elevation constraint points are set at key points of the road to generate a set of road control lines. The set of boundary units for each terrace is identified according to the terrace division method, and the height difference constraint between adjacent terraces is set to generate a set of platform boundaries; wherein, the boundary unit refers to the site unit located at the terrace boundary. Based on the initial drainage intention and topographic trend, the main water catchment path from each terrace to the drainage outlet is determined, and drainage connectivity constraints are set on this path to generate a set of main drainage paths.
[0038] Specifically, in this embodiment of the invention, for each candidate functional topology scheme This transforms the conceptual functional layout into optimizable objects at the site unit level.
[0039] Functional occupancy candidate domain generation: for each functional unit According to its area requirements and the ownership of the plateau Within the corresponding terrace area, determine the subset of site units occupied by the functional unit. , making For irregular boundaries, a greedy allocation method with area constraints or a minimum bounding region method is used. Let be the area of cell i.
[0040] Road control line discretization: Projecting the road skeleton onto the site grid to identify the subset of site units through which the road passes. Control elevation constraint points are set at key road points (intersections, entrances / exits, and slope change points).
[0041] Platform boundary determination: Identify the set of boundary units for each platform according to the platform division method, and set the height difference constraint between adjacent platforms at the boundary.
[0042] Determining the main drainage path: Based on the initial drainage intention and topographical trend, determine the main water catchment path from each terrace to the drainage outlet, and set drainage connectivity constraints on this path.
[0043] Through the above processing, each candidate functional topology scheme is transformed into a discrete set of objects, including functional occupancy domain, road control line set, platform boundary set, and drainage main path set, which can be directly incorporated into the subsequent optimization model as constraints.
[0044] By employing the technical means of this invention, conceptual design elements such as functional occupancy domains, road control lines, platform boundaries, and main drainage paths in candidate functional topology schemes are automatically mapped into optimizable discrete objects at the site unit level. This achieves a crucial leap from architectural master plan thinking to site unit optimization thinking, providing a calculable constraint foundation for subsequent joint optimization. By establishing a bridging mechanism between candidate functional topology → discrete mapping of functional occupancy domains / road control lines / platform boundaries / drainage paths → joint optimization constraints, conceptual schemes are transformed into solvable objects, improving the accuracy of optimal functional topology schemes.
[0045] As a preferred implementation, for each candidate functional topology scheme A joint optimization model was constructed, which includes elevation, earthwork allocation, and engineering constraints.
[0046] The decision variables include: Site Unit Design elevation: ; Excavation volume, fill volume: , ; Excavation and filling state variables: (1 = excavation, 0 = filling); On-site earthwork allocation flow: ; Volume of waste material transported out: ; Purchased fill volume: ; Drainage direction variable: .
[0047] The objective function is to minimize the overall construction cost. The calculation parameters of the overall construction cost include: layered excavation cost, filling cost, on-site transportation cost, waste disposal cost, waste disposal storage cost, cost of purchased fill material, cost of deep pit sidewall support, cost of retaining wall engineering, and penalty items. The objective function is: The definitions of each item are as follows: Layered excavation costs Charges are calculated based on the geological layers traversed: in, For site units No. The excavation volume of the geological layers (the unit price of each layer, such as topsoil, residual soil, strongly weathered soil, and moderately weathered soil, varies significantly) was obtained through piecewise linearization. The cost of excavation for the k-th layer.
[0048] Filling costs : This is the unit price for filling. This refers to the fill volume.
[0049] On-site transportation costs : in, This is the unit price for in-site transportation. To allocate flow rate for earthwork within the site, Let be the in-field transport distance from unit i to unit i′.
[0050] Cost of transporting abandoned waste Includes transportation costs to the spoil disposal site: in, Let i be the volume of waste transported out of the i-th unit. For basic transportation costs, This is the additional fee for outbound transportation distance, that is, the additional fee per kilometer of transportation. For unit The haul distance to the spoil disposal site. When multiple spoil disposal sites exist, a spoil disposal site selection variable can be introduced.
[0051] Waste disposal site storage costs In mountainous cities where land is scarce, the costs of renting and managing spoil disposal sites can account for a significant proportion of the total cost of transporting spoil. in, The storage cost per unit volume per unit time. This is the estimated storage time.
[0052] Cost of purchased packing : in, Let i be the purchased fill volume of the i-th unit. For the basic cost of external purchases, Additional charges for outsourced transportation distance. From the borrow pit to the unit The distance of transport.
