A municipal road construction method and system based on BIM

Abstract

The application relates to the technical field of big data and discloses a municipal road construction method and system based on BIM. The method and system collect basic data through big data technology and laser scanning and other means, form a database, eliminate information islands, reduce misunderstandings and delays caused by information asymmetry, and secondly, through the establishment of a complete city BIM model, collision detection of underground pipelines and road structures is realized, the safety hazards and economic losses in construction are reduced, meanwhile, virtual simulation technology enables each link of the construction process to be preplayed, the construction sequence and resource allocation are optimized, finally, through real-time data comparison and dynamic adjustment, the deviation in the construction process can be found and corrected in time, so that the construction quality and progress are ensured, a series of measures not only improve the overall efficiency of construction, but also lay a solid foundation for subsequent road operation and management, and promote the transformation of the construction industry to digitization and intelligentization.

Description

Technical Field

[0001] This invention relates to the field of big data technology, specifically to a BIM-based method and system for municipal road construction. Background Technology

[0002] In recent years, Building Information Modeling (BIM) has been widely used in the construction industry, especially in the design, construction and operation management stages. BIM technology promotes collaborative work and information sharing by providing visualized 3D models and rich data support.

[0003] Traditional road construction methods rely primarily on two-dimensional drawings, paper documents, and manual records, resulting in significant shortcomings such as information silos and poor communication. Traditional design phases often lack effective three-dimensional visualization tools, leading to misunderstandings between designers and construction teams and making it difficult to accurately convey design intent. This information asymmetry frequently causes misunderstandings during construction, resulting in repeated modifications and delays. Furthermore, the gap between the actual conditions at the construction site and the design drawings is difficult to monitor in real time, hindering construction personnel from obtaining the latest site information and increasing construction risks and safety hazards. Secondly, traditional progress management and resource allocation methods typically rely on manual records and experience-based judgment, lacking systematic data analysis and making it difficult to achieve scientific scheduling and optimization, leading to low construction efficiency and project delays. Thirdly, the management and collision detection of underground pipelines during construction often rely on manual inspections, which are prone to omissions and errors, causing significant safety hazards and economic losses in subsequent construction. Summary of the Invention

[0004] (a) Technical problems to be solved

[0005] To address the shortcomings of existing technologies, this invention provides a BIM-based municipal road construction method and system. It systematically collects basic data through big data technology and laser scanning to form a database, eliminating information silos and ensuring effective communication between design and construction teams. This reduces misunderstandings and delays caused by information asymmetry. Secondly, by establishing a complete urban BIM model, it enables collision detection between underground pipelines and road structures, reducing safety hazards and economic losses during construction. Simultaneously, virtual simulation technology allows for pre-visualization of each stage of the construction process, optimizing the construction sequence and resource allocation, and improving scientific rigor and feasibility. Finally, through real-time data comparison and dynamic adjustment, deviations during construction can be promptly detected and corrected, thereby ensuring construction quality and schedule.

[0006] (II) Technical Solution

[0007] To achieve the above objectives, the present invention provides the following technical solution: a BIM-based municipal road construction method, comprising the following steps:

[0008] S1. Collect basic data on road construction projects through big data technology, including topographic data, current road information, underground pipeline layout, land use planning, road construction regulations and road construction standards. Obtain road topographic information through actual measurement, laser scanning and point cloud acquisition technology, and collect data on the direction, type, burial depth and pipeline channels of underground pipelines. Organize land use and planning information to form a basic data database.

[0009] S2. Based on the basic data database, establish a digital terrain model and road geometry model in 3D modeling software, and at the same time establish an underground pipeline model. Integrate the underground pipeline model, terrain model and road geometry model to form a complete urban BIM model.

[0010] S3. Import the underground pipeline model, terrain model, and road geometry model into the integration platform, perform collision detection, identify potential conflict areas, and adjust the underground pipeline layout and road structure design parameters based on the identification and detection results.

[0011] S4. Based on the complete city BIM model, extract construction details to generate construction drawings, and generate construction procedures, construction schedules and resource allocation plans. At the same time, combine the complete city BIM model information to conduct engineering quantity statistics and construction plan simulation.

