A BIM data acquisition method and system for highway engineering
By integrating geological conditions, construction conditions and traffic flow control into the BIM model in highway projects, the problem of difficulty in realizing information sharing and collaborative management in existing technologies has been solved, and the data collection efficiency and information content have been significantly improved, and the digital transformation of highway projects has been promoted.
Patent Information
- Application Number
- CN202510158263.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-13
- Publication Date
- 2025-06-13
- Estimated Expiration
- 2045-02-13
AI Technical Summary
The prior art is difficult to integrate geological conditions, construction conditions and traffic flow control into the BIM model, it is difficult to realize information sharing and collaborative management, and it is difficult to improve the information content of the BIM model and the convenience of project personnel management.
By importing the initial BIM model, terrain data is extracted and terrain parameters are calculated, the location and number of exploration points are analyzed, geological information is collected and data cleaning is carried out, geological feature data is integrated into the BIM model, construction material information is obtained and mapped into the BIM model, construction material inventory is monitored in real time, and traffic flow simulation is carried out to generate the final BIM model.
It significantly improves the efficiency and accuracy of BIM data acquisition in highway engineering, realizes efficient information integration and collaborative management, ensures sufficient construction materials, supports traffic flow simulation, provides a scientific basis for traffic planning, promotes the digital transformation of highway engineering, and improves the overall level of design, construction and operation management.
Smart Images

Figure CN119648114B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of BIM data collection, and particularly to a BIM data collection method and system for highway engineering. Background Art
[0002] With the rapid development of highway engineering, the project scale has been continuously expanding and the complexity has been increasing day by day. Traditional engineering management and design methods have been difficult to meet the requirements of high efficiency and accuracy. As an advanced digital technology, Building Information Modeling (BIM) has been widely used in the fields of architecture and infrastructure. BIM technology realizes information sharing and collaborative management by integrating various types of information in the whole life cycle of a project, including data in the design, construction, operation and other stages, and significantly improves the efficiency and quality of engineering projects.
[0003] Currently, the Chinese invention patent with the application number CN202311597573.2 discloses a building construction data collection method based on a BIM model. The method includes: obtaining a target building image corresponding to a target building construction site, and screening out a target illumination area from the target building image; screening out the pixel points with the maximum and minimum gray values from a preset neighborhood corresponding to the illumination pixel points; performing illumination direction analysis and processing on the illumination pixel points; determining an illumination center point according to the intersection points between the illumination direction lines; enhancing the target building image according to the distance between the pixel points in the target building image and the illumination center point, and the proportion of the gray value corresponding to the pixel points in the target building image, to obtain a target enhanced image, and enhancing a pre-constructed initial BIM model.
[0004] The above technology is difficult to integrate geological conditions, construction conditions and traffic flow control into the BIM model, difficult to achieve information sharing and collaborative management, and difficult to improve the information content of the BIM model and the convenience of project personnel management. Summary of the Invention
[0005] The technical problem solved by the present invention is that the above technology is difficult to integrate geological conditions, construction conditions and traffic flow control into the BIM model, difficult to achieve information sharing and collaborative management, and difficult to improve the information content of the BIM model and the convenience of project personnel management.
[0006] To solve the above technical problem, the present invention provides the following technical solutions:
[0007] A BIM data collection method for highway engineering includes the following steps:
[0008] Step S1: Import the initial BIM model, extract the terrain data of the initial BIM model, calculate the terrain undulation degree, terrain roughness, surface cutting depth, and elevation coefficient of variation based on the terrain data, analyze the layout position information and the number of exploration points according to the terrain undulation degree, terrain roughness, surface cutting depth, and elevation coefficient of variation, establish the first correspondence relationship between the layout position information of the exploration points, the number of exploration points, and the corresponding model coordinate data, and input the first correspondence relationship into the exploration point control terminal;
[0009] Step S2: The exploration point control terminal collects geological information according to the first correspondence relationship, outputs it as geological information data, cleans the geological information data, extracts the characteristics of the geological information data, outputs it as geological feature data, establishes the second correspondence relationship between the geological feature data and the model coordinate data, and maps the geological feature data in the second correspondence relationship to the initial BIM model according to the model coordinate data, and outputs it as the second BIM model;
[0010] Step S3: Input the geological feature data into the preset construction plan model, obtain the construction material information data corresponding to the geological feature data, establish the third correspondence relationship between the construction material information data and the model coordinate data, and map the construction material information data in the third correspondence relationship to the second BIM model according to the model coordinate data, and output it as the third BIM model;
[0011] Step S4: Real-time obtain the construction material quantity data corresponding to the construction material information data, establish a construction material inventory warning model, and output a construction material replenishment reminder signal;
[0012] Step S5: Extract the road information data in the third BIM model, obtain the traffic flow data, analyze the traffic flow data, and map the analysis result to the third BIM model, and output it as the final BIM model.
