Highway construction safety data management method and system based on BIM technology

Abstract

The invention relates to the technical field of road construction data analysis, in particular to a road construction safety data management method and system based on the BIM technology, and the method comprises the steps: importing road surface topographic data and road surface detection data into a road surface loss analysis model, and analyzing the road surface loss condition of a to-be-constructed tunnel; importing the pavement topographic data and the traffic environment data into a tunnel driving risk assessment model, and assessing the driving risk of the to-be-constructed tunnel; according to the pavement loss condition analysis result of the to-be-constructed tunnel and the driving risk assessment result of the to-be-constructed tunnel, the construction risk of the to-be-constructed tunnel is analyzed; and deploying constructors according to the construction risk analysis result of the to-be-constructed tunnel. The construction risk can be effectively identified and managed in the early stage of the construction operation, so that the safety of constructors is ensured, and the efficiency of identifying the construction operation risk in the tunnel in the prior art is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of highway construction data analysis, and in particular to a highway construction safety data management method and system based on BIM technology. Background Art

[0002] In modern infrastructure construction, tunnel engineering has always been a major challenge in construction projects due to its complexity and high risk. Conventional tunnel construction usually relies on geological survey data and empirical judgment to formulate construction plans. However, this method often seems to be stretched when facing complex underground terrain and changing construction environments. It may not only lead to wrong decisions, but also cause serious safety problems. With the development of information technology, the application of BIM technology provides a new decision-making support tool for tunnel construction. BIM technology can display various types of information on the construction site in real time through three-dimensional modeling and data integration, including maps, construction schedules, personnel allocation and equipment operation, thereby realizing dynamic monitoring of the construction process.

[0003] However, when conducting construction risk assessment, existing technologies mostly only focus on the impact of weather and environmental factors and vehicle factors in the construction area on construction safety. Although this method can be used as a technical means to assess construction risks, its application limitations are obvious. Simply relying on weather and vehicle factors cannot fully reflect the complex risks in the tunnel construction process, especially in underground projects. Changes in the geological conditions of the tunnel pavement, the tunnel structure, and the internal environment will have a significant impact on construction safety.

[0004] In order to solve these problems, this application designs a highway construction safety data management method and system based on BIM technology. Summary of the invention

[0005] In order to overcome the defects and shortcomings of the prior art, the present invention provides a highway construction safety data management method and system based on BIM technology, which analyzes the construction risk of the tunnel to be constructed according to the pavement loss of the tunnel to be constructed and the driving risk of the tunnel to be constructed, and can effectively identify and manage construction risks in the early stage of construction, thereby ensuring the safety of construction personnel, and improving the efficiency of prior art in identifying construction operation risks in tunnels.

[0006] In order to achieve the above object, the present invention adopts the following technical solutions: In a first aspect, an embodiment of the present invention provides a highway construction safety data management method based on BIM technology, comprising the following steps: S1. Acquire the road surface topography data of the tunnel to be constructed from the BIM three-dimensional model of the tunnel to be constructed, and simultaneously acquire the road surface detection data and traffic environment data of the tunnel to be constructed; S2. Importing the road surface topography data and the road surface detection data into the road surface loss analysis model to analyze the road surface loss of the tunnel to be constructed; S3, importing the road topography data and traffic environment data into the tunnel driving risk assessment model to assess the driving risk of the tunnel to be constructed; S4. Analyze the construction risk of the tunnel to be constructed based on the analysis results of the road surface loss of the tunnel to be constructed and the driving risk assessment results of the tunnel to be constructed; S5. Deploy construction personnel based on the construction risk analysis results of the tunnel to be constructed.

