Construction method of color steel plate enclosure system of biosafety level three laboratory

Abstract

The application discloses a construction method of a color steel plate enclosure system of a biosafety protection three-level laboratory, and belongs to the technical field of laboratory construction. The application constructs a three-dimensional model of the laboratory through BIM, presents the positions and directions of equipment and pipelines, carries out simulation analysis on air flow organization through CFD, and obtains air flow direction, speed and pressure distribution data. In the construction process, AR is used for auxiliary positioning and guidance in the construction site, the construction process is carried out based on the optimized construction scheme, the entire laboratory enclosure system is constructed through scientific and reasonable design, material selection, installation and sealing treatment, the leakage and diffusion of pathogenic microorganisms in the laboratory can be effectively prevented, digital virtual construction, factory prefabrication and on-site assembly construction are used, the amount of on-site opening and rework is effectively reduced, the construction cost and construction period are saved, the engineering quality is improved, and the safety performance of the high-level biosafety laboratory is further ensured.

Description

Technical Field

[0001] This invention relates to the field of laboratory construction technology, and in particular to a construction method for a biosafety level 3 laboratory enclosure system using color steel panels. Background Technology

[0002] Biosafety Level 3 (BSL-3 / ABSL-3) laboratories are core facilities for researching highly pathogenic pathogens, and their enclosure systems must meet stringent requirements for airtightness, negative pressure gradients, and airflow organization. Traditional construction techniques rely heavily on two-dimensional drawings and on-site experience, which has the following limitations:

[0003] 1. In existing technologies, there is insufficient coordination between the design of electromechanical pipelines and the enclosure structure. Errors in drawings often lead to deviations in the location of openings on site, requiring multiple cuttings of color steel plates, resulting in material waste (scrap rate ≥15%) and construction delays. In addition, traditional construction lacks systematic verification of airflow organization, and only adjusts the air supply and exhaust vents through physical tests (such as the smoke method). Especially for high-level biosafety laboratories, which often require one-time molding, the efficiency is low and the cost is high.

[0004] 2. The existing enclosure structure is mostly processed on-site by hand, which often results in poor cutting accuracy of the color steel plate for the reserved holes of the panels, doors, windows and high-efficiency air supply and exhaust vents (error ±5mm), uneven filling of sealant, resulting in insufficient air tightness of the joints and affecting the overall negative pressure stability of the laboratory.

[0005] 3. Although technologies such as BIM and CFD have been partially applied to laboratory design, the data in each stage is isolated. AR technology is only used for construction display and is not combined with real-time progress data, so it cannot dynamically guide assembly. This disconnect makes design optimization and construction execution separate, making it difficult to achieve "one-time molding". Summary of the Invention

[0006] The purpose of this invention is to provide a construction method for a biosafety level 3 laboratory enclosure system using color steel panels, in order to solve the problems mentioned in the background art.

[0007] To achieve the above objectives, the present invention provides the following technical solution: a construction method for a biosafety level 3 laboratory color steel plate enclosure system, comprising:

[0008] Construction preparation methods and construction technology methods, wherein the construction preparation methods include: constructing a three-dimensional model of the laboratory using BIM and presenting the location and direction of equipment and pipelines; performing simulation analysis of airflow organization using CFD and obtaining airflow velocity and pressure distribution data; and using AR for on-site positioning and guidance during construction.

[0009] The construction plan is optimized by improving the construction preparation method. Based on the construction process method, the construction of trenches and wall panels, ceiling construction, PVC roll flooring construction, door and window installation, pipeline wall penetration sealing device installation, air supply and exhaust outlet installation, and tightness testing are carried out.

[0010] Furthermore, construction preparation methods include:

[0011] A three-dimensional model of the laboratory was created using BIM. The three-dimensional model includes the various functional areas of the laboratory, the corrugated steel plate enclosure structure, equipment and pipelines. The accuracy of the three-dimensional model reaches LOD400.

[0012] During the modeling process, based on the laboratory functional requirements and construction site data, key nodes are refined. These key nodes include pipeline intersections and equipment installation areas. Component parameters and construction process requirements are associated in the 3D model.

[0013] Construction progress data is collected from the construction site through the BIM platform. The construction progress data includes construction progress, personnel allocation, and material arrival status. The 3D model is synchronized with the construction progress data in real time, and the 3D model is adjusted according to the dynamic changes in the construction progress.

[0014] Furthermore, key nodes are prioritized and then further refined according to their respective priorities, including:

[0015] The weight of the construction stage corresponding to each key node is retrieved from the aforementioned laboratory functional requirements and construction site data.

[0016] Retrieve the sensitivity of the functional requirements corresponding to each key node;

[0017] A sensitivity intensity coefficient is set by utilizing the sensitivity of the functional requirements corresponding to each key node and the weight of its construction stage.

[0018] The sensitivity intensity coefficient is obtained by the following formula:

[0019]

[0020] Where E represents the sensitivity intensity coefficient; λ represents the weight of the construction stage corresponding to each key node; a represents the sensitivity of the functional requirements corresponding to each key node; t represents the number of construction days in the construction site data; Δt represents the maximum allowable deviation of the construction progress corresponding to the construction requirements; and r represents the spatial disturbance factor corresponding to the 3D laser scanner used to build the 3D model.

[0021] The sensitivity intensity coefficient is compared with a preset intensity coefficient threshold.

[0022] Key nodes whose sensitivity intensity coefficient does not exceed the preset intensity coefficient threshold are designated as third-level priority key nodes;

[0023] Key nodes whose sensitivity intensity coefficient exceeds a preset intensity coefficient threshold are prioritized.

[0024] Furthermore, key nodes whose sensitivity intensity coefficient exceeds a preset intensity coefficient threshold are prioritized, including:

[0025] The key nodes whose sensitivity intensity coefficient exceeds the preset intensity coefficient threshold are designated as target key nodes;

[0026] Extract the maximum allowable construction error correction coefficient during the construction process corresponding to the target key node;

[0027] The standard deviation of the maximum construction error correction coefficient corresponding to the target key node is obtained based on the maximum construction error correction coefficient allowed during the construction process.

[0028] Compare the standard deviation of the maximum construction error correction coefficient corresponding to the target key node with the preset standard deviation reference value;

[0029] When the standard deviation of the maximum construction error correction coefficient corresponding to the target key node exceeds the preset standard deviation reference value, the standard deviation reference value and the standard deviation of the maximum construction error correction coefficient are used to perform ratio processing to obtain the standard deviation ratio parameter.

[0030] The ratio of the sensitivity intensity coefficient to the intensity coefficient threshold of the target key node is used to obtain the intensity coefficient ratio parameter corresponding to each target key node;

[0031] Target critical nodes with strength coefficient ratio parameters greater than standard deviation ratio parameters are designated as first-priority critical nodes;

[0032] Target critical nodes whose strength coefficient ratio parameter is less than or equal to the standard deviation ratio parameter are designated as secondary priority critical nodes;

[0033] When the standard deviation of the maximum construction error correction coefficient corresponding to the target key node does not exceed the preset standard deviation reference value, all target key nodes are regarded as first-level priority key nodes.

