An integrated construction enclosure design method based on smart city construction

Abstract

The present invention discloses an integrated construction enclosure design method based on smart city construction, which relates to the field of enclosure design. The present invention includes collecting geographic information, calibrating environmental sensitive points, loading into BIM for construction simulation, converting the GIS coordinate system in BIM and semantic matching to output a digital baseplate of the construction site containing terrain, buildings, sensitive points and construction plans, obtaining the digital baseplate of the construction site and the modular design of the enclosure: converting the curved boundaries in the terrain into a discretized point set, dynamically selecting the enclosure module size, and then allocating the panels of the enclosure module according to the environmental sensitive points, and finally performing wind load simulation to verify the structural stability; and outputting the final modular design scheme of the enclosure. The present invention enables enclosures to evolve from static isolation facilities to digital enclosures, reducing resident complaints, reducing costs, reducing noise, and reducing dust diffusion.

Description

Technical Field

[0001] The present invention relates to the field of smart city construction site enclosure design, and in particular to an integrated construction enclosure design method based on smart city construction. Background Art

[0002] During the construction process at urban construction sites, various operational activities often generate environmental pollutants such as dust and noise, which have a negative impact on the surrounding environment and residents' lives. However, due to the unreasonable design and layout of the enclosure, a variety of problems have occurred:

[0003] Failure of environmental governance:

[0004] Traditional enclosures often use fixed baffles that can't intelligently adjust their angles based on wind direction, causing dust to escape through gaps. They lack integrated dust sensors and sprinkler systems, and when manual inspections are relied upon, response delays of >2 hours are associated with PM10 exceeding the standard. Furthermore, single-layer metal enclosures offer less than 15dB of sound insulation for low-frequency noise below 100Hz, leading to complaints from residents regarding nighttime construction.

[0005] Escalating conflicts in urban management:

[0006] Data silos prevented connection to urban management and environmental protection platforms, resulting in delayed response to complaints and a lack of AI monitoring, resulting in a violation detection rate of less than 40%;

[0007] Obstacles to technological iteration:

[0008] Pre-buried pipelines are chaotic, requiring the removal of fences to add new equipment. There are no standardized interfaces, making them incompatible with new sensors. Private communication protocols are used, preventing access to the city's IoT platform. The lack of edge computing capabilities prevents the deployment of advanced features such as video analysis.

[0009] Since the design and layout of the enclosure should be reasonably planned in advance, the functional upgrade of the traditional enclosure requires the entire enclosure to be replaced, which results in high renovation costs;

[0010] Therefore, it is urgent to plan a modular enclosure design that can meet the requirements of smart city construction. Summary of the Invention

[0011] The present invention provides an integrated construction enclosure design method based on smart city construction, which solves the problems of the prior art.

[0012] In a first aspect, the present invention provides an integrated construction enclosure design method based on smart city construction, comprising:

[0013] Collecting geographic information, including: obtaining 3D terrain point cloud data of the target construction site area through UAV oblique photography and laser scanning, extracting elevation points to construct a triangulated terrain model, importing the construction site redline map in DXF format, processing the calibration of 3D terrain point cloud data and the construction of the terrain triangulation network through the GIS platform, overlaying satellite remote sensing data and the redline map, and outputting geographic information processing data;

[0014] Calibration of environmentally sensitive points, including GIS-based buffer and viewshed analysis, identification of environmentally sensitive points such as residential areas and schools, and calibration of protection levels, loading of semantic labels, and deployment of monitoring points in accordance with engineering specifications for construction locations. The facade structure of environmentally sensitive points is extracted using calibrated 3D terrain point cloud data.

[0015] Loading BIM for construction simulation includes: lightweighting the BIM model, converting the BIM model into a presentation model through subtraction and polygon merging, and integrating drone oblique photography and laser scanning data into the GIS platform through the Revit / CATIA model.

