Online door and window deepening method

Abstract

The invention provides a door and window online deepening method based on a cloud platform, and the method comprises the steps: 1, data input, 2, intelligent design, 3, user interaction adjustment, 4, automatic optimization, 5, multi-team cooperation, and 6, drawing deepening and data output. Data are automatically analyzed, a preliminary three-dimensional door and window model is generated, meanwhile, personalized design suggestions are provided, an online interaction tool supports model dragging, zooming, rotation and material size adjustment, design modification is ensured to be accurate and efficient, a verification and optimization program conducts multi-dimensional verification on the model, and the verification efficiency is improved. According to the system, geometric accuracy, material matching, structural strength and safety standards are ensured to be met, the system outputs deepened design drawings meeting industrial standards, two-dimensional drawings, three-dimensional rendering, material lists, processing drawings and installation guidelines are covered, and door and window design quality and efficiency are comprehensively improved.

Description

Technical Field

[0001] The invention relates to the field of door and window design, and in particular to an online door and window deepening method. Background Art

[0002] As the complexity of modern architectural design continues to increase, traditional door and window design solutions are gradually unable to meet the balance requirements of personalized needs and efficient production. Currently, the design of doors and windows in the market mostly relies on designers to draw drawings by hand or use general drawing software to complete preliminary plans, and then adjust detailed parameters through manual communication. This method is not only inefficient but also prone to errors, seriously affecting the overall project progress and quality assurance.

[0003] First of all, in the traditional door and window design process, designers usually need to manually input a large amount of basic data. This process is not only cumbersome but also prone to errors, resulting in low design efficiency. Moreover, due to the long design cycle, it is often difficult to meet the rapidly changing market demands.

[0004] Secondly, traditional design methods have limitations in accuracy. When designers draw door and window models, errors in size, shape or material may occur due to human factors. These errors may be magnified in the subsequent production and installation process, thereby affecting the overall quality of the product and user experience.

[0005] With consumers' increasing demand for personalized door and window designs, traditional design methods are no longer able to meet the diverse needs of the market. Designers often need to spend a lot of time and effort to customize designs based on user preferences and project-specific requirements. This not only increases design costs but also limits design innovation and flexibility. Furthermore, modifying door and window models during the traditional design process is often not intuitive and convenient. Designers need to use professional drawing software to perform complex operations, which not only increases the design difficulty but also affects the efficiency and accuracy of design modifications. Due to the lack of effective annotation and measurement assistance functions, designers may encounter difficulties when locating modification points. Traditional design methods also have shortcomings in verification and optimization. Designers usually have to rely on their own experience and intuition to fully verify and optimize the design results, which often makes it difficult to ensure the product's geometric accuracy, material matching, structural strength, and safety standards. As a result, there are product quality issues and safety hazards caused by design defects in the market. To address this problem, an online door and window deepening method is proposed. Summary of the Invention

[0006] In view of the deficiencies in the prior art, the present invention provides an online deepening method for doors and windows to solve the problems raised in the above background technology.