[0013] Preferably, the step S1 includes the following sub-steps:
[0014] Step S101: Import the initial BIM model, extract the terrain data of the initial BIM model, where the terrain data includes elevation data, slope data, aspect data, and the corresponding model coordinate data;
[0015] Step S102: Input the elevation data, slope data, aspect data, and the corresponding model coordinate data into ArcGISZ to obtain the terrain undulation degree, terrain roughness, surface cutting depth, and elevation coefficient of variation.
[0016] Preferably, the step S1 further includes the following sub-steps:
[0017] Step S103: Analyze the exploration point layout location information and the number of exploration points according to the terrain undulation degree, terrain roughness, surface cutting depth, and elevation coefficient of variation. The logic for analyzing the exploration point layout location information and the number of exploration points based on the terrain undulation degree, terrain roughness, surface cutting depth, and elevation coefficient of variation is as follows:
[0018] If the terrain undulation degree is greater than 100 meters or the elevation coefficient of variation is greater than 0.3, it is determined that the exploration point spacing does not exceed 100 meters;
[0019] If the terrain undulation degree is between 50 meters and 100 meters or the elevation coefficient of variation is between 0.15 and 0.3, it is determined that the exploration point spacing is between 100 meters and 200 meters;
[0020] If the terrain undulation degree is less than 50 meters or the elevation coefficient of variation is less than 0.15, it is determined that the exploration point spacing is between 200 meters and 400 meters;
[0021] The number of exploration points is based on a preset roughness level and a preset surface cutting depth level, and one unit number of exploration points is incrementally added to the preset basic number of exploration points;
[0022] The output is the exploration point layout location information and the number of exploration points;
[0023] Step S104: Establish a first correspondence relationship between the exploration point layout location information, the number of exploration points information, and the corresponding model coordinate data, and input the first correspondence relationship into the exploration point control terminal.
[0024] Preferably, the step S2 includes the following sub-steps:
[0025] Step S201: The exploration point control terminal collects geological information according to the first correspondence relationship, and the output is geological information data;
[0026] Step S202: Clean the geological information data. The cleaning includes regular expression matching and string replacement, extract the characteristics of the geological information data, and the output is geological feature data. The characteristics in the geological feature data include geological structure characteristics, petrological characteristics, stratigraphic characteristics, geochemical characteristics, and geophysical characteristics;
[0027] Step S203: Establish a second correspondence relationship between the geological feature data and the model coordinate data, and map the geological feature data in the second correspondence relationship to the initial BIM model according to the model coordinate data, and the output is the second BIM model.
[0028] Preferably, the step S3 includes the following sub-steps:
[0029] Step S301: Input the geological feature data and construction type into a preset construction plan model to obtain construction material information data corresponding to the geological feature data and construction type. The construction material information data includes material name and specification model.
[0030] Step S302: Establish a third correspondence relationship between the construction material information data and the model coordinate data, and map the construction material information data in the third correspondence relationship to the second BIM model according to the model coordinate data, and output it as the third BIM model.
[0031] Preferably, step S4 includes the following sub-steps:
[0032] Step S401: Obtain the construction material quantity data corresponding to the construction material information data in real time, and map the construction material quantity data to the third BIM model.
[0033] Step S402: Establish a construction material inventory warning model and output a construction material replenishment reminder signal.
[0034] Preferably, the logic of the construction material inventory warning model is as follows:
[0035] Establish a data connection with the construction material supplier side to obtain the construction material information data. The construction material information data includes material name, specification model, material quantity and inventory status.
[0036] Set the inventory threshold corresponding to the material name and specification model. The inventory threshold includes the minimum inventory and the safety inventory. Calculate the average consumption speed corresponding to the material name and specification model. Output a construction material replenishment reminder signal according to the construction material quantity data, average consumption speed and inventory threshold. The construction material replenishment reminder signal includes the replenishment material name, replenishment specification model, replenishment quantity and the corresponding model coordinate data.
[0037] Preferably, step S5 includes the following sub-steps:
[0038] Step S501: Extract the road information data and construction type in the third BIM model, obtain the traffic flow data, input the construction type, road information data and traffic flow data into the vehicle module software for traffic flow simulation, and obtain the traffic congestion situation information data.
[0039] Step S502: Establish a fourth correspondence relationship between the traffic congestion situation information data and the model coordinate data, and map the traffic congestion situation information data in the fourth correspondence relationship to the third BIM model according to the model coordinate data, and output it as the final BIM model.
[0040] Preferably, the construction type is used to determine whether it is suitable for traffic. If the construction type belongs to the preset construction type suitable for traffic, traffic flow simulation is carried out. If the construction type belongs to the preset construction type not suitable for traffic, traffic flow simulation is not carried out and it is marked as prohibited from traffic.