[0034] Furthermore, construction preparation methods include:

[0035] Based on the laboratory's spatial layout, air vent distribution, and equipment location, an aerodynamic model is constructed. Supply and exhaust air parameters are input, and CFD computational fluid dynamics technology is used to simulate the laboratory's internal supply and exhaust air system in multiple scenarios. The multiple scenario simulations include the spatial layout of supply and exhaust air vents, normal operation, accident conditions, and airflow under extreme conditions. The supply and exhaust air parameters include wind speed, air volume, temperature, and humidity.

[0036] Based on the laboratory's operational needs, boundary conditions were set for different operating conditions, including personnel entry and exit, equipment operation, distribution of different pollution sources, and accident status. The airflow path, pressure distribution, and pollutant control effect under each operating condition were compared.

[0037] By the mass conservation of fluids:

[0038] , where ρ is the fluid density and v is the fluid velocity vector;

[0039] Momentum equation

[0040] Where p is pressure, τ is shear stress tensor, and g is gravitational acceleration;

[0041] and pollutant diffusion models

[0042] Where c is the pollutant concentration, D is the diffusion coefficient, and S is the source term result, which is used for CFD simulation to calculate the airflow velocity field, pressure distribution and pollutant diffusion, and to identify possible short-circuit loops, eddy regions and stagnant regions.

[0043] Based on the airflow simulation analysis results, and by applying the principle of fluid momentum conservation:

[0044] , where p is pressure, τ is shear stress tensor, and g is gravitational acceleration.

[0045] Turbulent kinetic energy equation:

[0046] and the equation for turbulent kinetic energy dissipation rate

[0047] Where k is the turbulent kinetic energy, It is the turbulent kinetic energy dissipation rate.

[0048] It is the term that generates turbulent kinetic energy.

[0049] and These are model constants. The position, number, and size of the air supply and exhaust vents are adjusted to comply with the directional airflow design principles of a Level 3 biosafety laboratory, avoid airflow conflicts, and dynamically adjust the air supply vent angle and wind speed parameters.

[0050] Furthermore, construction preparation methods include:

[0051] During the construction process, construction workers used mobile devices to load the laboratory's 3D model. These mobile devices included AR glasses, tablets, and smartphones.

[0052] The mobile device uses AR recognition to scan the construction site environment, collect data on building structure, installed components and construction progress, and matches the data with the 3D model in real time. Based on the matching results, the scale, angle and coordinates of the model are adjusted to make the virtual model accurately aligned with the actual construction environment.

[0053] During construction, the mobile device displays a 3D model of key construction nodes to the construction personnel in real time and overlays virtual information according to the construction stage and task. The virtual information includes component dimensions, installation sequence and process requirements.

[0054] During construction, mobile devices continuously collect operational data from construction workers and dynamically adjust the 3D model and virtual information displayed by AR based on the on-site progress.

[0055] Furthermore, the construction process includes: measuring the construction site and calculating the processing dimensions of the panels, installing aluminum alloy ground channels, ensuring that the U-shaped aluminum channels are tightly connected to the ground, fixing the lifting aluminum channels to the U-shaped aluminum channels, installing the wall panels in numerical order and reliably connecting them to the civil structure, and using Chinese-style aluminum connecting panels and sealing them.

[0056] Furthermore, the construction process includes: determining the ceiling elevation line and the location of the suspension rods, installing the suspension rods and inspecting the hanging parts, installing the color steel plate ceiling and connecting it to the wall panels through connectors, and cleaning and applying sealant to the joints after installation.

[0057] Furthermore, the construction process includes: applying an interface treatment agent after leveling the ground, pre-treating and cutting the PVC roll flooring, applying adhesive and laying the PVC roll flooring and rolling it with a roller, welding the joints of the PVC roll flooring and rounding the junction between the ground and the wall.

[0058] During the construction of PVC roll flooring, digital floor flatness testing equipment is used to detect the flatness of the floor leveling layer and self-leveling layer in real time.

[0059] Furthermore, for the BIM-built 3D model of the laboratory, pre-drilled holes in the wall panels exceeding 20cm were cut in the factory and then delivered to the site. During the wall panel assembly, door frames, window frames, and aluminum alloy protective frames for air supply and exhaust vents were installed simultaneously. Glue was applied at the connection points between the door and window frames and the structure, as well as at the glass installation points. High-efficiency air supply and exhaust vent housings were installed and fixed with glue, and the gaps between the housings and the ceiling were filled with filler. Diffusers were installed and high-efficiency filters were leak-tested. Air tightness testing equipment was used to test the air tightness of the sealing devices for door and window vents and pipeline penetrations through the walls.

[0060] Furthermore, the construction process includes: selecting appropriate pipe penetration sealing devices and installation methods based on the specific needs of the project, environmental conditions, and the specifications and quantity of cables and pipes; after installation, conducting sealing checks and tests to ensure that cables and pipes meet the required water tightness and air tightness requirements during penetration; reserving holes for biosafety transfer windows and electromechanical pipeline penetration holes; applying sealant at the connection between door / window frames and the structure, at glass installation locations, and at pipe penetration points; and using air tightness testing equipment to test the air tightness of door / window and pipe penetration sealing devices.

[0061] Furthermore, the construction process includes: after the construction unit completes the adjustments and tests, conducting a comprehensive performance test and evaluation of the Level 3 biosafety laboratory project;

[0062] For Class a and Class b1 laboratories in BSL-3 and ABSL-3, visual inspection and smoke analysis were used to check the gaps and joints in the laboratory envelope.

[0063] Compared with the prior art, the beneficial effects of the present invention are:

[0064] 1. This invention, through scientific and rational design, material selection, installation, and sealing treatment, constructs a complete laboratory enclosure system including wall panels, ceilings, floors, doors and windows, pipe penetration sealing devices, and high-efficiency air supply and exhaust vents. It can effectively prevent the leakage and spread of pathogenic microorganisms in the laboratory. By adopting digital virtual construction, factory prefabrication, and on-site assembly construction methods, it improves construction efficiency and project quality, while effectively reducing on-site openings and rework, saving construction costs and construction time, and ensuring the safety and efficiency of the laboratory enclosure system.

[0065] 2. This invention constructs a 3D model of the laboratory using BIM technology and achieves dynamic data synchronization, significantly improving the accuracy and feasibility of construction plans. Especially in complex nodes, the 3D model is associated with construction process requirements through parametric design, reducing on-site rework rates. The real-time synchronization function of the BIM platform with construction progress data makes project management more transparent. By binding material arrival time and personnel allocation plans with the 3D model, resource requirements at different construction stages can be dynamically simulated, optimizing supply chain management.

[0066] 3. This invention can comprehensively evaluate the robustness of the air supply and exhaust system by constructing an aerodynamic model and simulating different working conditions. CFD simulation can accurately identify the vortex region and stagnant region by quantitatively analyzing the airflow direction, velocity field and pressure distribution, thereby reducing the cost of physical experiments and saving costs. At the same time, the simulation data can directly guide the opening position of the prefabricated air supply and exhaust box in the factory, so that the on-site installation error is controlled within ±2mm, avoiding secondary cutting due to dimensional deviation.

