Hotel building collision detection method, system, device and medium

Abstract

This application provides a clash detection method, system, device, and medium for hotel-type buildings. The method includes: establishing a clash detection rule base based on historical data of hotel-type buildings; establishing a team sub-model based on the design scheme of the hotel-type building; uploading the team sub-model to an intranet collaborative data platform; different professional departments extracting their corresponding sub-models from the team sub-model on the intranet collaborative data platform for in-depth design, resulting in a multi-professional fusion model; and performing clash detection on the multi-professional fusion model according to the clash detection rule base. This multi-professional collaborative model refinement improves model integration efficiency, and by establishing a clash detection rule base specifically for the requirements of hotel buildings, it identifies problems in the hotel-type building information model, ensuring the quality of digital delivery.

Description

Technical Field

[0001] This application relates to the field of building information modeling technology, and in particular to a collision detection method, system, equipment and medium for hotel buildings. Background Technology

[0002] Current architectural design methods based on Building Information Modeling (BIM) complete the design, data transfer, and interaction of all disciplines (including architecture, structure, plumbing, HVAC, interior design, and landscape design) within a single software system. Design practice has revealed that using this single software system for comprehensive design suffers from a simplistic modeling logic, making it difficult to quickly model curved surfaces or complex steel structures. Furthermore, in traditional hotel project design processes, architecture, structure, MEP, interior design, and landscape design often submit data sequentially, leading to clash issues only becoming apparent in the later stages of construction drawings or during construction, resulting in high change-making costs.

[0003] However, general BIM clash detection tools lack dedicated rule libraries for specific requirements of hotel buildings such as sound insulation, headroom, and column-free banquet halls. This results in numerous model correction issues, as well as heterogeneous software formats across different disciplines, leading to low model integration efficiency. Furthermore, the failure to synchronize review and clash detection negatively impacts the quality of digital delivery. Summary of the Invention

[0004] The purpose of this application is to provide a collision detection method, system, electronic device, and storage medium for hotel buildings, which can solve the problems of existing technologies lacking a dedicated rule library for the special requirements of hotel buildings, having many model correction problems, and having low model integration efficiency, thus affecting the quality of digital delivery.

[0005] In a first aspect, embodiments of this application provide a collision detection method for hotel-type buildings, the method comprising: Establish a collision detection rule base based on historical data of hotel buildings; Create a team sub-model based on the design scheme of hotel-type buildings; The team sub-model is uploaded to the intranet collaborative data platform. Different professional departments extract the corresponding professional department sub-models from the team sub-models in the intranet collaborative data platform for in-depth design, resulting in a multi-professional fusion model. Collision detection is performed on the multi-disciplinary fusion model based on the collision detection rule base.

[0006] Optionally, the historical data includes: project types and as-built models of different hotel building projects; The establishment of a collision detection rule base based on historical data of hotel buildings includes: Collision records for different types of hotel buildings are extracted from the as-built models of the different hotel building projects. The collision records were analyzed according to different professional dimensions to form hotel collision rules for different types of hotel buildings; The various types of hotel collision rules are summarized to construct the collision detection rule library.

[0007] Optionally, the team sub-model represents a detachable team sub-model created by the architectural professional department using a forward modeling approach, based on the design scheme and under a unified coordinate system, naming rules, and component classification standards. This sub-model includes different professional departments.

[0008] Optionally, the team sub-model is uploaded to the intranet collaborative data platform, and different professional departments extract their corresponding professional department sub-models from the team sub-model on the intranet collaborative data platform for in-depth design, resulting in a multi-professional fusion model, including: The team sub-model is uploaded to the intranet collaborative data platform; the intranet collaborative data platform is used to synchronize the updated model data among various professional departments; Extract the sub-models responsible for different professional departments from the team sub-model from the intranet collaborative data platform; Match the corresponding detailed design scheme to the professional department of the sub-model; Process the sub-models of the corresponding professional departments according to the detailed design scheme, and the detailed sub-models of different professional departments; The enhanced sub-model is fed back to the intranet collaborative data platform; The multi-professional fusion model is constructed based on the in-depth sub-models of each professional department in the intranet collaborative data platform.