[0016] The BIM involves GIS coordinate system conversion and semantic matching to output a digital base plate of the construction site containing terrain, buildings, sensitive points and construction plans, and obtains a modular design of the digital base plate of the construction site and enclosures, including: extracting entity triples based on semantic matching with IFC standard building data and CityGML standard geographic location data information, splitting the triples into entities and relationships, clustering entity vectors representing semantic information in the low-order vector space of the entity part conversion, calculating the similarity of the IFC and CityGML ontology fusion matching, iteratively clustering the entity vectors using k-means clustering, traversing entity information including dimensions and coordinates, supplementing the data information of entities and relationships through geometric reconstruction, obtaining the mapping of IFC standard entities to CityGML standard entities, calculating the similarity of IFC and CityGML entities based on the word vector hashing algorithm, and automatically associating data with a matching threshold greater than a preset 0.85; Use RDF to declare the geometric properties of BIM entities, then define conversion rules, and finally perform the conversion and generate new triples to convert the coordinate system of the BIM model. The coordinates, conversion parameters, and entity relationships are expressed as a machine-readable semantic network. Specifically: Input the coordinate system of the enclosure module designed by Revit in the BIM model, input the global coordinates in GIS, input the coordinate conversion parameters, and input the entity semantic relationship of the mapping from the IFC standard entity to the CityGML standard entity; input the rotation matrix, translation vector, scale factor, and preset ellipsoid parameters obtained based on the ground control points of the target construction site area; output the converted global coordinates and the RDF graph that retains the semantic association, that is, obtain the digital base plate and enclosure modular design of the construction site;

[0017] The curved boundaries in the terrain are converted into discretized point sets, the enclosure module sizes are dynamically selected, and then the enclosure module panels are allocated according to environmentally sensitive points. Finally, a wind load simulation is performed to verify the structural stability. This also includes a digital twin preview of the enclosure modular design scheme. The specific steps are as follows:

[0018] Through the simulation of dust diffusion and noise propagation physical fields, the pollution leakage in the enclosure gap is simulated, and then the equipment interaction in the entire construction process is simulated. The BIM+GIS model is loaded into the virtual scene to manually verify the feasibility of enclosure construction, maintenance and emergency response.

[0019] Modular design scheme of output enclosure.

[0020] In a second aspect, the present invention provides a fence, which is implemented using any design method as described in the first aspect and includes a fence body, a monitoring module, a spray module, an explosion-proof positioning lighting module and a warning real-time display screen module.

[0021] Preferably, when the noise frequency type corresponding to the environmental sensitive point is low-frequency noise, the enclosure material and the enclosure partition shape of the enclosure body are set to louver steel plate material and multiple conical sound absorption structure, wherein the multiple conical sound absorption structure includes a conical raised panel, the panel is composed of multiple conical raised units, the cone bevel is a dense material, such as metal or high-density composite material, the bottom edge is a micro-perforated structure, the pore size is less than 1mm, the perforation rate is more than 20%, and the internal material is layered as follows: Sound absorption material layer: porous sound absorption material, such as glass fiber, rock wool, is laid close to the panel, with a thickness of usually 5-10cm, which is used to convert sound energy into heat energy through friction; Cavity layer: an irregular cavity is reserved behind the sound absorption material, and the depth is adjusted according to the target frequency band. Generally, it is 5-30cm, which enhances the low-frequency resonance absorption; the backboard adopts rigid sealing materials, such as steel plates or gypsum boards, which limit the sound wave energy inside the structure to avoid transmission loss. The function of the conical structure is to guide the sound waves to reflect and scatter multiple times on the raised slope, extend the sound wave path, increase the contact time with the sound-absorbing material, and realize resonance through micro-perforation: the micro-perforated plate on the bottom edge forms Helmholtz resonance for specific mid- and low-frequency peak absorption, mid- and low-frequency: 500-1000Hz, porous material dissipation: the interconnected pores inside the sound-absorbing material efficiently absorb mid- and high-frequency, mid- and high-frequency: 1k-4kHz, the sound absorption coefficient can reach above 0.8, cavity enhancement: the rear cavity improves the low-frequency performance, and the depth can be adjusted to adapt to different noise reduction needs.