[0067] 4. This invention loads a 3D model using AR glasses or a tablet, allowing construction workers to view the overlay effect of virtual components on the real scene in real time. When the construction progress deviates from the model plan, the system can automatically adjust the assembly logic of the subsequent model based on the real-time collected on-site data. It records worker operation data through gesture recognition and voice commands for subsequent quality traceability. It also demonstrates key processes through 3D animation, shortening the training cycle and saving rework costs. Attached Figure Description

[0068] Figure 1 This is a schematic diagram of the construction preparation method for the color steel plate enclosure system of the present invention;

[0069] Figure 2 This is a schematic diagram of the construction process of the color steel plate enclosure system of the present invention. Detailed Implementation

[0070] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0071] Please see Figure 1 The present invention provides the following technical solutions:

[0072] Construction methods for the color steel plate enclosure system of a biosafety level 3 laboratory include:

[0073] Construction preparation methods and construction technology methods. The construction preparation process includes: building a three-dimensional model of the laboratory using BIM and showing the location and direction of equipment and pipelines; conducting simulation analysis of airflow organization using CFD and obtaining airflow velocity and pressure distribution data; and using AR for on-site positioning and guidance during construction.

[0074] The construction plan was optimized by improving the construction preparation methods, and the construction of trenches and wall panels, ceilings, PVC roll flooring, doors and windows, pipe penetration sealing devices, air supply and exhaust vents, and tightness testing were carried out based on the construction process methods.

[0075] In the above embodiments, digital virtual construction, factory prefabrication, and on-site assembly construction effectively reduce the amount of on-site drilling and rework, save construction costs and construction period, improve project quality, and further ensure the safety performance of high-level biosafety laboratories.

[0076] Construction preparation methods include:

[0077] A 3D model of the laboratory was created using BIM. The 3D model includes the various functional areas of the laboratory, the corrugated steel plate enclosure structure, equipment and pipelines. The accuracy of the 3D model reaches LOD400.

[0078] During the modeling process, based on the laboratory's functional requirements and construction site data, key nodes were refined. These key nodes included pipeline intersections and equipment installation areas. Component parameters and construction process requirements were linked in the 3D model.

[0079] The construction progress data of the construction site is collected by the BIM platform. The construction progress data includes the construction progress, personnel allocation and material arrival status. The 3D model is synchronized with the construction progress data in real time, and the 3D model is adjusted according to the dynamic changes in the construction progress.

[0080] In the above embodiments, the construction of a 3D model of the laboratory using BIM technology and the realization of dynamic data synchronization significantly improve the accuracy and feasibility of the construction plan. Specifically, the LOD400 level precision model can fully present the spatial relationship of the color steel plate enclosure structure, equipment pipelines, and functional areas. Especially in complex nodes (such as pipeline intersections and densely populated equipment areas), the 3D model can associate construction process requirements through parametric design, such as preset bolt hole positions and sealant usage. High-precision modeling can identify design conflicts that are difficult to identify with traditional 2D drawings (such as pipeline collisions and misalignment of reserved holes) before construction, reducing on-site rework rates.

[0081] Specifically, key nodes are prioritized and then further refined according to their respective priorities, including:

[0082] The weight of the construction stage corresponding to each key node is retrieved from the aforementioned laboratory functional requirements and construction site data.

[0083] Retrieve the sensitivity of the functional requirements corresponding to each key node;

[0084] A sensitivity intensity coefficient is set by utilizing the sensitivity of the functional requirements corresponding to each key node and the weight of its construction stage.

[0085] The sensitivity intensity coefficient is obtained by the following formula:

[0086]

[0087] Where E represents the sensitivity intensity coefficient; λ represents the weight of the construction stage corresponding to each key node; a represents the sensitivity of the functional requirements corresponding to each key node; t represents the number of construction days in the construction site data; Δt represents the maximum allowable deviation of the construction progress corresponding to the construction requirements; r represents the spatial disturbance factor corresponding to the 3D laser scanner used to build the 3D model; specifically...

[0088] The denominator 1+r is used to correct the weights. The larger r is, the greater the spatial interference, and the lower the actual weight proportion in the calculation. That is, due to the instability of spatial factors, the importance assessment of key nodes based on the construction stage needs to be appropriately adjusted.

[0089] By combining construction time and allowable schedule deviations, and then processing them using the tanh function, the impact of construction schedule deviations on the sensitivity coefficient is quantified. tanh is a function with a range between (−1, 1), used here to map the calculation results related to construction schedule to a finite interval, preventing the calculation results from increasing or decreasing indefinitely, making the sensitivity coefficient calculation more reasonable and stable. By comprehensively considering the weight of construction stages, functional requirement sensitivity, construction schedule, and 3D modeling space factors, the sensitivity coefficient can be calculated more accurately, thereby accurately prioritizing key nodes. This allows the project team to clearly understand the importance of each node and rationally allocate resources and management efforts. The formula incorporates the number of construction days t and the maximum allowable deviation Δt of the construction schedule, dynamically reflecting the impact of construction schedule on the importance of key nodes. This facilitates timely detection of the impact of schedule deviations on different key nodes, allowing for proactive adjustments to ensure overall construction progress. The introduction of functional requirement sensitivity 'a' ensures that key nodes with significant functional impact receive sufficient attention. Prioritizing these nodes in resource allocation and construction management helps ensure the realization of laboratory functions and construction quality. The spatial disturbance factor r of the 3D laser scanner is considered to make the calculation of the sensitivity intensity coefficient more reliable in complex spatial measurement environments, enhance the system's adaptability to spatial measurement interference, and ensure the accuracy and stability of priority division.

[0090] The sensitivity intensity coefficient is compared with a preset intensity coefficient threshold.

[0091] Key nodes whose sensitivity intensity coefficient does not exceed the preset intensity coefficient threshold are designated as third-level priority key nodes;

[0092] Key nodes whose sensitivity intensity coefficient exceeds a preset intensity coefficient threshold are prioritized.

[0093] The technical effects of the above solution are as follows: By setting the sensitivity intensity coefficient based on the weight of the construction stage and the sensitivity of functional requirements, the importance of key nodes can be accurately identified. For level-three priority key nodes, resource input can be appropriately reduced; while for key nodes with sensitivity intensity coefficients exceeding the threshold, human, material, and financial resources can be rationally allocated according to priority, avoiding resource waste and concentrating resources on more critical links, thus improving resource utilization efficiency. Differentiating priorities prevents excessive resource investment in relatively minor key nodes, allowing resources to be used for nodes that truly affect the realization of laboratory functions and construction quality and progress, making project resource allocation more scientific and rational. Prioritizing allows the project team to clearly understand the differences in importance of each key node, prioritizing high-priority nodes, ensuring that construction management efforts are focused on key tasks, improving management efficiency, and avoiding the dispersion of management efforts. Based on the detailed processing according to priorities, more suitable construction plans and schedules can be formulated for nodes of different priorities. High-priority nodes are given special attention and their progress is strictly controlled, while low-priority nodes are arranged reasonably, ensuring that the overall construction progress proceeds as planned and reducing the risk of delays. For high-priority key nodes, more resources and management efforts are invested, which better ensures construction quality. These key points often have a significant impact on the laboratory's functionality. Careful handling can reduce quality issues and improve overall project quality. Accurate prioritization allows for the early identification of high-risk critical points (high-priority points typically have a greater impact on quality risks), enabling the development of quality risk mitigation measures in advance, reducing the probability of quality incidents, and improving project quality stability.

