Design method of large-space assembly type geothermal station

Abstract

The invention discloses a large-space assembly type geothermal station design method based on a BIM technology. The method comprises the following steps: constructing a geological foundation model and a geothermal well three-dimensional geological model by actually measured three-dimensional coordinate data, splitting assembly type modules according to functional areas and transportation rules, modeling and storing in a distributed database, and calling the modules according to a construction process sequence to complete the remodeling of the whole model. Meanwhile, a constraint detection mechanism is constructed through a collaborative operation log, whether an operation chain violates design constraints such as geometric conflicts or energy consumption constraints or not is monitored in real time, and blocking and optimization are achieved. Besides, technologies such as multi-source geological data visualization, parameterized interface generation, module attribute dynamic control, hoisting path optimization and geometric conflict automatic identification are integrated, the problems of low collaborative efficiency, insufficient construction precision, rough energy consumption calculation and the like of traditional design are solved, and the overall efficiency of design, construction and management of the geothermal station is improved.

Description

Technical Field

[0001] This invention relates to the field of geothermal energy station design, and more particularly to a design method for large-space prefabricated geothermal stations, applicable to scenarios such as urban centralized heating and industrial waste heat utilization. Background Technology

[0002] Limitations of Traditional Geothermal Station Design: Low Design Collaboration Efficiency: Traditional 2D drawings struggle to intuitively represent complex spatial relationships, leading to frequent conflicts between different design disciplines. For example, in one project, pipe collisions resulted in a 15% rework rate. Insufficient Construction Accuracy: On-site installation error rates for prefabricated modules generally exceed 5%, impacting system operational efficiency. Rough Energy Consumption Calculation: Traditional methods cannot accurately simulate the dynamic energy consumption of geothermal stations, making energy efficiency optimization difficult. One case showed that actual energy consumption was 20% higher than the design value. Difficult Operation and Maintenance Management: Lack of full lifecycle data support, equipment maintenance relies on manual experience, resulting in long fault response times. Current Status of BIM Technology Application: While BIM technology is widely used in the construction field, it still has the following shortcomings in geothermal station design: Lack of Geothermal Professional Model Library: Existing BIM component libraries do not cover professional components such as geothermal wells and heat exchange equipment. Weak Thermal Analysis Capabilities: Traditional BIM software cannot accurately simulate the heat transfer process of geothermal systems. Incomplete Prefabricated Design Process: Insufficient collaboration between modular disassembly and factory prefabrication affects construction efficiency. Summary of the Invention

[0003] In view of this, the purpose of the present invention is to provide a design method for a large-space prefabricated geothermal station to solve the problems mentioned in the background art.

[0004] A design method for a large-space prefabricated geothermal station includes: Using the physical foundation of the geothermal station as the reference surface, the measured three-dimensional coordinate data of the foundation is obtained. Based on this data, a spatial coordinate system and a geological foundation model are constructed in the BIM model. A three-dimensional geological model of the geothermal well is established by combining borehole survey data. The spatial distribution of the geothermal reservoir is visualized through the three-dimensional geological model of the geothermal well. The geothermal station is divided into prefabricated modules according to the heat exchange area, pump room area, control area and transportation restriction rules, and a prefabricated module model is constructed based on measured coordinate data; The model numbers of prefabricated modules of different specifications are stored in a distributed database; The construction process configuration file is called, the assembly process parameters are parsed, the module model is called from the database according to the process sequence, and the model is deployed into the geological foundation model to complete the overall model reshaping of the geothermal station. During model remodeling, it is determined whether the BIM operation chain violates design constraints based on the collaborative operation log, which is constructed in the following way: During the geothermal station design process, in response to BIM operation instructions called by each prefabricated module model, the tracking structure of the fill entries is recorded in the cache, where each entry identifies the BIM operation type and three-dimensional coordinates associated with the current design task instance; The tracking structure is used to detect associated operations that form an operation chain. If the associated operations are related to the same design task instance, they are identified as an associated operation chain. In response to determining that the operation chain violates design constraints, the addition of new operation instructions to the current design task instance is blocked.

