Long-distance underwater tunnel monitoring equipment arrangement method based on BIM and AI identification

Abstract

The invention discloses a long-distance underwater tunnel monitoring equipment arrangement method based on BIM (Building Information Modeling) and AI (Artificial Intelligence) identification. The method comprises the following steps: reversely establishing a three-dimensional model of a long-distance underwater tunnel; importing the three-dimensional model into three-dimensional design model software to form a spatial three-dimensional model; adjusting the visual angle height and the visual angle range of the spatial three-dimensional model according to the range required by AI identification imaging, and outputting the imaging information and the viewpoint height information of the current monitoring picture; and selecting a corresponding monitoring camera according to the imaging information and the AI identification effective range, determining the installation distance of the monitoring camera, and carrying out monitoring equipment arrangement of the long-distance underwater tunnel. According to the invention, through the BIM technology, on the basis of satisfying the effective range of AI identification, reasonable arrangement of the monitoring equipment is carried out, and the cameras in the tunnel are reasonably arranged by utilizing the visual and simulated characteristics of the BIM technology, so that the number of the required monitoring equipment is reduced, the cost is reduced, and safe refined management and control in the tunnel are realized.

Description

Technical Field

[0001] The invention relates to a method for arranging long-distance underwater tunnel monitoring equipment based on BIM and AI recognition, and belongs to the technical field of monitoring equipment deployment. Background Art

[0002] For the layout of monitoring equipment in the tunnel, the traditional layout method is to select and arrange the monitoring cameras by referring to the plan layout and on-site survey and simulating imagination in the brain. There are great limitations in the traditional method of arranging monitoring equipment, because the commonly used cameras are installed and fixed at a certain height and facing a specified direction, and the range of imaging is limited, which is a picture that the human brain cannot simulate specifically. In addition, in the curved section of the tunnel, more monitoring cameras are usually added to compensate. Since it is impossible to simulate the imaging situation and the height of the field of vision of the monitoring camera, the effect after the layout is often unsatisfactory, resulting in half the result with twice the effort. At the same time, compared with ordinary tunnels, underwater tunnels have more complex structures, fewer entrances and exits, and stronger closure. The special location also makes evacuation and rescue, ventilation and smoke exhaust more difficult than ordinary tunnels. One of the main reasons for the injury or even death of personnel inside is the toxic and harmful gases produced by combustion. Once a fire occurs, it is very easy to spread rapidly and cause casualties. In order to ensure the timeliness and accuracy of AI recognition, it is necessary to propose a new layout method for the layout of long-distance underwater tunnel monitoring equipment. Summary of the invention

[0003] The technical problem to be solved by the present invention is to provide a method for arranging long-distance underwater tunnel monitoring equipment based on BIM and AI recognition, which can reasonably arrange underwater tunnel cameras with long distances, complex structures and special geographical locations, reduce the number of required monitoring equipment, reduce costs, and achieve refined management and control of safety in the tunnel.

[0004] The present invention adopts the following technical solutions to solve the above technical problems:

[0005] The method for arranging monitoring equipment for a long-distance underwater tunnel based on BIM and AI recognition includes the following steps:

[0006] Step 1, reversely establish a three-dimensional model of a long-distance underwater tunnel, including a three-dimensional model of the tunnel structure and a three-dimensional model of the traffic flow in the tunnel;

[0007] Step 2, importing the 3D model created in step 1 into a 3D design model software to form a spatial 3D model;

[0008] Step 3: adjust the viewing angle height and viewing angle range of the spatial three-dimensional model according to the monitoring picture required for AI recognition imaging, and output the imaging information and viewpoint height information of the monitoring picture;

[0009] Step 4: Select the corresponding surveillance camera based on the imaging information and the effective range of AI recognition, determine the installation spacing of the surveillance cameras, and arrange the surveillance equipment for the long-distance underwater tunnel.

[0010] As a preferred embodiment of the present invention, the specific process of step 1 is as follows:

[0011] Obtain the point cloud data model of the long-distance underwater tunnel, and based on the underwater tunnel point cloud model obtained on site, use the modeling function of Autodesk Revit software to reversely build the tunnel's structural 3D model and vehicle model.