[0012] S5. Use a complete urban BIM model to virtually simulate the construction process. The virtual simulation includes mechanical operation, construction sequence and construction space layout, and verifies the rationality and feasibility of the construction plan, identifies potential obstacles and conflicts, and optimizes the construction route and process arrangement.

[0013] S6. After the virtual simulation is completed, on-site measurement, progress monitoring and quality inspection are used to obtain actual road construction data. The actual road construction data is compared with the complete urban BIM model for the first time to synchronize information and make dynamic adjustments, and to promptly identify and adjust construction deviations.

[0014] S7. After the first data comparison, the actual road construction data will be compared with the complete urban BIM model to form a road as-built model. All data during the road construction period will be organized to establish a complete road as-built BIM model, which will serve as the basic information carrier for subsequent road operation and maintenance management.

[0015] A BIM-based municipal road construction system includes a basic data acquisition and processing module, a digital model building module, a collision detection and design optimization module, a construction design and decision support module, a construction simulation and path optimization module, a construction monitoring and deviation adjustment module, and a completion data integration and operation and maintenance basic module.

[0016] The basic data collection and processing module collects basic data of road construction projects through big data technology, including topographic data, current road information, underground pipeline layout, land use planning, road construction regulations and road construction standards. It also obtains road topographic information through actual measurement, laser scanning and point cloud acquisition technology, and collects information on the direction, type, burial depth and pipeline channels of underground pipelines. It also processes land use and planning information to form a basic data database.

[0017] The digital model establishment module establishes a digital terrain model and a road geometry model in 3D modeling software based on the basic data database, and at the same time establishes an underground pipeline model. The underground pipeline model, terrain model and road geometry model are integrated to form a complete urban BIM model.

[0018] The collision detection and design optimization module imports the underground pipeline model, terrain model, and road geometry model into the integration platform, performs collision detection, identifies potential conflict areas, and adjusts the underground pipeline layout and road structure design parameters based on the detection results.

[0019] The construction design and decision support module extracts detailed construction information from the complete city BIM model to generate construction drawings, as well as construction procedures, construction schedules, and resource allocation plans. It also combines the complete city BIM model information to perform quantity surveys and construction plan simulations.

[0020] The construction simulation and route optimization module uses a complete urban BIM model to virtually simulate the construction process. The virtual simulation includes mechanical operation, construction sequence and construction space layout, and verifies the rationality and feasibility of the construction plan, identifies potential obstacles and conflicts, and optimizes the construction route and process arrangement.

[0021] After the virtual simulation ends, the construction monitoring and deviation adjustment module uses on-site measurement, progress monitoring and quality inspection to obtain actual road construction data. It then compares the actual road construction data with the complete urban BIM model for the first time, synchronizes information and makes dynamic adjustments, and promptly detects and adjusts construction deviations.

[0022] After the first data comparison, the as-built data integration and operation and maintenance basic module compares the actual road construction data with the complete urban BIM model a second time to form a road as-built model. It also organizes all data during the road construction period to establish a complete road as-built BIM model, which serves as the basic information carrier for subsequent road operation and maintenance management.

[0023] Compared with existing technologies, this invention provides a BIM-based method and system for municipal road construction, which has the following beneficial effects:

[0024] This invention systematically collects basic data through big data technology and laser scanning to form a database, eliminating information silos and ensuring effective communication between design and construction teams. This reduces misunderstandings and delays caused by information asymmetry. Secondly, by establishing a complete urban BIM model, collision detection between underground pipelines and road structures is achieved, reducing safety hazards and economic losses during construction. At the same time, virtual simulation technology allows for the pre-visualization of each stage of the construction process, optimizing the construction sequence and resource allocation, and improving scientific rigor and feasibility. Finally, through real-time data comparison and dynamic adjustment, deviations during construction can be detected and corrected in a timely manner, thereby ensuring construction quality and progress. This series of measures not only improves the overall efficiency of construction but also lays a solid foundation for subsequent road operation and maintenance management, promotes the digital and intelligent transformation of the construction industry, and provides strong support for modern municipal engineering. Attached Figure Description

[0025] Figure 1 This is a schematic diagram of the method steps of the present invention;

[0026] Figure 2 This is a schematic diagram of the system flow of the present invention;

[0027] Figure 3 This is a flowchart of the collision detection and design optimization module of the present invention. Detailed Implementation

[0028] 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.