[0053] Cost of sidewall support for deep pit foundation When the excavation depth exceeds the safe slope depth, foundation pit support (such as soil nailing walls, pile foundations with internal bracing, etc.) is required, and the cost increases non-linearly with depth. in, The depth of the excavation. For the perimeter of the foundation pit, The unit price of depth-dependent sidewall support (shallow excavation with natural slope requires no support, medium-deep excavation requires simple support, and deep excavation requires heavy support) can be modeled as a piecewise linear function: in, The safe depth for natural slope (generally 3–5 m). This is the threshold for medium-deep pits (typically 6–10 m).
[0054] Cost of retaining wall / slope engineering Retaining wall treatment when the elevation difference between adjacent units exceeds the natural slope limit: in, This is the unit price for the retaining wall project. The design elevation of unit i, The design elevation of unit i′ adjacent to unit i. For natural slopes that do not require retaining walls, the allowable elevation difference is (generally determined by converting the slope ratio and the distance between adjacent units). Let be the length of the common boundary between unit i and its adjacent unit i′.
[0055] Penalty items Penalties for soft constraints such as excessive road slope, poor drainage, and deviation from functional topology.
[0056] The constraints include: Cut-and-fill definition constraints: , , ;in, Let i be the current elevation of unit i. A sufficiently large positive number (a large M constant) is used to pass through 0-1 variables. Mutually exclusive activation of the mining branch Or fill branch The actual value can be set as the upper limit of the estimated maximum cut and fill volume, for example... .
[0057] Earthwork conservation constraint: For excavation elements, For fill units, .
[0058] Functional zoning elevation constraints: , ; and These are the preset minimum elevation threshold and maximum elevation threshold, respectively; For the plan Medium functional unit The set of units occupied.
[0059] Common platform elevation consistency constraints: For adjacent units occupied by shared platform functional units, among which, This is a preset allowable threshold for the height difference of the common platform, used to ensure that the height difference between units on the same platform is within the acceptable range. The specific value can be determined in combination with functional requirements and construction errors.
[0060] Upper and lower position height difference constraint: hour, ;in, The preset minimum height difference threshold. These are two different functional units, a and b. Functional unit lie in The lower position (lower part) lie in The upper position (high place).
[0061] Road longitudinal slope constraints: ;in, and These are two adjacent control points on the road control line. and Design elevation, The horizontal distance between two control points along the road centerline. The maximum preset longitudinal slope for this road section (determined according to road grade and traffic type).
[0062] Drainage connectivity constraints: , ;in, This is the preset minimum drainage slope (the minimum longitudinal slope to ensure natural drainage). Let M be the set of adjacent elements of element i, i.e., the set of site elements that share an edge or an angle with element i; M is the aforementioned large M constant, used to... Relax the slope inequality in this direction when = 0.
[0063] Pipeline backfill constraints: ;in, The elevation of the top surface of the underground pipelines that have been laid or are planned to be laid at unit i (the highest one among multiple pipelines). The preset minimum soil cover thickness (determined according to pipeline type, such as water supply and drainage, power, communication, and gas pipelines).
[0064] Boundary connection constraints: ;in, The external connection elevation at the site boundary of Unit i is determined by the elevation of the surrounding existing municipal roads, the approved vertical design elevation of the adjacent land, or the existing topographic elevation of the surrounding area. The preset allowable deviation for boundary connection (used to control the smooth connection between the new design elevation and the surrounding edges, and to prevent step differences).
[0065] Safety height difference constraints: ;in, The upper limit of the safe height difference between adjacent site units is set (determined in combination with site use safety requirements and slope stability requirements; if the height difference exceeds this limit, retaining walls or guardrails must be installed).
[0066] Restricted areas: Excavation depth is limited in ecological conservation areas, and fill height is limited in high fill areas.
[0067] spoil disposal site capacity constraints: ;in, This represents the total available storage capacity of available spoil heaps (determined by the actual remaining capacity of the spoil heaps, the capacity allocated to this project, and the safety factor). When multiple spoil heaps exist, this constraint can be listed separately for each spoil heap, and a 0-1 variable for spoil heap selection can be introduced. Foreign transport volume The amount is allocated to each spoil disposal site (m).
[0068] Preferably, a geological columnar model is established vertically for each site unit. Several discrete points are selected within a preset elevation interval, and the excavation volume and total excavation cost for each layer corresponding to each point are pre-calculated to construct a piecewise linear polygonal line. Linearization is achieved by introducing auxiliary variables, which are then incorporated into a unified optimization model.