[0012] As a preferred solution of the present invention, the specific process of step 2 is as follows:

[0013] Use Autodesk Revit software to export the 3D model of the tunnel structure and the 3D model of the traffic flow in the tunnel established in step 1 into nwc format files;

[0014] The three-dimensional model of the tunnel structure and the three-dimensional model of the traffic flow in the tunnel in the nwc format are imported into the Navisworks software and integrated to form a spatial three-dimensional model in the Navisworks software; the spatial three-dimensional model in the nwc format is used as a scene carrier for the layout of underwater tunnel monitoring equipment.

[0015] As a preferred solution of the present invention, the specific process of step 3 is as follows:

[0016] In Navisworks software, use the viewpoint movement function to move to the monitoring screen that needs to be monitored and meet the AI ​​recognition effective distance requirements. The monitoring screen output imaging range is used as a reference for selecting monitoring equipment, and the viewpoint height of the monitoring screen is used as the location for installing the monitoring equipment;

[0017] The image size and imaging range of the monitoring screen output image are the imaging information output by the monitoring screen, and the position information at or close to the position when the monitoring screen is captured is the viewpoint height information of the monitoring screen.

[0018] As a preferred solution of the present invention, the specific process of step 4 is as follows:

[0019] The 3D model of the traffic flow in the tunnel and the 3D model of the tunnel structure are integrated into an animation set through the timeline function of the Navisworks software.

[0020] Combining the animation set with the viewpoint height information of the monitoring screen in step 3 to produce a virtual animation;

[0021] According to the virtual animation, the dynamic monitoring simulation of the corresponding monitoring camera during the normal driving of the tunnel vehicle is carried out;

[0022] Combine dynamic monitoring simulation video with actual AI recognition function, adjust the viewpoint information distance to meet the viewing distance requirements for AI recognition, and confirm the layout principles of monitoring equipment based on the viewing distance requirements for AI recognition function.

[0023] As a preferred solution of the present invention, the arrangement principle of the monitoring equipment is as follows: the gun-type camera is located at the edge bracket of the tunnel, the ball-type camera is located at 9m above the top of the tunnel, and a monitoring device is arranged every 100m at the same position.

[0024] Compared with the prior art, the present invention adopts the above technical solution and has the following technical effects:

[0025] The present invention uses BIM technology in combination with the AI ​​recognition function range to make a reasonable layout, and uses the visualization and simulation characteristics of BIM technology to reasonably arrange the cameras in the tunnel, thereby reducing the number of required monitoring equipment, reducing costs, and achieving refined management and control of safety in the tunnel. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 It is a flow chart of a method for arranging long-distance underwater tunnel monitoring equipment based on BIM and AI recognition according to the present invention. DETAILED DESCRIPTION

[0027] The embodiments of the present invention are described in detail below, and examples of the embodiments are shown in the accompanying drawings. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and cannot be interpreted as limiting the present invention.

[0028] like Figure 1 As shown, the present invention proposes a method for arranging long-distance underwater tunnel monitoring equipment based on BIM and AI recognition, comprising the following steps:

[0029] S01: Reversely build a 3D model of a long-distance underwater tunnel, including: a 3D model of the tunnel structure and a real 3D model of the traffic flow;

[0030] S02: Import the 3D model into the 3D design model software to form a spatial 3D model;

[0031] S03: Adjust the viewing angle height and viewing angle range of the spatial three-dimensional model according to the required range of AI recognition imaging, and output the imaging information and viewpoint height information of the current monitoring screen;

[0032] S04: Select the corresponding surveillance camera according to the imaging information and the effective range of AI recognition, determine the installation spacing of the surveillance cameras, and arrange the surveillance equipment for the long-distance underwater tunnel.

