BIM-based medical building construction method

Abstract

The invention belongs to the technical field of data processing, particularly relates to a BIM (Building Information Modeling)-based medical building construction method, and aims to solve the problem of inaccurate simulation service caused by inaccurate data in the application process of the BIM technology in the medical building field. According to the method, the medical building construction data and the user demand data are comprehensively acquired, feature extraction is performed, the corresponding modules are established, and accurate data processing is realized by combining user demands with module association. Construction data are collected in real time, and the model accuracy and the data reliability are improved through a double-space data processing and comparison verification mechanism. And when the data is inaccurate, automatically optimizing the model and detecting the data, and finally generating an optimized simulation result. The medical building construction efficiency and quality are improved, multi-specialty cooperative work is promoted, and project management scientificity and user experience are improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of data processing, and particularly relates to a method for constructing a medical building based on BIM. Background Art

[0002] BIM (Building Information Modeling) technology is widely and deeply applied in the construction of medical buildings. From planning, design, construction to operation and maintenance, BIM technology plays a role. BIM technology intuitively displays the design scheme of a medical building through a three-dimensional model, enabling designers, owners and other relevant parties to more clearly understand the design intention and improving the scientificity and accuracy of decision-making. Medical buildings involve many specialties, such as architecture, structure, water supply and drainage, heating, ventilation, and electricity. BIM technology realizes real-time collaborative design among multiple specialties by establishing a unified information model, reduces design conflicts, and improves design efficiency.

[0003] BIM technology provides accurate data support for material procurement and construction through calculated engineering quantities, reducing material waste. BIM technology can realize real-time monitoring of construction progress, quality, safety, etc., ensuring the smooth progress of the construction process. At the same time, BIM technology can also guide modular construction and improve construction efficiency. Through virtual construction using a BIM model, problems in the construction process can be discovered and solved in advance, reducing rework and changes.

[0004] In the actual use process of BIM technology in the field of medical buildings, there are the following technical pain points. The construction of medical buildings involves multiple project sections, including architecture, structure, water supply and drainage, heating, ventilation, and electricity. As the medical building project progresses, the data volume of the BIM model will continuously increase. During the construction of medical buildings, construction plan modifications and project plan modifications caused by natural environment impacts will also occur, resulting in a complex data volume of similar projects during the construction process of medical buildings. When the data used by BIM technology in the construction process of medical buildings is inaccurate, it will lead to the inability of BIM technology to provide accurate simulation services for the construction of medical buildings. Therefore, the present invention provides a method for constructing a medical building based on BIM. Summary of the Invention

[0005] The purpose of the present invention is to provide a method for constructing a medical building based on BIM, which solves the problem that when the data used by BIM technology in the construction process of medical buildings is inaccurate, it will lead to the inability of BIM technology to provide accurate simulation services for the construction of medical buildings.

[0006] The technical solution adopted by the present invention is specifically as follows: The present invention provides a method for constructing a medical building based on BIM, including: Step S101, obtain medical building construction data and user requirement data. The medical building construction data includes building data, building structure data, building water supply and drainage data, building heating, ventilation and air conditioning (HVAC) data, building electrical data, construction plan modification data, and natural environment data of the building construction area. The user requirement data includes user basic information data, space requirement data, function requirement data, environment requirement data, safety requirement data, and equipment requirement data; Step S102, extract data features from the medical building construction data to obtain a set of medical building construction data features, including building data features, building structure data features, building water supply and drainage data features, building HVAC data features, building electrical data features, construction plan modification data features, and natural environment data features of the building construction area. According to the types of features in the set of medical building construction data features, establish corresponding medical building construction modules. The medical building construction modules include a building data module, a building structure data module, a building water supply and drainage data module, a building HVAC data module, a building electrical data module, a construction plan modification data module, and a natural environment data module of the building construction area; Step S103, establish a corresponding relationship between the user requirement data and the medical building construction modules to obtain the corresponding relationship between the user requirement data and the medical building construction modules. Establish a data processing group according to the corresponding relationship between the user requirement data and the medical building construction modules, and establish corresponding data processing spaces for the data in each data processing group. The data processing spaces include an original data processing space and a mirror data processing space; Step S104, collect the data generated in real time during the construction of the medical building, screen and classify the data generated in real time during the construction of the medical building to obtain the screened and classified real-time data of the medical building construction. Establish a corresponding relationship between the screened and classified real-time data of the medical building construction and the medical building construction modules. According to the corresponding relationship between the screened and classified real-time data of the medical building construction and the medical building construction modules, substitute the screened and classified real-time data of the medical building construction into the corresponding data processing spaces to obtain the data to be processed in the data processing spaces; Step S105: Copy the data to be processed in the data processing space to obtain the first data to be processed and the second data to be processed. Substitute the first data to be processed into the original data processing space and use the medical building construction simulation model in the original data processing space to process the data, obtaining the first medical building construction simulation result. Substitute the second data to be processed into the medical building construction simulation model in the mirror data processing space to process the data, obtaining the second medical building construction simulation result. Compare the first medical building construction simulation result with the second medical building construction simulation result. If the difference between the first medical building construction simulation result and the second medical building construction simulation result is greater than the preset range value, optimize the medical building construction simulation model and perform accuracy detection on the screened and classified real-time data of medical building construction to obtain the optimized medical building construction simulation model and the qualified screened and classified real-time data of medical building construction. Process the qualified screened and classified real-time data of medical building construction through the optimized medical building construction simulation model to obtain the optimized medical building construction simulation result.