[0007] To achieve the above-mentioned purpose, the present invention provides the following technical solution: a method for online deepening of doors and windows, comprising the following steps: Step 1: Data input; An online design system is established using a computer. The computer includes a processor, memory, and related software to implement the functions of the online design system. The computer guides users to input basic door and window design data into the online design system through a network module via a graphical interface or file import function. The input data includes but is not limited to user preferences and project-specific requirements. User preferences include door and window types and precise dimensions. Project-specific requirements include materials, opening methods, and security levels. File import is compatible with multiple common formats, such as Excel and CSV, ensuring flexibility and efficiency in data input. Step 2: Intelligent design; The online deepening system has built-in deep learning algorithms and a large number of historical design cases. The deep learning algorithm is based on convolutional neural networks and learns from a large number of historical design cases. The deep learning algorithm identifies and applies common design patterns based on the basic door and window design data entered by the user in step 1, automatically generating preliminary 3D door and window models that meet user needs and project characteristics. It also provides personalized design suggestions based on user preferences and project-specific requirements, significantly improving design efficiency and satisfaction. Step 3: User interaction adjustment; The online deepening system has a built-in online interactive tool. The online interactive tool is based on drawing software, such as CAD software and SolidWorks software. It can drag, scale, and rotate the preliminary 3D door and window model generated in step 2, and adjust and replace the size and material in the door and window graphic file. The online interactive tool also has built-in annotation and measurement auxiliary functions to locate the modification points, obtain the model file, and optimize the design details. Step 4: Automatic optimization; The online deepening system has a built-in verification and optimization program, which adopts the principles of data comparison and verification, optimization, interactive adjustment and feedback, and data integration and collaboration. After the user completes the interactive adjustment, the verification and optimization program compares the data of the model file with the geometric accuracy, material matching, structural strength and safety standards in the database resources in multiple dimensions. It also verifies and optimizes the model based on industry standards, meets various requirements of actual applications, and improves the accuracy and reliability of the design. Step 5: Multi-team collaboration; The online detailing system is equipped with an instant messaging module to transmit the verified and optimized model files from step 4, enabling information exchange between the door and window design team, production team, and installation team. The designed model files are shared in real time, version-controlled, and permission-managed, and the generated model drawing files are then updated synchronously. The online detailing system also uses a program to assign tasks, track progress, and provide feedback on the model files, further improving the efficiency and transparency of team collaboration. Step 6: Deepen the design drawings and output data; The online design system uses the preset data of the drawing editing software to generate detailed design drawings that meet industry standards from the model drawing files obtained in step 5. The generated drawing types include but are not limited to 2D plans, 3D renderings, bills of materials, processing drawings and installation guides. It supports multiple output formats such as DWG, DXF and PDF to meet the needs of different teams and stages. Through intelligent design, the online deepening system can automatically generate preliminary three-dimensional door and window models that meet user needs and project characteristics, greatly shortening the design cycle; the application of deep learning algorithms enables the online deepening system to identify and apply common design patterns, and at the same time make personalized design suggestions based on user preferences and project-specific requirements, thereby improving design satisfaction; the intuitive graphical interface and convenient file import function support users to quickly input and edit basic data for door and window design; the file import function compatible with multiple common formats (such as Excel, CSV, etc.) ensures the flexibility of data input; the user interactive adjustment module provides a wealth of online interactive tools, allowing users to easily and intuitively adjust the preliminary model; the support of auxiliary functions such as annotation and measurement helps users accurately locate modification points, optimize design details, and improve user experience The automatic optimization module verifies and optimizes the model in multiple dimensions, including geometric accuracy, material matching, structural strength, safety standards, etc., to ensure the accuracy and reliability of the design results. By utilizing advanced computing technology and database resources, the online detailing system can automatically adjust and optimize the design to meet industry standards and actual application requirements. Relying on the cloud platform, efficient collaboration among multiple parties such as the design team, production team, and installation team can be achieved. Real-time sharing, version control, and permission management functions ensure the synchronous update and security of information, reduce communication barriers, and accelerate project progress. The detailing design drawing and data output module can automatically generate detailing design drawings that meet industry standards. It supports multiple output formats (such as DWG, DXF, PDF, etc.) to meet the needs of different teams and stages, facilitating subsequent production, processing, and installation work.

[0008] Preferably, step 1: data input also includes a data verification step, which compares and verifies the input data with a large number of historical design cases preset in the online deepening system, automatically detects and prompts the user to correct erroneous or inconsistent input data, and ensures the accuracy and completeness of the data; The data verification step can automatically detect and prompt users to correct incorrect or inconsistent input data, effectively avoiding subsequent design problems caused by data errors and improving the accuracy of the overall design; through the verification function, it can ensure that all necessary data has been entered correctly without omissions, thereby enhancing data integrity and providing a solid foundation for subsequent design; the data verification step can provide instant feedback on problems when users enter data, allowing users to quickly discover and correct errors, avoiding the situation where data problems are discovered in the later stages of the design and need to be re-entered or modified, thereby improving design efficiency; the addition of the data verification step allows users to receive instant guidance and feedback when entering data, reducing user confusion and erroneous operations and optimizing user experience.