[0009] Optionally, the professional departments include at least: structural engineering department, mechanical and electrical engineering department, and interior design department; The matching of corresponding detailed design schemes based on the professional departments of the sub-model includes: When the professional department is the structural professional department, a structural detailed design scheme is obtained; the structural detailed design scheme is used to perform structural modeling of spatial steel trusses or curved spatial structures based on the sub-model, and the structural information in the structural modeling is retained through the mapping plugin to obtain the structural detailed sub-model. When the professional department is the electromechanical professional department, an electromechanical detailed design scheme is obtained; the electromechanical detailed design scheme is used to establish a fresh air system and a duct system based on the sub-model, and set the duct priority attribute to obtain the electromechanical detailed sub-model; When the professional department is the interior design department, an interior detailed design scheme is obtained; the interior detailed design scheme is used to establish an interior model of irregular space and finish based on the sub-model, and the interior model is imported into the sub-model through geometric data conversion to obtain an interior detailed sub-model.

[0010] Optionally, the step of performing collision detection on the multi-disciplinary fusion model according to the collision detection rule base includes: Based on the type of hotel building, match the corresponding hotel collision rule in the collision detection rule library; Collision detection is performed on the multi-professional fusion model according to the hotel collision rules.

[0011] Optionally, the step of performing collision detection on the multi-professional fusion model according to the hotel collision rules includes: Based on the preset building information model, collision detection is performed on the structure and space between the detailed sub-models of different professional departments in the multi-professional integration model to determine whether there is a spatial conflict between the detailed sub-models; In the event of spatial conflicts between the aforementioned sub-models, the layout of each pipeline in the electromechanical sub-model is adjusted according to the priority attribute of the ductwork, and the net height is optimized based on the adjusted pipeline layout to ensure that the net height of the usable space of the hotel-type building meets the design standards and functional requirements.

[0012] Secondly, embodiments of this application provide a collision detection system for hotel buildings, the system comprising: The rule base creation module is used to create a collision detection rule base based on historical data of hotel buildings; The team sub-model design module is used to create team sub-models based on the design schemes of hotel-type buildings. The collaborative deepening module is used to upload the team sub-model to the intranet collaborative data platform. Different professional departments extract the corresponding professional department sub-models from the team sub-models in the intranet collaborative data platform for in-depth design, resulting in a multi-professional fusion model. The collision detection module is used to perform collision detection on the multi-disciplinary fusion model according to the collision detection rule base.

[0013] Thirdly, embodiments of this application provide an electronic device, including: a memory, a processor, and a computer program stored in the memory, wherein the processor executes the computer program to implement the method described above.

[0014] Fourthly, embodiments of this application provide a computer-readable storage medium on which a computer program is stored, which, when executed by a processor, implements the method described above.

[0015] Compared with the prior art, the embodiments of this application have the following advantages: In this embodiment, a clash detection rule base is established based on historical data of hotel buildings; a team sub-model is established based on the design scheme of hotel buildings; the team sub-model is uploaded to an intranet collaborative data platform, and different professional departments extract their corresponding sub-models from the team sub-models on the intranet collaborative data platform for in-depth design, resulting in a multi-professional fusion model; clash detection is performed on the multi-professional fusion model according to the clash detection rule base. This multi-professional collaborative model refinement improves model integration efficiency, and by establishing a clash detection rule base specifically for the requirements of hotel buildings, problems existing in the hotel building information model are identified, ensuring the quality of digital delivery. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 This is a flowchart illustrating the steps of a collision detection method for hotel buildings provided in an embodiment of this application; Figure 2 This is a structural block diagram of a collision detection system for hotel buildings provided in an embodiment of this application; Figure 3 This is a schematic diagram of an electronic device provided in an embodiment of this application; Figure 4 This is a schematic diagram of a computer-readable storage medium provided in an embodiment of this application. Detailed Implementation The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0018] The terms "first," "second," etc., used in the specification and claims of this application are used to distinguish similar objects and not to describe a specific order or sequence. It should be understood that such use of data can be interchanged where appropriate so that embodiments of this application can be implemented in orders other than those illustrated or described herein. Furthermore, in the specification and claims, "and / or" indicates at least one of the connected objects, and the character " / " generally indicates that the preceding and following objects are in an "or" relationship.

[0019] The following description, in conjunction with the accompanying drawings, details a collision detection method, system, electronic device, and storage medium for hotel buildings provided in this application, through specific embodiments and application scenarios.

