Intelligent Analysis and Construction Method and Storage Medium for Temporary Roads Based on BIM Technology

Abstract

This invention discloses a method and storage medium for intelligent analysis and construction of temporary roads based on BIM technology, aiming to solve the problems of existing technologies relying on manual labor, low planning efficiency, and lack of dynamic analysis capabilities. The method first acquires topographic point cloud, historical traffic flow, and obstacle information of the construction area through multi-source data collection, and constructs a 3D BIM scene integrating terrain, road network, and obstacles. Then, based on preset start and end points and road layout areas, the system automatically generates a 3D model and preliminary plan for the temporary road using built-in algorithms and a parameterized family library. Next, dynamic simulation analysis is performed using historical traffic flow data to optimize road parameters and complete collision verification, outputting a file package containing the model, analysis report, and construction parameters. Finally, visual construction guidance is provided via a mobile terminal. This invention achieves intelligent management of the entire process from data to construction, significantly improving the accuracy, efficiency, and economy of temporary road planning.

Description

Technical Field

[0001] This application relates to the field of computer technology, and in particular to a method and storage medium for intelligent analysis and construction of temporary roads based on BIM technology. Background Technology

[0002] In traffic diversion projects during construction, especially on urban arterial roads with high traffic volume, it is often necessary to add temporary roads for traffic diversion. Current technical solutions heavily rely on manual on-site surveys and experience-based judgment. Construction workers use equipment such as total stations to measure terrain data, manually calculate parameters such as lane width and turning radius based on experience, and then draw two-dimensional construction drawings. This method is time-consuming, and the two-dimensional drawings cannot intuitively show the spatial relationship between temporary roads and surrounding buildings and underground pipelines, easily leading to construction collisions and rework. Adjustments to the plan require repeated surveys and drawings, resulting in low efficiency.

[0003] Some improvement solutions attempt to incorporate 3D technology. For example, existing technologies disclose BIM-based traffic management methods for municipal engineering, which create 3D models and import them into specific software for traffic simulation to optimize the placement of enclosures and traffic signs. However, the core of such methods lies in visually simulating and comparing existing road traffic diversion schemes, without addressing the automatic generation and intelligent parameter optimization of new temporary roads. Their traffic flow data largely relies on manual counting at fixed time periods or static data sources, lacking the ability to analyze dynamically changing traffic flow in real time, making it difficult to meet the actual needs of precise planning for temporary roads.

[0004] Another type of existing technology focuses on the integration and conversion of BIM information and traffic simulation information, aiming to achieve collaborative work between different software platforms. While improving design efficiency, this technology remains at the information integration level and fails to address the key issue of how temporary road solutions can intelligently adapt to complex construction scenarios. Therefore, existing technologies generally suffer from low automation, static traffic flow analysis, and superficial utilization of 3D scenes, resulting in room for improvement in the scientific rigor, economic efficiency, and construction efficiency of temporary road planning. Summary of the Invention

[0005] Firstly, this application provides a method for intelligent analysis and construction of temporary roads based on BIM technology, including:

[0006] Acquire on-site geographic information data, historical traffic flow data, and environmental obstacle information of the construction area, and perform standardized processing;

[0007] The processed data is imported into the building information modeling platform to automatically generate a three-dimensional basic scene that integrates terrain, existing road network and obstacles.

[0008] In the aforementioned 3D scene, key control points for temporary roads are specified, and the system automatically plans the path and generates a parameterized 3D model of the temporary roads based on a built-in intelligent algorithm.

[0009] The traffic network after integrating temporary roads is dynamically simulated and analyzed by combining historical traffic flow data. The design parameters of the temporary roads are optimized based on the simulation results, and conflict detection is also performed.

[0010] The optimized 3D model will be visualized and output, and this optimized 3D model will be used to guide on-site construction.

[0011] Furthermore, in the data acquisition and fusion step, the methods for obtaining on-site geographic information data include using unmanned aerial vehicle (UAV) remote sensing measurements or using commercially available geographic data services that have been verified in the field.

[0012] Furthermore, the historical traffic flow data includes traffic volume, average speed, and traffic composition information covering multiple historical periods obtained from the city's traffic data center.

[0013] Furthermore, in the parametric road generation step, when the system automatically plans the path, it will intelligently identify and avoid environmental obstacles, and call the standard component library according to the preset road design specifications to complete the model construction.