[0009] Preferably, step 2: the intelligent design further includes a user behavior analysis step, which learns the user's frequent operations and design preferences, optimizes the accuracy and personalization of the design suggestions, and improves the user experience; Through the analysis of user behavior by deep learning algorithms, the online deepening system can more accurately understand users' design needs and preferences; this enables the online deepening system to provide optimized design suggestions that are more in line with users' actual needs, thereby improving the accuracy and practicality of the design; user behavior analysis enables the online deepening system to identify and remember each user's unique operating habits and design preferences. Therefore, the online deepening system can provide more customized design suggestions and services based on each user's personalized needs, enhancing user experience satisfaction; personalized design suggestions and services can give users a more intimate and convenient design experience. At the same time, accurate optimization suggestions can also reduce the number of modifications and adjustments made by users during the design process, saving users time and energy; deep learning algorithms' learning and analysis of user behavior can not only optimize existing designs, but also inspire new design inspiration and innovative ideas, which will help promote the continuous development and progress of the door and window design field; through the combination of deep learning algorithms, the online deepening system can more quickly generate design solutions that meet user needs, which not only shortens the design cycle but also improves overall design efficiency, allowing designers to respond more quickly to market and customer demands.

[0010] Preferably, step three: user interactive adjustment also includes an advanced editing step, which is based on image editing software such as Photoshop, and adjusts the custom shape, texture mapping and light and shadow effects of the door and window design, allowing users to customize the door and window design more deeply; The custom shape feature allows users to create unique door and window shapes tailored to their specific needs and project characteristics, greatly enhancing design flexibility. The texture mapping feature enables users to add realistic material textures to doors and windows, enhancing the realism and visual impact of the design. Light and shadow adjustment allows users to adjust the lighting and shadow performance of doors and windows as needed, creating a more vivid and three-dimensional design effect. The advanced editing step provides users with deeper and more detailed customization options, allowing users to participate in every aspect of the design, thereby enhancing their sense of participation and satisfaction. Users can freely adjust the design details of doors and windows according to their aesthetic and project requirements to create unique designs. The advanced editing step provides users with room for creativity and encourages personalized design, thereby promoting innovation and development in the field of door and window design. Users can create door and window designs with unique styles and characteristics by customizing shapes, textures, and light and shadow effects, meeting market demand for personalized products. Although the advanced editing step increases the complexity of the design, it also provides more efficient design tools. Users can use these tools to quickly realize their design ideas, reduce the number of modifications and adjustments during the design process, and thus improve design efficiency and quality.

[0011] Preferably, step 4: automatic optimization also includes a physical simulation technology processing step, which simulates the physical world through a computer program, accurately simulates the mechanical properties and thermal properties of the door and window model, and optimizes the structural design and material selection based on the simulation results to ensure the durability and energy efficiency of the doors and windows; The online deepening system can use physical simulation technology to simulate the mechanical and thermal properties of door and window models with high precision; this helps designers to accurately understand the performance of doors and windows under various conditions during the design phase, thereby avoiding modifications and rework due to substandard performance in the later stage; through physical simulation, the online deepening system can automatically analyze the impact of different structural designs and material selections on the performance of doors and windows; this enables designers to further optimize the structural design of doors and windows based on simulation results and select appropriate materials to ensure the durability and energy efficiency of doors and windows; the door and window design optimized by physical simulation is more outstanding in mechanical and thermal properties, and can withstand the challenges of various harsh environmental conditions; this improves the overall quality of doors and windows The optimized thermal performance means that doors and windows have better performance in terms of thermal insulation, heat insulation, and sound insulation, which helps to reduce energy consumption. This is not only in line with the current social trend of green, environmental protection, and energy conservation, but also saves energy costs for users and improves the comfort of living or working environment. Physical simulation technology can provide a large amount of performance data and analysis results in a short time, which enables designers to adjust and optimize design solutions more quickly, shorten the design cycle, and improve design efficiency. Doors and windows products optimized by physical simulation have more advantages in performance and quality, which helps to enhance the market competitiveness of products and meet users' demand for high-quality, high-performance doors and windows.