[0020] Current architectural design methods based on Building Information Modeling (BIM) complete the design, data transfer, and interaction of all disciplines (including architecture, structure, plumbing, HVAC, interior design, and landscape design) within a single software system. Design practice has revealed that using this single software system for comprehensive design suffers from a simplistic modeling logic, making it difficult to quickly model curved surfaces or complex steel structures. Furthermore, in traditional hotel project design processes, architecture, structure, MEP, interior design, and landscape design often submit data sequentially, leading to clash issues only becoming apparent in the later stages of construction drawings or during construction, resulting in high change-making costs.

[0021] However, general BIM clash detection tools lack dedicated rule libraries for specific requirements of hotel buildings such as sound insulation, headroom, and column-free banquet halls. This results in numerous model correction issues, as well as heterogeneous software formats across different disciplines, leading to low model integration efficiency. Furthermore, the failure to synchronize review and clash detection negatively impacts the quality of digital delivery.

[0022] Reference Figure 1 The diagram illustrates a flowchart of a collision detection method for hotel buildings provided in this embodiment, which may include the following steps: Step S101: Establish a collision detection rule base based on historical data of hotel buildings; In this embodiment of the application, historical data of hotel buildings of different grades are collected, the characteristics of different grades and types of hotels are analyzed from the historical data, and a collision detection rule base is established based on this to provide a targeted test basis for subsequent collision tests of hotel buildings.

[0023] Step S102: Establish a team sub-model based on the design scheme of the hotel-type building; In this embodiment, the team sub-model represents the architectural professional department creating a detachable team sub-model containing different professional departments using a forward modeling approach based on the design scheme, under a unified coordinate system, naming rules, and component classification standards.

[0024] Specifically, the architecture professionals use typical functional zoning and high-frequency collision risk areas of hotel buildings as inputs to establish a team sub-model that includes the main civil engineering structure, vertical shafts, machine rooms, and key equipment openings. Among them, the functional zoning includes at least: lobby, guest rooms, and restaurants; high-frequency risk areas represent areas with complex spaces in hotel buildings, such as lecture halls and rooms with rich decorations, including curves or domes.

[0025] In practical implementation, the architectural profession creates detachable BIM sub-models for different professional departments in Building Information Modeling (BIM) software (such as Revit, a BIM tool in the field of architectural design), including grid lines, core tubes, guest room modules, vertical shafts, machine room outlines, and column-free banquet hall space shell outlines. These sub-models are then used as team sub-models to create project folders on the intranet collaborative data platform. The naming convention uses "professional code_floor_system_date" to uniquely identify components, for example, "AR_L03_FS_20251223".

[0026] Furthermore, a unified coordinate system is set up. By setting a shared coordinate system (e.g., the Shanghai Urban Coordinate System CGCS2000), the detailed design schemes of various professional departments can be bound in a unified coordinate system, and any subsequent model insertion will be automatically aligned.

[0027] Step S103: Upload the team sub-model to the intranet collaborative data platform. Different professional departments extract the corresponding professional department sub-models from the team sub-model in the intranet collaborative data platform for in-depth design to obtain a multi-professional fusion model. Specifically, after the team sub-model is uploaded to the intranet collaborative data platform, professional departments participating in the modeling are created and professional leaders are set for each department. After review and approval, the model is submitted to other professional departments. Each professional leader sets up modeling personnel, verification and review personnel. The modeling personnel of each professional department will receive the submission process from the intranet collaborative data platform. The modeling personnel of each professional department confirm the process and extract the BIM sub-model responsible for their own professional department from the team sub-model for detailed design. Within the review and approval period, the detailed BIM sub-model is sent back to the intranet collaborative data platform to build a professional integration model and achieve efficient integration of BIM models.

[0028] Step S104: Perform collision detection on the multi-professional fusion model according to the collision detection rule base.

[0029] In practical implementation, the civil engineering structure, vertical shafts, machine rooms, and key equipment openings in the professional fusion model may have spatial conflicts with the decorative surfaces of functional zones and high-frequency collision risk areas. For example, if the ceiling in an area is curved, the shafts and pipes above it may pass through curved ceilings of different heights. This embodiment will match collision rules of the same type and grade as the hotel building currently being processed from the collision detection rule library to perform collision detection on the multi-professional fusion model. Through targeted collision testing, problems existing in the hotel building information model can be quickly identified.

[0030] In this embodiment, a clash detection rule base is established based on historical data of hotel buildings; a team sub-model is established based on the design scheme of hotel buildings; the team sub-model is uploaded to an intranet collaborative data platform, and different professional departments extract their corresponding sub-models from the team sub-models on the intranet collaborative data platform for in-depth design, resulting in a multi-professional fusion model; clash detection is performed on the multi-professional fusion model according to the clash detection rule base. This multi-professional collaborative model refinement improves model integration efficiency, and by establishing a clash detection rule base specifically for the requirements of hotel buildings, problems existing in the hotel building information model are identified, ensuring the quality of digital delivery.