[0007] Further, for the method for constructing a medical building based on BIM provided by the present invention, the step S103 includes: The user requirement data includes user basic information data, space requirement data, function requirement data, environmental requirement data, safety requirement data, and equipment requirement data. Identify the association relationship between each data item in the user requirement data and the medical building construction module. Match each data item in the user requirement data with the medical building construction module, establish a corresponding relationship, associate the user requirement data with the building data module and the building structure data module, and create a data processing group based on the corresponding relationship between the user requirement data and the medical building construction module. Each data processing group includes a set of user requirement data and the corresponding medical building construction module data. For the data in each data processing group, establish a corresponding data processing space. The data processing space includes an original data processing space and a mirror data processing space. The original data processing space is used to store and process the original data, and the mirror data processing space is used to store and process the copy of the data. Import the user requirement data and the medical building construction module data into the corresponding data processing space for data initialization and preprocessing work, and check the integrity and accuracy of the data.

[0008] Further, for the method for constructing a medical building based on BIM provided by the present invention, the step S104 includes: The building data module is used to collect the data generated during the construction of a medical building. After preprocessing the data generated during the construction of the medical building, it classifies the preprocessed data generated during the construction of the medical building and establishes identification tags for the classified data generated during the construction of the medical building. The building structure data module collects the construction structure data of the medical building, the building water supply and drainage data module collects the building water supply and drainage data, the building heating, ventilation and air conditioning data module collects the building heating, ventilation and air conditioning data, the building electrical data module collects the building electrical data, the construction plan modification data module collects the construction plan modification data, and the natural environment data module of the building construction area collects the natural environment data of the building construction area. It matches the construction structure data of the medical building, the building water supply and drainage data, the building heating, ventilation and air conditioning data, the building electrical data collected by the building electrical data module, the construction plan modification data, and the natural environment data collected from the building construction area with the identification tags to obtain the medical building data identification tags.

[0009] Furthermore, for the method for constructing a medical building based on BIM provided by the present invention, the step S104 includes: According to the medical building data identification tags, a corresponding data storage space is established to detect the accuracy of the data corresponding to the medical building data identification tags, and a data detection storage space group is obtained. Use a preset dynamic data detection model to sequentially detect the data in the data detection storage space group, and obtain the data detection storage space data detection results. The data detection storage space data detection results include qualified data and unqualified data. Determine the time when the unqualified data is generated. According to the time when the unqualified data is generated, retrieve the historical data of the corresponding period. Substitute the historical data retrieved according to the time when the unqualified data is generated into a preset data simulation model for simulation to obtain the period simulation data. Match according to the time when the unqualified data is generated in the period simulation data to obtain the simulation data corresponding to the unqualified data, and replace the unqualified data in the data detection storage space group with the unqualified simulation data.

[0010] Furthermore, for the method for constructing a medical building based on BIM provided by the present invention, the step S104 includes: According to the characteristics of the real-time data for constructing a medical building after screening and classification, determine the corresponding relationship between this data and the medical building construction module. Substitute the real-time data for constructing a medical building after screening and classification into the identified data processing space. After the data is substituted, according to the requirements of the data processing space and the needs of subsequent data processing, preprocess the data. The preprocessing includes data format conversion, data cleaning, and data normalization. The real-time data of the medical building after screening and classification has been successfully substituted into the corresponding data processing space, and after preprocessing, the data to be processed in the data processing space is obtained.

[0011] After obtaining the data to be processed, data verification is carried out. If the data is abnormal or incorrect, it is corrected and reprocessed.

[0012] Furthermore, for the method for constructing a medical building based on BIM provided by the present invention, the step S105 includes: Substitute the second data to be processed into the mirror data processing space. In the mirror data processing space, use the configured simulation model for constructing a medical building to process the second data to be processed. Through the data processing of the simulation model for constructing a medical building in the mirror data processing space, a second simulation result for constructing a medical building is obtained.

[0013] Furthermore, for the method for constructing a medical building based on BIM provided by the present invention, the step S105 includes: Compare the first simulation result for constructing a medical building with the second simulation result for constructing a medical building in detail, determine the difference between the first simulation result for constructing a medical building and the second simulation result for constructing a medical building, and calculate the difference value. The calculated difference value is used to compare with a preset range value; Compare the calculated difference value with the preset range value. If the difference value is greater than the preset range value, optimize the simulation model for constructing a medical building; Conduct accuracy detection on the real-time data of the medical building after screening and classification. The detection process includes data verification, error troubleshooting, and data correction; Use the optimized simulation model for constructing a medical building to process the real-time data of the medical building after screening and classification that has passed the detection, and obtain an optimized simulation result for constructing a medical building.

