BIM data acquisition method and system for highway engineering

Abstract

The invention discloses a BIM data acquisition method and system for highway engineering, and relates to the technical field of BIM data acquisition, and the method comprises the steps: importing an initial BIM model, extracting the features of geological information data, outputting the features as a second BIM model, obtaining construction material information data corresponding to geological feature data, outputting the features as a third BIM model, and obtaining the number data of construction materials in real time. According to the method, the efficiency and precision of highway engineering BIM data collection are remarkably improved, exploration point arrangement is optimized through intelligent analysis, efficient information integration and collaborative management are achieved, meanwhile, intelligent construction material management is achieved, and the construction efficiency is improved. In addition, traffic flow simulation is supported, a scientific basis is provided for traffic planning, digital transformation of highway engineering is promoted, the overall level of design, construction and operation management is improved, and remarkable social and economic benefits are achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of BIM data collection, and in particular to a BIM data collection method and system for highway engineering. Background Art

[0002] With the rapid development of highway engineering, the scale of projects continues to expand and the complexity increases. Traditional engineering management and design methods can no longer meet the needs of efficiency and precision. As an advanced digital technology, building information modeling has been widely used in the fields of construction and infrastructure. BIM technology integrates various types of information throughout the life cycle of the project, including data from the design, construction, and operation stages, to achieve information sharing and collaborative management, significantly improving the efficiency and quality of engineering projects.

[0003] At present, a Chinese invention patent with application number CN202311597573.2 discloses a construction data acquisition method based on a BIM model, which includes: obtaining a target building image corresponding to a target building construction site, and filtering out a target illumination area from the target building image; filtering out pixels with the largest and smallest grayscale values ​​from a preset neighborhood corresponding to the illumination pixel points; performing illumination direction analysis on the illumination pixel points; determining the illumination center point according to the intersection between the illumination direction lines; enhancing the target building image according to the distance between the pixel point and the illumination center point in the target building image, and the proportion of the grayscale value corresponding to the pixel point in the target building image, to obtain a target enhanced image, and to enhance the pre-constructed initial BIM model.

[0004] The above technologies make it difficult to integrate geological conditions, construction conditions and traffic flow control into the BIM model, to achieve information sharing and collaborative management, and 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-mentioned 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] In order to solve the above technical problems, the present invention provides the following technical solutions: A BIM data collection method for highway engineering includes the following steps: 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.

[0007] Preferably, 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: input the elevation data, slope data, aspect data and corresponding model coordinate data into ArcGIS Z to obtain terrain undulation, terrain roughness, surface cutting depth and elevation variation coefficient.

[0008] Preferably, the step S1 further includes 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.

[0009] Preferably, 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 corresponding relationship between the geological feature data and the model coordinate data, mapping the geological feature data in the second corresponding relationship to the initial BIM model according to the model coordinate data, and outputting it as a second BIM model.

[0010] Preferably, 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: 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.

[0011] Preferably, 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.

[0012] Preferably, 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.

[0013] Preferably, 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.

[0014] Preferably, the construction type is used to determine whether it is suitable for traffic. If the construction type belongs to a preset construction type suitable for traffic, traffic flow simulation is performed. If the construction type belongs to a preset construction type not suitable for traffic, traffic flow simulation is not performed and the road is marked as prohibited from traffic.

[0015] A BIM data acquisition system for highway engineering, which is applied to a BIM data acquisition method for highway engineering, comprises an exploration point setting module, a geological information acquisition module, a construction situation acquisition module, a construction material early warning module and a vehicle 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.

[0016] Beneficial effects of the invention: The invention significantly improves the efficiency and accuracy of BIM data collection for highway projects, optimizes the layout of exploration points through intelligent analysis, realizes efficient information integration and collaborative management, and at the same time, intelligently manages construction materials to ensure sufficient materials and avoid delays. In addition, it also supports traffic flow simulation, provides a scientific basis for traffic planning, promotes the digital transformation of highway projects, improves the overall level of design, construction and operation management, and has significant social and economic benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 A flowchart of a BIM data collection method for highway engineering provided by one embodiment of the present invention; Figure 2 A basic flow chart of a BIM data acquisition system for highway engineering provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0018] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings. It is obvious that the described embodiments are only part of the embodiments of the present invention, but not all of the embodiments.