[0031] In one embodiment of this application, the historical data includes: project types and as-built models of different hotel-type building projects; The establishment of a collision detection rule base based on historical data of hotel buildings includes: Collision records for different types of hotel buildings are extracted from the as-built models of the different hotel building projects. The collision records were analyzed according to different professional dimensions to form hotel collision rules for different types of hotel buildings; The various types of hotel collision rules are summarized to construct the collision detection rule library.

[0032] In practical implementation, historical data for hotel buildings includes at least the project types and as-built models of different hotel building projects. By analyzing the project types of different hotel building projects, they are divided into different types of hotel buildings. Then, collision records of different types of hotel buildings can be extracted from the as-built models according to type / grade. Based on the collision records, the precautions and collision rules for different types of hotel buildings during collision testing are analyzed to form hotel-specific collision rules. The hotel collision rules are stored in a four-level structure of "brand-space-professional pair-priority" to form a collision detection rule library. The collision detection rule library can adopt an extensible XML format, and modelers from various professional departments can add rules by dragging and dropping on the web page.

[0033] In this embodiment, by constructing a personalized collision detection rule library based on the characteristics of different types of hotel buildings, modelers from various professional departments can quickly filter according to different hotel brands, types, and other standards to obtain hotel collision rules that meet the characteristics of the hotel, providing a scientific reference for subsequent collision tests.

[0034] In one embodiment of this application, the process of uploading the team sub-model to an intranet collaborative data platform, and having different professional departments extract corresponding professional department sub-models from the team sub-model on the intranet collaborative data platform for in-depth design to obtain a multi-professional fusion model, includes: The team sub-model is uploaded to the intranet collaborative data platform; the intranet collaborative data platform is used to synchronize the updated model data among various professional departments; Extract the sub-models responsible for different professional departments from the team sub-model from the intranet collaborative data platform; Match the corresponding detailed design scheme to the professional department of the sub-model; Process the sub-models of the corresponding professional departments according to the detailed design scheme, and the detailed sub-models of different professional departments; The enhanced sub-model is fed back to the intranet collaborative data platform; The multi-professional fusion model is constructed based on the in-depth sub-models of each professional department in the intranet collaborative data platform.

[0035] In this embodiment, the intranet collaborative data platform is used to synchronize the updated model data among various professional departments. During the process of refining their respective BIM sub-models, each time a BIM sub-model is saved, the intranet collaborative data platform automatically records a log, including components, modifications (addition / deletion / adjustment), time, operators, and attributes (such as elevation, dimensions, and system type). In addition, the intranet collaborative data platform also automatically aligns the refined sub-models submitted by the professional departments, i.e., the RVT files (Revit software's proprietary project file format, containing all data of the refined BIM sub-model, such as 3D models, component attributes, view settings, and bill of quantities), based on a pre-set shared coordinate system and according to a unified shared coordinate system and origin position. This ensures that the relative positions of each refined BIM sub-model in space are accurate and avoids the positional confusion that may occur in traditional linking methods. This enables the refined BIM sub-models of architecture, structure, MEP, and other professional departments to accurately collaborate and form a complete professional fusion model.

[0036] Specifically, different professional departments are responsible for different BIM sub-models, and different professions also have different ways of refining BIM sub-models. This application matches the corresponding detailed design schemes according to the professional departments, so that each professional department can process the BIM sub-model according to its own detailed design scheme.

[0037] This embodiment uses an intranet collaborative platform to synchronize BIM model updates across various disciplines in real time, refines the sub-models to accurately match design schemes, and solves the problem of heterogeneous formats among multiple professional software by sharing coordinate systems and aligning origins, thereby enabling efficient integration of BIM models.

[0038] In one embodiment of this application, the professional departments include at least: a structural professional department, a mechanical and electrical professional department, and an interior professional department; The matching of corresponding detailed design schemes based on the professional departments of the sub-model includes: When the professional department is the structural professional department, a structural detailed design scheme is obtained; the structural detailed design scheme is used to perform structural modeling of spatial steel trusses or curved spatial structures based on the sub-model, and the structural information in the structural modeling is retained through the mapping plugin to obtain the structural detailed sub-model. When the professional department is the electromechanical professional department, an electromechanical detailed design scheme is obtained; the electromechanical detailed design scheme is used to establish a fresh air system and a duct system based on the sub-model, and set the duct priority attribute to obtain the electromechanical detailed sub-model; When the professional department is the interior design department, an interior detailed design scheme is obtained; the interior detailed design scheme is used to establish an interior model of irregular space and finish based on the sub-model, and the interior model is imported into the sub-model through geometric data conversion to obtain an interior detailed sub-model.