[0012] Preferably, step five: communication, discussion and collaboration information among team members in team collaboration is achieved through instant messaging tools, which include C / S architecture instant messaging tools, B / S architecture instant messaging tools, enterprise-level collaboration platforms or open source instant messaging tools, to further reduce communication costs and improve collaboration efficiency; The online design system's integrated instant messaging tool allows team members to communicate directly on the platform without switching to other communication software or conducting offline meetings. This significantly reduces communication costs, including time, labor, and resources, enabling more efficient collaboration. Instant messaging provides a real-time information exchange channel, allowing team members to instantly share design ideas, feedback, and modification suggestions, which helps accelerate design iterations, shorten project cycles, and improve overall collaboration efficiency. Through instant messaging, team members can connect more closely, jointly solve problems, and share successes, which helps strengthen team cohesion, morale, and work enthusiasm. Instant messaging can record communication between team members, making it easier for project managers to track and manage project progress, helping to ensure projects proceed as planned and promptly identify and resolve potential issues. Modern instant messaging tools typically support multiple communication methods, including text, voice, and video, allowing team members to more intuitively share design ideas and results, improving communication effectiveness. The team collaboration function integrated with instant messaging makes it easier for users to communicate and collaborate when using the online design system, which helps improve the user experience and enhance user satisfaction and loyalty to the system.

[0013] Preferably, step six: deepening the design drawings and data output also includes a standard matching step, which generates drawings and data that comply with the standards of different countries and regions based on built-in standard data and drawing editing software to meet global project needs; The online design system can automatically generate drawings and data that comply with the standards of multiple countries and regions around the world, allowing design results to be recognized and applied globally. This greatly expands the scope of application of design projects and helps companies expand into the international market. Designers do not need to manually adjust drawings and data to comply with the standards of a specific country or region. The online design system can automatically complete this task, which reduces the designer's standardization workload and improves work efficiency. The automatically generated drawings and data comply with the standards of relevant countries and regions, ensuring the compliance of design projects, which helps avoid legal risks and compliance issues caused by non-compliance with standards. Providing drawings and data that comply with international standards can demonstrate a company's professional capabilities and international perspective, which helps enhance its brand image and market competitiveness. The online design system can automatically generate drawings and data that comply with different standards, simplifying the complexity of project management. Designers and project managers can focus more on the design itself without spending a lot of time dealing with standardization issues. The automatic generation of drawings and data that comply with international standards helps promote international cooperation and exchanges, making it easier for companies to communicate and collaborate with global partners.

[0014] Preferably, step three: intelligent design also includes an intelligent material recommendation sub-step, which automatically analyzes and recommends material options that meet design requirements and user preferences based on input data and database resources, while considering factors such as material cost, performance, and sustainability, to provide users with comprehensive material selection suggestions, thereby enhancing the practicality and cost-effectiveness of the design; The intelligent material recommendation sub-step in intelligent design can automatically recommend materials that meet requirements and preferences based on design data and material databases, comprehensively consider cost, performance and sustainability, and provide comprehensive material selection suggestions, thereby significantly improving the practicality and economy of the design, shortening material selection time, reducing costs, and promoting sustainable development.

