A three-dimensional forward visualization modeling design method based on BIM

Abstract

The present invention relates to the technical field of the construction industry, and discloses a design method based on BIM three-dimensional forward visualization modeling, S1, first establish a big data module to store historical information and record real-time information; S2, then establish a cloud computing module to calculate data obtained from the big data module; S3, finally establish a management module and a feedback module, the management module is used to manage the data calculated by the cloud computing module, and transmit it to the feedback module through the network, so that it continuously monitors the entire system and forms a closed-loop management, the present invention uses a formula to calculate the BIM model integrity index value Eg through the cloud computing module to help evaluate the information integrity of the BIM model in the design, construction and operation stages, so as to ensure the smooth progress of the project and reduce the cost and time loss caused by missing or wrong information; the present invention calculates the equipment maintenance cycle Ctw by considering the influence of temperature, humidity and dust on the operation of the equipment, so as to predict the maintenance needs of the equipment.

Description

Technical Field

[0001] The present invention relates to the technical field of construction industry, and in particular to a three-dimensional forward visualization modeling design method based on BIM. Background Art

[0002] 3D modeling technology is a key step in converting and reconstructing 3D models from 2D images. It covers image acquisition, feature point detection, stereo matching and 3D reconstruction. Image acquisition requires multi-angle and high-resolution images as the basis for modeling, while feature point detection uses algorithms to identify key visual features in images, such as corners, edges and texture areas. Stereo matching pairs images from different perspectives and finds corresponding feature points. Finally, 3D reconstruction converts these data into a 3D model containing geometric shapes and appearance features.

[0003] Rendering technology comes into play after modeling is completed. It generates realistic images or animations by simulating physical principles such as light propagation and reflection, and converts three-dimensional models into two-dimensional images. Common rendering engines such as Unity and UnrealEngine provide two modes of real-time rendering and offline rendering, support complex lighting and material effects, and make the model realistic and visually appealing.

[0004] Data processing and algorithms also play a vital role in the modeling process. Deep learning techniques are applied to feature point detection and stereo matching, and convolutional neural network (CNN) models are trained to improve accuracy and robustness. Data processing libraries such as NumPy and Pandas are used to process and analyze large-scale data sets, helping to optimize the accuracy and efficiency of the model.

[0005] Interactive design and optimization are an important part of 3D forward visualization modeling. Using front-end development technologies such as HTML, CSS, and JavaScript to implement interface interaction, users can zoom, rotate, and roam the model through the browser. This interactive design not only improves the user experience, but also helps to better understand and analyze complex models.

[0006] The application of VR and AR technologies has brought new application scenarios to 3D forward visualization modeling. These technologies can interact and integrate 3D scenes with the real world, providing users with an immersive experience. For example, VR technology can be used to conduct virtual roaming of construction projects, while AR technology can overlay 3D models in the real world for design review and construction simulation.

[0007] Although traditional 3D design has its value in the design and construction phases of a project, it provides less support in the operation and maintenance management of buildings. The 3D forward visualization modeling design method based on BIM can provide continuous support throughout the life cycle of the building, including construction process simulation, facility management, and energy efficiency analysis, which significantly improves the overall operational efficiency of the building. The comprehensiveness and foresight of this technology make it an indispensable tool for modern building design, construction, and operation. Summary of the invention

[0008] 1. Technical issues to be resolved

[0009] In view of the shortcomings of the existing technology, the present invention provides a design method based on BIM three-dimensional forward visualization modeling, which has the advantage of providing continuous support throughout the life cycle of a building, and solves the problem that traditional three-dimensional design provides less continuous support throughout the life cycle of a building.

[0010] (II) Technical solution

[0011] To achieve the above object, the present invention provides the following technical solutions: a three-dimensional forward visual modeling design method based on BIM, comprising a big data module, a cloud computing module, a management module and a feedback module;

[0012] The big data module is used to store and record all data and image information of the system; the big data module is divided into an integrated design platform, an intelligent maintenance platform, a simulation platform, a collaborative work platform and an automation platform;

[0013] The integrated design platform classifies and encodes the information in the big data module to obtain model information category data, the intelligent maintenance platform obtains intelligent maintenance data through the equipment information in the big data module, the simulation platform obtains building energy consumption data through the building use function information in the big data module, the collaborative work platform obtains work data through the project information in the big data module, and the automation platform obtains automation data by connecting to the automation tool through the network. The integrated design platform, intelligent maintenance platform, simulation platform, collaborative work platform and automation platform are all connected to the cloud computing module through the network;