[0005] Furthermore, the entries in the tracking structure include key-value pairs, where the key contains a design task instance identifier and an operation type code, and the value contains operation parameters such as well depth, pipe spacing, flange specifications, and three-dimensional spatial coordinates. Design constraints include at least one of geometric conflict constraints and energy consumption constraints; The condition for violating geometric conflict constraints is: the distance between the pipeline and the structure is less than 50mm or the clear distance between the equipment and the wall is less than 100mm. The condition for violating energy consumption constraints is: the output value of the dynamic energy consumption model exceeds the threshold. Specific methods for blocking new operation instructions include: adding violation instruction entries to the tracked structure; sending interruption instructions to related professional design modules through the BIM collaboration platform and generating an optimization solution report.

[0006] Furthermore, the geological foundation model integrates borehole columnar sections, isotherm distribution maps, and heat flow direction vector maps, supporting cross-sectional analysis of thermal reservoir parameters at any depth.

[0007] Furthermore, parametric tools are used to automatically generate the boundary coordinates and / or interface list of any two prefabricated module models; the interface connection methods include flange connection, bolt connection and quick plug-in; The file attributes of any prefabricated module model can be dynamically controlled through the configuration module: when any prefabricated module model is loaded into the positioning area, the attributes are set to readable and writable, and the monitoring unit is enabled to track its spatial coordinate changes in real time; when any prefabricated module model is moved to the design position, the coordinate data is recorded and the attributes are locked to readable but not writable.

[0008] Furthermore, by using the task scheduling module with the location area as the initial monitoring position, and combining GIS terrain data and particle swarm optimization module to optimize the hoisting path, the overall model of the geothermal station is reshaped, and a reshaped path is formed.

[0009] Furthermore, based on geometric Boolean operations, conflict points between pipes and beams / columns, and between equipment and walls are automatically identified, generating conflict reports containing three-dimensional coordinates.

[0010] The beneficial effects of this application are as follows: Using the geothermal station's physical foundation as a reference surface, measured three-dimensional coordinate data is acquired. A spatial coordinate system and geological foundation model are then constructed within the BIM model. Simultaneously, a three-dimensional geological model of the geothermal wells is established by combining borehole survey data, enabling visualization of the spatial distribution of the geothermal reservoir. This technology, by integrating borehole columnar sections, isotherm distribution maps, and heat flow direction vector maps, supports cross-sectional analysis of reservoir parameters at any depth, allowing designers to accurately grasp the geological structure and reservoir characteristics. Based on this, the layout of geothermal wells and system design can be optimized, avoiding design deviations caused by unclear geological conditions. This provides a reliable geological basis for the subsequent rational layout of prefabricated modules and construction process planning, improving the accuracy and reliability of geothermal station design from the outset.

[0011] The geothermal station is divided into prefabricated modules according to functional areas such as heat exchange area, pump room area, and control area, and transportation restrictions are applied. Module models are then constructed based on measured coordinate data. The introduction of transportation restrictions effectively solves the problem of mismatch between module size and transportation channels in traditional prefabricated designs. Furthermore, the integration of parametric design allows parameters such as the number of devices within the modules to be automatically adjusted according to heat load and other requirements. Parametric tools can also automatically generate boundary coordinates and interface lists for any two prefabricated module models, offering diverse interface connection methods. The file attributes of the module models can be dynamically controlled through module configuration, enabling full-process tracking and management from loading to positioning. This series of operations improves the standardization and versatility of the modules, facilitating factory prefabrication and on-site installation, reducing design changes and construction errors, and significantly improving the efficiency of geothermal station design and construction.

[0012] Different specifications of prefabricated modular models are numbered and stored in a distributed database, forming a modular design resource pool. This database supports multi-terminal collaborative access, allowing design team members to retrieve the required module models at any time, avoiding redundant modeling and improving the utilization rate of design resources. During collaborative design, professionals from different disciplines can collaborate based on shared modular models, view and update model information in real time, ensuring design consistency and coordination. This effectively solves the problem of low collaboration efficiency among different disciplines in traditional design, shortens the design cycle, and improves the overall design quality.