[0019] Example 1, reference Figure 1 , provides a BIM data collection method for highway engineering, comprising the following steps: Step S1, importing the initial BIM model, extracting the terrain data of the initial BIM model, calculating the terrain undulation, 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 undulation, 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.

[0020] Step S2: the exploration point control end collects geological information according to the first corresponding relationship, outputs it as geological information data, cleans the geological information data, extracts the characteristics of the geological information data, outputs it as geological characteristic data, establishes a second corresponding relationship between the geological characteristic data and the model coordinate data, maps the geological characteristic 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.

[0021] Step S3, input the geological characteristic data into the preset construction plan model, obtain the construction material information data corresponding to the geological characteristic 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.

[0022] 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.

[0023] 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.

[0024] 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.

[0025] Step S101 imports the initial BIM model and successfully extracts terrain data, including elevation data, slope data, aspect data and corresponding model coordinate data. These terrain data are the basis for subsequent analysis and provide necessary information for subsequent steps.

[0026] Step S102: input the elevation data, slope data, aspect data and corresponding model coordinate data into ArcGIS Z to obtain terrain undulation, terrain roughness, surface cutting depth and elevation variation coefficient.

[0027] Step S102 inputs the extracted terrain data into ArcGIS Z and successfully obtains key terrain parameters such as terrain relief, terrain roughness, surface cutting depth and elevation variation coefficient, which are important bases for analyzing the location and number of exploration points.

[0028] Step S1 also includes 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.

[0029] If the terrain undulation is between 50 and 100 meters or the elevation variation coefficient is between 0.15 and 0.3, the exploration point spacing is determined to be between 100 and 200 meters.

[0030] 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.

[0031] 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 step by step by one unit on the basis of the preset basic number of exploration points.

[0032] The output is the location information of the exploration points and the number of exploration points.

[0033] Step S103 reasonably analyzes and determines the layout location information and the number of exploration points according to the terrain undulation, terrain roughness, surface cutting depth and elevation variation coefficient, takes into account the influence of terrain characteristics on the layout of exploration points, ensures that the layout of exploration points can fully reflect the terrain characteristics, and provides accurate basic data for subsequent geological exploration work.

[0034] 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.

[0035] Step S104, establishes a first correspondence between the exploration point layout position information, the exploration point quantity information and the corresponding model coordinate data, and inputs this correspondence into the exploration point control terminal. This step facilitates subsequent geological exploration work, enables the exploration work to be carried out according to the predetermined position and quantity, and improves the efficiency and accuracy of the exploration work.

[0036] Step S1 aims to determine reasonable exploration point layout location information and exploration point quantity information 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 characteristics and provide accurate basic data for subsequent geological exploration work. Finally, step S1 will output the exploration point layout location information and exploration point quantity information, as well as the model coordinate data corresponding to this information, and input them to the exploration point control terminal through the first corresponding relationship to facilitate subsequent geological exploration work.

[0037] 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.

[0038] Step S201 collects geological information through the exploration point control terminal according to the 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 the geographical location, depth and other parameters of the exploration point, providing an accurate data source for subsequent geological feature extraction and model mapping.

[0039] 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 them 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.

[0040] 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, which aims to remove noise and redundant information in the data and improve the accuracy and readability of the data. Feature extraction extracts key geological features from the geological information data, such as geological structural features, petrological features, stratigraphic features, geochemical features, and geophysical features. The effect of this sub-step is to generate geological feature data with clear geological characteristics, providing strong support for subsequent geological feature mapping.

[0041] Step S203, establishing a second corresponding relationship between the geological feature data and the model coordinate data, mapping the geological feature data in the second corresponding relationship to the initial BIM model according to the model coordinate data, and outputting it as a second BIM model.

[0042] Step S203 establishes a second correspondence between the geological feature data and the model coordinate data, and maps the geological feature data to 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 to generate a second BIM model containing the geological information. Through the second correspondence, the accurate position of the geological feature data in the BIM model can be ensured, so that the building designers and construction personnel can intuitively understand the geological conditions, and thus take corresponding measures to deal with potential geological risks during the design and construction process.

[0043] Step S2 aims to convert the geological information data obtained from the exploration points into geological feature data that can be used to construct the BIM model, and map it into the initial BIM model to generate a second BIM model containing geological information. This step is crucial for considering geological factors in the building design and construction process, and helps to improve the safety and efficiency of the project.