[0015] Preferably, the physical simulation technology processing step further includes an environmental performance evaluation sub-step, which utilizes a simulation algorithm to quantitatively evaluate the manufacturing energy consumption and carbon emission environmental indicators of the door and window models, and proposes corresponding design improvement suggestions based on the evaluation results to optimize the manufacturing energy efficiency and environmental impact of the doors and windows, thereby promoting the realization of green building and sustainable development goals; The environmental performance assessment sub-step uses advanced simulation algorithms to quantify environmental indicators such as energy consumption and carbon emissions of door and window models, and proposes design improvement suggestions to optimize the energy efficiency of doors and windows, reduce environmental impact, help achieve green building and sustainable development goals, enhance product competitiveness, and meet market demand for environmentally friendly and high-performance doors and windows.

[0016] Preferably, step five: multi-team collaboration also includes integrating a project management tool chain step, which includes task allocation, progress tracking, document sharing, and version control steps, and is fully supervised through an instant messaging module, so that team members can communicate and collaborate efficiently on a unified platform, thereby improving the efficiency and transparency of project management; the integrated project management tool chain step also supports integration with third-party project management software to carry out diversified project management for users; The integrated project management tool chain steps are fully supervised through the instant messaging module, providing functions such as task allocation, progress tracking, document sharing and version control, thereby improving team collaboration efficiency and project management transparency.

[0017] In summary, compared with the prior art, the present invention provides an online deepening method for doors and windows, which has the following beneficial effects: The online door and window design method proposed in this invention realizes efficient, intelligent and collaborative door and window design by constructing an online design system based on a cloud platform. Through the online design system on the cloud platform, users can conveniently input basic door and window design data into the system, avoiding the tediousness and errors of traditional manual input. The system's built-in deep learning algorithm can automatically generate preliminary 3D door and window models that meet user requirements based on user input, significantly shortening the design cycle while improving design accuracy. The system can provide personalized design suggestions based on user preferences and project-specific requirements, meeting the diverse needs of different users for door and window design, improving design innovation and enhancing user experience; The added online interactive tools allow users to intuitively drag, scale, and rotate preliminary 3D door and window models, and flexibly adjust the size and material. The annotation and measurement assistance functions further facilitate the precise positioning of modification points, thus ensuring the accuracy and efficiency of design modifications. The system's built-in verification and optimization program can perform multi-dimensional comparison and verification of user-adjusted model files to ensure that the model meets requirements such as geometric accuracy, material matching, structural strength and safety standards, reducing design error rates and improving product reliability and safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a schematic diagram of the online deepening steps of doors and windows of the invention. DETAILED DESCRIPTION