[0013] The process involves calling the construction process configuration file, parsing the assembly process parameters, and retrieving module models from the database according to the process sequence. These modules are then deployed into the geological foundation model to complete the overall model reconstruction of the geothermal station. The process parameter parsing covers requirements such as construction sequence and spatial positioning accuracy. For example, the pile foundation modules are installed before the heat exchange modules, and the horizontal deviation is controlled within a certain range. In this way, the construction process can be simulated in advance in the model, verifying the feasibility of the construction process, optimizing the construction sequence, and ensuring orderly on-site construction. At the same time, precise control of process parameters can ensure the accuracy of module installation, reduce construction errors, improve the quality and efficiency of geothermal station construction, and reduce rework costs caused by disordered construction sequence or insufficient installation accuracy.

[0014] During model remodeling, the collaborative operation log determines whether BIM operation chains violate design constraints. A collaborative operation log is constructed by recording the tracking structure of fill entries in the cache, with each entry identifying the BIM operation type and 3D coordinates associated with the current design task instance. This tracking structure is used to detect associated operations forming operation chains. If geometric conflict constraints (e.g., pipeline-structure spacing < 50mm or equipment-wall clearance < 100mm) or energy consumption constraints (dynamic energy consumption model output value exceeding the threshold) are violated, adding new operation instructions to the current design task instance is blocked, a violation indication entry is added to the tracking structure, and an interruption command is sent to the relevant professional design module via the BIM collaboration platform, generating an optimization report. This mechanism enables real-time monitoring and conflict early warning of the design process, enabling timely detection and resolution of geometric conflicts and energy consumption issues in the design, preventing problems from lingering into the construction phase, improving design quality, reducing construction rework, and lowering project costs and risks. Attached Figure Description

[0015] Figure 1 This is a flowchart of the method of the present invention. Detailed Implementation

[0016] 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.

[0017] A design method for a large-space prefabricated geothermal station includes: Using the physical foundation of the geothermal station as the reference surface, the measured three-dimensional coordinate data of the foundation is obtained. Based on this data, a spatial coordinate system and a geological foundation model are constructed in the BIM model. A three-dimensional geological model of the geothermal well is established by combining borehole survey data. The spatial distribution of the geothermal reservoir is visualized through the three-dimensional geological model of the geothermal well. The geothermal station is divided into prefabricated modules according to the heat exchange area, pump room area, control area and transportation restriction rules, and a prefabricated module model is constructed based on measured coordinate data; The model numbers of prefabricated modules of different specifications are stored in a distributed database; The construction process configuration file is called, the assembly process parameters are parsed, the module model is called from the database according to the process sequence, and the model is deployed into the geological foundation model to complete the overall model reshaping of the geothermal station. During model remodeling, it is determined whether the BIM operation chain violates design constraints based on the collaborative operation log, which is constructed in the following way: During the geothermal station design process, in response to BIM operation instructions called by each prefabricated module model, the tracking structure of the fill entries is recorded in the cache, where each entry identifies the BIM operation type and three-dimensional coordinates associated with the current design task instance; The tracking structure is used to detect associated operations that form an operation chain. If the associated operations are related to the same design task instance, they are identified as an associated operation chain. In response to determining that the operation chain violates design constraints, the addition of new operation instructions to the current design task instance is blocked.

[0018] Furthermore, the entries in the tracking structure include key-value pairs, where the key contains a design task instance identifier and an operation type code, and the value contains operation parameters such as well depth, pipe spacing, flange specifications, and three-dimensional spatial coordinates. Design constraints include at least one of geometric conflict constraints and energy consumption constraints; The condition for violating geometric conflict constraints is: the distance between the pipeline and the structure is less than 50mm or the clear distance between the equipment and the wall is less than 100mm. The condition for violating energy consumption constraints is: the output value of the dynamic energy consumption model exceeds the threshold. Specific methods for blocking new operation instructions include: adding violation instruction entries to the tracked structure; sending interruption instructions to related professional design modules through the BIM collaboration platform and generating an optimization solution report.