[0041] A BIM data acquisition system for highway engineering, which is applied to the BIM data acquisition method for highway engineering described above, includes an exploration point setting module, a geological information acquisition module, a construction situation acquisition module, a construction material warning module, and a traffic flow analysis module;
[0042] The exploration point setting module is used to import the initial BIM model, extract the terrain data of the initial BIM model, calculate the terrain undulation degree, terrain roughness, surface cutting depth, and elevation variation coefficient according to the terrain data, analyze the exploration point layout position information and exploration point quantity information according to the terrain undulation degree, terrain roughness, surface cutting depth, and elevation variation coefficient, establish the first correspondence relationship between the exploration point layout position information, exploration point quantity information, and the corresponding model coordinate data, and input the first correspondence relationship to the exploration point control terminal;
[0043] The geological information acquisition module is used for the exploration point control terminal to collect geological information according to the first correspondence relationship, output it as geological information data, perform data cleaning on the geological information data, extract the characteristics of the geological information data, output it as geological feature data, establish the second correspondence relationship between the geological feature data and the model coordinate data, and map the geological feature data in the second correspondence relationship to the initial BIM model according to the model coordinate data, and output it as the second BIM model;
[0044] The construction situation acquisition module is used to input the geological feature data into the preset construction plan model, obtain the construction material information data corresponding to the geological feature data, establish the third correspondence relationship between the construction material information data and the model coordinate data, and map the construction material information data in the third correspondence relationship to the second BIM model according to the model coordinate data, and output it as the third BIM model;
[0045] The construction material warning module is used to obtain the construction material quantity data corresponding to the construction material information data in real time, establish a construction material inventory warning model, and output a construction material replenishment reminder signal;
[0046] The traffic flow analysis module is used to extract the road information data in the third BIM model, obtain the traffic flow data, analyze the traffic flow data, and map the analysis result to the third BIM model, and output it as the final BIM model.
[0047] Advantages of the present invention: The present invention significantly improves the efficiency and accuracy of BIM data collection for highway engineering. By means of intelligent analysis, the layout of exploration points is optimized, enabling efficient integration and collaborative management of information. Meanwhile, intelligent construction material management ensures an adequate supply of materials and avoids delays. In addition, it supports traffic flow simulation, providing a scientific basis for traffic planning, promoting the digital transformation of highway engineering, improving the overall levels of design, construction, and operation management, and having significant social and economic benefits. BRIEF DESCRIPTION OF THE DRAWINGS
[0048] Figure 1 It is a flowchart of the steps of a BIM data collection method for highway engineering provided by an embodiment of the present invention;
[0049] Figure 2 It is a schematic diagram of the basic process of a BIM data collection system for highway engineering provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS
[0050] In order to make the above objects, features, and advantages of the present invention more obvious and understandable, the following provides a detailed description of the specific embodiments of the present invention in conjunction with the accompanying drawings of the specification. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention.
[0051] Embodiment 1, referring to Figure 1 , a BIM data collection method for highway engineering is provided, including the following steps:
[0052] Step S1, import the initial BIM model, extract the terrain data of the initial BIM model, calculate the terrain undulation degree, terrain roughness, surface cutting depth, and elevation variation coefficient according to the terrain data, analyze the exploration point layout position information and exploration point quantity information according to the terrain undulation degree, terrain roughness, surface cutting depth, and elevation variation coefficient, establish a first correspondence relationship between the exploration point layout position information, exploration point quantity information, and the corresponding model coordinate data, and input the first correspondence relationship into the exploration point control terminal.
[0053] Step S2, the exploration point control terminal collects geological information according to the first correspondence relationship, outputs it as geological information data, cleans the geological information data, extracts the characteristics of the geological information data, outputs it as geological feature data, establishes a second correspondence relationship between the geological feature data and the model coordinate data, and maps the geological feature data in the second correspondence relationship to the initial BIM model according to the model coordinate data, and outputs it as the second BIM model.
[0054] Step S3: Input the geological feature data into the preset construction plan model, obtain the construction material information data corresponding to the geological feature data, establish the third correspondence relationship between the construction material information data and the model coordinate data, and map the construction material information data in the third correspondence relationship to the second BIM model according to the model coordinate data, and output it as the third BIM model.
[0055] Step S4: Real-time obtain the construction material quantity data corresponding to the construction material information data, establish a construction material inventory warning model, and output a construction material replenishment reminder signal.
[0056] Step S5: Extract the road information data in the third BIM model, obtain the traffic flow data, analyze the traffic flow data, and map the analysis result to the third BIM model, and output it as the final BIM model.
[0057] Step S1 includes the following sub-steps:
[0058] Step S101: Import the initial BIM model and extract the terrain data of the initial BIM model. The terrain data includes elevation data, slope data, aspect data, and corresponding model coordinate data.
[0059] In step S101, the initial BIM model is imported, and the terrain data, including elevation data, slope data, aspect data, and corresponding model coordinate data, is successfully extracted. These terrain data are the basis for subsequent analysis and provide necessary information for subsequent steps.