[0014] The technical effects achieved by the present invention are: Through real-time data collection and processing, data screening and classification, and a dual data processing (original data processing space and mirror data processing space) mechanism, the present invention significantly improves the accuracy of data in the process of constructing a medical building. Use a preset dynamic data detection model to detect the collected data, ensure the quality of the data, and reduce design and construction problems caused by data errors.

[0015] The present invention verifies the stability and consistency of the model by comparing the simulation results in two independent processing spaces (original data processing space and mirror data processing space). If the difference between the two simulation results exceeds the preset range, the model is optimized, and the data is subjected to accuracy detection, thereby ensuring the reliability of the final simulation result.

[0016] The present invention solves the problem that the BIM technology cannot provide accurate simulation services due to inaccurate data during the construction process of medical buildings. Through the optimized BIM model, it can more accurately simulate the construction process of medical buildings and discover and solve potential problems in advance.

[0017] Through the real-time collaborative design of BIM technology, design conflicts are reduced and design efficiency is improved. At the same time, the BIM model provides accurate data support for material procurement and construction, reducing material waste and construction changes.

[0018] The method provided by the present invention supports the whole-process management from planning, design, construction to operation and maintenance. Through the BIM model, real-time monitoring of construction progress, quality, safety, etc. is realized to ensure the smooth progress of the construction process. By deeply understanding user needs and establishing corresponding relationships with medical building construction modules, the method of the present invention ensures that the design and use of medical buildings can meet actual needs and improve the user experience. The BIM technology realizes real-time collaborative design among multiple disciplines such as architecture, structure, water supply and drainage, heating, ventilation, and electricity by establishing a unified information model, improving design efficiency and quality.

[0019] In summary, through a series of innovative data processing and simulation verification mechanisms, the present invention significantly improves the accuracy of data and the reliability of the model during the construction process of medical buildings, provides strong technical support for the design, construction, and operation and maintenance of medical buildings, and promotes the scientificity and efficiency of project management. Brief Description of the Drawings

[0020] Figure 1 is a flowchart of a BIM-based medical building construction method of the present invention. Detailed Embodiment

[0021] In order to make the purpose and advantages of the present invention more clear, the present invention will be specifically described below in conjunction with embodiments. It should be understood that the following text is only used to describe one or several specific implementation manners of the present invention and does not strictly limit the scope of protection of the specific requests of the present invention.

[0022] The present invention provides a BIM-based medical building construction method, including: Step S101, obtaining medical building construction data and user requirement data. The medical building construction data includes building data, building structure data, building water supply and drainage data, building heating, ventilation and air conditioning data, building electrical data, construction plan modification data, and natural environment data of the building construction area. The user requirement data includes user basic information data, space requirement data, function requirement data, environment requirement data, safety requirement data, and equipment requirement data; In step S101, the core of the method of the present invention lies in comprehensively and elaborately collecting various data required for the construction of medical buildings and deeply understanding the needs of users. These data are the basis for subsequent construction of accurate BIM models, simulation, and analysis.

[0023] The data for the construction of medical buildings covers various types of information involved in the whole process from architectural design to construction, specifically including: Architectural data: including basic information such as the overall layout, dimensions, and shape of the building, which is the basic framework of the BIM model.

[0024] Building structure data: describing the structural form, load-bearing system, material usage, etc. of the building, which is crucial for ensuring the safety and stability of the building.

[0025] Building water supply and drainage data: involving the layout, pipeline routing, equipment selection, etc. of systems such as water supply, drainage, and fire protection, ensuring the rational use of water resources and fire safety inside the building.

[0026] Building heating, ventilation, and air conditioning (HVAC) data: including design schemes, equipment parameters, pipeline layouts, etc. of systems such as heating, ventilation, and air conditioning, which affect the comfort and energy efficiency of the building.

[0027] Building electrical data: covering the layout of the power system, distribution equipment, lighting, weak current systems, etc., ensuring the electrical safety and intelligent operation of the building.

[0028] Data on construction plan modifications: recording the adjustments and optimizations to the original design plan during the construction process, reflecting the needs and changes in actual construction.

[0029] Natural environment data of the building construction area: including geological conditions, climate conditions, surrounding environment, etc., which have an important impact on the selection and implementation of the construction plan.

[0030] User requirement data is the starting point and ending point of the design of medical buildings, directly related to the use effect and user experience of the building, specifically including: Basic user information data: such as basic information like hospital name, geographical location, scale, etc.

[0031] Space requirement data: describing the space requirements of different departments, wards, operating rooms, etc., including area, height, layout, etc.

[0032] Functional requirement data: clarifying the functional requirements that the building needs to meet, such as emergency treatment, surgical operation, patient rehabilitation, etc.

[0033] Environmental requirement data: paying attention to the physical environment inside the building, such as temperature, humidity, lighting, ventilation, etc., to ensure comfort and health.