[0029] Traditional road construction methods, which rely heavily on 2D drawings, paper documents, and manual records, suffer from significant shortcomings such as information silos and poor communication. Therefore, a BIM-based municipal road construction method is proposed. Please refer to [link / reference]. Figure 1 The method includes the following steps:

[0030] S1. Collect basic data on road construction projects through big data technology, including topographic data, current road information, underground pipeline layout, land use planning, road construction regulations and road construction standards. Obtain road topographic information through actual measurement, laser scanning and point cloud acquisition technology, and collect data on the direction, type, burial depth and pipeline channels of underground pipelines. Organize land use and planning information to form a basic data database.

[0031] In the basic data collection phase of road construction projects, big data technology is used as the core means to integrate multi-source and multi-dimensional data resources to ensure the comprehensiveness and accuracy of the data. Remote sensing and telemetry technologies (such as satellite remote sensing and UAV remote sensing) are used to acquire large-scale topographic and geomorphological information. High-precision point cloud acquisition is carried out using laser scanning technology (LiDAR) to obtain detailed topographic surface features and cover complex geomorphological changes. After processing, the point cloud data will be converted into digital terrain models (DTM) and digital surface models (DSM), which will greatly improve the accuracy of topographic information and spatial analysis capabilities. Underground pipeline layout information is collected through ground penetrating radar (GPR) and pipeline detection instruments, and managed and analyzed in conjunction with geographic information systems (GIS) to collect information on pipeline direction, type, burial depth, and channel layout. At the same time, existing land use planning and road construction standards and regulations are integrated to form a multi-dimensional basic data database to provide data support for subsequent construction design.

[0032] During the data acquisition process, the following formulas can be used to quantify the spatial characteristics of terrain and pipeline layout. ,in, For local elevation differences, The horizontal distance is used to describe the slope characteristics of the terrain, helping to assess the rationality of road design slope and avoid drainage and safety problems caused by excessive slope;

[0033] The integration of these technologies not only improves the accuracy of terrain and underground pipeline data, but also effectively analyzes environmental characteristics, predicts construction difficulties, reduces risks and costs caused by insufficient information, ensures the integrity and scientific nature of basic data, and provides a solid data foundation for subsequent model building, collision detection and design optimization.

[0034] S2. Based on the basic data database, establish a digital terrain model and road geometry model in 3D modeling software, and at the same time establish an underground pipeline model. Integrate the underground pipeline model, terrain model and road geometry model to form a complete urban BIM model.

[0035] Supported by a basic data database, advanced 3D modeling software (such as Revit, Civil 3D, and InfraWorks) is used to construct detailed digital models of urban road construction areas. First, high-precision topographic data is input from the database, and digital terrain models (DTM) and digital surface models (DSM) are used to reconstruct the terrain, ensuring its integrity and realism. The terrain model is usually built using a grid or TIN (triangular network) method, and interpolation algorithms are used to accurately represent continuous planes and complex landforms through point cloud data. Next, a 3D road geometric model is constructed in the modeling software using road geometric parameters (such as roadbed width, road surface elevation, and drainage path), ensuring that the model details meet the design specifications. At the same time, underground pipeline models are built in 3D using collected information on direction, type, and burial depth in professional pipeline modeling software (such as Bentley MicroStation and OpenRoads Designer), ensuring that the spatial layout and connection relationships of the pipelines conform to the actual layout.