[0019] The present invention provides a technical solution, a door and window online deepening method, please refer to Figure 1 , a door and window online deepening method, comprising the following steps: Step 1: Data input; A cloud-based online design system is built using computers, guiding users to input basic door and window design data into the online design system through an offline graphical interface or file import function via a network module. The input data includes but is not limited to user preferences and project-specific requirements. User preferences include door and window type and exact dimensions, while project-specific requirements include material, opening method, and security level. File import is compatible with a variety of common formats, such as Excel and CSV, ensuring flexibility and efficiency in data input. Step 2: Intelligent design; The online deepening system has built-in deep learning algorithms and a large number of historical design cases. The deep learning algorithm is based on convolutional neural networks and learns from a large number of historical design cases. The deep learning algorithm identifies and applies common design patterns based on the basic door and window design data entered by the user in step 1, automatically generating preliminary 3D door and window models that meet user needs and project characteristics. It also provides personalized design suggestions based on user preferences and project-specific requirements, significantly improving design efficiency and satisfaction. Step 3: User interaction adjustment; The online deepening system has a built-in online interactive tool. Based on the drawing software, the online interactive tool can drag, scale, and rotate the preliminary 3D door and window model generated in step 2, and adjust and replace the size and material in the door and window graphic file. The online interactive tool also has built-in annotation and measurement auxiliary functions to locate the modification points, obtain the model file, and optimize the design details. Step 4: Automatic optimization; The online deepening system has a built-in verification and optimization program, which adopts the principles of data comparison and verification, optimization, interactive adjustment and feedback, and data integration and collaboration. After the user completes the interactive adjustment, the verification and optimization program compares the data of the model file with the geometric accuracy, material matching, structural strength and safety standards in the database resources in multiple dimensions. It also verifies and optimizes the model based on industry standards, meets various requirements of actual applications, and improves the accuracy and reliability of the design. Data comparison and verification principle: By comparing the geometric parameters of the model data (such as size, shape, position, etc.) with the standards or design requirements in the database, the geometric accuracy of the model is ensured to meet the requirements. The model is verified in detail using geometric algorithms (such as distance calculation, area calculation, volume calculation, etc.) and tolerance analysis. According to the material requirements of the model, the material information in the database is matched to ensure that the selected material meets the design requirements. A material property database is established, including the material's strength, toughness, corrosion resistance, weight and other properties. The material requirements of the model are matched and verified through algorithms. According to the principles of mechanics, the structural strength of the model is analyzed to ensure that the structure will not be damaged when subjected to the specified load. Finite element analysis (FEA), stress analysis, fatigue analysis and other mechanical analysis methods are used to verify the structural strength of the model; Conduct safety performance assessments on models based on industry standards and safety specifications to ensure they meet safety requirements. Establish a safety standards database, including various industry standards and safety specifications, and verify the safety performance of models through algorithms. Optimize the model according to industry standards to achieve better performance or lower costs while meeting basic requirements. By analyzing the best practices and optimization suggestions in industry standards, optimize the model by adjusting parameters, improving the structure, and other optimization measures. Under the premise of meeting multiple objectives (such as cost, performance, safety, etc.), the model is optimized and multi-objective optimization algorithms (such as genetic algorithm, particle swarm optimization, etc.) are used to iteratively optimize the model to find the optimal solution; Use artificial intelligence technologies (such as machine learning and deep learning) to optimize models, improve optimization efficiency and accuracy, learn historical data and optimization experience through model training, and use intelligent algorithms to predict and optimize models; Allow users to adjust the model directly on the system interface and view the adjustment effect in real time. The system adopts graphical user interface (GUI) technology to provide an intuitive and easy-to-use interactive interface, allowing users to easily adjust model parameters. When users make interactive adjustments, the system provides real-time feedback on verification and optimization results. This is achieved by using algorithms to calculate verification and optimization results in real time and displaying them to users on the interface so that users can make adjustments based on the feedback. Integrate model data, database resources, industry standards, etc. into the system to achieve unified management and efficient use of data. Use database technology, data warehouse technology, etc. to integrate and store data and establish data models and data relationships. Support collaborative work between multiple users or system components, improve verification and optimization efficiency, adopt distributed computing technology, cloud computing technology, etc., to achieve distributed storage and processing of data, and support parallel computing and collaborative work between multiple users or system components; Step 5: Multi-team collaboration; The online detailing system is equipped with an instant messaging module to transmit the verified and optimized model files from step 4, enabling information exchange between the door and window design team, production team, and installation team. The designed model files are shared in real time, version-controlled, and permission-managed, and the generated model drawing files are then updated synchronously. The online detailing system also uses a program to assign tasks, track progress, and provide feedback on the model files, further improving the efficiency and transparency of team collaboration. Step 6: Deepen the design drawings and output data; The online design system uses the preset data of the drawing editing software to generate detailed design drawings that meet industry standards from the model drawing files obtained in step 5. The generated drawing types include but are not limited to 2D plans, 3D renderings, bills of materials, processing drawings and installation guides. It supports multiple output formats such as DWG, DXF and PDF to meet the needs of different teams and stages. The online deepening system of this solution is built-in and supports a variety of drawing editing software, such as AutoCAD, Revit, etc., with powerful drawing editing and output functions. The drawing editing software is preset with rich data, including standard drawing formats, symbols, annotation styles, etc. The online deepening system uses the preset data to automatically generate drawings that meet industry standards and can generate corresponding drawings according to different needs.