[0069] In a preferred embodiment, SOS2 (Special Ordered Sets of Type 2) variables can be used for linear interpolation between adjacent breakpoints. The piecewise function for the cost of deep pit sidewall support is handled in the same way.
[0070] Furthermore, a mixed-integer linear programming solver is used to solve the joint optimization model corresponding to each candidate solution. Preferably, the mixed-integer linear programming solver is Gurobi or CPLEX. Other solvers, such as MILP, MIQP, or constrained programming solvers, can also be used to solve the joint optimization model.
[0071] The output after solving for each candidate functional topology scheme is: the optimal design elevation distribution. Terrace organization results, earthwork allocation network External transport volume and external purchase volume, drainage direction distribution, and overall construction cost. And details of each item, such as layered excavation costs, filling costs, transportation costs, external transportation costs, warehousing costs, external purchase costs, side wall support costs, and retaining wall costs.
[0072] Preferably, the engineering indicators include at least one of the following: total excavation volume and its proportion of hard rock, total external transport volume and external purchase volume, maximum excavation depth, deep pit support engineering volume, retaining wall engineering volume, drainage connectivity satisfaction rate, and road longitudinal slope compliance rate.
[0073] Through the The candidate solutions are compared comprehensively, and the recommended solution that meets the engineering constraints and has a lower overall cost is selected by weighted comprehensive score or multi-indicator ranking.
[0074] Optionally, the output may also include: contour maps, functional group and terrace correspondence maps, earthwork excavation and filling distribution maps (colored according to geological layers), on-site allocation network maps, drainage slope maps, road vertical control maps, bill of quantities and cost items (including details of off-site transportation and storage, and sidewall support), and multi-scheme comparison reports.
[0075] In a preferred embodiment, based on any of the above embodiments, the method further includes step S16: S16. Based on the vertical design elevation and comprehensive construction cost obtained from the solution, spatial topology adjustment is performed on the candidate functional topology schemes that do not meet the constraints or exceed the cost limit. After modifying the relative position of the functional units or the platform division method, the schemes are re-entered into the joint optimization model for joint solution iteration.
[0076] In this embodiment of the invention, the front-end functional topology scheme can be reversed based on the optimization results. For example, if the parking facility is located in a location with extremely deep hard rock and requires heavy support in scheme A, it is recommended to move it to the location in scheme B to achieve iterative updates.
[0077] By employing the technical means of this invention, and incorporating real engineering costs such as layered geological excavation costs, deep pit sidewall support costs, waste disposal and storage costs, and purchased fill material costs, the optimization results more closely reflect actual engineering costs. Furthermore, for deep excavation pit scenarios common in mountainous sites, a piecewise linear support cost model related to excavation depth is established and linearized, enabling the optimization model to accurately reflect the engineering costs of deep pit excavation while ensuring solution efficiency. Moreover, it supports quantitative comparison and selection within a unified framework of multiple candidate solutions, assisting designers in identifying and avoiding systemic large-scale excavation and filling problems caused by improper layout before finalizing the design.
[0078] See Figure 2 This is a schematic diagram of a functional topology scheme generation device for mountainous cities provided in an embodiment of the present invention. The embodiment of the present invention provides a functional topology scheme generation device 10 for mountainous cities, comprising: The basic data acquisition module 11 is used to acquire multi-source basic data of the mountain construction site, and to discretize the mountain construction site into multiple site units, and to construct a geological stratification model for each site unit based on the geological exploration borehole stratification data. The design requirement extraction module 12 is used to perform semantic parsing and structured extraction of design requirements to obtain design requirement parameters; wherein, the design requirement parameters include a set of functional units, spatial relationship constraints between functional units, and terrain adaptation, traffic constraints and construction preference parameters; The candidate scheme generation module 13 is used to generate multiple candidate functional topology schemes based on the multi-source basic data, the geological stratification model of the site unit and the design requirement parameters, and to map each candidate functional topology scheme into a discrete spatial object containing a functional occupancy domain, a set of road control lines, a set of platform boundaries and a set of main drainage paths. The optimization model solving module 14 is used to construct a joint optimization model of vertical elevation and earthwork allocation for each candidate functional topology scheme, and solve each joint optimization model according to the decision variables and constraints of the joint optimization model to obtain the comprehensive construction cost, vertical design elevation and multiple engineering indicators corresponding to each candidate functional topology scheme; wherein, the joint optimization model takes minimizing the comprehensive construction cost as the objective function. The optimal solution output module 15 is used to quantitatively compare the comprehensive construction cost and engineering indicators of each candidate functional topology scheme and output the optimal functional topology scheme.