[0007] In one implementation of the present invention, step S2 includes the following specific steps: S21, extracting road surface topographic data and road surface detection data of the tunnel to be constructed; S22, substituting the road surface topography data and the road surface detection data into the road surface loss coefficient calculation formula to calculate the road surface loss coefficient of the tunnel to be constructed, the road surface loss coefficient calculation formula is: ; Where LS represents the pavement loss coefficient of the tunnel to be constructed, It represents the average road friction coefficient of the lane to be constructed in the tunnel to be constructed in the road surface detection data. It represents the average road friction coefficient of the normal driving lane in the tunnel to be constructed in the road surface detection data. represents the design load of the lane to be constructed in the road surface terrain data, M represents the average design load of all lanes in the tunnel to be constructed in the road surface terrain data, Indicates the slope value of the lane to be constructed in the road terrain data. It represents the maximum value of all lane slope values ​​in the tunnel to be constructed in the road terrain data. Indicates the road surface humidity of the lane to be constructed in the road surface detection data. It represents the average road surface humidity of all lanes in the tunnel to be constructed in the road surface detection data. represents the length of the lane to be constructed in the road surface terrain data, and L represents the total length of all lanes in the tunnel to be constructed in the road surface terrain data.

[0008] In one implementation of the present invention, step S3 includes the following specific steps: S31, extracting road topography data and traffic environment data; S32, substituting the road surface topography data and the traffic environment data into the tunnel driving risk assessment coefficient calculation formula to calculate the tunnel driving risk assessment coefficient of the tunnel to be constructed, the tunnel driving risk assessment coefficient calculation formula is: ; Where SF represents the tunnel driving risk assessment coefficient of the tunnel to be constructed, Q represents the number of vehicles entering the tunnel to be constructed detected in the historical construction period in the traffic environment data, represents the number of vehicles entering the lane to be constructed detected in the same historical construction period in the traffic environment data, vi represents the average speed of the i-th vehicle entering the lane to be constructed detected in the same historical construction period in the traffic environment data, V represents the average speed of all vehicles entering the lane to be constructed detected in the same historical construction period in the traffic environment data, It represents the function of the curvature of the road surface of the lane to be constructed obtained from the road terrain data with respect to the length of the lane to be constructed The first derivative of It represents the function of the curvature of the road surface of the lane to be constructed obtained from the road terrain data with respect to the length of the lane to be constructed The second-order derivative of It represents the function of the slope of the lane to be constructed obtained from the road topography data and the length of the lane to be constructed.

[0009] In one implementation of the present invention, step S4 includes the following specific steps: S41, obtaining the calculated road surface loss coefficient of the tunnel to be constructed and the tunnel driving risk assessment coefficient of the tunnel to be constructed; S42, substituting the road surface loss coefficient of the tunnel to be constructed and the tunnel driving risk assessment coefficient of the tunnel to be constructed into the construction risk coefficient calculation formula to calculate the construction risk coefficient of the tunnel to be constructed, the construction risk coefficient calculation formula is: ; Where SG represents the construction risk factor of the tunnel to be constructed.

[0010] In one implementation of the present invention, step S5 includes the following specific steps: S51, obtaining the calculated construction risk coefficient of the tunnel to be constructed; S52. A construction risk coefficient threshold is preset. When the construction risk coefficient of the tunnel to be constructed is greater than the construction risk coefficient threshold, construction work on the tunnel to be constructed is cancelled. When the construction risk coefficient of the tunnel to be constructed is less than or equal to the construction risk coefficient threshold, construction personnel are arranged to enter the tunnel to be constructed for construction work.

[0011] In a second aspect, an embodiment of the present invention further provides a highway construction safety data management system based on BIM technology, comprising: A data acquisition module is used to acquire the road surface topography data of the tunnel to be constructed from the BIM three-dimensional model of the tunnel to be constructed, and to acquire the road surface detection data and traffic environment data of the tunnel to be constructed; The pavement loss analysis module is used to import the pavement terrain data and pavement detection data into the pavement loss analysis model to analyze the pavement loss of the tunnel to be constructed; The driving risk assessment module is used to import the road topography data and traffic environment data into the tunnel driving risk assessment model to assess the driving risk of the tunnel to be constructed; A construction risk analysis module is used to analyze the construction risk of the tunnel to be constructed based on the analysis results of the road surface loss of the tunnel to be constructed and the driving risk assessment results of the tunnel to be constructed; The construction personnel deployment module is used to deploy construction personnel according to the construction risk analysis results of the tunnel to be constructed; A control module is used to control the operation of the data acquisition module, the road loss analysis module, the driving risk assessment module, the construction risk analysis module and the construction personnel deployment module.