[0033] The following uses the Autodesk Revit software and Navisworks software in the BIM (Building Information Modeling) technology as examples (Autodesk Revit software is the BIM modeling software, and Navisworks software is the BIM design software. Both can be replaced by other BIM software or other technical software with the same functions to achieve the effect of the present invention. The present invention does not specifically limit the application software). The implementation scheme of the virtual arrangement of the construction site monitoring camera is further explained in the present invention, as follows:

[0034] In step S01: reversely establishing a three-dimensional model of a long-distance underwater tunnel includes: using a 3D scanner and a computer control system to build a topographic acquisition system, relying on the point cloud model obtained on site, reversely establishing a structural three-dimensional model of the tunnel and importing it into Autodesk Revit software.

[0035] The Autodesk Revit software is built specifically for Building Information Modeling (BIM), and the Chinese name of Autodesk Revit is building design and construction software. BIM is an integrated process built on the basis of coordinated and reliable project information from design, construction to operation. By adopting BIM, construction companies can use consistent information throughout the process to design and draw innovative projects, and can also support better communication by accurately visualizing the appearance of the building, simulating real performance so that all parties in the project can understand the environmental impact. In the present invention, the modeling function of the Autodesk Revit software is used to reversely build a structural three-dimensional model of the tunnel and a vehicle model.

[0036] In step S02: first, the structural 3D model and vehicle model of the tunnel established by Autodesk Revit software are exported into nwc format files; then the structural 3D model and vehicle model in nwc format are imported and integrated by Navisworks software, so as to form a spatial 3D model in Navisworks software. Moreover, the spatial 3D model in nwc format integrated by Navisworks software is used as a scene carrier for the layout of tunnel monitoring equipment.

[0037] The Navisworks software is a software for visualization, simulation and analysis of 3D design models in multiple formats. The solution supports all project stakeholders to reliably integrate, share and review detailed 3D design models, and plays a core role in the Building Information Model (BIM) workflow. The significance of BIM is to create and use consistent and computable information related to construction projects during and after the design and construction stages. Navisworks software can combine design data created by applications such as AutoCAD and Revit® series with geometry and information from other design tools, and treat it as a whole 3D project for real-time review through multiple file formats, regardless of the size of the file. Navisworks software products can help all stakeholders view the project as a whole, thereby optimizing all aspects from design decisions, construction implementation, performance prediction and planning to facility management and operations. The nwc format is an operating format for Navisworks software.

[0038] After importing the 3D model created by Autodesk Revit software into Navisworks software, it can be integrated into a visual and simulated 3D spatial model.

[0039] In step S03: in Navisworks software, through the functions of view movement and the like, the monitoring screen to be monitored is operated and meets the AI ​​recognition effective distance requirements. The output imaging range of this monitoring screen can be used as a reference for selecting monitoring equipment, and the viewpoint height of this monitoring screen can be used as the location for installing monitoring equipment. The image size and imaging range of the output image of the monitoring screen are the imaging information output by the current monitoring screen, and the position information at or near the position when this monitoring screen is captured is the viewpoint height information output by the current monitoring screen.

[0040] Therefore, the viewpoint function of Navisworks software is used to provide height and surveillance camera model (or parameter) selection for the three-dimensional space installation of tunnel surveillance cameras.

[0041] In step S03: adjust the viewing angle of the spatial three-dimensional model to the monitoring screen to be monitored, and output the imaging information and viewpoint height information of the current monitoring screen, including: adjust the viewing angle of the spatial three-dimensional model to the monitoring screen to be monitored, adjust the viewing angle height and viewing angle range of the spatial three-dimensional model according to the required range of AI recognition imaging, and output the imaging information and viewpoint height information of the current monitoring screen.

[0042] Specifically: by adjusting the parameters in "Output → Image" in the Navisworks software menu bar (i.e., output parameters) to change the imaging effect and imaging size of the output monitoring screen, it can be used to simulate the viewing angle imaging effect and imaging range of a certain monitoring camera, and verify whether the monitoring screen resolution and effective viewing distance meet the requirements of the AI ​​recognition function. Adjust the output parameters of the output screen, the output parameters are video resolution and effective viewing distance; according to the video resolution and effective viewing distance, combined with the limited range of AI recognition, determine the longitudinal layout spacing of the monitoring equipment.