[0036] These different models (terrain, road geometry, underground pipelines) are unified through spatial registration and coordinate system, and integrated using the "model integration" or "fusion" function in the software. This ensures that the spatial and topological relationships of each element are accurately corresponded, forming a complete 3D BIM (Building Information Modeling) model of the city. The advantage of this integrated model is that it can comprehensively reflect the spatial layout of urban infrastructure, providing accurate 3D data support for collision detection, scheme optimization, construction simulation and other aspects, significantly improving the efficiency and safety of construction design, reducing errors and rework costs, thereby achieving lean management and intelligent construction.

[0037] S3. Import the underground pipeline model, terrain model, and road geometry model into the integration platform, perform collision detection, identify potential conflict areas, and adjust the underground pipeline layout and road structure design parameters based on the identification and detection results.

[0038] In the optimization of underground pipeline layout, the use of conflict detection and adjustment formulas, combined with modern spatial information technology and optimization algorithms, can achieve a scientific and rational pipeline layout goal. The objective function of this formula... By measuring the distance to potential conflict points and the preset minimum safe distance By comparing, it automatically identifies conflict areas where the distance is insufficient. Less than At this point, the value of the objective function increases significantly with the increase of conflict points, prompting the optimization system to adjust the spatial location of the pipeline (i.e., To reduce the risk of conflict, underground pipeline models, terrain models, and road geometry models are imported into a professional integration platform using Geographic Information System (GIS) or 3D modeling software (such as Revit or Bentley MicroStation). Spatial analysis algorithms are used to quickly identify potential conflict points, and optimization algorithms (such as genetic algorithms and particle swarm optimization) are used to continuously adjust the spatial position of pipelines to maximize the satisfaction of safety distance requirements and reduce spatial conflicts. The key benefits of this method are that it can automatically identify potential structural conflict areas, reduce human judgment errors and design time, improve the scientificity and rationality of pipeline layout, avoid rework and safety accidents caused by conflicts in the later stages of construction, thereby significantly reducing project costs, improving construction efficiency, and ensuring a safe, economical, and reliable layout of underground infrastructure.

[0039] S4. Based on the complete city BIM model, extract construction details to generate construction drawings, and generate construction procedures, construction schedules and resource allocation plans. At the same time, combine the complete city BIM model information to conduct engineering quantity statistics and construction plan simulation.

[0040] Based on a complete urban BIM model, parametric data extraction technology is used to automatically generate detailed construction drawings from the model, ensuring the accurate transmission of construction design information. Simultaneously, by combining the time, resource, and process information from the model, a systematic list of construction processes is established. Based on the base time and resource adjustment coefficients for each process, formulas are used to... The total construction time is estimated, of which Representing the The basic construction time in days for each process. This corresponds to the resource adjustment coefficient (reflecting mechanical efficiency, personnel efficiency, etc., ranging from 0 to 1), while This model, which represents the total number of all construction procedures, not only effectively reflects the impact of resource optimization on the construction period but also assists in the scientific management of construction time. In terms of resource allocation, it combines the detailed construction information extracted from the BIM model to formulate detailed resource allocation plans and optimize the scheduling of machinery, labor, and materials. Regarding quantity surveying, based on various construction elements extracted from the model (such as earthwork, pipeline length, and structural volume), it utilizes... The formula is used to calculate the total quantity of work for all construction projects, where Represents the total amount of work. For the first Specific quantities of the project (meters, cubic meters, etc.). This process provides accurate total construction data for the total number of project items, providing a basis for cost management and resource scheduling. Combined with project quantity statistics, construction time estimation, and construction plan simulation (such as virtual simulation, collision detection, and process coordination), potential construction conflicts and risks can be identified in advance, construction plans can be optimized, on-site changes and delays can be reduced, and the efficiency and safety of urban infrastructure construction can be greatly improved. This fully demonstrates the key application value of BIM technology in the entire process of urban construction.

[0041] S5. Use a complete urban BIM model to virtually simulate the construction process. The virtual simulation includes mechanical operation, construction sequence and construction space layout, and verifies the rationality and feasibility of the construction plan, identifies potential obstacles and conflicts, and optimizes the construction route and process arrangement.