[0060] Step S102: Input the elevation data, slope data, aspect data, and corresponding model coordinate data into ArcGISZ to obtain the terrain undulation degree, terrain roughness, surface cutting depth, and elevation coefficient of variation.
[0061] In step S102, the extracted terrain data is input into ArcGISZ, and the key terrain parameters such as terrain undulation degree, terrain roughness, surface cutting depth, and elevation coefficient of variation are successfully obtained. These parameters are important bases for analyzing the layout position and quantity of exploration points.
[0062] Step S1 also includes the following sub-steps:
[0063] Step S103: Analyze the layout position information and quantity information of exploration points according to the terrain undulation degree, terrain roughness, surface cutting depth, and elevation coefficient of variation. The logic for analyzing the layout position information and quantity information of exploration points according to the terrain undulation degree, terrain roughness, surface cutting depth, and elevation coefficient of variation is as follows:
[0064] If the terrain undulation degree is greater than 100 meters or the elevation coefficient of variation is greater than 0.3, it is determined that the spacing between exploration points does not exceed 100 meters.
[0065] If the terrain undulation is between 50 meters and 100 meters or the elevation coefficient of variation is between 0.15 and 0.3, it is determined that the spacing between exploration points is between 100 meters and 200 meters.
[0066] If the terrain undulation is less than 50 meters or the elevation coefficient of variation is less than 0.15, it is determined that the spacing between exploration points is between 200 meters and 400 meters.
[0067] The number of exploration points is based on a preset roughness level and a preset surface cutting depth level, and one unit number of exploration points is incremented step by step on the basis of the preset basic number of exploration points.
[0068] The output is the layout position information of the exploration points and the number information of the exploration points.
[0069] Step S103 reasonably analyzes and determines the layout position information of the exploration points and the number information of the exploration points according to the terrain undulation, terrain roughness, surface cutting depth and elevation coefficient of variation, considers the influence of terrain features on the layout of exploration points, ensures that the layout of exploration points can fully reflect the terrain features, and provides accurate basic data for subsequent geological exploration work.
[0070] In step S104, a first correspondence is established between the layout position information of the exploration points, the number information of the exploration points and the corresponding model coordinate data, and the first correspondence is input into the exploration point control terminal.
[0071] In step S104, a first correspondence is established between the layout position information of the exploration points, the number information of the exploration points and the corresponding model coordinate data, and this correspondence is input into the exploration point control terminal. This step facilitates the subsequent geological exploration work, enables the exploration work to be carried out according to the predetermined positions and quantities, and improves the efficiency and accuracy of the exploration work.
[0072] Step S1 aims to determine the reasonable layout position information of the exploration points and the number information of the exploration points through a series of sub-steps, using the terrain data of the initial BIM model and the analysis function of ArcGISZ software. This process combines multiple terrain parameters to ensure that the layout of the exploration points can fully reflect the terrain features and provide accurate basic data for subsequent geological exploration work. Finally, step S1 inputs the output layout position information of the exploration points, the number information of the exploration points, and the corresponding model coordinate data into the exploration point control terminal through the first correspondence, facilitating the subsequent geological exploration work.
[0073] Step S2 includes the following sub-steps:
[0074] In step S201, the exploration point control terminal collects geological information according to the first correspondence, and the output is geological information data.
[0075] Step S201 is to collect geological information by the exploration point control terminal according to a preset first correspondence. The effect of this sub-step is to obtain accurate and comprehensive geological information data, providing a basis for subsequent data processing and analysis. Through the first correspondence, it can be ensured that the collected geological information matches parameters such as the geographical location and depth of the exploration point, providing an accurate data source for subsequent geological feature extraction and model mapping.
[0076] In step S202, data cleaning is performed on the geological information data. The cleaning includes regular expression matching and string replacement, extracting the features of the geological information data and outputting them as geological feature data. The features in the geological feature data include geological structure features, petrological features, stratigraphic features, geochemical features, and geophysical features.
[0077] Step S202 performs data cleaning and feature extraction on the geological information data. Data cleaning includes operations such as regular expression matching and string replacement, aiming to remove noise and redundant information in the data, improving the accuracy and readability of the data. Feature extraction extracts key geological features from the geological information data, such as geological structure features, petrological features, stratigraphic features, geochemical features, and geophysical features, etc. The effect of this sub-step is to generate geological feature data with clear geological features, providing strong support for subsequent geological feature mapping.
[0078] In step S203, a second correspondence is established between the geological feature data and the model coordinate data, and the geological feature data in the second correspondence is mapped into the initial BIM model according to the model coordinate data, and the output is the second BIM model.
[0079] Step S203 establishes a second correspondence between the geological feature data and the model coordinate data, and maps the geological feature data into the initial BIM model according to the model coordinate data. The effect of this sub-step is to combine the geological information with the BIM model, generating a second BIM model containing geological information. Through the second correspondence, the accurate position of the geological feature data in the BIM model can be ensured, enabling building designers and constructors to intuitively understand the geological conditions, so as to take corresponding measures to address potential geological risks during the design and construction processes.