[0043] The present invention provides a method for arranging long-distance underwater tunnel monitoring equipment based on BIM and AI recognition, which also includes: integrating the tunnel model and the vehicle model inside the tunnel in time in a three-dimensional design model software (Navisworks software) to form an animation set; combining the animation set with the viewpoint height information of the installation position of the monitoring camera to produce a virtual animation; performing dynamic monitoring simulation of the corresponding monitoring camera during normal driving of the tunnel vehicle according to the virtual animation; combining the dynamic monitoring simulation video with the actual AI recognition function to adjust the viewpoint information spacing to meet the viewing distance requirement required for AI recognition.

[0044] According to the monitoring simulation video and AI recognition requirements, the layout principle of the monitoring equipment is confirmed as follows: the gun-type camera is located at the bracket at the edge of the tunnel, the dome camera is located at a height of about 9m at the top of the tunnel, and a monitoring device is arranged every 100m at the same position.

[0045] By adopting the above operation, the virtual animation produced by the "4D simulation" technology of the project in Navisworks software and combined with the perspective of the above viewpoint can be used as a dynamic monitoring simulation of the corresponding monitoring camera during the normal use of the tunnel in the future.

[0046] The "4D simulation" here means: by linking BIM with time, integrating spatial information and time information into a visual 4D (3D+Time) model, the entire tunnel operation process can be reflected intuitively and accurately.

[0047] The present invention discloses a long-distance underwater tunnel monitoring equipment arrangement method based on BIM and AI recognition. The arrangement can be rationalized through BIM and AI recognition technology, and the cameras in the tunnel are rationally arranged by utilizing the visualization and simulation characteristics of BIM technology, thereby reducing the number of required monitoring equipment, reducing costs, and achieving refined control of safety in the tunnel.

[0048] In order to facilitate the understanding of the long-distance underwater tunnel monitoring equipment arrangement method based on BIM and AI recognition of the present invention, an operation example is given below to further illustrate the present invention. The specific technical steps for the virtual arrangement of the construction site monitoring camera are as follows:

[0049] Using 3D scanners and computer control systems to build a topographic acquisition system, based on the point cloud model obtained on site, the algorithm is used to reversely build a three-dimensional structural model of the tunnel and import it into Autodesk Revit software;

[0050] In Autodesk Revit software, click "Export → nwc" in the upper left corner to export the tunnel's structural 3D model and vehicle model into nwc format files;

[0051] Open Navisworks software and import the structural 3D model and vehicle 3D model in nwc format to form a spatial 3D model in Navisworks software;

[0052] In Navisworks software, you can use functions such as view movement to move the monitoring screen to the required monitoring screen and meet the AI ​​recognition effective distance requirements. The output imaging range of this monitoring screen can be used as a reference for selecting monitoring equipment, and the viewpoint height of this monitoring screen can be used as the location for installing monitoring equipment. The image size and imaging range of the monitoring screen output image are the imaging information output by the current monitoring screen, and the position information at or near the position where this monitoring screen is captured is the viewpoint height information output by the current monitoring screen;

[0053] The vehicle model and the 3D model of the tunnel structure are integrated into an animation set through the Timeliner function of the Navisworks software. This is then combined with the viewpoints of the saved surveillance camera installation points to create a virtual animation. This animation can simulate the tunnel under normal use and confirm the layout principles of the surveillance equipment based on the sight distance requirements for the AI ​​recognition function.

[0054] It should be noted that the structures, proportions, sizes, etc. illustrated in the drawings of this specification are only used to match the contents disclosed in the specification for people familiar with this technology to understand and read, and are not used to limit the limiting conditions for the implementation of the present invention, so they have no substantial technical significance. Any modification of the structure, change of the proportion relationship or adjustment of the size should still fall within the scope of the technical content disclosed by the present invention without affecting the effects and purposes that can be achieved by the present invention. At the same time, the terms such as "upper", "lower", "left", "right", "middle" and "one" quoted in this specification are only for the convenience of description, and are not used to limit the scope of the implementation of the present invention. The change or adjustment of their relative relationship should also be regarded as the scope of the implementation of the present invention without substantially changing the technical content.