[0014] Furthermore, the design scheme automatically generated by the system includes the spatial alignment, cross-sectional layout, estimated traffic capacity, and key engineering quantity information of the temporary road.

[0015] Furthermore, in the dynamic simulation and scheme optimization steps, the dynamic simulation analysis focuses on evaluating the service level of temporary roads under specific traffic conditions and their impact on the overall road network.

[0016] Furthermore, optimizing design parameters based on simulation results includes adjusting lane configurations, optimizing road intersection designs, or adding traffic management facilities.

[0017] Furthermore, in the construction guidance and information delivery steps, on-site construction guidance is achieved by using mobile computing devices to overlay and match the 3D model with the actual construction site to achieve precise positioning.

[0018] Furthermore, the delivered data deliverables also include a model-based traffic organization scheme recommendation report.

[0019] Secondly, the present invention also provides a non-volatile computer-readable storage medium storing a computer program, which, when executed by a processor, can implement any of the BIM-based intelligent analysis and construction methods for temporary roads.

[0020] The intelligent analysis and construction method and storage medium for temporary roads based on BIM technology provided by this invention can bring significant benefits. Its core value lies in achieving a qualitative leap in temporary road planning and construction through technological integration and process reengineering. Firstly, at the data level, this method achieves deep integration and efficient utilization of multi-source information, transforming the traditionally discrete and static data relying on manual surveys into a systematic and dynamic data-driven decision-making process. This fundamentally avoids planning deviations and construction rework caused by inaccurate or outdated data, greatly improving the reliability and first-time success rate of the solution. During the model building and solution generation stages, the system's built-in intelligent algorithm can automatically handle complex environmental constraints and engineering rules, quickly generating optimal temporary road solutions that conform to specifications and fit the actual site conditions. This process not only shortens the planning cycle from several days to several hours but also effectively controls material usage through precise parametric design, avoiding resource waste caused by traditional experience-based estimations, thus achieving cost reduction and efficiency improvement. The introduction of dynamic traffic flow analysis functionality allows for project evaluation to move beyond static geometric design. It enables proactive simulation of real-world traffic conditions after temporary roads are put into operation. Quantitative analysis of key indicators such as traffic efficiency and bottleneck risks provides a scientific basis for project optimization, ensuring that temporary roads are not only successfully built but also effectively utilized, significantly improving the effectiveness and safety of traffic management. Ultimately, by directly applying the optimized BIM model to the construction site for visual guidance, a precise and efficient transformation from digital virtuality to physical entity is achieved. Construction personnel can intuitively understand the design intent and accurately execute construction tasks, significantly reducing on-site coordination and downtime, and improving overall construction quality and efficiency. In summary, this invention, through intelligent and integrated processing throughout the entire process, produces synergistic and amplified positive effects in terms of planning scientificity, economy, construction efficiency, and final result quality, providing strong technical support for traffic management projects in complex urban environments. Attached Figure Description

[0021] Figure 1 This is a flowchart of a temporary road intelligent analysis and construction method based on BIM technology provided in an embodiment of this application;

[0022] Figure 2 This is an example diagram of a three-dimensional basic scene in a temporary road intelligent analysis and construction method based on BIM technology provided in an embodiment of this application;

[0023] Figure 3 This is an example diagram of a three-dimensional model of a temporary road in a BIM-based intelligent analysis and construction method for temporary roads provided in an embodiment of this application;

[0024] Figure 4This is another example diagram of a three-dimensional model of a temporary road in a temporary road intelligent analysis and construction method based on BIM technology provided in the embodiments of this application;

[0025] Figure 5 This is another example diagram of a three-dimensional model of a temporary road in a temporary road intelligent analysis and construction method based on BIM technology provided in the embodiments of this application. Detailed Implementation

[0026] To make the objectives, technical solutions, and advantages of this application clearer, specific embodiments of this application will be described in further detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are merely for explaining this application and not for limiting it. It should also be noted that, for ease of description, only the parts relevant to this application are shown in the drawings, not all of them. Before discussing exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although the flowcharts describe operations (or steps) as being processed sequentially, many of these operations can be performed in parallel, concurrently, or simultaneously. Furthermore, the order of the operations can be rearranged. A process can be terminated when its operation is completed, but it may also have additional steps not included in the drawings. A process can correspond to a method, function, procedure, subroutine, subroutine, etc.