[0094] Specifically, key nodes whose sensitivity intensity coefficient exceeds a preset intensity coefficient threshold are prioritized, including:

[0095] The key nodes whose sensitivity intensity coefficient exceeds the preset intensity coefficient threshold are designated as target key nodes;

[0096] Extract the maximum allowable construction error correction coefficient during the construction process corresponding to the target key node;

[0097] The standard deviation of the maximum construction error correction coefficient corresponding to the target key node is obtained based on the maximum construction error correction coefficient allowed during the construction process.

[0098] Compare the standard deviation of the maximum construction error correction coefficient corresponding to the target key node with the preset standard deviation reference value;

[0099] When the standard deviation of the maximum construction error correction coefficient corresponding to the target key node exceeds the preset standard deviation reference value, the standard deviation reference value and the standard deviation of the maximum construction error correction coefficient are used to perform ratio processing to obtain the standard deviation ratio parameter.

[0100] The ratio of the sensitivity intensity coefficient to the intensity coefficient threshold of the target key node is used to obtain the intensity coefficient ratio parameter corresponding to each target key node;

[0101] Target critical nodes with strength coefficient ratio parameters greater than standard deviation ratio parameters are designated as first-priority critical nodes;

[0102] Target critical nodes whose strength coefficient ratio parameter is less than or equal to the standard deviation ratio parameter are designated as secondary priority critical nodes;

[0103] When the standard deviation of the maximum construction error correction coefficient corresponding to the target key node does not exceed the preset standard deviation reference value, all target key nodes are regarded as first-level priority key nodes.

[0104] The technical effects of the above solution are as follows: By further prioritizing critical nodes whose sensitivity coefficients exceed the threshold, the importance of different critical nodes can be determined more accurately. More resources can be invested in first-priority critical nodes, such as higher-quality materials, more professional construction personnel, and more management effort; second-priority critical nodes require relatively less resource investment, achieving refined resource allocation, improving resource utilization efficiency, and avoiding resource waste. Different levels of quality control measures can be adopted for critical nodes of different priorities. First-priority critical nodes, as the most important, can undergo stricter quality inspection and supervision, with more quality control points set; the quality control of second-priority critical nodes is less stringent. This effectively ensures the overall construction quality, especially ensuring that the quality of the critical nodes that have the greatest impact on the project meets the standards. After clarifying the different priorities of critical nodes, the construction sequence and schedule can be arranged according to the priority. Priority is given to ensuring the timely completion of first-priority critical nodes to ensure that the overall project progress is not affected by delays in important nodes on the critical path; the progress management of second-priority critical nodes is relatively flexible. This helps to rationally arrange the construction schedule and reduce the risk of project delays. This priority determination method comprehensively considers factors such as the sensitivity coefficient and the standard deviation of the maximum construction error correction coefficient. The sensitivity intensity coefficient reflects the comprehensive importance of key nodes in terms of functional requirements and construction phases; the standard deviation of the maximum construction error correction coefficient reflects the error fluctuations during construction. Combining these factors allows for a comprehensive and accurate assessment of the importance of key nodes, making prioritization more scientific and reasonable, and better reflecting the actual situation compared to single-factor determination. Different processing methods are applied based on the comparison results of the standard deviation of the maximum construction error correction coefficient with a preset reference value, adapting to different construction scenarios and conditions. When the standard deviation exceeds the reference value, priority is further determined by comparing ratio parameters; otherwise, the node is directly set as a first-level priority. This method dynamically adjusts the priority determination rules based on error fluctuations during construction, making priority division more closely aligned with actual construction conditions and ensuring efficient project progress under various circumstances. This prioritization method clearly distinguishes the first-level priority key nodes with the greatest impact on the project, allowing the project team to concentrate its main efforts and resources on these nodes, grasp the core of project implementation, ensure the achievement of key project objectives, and effectively improve the overall performance and efficiency of the project.

[0105] In the above embodiments, the real-time synchronization function between the BIM platform and construction progress data makes project management more transparent. By binding material arrival times, personnel allocation plans, and 3D models, resource requirements at different construction stages can be dynamically simulated, optimizing supply chain management. For example, when the prefabrication of a certain module is delayed, the system automatically adjusts the subsequent assembly sequence to avoid schedule delays caused by material shortages.

[0106] In the above embodiments, the BIM model provides a basic data framework for subsequent CFD simulation and AR construction guidance. For example, the precise geometric dimensions in the model can be directly imported into the CFD software as the boundary of the computational domain, ensuring the accuracy of airflow simulation; at the same time, the AR device can guide workers to install according to standards in real time on site by calling the component parameters in the model (such as the thickness of the color steel plate and the flange specifications), reducing human error and improving the one-time molding rate of the laboratory enclosure system.

[0107] Construction preparation methods include:

[0108] Based on the laboratory's spatial layout, air vent distribution, and equipment location, an aerodynamic model is constructed. Supply and exhaust air parameters are input, and CFD computational fluid dynamics technology is used to simulate the laboratory's internal supply and exhaust air system in multiple scenarios. The simulation includes airflow under normal operating conditions, accident conditions, and extreme operating conditions. Supply and exhaust air parameters include wind speed, air volume, temperature, and humidity.

[0109] Based on the laboratory's operational needs, boundary conditions were set for different operating conditions, including personnel entry and exit, equipment operation, distribution of different pollution sources, and accident status. The airflow path, pressure distribution, and pollutant control effects under each operating condition were compared.

[0110] By the mass conservation of fluids:

[0111] , where ρ is the fluid density and v is the fluid velocity vector;

[0112] Momentum equation

[0113] Where p is pressure, τ is shear stress tensor, and g is gravitational acceleration;

[0114] and pollutant diffusion models

[0115] Where c is the pollutant concentration, D is the diffusion coefficient, and S is the source term result, which is used for CFD simulation to calculate the airflow velocity field, pressure distribution and pollutant diffusion, and to identify possible short-circuit loops, eddy regions and stagnant regions.

[0116] Based on the airflow simulation analysis results, and by applying the principle of fluid momentum conservation:

[0117] , where p is pressure, τ is shear stress tensor, and g is gravitational acceleration.

[0118] Turbulent kinetic energy equation:

[0119] and the equation for turbulent kinetic energy dissipation rate

[0120] Where k is the turbulent kinetic energy, It is the turbulent kinetic energy dissipation rate.

[0121] It is the term that generates turbulent kinetic energy. and These are model constants. The position, number, and size of the air supply and exhaust vents are adjusted to comply with the directional airflow design principles of a Level 3 biosafety laboratory, avoid airflow conflicts, and dynamically adjust the air supply vent angle and wind speed parameters.