[0019] Furthermore, the geological foundation model integrates borehole columnar sections, isotherm distribution maps, and heat flow direction vector maps, supporting cross-sectional analysis of thermal reservoir parameters at any depth.

[0020] Furthermore, parametric tools are used to automatically generate the boundary coordinates and / or interface list of any two prefabricated module models; the interface connection methods include flange connection, bolt connection and quick plug-in; The file attributes of any prefabricated module model can be dynamically controlled through the configuration module: when any prefabricated module model is loaded into the positioning area, the attributes are set to readable and writable, and the monitoring unit is enabled to track its spatial coordinate changes in real time; when any prefabricated module model is moved to the design position, the coordinate data is recorded and the attributes are locked to readable but not writable.

[0021] Furthermore, by using the task scheduling module with the location area as the initial monitoring position, and combining GIS terrain data and particle swarm optimization module to optimize the hoisting path, the overall model of the geothermal station is reshaped, and a reshaped path is formed.

[0022] Furthermore, based on geometric Boolean operations, conflict points between pipes and beams / columns, and between equipment and walls are automatically identified, generating conflict reports containing three-dimensional coordinates.

[0023] The following are the basic principles of this application: This application presents a design method for large-space prefabricated geothermal stations based on BIM technology, comprising the following steps: Step 1: 3D Construction of Foundation and Geological Model: Using the actual foundation of the geothermal station as the reference surface, 3D coordinate data is obtained through field measurements. A spatial coordinate system and geological foundation model are constructed in the BIM model. A 3D geological model of the geothermal well, established in conjunction with borehole survey data, visualizes the spatial distribution of the geothermal reservoir. Parameters such as reservoir depth and permeability are intuitively displayed using the volume rendering technology of the BIM model. Specifically, based on BIM platforms such as Revit and Bentley, a geothermal professional BIM model library is developed using the Dynamo parametric tool. This library includes parametric family libraries for core equipment such as geothermal wells, plate heat exchangers, heat pumps, water collectors, and water distributors. Each parametric family library integrates geometric parameters (such as geothermal well diameter φ300-500mm, well depth 1000-3000m) and thermal parameters (such as heat exchanger heat transfer coefficient 3000-5000W / (m²)). 2 • K)), material properties (e.g., pipe wall thickness δ=3-8mm, material Q235B / 316L) and interface parameters (e.g., flange specifications DN50-DN300); combined with borehole survey data (including formation lithology, thermal conductivity, porosity), a three-dimensional geological model of the geothermal well is established using GMS or AutoCAD Civil 3D to realize the geothermal reservoir (temperature 30-100℃, permeability 10). -12 -10 -10 m 2 Visual modeling of spatial distribution.

[0024] Step 2: Decomposition and Modeling of Prefabricated Modules: The geothermal station is decomposed according to functional areas (heat exchange area, pump room area, control area) and transportation restrictions, and a module model is constructed based on measured coordinates. The introduction of transportation restrictions solves the problem of mismatch between module size and transportation channels in traditional prefabricated design. Parametric design is incorporated into module modeling; for example, the number of plate heat exchangers in the heat exchange module can be automatically adjusted according to heat load parameters.

[0025] Step 3: Distributed storage of the module model: Modules of different specifications are numbered and stored in a distributed database to form a modular design resource pool. This database supports multi-terminal collaborative access.

[0026] Step 4: Process-oriented reshaping of the overall model: The construction process configuration file is called, and modules are retrieved from the database and deployed to the foundation model according to the process sequence. The process parameter analysis covers the construction sequence (e.g., installing the pile foundation module first and then deploying the heat exchange module) and spatial positioning accuracy (e.g., horizontal deviation ≤ 5mm).