[0039] In this embodiment, the professional departments include at least: structural engineering department, mechanical and electrical engineering department and interior design department. The modeling software used by each professional department is also different. For example, the structural engineering department usually uses Revit for civil engineering modeling, while the mechanical and electrical engineering department usually uses MagicCAD and Revit for mechanical and electrical modeling.

[0040] Specifically, when the professional department is the structural professional department, a structural detailed design scheme is obtained. Based on the structural detailed design scheme, the structural professional department uses the corresponding BIM software to perform structural modeling of the spatial steel truss or curved spatial structure shape of the BIM sub-model under the responsibility of the structural professional department. The structural information in the structural modeling is retained through the mapping plugin to obtain the structural detailed sub-model. Specifically, Tekla Structures can be used to model large-span spatial steel trusses or curved spatial structures. However, due to compatibility issues between different BIM software using the IFC standard, errors in positioning and geometric damage may occur after import. This application uses the IFC mapping plugin to perform attribute mapping and coordinate transformation, ensuring that key information from Tekla software can be accurately transferred to Revit software, thereby avoiding model compatibility conflicts. When the professional department is the MEP (Mechanical, Electrical, and Mechanical) department, a detailed MEP design scheme is obtained. Based on the detailed MEP design scheme, the MEP department models the fresh air system and duct system in the BIM sub-model under its responsibility, and sets the duct priority attribute to obtain the detailed MEP sub-model. Among them, the duct priority attribute serves as the weight basis in the collision rules, determining the avoidance order when there is a conflict: high-priority ducts (such as main ducts) remain in place, and low-priority pipelines automatically detour, realizing intelligent pipeline integration, reducing manual adjustments, and improving the efficiency of MEP detailed design in hotel projects.

[0041] When the professional department is the interior design department, an interior detailed design scheme is obtained. Based on the interior detailed design scheme, the interior design department uses Rhino and VisualARQ software to create an interior model of irregular spaces and finishes, and uses Rhino.Inside.Revit technology to perform geometric data conversion, seamlessly importing the interior model into the BIM sub-model to obtain the interior detailed sub-model.

[0042] This embodiment sets up detailed design schemes for different disciplines, enabling each professional department to update the BIM sub-model using professionally targeted detailed design schemes. This results in the construction of a multi-disciplinary integrated model that incorporates the content of different professional departments, and structural conflicts and spatial issues between models of different disciplines can be identified in advance during clash testing.

[0043] In one embodiment of this application, the step of performing collision detection on the multi-disciplinary fusion model according to the collision detection rule base includes: Based on the type of hotel building, match the corresponding hotel collision rule in the collision detection rule library; Collision detection is performed on the multi-professional fusion model according to the hotel collision rules.

[0044] In this embodiment of the application, collision rules of the same type as hotel buildings are selected from the collision detection rule library, and the professional fusion model is collided using the same type of hotel collision rules.

[0045] Specifically, the collision detection of the multi-professional fusion model according to the hotel collision rules includes the following steps: Step S1: Based on the preset building information model, perform collision detection on the structure and space between the detailed sub-models of different professional departments in the multi-professional integration model to determine whether there are spatial conflicts between the detailed sub-models. In this embodiment, the multi-disciplinary fusion model integrates the detailed sub-models of the structural, mechanical and electrical, and interior design departments. By using BIM software, it automatically detects whether there are spatial conflicts (such as component intersections or insufficient spacing) between the detailed sub-models of various departments such as architecture, structure, and mechanical and electrical. The criteria for judging spatial conflicts differ for different types of hotel buildings. The corresponding spacing threshold and the components that intersect and conflict can be extracted from the collision rules of the same type of hotel. The existence of spatial conflicts is judged based on the spacing threshold and the components that intersect and conflict.

[0046] In practice, collision detection software (such as Navisworks) can be used to perform collision detection, and the detection results can be automatically classified into three levels.