[0034] Safety requirement data: Emphasize the safety performance of the building, including requirements in aspects such as fire protection, evacuation, and earthquake resistance.

[0035] Equipment requirement data: List various types of equipment required in the building, as well as information such as their specifications, quantities, and locations.

[0036] By comprehensively collecting and analyzing this data, the method of the present invention provides a solid foundation for subsequent BIM model construction and simulation analysis, ensuring that the design, construction, and use of medical buildings can meet actual needs and improving the overall efficiency of the project.

[0037] Step S102: Extract data features from the medical building construction data to obtain a set of medical building construction data features, including building data features, building structure data features, building water supply and drainage data features, building heating, ventilation, and air conditioning (HVAC) data features, building electrical data features, construction plan modification data features, and natural environment data features of the building construction area. According to the types of features in the set of medical building construction data features, establish corresponding medical building construction modules, which include a building data module, a building structure data module, a building water supply and drainage data module, a building HVAC data module, a building electrical data module, a construction plan modification data module, and a natural environment data module of the building construction area; In step S102, through a detailed data feature extraction process, the present invention transforms complex medical building construction data into a structured feature set, providing a clear framework for subsequent model construction and data processing.

[0038] First, deeply analyze all data types involved in the medical building construction process and extract their respective key features, including: Building data features: May include the number of floors, room layout, building height, etc.

[0039] Building structure data features: Such as the location of load-bearing walls, beam and column arrangements, structural materials, etc.

[0040] Building water supply and drainage data features: Pipe diameter, water flow rate, equipment capacity, etc.

[0041] Building HVAC data features: Heating area, ventilation volume, air conditioning efficiency, etc.

[0042] Building electrical data features: Electrical load, cable specifications, lighting layout, etc.

[0043] Construction plan modification data features: Modification time, modification content, scope of influence, etc.

[0044] Natural environment data features of the building construction area: Soil type, groundwater level, climate conditions, etc.

[0045] Based on the above-mentioned types of extracted data features, the present invention further establishes a plurality of medical building construction modules, each module specifically dealing with one type of data. The modules include: Building data module: Responsible for processing data related to the overall layout and basic information of the building.

[0046] Building structure data module: Focus on processing data related to building structure design and material usage.

[0047] Building water supply and drainage data module: Manage the design parameters and equipment selection data of the water supply and drainage system.

[0048] Building heating, ventilation and air conditioning data module: Involve data processing of heating, ventilation and air conditioning systems.

[0049] Building electrical data module: Process the layout and equipment data of power systems, lighting and low-voltage systems.

[0050] Construction plan modification data module: Track and record plan changes and adjustments during the construction process.

[0051] Natural environment data module of the building construction area: Collect and analyze the impact of natural environments such as geology and climate on construction.

[0052] Through module division, the present invention not only improves the efficiency of data processing, but also facilitates collaborative work among multiple specialties, reducing the possibility of data conflicts and errors. Each module can be optimized according to its own characteristics and requirements, thereby further enhancing the accuracy and reliability of the entire medical building construction process.

[0053] Step S103: Establish a corresponding relationship between the user demand data and the medical building construction modules to obtain the corresponding relationship between the user demand data and the medical building construction modules. Based on the corresponding relationship between the user demand data and the medical building construction modules, establish a data processing group, and establish corresponding data processing spaces for the data within each data processing group. The data processing spaces include an original data processing space and a mirror data processing space; In step S103, the method of the present invention realizes the process of guiding building design and data processing starting from user requirements by establishing a corresponding relationship between the user demand data and the medical building construction modules. The following is a detailed explanation of this step: First, identify the association relationship between each data item (such as user basic information, space requirements, functional requirements, etc.) in the user demand data and the medical building construction modules (such as building data module, building structure data module, etc.). For example, the user's functional requirement data may directly affect the room layout in the building data module and the air conditioning system configuration in the building heating, ventilation and air conditioning data module.

[0054] Next, each data item in the user requirement data is matched with the corresponding medical building construction module to establish a clear corresponding relationship.

[0055] Based on the above corresponding relationship, a dedicated data processing group is created for each data processing requirement. Each data processing group contains a set of user requirement data and the corresponding medical building construction module data.

[0056] For the data within each data processing group, two corresponding data processing spaces are established: the original data processing space and the mirror data processing space.

[0057] Original data processing space: Used to store and process the original user requirements and building component data. This is the core space for data processing and model construction, and all simulation and analysis work is carried out in this space.

[0058] Mirror data processing space: As a copy of the original data processing space, it is used for data verification and comparison. The existence of the mirror space improves the repeatability of the data processing process and the reliability of the results.

[0059] By setting up the original data processing space and the mirror data processing space, the method of the present invention can, while ensuring the data processing efficiency, further improve the accuracy and reliability of data processing through the data verification function of the mirror space.

[0060] In summary, step S103 lays a solid foundation for the subsequent BIM model construction and simulation analysis by precisely matching user requirements with building construction modules and creating dedicated data processing groups and processing spaces.