[0042] In the process of optimizing construction paths using a complete urban BIM model, a multi-objective function is employed. To achieve scientific coordination and optimization of the entire construction process, the objective function includes the total length of the construction machinery's movement path. Total time for construction procedures and potential points of conflict As key optimization indicators, these indicators can be normalized using artificial intelligence methods before participating in multi-objective function calculations, and their weight coefficients can be adjusted. and The three weighting coefficients can all be 0.33. A specific optimization objective can be highlighted based on the actual needs of the project. Specifically, using a comprehensive urban BIM model for virtual construction simulation, including simulation of machinery operation paths, rational arrangement of construction sequence, and verification of construction space layout, helps to identify potential spatial conflicts and construction obstacles in advance, ensuring the rationality and feasibility of the plan. By establishing virtual simulation environments for different plans, potential problems in spatial layout, schedule, and machinery movement of the construction plan can be repeatedly verified, thereby continuously optimizing the construction route, reducing machinery movement distance, shortening construction time, and reducing conflict risks. This multi-objective path optimization technique greatly improves the coordination efficiency and safety level of the construction site, ultimately achieving shorter construction progress, resource savings, and reduced construction risks, providing solid technical support for the rapid, rational, and safe construction of urban infrastructure.

[0043] S6. After the virtual simulation is completed, on-site measurement, progress monitoring and quality inspection are used to obtain actual road construction data. The actual road construction data is compared with the complete urban BIM model for the first time to synchronize information and make dynamic adjustments, and to promptly identify and adjust construction deviations.

[0044] In the entire construction process management, combining urban BIM models with actual on-site construction data is a key step in achieving refined monitoring and management, through deviation detection formulas. It can quantitatively assess the construction deviation at each measurement point, among which, This represents the actual distance (in meters) measured on-site, while The distance (in meters) estimated in the BIM model, and the percentage deviation. This reflects the degree of deviation between actual construction and model predictions, helping managers identify the magnitude and direction of the deviation and thus formulate targeted adjustment plans. In addition, real-time monitoring of construction progress is also achieved through formulas. Implementation, in which This represents the amount of work that has been completed. This indicator represents the total amount of the overall project and reflects the actual progress of construction, ensuring that the project achieves its expected goals on schedule. After the virtual simulation construction is completed, the data is compared and synchronized with the on-site measurement data, progress monitoring information, and quality inspection results. The construction plan and scheme are adjusted in real time, and deviations are promptly identified and corrected to ensure the synchronization of construction quality and progress. At the same time, the deviation data is used to track and analyze construction deviations, which helps to optimize the construction process, reduce error accumulation, and improve construction efficiency and accuracy. This complete deviation assessment system achieves a high degree of integration between the model and on-site information, effectively supporting dynamic monitoring, risk control, and precise management of the entire construction process.

[0045] S7. After the first data comparison, the actual road construction data will be compared with the complete urban BIM model to form a road as-built model. All data during the road construction period will be organized to establish a complete road as-built BIM model, which will serve as the basic information carrier for subsequent road operation and maintenance management.

[0046] After the initial data comparison, the construction team conducted a second, detailed comparison between the actual on-site road construction data and the initial urban BIM model, thus forming a complete as-built road model. This process not only helps verify the actual effects during construction and the accurate correspondence between the model and the actual construction process, but also comprehensively organizes all data collected during construction, including measurement data, monitoring data, and quality inspection results, providing a foundation for building the as-built road BIM model. This as-built model, as the core information carrier for subsequent road operation and maintenance management, integrates real data and spatial information from the entire construction process, enabling digital management of daily maintenance, emergency response, and status monitoring. To measure the completeness of the as-built model, an index defined by the formula "Integration Completeness of As-Built Model" is used. in, This represents the amount of data actually collected or integrated into the model during the completion phase. This refers to the total amount of data that should ideally be collected or generated. This indicator is used to evaluate the data completeness of the as-built model, ensuring that the model contains key data from the entire construction process and has the ability to fully reflect the actual construction status and structural characteristics. This technical means guarantees the high integrity and reliability of the as-built model, providing comprehensive and accurate basic information support for subsequent operation and maintenance management, helping to improve the maintenance efficiency and emergency response capabilities of urban infrastructure, and promoting the in-depth development of smart city construction.