[0047] Level 1 collision (red): such as a conflict between the main air duct of the main space and the web members of the steel truss. Secondary collision (orange): such as the parallel distance between the cable tray and the main water supply pipe is less than 100 mm; Level 3 collision (yellow): such as the distance between the bathroom branch pipe and the exhaust pipe is less than 50 mm.

[0048] For Level 1 collisions, the responding components are marked with corresponding colors in the multi-disciplinary fusion model, and the system immediately pushes the information to the project manager and professional leader. For Level 2 and Level 3 collisions, the responding components are marked with corresponding colors in the multi-disciplinary fusion model, providing reviewers with a focus for pipeline integration and headroom optimization.

[0049] Step S2: In the event of spatial conflicts between the detailed sub-models, adjust the layout of each pipeline in the electromechanical detailed sub-model according to the priority attribute of the air duct, and optimize the net height based on the adjusted pipeline layout to ensure that the net height of the usable space of the hotel-type building meets the design standards and functional requirements.

[0050] Based on the collision check, if there are spatial conflicts between the detailed sub-models, the pipeline layout of each pipeline in the electromechanical detailed sub-model is adjusted and optimized based on the duct priority attribute (e.g., adjusting the spatial position, direction and elevation of each pipeline) to make the design optimization work reasonable under the premise of meeting the functional, specification and maintenance requirements.

[0051] After adjusting the pipeline layout, the net height is optimized to ensure that the net height of different areas (such as guest rooms, corridors, and lobbies) in the multi-disciplinary integrated model meets the design standards and functional requirements.

[0052] Each specialized department can make adjustments based on the collision detection results until all collisions affecting the hotel space and operations have passed. Afterwards, information such as changes in engineering quantity and cost will be listed, and a variance report will be generated simultaneously. Once confirmed by the project manager, the optimized multi-disciplinary integrated model and collision compliance documents will be released. This application establishes a clash detection rule base based on historical data of hotel buildings; creates team sub-models based on the design schemes of hotel buildings; uploads these team sub-models to an intranet collaborative data platform, where different professional departments extract their corresponding sub-models from the team sub-models for further design refinement, resulting in a multi-professional fusion model; and performs clash detection on the multi-professional fusion model based on the clash detection rule base. This multi-professional collaborative model refinement improves model integration efficiency, and by establishing a clash detection rule base tailored to the specific requirements of hotel buildings, it identifies problems in the hotel building information model, ensuring the quality of digital delivery.

[0053] It should be noted that, for the sake of simplicity, the method embodiments are all described as a series of actions. However, those skilled in the art should understand that the embodiments of this application are not limited to the described order of actions, because according to the embodiments of this application, some steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also understand that the embodiments described in the specification are all preferred embodiments, and the actions involved are not necessarily required by the embodiments of this application.

[0054] Reference Figure 2 The diagram illustrates a structural block diagram of a collision detection system for hotel buildings provided in an embodiment of this application, which may specifically include the following modules: The rule base creation module 201 is used to create a collision detection rule base based on historical data of hotel buildings. Team sub-model design module 202 is used to create team sub-models based on the design schemes of hotel-type buildings; The collaborative deepening module 203 is used to upload the team sub-model to the intranet collaborative data platform. Different professional departments extract the corresponding professional department sub-models from the team sub-models in the intranet collaborative data platform for in-depth design, and obtain a multi-professional fusion model. The collision detection module 204 is used to perform collision detection on the multi-professional fusion model according to the collision detection rule base.

[0055] In one embodiment of this application, the historical data includes: project types and as-built models of different hotel-type building projects; the rule base establishment module 201 includes: The collision record extraction submodule is used to extract collision records of different types of hotel buildings based on the as-built models of the different hotel building projects. The Hotel Collision Rule Setting Submodule is used to analyze the collision records according to different professional dimensions to form hotel collision rules for different types of hotel buildings. The collision detection rule base generation submodule is used to summarize the various types of hotel collision rules and construct the collision detection rule base.

[0056] In one embodiment of this application, the team sub-model represents a detachable team sub-model created by the architectural professional department using a forward modeling approach based on the design scheme, under a unified coordinate system, naming rules, and component classification standards. This sub-model includes different professional departments.