[0061] Step S104: Collect the data generated in real time during the construction of the medical building, screen and classify the data generated in real time during the construction of the medical building to obtain the screened and classified real-time data of the medical building construction, establish a corresponding relationship between the screened and classified real-time data of the medical building construction and the medical building construction module, and substitute the screened and classified real-time data of the medical building construction into the corresponding data processing space according to the corresponding relationship between the screened and classified real-time data of the medical building construction and the medical building construction module to obtain the data to be processed in the data processing space; In step S104, the method of the present invention further ensures the accuracy and timeliness of the real-time data during the construction of the medical building, thereby improving the dynamic update ability and simulation accuracy of the BIM model. The following is a detailed explanation of this step: First, the system collects various data generated during the construction of the medical building in real time, including but not limited to construction progress, material usage, environmental condition changes, etc. These data are the basis for the dynamic update of the BIM model.

[0062] Screen and classify the collected real-time data. According to the data type and characteristics, classify it into different categories, such as building structure change data, water supply and drainage system operation data, electrical system energy consumption data, etc.

[0063] Establish a corresponding relationship between the screened and classified real-time data of the medical building and the corresponding medical building construction modules. For example, the building structure change data should correspond to the building structure data module, and the water supply and drainage system operation data should correspond to the building water supply and drainage data module.

[0064] According to the corresponding relationship between the real-time data and the construction modules, substitute the screened and classified data into the corresponding data processing spaces. In the original data processing space, these data will be used for the dynamic update and simulation analysis of the BIM model, while in the mirror data processing space, they will be used for data verification and comparison to ensure the accuracy and consistency of the data.

[0065] After substituting the data into the processing space, a series of preprocessing tasks are also required, including data format conversion, data cleaning, and data normalization, etc. The preprocessing steps help to eliminate noise and outliers in the data, improving the usability and processing efficiency of the data.

[0066] Through steps such as data collection, screening and classification, establishment of corresponding relationships, and substitution of data into the processing space in step S104, the method of the present invention realizes the precise management and efficient processing of real-time data during the construction of medical buildings. This not only improves the real-time update ability and simulation accuracy of the BIM model, but also provides a reliable data basis for subsequent data analysis and decision support.

[0067] In step S105, copy the data to be processed in the data processing space to obtain the first data to be processed and the second data to be processed. Substitute the first data to be processed into the original data processing space and perform data processing through the medical building construction simulation model in the original data processing space to obtain the first medical building construction simulation result. Substitute the second data to be processed into the medical building construction simulation model in the mirror data processing space to perform data processing to obtain the second medical building construction simulation result. Compare the first medical building construction simulation result with the second medical building construction simulation result. If the difference between the first medical building construction simulation result and the second medical building construction simulation result is greater than the preset range value, optimize the medical building construction simulation model and perform accuracy detection on the screened and classified real-time data of the medical building construction to obtain the optimized medical building construction simulation model and the qualified screened and classified real-time data of the medical building construction. Perform data processing on the qualified screened and classified real-time data of the medical building construction through the optimized medical building construction simulation model to obtain the optimized medical building construction simulation result.

[0068] In step S105, the present invention adopts an innovative data processing and verification mechanism to improve the accuracy and reliability of the BIM model of medical buildings. The following is a detailed analysis of this step: First, the system copies the data to be processed in the data processing space to generate two identical data copies: the first data to be processed and the second data to be processed. The purpose of this is to verify the accuracy of the data and the consistency of the model through a dual processing mechanism.

[0069] The first data to be processed: is substituted into the original data processing space and is first processed through the medical building construction simulation model in this space. This processing process simulates the construction process of the medical building and generates the first medical building construction simulation result.

[0070] The second data to be processed: is substituted into the mirrored data processing space and is also processed through the medical building construction simulation model in this space to generate the second medical building construction simulation result. The mirrored data processing space, as a copy of the original space, is used to verify the accuracy of the processing result of the original space.

[0071] The system makes a detailed comparison between the first medical building construction simulation result and the second medical building construction simulation result. The purpose of the comparison is to check whether there are significant differences between the two simulation results. If the difference between the two simulation results is within the preset range value, it indicates that the model processing results are consistent and the data is accurate and error-free, and subsequent work can be continued. If the difference is greater than the preset range value, it indicates that there may be problems in the simulation process, and the reasons need to be further analyzed and measures taken.

[0072] When it is found that the difference in the simulation results exceeds the preset range, the system will start the optimization and detection process: Model optimization: Optimize and adjust the medical building construction simulation model to improve its accuracy and stability. This may involve fine-tuning of model parameters, improvement of algorithms, or introduction of new simulation mechanisms, etc.

[0073] Data accuracy detection: Re-detect and verify the real-time data of the medical building components after screening and classification. This step uses more stringent detection standards and methods to ensure the quality and accuracy of all input data. The detection process may include data integrity check, outlier processing, data consistency analysis, etc.