[0047] Please see Figure 2 A BIM-based municipal road construction system includes a basic data acquisition and processing module, a digital model building module, a collision detection and design optimization module, a construction design and decision support module, a construction simulation and path optimization module, a construction monitoring and deviation adjustment module, and a completion data integration and operation and maintenance basic module.

[0048] The basic data collection and processing module collects basic data for road construction projects through big data technology, including topographic data, current road information, underground pipeline layout, land use planning, road construction regulations and standards. It also obtains road topographic information through actual measurement, laser scanning and point cloud acquisition technology, and collects information on the direction, type, burial depth and pipeline channels of underground pipelines. It also processes land use and planning information to form a basic data database.

[0049] The digital model is established by creating a digital terrain model and a road geometry model in 3D modeling software based on the basic data database. At the same time, an underground pipeline model is also created. The underground pipeline model, terrain model and road geometry model are integrated to form a complete urban BIM model.

[0050] The collision detection and design optimization module imports underground pipeline models, terrain models, and road geometry models into the integration platform, performs collision detection, identifies potential conflict areas, and adjusts the underground pipeline layout and road structure design parameters based on the detection results.

[0051] The construction design and decision support module extracts detailed construction information from the complete city BIM model to generate construction drawings, as well as construction procedures, construction schedules, and resource allocation plans. It also combines the complete city BIM model information to perform quantity surveys and construction plan simulations.

[0052] The construction simulation and route optimization module uses a complete urban BIM model to virtually simulate the construction process. The virtual simulation includes mechanical operation, construction sequence and construction space layout, and verifies the rationality and feasibility of the construction plan, identifies potential obstacles and conflicts, and optimizes the construction route and process arrangement.

[0053] After the virtual simulation ends, the construction monitoring and deviation adjustment module uses on-site measurement, progress monitoring and quality inspection to obtain actual road construction data. It then compares the actual road construction data with the complete urban BIM model for the first time, synchronizes information and makes dynamic adjustments, and promptly detects and adjusts construction deviations.

[0054] After the initial data comparison, the as-built data integration and operation and maintenance basic module performs a second comparison between the actual road construction data and the complete urban BIM model to form a road as-built model. It also organizes all data during the road construction period to establish a complete road as-built BIM model, which serves as the basic information carrier for subsequent road operation and maintenance management.

[0055] The comprehensive application of the above methods and systems not only improves the overall efficiency of construction, but also lays a solid foundation for subsequent road operation and maintenance management, promotes the transformation of the construction industry towards digitalization and intelligence, and provides strong support for modern municipal engineering.

[0056] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A BIM-based municipal road construction method, characterized by, Includes the following steps: S1. Collect basic data on road construction projects through big data technology, including topographic data, current road information, underground pipeline layout, land use planning, road construction regulations and road construction standards. Obtain road topographic information through actual measurement, laser scanning and point cloud acquisition technology, and collect data on the direction, type, burial depth and pipeline channels of underground pipelines. Organize land use and planning information to form a basic data database. S2. Based on the basic data database, establish a digital terrain model and road geometry model in 3D modeling software, and at the same time establish an underground pipeline model. Integrate the underground pipeline model, terrain model and road geometry model to form a complete urban BIM model. S3. Import the underground pipeline model, terrain model, and road geometry model into the integration platform, perform collision detection, identify potential conflict areas, and adjust the underground pipeline layout and road structure design parameters based on the detection results. In S3, minimizing conflict risk is used for underground pipeline layout optimization. A conflict detection and adjustment formula is employed, with the objective function of the formula... By measuring the distance to potential conflict points and the preset minimum safe distance By comparing, it automatically identifies conflict areas where the distance is insufficient. Less than When the number of conflict points increases, the value of the objective function will increase significantly. Combined with genetic algorithms or particle swarm optimization, the spatial position of the pipeline can be continuously adjusted to reduce the risk of conflict. S4. Based on the complete city BIM model, extract construction details to generate construction drawings, and generate construction procedures, construction schedules and resource allocation plans. At the same time, combine the complete city BIM model information to conduct engineering quantity statistics and construction plan simulation. S5. Use a complete urban BIM model to virtually simulate the construction process. The virtual simulation includes mechanical operation, construction sequence and construction space layout, and verifies the rationality and feasibility of the construction plan, identifies potential obstacles and conflicts, and optimizes the construction route and process arrangement. S6. After the virtual simulation is completed, on-site measurement, progress monitoring and quality inspection are used to obtain actual road construction data. The actual road construction data is compared with the complete urban BIM model for the first time to synchronize information and make dynamic adjustments, and to promptly identify and adjust construction deviations. S7. After the first data comparison, the actual road construction data will be compared with the complete urban BIM model to form a road as-built model. All data during the road construction period will be organized to establish a complete road as-built BIM model, which will serve as the basic information carrier for subsequent road operation and maintenance management.