[0012] In a third aspect, an embodiment of the present invention provides an electronic device, comprising: a processor and a memory, wherein the memory stores a computer program that can be called by the processor, and the processor executes a highway construction safety data management method based on BIM technology by calling the computer program stored in the memory.

[0013] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium storing instructions, which, when executed on a computer, enables the computer to execute a highway construction safety data management method based on BIM technology.

[0014] Compared with the prior art, the present invention has the following advantages and beneficial effects: The present invention analyzes the pavement loss of the tunnel to be constructed by importing pavement topography data and pavement detection data into a pavement loss analysis model; imports pavement topography data and traffic environment data into a tunnel driving risk assessment model to assess the driving risk of the tunnel to be constructed; analyzes the construction risk of the tunnel to be constructed based on the pavement loss analysis results of the tunnel to be constructed and the driving risk assessment results of the tunnel to be constructed; and deploys construction personnel based on the construction risk analysis results of the tunnel to be constructed. The present invention can effectively identify and manage construction risks in the early stages of construction operations, thereby ensuring the safety of construction personnel, and improves the efficiency of the prior art in identifying risks in tunnel construction operations. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Other features, objects and advantages of the present invention will become more apparent from the detailed description of non-limiting embodiments made with reference to the following drawings: Figure 1 It is a schematic diagram of the overall process of a highway construction safety data management method based on BIM technology of the present invention; Figure 2 A schematic diagram of the structure of a highway construction safety data management system based on BIM technology according to the present invention; Figure 3 The present invention is a schematic diagram of the electronic device structure of a highway construction safety data management method based on BIM technology. DETAILED DESCRIPTION

[0016] The technical solution of the present invention is described in detail below through the accompanying drawings and specific embodiments. It should be understood that the embodiments of the present invention and the specific features in the embodiments are detailed descriptions of the technical solution of the present invention, rather than limitations on the technical solution of the present invention. The embodiments of the present invention and the technical features in the embodiments may be combined with each other unless there is a conflict.

[0017] Example 1

[0018] like Figure 1 As shown, this embodiment provides a highway construction safety data management method based on BIM technology, which specifically includes the following steps: S1. Acquire the road surface topography data of the tunnel to be constructed from the BIM three-dimensional model of the tunnel to be constructed, and simultaneously acquire the road surface detection data and traffic environment data of the tunnel to be constructed; S2. Importing the road surface topography data and the road surface detection data into the road surface loss analysis model to analyze the road surface loss of the tunnel to be constructed; S3, importing the road topography data and traffic environment data into the tunnel driving risk assessment model to assess the driving risk of the tunnel to be constructed; S4. Analyze the construction risk of the tunnel to be constructed based on the analysis results of the road surface loss of the tunnel to be constructed and the driving risk assessment results of the tunnel to be constructed; S5. Deploy construction personnel based on the construction risk analysis results of the tunnel to be constructed.

[0019] In this embodiment, analyzing the pavement loss of the tunnel to be constructed includes the following specific steps: S21, extracting road surface topographic data and road surface detection data of the tunnel to be constructed; S22, substituting the road surface topography data and the road surface detection data into the road surface loss coefficient calculation formula to calculate the road surface loss coefficient of the tunnel to be constructed, the road surface loss coefficient calculation formula is: ; Where LS represents the pavement loss coefficient of the tunnel to be constructed, It represents the average road friction coefficient of the lane to be constructed in the tunnel to be constructed in the road surface detection data. It represents the average road friction coefficient of the normal driving lane in the tunnel to be constructed in the road surface detection data. represents the design load of the lane to be constructed in the road surface terrain data, M represents the average design load of all lanes in the tunnel to be constructed in the road surface terrain data, Indicates the slope value of the lane to be constructed in the road terrain data. It represents the maximum value of all lane slope values ​​in the tunnel to be constructed in the road terrain data. Indicates the road surface humidity of the lane to be constructed in the road surface detection data. It represents the average road surface humidity of all lanes in the tunnel to be constructed in the road surface detection data. represents the length of the lane to be constructed in the road surface terrain data, and L represents the total length of all lanes in the tunnel to be constructed in the road surface terrain data.