[0022] Preferably, when the noise frequency type corresponding to the environmental sensitive point is broadband noise, the enclosure material and the enclosure partition shape of the enclosure body are set to a composite structure of a point-shaped steel partition and a quadratic residue diffuser.

[0023] Preferably, the enclosure body includes a base and a connecting structure, the connecting structure adopts a column rotation axis structure, and the column between the two enclosures is used to adjust the size of the corner, a single enclosure;

[0024] Preferably, based on the conversion of the curve boundary into a discretized point set, the preset enclosure module size includes a standard plate of 2m×3m, and the enclosure module size can be expanded to 0.5m / 1m supplementary module size;

[0025] The bottom is set as an assembled base with embedded steel structure and mortise and tenon structure, enclosure base frame + quick-release interface, and wind resistance level ≥ level 8.

[0026] The present invention provides an integrated construction enclosure design method based on smart city construction, which enables enclosures to evolve from static isolation facilities to digital enclosures, reducing resident complaint rates, costs, noise, and dust diffusion. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] The drawings described herein are used to provide a further understanding of the embodiments of the present invention, constitute a part of the present invention, and do not constitute a limitation of the embodiments of the present invention. In the drawings:

[0028] Figure 1 A flowchart of an integrated construction enclosure design method based on smart city construction is provided as an exemplary embodiment of the present invention.

[0029] Figure 2 A flowchart of a collapse layout optimization algorithm in an integrated construction enclosure design method based on smart city construction is provided as an exemplary embodiment of the present invention.

[0030] Figure 3 A structural diagram of a quadratic residue diffuser composite structure and a multiple conical sound absorption structure in an integrated construction enclosure design method based on smart city construction provided by an exemplary embodiment of the present invention.

[0031] Figure 4 A schematic diagram of the connection structure and columns in an integrated construction enclosure design method based on smart city construction provided by an exemplary embodiment of the present invention.

[0032] Figure 5 A schematic diagram of fence deployment in an integrated construction fence design method based on smart city construction provided by an exemplary embodiment of the present invention.

[0033] Figure 6 A schematic diagram of fence changes in an integrated construction fence design method based on smart city construction provided by an exemplary embodiment of the present invention.

[0034] In the picture:

[0035] 1. Multiple conical sound absorption structure;

[0036] 2. Quadratic residue diffuser composite structure;

[0037] 3. Connection structure;

[0038] 4. Universal ball joint;

[0039] 5. Pillar. DETAILED DESCRIPTION

[0040] Exemplary embodiments will be described in detail herein, examples of which are illustrated in the accompanying drawings. In the following description, when referring to the drawings, like numbers in different figures represent like or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments are not intended to represent all possible embodiments consistent with the present invention. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present invention, as detailed in the appended claims.

[0041] This invention, based on BIM+GIS preview of enclosure layout, is suitable for matching construction sites with irregular boundaries. Through modular deployment, it forms a systematic enclosure design, allowing each functional panel to be independently upgraded, meeting the iterative evolution needs of smart city infrastructure. It has also reduced the construction complaint rate to the lowest level in the region and obtained certification as a green construction demonstration project from the Ministry of Housing and Urban-Rural Development.

[0042] Construction site fencing has evolved from a simple physical barrier to a dynamic environmental regulator for smart cities. Fences lacking forward-thinking design not only contribute to uncontrolled dust and noise pollution but also transform construction sites into "black holes" within the digital fabric of cities. Only through an iterative modular architecture can we achieve the transition from passive defense to proactive governance and truly integrate into the smart city ecosystem. This represents more than just a technological upgrade; it represents a fundamental shift in infrastructure thinking within the new urbanization process.

[0043] The concept of the present invention adopts the following process logic: GIS provides environmental data → BIM defines functional requirements → collapse algorithm generates layout → digital twin verification → on-site execution feedback optimization; the output of each link must be the input of the next link, forming a PDCA cycle.

[0044] The specific application scenario of the present invention is enclosure design.

[0045] The present invention provides an integrated construction enclosure design method based on smart city construction, which aims to solve the above technical problems of the prior art.