[0122] In the above embodiments, CFD-based multi-scenario airflow simulation technology provides a scientific basis for the design and safety verification of airflow organization in laboratories. By constructing aerodynamic models and simulating different operating conditions (such as equipment failure and personnel entry and exit), the robustness of the supply and exhaust ventilation system can be comprehensively evaluated. CFD simulation accurately identifies vortex and stagnant zones by quantitatively analyzing the airflow velocity field and pressure distribution, reducing the cost of physical experiments. Traditional laboratories need to repeatedly verify airflow organization through smoke tests, which takes up to several weeks and poses safety hazards; while CFD simulation can complete the full-condition analysis within 48 hours, saving costs. At the same time, simulation data can directly guide the opening positions of prefabricated supply and exhaust ventilation boxes in the factory, keeping the on-site installation error within ±2mm and avoiding secondary cutting due to dimensional deviations.

[0123] During construction, the application of AR technology provides construction personnel with powerful on-site guidance and assistance. Specifically, construction personnel use mobile devices (such as AR glasses, tablets, and smartphones) to load a 3D model of the laboratory. AR recognition scans the construction site environment, collecting data on the building structure, installed components, and construction progress, and then matches this data with the 3D model in real time. Based on the matching results, the system automatically adjusts the model's scale, angle, and coordinates to ensure precise alignment between the virtual model and the actual construction environment. This allows construction personnel to view the overlay effect of virtual components on-site in real time. When deviations occur between the construction progress and the model plan, the system automatically adjusts the assembly logic of subsequent models based on real-time collected on-site data, ensuring smooth construction. Furthermore, AR technology can also be used for the comprehensive layout of laboratory equipment and furniture. In the early stages of construction, AR devices can place virtual equipment and furniture models onto the actual construction site, allowing the owner to more intuitively understand the final state of the laboratory. This not only helps the owner better participate in design and planning but also allows for the early identification of potential layout problems, enabling timely adjustments and avoiding rework and waste during later construction. This improves construction efficiency and quality, enhancing the owner's confidence and satisfaction with the construction process and results.

[0124] Construction preparation methods include:

[0125] During the construction process, construction workers used mobile devices to load the laboratory's 3D model. These mobile devices included AR glasses, tablets, and smartphones.

[0126] Mobile devices use AR recognition to scan the construction site environment, collect data on building structure, installed components and construction progress, and match the data with the 3D model in real time. Based on the matching results, the scale, angle and coordinates of the model are adjusted to make the virtual model accurately aligned with the actual construction environment.

[0127] Construction workers use mobile devices (such as AR glasses, tablets, or smartphones) to load a 3D BIM model from the laboratory. Through AR recognition, they scan the construction site environment, collecting data on the building structure, installed components, and construction progress. This data is then matched with the BIM model in real time. Based on the matching results, the system automatically adjusts the model's scale, angle, and coordinates to ensure precise alignment between the virtual model and the actual construction environment. Construction workers can view the overlay effect of virtual components on-site in real time. When construction progress deviates from the model plan, the system automatically adjusts the assembly logic of subsequent models based on the real-time collected site data to ensure smooth construction.

[0128] Furthermore, AR technology can also be used for the comprehensive layout of laboratory equipment and furniture. In the early stages of construction, virtual models of equipment and furniture can be placed on the actual construction site using AR devices, allowing the owner to intuitively understand the final state of the laboratory, identify potential layout problems in advance, and make timely adjustments to avoid rework and waste during later construction, thereby improving construction efficiency and quality.

[0129] Prepare the BIM model: Create a 3D model of the laboratory using BIM software (such as Revit, ArchiCAD, etc.) and export it to an AR-compatible format (such as IFC, RVT, FBX, etc.). Select an AR device: Equip a mobile device with AR capabilities (such as AR glasses, tablets, or smartphones). Install construction management software that integrates BIM and AR: For example, "Onesight AR Construction Assistant" or "Onesight BIM+AR series software," and import the BIM model. On-site positioning and matching: Post QR codes on the construction site. Use AR devices to scan the QR codes for initial positioning, and use SLAM technology to capture environmental feature points, accurately aligning the BIM model with the real environment. Construction guidance and management: Construction personnel can view the overlay effect of virtual components and the real scene in real time using AR devices to guide construction operations. The system automatically adjusts the model's assembly logic based on real-time collected construction data to ensure that the construction progress is consistent with the plan. Lightweight model processing: Lightweight the BIM model to improve the loading speed and display effect of AR devices. Through the methods described above, AR technology can effectively improve construction efficiency and quality, while helping owners to more intuitively understand the construction status of the laboratory, enhancing their confidence and satisfaction with the construction process and results.

[0130] During construction, mobile devices display 3D models of key construction nodes to construction personnel in real time and overlay virtual information, including component dimensions, installation sequence, and process requirements, according to the construction stage and tasks.

[0131] During construction, mobile devices continuously collect operational data from construction workers and dynamically adjust the 3D model and virtual information displayed by AR based on the on-site progress.

[0132] In the above embodiments, by loading a 3D model using AR glasses or a tablet, construction workers can view the effect of virtual components superimposed on the real scene in real time on site. For example, during the installation of color steel plate wall panels, the AR system automatically projects the positioning line and bolt hole position of the next wall panel by recognizing the installed U-shaped trench, which improves the installation efficiency by 35% and reduces the verticality deviation from the traditional ±5mm to ±1.5mm.

[0133] In the above embodiments, the AR system has a dynamic correction function. When the construction progress deviates from the model plan (such as a module being delayed in delivery), the system can automatically adjust the assembly logic of the subsequent model based on real-time collected on-site data (such as the dimensions of completed areas and the temporary placement of equipment). For example, in a certain project, due to the delay in the transportation of ceiling panels, the AR system replanned the laying sequence of the PVC roll flooring, ensuring that the overall construction period was not affected. In addition, AR can also record worker operation data through gesture recognition and voice commands for subsequent quality traceability. For example, if a worker does not inject sealant according to specifications, the system immediately triggers an alert and pushes a video of the correct operation, reducing the construction error rate by 90%. At the same time, AR demonstrates key processes (such as the aluminum frame connection and the rounded edge) through 3D animation, shortening the training cycle and saving rework costs.

[0134] Please see Figure 2 The construction process includes:

[0135] Measure the construction site and calculate the processing dimensions of the panels. Install the aluminum alloy floor trough, ensuring that the U-shaped aluminum trough is tightly connected to the ground. Fix the lifting aluminum trough to the U-shaped aluminum trough. Install the color steel plate wall panels in the order of numbering and reliably connect them to the civil structure. Use the Chinese-style aluminum connecting wall panels and seal them.

[0136] In the above embodiments, precise installation of the color steel plate enclosure system was ensured by measuring the construction site and calculating the processing dimensions of the panels. Using aluminum alloy ground channels as a fixing benchmark effectively guarantees the installation accuracy of the wall panels. The tight connection between the U-shaped aluminum channels and the ground enhances the stability of the overall structure and reduces installation errors caused by uneven ground. Furthermore, the fixing method of the lifting aluminum channels and U-shaped aluminum channels makes the installation of the wall panels more flexible, allowing for fine-tuning according to construction needs and improving the tightness of the splicing. The wall panels are installed in numerical order and spliced ​​using Chinese-style aluminum connectors, ensuring standardized installation and sealing. The use of sealant further improves the airtightness of the enclosure system, reducing the risk of contaminant leakage inside the laboratory and meeting the stringent requirements of a biosafety level 3 laboratory.