[0020] It should be noted that calculating the pavement loss coefficient can help evaluate the pavement condition of the lane to be constructed, including the loss caused by use and natural factors. This is crucial for the safe operation of construction equipment and vehicles. The pavement loss coefficient can help the construction party predict which section of the road needs more frequent repair and maintenance, thereby reducing construction delays and safety hazards caused by poor pavement conditions. At the same time, according to the pavement loss situation, the construction party can choose the appropriate materials and construction technology to extend the service life of the pavement.

[0021] In this embodiment, assessing the driving risk of the tunnel to be constructed includes the following specific steps: S31, extracting road topography data and traffic environment data; S32, substituting the road surface topography data and the traffic environment data into the tunnel driving risk assessment coefficient calculation formula to calculate the tunnel driving risk assessment coefficient of the tunnel to be constructed, the tunnel driving risk assessment coefficient calculation formula is: ; Where SF represents the tunnel driving risk assessment coefficient of the tunnel to be constructed, Q represents the number of vehicles entering the tunnel to be constructed detected in the historical construction period in the traffic environment data, represents the number of vehicles entering the lane to be constructed detected in the same historical construction period in the traffic environment data, vi represents the average speed of the i-th vehicle entering the lane to be constructed detected in the same historical construction period in the traffic environment data, V represents the average speed of all vehicles entering the lane to be constructed detected in the same historical construction period in the traffic environment data, It represents the function of the curvature of the road surface of the lane to be constructed obtained from the road terrain data with respect to the length of the lane to be constructed The first derivative of It represents the function of the curvature of the road surface of the lane to be constructed obtained from the road terrain data with respect to the length of the lane to be constructed The second-order derivative of It represents the function of the slope of the lane to be constructed obtained from the road topography data and the length of the lane to be constructed.

[0022] It should be noted that in the calculation formula of the tunnel driving risk assessment coefficient, by evaluating the curvature and slope of the road surface, the complex terrain that may be encountered during the construction process can be identified, thereby providing important guidance for the movement of equipment and personnel and the construction process; by calculating the traffic flow in the same historical construction period, the traffic pressure can be evaluated to help reasonably arrange the construction time to reduce the impact on traffic; when calculating the tunnel driving risk assessment coefficient, by monitoring the speed fluctuations of vehicles on the lane to be constructed, the sudden deceleration or acceleration that may occur in the lane can be identified, which helps to reduce the potential accident risks caused by unstable traffic flow; and by understanding the speed changes, the construction team can arrange traffic diversion measures to ensure that construction vehicles pass quickly and safely.

[0023] In this embodiment, the curvature of the road surface of the lane to be constructed is a function of the length of the lane to be constructed. The BIM three-dimensional model of the tunnel to be constructed is obtained. The BIM three-dimensional model of the tunnel to be constructed contains accurate tunnel geometry information. The coordinate data of the cross section and longitudinal section of the lane to be constructed are extracted. The three-dimensional coordinates of each point in the pavement of the lane to be constructed can be extracted from these data. The three-dimensional coordinates of each point in the pavement of the lane to be constructed in the BIM three-dimensional model of the tunnel to be constructed are exported, and the three-dimensional coordinates are converted into two-dimensional curve data of the pavement of the lane to be constructed through CAD software or a dedicated BIM data interface, such as the IFC file format. The two-dimensional curve data of the pavement of the lane to be constructed is used with a curve fitting tool to generate a function of the curvature of the pavement of the lane to be constructed with respect to the length of the lane to be constructed based on the extracted two-dimensional curve data of the pavement of the lane to be constructed. In order to calculate the tunnel driving risk assessment coefficient of the tunnel to be constructed.