[0046] The following describes in detail the technical solution of the present invention and how the technical solution of the present invention solves the above-mentioned technical problems using specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The following embodiments of the present invention are described in conjunction with the accompanying drawings.

[0047] Example 1:

[0048] The embodiment of the present invention provides an integrated construction enclosure design method based on smart city construction, comprising the following steps: Figure 1 As shown:

[0049] A1. Collect geographic information.

[0050] A2. Calibration of environmentally sensitive points.

[0051] A3. Load BIM for construction simulation.

[0052] BIM involves GIS coordinate system conversion and semantic matching to output the digital baseplate of the construction site including terrain, buildings, sensitive points and construction plans.

[0053] A4. Obtain the modular design of the digital baseplate and enclosure at the construction site:

[0054] A5. Convert the curved boundaries in the terrain into a discretized point set, dynamically select the enclosure module size, then allocate the enclosure module panels according to environmentally sensitive points. Finally, perform wind load simulation to verify the structural stability.

[0055] A6. Output the final enclosure modular design plan.

[0056] Example 2: The algorithm flow specifically implemented based on step A5 of Example 1 is as follows:

[0057] def collapse layout optimization (boundary point set):

[0058] # Step 1: Generate initial mesh

[0059] Base mesh = Voronoi (boundary point set)

[0060] # Step 2: Dynamic Collapse

[0061] While uncovered area > threshold:

[0062] Identify the maximum gap → Select the adapter module (2m / 1m / 0.5m)

[0063] Activate the collapse rule:

[0064] If near a noise source: insert a noise reduction module

[0065] If dust diffusion path: insert spray module

[0066] Update coverage status

[0067] # Step 3: Structure verification

[0068] Perform wind load simulation (wind speed 30m / s)

[0069] Output mechanical weak point reinforcement plan

[0070] return module deployment diagram

[0071] In this embodiment A5, the collapse algorithm is loaded. The rule base example of the collapse algorithm in the present invention is:

[0072] Scene trigger module parameter adjustment

[0073] Distance from residential area <50m Noise reduction panel (angled towards sensitive points) Tilt angle 15°-30°

[0074] Dust-proof greening panels at the downwind side of the dominant wind direction × 2 Plant density increased by 40%

[0075] Muck truck entrance and exit monitoring + spray linkage module trigger threshold PM10 ≥ 80μg / m³

[0076] The enclosure designed in Example 1 includes an enclosure body, a monitoring module, a spray module, an explosion-proof positioning lamp module and a warning real-time display screen module. Figure 3 As shown, the structures of the quadratic residue diffuser composite structure 2 and the multiple cone-shaped sound absorbing structure 1 are shown in FIG.

[0077] When the noise frequency type corresponding to the environmental sensitive point is low-frequency noise, the enclosure material and enclosure partition shape of the enclosure body are set to louver steel plate material and multiple conical sound-absorbing structures. The conical structure has unique advantages in sound absorption. For low-frequency noise, its wavelength is relatively long, and the conical structure can better interact with low-frequency sound waves. When low-frequency sound waves enter the conical structure, the sound waves will be reflected and refracted multiple times on the surface inside the cone. As the shape of the cone gradually changes, the energy of the sound waves will be gradually consumed during the propagation of the sound waves inside the cone. The inside of the cone can be filled with sound-absorbing materials, such as glass fiber, rock wool, etc. When the sound waves propagate inside the cone, they will rub against these sound-absorbing materials, converting the sound energy into heat energy, thereby achieving the absorption of low-frequency noise. Moreover, multiple conical structures combined together can form a more complex acoustic environment, increase the propagation path of the sound waves and the contact area with the sound-absorbing material, and improve the sound absorption effect. Such as Figure 3In the invention, the multiple conical sound-absorbing structures are filled with filling materials inside, such as fan blades laid overlapping downwards, which can achieve the desired effect of the present invention. The porous structure of the louver steel plate is one of the key factors in its ability to effectively handle low-frequency noise. The gaps between the louvers are equivalent to many small sound channels. When low-frequency sound waves enter these channels, complex reflection, refraction and interference phenomena will occur. At the same time, when sound waves propagate in the channels, they will cause vibrations in the air, and the damping effect of the steel plate, so the incomplete filling of the glass fiber material in the multiple conical sound-absorbing structure 1 can make the porous structure of the louver steel plate also be combined with the sound-absorbing material to further improve its control over low-frequency noise. It also includes sound-absorbing cotton and other materials arranged on the rear side of the multiple conical sound-absorbing structure 1, so that the sound waves can be better absorbed after passing through the louvers and entering the sound-absorbing cotton.