[0079] It should be noted that the functional topology scheme generation device for mountainous cities provided in this embodiment of the invention is used to execute all the process steps of the functional topology scheme generation method for mountainous cities in the above embodiment. The working principles and beneficial effects of the two are one-to-one, so they will not be described again.
[0080] This invention also provides another functional topology scheme generation apparatus for mountain cities, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, it implements the functional topology scheme generation method for mountain cities as described in any of the above embodiments.
[0081] This invention also provides a computer-readable storage medium, which includes a stored computer program, wherein the computer program, when running, controls the device where the computer-readable storage medium is located to execute the functional topology scheme generation method for mountainous cities as described in any of the above embodiments.
[0082] This invention also provides a computer program product, which includes a computer program or computer instructions. When the computer program or computer instructions are executed by a processor, they implement the method for generating functional topology schemes for mountainous cities as described in any of the above embodiments.
[0083] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. The storage medium can be a magnetic disk, optical disk, read-only memory (ROM), or random access memory (RAM), etc.
[0084] The above description represents the preferred embodiments of the present invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of the present invention, and these improvements and modifications are also considered to be within the scope of protection of the present invention.
Claims
1. A method for generating functional topology schemes for mountainous cities, characterized in that, include: Multi-source basic data of mountain construction sites are acquired, and the mountain construction sites are discretized into multiple site units. A geological stratification model of each site unit is constructed based on the geological exploration borehole stratification data. The design requirements are semantically parsed and structurally extracted to obtain design requirement parameters; wherein, the design requirement parameters include functional unit sets, spatial relationship constraints between functional units, and terrain adaptation, traffic constraints and construction preference parameters; Based on the multi-source basic data, the geological stratification model of the site unit, and the design requirement parameters, multiple candidate functional topology schemes are generated, and each candidate functional topology scheme is mapped as a discrete spatial object containing a functional occupancy domain, a set of road control lines, a set of platform boundaries, and a set of main drainage paths. For each candidate functional topology scheme, a joint optimization model for vertical elevation and earthwork allocation is constructed. Based on the decision variables and constraints of the joint optimization model, each joint optimization model is solved to obtain the comprehensive construction cost, vertical design elevation, and multiple engineering indicators corresponding to each candidate functional topology scheme. The joint optimization model takes minimizing the comprehensive construction cost as its objective function. The comprehensive construction cost and engineering indicators of each candidate functional topology scheme are quantitatively compared, and the optimal functional topology scheme is output.
2. The method for generating functional topology schemes for mountainous cities as described in claim 1, characterized in that, The multi-source basic data includes, but is not limited to: current topographic elevation, geological exploration borehole layer data, road access conditions and surrounding municipal elevations, drainage outlet locations and pipeline corridors, unit prices for various earthwork constructions, unit prices for external transportation and external purchase, spoil disposal site information and site storage conditions. The construction of a geological stratification model for each site unit based on geological exploration borehole stratification data includes: Spatial interpolation is performed on the geological exploration borehole stratification data, and surface slope or curvature is introduced as a covariate for constrained interpolation to generate a geological stratification model for each site unit; wherein, the geological stratification model includes the top and bottom elevations of each soil and rock layer, soil and rock type, and mechanical parameters.
3. The method for generating functional topology schemes for mountainous cities as described in claim 1, characterized in that, The semantic parsing and structured extraction of design requirements yields design requirement parameters, including: A large language model or rule template is used to perform semantic parsing on the project task book, planning guidelines, and design specifications to extract several functional units, forming a set of functional units, and labeling the unit attributes of each functional unit; the unit attributes include area requirements, capacity, and service objects; Extract the adjacency requirements, separation requirements, common platform requirements, and hierarchical relationships between each functional unit to form spatial relationship constraints; Extract the terrain adaptation, traffic constraints, and construction preference parameters for each of the aforementioned functional units; Based on the above information, design requirement parameters are generated and output as a parameter table, a relationship matrix, and a rule list.