[0044] Step S3 includes the following sub-steps: Step S301, inputting geological characteristic data and construction type into a preset construction plan 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.

[0045] Step S301 takes the geological characteristic data and construction type as input and processes them through the preset construction plan model. The construction plan model is based on a large amount of engineering practice data and professional knowledge, and can intelligently recommend suitable construction materials according to geological characteristics and construction types. The effect of this sub-step is to obtain construction material information data closely related to geological characteristic data and construction types, including material names and specifications. These data provide an important basis for the subsequent selection and procurement of construction materials.

[0046] Step S302: 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.

[0047] Step S302 establishes a third correspondence between the construction material information data and the model coordinate data, and maps the construction material information data 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 position of the BIM model, so that the construction personnel can intuitively understand the types and specifications of materials required for each construction site. This not only helps the material management and allocation during the construction process, but also improves the construction efficiency and quality. Finally, the third BIM model containing detailed construction material information is output, which provides strong support for various tasks in the construction stage.

[0048] Step S3 aims to comprehensively consider geological characteristic data and construction types, 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 construction plans, improving construction efficiency and ensuring project quality.

[0049] 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 into the third BIM model.

[0050] Step S401 obtains the construction material quantity data corresponding to the construction material information data in real time, and maps these data to 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, so that construction personnel and management personnel can understand the material consumption and remaining quantity in real time, which helps to optimize the use and allocation of materials and reduce waste and shortages.

[0051] Step S402: Establish a construction material inventory warning model and output a construction material replenishment reminder signal.

[0052] The logic of the construction material inventory early warning model is: Establish a data connection with the construction material supplier to obtain construction material information data, which includes material name, specification model, material quantity and inventory status.

[0053] 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.

[0054] 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 early warning of construction material inventory through an intelligent inventory management system. The model establishes a data connection with the construction material supplier 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 and safety inventory, and calculates the average consumption rate 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 take timely measures to replenish stocks and ensure sufficient supply of construction materials.

[0055] Step S5 includes the following sub-steps: Step S501, extract the road information data and construction type in the third BIM model, obtain traffic flow data, input the construction type, road information data and traffic flow data into the transportation tool module software to perform traffic flow simulation, and obtain traffic congestion information data.

[0056] Step S501 first extracts the road information data and construction type in the third BIM model. This information is the basis for traffic flow simulation. Then, the actual traffic flow data is obtained. These data reflect the traffic conditions of the road under normal circumstances. Then, these data are input into the transportation tool module software for traffic flow simulation. During the simulation process, it will be judged whether it is suitable for traffic based on the construction type: if the construction type belongs to the preset construction type suitable for traffic, the simulation will continue to predict the traffic congestion that may occur during the construction period; if the construction type belongs to the preset construction type not suitable for traffic, it will be directly marked as prohibited from traffic and no simulation will be performed. The effect of this step is to generate accurate traffic congestion information data, providing a scientific basis for subsequent construction traffic management.

[0057] 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.

[0058] 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.

[0059] Step S502 establishes the fourth correspondence between the traffic congestion information data and the model coordinate data, which is a key step in mapping the traffic information to the BIM model. Through this correspondence, the traffic congestion information data can be accurately located at the corresponding position of the BIM model. Then, the traffic congestion information data is mapped to the third BIM model according to the model coordinate data to form a 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 contains the traffic information during the construction period, providing intuitive and comprehensive visualization support for traffic management during the construction period.

[0060] Step S5 aims to simulate traffic flow by comprehensively considering the road information data, construction type and actual traffic flow data in the third BIM model, so as to predict and evaluate the traffic congestion that may occur during the construction period. 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 to the BIM model to form a final BIM model containing traffic information, providing intuitive and comprehensive visualization support for traffic management during construction.

[0061] This method uses automation and intelligent means to achieve rapid collection and processing of information such as terrain, geology and construction materials, significantly improving the efficiency of data collection. At the same time, the use of professional software such as ArcGIS for analysis and calculation further improves the accuracy and reliability of the data. According to parameters such as terrain undulation, terrain roughness, surface cutting depth and elevation variation coefficient, this method can intelligently analyze the layout and number of exploration points to ensure the pertinence and effectiveness of exploration work, which not only reduces the blindness and repetitiveness of exploration work, but also reduces exploration costs. This method integrates various types of collected information into the BIM model to achieve information sharing and collaborative management, which helps all parties involved in the project to 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 a construction material inventory early warning model, this method can monitor the quantity and status of construction materials in real time, and issue replenishment reminder signals in time to ensure an adequate 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 combine construction types and traffic flow data to simulate traffic flow, providing a scientific basis for traffic planning and operation management of highway projects, which helps to optimize traffic flow lines, alleviate traffic congestion, and improve road capacity.