[0078] When the noise frequency type corresponding to the environmentally sensitive point is broadband, the enclosure material and partition shape of the enclosure body are configured as a composite structure 2 of point-shaped steel partitions and a quadratic residue diffuser. The design of this structure is based on acoustic principles. A quadratic residue diffuser is a sound diffusion structure with a specific geometric shape that reflects and diffuses incident sound waves in different directions. Its surface exhibits a bumpy pattern, with the size and arrangement of these bumps carefully calculated. When sound waves encounter this structure, they undergo multiple reflections and interference from the bumpy surface. For example, when sound waves of different wavelengths pass through the grooves or bumps of varying depths and spacing, portions of the sound waves are reflected in different directions, reducing concentrated reflection in a specific direction. This diffuses broadband noise, distributes noise energy more evenly across space, and reduces local noise intensity. The quadratic residue diffuser composite structure 2 is constructed by a multi-point configuration, namely, multiple point-shaped steel partitions. The outer surface of the quadratic residue diffuser composite structure 2 has a bumpy surface designed to reflect noise.

[0079] Among them, the enclosure body includes a base and a connecting structure 3, the connecting structure 3 adopts a column 5 rotating axis structure, the column 5 in the middle of the connecting structure 3 of the two enclosures is used to adjust the size of the corner, a single enclosure; for some connecting structures, it is designed to be a collapsible connecting node: the collapsible node of the present invention is set in conjunction with step A6, not all enclosures are equipped with a column 5 structure, and some enclosures are hinged with a universal ball joint 4 of the connecting structure 3, such as Figure 4 As shown; the modular schematic diagram of the spatial expansion of the enclosure is as follows Figure 5 As shown, the enclosure with collapse nodes can adjust the corners between adjacent enclosures, such as Figure 6 As shown, Figure 6 The enclosure with corners is set as a collapsible node.

[0080] Adopting universal ball joint 4+electromagnetic lock (automatically locked when power off);

[0081] Allows adjacent modules to adaptively deflect within the range of ±30°;

[0082] Three collapse modes:

[0083] Mode applicable scene deformation amplitude

[0084] Elastic mode temporary avoidance construction machinery horizontal displacement ≤ 0.5m

[0085] Reorganization mode permanent boundary change module position reconfiguration

[0086] The vertical folding height of the emergency passage in folding mode is ≤1.2m

[0087] The iterative upgrade mechanism of collapse technology at collapsible nodes forms a digital-physical closed loop as follows:

[0088] Field sensor --> Edge gateway --> Cloud platform --> Performance analysis --> BIM model --> Optimization instructions --> Automatic control terminal --> Electromagnetic lock / motor actuator

[0089] This A5 step, by binding the mechanical interface of the physical enclosure with the topological relationship of the digital model, makes each module both an intelligent entity that can operate independently (perception-decision-execution) and an organic part of the overall collapse structure. When the construction site boundary changes, the system drives the module to reorganize like "cell migration", completely solving the pain point of traditional enclosures that are "built but difficult to change". Among them, cell migration is like Figures 5 to 6 process of change.