[0055] The above is only a preferred embodiment of the present invention, and does not limit the present invention in any form. Although the present invention has been disclosed as a preferred embodiment as above, it is not used to limit the present invention. Any technician familiar with this profession can make some changes or modifications to equivalent embodiments of equivalent changes using the technical contents disclosed above without departing from the scope of the technical solution of the present invention. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the content of the technical solution of the present invention still fall within the scope of the technical solution of the present invention.

Claims

1. A method for arranging long-distance underwater tunnel monitoring equipment based on BIM and AI recognition, characterized in that: The steps include: Step 1, reversely establish a three-dimensional model of a long-distance underwater tunnel, including a three-dimensional model of the tunnel structure and a three-dimensional model of the traffic flow in the tunnel; Step 2, importing the 3D model created in step 1 into a 3D design model software to form a spatial 3D model; Step 3: adjust the viewing angle height and viewing angle range of the spatial three-dimensional model according to the monitoring picture required for AI recognition imaging, and output the imaging information and viewpoint height information of the monitoring picture; Step 4: Select the corresponding surveillance camera based on the imaging information and the effective range of AI recognition, determine the installation spacing of the surveillance cameras, and arrange the surveillance equipment for the long-distance underwater tunnel.

2. The method for arranging long-distance underwater tunnel monitoring equipment based on BIM and AI recognition according to claim 1 is characterized in that: The specific process of step 1 is as follows: Obtain the point cloud data model of the long-distance underwater tunnel, and based on the underwater tunnel point cloud model obtained on site, use the modeling function of Autodesk Revit software to reversely build the tunnel's structural 3D model and vehicle model.

3. The method for arranging long-distance underwater tunnel monitoring equipment based on BIM and AI recognition according to claim 1 is characterized in that: The specific process of step 2 is as follows: Use Autodesk Revit software to export the 3D model of the tunnel structure and the 3D model of the traffic flow in the tunnel established in step 1 into nwc format files; The three-dimensional model of the tunnel structure and the three-dimensional model of the traffic flow in the tunnel in the nwc format are imported into the Navisworks software and integrated to form a spatial three-dimensional model in the Navisworks software; the spatial three-dimensional model in the nwc format is used as a scene carrier for the layout of underwater tunnel monitoring equipment.

4. The method for arranging long-distance underwater tunnel monitoring equipment based on BIM and AI recognition according to claim 1 is characterized in that: The specific process of step 3 is as follows: In Navisworks software, use the viewpoint movement function to move to the monitoring screen that needs to be monitored and meet the AI ​​recognition effective distance requirements. The monitoring screen output imaging range is used as a reference for selecting monitoring equipment, and the viewpoint height of the monitoring screen is used as the location for installing the monitoring equipment; The image size and imaging range of the monitoring screen output image are the imaging information output by the monitoring screen, and the position information at or close to the position when the monitoring screen is captured is the viewpoint height information of the monitoring screen.

5. The method for arranging long-distance underwater tunnel monitoring equipment based on BIM and AI recognition according to claim 1 is characterized in that: The specific process of step 4 is as follows: The 3D model of the traffic flow in the tunnel and the 3D model of the tunnel structure are integrated into an animation set through the timeline function of the Navisworks software. Combining the animation set with the viewpoint height information of the monitoring screen in step 3 to produce a virtual animation; According to the virtual animation, the dynamic monitoring simulation of the corresponding monitoring camera during the normal driving of the tunnel vehicle is carried out; Combine dynamic monitoring simulation video with actual AI recognition function, adjust the viewpoint information distance to meet the viewing distance requirements for AI recognition, and confirm the layout principles of monitoring equipment based on the viewing distance requirements for AI recognition function.

6. The method for arranging long-distance underwater tunnel monitoring equipment based on BIM and AI recognition according to claim 5 is characterized in that: The arrangement principle of the monitoring equipment is as follows: the gun-type camera is located at the bracket at the edge of the tunnel, the ball-type camera is located at 9m above the top of the tunnel, and a monitoring device is arranged every 100m at the same position.

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