[0062] Example 2, reference Figure 2 , provides a BIM data acquisition 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.

[0063] 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, terrain roughness, surface cutting depth and elevation variation coefficient based on the terrain data, analyze the exploration point layout position information and the exploration point quantity information based on the terrain undulation, terrain roughness, surface cutting depth and elevation variation coefficient, establish the first corresponding relationship between the exploration point layout position information, the exploration point quantity information and the corresponding model coordinate data, and input the first corresponding relationship to the exploration point control terminal.

[0064] The geological information acquisition module is used for the exploration point control end to collect geological information according to the first corresponding relationship, output it as geological information data, clean the geological information data, extract the characteristics of the geological information data, output it 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 it as a second BIM model.

[0065] The construction situation acquisition module is used to input geological characteristic data into a preset construction plan model, obtain construction material information data corresponding to the geological characteristic 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.

[0066] 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.

[0067] The traffic 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.

[0068] This system uses automation and intelligent means to quickly collect information such as terrain, geology, and construction materials, significantly improving data collection efficiency. It uses ArcGIS and other professional software to perform terrain analysis to ensure the accuracy and reliability of data, laying a solid foundation for subsequent work. According to parameters such as terrain undulation, roughness, surface cutting depth, and elevation variation coefficient, it intelligently analyzes and determines the layout and number of exploration points, reduces the blindness and repetitiveness of exploration work, optimizes exploration plans, and reduces exploration costs. At the same time, it ensures the accuracy and comprehensiveness of exploration results, integrates various types of collected information into the BIM model, realizes information sharing and collaborative management, and improves communication among all parties in the project. Efficiency and decision-making accuracy. The visualization function of the BIM model makes project management and communication more intuitive and convenient, which helps to improve the overall project management level, establish a construction material inventory early warning model, monitor the quantity and status of construction materials in real time, and issue replenishment reminder signals in time to ensure sufficient supply of construction materials, improve the utilization rate and management level of construction materials, avoid construction delays and cost increases caused by material shortages, extract road information data from the BIM model, and simulate traffic flow in combination with construction type and traffic flow data to provide a scientific basis for traffic planning and operation management of highway projects, optimize traffic flow lines, alleviate traffic congestion, and improve road capacity and traffic safety.

[0069] It should be understood by those skilled in the art that the embodiments of the present invention may be provided as methods, systems or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware aspects. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media containing computer-usable program codes. Among them, the storage medium may be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (Static Random Access Memory, referred to as SRAM), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory, referred to as EEPROM), erasable programmable read-only memory (Erasable Programmable Read Only Memory, referred to as EPROM), programmable read-only memory (Programmable Read-Only Memory, referred to as PROM), read-only memory (Read-Only Memory, referred to as ROM), magnetic memory, flash memory, magnetic disk or optical disk. These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0070] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in 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.

2. A BIM data collection method for highway engineering according to claim 1, characterized in that: 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: input elevation data, slope data, aspect data and corresponding model coordinate data into ArcGIS Z to obtain terrain relief, terrain roughness, surface cutting depth and elevation variation coefficient.

3. A BIM data collection method for highway engineering as claimed in claim 2, characterized in that: 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.

4. A BIM data collection method for highway engineering as claimed in claim 3, characterized in that: 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 corresponding relationship between the geological feature data and the model coordinate data, mapping the geological feature data in the second corresponding relationship to the initial BIM model according to the model coordinate data, and outputting it as a second BIM model.

5. A BIM data collection method for highway engineering as claimed in claim 4, characterized in that: 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: 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.

6. A BIM data collection method for highway engineering as claimed in claim 5, characterized in that: 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.

7. A BIM data collection method for highway engineering as claimed in claim 6, 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.

8. A BIM data collection method for highway engineering as claimed in claim 7, 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.

9. A BIM data collection method for highway engineering as claimed in claim 8, 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.

10. 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 9, 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.

Images