[0137] Determine the ceiling elevation line and suspension rod positions, install the suspension rods and inspect the hanging components, install the color steel plate ceiling and connect it to the color steel plate wall panels through connectors, and clean and seal the joints after installation.

[0138] In the above embodiments, the use of high-precision measuring instruments for calibration helps avoid construction errors and improves the flatness of the ceiling. During the installation of the suspension rods, construction personnel strictly follow the preset spacing and stress calculations for placement, and inspect the suspension components to ensure that the load-bearing capacity meets safety requirements. During the installation of the ceiling panels, they are tightly connected to the wall panels using connectors, avoiding gaps between the ceiling and the enclosure structure and improving overall sealing. After the ceiling construction is completed, construction personnel clean and apply sealant to the panel seams to enhance airtightness and antibacterial protection. The efficient construction process and precise construction methods not only improve construction efficiency but also reduce rework rates, ensuring the airtightness and long-term stability of the biosafety laboratory.

[0139] During the wall panel assembly, door and window frames are installed simultaneously, airtight doors and pass-through windows are installed, holes for biosafety pass-through windows are reserved, aluminum alloy external and internal corner fittings are installed, sealant is applied at the connection between the door and window frames and the structure, as well as at the glass installation points, and airtightness testing equipment is used to test the airtightness of the doors and windows.

[0140] Pipes pass through the walls and switches, sockets, and light fixtures are installed.

[0141] In the above embodiment, at the connection points between the door and window frames and the structure, as well as in the glass installation area, construction personnel strictly adhered to the sealing standards of biosafety laboratories when applying sealant. High-performance sealant was used to fill gaps to prevent gas leakage. After construction, airtightness testing equipment was used to conduct a rigorous airtightness test on the doors and windows to ensure pressure differential control and biosafety protection effectiveness within the laboratory. This construction method not only improves the laboratory's sealing performance but also reduces maintenance costs, ensuring the long-term stable operation of the laboratory.

[0142] After leveling the ground, an interface treatment agent is applied, the PVC roll flooring is pre-treated and cut, glue is applied, the PVC roll flooring is laid and rolled with rollers, the joints of the PVC roll flooring are welded, and the junction between the ground and the wall is rounded. During the construction of the PVC roll flooring, a digital ground flatness detection device is used to detect the flatness of the ground leveling layer and the self-leveling layer in real time.

[0143] In the above embodiments, after leveling the ground, applying an interface treatment agent enhances the adhesion between the ground and the PVC roll material, preventing bulging or detachment. The PVC roll flooring undergoes pretreatment and precise cutting before installation to ensure tight joints. During construction, high-strength environmentally friendly adhesive is applied evenly and rolled with rollers to ensure a close bond between the PVC roll material and the ground. The floor joints are welded to create a seamless surface, improving wear resistance and waterproofing. Furthermore, digital ground flatness testing equipment is used during construction to monitor the flatness of the leveling layer and self-leveling layer in real time, ensuring the final floor flatness meets laboratory standards. This optimized construction process effectively improves the durability and airtightness of the floor, reduces the risk of bacterial growth, and meets the high standards of biosafety laboratories.

[0144] Drill holes in the cleanroom ceiling according to the dimensions, install and fix the high-efficiency air supply and exhaust vent housings, install diffusers, and perform leak testing on the high-efficiency filters.

[0145] The construction process includes: cutting pre-reserved holes for wall panels exceeding 20cm in the factory based on the BIM-built laboratory 3D model; delivering the cut panels to the site; simultaneously installing door frames, window frames, and aluminum alloy protective frames for air supply and exhaust vents during wall panel assembly; applying sealant at the connection points between door and window frames and the structure, and at glass installation points; installing and fixing high-efficiency air supply and exhaust vent housings with sealant; filling gaps between the housings and the ceiling with filler material; installing diffusers and performing leak testing on high-efficiency filters; and using airtightness testing equipment to test the airtightness of door and window and pipeline penetration sealing devices.

[0146] This approach improves construction precision. Cutting pre-drilled holes exceeding 20cm in the wall panels within the factory, using specialized equipment and tools, ensures accurate cutting dimensions, reduces on-site processing errors, and results in more precise and seamless installation of the wall panels with door frames, window frames, and aluminum alloy protective frames for air vents. It also enhances construction efficiency. Factory-based wall panel cutting fully utilizes the factory's production capacity and manpower, enabling batch processing and saving on-site construction time and labor. Simultaneously, the installation of related components during wall panel assembly optimizes the construction process, reduces the time spent between procedures, and further improves overall construction efficiency. Furthermore, it enhances construction quality: the combination of factory cutting and on-site assembly helps improve the stability and reliability of construction quality. Factory-cut wall panels offer easier quality control, ensuring better installation quality of door and window frames, as well as the effectiveness of caulking and sealing treatments during on-site installation, thereby improving the airtightness and safety of the entire laboratory enclosure system. This reduces on-site construction interference: A large amount of cutting work is completed in the factory, reducing the complexity and interference of on-site construction, decreasing the workload and time spent by construction workers on-site, helping to reduce environmental pollution such as noise and dust, and improving construction safety. It also solves the problem of insufficient on-site cutting precision. In traditional construction, the cutting of pre-reserved holes in wall panels is mostly done on-site. Due to site conditions, cutting precision is difficult to guarantee, easily leading to dimensional deviations, uneven edges, and other problems, affecting the installation of subsequent components and the overall construction quality. This method effectively solves this problem by cutting in the factory. Traditional on-site construction is inefficient; separating on-site cutting and installation work leads to cumbersome construction processes, poor workflow coordination, and a waste of time and manpower. On-site construction quality is generally unstable due to the complex on-site environment and varying skill levels of personnel, easily causing fluctuations in construction quality. Combining factory cutting with on-site assembly construction allows for better control of construction quality, reducing quality problems caused by human factors and on-site environmental factors, and ensuring that the quality of the laboratory enclosure system meets high standards. Furthermore, it also solves the problem of on-site construction environmental pollution. On-site cutting operations generate a large amount of dust, noise, and other pollutants, which have an adverse impact on the construction environment and surrounding areas. Transferring the cutting work to the factory can significantly reduce on-site environmental pollution, which is in line with the concept of green construction.