[0080] Step S2 aims to convert the geological information data obtained from the exploration points into geological feature data that can be used to construct a BIM model and map it into the initial BIM model, thereby generating a second BIM model containing geological information. This step is crucial for considering geological factors in the building design and construction processes, helping to improve the safety and efficiency of the project.
[0081] Step S3 includes the following sub-steps:
[0082] Step S301: Input the geological feature data and the construction type into a preset construction plan model to obtain construction material information data corresponding to the geological feature data and the construction type. The construction material information data includes the material name and the specification model.
[0083] In step S301, the geological feature data and the construction type are used as inputs and processed through a preset construction plan model. Based on a large amount of engineering practice data and professional knowledge, the construction plan model can intelligently recommend suitable construction materials according to the geological features and the construction type. The effect of this sub-step is to obtain construction material information data closely related to the geological feature data and the construction type, including the material name and the specification model. These data provide an important basis for the subsequent selection and procurement of construction materials.
[0084] Step S302: Establish a third correspondence relationship between the construction material information data and the model coordinate data, and map the construction material information data in the third correspondence relationship to the second BIM model according to the model coordinate data, and output it as the third BIM model.
[0085] In step S302, a third correspondence relationship between the construction material information data and the model coordinate data is established, and the construction material information data is mapped to the second BIM model according to the model coordinate data. Through this sub-step, the construction material information is accurately associated with the corresponding positions of the BIM model, enabling construction personnel to intuitively understand the types and specifications of materials required for each construction part. This not only helps with material management and allocation during the construction process but also improves construction efficiency and quality. Finally, the third BIM model containing detailed construction material information is output, providing strong support for various tasks during the construction phase.
[0086] Step S3 aims to comprehensively consider the geological feature data and the construction type, determine suitable construction material information data through a preset construction plan model, and combine it with the BIM model to generate a third BIM model containing construction material information. This step is of great significance for optimizing the construction plan, improving construction efficiency, and ensuring project quality.
[0087] Step S4 includes the following sub-steps:
[0088] Step S401: Real-time obtain the construction material quantity data corresponding to the construction material information data, and map the construction material quantity data to the third BIM model.
[0089] Step S401 obtains the construction material quantity data corresponding to the construction material information data in real time and maps this data into the third BIM model. The effect of this sub-step is to ensure that the construction material quantity data in the BIM model is consistent with the actual construction site, enabling construction personnel and management personnel to understand the material consumption and remaining quantity in real time. This helps to optimize the use and allocation of materials and reduce waste and shortages.
[0090] Step S402 establishes a construction material inventory warning model and outputs a construction material replenishment reminder signal.
[0091] The logic of the construction material inventory warning model is as follows:
[0092] Establish a data connection with the construction material supplier side to obtain the construction material information data, where the construction material information data includes material name, specification model, material quantity, and inventory status.
[0093] Set the inventory thresholds corresponding to the material name and specification model, where the inventory thresholds include the minimum inventory quantity and the safety inventory quantity. Calculate the average consumption speed corresponding to the material name and specification model, and output a construction material replenishment reminder signal based on the construction material quantity data, average consumption speed, and inventory thresholds. The construction material replenishment reminder signal includes the replenishment material name, replenishment specification model, replenishment quantity, and corresponding model coordinate data.
[0094] Step S402 establishes a construction material inventory warning model and outputs a construction material replenishment reminder signal. The effect of this sub-step is to achieve real-time monitoring and warning of the construction material inventory through an intelligent inventory management system. The model establishes a data connection with the construction material supplier side to obtain detailed construction material information data, including material name, specification model, material quantity, and inventory status, etc. At the same time, the model sets the inventory thresholds corresponding to the material name and specification model, including the minimum inventory quantity and the safety inventory quantity, and calculates the average consumption speed based on historical data. When the actual inventory quantity is lower than the set inventory threshold, the model will automatically output a construction material replenishment reminder signal, including the replenishment material name, replenishment specification model, replenishment quantity, and corresponding model coordinate data, etc. This helps construction personnel and management personnel to take timely measures for replenishment to ensure the sufficient supply of construction materials.
[0095] Step S5 includes the following sub-steps:
[0096] Step S501 extracts the road information data and construction type in the third BIM model, obtains the traffic flow data, inputs the construction type, road information data, and traffic flow data into the vehicle module software for traffic flow simulation, and obtains the traffic congestion situation information data.
[0097] In step S501, first, the road information data and construction type in the third BIM model are extracted. These are the basis for traffic flow simulation. Next, the actual traffic flow data is obtained, which reflects the traffic conditions of the road under normal circumstances. Then, this data is input into the vehicle module software for traffic flow simulation. During the simulation, it is determined whether it is suitable for traffic based on the construction type: if the construction type belongs to the preset construction types suitable for traffic, the simulation continues to predict possible traffic congestion during construction; if the construction type belongs to the preset construction types not suitable for traffic, it is directly marked as prohibited from traffic and no simulation is performed. The effect of this step is to generate accurate traffic congestion information data, providing a scientific basis for subsequent construction traffic management.