[0027] Step 5: Constraint detection mechanism for collaborative operation: Construct a BIM operation chain constraint system through collaborative operation logs. Its core lies in tracking the real-time recording of the structure and the analysis of the operation chain.

[0028] Key-value pair design for the tracking structure: Key-value pairs serve as the basic unit of the tracking structure. The key contains the design task instance identifier and operation type code, while the value contains operational parameters such as well depth and pipe spacing, as well as three-dimensional coordinates. This structure enables standardized storage of operational data. Quantitative standards for geometric conflict constraints: Geometric conflict detection sets dual thresholds: distance between pipeline and structure < 50mm or net distance between equipment and wall < 100mm. This standard is based on construction feasibility studies. Geometric conflict detection uses spatial Boolean operations, treating components such as pipelines and equipment as solid models, and performing intersection, union, and difference operations with the structural model. When the intersection volume > 0, it is determined to be a conflict.

[0029] Dynamic monitoring of energy consumption constraints: When the output value of the dynamic energy consumption model exceeds a threshold, it is determined as a violation of energy consumption constraints. The threshold is set based on heat balance calculations. Multi-level response of the blocking mechanism: When a violation of constraints is detected in the operation chain, the system executes a triple response: First, a violation indication entry is added to the tracked structure for easy tracing; second, an interruption command is sent to related disciplines through the BIM collaboration platform, such as triggering the re-layout of pipes by the MEP discipline when the structural discipline adjusts the position of beams and columns; finally, an optimization plan report is generated, which includes the three-dimensional coordinates of the conflict point, impact analysis (such as an increase in energy consumption of 3.2%), and recommended solutions (such as pipe offset of 0.5m).

[0030] Visualization integration of multi-source geological data: The geological foundation model integrates borehole columnar sections, isotherm distribution maps, and heat flow direction vector maps to achieve three-dimensional visualization of geological information. The borehole columnar sections are displayed through the profile function of the BIM model.

[0031] The function of cross-sectional analysis of geothermal reservoir parameters supports cross-sectional analysis of geothermal reservoir parameters at any depth, and obtains geological attributes at a specified depth through interactive slicing tools. For example, when slicing at 1000m underground, parameters such as permeability (e.g., 200mD), porosity (18%), and temperature (45℃) of the geothermal reservoir at that depth can be displayed in real time, providing a basis for geothermal well design.

[0032] Linkage between geological model and BIM design: The geological foundation model and the geothermal station BIM model are linked in real time, and design adjustments are automatically triggered when geological conditions change.

[0033] Dynamically updated geological database: The model is linked to real-time monitoring data to achieve dynamic updates of geological information.

[0034] By using parametric tools and dynamic control of module attributes, precise docking and full lifecycle management of prefabricated modules can be achieved, solving the problems of low interface matching efficiency and insufficient installation accuracy in traditional prefabricated design.

[0035] Automatic generation of parametric interfaces: The parametric tool automatically generates the boundary coordinates and interface list for any two prefabricated modules. Interface types include flange connections, bolted connections, and quick-connect fittings. Boundary coordinate generation is based on the 3D model contour of the module. For example, the interface surface coordinates of the heat exchange module and the piping module are determined through Boolean operations. In a certain project, the flatness error of the interface surfaces of the two modules is controlled within 0.5mm to ensure the sealing performance of the flange connection. The interface list includes parameters such as connector specifications (e.g., DN150 flange, PN16), and the number of bolts (8 M16). It can be directly exported as machining drawings. The parametric tool also supports linked updates for interface changes. For example, when changing a flange connection to a quick-connect fitting, the system automatically adjusts the interface dimensions (e.g., increasing the clamp groove width) and updates the structural design of the relevant modules.

[0036] Dynamic control mechanism for module attributes: Dynamic management of file attributes for prefabricated module models is achieved through module configuration. When a module is loaded into the positioning area, its attributes are set to readable and writable, and the monitoring unit is enabled to track coordinate changes. When moved to the design position, the attributes are locked to readable but not writable, and the coordinates are recorded. This mechanism ensures that the entire process from module design to construction is controllable.