[0014] The cloud computing module includes an integrated design analysis platform, an intelligent maintenance analysis platform, a simulation analysis platform, a collaborative work processing platform and an automated processing platform;

[0015] The integrated design and analysis platform calculates the BIM model integrity index value Eg according to the model information category data, the intelligent maintenance analysis platform calculates the equipment maintenance cycle Ctw according to the intelligent maintenance data, the simulation analysis platform calculates the total energy consumption efficiency Qry according to the building energy consumption data, the collaborative work processing platform calculates the information update frequency EI according to the work data, and the automation processing platform calculates the automation rate Lz according to the automation data. The integrated design and analysis platform, the intelligent maintenance analysis platform, the simulation analysis platform, the collaborative work processing platform and the automation processing platform are all connected to the management module through a network;

[0016] The management module is used to manage the BIM model integrity index value Eg, equipment maintenance cycle Ctw, total energy efficiency Qry, information update frequency EI and automation rate Lz, and the management module is connected to the feedback module through a network;

[0017] After receiving the information from the management module, the feedback module continuously monitors the system, tracks the effects of energy efficiency improvement measures, and adjusts the optimization strategy according to the monitoring results and actual effects to form a closed-loop management.

[0018] Preferably, the integrated design platform numbers the input model information category number and the total number of model information category number that needs to be input according to the model information category data characteristics, and the input model information category number and the total number of model information category number that needs to be input are numbered g1 and g2 respectively.

[0019] Preferably, the integrated design and analysis platform calculates the BIM model integrity index value Eg according to the model information category data, and the calculation formula is:

[0020]

[0021] In the formula, Eg represents the BIM model integrity index value, g1 and g2 represent the number of model information categories that have been input and the total number of model information categories that need to be input, respectively.

[0022] Preferably, the intelligent maintenance platform numbers the total equipment operation time, the total number of equipment failures, the ambient temperature, the ambient humidity and the ambient dust according to the intelligent maintenance data characteristics, and the total equipment operation time, the total number of equipment failures, the ambient temperature, the ambient humidity and the ambient dust are numbered as T, W1, W2, W3.

[0023] Preferably, the intelligent maintenance analysis platform calculates the equipment maintenance cycle Ctw according to the intelligent maintenance data, and the calculation formula is:

[0024]

[0025] In the formula, Ctw represents the equipment maintenance cycle, Indicates the ambient temperature, ambient humidity and ambient dust data within the standard range. W1, W2 and W3 indicate the ambient temperature, ambient humidity and ambient dust data when the device is running. Indicates the safety factor of the impact of ambient temperature, humidity, and dust on the device during operation.

[0026] Preferably, the simulation platform numbers the number of all energy-consuming buildings and the number of buildings that are consuming energy according to the characteristics of the building energy consumption data, and the number of all energy-consuming buildings is numbered as follows: The number of buildings consuming energy is numbered r.

[0027] Preferably, the simulation analysis platform calculates the total energy efficiency Qry based on the building energy consumption data, and the calculation formula is:

[0028]

[0029] In the formula, Qry represents the total energy efficiency, represents the number of all buildings that consume energy, represents the sum of the energy values ​​corresponding to the buildings that are consuming energy, and r represents the number of buildings that are consuming energy. Represents the sum of the energy values ​​corresponding to all energy-consuming buildings.

[0030] Preferably, the collaborative work platform numbers the information update times and the project completion cycle according to the work data characteristics, and the information update times and the project completion cycle are numbered respectively. The collaborative work processing platform calculates the information update frequency EI according to the work data, and the calculation formula is:

[0031]

[0032] In the formula, EI represents the frequency of information update, They represent the number of information updates and the project completion cycle respectively.

[0033] Preferably, the automation platform numbers the number of design tasks completed automatically and the total amount of design tasks completed according to the characteristics of the automation data, and the number of design tasks completed automatically and the total amount of design tasks completed are numbered k1 and k2 respectively. The automation processing platform calculates the automation rate Lz according to the automation data, and the calculation formula is:

[0034]

[0035] In the formula, Lz represents the automation rate, k1 and k2 represent the number of design tasks completed automatically and the total number of design tasks completed, respectively.

[0036] Preferably, the method steps are:

[0037] S1. First, establish a big data module to store historical information and record real-time information;

[0038] S2, then establish a cloud computing module to calculate the data obtained from the big data module;

[0039] S3. Finally, a management module and a feedback module are established. The management module is used to manage the data calculated by the cloud computing module and transmit it to the feedback module through the network, so that it can continuously monitor the entire system and form a closed-loop management.