[0024] In this embodiment, the function of the slope of the lane to be constructed with respect to the length of the lane to be constructed is: Specifically, it refers to the rate of change of the road elevation of the lane to be constructed with the length of the lane to be constructed; use BIM software to open the BIM three-dimensional model of the tunnel to be constructed containing road information, export the three-dimensional coordinate data of the road of the lane to be constructed, import the exported three-dimensional coordinate data of the road of the lane to be constructed into the data processing software, and ensure that the data is arranged in the order along the road, and use the finite difference method to calculate the elevation change rate of each three-dimensional coordinate in the three-dimensional coordinate data of the road of the lane to be constructed. Import the elevation change rate of each three-dimensional coordinate in the three-dimensional coordinate data of the road of the lane to be constructed into the curve fitting software to obtain the function of the slope of the lane to be constructed with respect to the length of the lane to be constructed .

[0025] In this embodiment, analyzing the construction risk of a tunnel to be constructed includes the following specific steps: S41, obtaining the calculated road surface loss coefficient of the tunnel to be constructed and the tunnel driving risk assessment coefficient of the tunnel to be constructed; S42, substituting the road surface loss coefficient of the tunnel to be constructed and the tunnel driving risk assessment coefficient of the tunnel to be constructed into the construction risk coefficient calculation formula to calculate the construction risk coefficient of the tunnel to be constructed, the construction risk coefficient calculation formula is: ; Where SG represents the construction risk factor of the tunnel to be constructed.

[0026] In this embodiment, the deployment of construction personnel includes the following specific steps: S51, obtaining the calculated construction risk coefficient of the tunnel to be constructed; S52. Preset a construction risk coefficient threshold. When the construction risk coefficient of the tunnel to be constructed is greater than the construction risk coefficient threshold, cancel the construction work on the tunnel to be constructed. When the construction risk coefficient of the tunnel to be constructed is less than or equal to the construction risk coefficient threshold, arrange construction personnel to enter the tunnel to be constructed to carry out construction work. The construction risk coefficient threshold is obtained in the following way: obtain 5000 sets of pavement loss coefficients of the tunnels to be constructed and tunnel driving risk assessment coefficients of the tunnels to be constructed, and obtain the construction risk judgment result of the tunnel to be constructed; and obtain the construction risk coefficient of the tunnel to be constructed through the pavement loss coefficient of the tunnel to be constructed and the tunnel driving risk assessment coefficient of the tunnel to be constructed, import the calculated construction risk coefficient of the tunnel to be constructed and the construction risk judgment result of the tunnel to be constructed into the fitting software, and output the construction risk coefficient threshold that meets the highest judgment accuracy.

[0027] Example 2

[0028] like Figure 2 As shown, this embodiment provides a highway construction safety data management system based on BIM technology, including: A data acquisition module is used to acquire the road surface topography data of the tunnel to be constructed from the BIM three-dimensional model of the tunnel to be constructed, and to acquire the road surface detection data and traffic environment data of the tunnel to be constructed; The pavement loss analysis module is used to import the pavement terrain data and pavement detection data into the pavement loss analysis model to analyze the pavement loss of the tunnel to be constructed; The driving risk assessment module is used to import the road topography data and traffic environment data into the tunnel driving risk assessment model to assess the driving risk of the tunnel to be constructed; A construction risk analysis module is used to analyze the construction risk of the tunnel to be constructed based on the analysis results of the road surface loss of the tunnel to be constructed and the driving risk assessment results of the tunnel to be constructed; The construction personnel deployment module is used to deploy construction personnel according to the construction risk analysis results of the tunnel to be constructed; The control module is used to control the operation of the data acquisition module, the road loss analysis module, the driving risk assessment module, the construction risk analysis module and the construction personnel deployment module.