[0074] After model optimization and data detection, the system uses the optimized medical building construction simulation model to process the real-time data of the screened and classified medical building components that have passed the detection again. The result generated by this processing is the optimized medical building construction simulation result, which is more accurate and reliable and can truly reflect the construction situation and performance of the medical building.

[0075] Step S105 ensures the accuracy and reliability of the BIM model of medical buildings through a series of processes such as data replication, dual processing, result comparison, model optimization, and data detection. This mechanism not only improves the processing efficiency and stability of the model but also provides strong technical support and decision-making basis for the design, construction, and operation and maintenance of medical buildings.

[0076] Specifically, for the method for constructing a medical building based on BIM provided by the present invention, the step S103 includes: The user requirement data includes user basic information data, space requirement data, function requirement data, environmental requirement data, safety requirement data, and equipment requirement data. Identify the association relationship between each data item in the user requirement data and the medical building construction module. Match each data item in the user requirement data with the medical building construction module, establish a corresponding relationship, associate the user requirement data with the building data module and the building structure data module, and create a data processing group based on the corresponding relationship between the user requirement data and the medical building construction module. Each data processing group includes a set of user requirement data and the corresponding medical building construction module data. For the data in each data processing group, establish a corresponding data processing space. The data processing space includes an original data processing space and a mirror data processing space. The original data processing space is used to store and process the original data, while the mirror data processing space is used to store and process the copy of the data. Import the user requirement data and the medical building construction module data into the corresponding data processing space for data initialization and preprocessing work, and check the integrity and accuracy of the data.

[0077] Specifically, for the method for constructing a medical building based on BIM provided by the present invention, the step S104 includes: The building data module is used to collect the data generated during the construction process of the medical building. After preprocessing the data generated during the construction process of the medical building, classify the preprocessed data generated during the construction process of the medical building and establish an identification label for the classified data generated during the construction process of the medical building. The building structure data module collects the construction structure data of the medical building, the building water supply and drainage data module collects the building water supply and drainage data, the building heating, ventilation and air conditioning data module collects the building heating, ventilation and air conditioning data, the building electrical data module collects the building electrical data, the construction plan modification data module collects the construction plan modification data, and the natural environment data module of the building construction area collects the natural environment data of the building construction area. The construction structure data of the medical building, the building water supply and drainage data, the building heating, ventilation and air conditioning data, the building electrical data, the construction plan modification data, and the natural environment data of the building construction area are matched with the identification tags to obtain the medical building data identification tags.

[0078] Specifically, for the method for constructing a medical building based on BIM provided by the present invention, the step S104 includes: According to the medical building data identification tags, corresponding data storage spaces are established to detect the accuracy of the data corresponding to the medical building data identification tags, and a group of data detection storage spaces is obtained; The preset dynamic data detection model is used to sequentially detect the data in the data detection storage space group, and a data detection storage space data detection result is obtained. The data detection storage space data detection result includes qualified data and unqualified data; Determine the time when the unqualified data is generated. According to the time when the unqualified data is generated, the historical data of the corresponding period is retrieved. The historical data of the corresponding period retrieved according to the time when the unqualified data is generated is substituted into the preset data simulation model for simulation to obtain the period simulation data. According to the time when the unqualified data is generated, matching is performed in the period simulation data to obtain the simulation data corresponding to the unqualified data. The unqualified simulation data is used to replace the unqualified data in the data detection storage space group.

[0079] Specifically, for the method for constructing a medical building based on BIM provided by the present invention, the step S104 includes: According to the characteristics of the real-time data for constructing the medical building after screening and classification, determine the corresponding relationship between this data and the medical building construction module; Substitute the real-time data for constructing the medical building after screening and classification into the identified data processing space. After the data is substituted, according to the requirements of the data processing space and the needs of subsequent data processing, preprocess the data. The preprocessing includes data format conversion, data cleaning, and data normalization; The real-time data for constructing the medical building after screening and classification has been successfully substituted into the corresponding data processing space and preprocessed to obtain the data to be processed in the data processing space.

[0080] After obtaining the data to be processed, perform data verification. If the data is abnormal or incorrect, correct and reprocess it.

[0081] Specifically, for the method for constructing a medical building based on BIM provided by the present invention, step S105 includes: Substitute the second data to be processed into the mirror data processing space. In the mirror data processing space, use the configured simulation model for constructing a medical building to process the second data to be processed. Through the data processing of the simulation model for constructing a medical building in the mirror data processing space, obtain the second simulation result for constructing a medical building.

[0082] Specifically, for the method for constructing a medical building based on BIM provided by the present invention, step S105 includes: Compare the first simulation result for constructing a medical building with the second simulation result for constructing a medical building in detail, determine the difference between the first simulation result for constructing a medical building and the second simulation result for constructing a medical building, and calculate the difference value. The calculated difference value is used to compare with a preset range value; Compare the calculated difference value with the preset range value. If the difference value is greater than the preset range value, optimize the simulation model for constructing a medical building; Perform accuracy detection on the real-time data for constructing a medical building after screening and classification. The detection process includes data verification, error troubleshooting, and data correction; Use the optimized simulation model for constructing a medical building to process the real-time data for constructing a medical building after screening and classification that has passed the detection, and obtain the optimized simulation result for constructing a medical building.