[0040] Compared with the prior art, the present invention provides a three-dimensional forward visualization modeling design method based on BIM, which has the following beneficial effects:

[0041] 1. The present invention uses a formula to calculate the BIM model integrity index value Eg through a cloud computing module to help evaluate the information integrity of the BIM model in the design, construction and operation stages, thereby ensuring the smooth progress of the project and reducing the cost and time loss caused by missing or incorrect information.

[0042] 2. The intelligent maintenance analysis platform of the present invention calculates the equipment maintenance cycle Ctw by considering the impact of environmental factors (such as temperature, humidity and dust) on equipment operation, so that the management module can more accurately predict the maintenance needs of the equipment and reasonably arrange the maintenance plan, thereby improving the reliability of the equipment and reducing the maintenance cost. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 It is a schematic diagram of the structure of the present invention; DETAILED DESCRIPTION

[0044] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0045] See also Figure 1 , a BIM-based three-dimensional forward visualization modeling design method, including a big data module, a cloud computing module, a management module and a feedback module;

[0046] The big data module is used to store and record all data and image information of the system; the big data module is divided into integrated design platform, intelligent maintenance platform, simulation platform, collaborative work platform and automation platform;

[0047] The integrated design platform classifies and encodes the information in the big data module to obtain model information category data. The intelligent maintenance platform obtains intelligent maintenance data through the equipment information in the big data module. The simulation platform obtains building energy consumption data through the building use function information in the big data module. The collaborative work platform obtains work data through the project information in the big data module. The automation platform obtains automation data by connecting to automation tools through the network. The integrated design platform, intelligent maintenance platform, simulation platform, collaborative work platform and automation platform are all connected to the cloud computing module through the network.

[0048] The cloud computing module includes an integrated design analysis platform, an intelligent maintenance analysis platform, a simulation analysis platform, a collaborative work processing platform, and an automated processing platform;

[0049] The integrated design analysis platform calculates the BIM model integrity index value Eg based on the model information category data, the intelligent maintenance analysis platform calculates the equipment maintenance cycle Ctw based on the intelligent maintenance data, the simulation analysis platform calculates the total energy consumption efficiency Qry based on the building energy consumption data, the collaborative work processing platform calculates the information update frequency EI based on the work data, and the automation processing platform calculates the automation rate Lz based on the automation data. The integrated design analysis platform, the intelligent maintenance analysis platform, the simulation analysis platform, the collaborative work processing platform and the automation processing platform are all connected to the management module through the network;

[0050] The management module is used to manage the BIM model integrity index value Eg, equipment maintenance cycle Ctw, total energy efficiency Qry, information update frequency EI and automation rate Lz. The management module is connected to the feedback module through the network;

[0051] After receiving information from the management module, the feedback module continuously monitors the system, tracks the effectiveness of energy efficiency improvement measures, and adjusts the optimization strategy based on the monitoring results and actual effects to form a closed-loop management.

[0052] The integrated design platform numbers the number of model information categories that have been input and the total number of model information categories that need to be input according to the data characteristics of the model information categories. The number of model information categories that have been input and the total number of model information categories that need to be input are numbered g1 and g2 respectively.

[0053] The integrated design analysis platform calculates the BIM model integrity index value Eg based on the model information category data, and its calculation formula is:

[0054]

[0055] In the formula, Eg represents the BIM model integrity index value, g1 and g2 represent the number of model information categories that have been input and the total number of model information categories that need to be input, respectively. The calculation of the BIM model integrity index value can help evaluate the information integrity of the BIM model in the design, construction and operation stages.

[0056] Advantages: This formula helps evaluate the information integrity of the BIM model at all stages of design, construction and operation, thereby ensuring the smooth progress of the project and reducing costs and time losses caused by missing or incorrect information.

[0057] The intelligent maintenance platform numbers the total equipment operation time, total equipment failure times, ambient temperature, ambient humidity and ambient dust according to the characteristics of the intelligent maintenance data. The total equipment operation time, total equipment failure times, ambient temperature, ambient humidity and ambient dust are numbered as T, W1, W2, W3.

[0058] The intelligent maintenance analysis platform calculates the equipment maintenance cycle Ctw based on the intelligent maintenance data. The calculation formula is:

[0059]

[0060] In the formula, Ctw represents the equipment maintenance cycle, Indicates the ambient temperature, ambient humidity and ambient dust data within the standard range. W1, W2 and W3 indicate the ambient temperature, ambient humidity and ambient dust data when the device is running. It indicates the safety factor of the impact of ambient temperature, ambient humidity and ambient dust data on the equipment during equipment operation, and the calculation of equipment maintenance cycle. Combined with the analysis of historical data, it can predict the maintenance needs of the equipment in advance and arrange the maintenance plan reasonably.