[0029] In this embodiment, the pavement loss analysis module is used to import the pavement terrain data and the pavement detection data into the pavement loss analysis model to analyze the pavement loss of the tunnel to be constructed; Analyzing the pavement loss of a tunnel to be constructed includes the following specific steps: Extract the road surface topography data and road surface inspection data of the tunnel to be constructed; Substitute the road surface topography data and road surface detection data into the road surface loss coefficient calculation formula to calculate the road surface loss coefficient of the tunnel to be constructed. The road surface loss coefficient calculation formula is: ; Where LS represents the pavement loss coefficient of the tunnel to be constructed, It represents the average road friction coefficient of the lane to be constructed in the tunnel to be constructed in the road surface detection data. It represents the average road friction coefficient of the normal driving lane in the tunnel to be constructed in the road surface detection data. represents the design load of the lane to be constructed in the road surface terrain data, M represents the average design load of all lanes in the tunnel to be constructed in the road surface terrain data, Indicates the slope value of the lane to be constructed in the road terrain data. It represents the maximum value of all lane slope values ​​in the tunnel to be constructed in the road terrain data. Indicates the road surface humidity of the lane to be constructed in the road surface detection data. It represents the average road surface humidity of all lanes in the tunnel to be constructed in the road surface detection data. represents the length of the lane to be constructed in the road surface terrain data, and L represents the total length of all lanes in the tunnel to be constructed in the road surface terrain data.

[0030] In this embodiment, the driving risk assessment module is used to import the road terrain data and the traffic environment data into the tunnel driving risk assessment model to assess the driving risk of the tunnel to be constructed; The assessment of driving risk in a tunnel to be constructed includes the following specific steps: Extract road terrain data and traffic environment data; Substitute the road surface topography data and traffic environment data into the tunnel driving risk assessment coefficient calculation formula to calculate the tunnel driving risk assessment coefficient of the tunnel to be constructed. The tunnel driving risk assessment coefficient calculation formula is: ; Where SF represents the tunnel driving risk assessment coefficient of the tunnel to be constructed, Q represents the number of vehicles entering the tunnel to be constructed detected in the historical construction period in the traffic environment data, represents the number of vehicles entering the lane to be constructed detected in the same historical construction period in the traffic environment data, vi represents the average speed of the i-th vehicle entering the lane to be constructed detected in the same historical construction period in the traffic environment data, V represents the average speed of all vehicles entering the lane to be constructed detected in the same historical construction period in the traffic environment data, It represents the function of the curvature of the road surface of the lane to be constructed obtained from the road terrain data with respect to the length of the lane to be constructed The first derivative of It represents the function of the curvature of the road surface of the lane to be constructed obtained from the road terrain data with respect to the length of the lane to be constructed The second-order derivative of It represents the function of the slope of the lane to be constructed obtained from the road topography data and the length of the lane to be constructed.

[0031] In this embodiment, the construction risk analysis module is used to analyze the construction risk of the tunnel to be constructed according to the analysis results of the road surface loss of the tunnel to be constructed and the driving risk assessment results of the tunnel to be constructed; Analyzing the construction risks of a tunnel to be constructed includes the following specific steps: Obtaining the calculated pavement loss coefficient of the tunnel to be constructed and the tunnel driving risk assessment coefficient of the tunnel to be constructed; The road surface loss coefficient of the tunnel to be constructed and the tunnel driving risk assessment coefficient of the tunnel to be constructed are substituted into the construction risk coefficient calculation formula to calculate the construction risk coefficient of the tunnel to be constructed. The construction risk coefficient calculation formula is: ; Where SG represents the construction risk factor of the tunnel to be constructed.

[0032] In this embodiment, the construction personnel deployment module is used to deploy construction personnel according to the construction risk analysis results of the tunnel to be constructed; the deployment of construction personnel includes the following specific steps: Obtaining the calculated construction risk coefficient of the tunnel to be constructed; A construction risk coefficient threshold is preset. When the construction risk coefficient of the tunnel to be constructed is greater than the construction risk coefficient threshold, the construction work on the tunnel to be constructed is cancelled. When the construction risk coefficient of the tunnel to be constructed is less than or equal to the construction risk coefficient threshold, construction personnel are arranged to enter the tunnel to be constructed for construction work. The construction risk coefficient threshold is obtained in the following way: 5000 groups of pavement loss coefficients of the tunnels to be constructed and tunnel driving risk assessment coefficients of the tunnels to be constructed are obtained to obtain the construction risk judgment result of the tunnels to be constructed; and the construction risk coefficient of the tunnel to be constructed is obtained through the pavement loss coefficient of the tunnel to be constructed and the tunnel driving risk assessment coefficient of the tunnel to be constructed. The calculated construction risk coefficient of the tunnel to be constructed and the construction risk judgment result of the tunnel to be constructed are imported into the fitting software to output the construction risk coefficient threshold that meets the highest judgment accuracy.