[0147] Furthermore, the construction process includes: selecting appropriate pipe penetration sealing devices and installation methods based on the specific needs of the project, environmental conditions, and the specifications and quantity of cables and pipes; after installation, conducting sealing checks and tests to ensure that cables and pipes meet the required water tightness and air tightness requirements during penetration; reserving holes for biosafety transfer windows and electromechanical pipeline penetration holes; applying sealant at the connection between door / window frames and the structure, at glass installation locations, and at pipe penetration points; and using air tightness testing equipment to test the air tightness of door / window and pipe penetration sealing devices. The construction process includes: selecting appropriate pipe penetration sealing devices and installation methods based on the specific needs of the project, environmental conditions, and the specifications and quantity of cables and pipes; after installation, conducting sealing checks and tests to ensure that cables and pipes meet the required watertightness and airtightness requirements during penetration; reserving holes for biosafety transfer windows and electromechanical pipeline penetrations; applying sealant at the connection points between door / window frames and the structure, glass installation points, and pipe penetration points; and using airtightness testing equipment to test the airtightness of door / window and pipe penetration sealing devices. This embodiment addresses the problem of insufficient sealing performance in traditional construction due to the lack of specificity in the selection and installation of pipe penetration sealing devices, which fails to meet the stringent airtightness and watertightness requirements of a biosafety level 3 laboratory. By selecting appropriate pipe penetration sealing devices and installation methods based on specific needs, environmental conditions, and the specifications and quantity of cables and pipes, and conducting sealing checks and tests, the required watertightness and airtightness requirements of cables and pipes during penetration are ensured, improving the overall sealing performance and biosafety of the laboratory.

[0148] In the above embodiments, the high-efficiency air supply and exhaust outlet housing is fixed with a vibration-resistant design to reduce the impact of duct vibration on the laboratory environment. After the air supply and exhaust outlets are installed, the construction personnel strictly follow the technical standards to install the diffusers and perform leak testing on the high-efficiency filters to ensure the integrity and sealing of the filters. The use of high-efficiency filter leak testing technology allows for the precise detection of even minute leaks, enabling timely repair and ensuring that the airflow organization in the laboratory meets biosafety requirements. The optimized air supply and exhaust system installation method significantly improves air circulation efficiency, reduces airflow short-circuiting and dead zones, and makes the internal laboratory environment safer and more reliable.

[0149] After the construction unit completes the adjustments and tests, a comprehensive performance test and evaluation of the Level 3 Biosafety Laboratory project will be carried out; for Class a and Class b1 laboratories of BSL-3 and ABSL-3, visual inspection and smoke analysis will be used to check the gaps and joints of the laboratory enclosure structure.

[0150] In the above embodiments, for BSL-3 and ABSL-3 laboratories, visual inspection can initially identify obvious installation defects, while the smoke test can accurately detect air leaks, ensuring that the negative pressure environment inside the laboratory meets biosafety protection requirements. In addition, construction personnel also conducted comprehensive tests on the ventilation system, door and window sealing, and the overall airtightness of the enclosure structure, and issued detailed test reports. This rigorous airtightness testing scheme effectively ensures that the laboratory's airtightness meets design standards, reduces the risk of contamination during laboratory operation, and provides a guarantee for the long-term stable operation of the laboratory.

[0151] For pre-reserved holes in wall panels smaller than 20cm, on-site manual cutting can be used. The specific steps are as follows: Measurement and Marking: Based on the construction drawings and actual construction needs, use high-precision measuring tools (such as laser rangefinders, steel rulers, etc.) to accurately measure and mark the positions of the pre-reserved holes in the wall panels, ensuring that the position and size of the holes meet the design requirements. Cutting: Use manual cutting tools (such as handheld cutting machines, hand saws, etc.) to cut according to the marked dimensions. During cutting, care should be taken to keep the cut lines straight and smooth, minimizing cutting errors. Trimming and Cleaning: After cutting, trim the edges of the holes, removing burrs and uneven parts to make the edges neat and smooth. At the same time, clean up the debris and waste generated during cutting, keeping the construction site clean. Installation and Sealing: Install the pipes or equipment that need to pass through, and then seal around the holes. Sealant, gaskets, or other materials can be used to ensure a tight seal between the hole and the pipes or equipment, preventing air leakage. This method can meet the construction requirements for pre-reserved holes in wall panels smaller than 20cm, while ensuring construction quality and efficiency.

[0152] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A construction method for a biosafety level 3 laboratory enclosure system using color steel panels, characterized in that: include: The construction preparation method and construction process include: designing a construction plan; constructing a 3D model of the laboratory using BIM to present the location and direction of equipment and pipelines; retrieving the weight of the construction stage and the sensitivity of corresponding functional requirements during modeling and setting a sensitivity intensity coefficient; prioritizing key nodes whose sensitivity intensity coefficient exceeds a preset intensity coefficient threshold and refining the processing according to the priority of the key nodes; simulating and analyzing airflow organization using CFD to obtain airflow direction, velocity, and pressure distribution data; and using AR for on-site positioning and guidance during construction. This involves prioritizing key nodes and refining the processing according to their respective priorities, including: The weight of the construction stage corresponding to each key node is retrieved from the aforementioned laboratory functional requirements and construction site data. Retrieve the sensitivity of the functional requirements corresponding to each key node; A sensitivity intensity coefficient is set by utilizing the sensitivity of the functional requirements corresponding to each key node and the weight of its construction stage. The sensitivity intensity coefficient is compared with a preset intensity coefficient threshold. Key nodes whose sensitivity intensity coefficient does not exceed the preset intensity coefficient threshold are designated as third-level priority key nodes; Prioritize key nodes whose sensitivity intensity coefficient exceeds a preset intensity coefficient threshold; Specifically, key nodes whose sensitivity intensity coefficient exceeds a preset intensity coefficient threshold are prioritized, including: The key nodes whose sensitivity intensity coefficient exceeds the preset intensity coefficient threshold are designated as target key nodes; Extract the maximum allowable construction error correction coefficient during the construction process corresponding to the target key node; The standard deviation of the maximum construction error correction coefficient corresponding to the target key node is obtained based on the maximum construction error correction coefficient allowed during the construction process. Compare the standard deviation of the maximum construction error correction coefficient corresponding to the target key node with the preset standard deviation reference value; When the standard deviation of the maximum construction error correction coefficient corresponding to the target key node exceeds the preset standard deviation reference value, the standard deviation reference value and the standard deviation of the maximum construction error correction coefficient are used to perform ratio processing to obtain the standard deviation ratio parameter. The ratio of the sensitivity intensity coefficient to the intensity coefficient threshold of the target key node is used to obtain the intensity coefficient ratio parameter corresponding to each target key node; Target critical nodes with strength coefficient ratio parameters greater than standard deviation ratio parameters are designated as first-priority critical nodes; Target critical nodes whose strength coefficient ratio parameter is less than or equal to the standard deviation ratio parameter are designated as secondary priority critical nodes; When the standard deviation of the maximum construction error correction coefficient corresponding to the target key node does not exceed the preset standard deviation reference value, all target key nodes are regarded as first-level priority key nodes. The construction plan is optimized through construction preparation methods, which specifically include: establishing a three-dimensional model of the laboratory through BIM, collecting construction progress data of the construction site through the BIM platform, adjusting the three-dimensional model according to the dynamic changes in the construction progress, displaying the three-dimensional model of key construction nodes in real time through mobile devices, constructing an aerodynamic model to simulate the internal air supply and exhaust system of the laboratory in multiple scenarios, and adjusting the air supply and exhaust vents based on the simulation. Based on the aforementioned construction process, the following procedures are performed: construction of the trench and wall panels, ceiling construction, PVC roll flooring construction, door and window installation, installation of pipe penetration sealing devices, installation of air supply and exhaust vents, and airtightness testing. Specifically, the construction process includes: measuring and calculating processing dimensions and installing aluminum alloy trenches; determining suspension points and installing suspension rods and color steel plate ceilings; laying and welding PVC roll flooring and performing rounded treatment; selecting and installing appropriate pipe penetration sealing devices and installation methods based on the specific project requirements, environmental conditions, and the specifications and quantity of cables and pipes; cutting wall panels based on a laboratory 3D model and installing door frames, window frames, and air supply and exhaust vents; installing diffusers, performing leak testing on high-efficiency filters, and conducting airtightness testing.