[0098] In step S502, a fourth correspondence relationship is established between the traffic congestion information data and the model coordinate data. According to the model coordinate data, the traffic congestion information data in the fourth correspondence relationship is mapped into the third BIM model, and the output is the final BIM model.
[0099] The construction type is used to determine whether it is suitable for traffic. If the construction type belongs to the preset construction types suitable for traffic, traffic flow simulation is carried out. If the construction type belongs to the preset construction types not suitable for traffic, traffic flow simulation is not carried out and it is marked as prohibited from traffic.
[0100] In step S502, a fourth correspondence relationship is established between the traffic congestion information data and the model coordinate data. This is a key step in mapping traffic information into the BIM model. Through this correspondence relationship, the traffic congestion information data can be accurately located at the corresponding position in the BIM model. Then, according to the model coordinate data, the traffic congestion information data is mapped into the third BIM model to form the final BIM model containing traffic information. The effect of this sub-step is that the BIM model not only contains the information of the building but also the traffic information during construction, providing intuitive and comprehensive visual support for traffic management during construction.
[0101] Step S5 aims to predict and evaluate possible traffic congestion during construction by comprehensively considering the road information data, construction type, and actual traffic flow data in the third BIM model. This step is of great significance for formulating effective traffic management plans, reducing the impact of construction on surrounding traffic, and improving traffic efficiency during construction. Finally, the traffic congestion information data is mapped into the BIM model to form the final BIM model containing traffic information, providing intuitive and comprehensive visual support for traffic management during construction.
[0102] Through automated and intelligent means, this method realizes the rapid collection and processing of information such as terrain, geology, and construction materials, significantly improving the efficiency of data collection. At the same time, by using professional software such as ArcGIS for analysis and calculation, the accuracy and reliability of the data are further improved. According to parameters such as terrain relief, terrain roughness, surface cutting depth, and elevation coefficient of variation, this method can intelligently analyze the layout position and quantity of exploration points, ensuring the pertinence and effectiveness of exploration work. This not only reduces the blindness and repetition of exploration work but also lowers the exploration cost. This method integrates various types of information collected into the BIM model, realizing information sharing and collaborative management, which helps all parties involved in the project better understand the project situation and improve the scientificity and accuracy of decision-making. At the same time, the visualization function of the BIM model also makes project management and communication more intuitive and convenient. By establishing an early warning model for construction material inventory, this method can monitor the quantity and status of construction materials in real time, send out replenishment reminder signals in a timely manner, and ensure the sufficient supply of construction materials. This not only avoids construction delays and cost increases caused by shortages of construction materials but also improves the utilization rate and management level of construction materials. This method can extract road information data from the BIM model and conduct traffic flow simulation in combination with construction type and traffic flow data, providing a scientific basis for traffic planning and operation management of highway projects. This helps optimize traffic flow lines, alleviate traffic congestion, and improve road traffic capacity.
[0103] Example 2, referring to Figure 2 , provides a BIM data collection system for highway engineering, including an exploration point setting module, a geological information acquisition module, a construction situation acquisition module, a construction material early warning module, and a traffic flow analysis module.
[0104] The exploration point setting module is used to import the initial BIM model, extract the terrain data of the initial BIM model, calculate the terrain relief, terrain roughness, surface cutting depth, and elevation coefficient of variation based on the terrain data, analyze the exploration point layout position information and exploration point quantity information according to the terrain relief, terrain roughness, surface cutting depth, and elevation coefficient of variation, establish the first correspondence relationship between the exploration point layout position information, exploration point quantity information, and the corresponding model coordinate data, and input the first correspondence relationship into the exploration point control terminal.
[0105] The geological information acquisition module is used for the exploration point control terminal to collect geological information according to the first correspondence relationship, output it as geological information data, clean the geological information data, extract the characteristics of the geological information data, output it as geological feature data, establish the second correspondence relationship between the geological feature data and the model coordinate data, and map the geological feature data in the second correspondence relationship to the initial BIM model according to the model coordinate data, and output it as the second BIM model.
[0106] The construction situation acquisition module is used to input geological feature data into a preset construction plan model, obtain construction material information data corresponding to the geological feature data, establish a third correspondence relationship between the construction material information data and model coordinate data, map the construction material information data in the third correspondence relationship to the second BIM model according to the model coordinate data, and output it as the third BIM model.
[0107] The construction material warning module is used to obtain the construction material quantity data corresponding to the construction material information data in real time, establish a construction material inventory warning model, and output a construction material replenishment reminder signal.
[0108] The traffic flow analysis module is used to extract road information data from the third BIM model, obtain traffic flow data, analyze the traffic flow data, map the analysis results to the third BIM model, and output it as the final BIM model.