[0027] The terms "first," "second," etc., used in the specification and claims of this application are used to distinguish similar objects and not to describe a specific order or sequence. It should be understood that such use of data can be interchanged where appropriate so that embodiments of this application can be implemented in orders other than those illustrated or described herein, and the objects distinguished by "first," "second," etc., are generally of the same class and the number of objects is not limited; for example, a first object can be one or more. Furthermore, in the specification and claims, "and / or" indicates at least one of the connected objects, and the character " / " generally indicates that the preceding and following objects are in an "or" relationship.

[0028] refer to Figures 1-4 A method for intelligent analysis and construction of temporary roads based on BIM technology, comprising:

[0029] Acquire on-site geographic information data, historical traffic flow data, and environmental obstacle information of the construction area, and perform standardized processing;

[0030] The processed data is imported into the building information modeling platform to automatically generate a three-dimensional basic scene that integrates terrain, existing road network and obstacles.

[0031] In the aforementioned 3D scene, key control points for temporary roads are specified, and the system automatically plans the path and generates a parameterized 3D model of the temporary roads based on a built-in intelligent algorithm.

[0032] The traffic network after integrating temporary roads is dynamically simulated and analyzed by combining historical traffic flow data. The design parameters of the temporary roads are optimized based on the simulation results, and conflict detection is also performed.

[0033] The final optimized 3D model and related data results will be output to guide on-site construction.

[0034] Preferably, in some embodiments, the built-in algorithm employs an automatic path optimization algorithm under multi-objective constraints. Given three-dimensional terrain and constraints, it generates a temporary road path that meets construction requirements, has low cost, and high traffic efficiency. The algorithm abstracts the path planning problem into finding the optimal path in a weighted graph, and one of its core decision formulas is the evaluation of the overall path cost.

[0035]

[0036] To estimate the total cost of planning a path from the origin to the destination, the algorithm aims to find the path that minimizes this cost. The path is discretized into n segments for evaluation. For the i-th segment, its cost is composed of three weighted components. This refers to the cost of terrain modification. It is calculated based on factors such as the slope, cut and fill volume, and geological conditions of the location. The steeper the slope or the larger the earthwork volume, the higher this cost. This refers to the cost based on length. The longer the route, the higher the material and construction costs typically are. Curvature cost. Used to penalize overly sharp turns, which reduce traffic efficiency and safety, and increase construction difficulty. , , These are the weighting coefficients for each cost item, which can be adjusted according to project priority (for example, a mountain project may include terrain costs). (Higher weighting). The 3D terrain is meshed, and each mesh cell is assigned a basic passage cost based on its attributes (elevation, obstacles, geology, etc.), constructing a 3D cost field. It should be noted that, firstly, data collection work is carried out in the construction area. On-site terrain elevation data and surface attachment distribution information are obtained through UAV remote sensing measurement. At the same time, historical traffic flow data (including quarterly, monthly, and daily peak hour subdivision data) for the past 3 years is retrieved from the urban traffic data center. Information on environmental obstacles such as buildings, pipelines, and ancient trees in the construction area is recorded through on-site surveys. The above-mentioned collected data is standardized, and the geographic information data is uniformly converted into the WGS-84 coordinate system. The traffic flow data is denoised and completed, and the obstacle information is classified and coded. Subsequently, the standardized data is imported into building information modeling platforms such as Revit or Bentley Navigator. The platform automatically calls the terrain processing module and road network recognition module to generate a 3D basic scene containing 1:500 high-precision terrain, existing municipal road network, and clearly marked obstacles. In this 3D scenario, construction technicians specify key control points such as the starting point (construction area entrance), ending point (construction core area), and necessary nodes (e.g., material transportation channel interfaces) of the temporary road through the platform's interactive interface. The system's built-in A* path planning algorithm automatically calculates the optimal path and simultaneously calls the parametric component library of temporary roads corresponding to the "Urban Road Engineering Design Code" (CJJ37-2012) to generate a 3D model of the temporary road containing structures such as roadbed, pavement, and slopes. Next, peak-hour traffic flow data from historical traffic flow data is input into the VISSIM traffic simulation module to dynamically simulate the regional traffic network after integrating the temporary road. The simulation duration is set to 12 hours (including 3 hours each for morning and evening peak hours). The average traffic speed of the temporary road, vehicle queue length, and congestion index of surrounding roads are analyzed. If the simulation results show that the service level of a certain road segment is lower than level C, or there are vehicle intersection conflict points, the lane width of the temporary road is adjusted (e.g., from 3.5m to 3.75m), the turning radius of intersections is optimized, the model is regenerated, and the simulation is repeated until the traffic requirements are met. Finally, the optimized 3D model of the temporary road is exported in IFC format, and related data results such as bill of quantities and construction schedule are generated. Construction personnel use tablets equipped with BIM mobile applications to call up the model and perform AR overlay matching with the actual construction site, so as to achieve precise positioning of processes such as roadbed excavation and pavement pouring, and guide on-site construction.