[0061] The advantage is that by considering the impact of environmental factors (such as temperature, humidity and dust) on equipment operation, this formula can more accurately predict the maintenance needs of equipment and arrange maintenance plans reasonably, thereby improving equipment reliability and reducing maintenance costs.

[0062] The simulation platform numbers the number of all buildings that consume energy and the number of buildings that are consuming energy according to the characteristics of building energy consumption data. The number of all buildings that consume energy is The number of buildings that are consuming energy is numbered r.

[0063] The simulation analysis platform calculates the total energy efficiency Qry based on the building energy consumption data. The calculation formula is:

[0064]

[0065] In the formula, Qry represents the total energy efficiency, represents the number of all buildings that consume energy, represents the sum of the energy values ​​corresponding to the buildings that are consuming energy, and r represents the number of buildings that are consuming energy. Represents the sum of the energy values ​​corresponding to all energy-consuming buildings.

[0066] The advantage is: this formula helps identify key areas of energy use through analysis of building energy consumption data, optimize parameter settings, improve energy utilization, and thus improve the overall energy efficiency of all equipment systems and achieve the goal of energy conservation and emission reduction.

[0067] The collaborative work platform numbers the number of information updates and project completion cycles according to the characteristics of the work data. The number of information updates and project completion cycles are numbered as The collaborative work processing platform calculates the information update frequency EI based on the work data, and the calculation formula is:

[0068]

[0069] In the formula, EI represents the frequency of information update, They represent the number of information updates and the project completion cycle respectively. By calculating the information update frequency, it can ensure that the project information in the big data module is updated in a timely manner, while promoting the collaborative work among various module units.

[0070] The advantages are: the calculation of information update frequency ensures that the project information in the big data module can be updated in a timely manner, promotes the collaborative work among the module units, and improves the efficiency and response speed of project management.

[0071] The automation platform numbers the number of design tasks completed automatically and the total number of completed design tasks according to the characteristics of the automation data. The number of design tasks completed automatically and the total number of completed design tasks are numbered k1 and k2 respectively. The automation processing platform calculates the automation rate Lz according to the automation data. The calculation formula is:

[0072]

[0073] In the formula, Lz represents the automation rate, k1 and k2 represent the number of design tasks completed automatically and the total number of design tasks completed, respectively. By calculating the automation rate, the degree of application of automation tools in the design process can be evaluated.

[0074] The advantages are: the calculation of the automation rate evaluates the degree of application of automation tools in the design process, helps to identify potential improvement areas for automation, and improves the efficiency and quality of the design process.

[0075] The method steps are:

[0076] S1. First, establish a big data module to store historical information and record real-time information;

[0077] S2, then establish a cloud computing module to calculate the data obtained from the big data module;

[0078] S3. Finally, a management module and a feedback module are established. The management module is used to manage the data calculated by the cloud computing module and transmit it to the feedback module through the network, so that it can continuously monitor the entire system and form a closed-loop management.

[0079] The advantages are: the big data module is responsible for storing valid historical information and recording new data in real time, providing complete data information for data analysis, and also laying the computing foundation for the cloud computing module. The cloud computing module performs formula calculations on the data in the big data module to realize real-time analysis and processing of the data, thereby supporting the management module to make quick decisions. The management module then effectively manages the data calculated by the cloud computing module to ensure that the data is reasonably organized and utilized, and transmits the data to the feedback module through the network, realizing the automatic configuration of resources and efficient management mode. The feedback module continuously monitors the operating status of the entire system, discovers problems in a timely manner and provides feedback to form a closed-loop management, which helps building equipment to self-adjust and optimize building equipment parameters, thereby providing continuous support throughout the life cycle of the building.