[0109] Through automated and intelligent means, this system can quickly collect information such as terrain, geology, and construction materials, significantly improving the data collection efficiency. It uses professional software such as ArcGIS for terrain analysis to ensure the accuracy and reliability of the data, laying a solid foundation for subsequent work. According to parameters such as terrain undulation, roughness, surface cutting depth, and elevation variation coefficient, it can intelligently analyze and determine the layout position and quantity of exploration points, reducing the blindness and repetition of exploration work, optimizing the exploration plan, reducing exploration costs, and ensuring the accuracy and comprehensiveness of exploration results. Integrating various types of collected information into the BIM model can achieve information sharing and collaborative management, improving the communication efficiency and decision-making accuracy of all parties involved in the project. The visualization function of the BIM model makes project management and communication more intuitive and convenient, helping to improve the overall project management level. Establishing a construction material inventory warning model can monitor the quantity and status of construction materials in real time, send out replenishment reminder signals in a timely manner, ensure the sufficient supply of construction materials, improve the utilization rate and management level of construction materials, and avoid construction delays and cost increases caused by material shortages. Extracting road information data from the BIM model and combining it with construction types and traffic flow data for traffic flow simulation can provide a scientific basis for traffic planning and operation management of highway projects, optimize traffic flow lines, relieve traffic congestion, and improve road traffic capacity and traffic safety.
[0110] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media that contain computer-usable program code. Among them, the storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, a magnetic disk, or an optical disc. These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured article including an instruction device, and the instruction device implements the functions specified in one process Figure 1 one process or multiple processes and / or boxes Figure 1 the functions specified in one box or multiple boxes.
[0111] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention, and they should all be covered by the scope of the claims of the present invention.
Claims
1. A BIM data collection method for highway engineering, characterized in that: The steps include: Step S1, importing the initial BIM model, extracting the terrain data of the initial BIM model, calculating the terrain relief, terrain roughness, surface cutting depth and elevation variation coefficient according to the terrain data, analyzing the exploration point layout position information and the exploration point quantity information according to the terrain relief, terrain roughness, surface cutting depth and elevation variation coefficient, establishing a first correspondence between the exploration point layout position information, the exploration point quantity information and the corresponding model coordinate data, and inputting the first correspondence to the exploration point control terminal; Step S2, the exploration point control terminal collects geological information according to the first corresponding relationship, outputs it as geological information data, cleans the geological information data, extracts features of the geological information data, outputs it as geological feature data, establishes a second corresponding relationship between the geological feature data and the model coordinate data, maps the geological feature data in the second corresponding relationship to the initial BIM model according to the model coordinate data, and outputs it as a second BIM model; Step S3, inputting the geological characteristic data into a preset construction scheme model, obtaining construction material information data corresponding to the geological characteristic data, establishing a third corresponding relationship between the construction material information data and the model coordinate data, mapping the construction material information data in the third corresponding relationship to the second BIM model according to the model coordinate data, and outputting it as a third BIM model; Step S4, obtaining the construction material quantity data corresponding to the construction material information data in real time, establishing a construction material inventory early warning model, and outputting a construction material replenishment reminder signal; Step S5, extracting road information data in the third BIM model, obtaining traffic flow data, analyzing the traffic flow data, mapping the analysis results to the third BIM model, and outputting them as the final BIM model; The step S1 includes the following sub-steps: Step S101, importing an initial BIM model, extracting terrain data of the initial BIM model, wherein the terrain data includes elevation data, slope data, aspect data, and corresponding model coordinate data; Step S102, inputting elevation data, slope data, aspect data and corresponding model coordinate data into ArcGISZ to obtain terrain relief, terrain roughness, surface cutting depth and elevation variation coefficient; The step S1 further comprises the following sub-steps: Step S103, analyzing the exploration point arrangement position information and the exploration point quantity information according to the terrain undulation, terrain roughness, surface cutting depth and elevation variation coefficient. The logic of analyzing the exploration point arrangement position information and the exploration point quantity information according to the terrain undulation, terrain roughness, surface cutting depth and elevation variation coefficient is: If the terrain relief is greater than 100 meters or the elevation variation coefficient is greater than 0.3, the distance between exploration points is determined to be no more than 100 meters; If the terrain relief is between 50 and 100 meters or the elevation variation coefficient is between 0.15 and 0.3, the distance between exploration points is determined to be between 100 and 200 meters; If the terrain relief is less than 50 m or the elevation variation coefficient is less than 0.15, the exploration point spacing is determined to be between 200 m and 400 m; The number of exploration points is based on a preset roughness level and a preset surface cutting depth level, and the number of exploration points is increased by one unit level on the basis of the preset basic number of exploration points; The output is the exploration point layout location information and exploration point quantity information; Step S104, establishing a first correspondence between the exploration point arrangement position information, the exploration point quantity information and the corresponding model coordinate data, and inputting the first correspondence to the exploration point control terminal; The step S2 includes the following sub-steps: Step S201, the exploration point control terminal collects geological information according to the first corresponding relationship and outputs it as geological information data; Step S202, performing data cleaning on the geological information data, wherein the cleaning includes regular expression matching and string replacement, extracting features of the geological information data, and outputting the features as geological feature data, wherein the features in the geological feature data include geological structural features, petrological features, stratigraphic features, geochemical features, and geophysical features; Step S203, establishing a second correspondence between the geological feature data and the model coordinate data, mapping the geological feature data in the second correspondence to the initial BIM model according to the model coordinate data, and outputting it as a second BIM model; The step S3 includes the following sub-steps: Step S301, inputting geological characteristic data and construction type into a preset construction scheme model, obtaining construction material information data corresponding to the geological characteristic data and construction type, wherein the construction material information data includes material name and specification model; Step S302, establishing a third correspondence between the construction material information data and the model coordinate data, mapping the construction material information data in the third correspondence to the second BIM model according to the model coordinate data, and outputting it as a third BIM model; Step S4 includes the following sub-steps: Step S401, acquiring construction material quantity data corresponding to the construction material information data in real time, and mapping the construction material quantity data to the third BIM model; Step S402: Establish a construction material inventory warning model and output a construction material replenishment reminder signal.