[0037] Furthermore, in the data acquisition and fusion step, the methods for obtaining on-site geographic information data include using unmanned aerial vehicle (UAV) remote sensing measurements or using commercially available geographic data services that have been verified in the field.

[0038] It should be noted that in this embodiment, the on-site geographic information data acquisition in the data collection and fusion step adopts UAV remote sensing measurement. A DJI Phantom 4 RTK UAV is selected, with a flight altitude of 150m, a forward overlap rate of 80%, and a lateral overlap rate of 70%, to conduct full-coverage aerial photography of the construction area (approximately 200,000 square meters) to acquire high-definition image data and POS data. After the aerial photography is completed, the image data is subjected to aerial triangulation encryption, DOM creation, and DSM generation using Pix4Dmapper software to obtain high-precision terrain data. At the same time, to ensure data accuracy, three on-site control points (using total station measurements to obtain precise coordinates) are selected to verify the generated terrain data, with the verification error controlled within ±5cm. For the parts where the edge of the construction area connects with existing municipal roads, information such as road centerlines and intersections from Gaode Maps commercial geographic data services is supplemented and integrated into the on-site geographic information dataset after on-site verification.

[0039] Furthermore, the historical traffic flow data includes traffic volume, average speed, and traffic composition information covering multiple historical periods, obtained from the city's traffic data center.

[0040] It should be noted that in this embodiment, historical traffic flow data was obtained through an application to the open interface of the city's traffic data center. The data covers nearly three calendar years and includes traffic flow data for three major intersections (two signalized intersections and one unsignalized intersection) and two main roads surrounding the construction area. Specific data includes: 15-minute interval traffic flow (unit: pcu / h) during peak hours (7:00-9:00 and 17:00-19:00) and 30-minute interval traffic flow during off-peak hours (9:00-17:00 and 19:00-22:00); average driving speed for each time period (unit: km / h); and traffic composition information (the percentage of large construction vehicles, small private vehicles, and non-motorized vehicles, accurate to the nearest whole percentage). After acquiring the data, Python programming language was used to perform linear interpolation to complete missing data and to remove abnormal data (such as extreme values ​​exceeding the normal speed range), ultimately forming a standardized historical traffic flow database for subsequent traffic simulation analysis.

[0041] Furthermore, in the parametric road generation step, when the system automatically plans the path, it will intelligently identify and avoid environmental obstacles, and call the standard component library according to the preset road design specifications to complete the model construction.

[0042] It should be noted that in this embodiment, during the parametric road generation step, the system first calls the point cloud processing module to analyze the environmental obstacle data in the 3D basic scene. The RANSAC algorithm is used to identify the spatial location and boundary dimensions of obstacles such as building foundations, underground pipeline manhole covers, and the protected area of ​​ancient tree roots, marking them as path planning no-go zones. Subsequently, the system's built-in path planning algorithm generates multiple candidate paths between key control points, ranking them by weight based on indicators such as path length, number of obstacles to avoid, and terrain undulation (weight percentages are 40%, 30%, and 30%, respectively), and selecting the optimal path. Simultaneously, the system automatically matches the preset "Technical Specifications for Temporary Road Engineering," calling the built-in standard component library, which includes C30 concrete pavement components, M7.5 cement mortar slope components, and corrugated guardrail components. According to the spatial alignment parameters of the optimal path (curve radius not less than 15m, longitudinal slope not greater than 8%), the system automatically assembles and generates a 3D model of the temporary road. During model generation, the connection accuracy between components is checked in real time to ensure that the gap between the roadbed and pavement, and between the pavement and guardrail, does not exceed 2cm, guaranteeing the integrity and accuracy of the model.

[0043] Furthermore, the design scheme automatically generated by the system includes the spatial alignment, cross-sectional layout, estimated traffic capacity, and key engineering quantity information of the temporary road.