[0037] Interface conflict detection: During the module interface generation phase, the system automatically performs compatibility checks to avoid incompatible interface types or size deviations. For example, if a DN200 pipe is detected to be connected to a DN150 flange, an immediate warning is issued and a suggestion to change the flange specification is provided. Interface conflict detection also includes mechanical compatibility analysis, such as whether the load-bearing capacity of the quick-connect interface meets the axial tensile force of the pipe (e.g., 150kN).

[0038] Linking Module Attributes with Construction Processes: Module attribute status is bound to construction process nodes, enabling visualized progress management. For example, when a module attribute changes from "readable and writable" to "readable but not writable," the system automatically marks the module as "installed," updates the construction schedule, and attribute data can also be exported to the operation and maintenance system. For instance, information such as module installation coordinates and interface parameters can be integrated into the operation and maintenance BIM model.

[0039] Lifting Path Optimization and Model Reshaping: By combining a task scheduling module with intelligent algorithms, the lifting path of the prefabricated modules for geothermal stations is optimized and the model is reshaped, solving efficiency problems such as lifting collisions and detours in traditional construction. The initial monitoring position is the positioning area, and the task scheduling module tracks the module lifting status in real time. The positioning area is typically set to a 2m radius around the module installation location; for equipment with high installation accuracy requirements (such as plate heat exchangers), the positioning area is reduced to 0.5m. An early warning is triggered when the horizontal deviation exceeds 5mm to ensure installation accuracy. The task scheduling module also supports multi-module lifting sequence planning, for example, according to the principle of "bottom first, top second; heavy first, light second."

[0040] Fusion of GIS Topographic Data and Particle Swarm Optimization (PSO) Algorithm: This approach combines GIS topographic data (such as elevation, slope, and obstacle location) with PSO to optimize lifting paths. PSO finds the optimal path by simulating bird flock foraging behavior, with each "particle" representing a possible path. The algorithm iteratively calculates parameters such as path length, obstacle avoidance, and lifting angle. Path optimization also considers crane performance parameters, such as maximum lifting capacity and working radius.

[0041] Model Remodeling and Path Simulation: The overall model of the geothermal station is remodeled to form a remodeling path, and the feasibility of hoisting is verified through 4D simulation. During the remodeling process, modules are dynamically imported into the BIM model according to the optimized path, and the system detects collisions with the existing structure. The remodeled path can also be exported as a construction guidance document, which includes parameters such as the module position, crane coordinates, and hoisting angle for each step.

[0042] Real-time data-driven path adjustment: During actual hoisting, module position data is collected in real time, and the path is dynamically adjusted. After receiving real-time coordinates, the system recalculates the path and directs the crane to fine-tune its position, avoiding structural damage caused by forced placement. Real-time data is also used for progress tracking; when the actual hoisting progress lags behind the plan, the system automatically re-optimizes the subsequent path.

[0043] Automated identification and report generation of geometric conflicts: Based on geometric space Boolean operations, it realizes the automated identification of conflict points such as pipes and beams, equipment and walls, and generates conflict reports with three-dimensional coordinates, solving the problems of low efficiency and high missed detection rate of traditional manual inspection.

[0044] The conflict detection principle of Boolean operations identifies spatial conflicts between components through geometric Boolean operations (intersection, union, difference). Components such as pipes, beams and columns are regarded as three-dimensional solid models. When the intersection volume of two solid models is greater than 0, it is determined to be a conflict.

[0045] 3D coordinate positioning of conflict points: Each conflict point generates precise 3D coordinates (X, Y, Z), facilitating construction positioning and rectification. For example, the conflict report shows "Coordinates of the conflict point between the pipe and the column: X=15.234m, Y=8.765m, Z=3.450m". Construction personnel can directly locate this point using a total station. The 3D coordinates also support linkage with the BIM model. Clicking on the coordinates in the report will highlight the conflicting components in the model. A design team used this function to visually demonstrate the conflict location at the review meeting, accelerating design decisions.