4. The method for generating functional topology schemes for mountainous cities as described in claim 1, characterized in that, The candidate functional topology scheme includes at least: the candidate layout area or terrace affiliation of each functional unit, the relative positional relationship between functional units, the road skeleton connection, the main and secondary entrance system, the terrace division method, and the initial drainage intention. The step of mapping each candidate functional topology scheme into a discrete spatial object containing a functional occupancy domain, a set of road control lines, a set of platform boundaries, and a set of main drainage paths includes: Based on the candidate layout area or terrace affiliation of the functional unit, determine the subset of site units occupied by the functional unit within the corresponding terrace area, and generate the functional occupancy domain. The road skeleton is connected and projected onto the site grid, the subset of site units through which the road passes is identified, and control elevation constraint points are set at key points of the road to generate a set of road control lines. The set of boundary units for each terrace is identified according to the terrace division method, and the height difference constraint between adjacent terraces is set to generate a set of platform boundaries; wherein, the boundary unit refers to the site unit located at the terrace boundary. Based on the initial drainage intention and topographic trend, the main water catchment path from each terrace to the drainage outlet is determined, and drainage connectivity constraints are set on this path to generate a set of main drainage paths.
5. The method for generating functional topology schemes for mountainous cities as described in claim 1, characterized in that, The calculation parameters for the comprehensive construction cost include: layered excavation cost, backfill cost, on-site transportation cost, off-site disposal cost, disposal storage cost, cost of purchased fill material, cost of deep pit sidewall support, cost of retaining wall engineering, and penalty items; The decision variables include: design elevation, cut and fill volume, on-site earthwork allocation flow rate, off-site waste volume, purchased fill volume, and drainage direction variable; The constraints include: earthwork conservation constraints, functional zoning elevation constraints, common platform elevation consistency constraints, vertical elevation difference constraints, road longitudinal slope constraints, drainage connectivity constraints, pipeline soil cover constraints, boundary connection constraints, safety elevation difference constraints, restricted area constraints, and spoil disposal site capacity constraints. The engineering indicators include at least one of the following: total excavation volume and the proportion of hard rock, total external transport volume and external purchase volume, maximum excavation depth, deep pit support engineering volume, retaining wall engineering volume, drainage connectivity satisfaction rate, and road longitudinal slope compliance rate.
6. The method for generating functional topology schemes for mountainous cities as described in any one of claims 1 to 5, characterized in that, The method further includes: Based on the vertical design elevation and comprehensive construction cost obtained from the solution, spatial topology adjustments are made to candidate functional topology schemes that do not meet the constraints or exceed the cost limits. After modifying the relative positions of functional units or the terrace division method, the solutions are re-entered into the joint optimization model for joint solution iteration.
7. A functional topology scheme generation device for mountainous cities, characterized in that, include: The basic data acquisition module is used to acquire multi-source basic data of the mountain construction site, and to discretize the mountain construction site into multiple site units, and to construct a geological stratification model for each site unit based on the geological exploration borehole stratification data. The design requirement extraction module is used to perform semantic parsing and structured extraction of design requirements to obtain design requirement parameters; wherein, the design requirement parameters include functional unit set, spatial relationship constraints between functional units, and terrain adaptation, traffic constraints and construction preference parameters; The candidate scheme generation module is used to generate multiple candidate functional topology schemes based on the multi-source basic data, the geological stratification model of the site unit and the design requirement parameters, and to map each candidate functional topology scheme into a discrete spatial object containing a functional occupancy domain, a set of road control lines, a set of platform boundaries and a set of main drainage paths. The optimization model solving module is used to construct a joint optimization model of vertical elevation and earthwork allocation for each candidate functional topology scheme, and solve each joint optimization model according to the decision variables and constraints of the joint optimization model to obtain the comprehensive construction cost, vertical design elevation and multiple engineering indicators corresponding to each candidate functional topology scheme; wherein, the joint optimization model takes minimizing the comprehensive construction cost as the objective function; The optimal solution output module is used to quantitatively compare the comprehensive construction cost and engineering indicators of each candidate functional topology scheme and output the optimal functional topology scheme.
8. A functional topology scheme generation device for mountainous cities, characterized in that, The method includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor executes the computer program to implement the method for generating a functional topology scheme for a mountain city as described in any one of claims 1 to 6.
9. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored computer program, wherein, when the computer program is executed, it controls the device where the computer-readable storage medium is located to perform the functional topology scheme generation method for mountainous cities as described in any one of claims 1 to 6.
10. A computer program product, characterized in that, The computer program product includes a computer program or computer instructions, which, when executed by a processor, implement the method for generating functional topology schemes for mountainous cities as described in any one of claims 1 to 6.