2. A BIM data collection method for highway engineering according to claim 1, characterized in that: The logic of the construction material inventory early warning model is: Establishing a data connection with a construction material supplier to obtain construction material information data, wherein the construction material information data includes material name, specification model, material quantity and inventory status; Set inventory thresholds corresponding to material names and specifications, the inventory thresholds include minimum inventory and safety inventory, calculate the average consumption rate corresponding to the material names and specifications, and output construction material replenishment reminder signals based on construction material quantity data, average consumption rate and inventory thresholds. The construction material replenishment reminder signals include replenishment material names, replenishment specifications, replenishment quantities and corresponding model coordinate data.
3. A BIM data collection method for highway engineering as claimed in claim 2, characterized in that: Step S5 includes the following sub-steps: Step S501, extracting road information data and construction type in the third BIM model, obtaining traffic flow data, inputting the construction type, road information data and traffic flow data into the transportation tool module software to perform traffic flow simulation, and obtaining traffic congestion information data; Step S502: establish a fourth corresponding relationship between the traffic congestion information data and the model coordinate data, map the traffic congestion information data in the fourth corresponding relationship to the third BIM model according to the model coordinate data, and output it as a final BIM model.
4. A BIM data collection method for highway engineering as claimed in claim 3, characterized in that: The construction type is used to determine whether it is suitable for traffic. If the construction type belongs to the preset construction type suitable for traffic, traffic flow simulation is performed. If the construction type belongs to the preset construction type not suitable for traffic, traffic flow simulation is not performed and it is marked as prohibited to traffic.
5. A BIM data acquisition system for highway engineering, which is applied to a BIM data acquisition method for highway engineering as claimed in any one of claims 1 to 4, characterized in that: It includes exploration point setting module, geological information acquisition module, construction situation acquisition module, construction material early warning module and traffic flow analysis module; The exploration point setting module is used to import the initial BIM model, extract the terrain data of the initial BIM model, calculate the terrain relief, terrain roughness, surface cutting depth and elevation variation coefficient according to the terrain data, analyze the exploration point layout position information and the exploration point quantity information according to the terrain relief, terrain roughness, surface cutting depth and elevation variation coefficient, establish a first correspondence between the exploration point layout position information, the exploration point quantity information and the corresponding model coordinate data, and input the first correspondence to the exploration point control terminal; The geological information acquisition module is used for the exploration point control end to collect geological information according to the first corresponding relationship, output as geological information data, perform data cleaning on the geological information data, extract the characteristics of the geological information data, output as geological characteristic data, establish a second corresponding relationship between the geological characteristic data and the model coordinate data, map the geological characteristic data in the second corresponding relationship to the initial BIM model according to the model coordinate data, and output as a second BIM model; The construction situation acquisition module is used to input the geological feature data into a preset construction plan model, obtain the construction material information data corresponding to the geological feature data, establish a third corresponding relationship between the construction material information data and the model coordinate data, map the construction material information data in the third corresponding relationship to the second BIM model according to the model coordinate data, and output it as a third BIM model; The construction material early warning module is used to obtain the construction material quantity data corresponding to the construction material information data in real time, establish a construction material inventory early warning model, and output a construction material replenishment reminder signal; The vehicle flow analysis module is used to extract road information data in the third BIM model, obtain traffic flow data, analyze the traffic flow data, map the analysis results to the third BIM model, and output them as the final BIM model.
Citation Information
Patent Citations
Construction data collection method based on BIM model
CN117314793B
Intelligent construction method and system based on BIM model and complete set of intelligent construction equipment
CN113935084A
Municipal road construction method and system based on BIM
CN119398357A