[0090] Example 2:

[0091] Based on step A5 of Example 1, in actual engineering, if Figure 2 As shown, it also specifically includes the following steps:

[0092] A5.1 Boundary discretization:

[0093] Convert the curve boundary into a point set using the Voronoi meshing algorithm (scipy.spatial);

[0094] Solve the problem that irregular boundaries cannot be covered by standard modules and realize the generation of fillable polygonal meshes;

[0095] A5.2 Module Matching

[0096] Dynamically select enclosure module sizes through backpack algorithm optimization (OR-Tools) to reduce the number of non-standard modules;

[0097] Achieve standard module utilization rate ≥ 85%;

[0098] A5.3 Functional Implantation

[0099] Through the rule engine (Drools) + machine learning clustering, the semantic labels of environmental sensitive points are learned, the layout specifications of monitoring points are learned, and panels are allocated according to environmental requirements;

[0100] To address the lack of targeted protection in high-dust areas, noise reduction modules are automatically deployed upwind of noise sources. Monitoring point layout standards are also in place for environmentally sensitive locations, such as ensuring that the angle between the sampling port and buildings is less than 30° and that there are no local pollution sources within 20 meters. Different monitoring point layout standards apply to different areas, including subway project monitoring and measurement, urban functional area acoustic environment quality monitoring, groundwater environmental monitoring, and bridge monitoring. These standards must comply with national or industry technical standards (such as the "Technical Specification for Monitoring of Construction Excavation Engineering" GB 50497) to ensure the feasibility of equipment installation, maintenance, and quality control. For example, in the construction and excavation monitoring sectors, the point density for surface settlement monitoring is: points are placed every 50 meters along the tunnel centerline, with intervals increased to 30–40 meters on important roads (such as main roads). Five to seven cross-sectional measurement points are added on intersecting roads. Key locations include within 30 meters of station entrances and exits and in geologically weak areas (fracture zones and shallow buried sections). The spacing between monitoring points for foundation pit support pile displacement for support structure monitoring is: 10–20 meters for first- and second-level foundation pits, and 20–30 meters for third-level foundation pits. Monitoring points are required at corners and sudden changes in depth. Support axial force monitoring: A minimum of 10% and 3 support piles per layer must be installed, located at the ends or 1 / 3 of the span.

[0101] A5.4 Mechanical Verification

[0102] Solve the problem of insufficient stability of movable structures by performing wind load simulation through ANSYS structural analysis;

[0103] Ensure that the displacement under level 8 wind is ≤L / 500.

[0104] In the several embodiments provided herein, it should be understood that the disclosed systems and methods can be implemented in other ways. For example, the system embodiments described above are merely illustrative. For example, the module division is merely a logical functional division. In actual implementation, other division methods may be used, such as combining or integrating multiple modules or components into another system, or omitting or not implementing certain features.

[0105] The modules described as separate components may or may not be physically separate, and the components shown as modules may or may not be physical modules, that is, they may be located in one place or distributed across multiple network modules. Some or all of the modules may be selected to achieve the purpose of the present embodiment according to actual needs.

[0106] In addition, the functional modules in various embodiments of the present invention may be integrated into a single processing module, each module may exist physically separately, or two or more modules may be integrated into a single module. The aforementioned integrated modules may be implemented in the form of hardware or hardware plus software functional modules.

[0107] Those skilled in the art will appreciate that the embodiments of the present invention may be provided as methods or systems. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware.

[0108] It should also be noted that the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, commodity, or apparatus that includes a series of elements includes not only those elements but also other elements not explicitly listed, or includes elements inherent to such process, method, commodity, or apparatus. In the absence of further limitations, an element defined by the phrase "comprises a ..." does not exclude the presence of other identical elements in the process, method, commodity, or apparatus that includes the element.

[0109] The above are merely embodiments of the present invention and are not intended to limit the present invention. It will be apparent to those skilled in the art that various modifications and variations of the present invention are possible. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention are intended to be included within the scope of the claims of the present invention.

[0110] Those skilled in the art will readily recognize other embodiments of the present invention after considering the invention disclosed herein in the specification and examples. The present invention is intended to cover any variations, uses, or adaptations of the present invention that follow the general principles of the invention and include common knowledge or customary techniques in the art not disclosed herein. The description and examples are to be considered as exemplary only, with the true scope and spirit of the invention being indicated by the following claims.

[0111] It should be understood that the present invention is not limited to the exact construction described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof, which is limited only by the appended claims.