2. The BIM-based municipal road construction method of claim 1, wherein: In step S1, the terrain slope also needs to be calculated for road design.

3. The BIM-based municipal road construction method of claim 1, wherein: In step S4, the construction period needs to be calculated to estimate the overall construction time.

4. The BIM-based municipal road construction method according to claim 3, characterized in that: In step S6, the construction progress completion rate also needs to be calculated to track the construction progress.

5. A BIM-based municipal road construction system implementing the method of claim 1, characterized by: It includes modules for basic data collection and processing, digital model building, collision detection and design optimization, construction design and decision support, construction simulation and path optimization, construction monitoring and deviation adjustment, and as-built data integration and basic operation and maintenance. The basic data collection and processing module collects basic data of road construction projects through big data technology, including topographic data, current road information, underground pipeline layout, land use planning, road construction regulations and road construction standards. It also obtains road topographic information through actual measurement, laser scanning and point cloud acquisition technology, and collects information on the direction, type, burial depth and pipeline channels of underground pipelines. It also processes land use and planning information to form a basic data database. The digital model establishment module establishes a digital terrain model and a road geometry model in 3D modeling software based on the basic data database, and at the same time establishes an underground pipeline model. The underground pipeline model, terrain model and road geometry model are integrated to form a complete urban BIM model. The collision detection and design optimization module imports underground pipeline models, terrain models, and road geometry models into the integrated platform for collision detection. It identifies potential conflict areas and adjusts the underground pipeline layout and road structure design parameters based on the detection results. By minimizing conflict risk, it optimizes the underground pipeline layout. A conflict detection and adjustment formula is used, and the objective function of the formula is... By measuring the distance to potential conflict points and the preset minimum safe distance By comparing, it automatically identifies conflict areas where the distance is insufficient. Less than At this time, the value of the objective function will increase significantly with the increase of conflict points. Combined with genetic algorithm or particle swarm optimization, the spatial position of the pipeline can be continuously adjusted to reduce the risk of conflict. The construction design and decision support module extracts detailed construction information from the complete city BIM model to generate construction drawings, as well as construction procedures, construction schedules, and resource allocation plans. It also combines the complete city BIM model information to perform quantity surveys and construction plan simulations. The construction simulation and route optimization module uses a complete urban BIM model to virtually simulate the construction process. The virtual simulation includes mechanical operation, construction sequence and construction space layout, and verifies the rationality and feasibility of the construction plan, identifies potential obstacles and conflicts, and optimizes the construction route and process arrangement. After the virtual simulation ends, the construction monitoring and deviation adjustment module uses on-site measurement, progress monitoring and quality inspection to obtain actual road construction data. It then compares the actual road construction data with the complete urban BIM model for the first time, synchronizes information and makes dynamic adjustments, and promptly detects and adjusts construction deviations. After the first data comparison, the as-built data integration and operation and maintenance basic module compares the actual road construction data with the complete urban BIM model a second time to form a road as-built model. It also organizes all data during the road construction period to establish a complete road as-built BIM model, which serves as the basic information carrier for subsequent road operation and maintenance management.

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