[0083] The present invention provides a method for constructing a medical building based on BIM, aiming to solve the problem that the BIM technology cannot provide accurate simulation services due to inaccurate data during the construction process of a medical building. The specific solution is as follows: First, comprehensively obtain the data required during the construction process of a medical building, including medical building construction data such as building data, building structure data, water supply and drainage data, heating, ventilation, and air conditioning data, electrical data, construction plan modification data, and natural environment data of the building construction area. At the same time, collect user demand data such as the basic information, space requirements, functional requirements, environmental requirements, safety requirements, and equipment requirements of users.

[0084] Extract the features of the obtained medical building component data to form a data feature set. According to these feature types, establish corresponding medical building construction modules, including a building data module, a building structure data module, a water supply and drainage data module, a heating, ventilation, and air conditioning data module, an electrical data module, a construction plan modification data module, and a natural environment data module.

[0085] Establish a correspondence between user requirement data and medical building construction modules, and create data processing groups according to this correspondence. Each data processing group includes a set of user requirement data and the corresponding medical building construction module data. Create corresponding data processing spaces for the data within each data processing group, including an original data processing space and a mirrored data processing space, for processing the original data and data copies.

[0086] Collect data in real time during the construction of a medical building and perform screening and classification. Establish a correspondence between the classified real-time data and the medical building construction modules, and substitute them into the corresponding data processing spaces. Within the data processing spaces, preprocess the data, including format conversion, cleaning, and normalization, to ensure the accuracy and consistency of the data.

[0087] Copy the data to be processed into two copies, and substitute them into the original data processing space and the mirrored data processing space for processing respectively. Obtain two simulation results through independent medical building construction simulation models in the two spaces and compare them.

[0088] If the difference between the two simulation results is within the preset range, the data is considered accurate and the simulation results are credible.

[0089] If the difference exceeds the preset range, optimize the simulation model and perform accuracy detection on the real-time data. Use historical data for time period simulation to replace unqualified data until the data is qualified.

[0090] When the difference in simulation results is large, optimize the medical building construction simulation model and perform more stringent accuracy detection and correction on the real-time data. After ensuring that all data is accurate, use the optimized model to reprocess the data to obtain the final accurate medical building construction simulation results.

[0091] Through the method of the present invention, the problem of inaccurate simulation services caused by inaccurate data in the process of medical building construction using BIM technology can be effectively solved. Through real-time data collection and processing, dual-space simulation comparison and verification, and dual optimization of the model and data, the accuracy and reliability of the simulation results are ensured, and the efficiency and quality of medical building construction are improved.

[0092] The above is only the preferred embodiment of the present invention. It should be noted that for those of ordinary skill in the art, without departing from the principle of the present invention, several improvements and refinements can be made, and these improvements and refinements should also be regarded as the protection scope of the present invention. The structures, devices, and operation methods not specifically described and explained in the present invention, unless otherwise specified and limited, are implemented according to the conventional means in the art.

Claims

1. A BIM-based medical building construction method, characterized in that: include: Step S101, obtaining medical building construction data and user demand data, the medical building construction data including building data, building structure data, building water supply and drainage data, building HVAC data, building electrical data, construction plan modification data and building construction area natural environment data, the user demand data including user basic information data, space demand data, function demand data, environment demand data, safety demand data and equipment demand data; Step S102, extracting data features from the medical building construction data to obtain a medical building construction data feature set, including building data features, building structure data features, building water supply and drainage data features, building HVAC data features, building electrical data features, construction plan modification data features, and building construction area natural environment data features; according to the feature types in the medical building construction data feature set, establishing a corresponding medical building construction module, the medical building construction module including a building data module, a building structure data module, a building water supply and drainage data module, a building HVAC data module, a building electrical data module, a construction plan modification data module, and a building construction area natural environment data module; Step S103, establishing a correspondence between the user demand data and the medical building construction module, obtaining the correspondence between the user demand data and the medical building construction module, establishing a data processing group according to the correspondence between the user demand data and the medical building construction module, and establishing a corresponding data processing space for the data in each data processing group, wherein the data processing space includes an original data processing space and a mirror data processing space; Step S104, collecting data generated in real time by the construction of medical buildings, screening and classifying the data generated in real time by the construction of medical buildings, obtaining the screened and classified real-time data of the construction of medical buildings, establishing a corresponding relationship between the screened and classified real-time data of the construction of medical buildings and the medical building construction modules, and according to the corresponding relationship between the screened and classified real-time data of the construction of medical buildings and the medical building construction modules, substituting the screened and classified real-time data of the construction of medical buildings into the corresponding data processing space, obtaining the data to be processed in the data processing space; Step S105, copy the data to be processed in the data processing space to obtain the first data to be processed and the second data to be processed, substitute the first data to be processed into the original data processing space and perform data processing through the medical building construction simulation model in the original data processing space to obtain the first medical building construction simulation result, substitute the second data to be processed into the medical building construction simulation model in the mirror data processing space for data processing to obtain the second medical building construction simulation result, compare the first medical building construction simulation result with the second medical building construction simulation result, if the first medical building construction simulation result and the second medical building construction simulation result are greater than the preset range value, optimize the medical building construction simulation model and perform accuracy detection on the screened and classified medical building construction real-time data to obtain the optimized medical building construction simulation model and the screened and classified medical building construction real-time data that pass the detection, perform data processing on the screened and classified medical building construction real-time data through the optimized medical building construction simulation model to obtain the optimized medical building construction simulation result.