[0044] It should be noted that, in this embodiment, the design scheme automatically generated by the system specifically includes the following: Regarding spatial alignment, it specifies parameters such as the length of straight sections of the temporary road (each section not exceeding 200m), the radius of circular curves (minimum 15m), and the length of transition curves (not less than 10m), and marks the key points of the road centerline using a coordinate list; Regarding cross-sectional layout, it determines the number of lanes (two lanes in both directions), lane width (3.5m / lane), shoulder width (0.5m / side), and roadbed slope gradient (1:1.5), and marks the pavement structure... The thickness of the subbase (4cm asphalt surface layer + 18cm cement-stabilized crushed stone base layer + 20cm lime-soil cushion layer) was determined. Regarding estimated traffic capacity, based on historical traffic flow data and road parameters, the Webster delay formula was used to calculate a one-way traffic capacity of 1200 pcu / h and a two-way traffic capacity of 2200 pcu / h. For key engineering quantities, statistics showed approximately 8500 m³ of earthwork excavation, 1200 m³ of C30 concrete, and 1800 m of corrugated guardrail installation length, with a detailed bill of quantities generated.

[0045] Furthermore, in the dynamic simulation and scheme optimization steps, the dynamic simulation analysis focuses on evaluating the service level of temporary roads under specific traffic conditions and their impact on the overall road network.

[0046] It should be noted that the dynamic simulation analysis uses VISSIM 11.0 simulation software. After importing the 3D model of the integrated temporary road into the software, simulation parameters are set based on historical traffic flow data: peak hour traffic volume is input at 1200 pcu / h, off-peak hour at 600 pcu / h, vehicle composition ratio is set at 30% large construction vehicles, 65% small private vehicles, and 5% non-motorized vehicles, simulation time step is 0.1s, and simulation duration is 12 hours. During the simulation, the average driving speed, vehicle queue length, and delay time of each section of the temporary road are monitored to assess the level of service (using the level of service grading standard in the "Highway Engineering Technical Standard" JTG B01-2014). At the same time, the traffic flow changes at the junction of the temporary road and existing municipal roads are monitored to analyze the scope and degree of congestion impact of the temporary road on the surrounding road network. If the congestion index of the surrounding roads increases by more than 15% compared to when there is no temporary road, it is determined that the impact on the overall road network is too large and design optimization is required.

[0047] Furthermore, optimizing design parameters based on simulation results includes adjusting lane configurations, optimizing road intersection designs, or adding traffic management facilities.

[0048] It should be noted that in this embodiment, if the dynamic simulation results show that the queue length at the intersection of the temporary road and the existing municipal road exceeds 50m, and the service level drops to Level D, the design parameter optimization process will be initiated. First, the lane configuration will be adjusted, changing the intersection entrance lane from one straight lane to one straight lane + one dedicated left-turn lane, while maintaining the lane width at 3.5m. Second, the intersection design will be optimized, increasing the intersection corner radius from 10m to 15m to improve turning conditions for large construction vehicles. Finally, traffic management facilities will be added, including speed bumps (5m spacing, 3cm height) at the intersection entrance lane, and reflective signs and LED warning lights at the start of the temporary road and at the intersection to remind vehicles to slow down and give way. After optimization, dynamic simulation will be repeated until the intersection queue length is controlled within 30m, and the service level is improved to Level C or above.

[0049] Furthermore, in the construction guidance and information delivery steps, on-site construction guidance is achieved by using mobile computing devices to overlay and match the 3D model with the actual construction site to achieve precise positioning.

[0050] It should be noted that during the construction guidance and information delivery steps, a Huawei MatePad Pro tablet running Android 12 was used as the mobile computing device, with the BIMFACE mobile application installed. After arriving at the construction site with the tablet, construction personnel opened the application and accessed the final optimized temporary road 3D model. The device's built-in GPS module and camera were used for positioning and real-world data acquisition. The system automatically performed AR overlay matching between the 3D model and the actual site view, with matching accuracy controlled within ±3cm. During construction, when excavating the roadbed, the overlay model clearly displayed parameters such as excavation boundaries and depth. Construction personnel could use the tablet to view the deviation between the model and the actual excavation in real time and adjust the operating position of the excavation equipment accordingly. When pouring pavement, the overlay model marked the zoning range and thickness requirements of the pouring area, ensuring the accuracy of the pouring operation.