[0057] In one embodiment of this application, the collaborative deepening module 203 includes: The team sub-model upload submodule is used to upload the team sub-model to the intranet collaborative data platform; the intranet collaborative data platform is used to synchronize the updated model data among various professional departments. The model extraction submodule is used to extract sub-models from the team sub-models that are the responsibility of different professional departments from the intranet collaborative data platform; The detailed design scheme matching submodule is used to match the corresponding detailed design scheme according to the professional departments of the sub-model; The sub-model generation sub-module is used to process the sub-models of the corresponding professional departments according to the detailed design scheme, and the detailed sub-models of different professional departments; The feedback submodule is used to feed the deepened sub-model back to the intranet collaborative data platform; The collaborative integration submodule is used to construct the multi-professional integration model based on the in-depth sub-models of each professional department in the intranet collaborative data platform.

[0058] In one embodiment of this application, the professional departments include at least: a structural professional department, an electromechanical professional department, and an interior professional department; the detailed design scheme matching submodule includes: The matching of corresponding detailed design schemes based on the professional departments of the sub-model includes: The structural detailing design scheme matching unit is used to match and obtain a structural detailing design scheme when the professional department is the structural professional department; the structural detailing design scheme is used to perform structural modeling of spatial steel trusses or curved spatial structures based on the sub-model, and retains the structural information in the structural modeling through the mapping plugin to obtain the structural detailing sub-model. The electromechanical detailed design scheme matching unit is used to match and obtain an electromechanical detailed design scheme when the professional department is the electromechanical professional department; the electromechanical detailed design scheme is used to establish a fresh air system and a duct system based on the sub-model, and set the duct priority attribute to obtain an electromechanical detailed sub-model; The interior detailed design scheme matching unit is used to match an interior detailed design scheme when the professional department is the interior professional department; the interior detailed design scheme is used to establish an interior model of irregular space and finish based on the sub-model, and import the interior model into the sub-model through geometric data conversion to obtain an interior detailed sub-model.

[0059] In one embodiment of this application, the collision detection module 204 includes: The hotel collision rule matching submodule is used to match the corresponding hotel collision rule in the collision detection rule library according to the type of the hotel building. The collision detection submodule is used to perform collision detection on the multi-professional fusion model according to the hotel collision rules.

[0060] In one embodiment of this application, the collision detection submodule includes: The spatial conflict judgment unit is used to perform collision detection on the structure and space between the detailed sub-models of different professional departments in the multi-professional fusion model according to the preset building information model, and to determine whether there is a spatial conflict between the detailed sub-models. The collision optimization unit is used to adjust the layout of each pipeline in the electromechanical detailed sub-model according to the priority attribute of the air duct when there is a spatial conflict between the detailed sub-models, and to optimize the net height based on the adjusted pipeline layout to ensure that the net height of the usable space of the hotel-type building meets the design standards and functional requirements.

[0061] As the system implementation is basically similar to the method implementation, it is described in a relatively simple way. For relevant details, please refer to the description of the method implementation.

[0062] like Figure 3 As shown, in another embodiment provided in this application, an electronic device 300 is also provided, including a memory 310 and a processor 320. The memory 310 and the processor 320 are connected via a bus for communication. The memory 310 stores a computer program, which can run on the processor 320 to implement the above steps.

[0063] like Figure 4As shown, in another embodiment provided in this application, a computer-readable storage medium 401 is also provided, which stores a computer program that implements the methods described in the above embodiments when executed by a processor.

[0064] Although preferred embodiments of the present invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of the embodiments of the present invention.

[0065] Those skilled in the art will understand that embodiments of this application can be provided as methods, apparatus, or computer program products. Therefore, embodiments of this application can take the form of entirely hardware embodiments, entirely software embodiments, or embodiments combining software and hardware aspects. Furthermore, embodiments of this application can take the form of computer program products implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0066] This application describes embodiments with reference to flowchart illustrations and / or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of this application. It should be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing terminal device to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal device, generate instructions for implementing the flowchart illustrations. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0067] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing terminal device to operate in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0068] These computer program instructions can also be loaded onto a computer or other programmable data processing terminal equipment, causing a series of operational steps to be performed on the computer or other programmable terminal equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable terminal equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0069] Although preferred embodiments of the present application have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of the embodiments of the present application.

[0070] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0071] The above description is merely a preferred embodiment of this application and is not intended to limit the scope of protection of this application. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application are included within the scope of protection of this application.

Claims

1. A hotel building collision detection method, characterized by, The method includes: Establish a collision detection rule base based on historical data of hotel buildings; Create a team sub-model based on the design scheme of hotel-type buildings; The team sub-model is uploaded to the intranet collaborative data platform. Different professional departments extract the corresponding professional department sub-models from the team sub-models in the intranet collaborative data platform for in-depth design, resulting in a multi-professional fusion model. Collision detection is performed on the multi-disciplinary fusion model based on the collision detection rule base.