2. The method for constructing a medical building based on BIM according to claim 1, characterized in that: The step S103 includes: User demand data includes user basic information data, space demand data, functional demand data, environmental demand data, safety demand data and equipment demand data, and identifies the association between each data item in the user demand data and the medical building construction module; Match each data item in the user demand data with a medical building construction module, establish a corresponding relationship, associate the user demand data with a building data module and a building structure data module, and create a data processing group based on the corresponding relationship between the user demand data and the medical building construction module, each data processing group includes a set of user demand data and corresponding medical building construction module data; For the data in each data processing group, a corresponding data processing space is established. The data processing space includes an original data processing space and a mirror data processing space. The original data processing space is used to store and process the original data, and the mirror data processing space is used to store and process copies of the data. Import user demand data and medical building construction module data into the corresponding data processing space, perform data initialization and preprocessing, and check the integrity and accuracy of the data.

3. The BIM-based medical building construction method according to claim 1, characterized in that: The step S104 includes: The building data module is used to collect data generated during the construction of medical buildings, pre-process the data generated during the construction of medical buildings, classify the pre-processed data generated during the construction of medical buildings, and establish identification tags for the classified data generated during the construction of medical buildings; The building structure data module collects the medical building construction structure data, the building water supply and drainage data module collects the building water supply and drainage data, the building HVAC data module collects the building HVAC data, the building electrical data module collects the building electrical data, the construction plan modification data module collects the construction plan modification data, and the construction area natural environment data module collects the construction area natural environment data. The medical building construction structure data, building water supply and drainage data, building HVAC data, building electrical data collected by the building electrical data module, the construction plan modification data and the collection of the construction area natural environment data are matched with the identification label to obtain the medical building data identification label.

4. The method for constructing a medical building based on BIM according to claim 3, characterized in that: The step S104 includes: According to the medical building data identification tag, a corresponding data storage space is established to detect the accuracy of the data corresponding to the medical building data identification tag, and a data detection storage space group is obtained; Using a preset dynamic data detection model to detect the data in the data detection storage space group in turn, to obtain the data detection storage space data detection result, the data detection storage space data detection result includes the detection qualified data and the detection unqualified data; Determine the time when the unqualified test data is generated, retrieve the historical data of the corresponding time period according to the time when the unqualified test data is generated, substitute the historical data of the corresponding time period at the time when the unqualified test data is generated into a preset data simulation model for simulation, and obtain the time period simulation data, match the time period simulation data according to the time when the unqualified test data is generated, obtain the simulation data corresponding to the unqualified test data, and replace the unqualified test data with the unqualified simulation data in the data detection storage space group.

5. The method for constructing a medical building based on BIM according to claim 4, characterized in that: The step S104 includes: According to the characteristics of the screened and classified real-time data of medical building construction, the corresponding relationship between these data and the medical building construction modules is determined; Substitute the screened and classified real-time data of medical building construction into the identified data processing space. After the data is substituted, the data is preprocessed according to the requirements of the data processing space and the needs of subsequent data processing. The preprocessing includes data format conversion, data cleaning and data normalization. The real-time data of medical building construction after screening and classification has been successfully substituted into the corresponding data processing space, and after preprocessing, the data to be processed in the data processing space is obtained; After obtaining the data to be processed, the data is verified. If the data is abnormal or wrong, it is corrected and reprocessed.

6. The method for constructing a medical building based on BIM according to claim 1, characterized in that: The step S105 includes: The second data to be processed is substituted into the mirror data processing space. In the mirror data processing space, the second data to be processed is processed using the configured medical building construction simulation model. By processing the data of the medical building construction simulation model in the mirror data processing space, a second medical building construction simulation result is obtained.

7. The BIM-based medical building construction method according to claim 7, characterized in that: The step S105 includes: Comparing the first medical building construction simulation result with the second medical building construction simulation result in detail, determining the difference between the first medical building construction simulation result and the second medical building construction simulation result, and calculating the difference value, which is used for comparison with a preset range value; The calculated difference value is compared with a preset range value, and if the difference value is greater than the preset range value, the medical building construction simulation model is optimized; Conduct accuracy testing on the real-time data of medical building construction after screening and classification. The testing process includes data verification, error detection and data correction; The optimized medical building construction simulation model is used to process the real-time data of medical building construction that has passed the screening and classification test to obtain the optimized medical building construction simulation results.

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