[0051] In this embodiment, the delivered data deliverables, in addition to the 3D model of the temporary road and the bill of quantities, also include a model-based traffic organization plan recommendation report. This report, written in Word format, mainly includes: traffic flow planning for the temporary road (clarifying the routes of construction vehicles and other vehicles, and setting up physical barriers to separate them), traffic control recommendations during construction periods (recommending that large construction vehicles be restricted from entering the connection section between the temporary road and the municipal road during peak hours of 7:00-9:00 AM and 5:00-7:00 PM daily), traffic signal timing optimization recommendations (proposing specific parameters such as signal cycle and green light ratio for intersections), and emergency traffic plans (clarifying the diversion routes and handling procedures in case of sudden congestion or traffic accidents). The report includes multiple screenshots of the 3D model and simulation analysis charts to visually demonstrate the rationality of the traffic organization plan.

[0052] Furthermore, the delivered data deliverables also include a model-based traffic organization scheme recommendation report.

[0053] This embodiment also provides a non-volatile computer-readable storage medium storing a computer program, which, when executed by a processor, can implement any of the BIM-based intelligent analysis and construction methods for temporary roads.

[0054] The BIM-based intelligent analysis and construction method and storage medium for temporary roads provided in this embodiment offer significant benefits. Its core value lies in achieving a qualitative leap in temporary road planning and construction through technological integration and process reengineering. Firstly, at the data level, this method achieves deep integration and efficient utilization of multi-source information, transforming the traditionally discrete and static data reliant on manual surveys into a systematic and dynamic data-driven decision-making process. This fundamentally avoids planning deviations and construction rework caused by inaccurate or outdated data, greatly improving the reliability and first-time success rate of the solution. During the model building and solution generation phase, the system's built-in intelligent algorithm automatically handles complex environmental constraints and engineering rules, quickly generating optimal temporary road solutions that conform to specifications and fit the actual site conditions. This process not only shortens the planning cycle from several days to several hours but also effectively controls material usage through precise parametric design, avoiding resource waste caused by traditional experience-based estimations, thus achieving cost reduction and efficiency improvement. The introduction of dynamic traffic flow analysis functionality allows for project evaluation to move beyond static geometric design. It enables proactive simulation of real-world traffic conditions after temporary roads are put into operation. Quantitative analysis of key indicators such as traffic efficiency and bottleneck risks provides a scientific basis for project optimization, ensuring that temporary roads are not only successfully built but also effectively utilized, significantly improving the effectiveness and safety of traffic management. Ultimately, by directly applying the optimized BIM model to the construction site for visual guidance, a precise and efficient transformation from digital virtuality to physical entity is achieved. Construction personnel can intuitively understand the design intent and accurately execute construction tasks, significantly reducing on-site coordination and downtime, and improving overall construction quality and efficiency. In summary, this invention, through intelligent and integrated processing throughout the entire process, produces synergistic and amplified positive effects in terms of planning scientificity, economy, construction efficiency, and final result quality, providing strong technical support for traffic management projects in complex urban environments.

[0055] This application embodiment also provides a storage medium containing computer-executable instructions. When executed by a computer processor, the computer-executable instructions are used to execute a BIM-based intelligent analysis and construction method for temporary roads. This BIM-based intelligent analysis and construction method for temporary roads includes: acquiring on-site geographic information data, historical traffic flow data, and environmental obstacle information of the construction area, and performing standardized processing; importing the processed data into a building information modeling platform to automatically generate a three-dimensional basic scene integrating terrain, existing road network, and obstacles; specifying key control points of temporary roads in the aforementioned three-dimensional scene, and having the system automatically plan paths and generate parameterized three-dimensional models of temporary roads based on built-in intelligent algorithms; performing dynamic simulation analysis of the traffic network after integrating temporary roads based on historical traffic flow data, and optimizing the design parameters of temporary roads based on simulation results, while simultaneously performing conflict detection; and outputting the final optimized three-dimensional model and related data results to guide on-site construction.

[0056] Storage medium—any type of memory device or storage device. The term "storage medium" is intended to include: mounting media, such as CD-ROM, floppy disk, or magnetic tape devices; computer system memory or random access memory, such as DRAM, DDR RAM, SRAM, EDO RAM, etc.; non-volatile memory, such as flash memory, magnetic media (e.g., hard disk or optical storage); registers or other similar types of memory elements, etc. Storage medium may also include other types of memory or combinations thereof. Furthermore, storage medium may reside in a first computer system in which a program is executed, or it may reside in a different second computer system connected to the first computer system via a network (such as the Internet). The second computer system can provide program instructions to the first computer for execution. The term "storage medium" may include two or more storage media residing in different locations (e.g., in different computer systems connected via a network). Storage medium may store program instructions (e.g., specifically implemented as a computer program) executable by one or more processors.