Claims

1. An integrated construction enclosure design method based on smart city construction, characterized in that: include: Collect geographic information, calibrate environmental sensitive points, and load them into BIM for construction simulation. BIM involves GIS coordinate system conversion and semantic matching to output a digital baseplate of the construction site that includes terrain, buildings, sensitive points, and construction plans. The digital baseplate of the construction site and the modular design of the enclosure are obtained: The calibration of environmentally sensitive points includes: GIS-based buffer and viewshed analysis identifies environmentally sensitive points, including residential areas and schools, calibrates protection levels, loads semantic labels, and specifies monitoring point layout specifications for engineering areas involved in construction locations. Calibrated 3D terrain point cloud data is used to extract the facade structures of environmentally sensitive points. The curved boundary of the terrain is converted into a discretized point set, the size of the enclosure module is dynamically selected, and then the panels of the enclosure module are allocated according to the environmental sensitive points. Finally, a wind load simulation is performed to verify the structural stability. Output the final enclosure modular design plan.

2. The integrated construction enclosure design method based on smart city construction according to claim 1 is characterized in that: After performing wind load simulation to verify the structural stability, a digital twin preview of the enclosure modular design was also conducted. The specific steps are as follows: Through the simulation of dust diffusion and noise propagation physical fields, the pollution leakage in the enclosure gap is simulated, and then the equipment interaction in the entire construction process is simulated. The BIM+GIS model is loaded into the virtual scene to manually verify the feasibility of enclosure construction, maintenance and emergency response.

3. The integrated construction enclosure design method based on smart city construction according to claim 1 is characterized in that: The collection of geographic information specifically includes: Through drone oblique photography and laser scanning, the three-dimensional terrain point cloud data of the target construction site area is obtained, the elevation points are extracted to construct a triangulated terrain model, and the construction site red line map in DXF format is imported. The calibration of the three-dimensional terrain point cloud data and the construction of the terrain triangulation network are processed through the GIS platform, the satellite remote sensing data and the red line map are superimposed, and the geographic information processing data is output.

4. The integrated construction enclosure design method based on smart city construction according to claim 3 is characterized in that: The loading of BIM for construction simulation includes: The BIM model is lightweighted and converted into a display model through deletion and polygon merging methods. Then, the drone oblique photography and laser scanning data are integrated into the GIS platform through the Revit / CATIA model.

5. The integrated construction enclosure design method based on smart city construction according to claim 1 is characterized in that: The BIM involves GIS coordinate system conversion and semantic matching to output a digital baseplate of the construction site containing terrain, buildings, sensitive points, and construction plans. The digital baseplate of the construction site and the modular design of the enclosure are obtained, including: Based on semantic matching, we extract entity triples from IFC architectural data and CityGML geographic location data. We split the triples into entities and relationships, cluster the entity vectors representing semantic information in the low-order vector space of the entity parts, calculate the similarity of the fusion matching of IFC and CityGML ontology, iteratively cluster the entity vectors using k-means clustering, traverse the entity information including size and coordinates, supplement the entity and relationship data information through geometric reconstruction, and obtain the mapping from IFC standard entities to CityGML standard entities. Calculate the similarity between IFC and CityGML entities based on the word vector hashing algorithm, and automatically associate data with a matching threshold greater than the preset 0.85; Use RDF to declare the geometric properties of BIM entities, then define transformation rules, and finally perform the transformation and generate new triples to transform the coordinate system of the BIM model. The coordinates, transformation parameters, and entity relationships are expressed as a machine-readable semantic network. Specifically: In the BIM model, input the coordinate system of the enclosure module designed in Revit, the global coordinates in GIS, the coordinate conversion parameters, and the entity semantic relationship mapping the IFC standard entity to the CityGML standard entity; input the rotation matrix, translation vector, scale factor, and preset ellipsoid parameters obtained based on the ground control points of the target construction site area; Output the converted global coordinates and the RDF graph that retains the semantic association, and obtain the digital base plate and enclosure modular design of the construction site.

Images