2. The method according to claim 1, characterized in that, The historical data includes: project types and as-built models of different hotel building projects; The establishment of a collision detection rule base based on historical data of hotel buildings includes: Collision records for different types of hotel buildings are extracted from the as-built models of the different hotel building projects. The collision records were analyzed according to different professional dimensions to form hotel collision rules for different types of hotel buildings; The various types of hotel collision rules are summarized to construct the collision detection rule library.

3. The method according to claim 1, characterized in that, The team sub-model represents the architectural professional departments creating a detachable team sub-model containing different professional departments using a forward modeling approach, based on the design scheme and under a unified coordinate system, naming rules, and component classification standards.

4. The method according to claim 1, characterized in that, The process involves uploading the team sub-model to the intranet collaborative data platform. Different professional departments then extract their corresponding departmental sub-models from the team sub-model on the intranet collaborative data platform for further design, resulting in a multi-professional fusion model, including: The team sub-model is uploaded to the intranet collaborative data platform; the intranet collaborative data platform is used to synchronize the updated model data among various professional departments; Extract the sub-models responsible for different professional departments from the team sub-model from the intranet collaborative data platform; Match the corresponding detailed design scheme to the professional department of the sub-model; Process the sub-models of the corresponding professional departments according to the detailed design scheme, and the detailed sub-models of different professional departments; The enhanced sub-model is fed back to the intranet collaborative data platform; The multi-professional fusion model is constructed based on the in-depth sub-models of each professional department in the intranet collaborative data platform.

5. The method according to claim 4, characterized in that, The professional departments mentioned above include at least: structural engineering department, mechanical and electrical engineering department and interior design department; The matching of corresponding detailed design schemes based on the professional departments of the sub-model includes: When the professional department is the structural professional department, a structural detailed design scheme is obtained; the structural detailed design scheme is used to perform structural modeling of spatial steel trusses or curved spatial structures based on the sub-model, and the structural information in the structural modeling is retained through the mapping plugin to obtain the structural detailed sub-model. When the professional department is the electromechanical professional department, an electromechanical detailed design scheme is obtained; the electromechanical detailed design scheme is used to establish a fresh air system and a duct system based on the sub-model, and set the duct priority attribute to obtain the electromechanical detailed sub-model; When the professional department is the interior design department, an interior detailed design scheme is obtained; the interior detailed design scheme is used to establish an interior model of irregular space and finish based on the sub-model, and the interior model is imported into the sub-model through geometric data conversion to obtain an interior detailed sub-model.

6. The method according to claim 1, characterized in that, The step of performing collision detection on the multi-disciplinary fusion model according to the collision detection rule base includes: Based on the type of hotel building, match the corresponding hotel collision rule in the collision detection rule library; Collision detection is performed on the multi-disciplinary fusion model according to the hotel collision rules.

7. The method according to claim 6, characterized in that, The step of performing collision detection on the multi-professional fusion model according to the hotel collision rules includes: Based on the preset building information model, collision detection is performed on the structure and space between the detailed sub-models of different professional departments in the multi-professional integration model to determine whether there is a spatial conflict between the detailed sub-models; In the event of spatial conflicts between the aforementioned sub-models, the layout of each pipeline in the electromechanical sub-model is adjusted according to the priority attribute of the ductwork, and the net height is optimized based on the adjusted pipeline layout to ensure that the net height of the usable space of the hotel-type building meets the design standards and functional requirements.

8. A collision detection system for hotel buildings, characterized in that, The system includes: The rule base creation module is used to create a collision detection rule base based on historical data of hotel buildings; The team sub-model design module is used to create team sub-models based on the design schemes of hotel-type buildings. The collaborative deepening module is used to upload the team sub-model to the intranet collaborative data platform. Different professional departments extract the corresponding professional department sub-models from the team sub-models in the intranet collaborative data platform for in-depth design, resulting in a multi-professional fusion model. The collision detection module is used to perform collision detection on the multi-disciplinary fusion model according to the collision detection rule base.

9. An electronic device, characterized in that, include: A memory, a processor, and a computer program stored on the memory, wherein the processor executes the computer program to implement the method of any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, A computer program is stored on the computer-readable storage medium, which, when executed by a processor, implements the method as described in any one of claims 1-7.

Images