[0080] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A three-dimensional forward visualization modeling design method based on BIM, characterized in that: Including big data module, cloud computing module, management module and feedback module; The big data module is used to store and record all data and image information of the system; the big data module is divided into an integrated design platform, an intelligent maintenance platform, a simulation platform, a collaborative work platform and an automation platform; The integrated design platform classifies and encodes the information in the big data module to obtain model information category data, the intelligent maintenance platform obtains intelligent maintenance data through the equipment information in the big data module, the simulation platform obtains building energy consumption data through the building use function information in the big data module, the collaborative work platform obtains work data through the project information in the big data module, and the automation platform obtains automation data by connecting to the automation tool through the network. The integrated design platform, intelligent maintenance platform, simulation platform, collaborative work platform and automation platform are all connected to the cloud computing module through the network; The cloud computing module includes an integrated design analysis platform, an intelligent maintenance analysis platform, a simulation analysis platform, a collaborative work processing platform and an automated processing platform; The integrated design and analysis platform calculates the BIM model integrity index value Eg according to the model information category data, the intelligent maintenance analysis platform calculates the equipment maintenance cycle Ctw according to the intelligent maintenance data, the simulation analysis platform calculates the total energy consumption efficiency Qry according to the building energy consumption data, the collaborative work processing platform calculates the information update frequency EI according to the work data, and the automation processing platform calculates the automation rate Lz according to the automation data. The integrated design and analysis platform, the intelligent maintenance analysis platform, the simulation analysis platform, the collaborative work processing platform and the automation processing platform are all connected to the management module through a network; The management module is used to manage the BIM model integrity index value Eg, equipment maintenance cycle Ctw, total energy efficiency Qry, information update frequency EI and automation rate Lz, and the management module is connected to the feedback module through a network; After receiving the information from the management module, the feedback module continuously monitors the system, tracks the effects of energy efficiency improvement measures, and adjusts the optimization strategy according to the monitoring results and actual effects to form a closed-loop management; The integrated design platform numbers the number of model information categories that have been input and the total number of model information categories that need to be input according to the data characteristics of the model information categories. The number of model information categories that have been input and the total number of model information categories that need to be input are numbered g1 and g2 respectively. 2； The integrated design and analysis platform calculates the BIM model integrity index value Eg according to the model information category data, and the calculation formula is: In the formula, Eg represents the BIM model integrity index value, g1 and g2 represent the number of model information categories that have been input and the total number of model information categories that need to be input respectively; The intelligent maintenance platform numbers the total equipment operation time, the total number of equipment failures, the ambient temperature, the ambient humidity and the ambient dust according to the intelligent maintenance data characteristics, and the total equipment operation time, the total number of equipment failures, the ambient temperature, the ambient humidity and the ambient dust are numbered as T, W1, W2, W 3； The intelligent maintenance analysis platform calculates the equipment maintenance cycle Ctw based on the intelligent maintenance data, and the calculation formula is: In the formula, Ctw represents the equipment maintenance cycle, Indicates the ambient temperature, ambient humidity and ambient dust data within the standard range. W1, W2 and W3 indicate the ambient temperature, ambient humidity and ambient dust data when the device is running. Indicates the safety factor of the impact of ambient temperature, ambient humidity and ambient dust data on the device during operation; The simulation platform numbers the number of all energy-consuming buildings and the number of buildings that are consuming energy according to the characteristics of the building energy consumption data. The number of all energy-consuming buildings is The number of buildings consuming energy is numbered r; The simulation analysis platform calculates the total energy efficiency Qry based on the building energy consumption data, and the calculation formula is: In the formula, Qry represents the total energy efficiency, represents the number of all buildings that consume energy, represents the sum of the energy values ​​corresponding to the buildings that are consuming energy, and r represents the number of buildings that are consuming energy. Represents the sum of the energy values ​​corresponding to all energy-consuming buildings; The collaborative work platform numbers the information update times and project completion cycles according to the work data characteristics, and the information update times and project completion cycles are numbered respectively. The collaborative work processing platform calculates the information update frequency EI according to the work data, and the calculation formula is: In the formula, EI represents the frequency of information update, β represents the number of information updates and the project completion cycle; The automation platform numbers the number of design tasks completed automatically and the total number of completed design tasks according to the characteristics of the automation data. The number of design tasks completed automatically and the total number of completed design tasks are numbered k1 and k2 respectively. The automation processing platform calculates the automation rate Lz according to the automation data, and the calculation formula is: In the formula, Lz represents the automation rate, k1 and k2 represent the number of design tasks completed automatically and the total number of design tasks completed, respectively.

2. A BIM-based three-dimensional forward visualization modeling design method according to claim 1, characterized in that: The method steps are: S1. First, establish a big data module to store historical information and record real-time information; S2, then establish a cloud computing module to calculate the data obtained from the big data module; S3. Finally, a management module and a feedback module are established. The management module is used to manage the data calculated by the cloud computing module and transmit it to the feedback module through the network, so that it can continuously monitor the entire system and form a closed-loop management.

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