[0046] The above description is only a part of the embodiments of this application and does not limit the patent scope of this application. All equivalent structural transformations made under the technical concept of this application and using the contents of the specification and drawings of this application, or direct / indirect applications in other related technical fields, are included in the patent protection scope of this application.

Claims

1. A design method for a large-space prefabricated geothermal station, characterized in that, include: Using the geothermal station's physical foundation as a reference surface, the measured three-dimensional coordinate data of the foundation is obtained, and a spatial coordinate system and geological foundation model are constructed in the BIM model based on this data; A three-dimensional geological model of a geothermal well is established by combining borehole survey data, and the spatial distribution of geothermal reservoirs is visualized through the three-dimensional geological model of the geothermal well. The geothermal station is divided into prefabricated modules according to the heat exchange area, pump room area, control area and transportation restriction rules, and a prefabricated module model is constructed based on measured coordinate data; The model numbers of prefabricated modules of different specifications are stored in a distributed database; The construction process configuration file is called, the assembly process parameters are parsed, the module model is called from the database according to the process sequence, and the model is deployed into the geological foundation model to complete the overall model reshaping of the geothermal station. During model remodeling, it is determined whether the BIM operation chain violates design constraints based on the collaborative operation log, which is constructed in the following way: During the geothermal station design process, in response to BIM operation instructions called by each prefabricated module model, the tracking structure of the fill entries is recorded in the cache, where each entry identifies the BIM operation type and three-dimensional coordinates associated with the current design task instance; The tracking structure is used to detect associated operations that form an operation chain. If the associated operations are related to the same design task instance, they are identified as an associated operation chain. In response to determining that the operation chain violates design constraints, the addition of new operation instructions to the current design task instance is blocked.

2. The design method for a large-space prefabricated geothermal station according to claim 1, characterized in that: The entries in the tracking structure include key-value pairs, where the key contains the design task instance identifier and operation type code, and the value contains the operation parameters such as well depth, pipe spacing, flange specifications, and three-dimensional spatial coordinates. Design constraints include at least one of geometric conflict constraints and energy consumption constraints; The condition for violating geometric conflict constraints is: the distance between the pipeline and the structure is less than 50mm or the clear distance between the equipment and the wall is less than 100mm. The condition for violating energy consumption constraints is: the output value of the dynamic energy consumption model exceeds the threshold. Specific methods for blocking new operation instructions include: adding violation instruction entries to the tracked structure; sending interruption instructions to related professional design modules through the BIM collaboration platform and generating an optimization solution report.

3. The design method for a large-space prefabricated geothermal station according to claim 1, characterized in that: The geological foundation model integrates borehole columnar sections, isotherm distribution maps, and heat flow direction vector maps, supporting cross-sectional analysis of thermal reservoir parameters at any depth.

4. The design method for a large-space prefabricated geothermal station according to claim 1, characterized in that: The parameterization tool automatically generates the boundary coordinates and / or interface list of any two prefabricated module models; the interface connection methods include flange connection, bolt connection and quick plug-in; The file attributes of any prefabricated module model can be dynamically controlled through the configuration module: when any prefabricated module model is loaded into the positioning area, the attributes are set to readable and writable, and the monitoring unit is enabled to track its spatial coordinate changes in real time; when any prefabricated module model is moved to the design position, the coordinate data is recorded and the attributes are locked to readable but not writable.

5. The design method for a large-space prefabricated geothermal station according to claim 1, characterized in that, Using the task scheduling module as the initial monitoring location with the positioning area, and combining GIS terrain data and particle swarm optimization module to optimize the hoisting path, the overall model of the geothermal station is reshaped, and a reshaped path is formed.

6. The design method for a large-space prefabricated geothermal station according to claim 1, characterized in that, Based on geometric Boolean operations, the system automatically identifies conflict points between pipes and beams / columns, and between equipment and walls, and generates conflict reports containing three-dimensional coordinates.

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