2. The construction method of the color steel plate enclosure system for a biosafety level 3 laboratory as described in claim 1, characterized in that, Construction preparation methods include: The three-dimensional model includes the various functional areas of the laboratory, the color steel plate enclosure structure, equipment and pipelines, and the accuracy of the three-dimensional model reaches LOD400. During the modeling process, based on the laboratory functional requirements and construction site data, key nodes are refined. These key nodes include pipeline intersections and equipment installation areas. Component parameters and construction process requirements are associated in the 3D model. The construction progress data includes construction progress, personnel allocation, and material arrival status. The three-dimensional model is synchronized with the construction progress data in real time.

3. The construction method of the color steel plate enclosure system for a biosafety level 3 laboratory as described in claim 2, characterized in that, Construction preparation methods include: Based on the laboratory's spatial layout, air vent distribution, and equipment location, the supply and exhaust air parameters are input into the aerodynamic model. The laboratory's internal supply and exhaust air system is simulated in multiple scenarios using CFD computational fluid dynamics technology. The multiple scenario simulations include the spatial layout of the supply and exhaust air vents, normal operation, accident conditions, and airflow under extreme conditions. The supply and exhaust air parameters include wind speed, air volume, temperature, and humidity. Based on the laboratory's operational needs, boundary conditions were set for different operating conditions, including personnel entry and exit, equipment operation, distribution of different pollution sources, and accident status. The airflow path, pressure distribution, and pollutant control effect under each operating condition were compared. CFD simulations were used to calculate the airflow velocity field, pressure distribution, and pollutant diffusion to identify potential short-circuit cycles, eddy regions, and stagnant zones. Based on the results of airflow simulation analysis, the position, number and size of the air supply and exhaust outlets are adjusted to comply with the directional airflow design principles of a biosafety level 3 laboratory, avoid airflow conflicts, and dynamically adjust the air supply outlet angle and wind speed parameters. During the construction process, construction workers used mobile devices to load the laboratory's 3D model. These mobile devices included AR glasses, tablets, and smartphones. The mobile device uses AR recognition to scan the construction site environment, collect data on building structure, installed components and construction progress, and matches the data with the 3D model in real time. Based on the matching results, the scale, angle and coordinates of the model are adjusted to make the virtual model accurately aligned with the actual construction environment. During construction, mobile devices display 3D models of key construction nodes and overlay virtual information to construction personnel in real time, based on the construction stage and tasks. The virtual information includes component dimensions, installation sequence, and process requirements. During construction, mobile devices continuously collect operational data from construction personnel and dynamically adjust the AR-displayed 3D models and virtual information in conjunction with the on-site progress.

4. The construction method of the color steel plate enclosure system for a biosafety level 3 laboratory as described in claim 3, characterized in that, The construction process includes: measuring the construction site and calculating the processing dimensions of the panels, installing aluminum alloy ground channels, ensuring that the U-shaped aluminum channels are tightly connected to the ground, fixing the lifting aluminum channels to the U-shaped aluminum channels, installing the wall panels in numerical order and reliably connecting them to the civil structure, and using Chinese-style aluminum connecting panels and sealing them. Determine the ceiling elevation line and hanger positions, install the hangers and inspect the hanging components, install the color steel plate ceiling and connect it to the wall panels through connectors, and clean and seal the joints after installation.

5. The construction method of the color steel plate enclosure system for a biosafety level 3 laboratory as described in claim 4, characterized in that: The construction process includes: applying an interface treatment agent after leveling the ground, pre-treating and cutting the PVC roll flooring, applying glue and laying the PVC roll flooring and rolling it with a pressure roller, welding the joints of the PVC roll flooring and rounding the junction between the ground and the wall. During the construction of PVC roll flooring, digital floor flatness testing equipment is used to detect the flatness of the floor leveling layer and self-leveling layer in real time.

6. The construction method of the color steel plate enclosure system for a biosafety level 3 laboratory as described in claim 5, characterized in that, The construction process includes: cutting pre-reserved holes for wall panels exceeding 20cm in the factory based on the BIM-built laboratory 3D model; delivering the cut panels to the site; simultaneously installing door frames, window frames, and aluminum alloy protective frames for air supply and exhaust vents during wall panel assembly; applying sealant at the connection points between door and window frames and the structure, and at glass installation points; installing and securing high-efficiency air supply and exhaust vent housings with sealant; filling gaps between the housings and the ceiling with filler material; and using airtightness testing equipment to test the airtightness of door, window, and pipe penetration sealing devices.

7. The construction method of the color steel plate enclosure system for a biosafety level 3 laboratory as described in claim 6, characterized in that, The construction process includes: after the pipelines are installed through the wall, a sealing inspection and test are conducted to ensure that the cables and pipes meet the required water tightness and air tightness requirements during the penetration process; pre-reserve holes for biosafety transfer windows and electromechanical pipelines through the wall, and apply sealant at the connection between the door and window frames and the structure, the glass installation points, and the pipeline penetration points; use air tightness testing equipment to test the air tightness of the door and window and pipeline penetration sealing devices. The construction process also includes: after the construction unit completes the adjustment and testing, a comprehensive performance test and evaluation of the Level 3 Biosafety Laboratory project is conducted; for BSL-3 and ABSL-3 Class a and Class b laboratories, visual inspection and smoke method are used to check the gaps and joints of the laboratory enclosure structure.

8. The construction method of the color steel plate enclosure system for a biosafety level 3 laboratory as described in claim 3, characterized in that, Based on the mass conservation principle of fluids: ,in, ρ Here, ρ is the fluid density, and v is the fluid velocity vector; the momentum equation. ,in, p It's pressure. τ It is the shear stress tensor, where t represents time and g is the gravitational acceleration; and the pollutant diffusion model. The result, among which, c It refers to the concentration of pollutants. D It is the diffusion coefficient. S The source term uses CFD simulation to calculate the airflow velocity field, pressure distribution, and pollutant diffusion, and identifies possible short-circuit cycles, eddy regions, and stagnant regions. Based on the airflow simulation analysis results, and by applying the principle of fluid momentum conservation: ,in p It's pressure. τ Here, g is the shear stress tensor, g is the acceleration due to gravity, and the turbulent kinetic energy equation is: and the equation for turbulent kinetic energy dissipation rate in, k It is turbulent kinetic energy. It is the turbulent kinetic energy dissipation rate. It is the term that generates turbulent kinetic energy. and These are model constants. The position, number, and size of the air supply and exhaust vents are adjusted to comply with the directional airflow design principles of a Level 3 biosafety laboratory, avoid airflow conflicts, and dynamically adjust the air supply vent angle and wind speed parameters.

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