[0033] The above-mentioned parameters and steps for each unit module to realize the corresponding functions in a highway construction safety data management system based on BIM technology of the present invention can refer to the parameters and steps in the embodiment of a highway construction safety data management method based on BIM technology above, and will not be repeated here.

[0034] Example 3

[0035] like Figure 3 As shown, an electronic device according to an embodiment of the present invention includes: a processor and a memory, wherein the memory stores a computer program that can be called by the processor, and the processor executes a highway construction safety data management method based on BIM technology by calling the computer program stored in the memory. It should be noted that: all computer programs of a highway construction safety data management method based on BIM technology are implemented in C language, wherein the data acquisition module, the pavement loss analysis module, the driving risk assessment module, the construction risk analysis module, the construction personnel deployment module and the control module are all controlled by a remote server.

[0036] Example 4

[0037] This embodiment provides a computer-readable storage medium having a rewritable computer program stored thereon; When the computer program runs on a computer device, the computer device executes the above-mentioned highway construction safety data management method based on BIM technology.

[0038] Each embodiment of the present invention is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the IoT device and medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiments.

[0039] The system and medium provided in the embodiments of the present invention correspond one-to-one to the method, and therefore, the system and medium also have similar beneficial technical effects to the corresponding methods. Since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the system and medium will not be repeated here.

[0040] It will be appreciated by those skilled in the art that 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. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0041] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0042] 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.

[0043] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0044] Memory may include non-permanent storage in a computer-readable medium, in the form of random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of a computer-readable medium.

[0045] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0046] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0047] The above are only embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent substitution, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of the claims of the present invention.

Claims

1. A highway construction safety data management method based on BIM technology, characterized in that: The steps include: S1. Acquire the road surface topography data of the tunnel to be constructed from the BIM three-dimensional model of the tunnel to be constructed, and simultaneously acquire the road surface detection data and traffic environment data of the tunnel to be constructed; S2. Importing the road surface topography data and the road surface detection data into the road surface loss analysis model to analyze the road surface loss of the tunnel to be constructed; S3, importing the road topography data and traffic environment data into the tunnel driving risk assessment model to assess the driving risk of the tunnel to be constructed; S4. Analyze the construction risk of the tunnel to be constructed based on the analysis results of the road surface loss of the tunnel to be constructed and the driving risk assessment results of the tunnel to be constructed; S5. Deploy construction personnel according to the construction risk analysis results of the tunnel to be constructed; The step S2 comprises the following specific steps: S21, extracting road surface topographic data and road surface detection data of the tunnel to be constructed; S22, substituting the road surface topography data and the road surface detection data into the road surface loss coefficient calculation formula to calculate the road surface loss coefficient of the tunnel to be constructed, the road surface loss coefficient calculation formula is: ; Where LS represents the pavement loss coefficient of the tunnel to be constructed, It represents the average road friction coefficient of the lane to be constructed in the tunnel to be constructed in the road surface detection data. It represents the average road friction coefficient of the normal driving lane in the tunnel to be constructed in the road surface detection data. represents the design load of the lane to be constructed in the road surface terrain data, M represents the average design load of all lanes in the tunnel to be constructed in the road surface terrain data, Indicates the slope value of the lane to be constructed in the road terrain data. It represents the maximum value of all lane slope values ​​in the tunnel to be constructed in the road terrain data. Indicates the road surface humidity of the lane to be constructed in the road surface detection data. It represents the average road surface humidity of all lanes in the tunnel to be constructed in the road surface detection data. represents the length of the lane to be constructed in the road surface terrain data, and L represents the total length of all lanes in the tunnel to be constructed in the road surface terrain data; The step S3 comprises the following specific steps: S31, extracting road topography data and traffic environment data; S32, substituting the road surface topography data and the traffic environment data into the tunnel driving risk assessment coefficient calculation formula to calculate the tunnel driving risk assessment coefficient of the tunnel to be constructed, the tunnel driving risk assessment coefficient calculation formula is: ； Where SF represents the tunnel driving risk assessment coefficient of the tunnel to be constructed, Q represents the number of vehicles entering the tunnel to be constructed detected in the historical construction period in the traffic environment data, represents the number of vehicles entering the lane to be constructed detected in the same historical construction period in the traffic environment data, vi represents the average speed of the i-th vehicle entering the lane to be constructed detected in the same historical construction period in the traffic environment data, V represents the average speed of all vehicles entering the lane to be constructed detected in the same historical construction period in the traffic environment data, It represents the function of the curvature of the road surface of the lane to be constructed obtained from the road terrain data with respect to the length of the lane to be constructed The first derivative of It represents the function of the curvature of the road surface of the lane to be constructed obtained from the road terrain data with respect to the length of the lane to be constructed The second-order derivative of It represents the function of the slope of the lane to be constructed obtained from the road topography data and the length of the lane to be constructed.