[0057] Of course, the computer-executable instructions provided in the embodiments of this application are not limited to the above-mentioned intelligent analysis and construction method for temporary roads based on BIM technology, but can also execute related operations in the intelligent analysis and construction method for temporary roads based on BIM technology provided in any embodiment of this application.

[0058] The hook-shaped echo recognition device, storage medium, and hook-shaped echo recognition equipment provided in the above embodiments can execute the intelligent analysis and construction method for temporary roads based on BIM technology provided in any embodiment of this application. For technical details not described in detail in the above embodiments, please refer to the intelligent analysis and construction method for temporary roads based on BIM technology provided in any embodiment of this application.

[0059] The above description is merely a preferred embodiment and the technical principles employed in this application. This application is not limited to the specific embodiments described herein, and various obvious changes, readjustments, and substitutions that can be made by those skilled in the art will not depart from the scope of protection of this application. Therefore, although this application has been described in detail through the above embodiments, this application is not limited to the above embodiments, and may include many other equivalent embodiments without departing from the concept of this application. The scope of this application is determined by the scope of the claims.

Claims

1. A method for intelligent analysis and construction of temporary roads based on BIM technology, characterized in that, Includes the following steps: Acquire on-site geographic information data, historical traffic flow data, and environmental obstacle information of the construction area, and perform standardized processing; The processed data is imported into the building information modeling platform to automatically generate a three-dimensional basic scene that integrates terrain, existing road network and obstacles. In the aforementioned 3D scene, key control points for temporary roads are specified, and a parameterized 3D model of the temporary roads is automatically planned based on the built-in intelligent algorithm. The traffic network after integrating temporary roads is dynamically simulated and analyzed by combining historical traffic flow data. The design parameters of the temporary roads are optimized based on the simulation results, and conflict detection is performed. The optimized 3D model will be visualized and output, and this optimized 3D model will be used to guide on-site construction.

2. The intelligent analysis and construction method for temporary roads based on BIM technology according to claim 1, characterized in that, In the data acquisition and fusion step, the methods for obtaining on-site geographic information data include using UAV remote sensing measurement.

3. The intelligent analysis and construction method for temporary roads based on BIM technology according to claim 1, characterized in that, The historical traffic flow data includes traffic volume, average speed, and traffic composition information covering multiple historical periods, obtained from the city's traffic data center.

4. The intelligent analysis and construction method for temporary roads based on BIM technology according to claim 1, characterized in that, In the parametric road generation step, when the system automatically plans the path, it will intelligently identify and avoid environmental obstacles, and call the standard component library according to the preset road design specifications to complete the model construction.

5. The intelligent analysis and construction method for temporary roads based on BIM technology according to claim 4, characterized in that, The design scheme automatically generated by the system includes the spatial alignment, cross-sectional layout, estimated traffic capacity, and key engineering quantity information of the temporary road.

6. The intelligent analysis and construction method for temporary roads based on BIM technology according to claim 1, characterized in that, In the dynamic simulation and scheme optimization steps, the dynamic simulation analysis focuses on evaluating the service level of temporary roads under specific traffic conditions and their impact on the overall road network.

7. The intelligent analysis and construction method for temporary roads based on BIM technology according to claim 6, characterized in that, Optimizing design parameters based on simulation results includes adjusting lane configurations, optimizing road intersection designs, or adding traffic management facilities.

8. The intelligent analysis and construction method for temporary roads based on BIM technology according to claim 1, characterized in that, In the construction guidance and information delivery steps, on-site construction guidance is achieved by using mobile computing devices to overlay and match the 3D model with the actual construction site to achieve precise positioning.

9. The intelligent analysis and construction method for temporary roads based on BIM technology according to claim 1, characterized in that, The delivered data deliverables also include model-based traffic organization scheme recommendation reports.

10. A non-volatile computer-readable storage medium storing a computer program, characterized in that, When executed by a processor, the computer program can implement the intelligent analysis and construction method for temporary roads based on BIM technology as described in any one of claims 1 to 9.

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