2. A highway construction safety data management method based on BIM technology according to claim 1, characterized in that: The step S4 comprises the following specific steps: S41, obtaining the calculated road surface loss coefficient of the tunnel to be constructed and the tunnel driving risk assessment coefficient of the tunnel to be constructed; S42, substituting the road surface loss coefficient of the tunnel to be constructed and the tunnel driving risk assessment coefficient of the tunnel to be constructed into the construction risk coefficient calculation formula to calculate the construction risk coefficient of the tunnel to be constructed, the construction risk coefficient calculation formula is: ； Where SG represents the construction risk factor of the tunnel to be constructed.

3. A highway construction safety data management method based on BIM technology according to claim 2, characterized in that: The step S5 comprises the following specific steps: S51, obtaining the calculated construction risk coefficient of the tunnel to be constructed; S52. A construction risk coefficient threshold is preset. When the construction risk coefficient of the tunnel to be constructed is greater than the construction risk coefficient threshold, construction work on the tunnel to be constructed is cancelled. When the construction risk coefficient of the tunnel to be constructed is less than or equal to the construction risk coefficient threshold, construction personnel are arranged to enter the tunnel to be constructed for construction work.

4. A highway construction safety data management system based on BIM technology, used to implement a highway construction safety data management method based on BIM technology as described in any one of claims 1 to 3, characterized in that: The system comprises: A data acquisition module is used to acquire the road surface topography data of the tunnel to be constructed from the BIM three-dimensional model of the tunnel to be constructed, and to acquire the road surface detection data and traffic environment data of the tunnel to be constructed; The pavement loss analysis module is used to import the pavement terrain data and pavement detection data into the pavement loss analysis model to analyze the pavement loss of the tunnel to be constructed; The driving risk assessment module is used to import the road topography data and traffic environment data into the tunnel driving risk assessment model to assess the driving risk of the tunnel to be constructed; A construction risk analysis module is used to analyze the construction risk of the tunnel to be constructed based on the analysis results of the road surface loss of the tunnel to be constructed and the driving risk assessment results of the tunnel to be constructed; The construction personnel deployment module is used to deploy construction personnel according to the construction risk analysis results of the tunnel to be constructed; A control module is used to control the operation of the data acquisition module, the road loss analysis module, the driving risk assessment module, the construction risk analysis module and the construction personnel deployment module.

5. An electronic device comprising: A processor and a memory, wherein the memory stores a computer program that can be called by the processor; characterized in that the processor executes a highway construction safety data management method based on BIM technology as described in any one of claims 1 to 3 by calling the computer program stored in the memory.

6. A computer-readable storage medium, characterized in that: Instructions are stored, and when the instructions are executed on a computer, the computer executes a highway construction safety data management method based on BIM technology as described in any one of claims 1 to 3.

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