[0020] After generating preliminary drawings, the online detailing system can refine the drawings, including adding detail annotations, improving dimension information, optimizing layout, etc., which helps to improve the accuracy and readability of the drawings and provide strong support for subsequent construction and production.

[0021] The online deepening system can also optimize drawings, including adjusting the drawing scale, optimizing line and fill styles, compressing file size, etc., which helps to improve the display effect and printing efficiency of drawings while reducing the burden of file transmission and storage.

[0022] The online deepening system supports outputting generated drawings into multiple formats, such as DWG, DXF, PDF, etc. Users can select the output format and output parameters such as resolution, color mode, etc. according to their needs.

[0023] Before outputting the drawings, the online deepening system will verify the drawings to ensure their accuracy and completeness. The verification content includes but is not limited to the drawing's size, scale, annotation, text description, etc. If errors or omissions are found, the online deepening system will prompt the user to make corrections.

[0024] The in-depth design drawings are an important basis and guide for the construction process. Construction personnel can understand the structure, size, materials and other information of the project based on the drawings to ensure the quality and progress of construction.

[0025] The bill of materials and processing drawings are important bases for material procurement and processing. The drawings generated by the online in-depth system can help purchasing personnel accurately understand the types, quantities and specifications of the required materials, as well as the processing requirements and processes.

[0026] The installation guide is an important reference for equipment installation and maintenance. The drawings generated by the online deepening system can show in detail the equipment's installation location, connection method, operation steps and other information, providing strong support for installers.

[0027] Through intelligent design, the online deepening system can automatically generate preliminary three-dimensional door and window models that meet user needs and project characteristics, greatly shortening the design cycle; the application of deep learning algorithms enables the online deepening system to identify and apply common design patterns, and at the same time make personalized design suggestions based on user preferences and project-specific requirements, thereby improving design satisfaction; the intuitive graphical interface and convenient file import function support users to quickly input and edit basic data for door and window design; the file import function compatible with multiple common formats (such as Excel, CSV, etc.) ensures the flexibility of data input; the user interactive adjustment module provides a wealth of online interactive tools, allowing users to easily and intuitively adjust the preliminary model; the support of auxiliary functions such as annotation and measurement helps users accurately locate modification points, optimize design details, and improve user experience The automatic optimization module verifies and optimizes the model in multiple dimensions, including geometric accuracy, material matching, structural strength, safety standards, etc., to ensure the accuracy and reliability of the design results. By utilizing advanced computing technology and database resources, the online detailing system can automatically adjust and optimize the design to meet industry standards and actual application requirements. Relying on the cloud platform, efficient collaboration among multiple parties such as the design team, production team, and installation team can be achieved. Real-time sharing, version control, and permission management functions ensure the synchronous update and security of information, reduce communication barriers, and accelerate project progress. The detailing design drawing and data output module can automatically generate detailing design drawings that meet industry standards. It supports multiple output formats (such as DWG, DXF, PDF, etc.) to meet the needs of different teams and stages, facilitating subsequent production, processing, and installation work.

[0028] See also Figure 1 ,Step 1: Data input also includes a data verification step, which compares and verifies the input data with the massive historical design cases preset in the online ,deepening system, automatically detects and prompts the user to correct incorrect or inconsistent input data,,ensuring the accuracy and completeness of the data; The data verification step can automatically detect and prompt users to correct incorrect or inconsistent input data, effectively avoiding subsequent design problems caused by data errors and improving the accuracy of the overall design; through the verification function, it can ensure that all necessary data has been entered correctly without omissions, thereby enhancing data integrity and providing a solid foundation for subsequent design; the data verification step can provide instant feedback on problems when users enter data, allowing users to quickly discover and correct errors, avoiding the situation where data problems are discovered in the later stages of the design and need to be re-entered or modified, thereby improving design efficiency; the addition of the data verification step allows users to receive instant guidance and feedback when entering data, reducing user confusion and erroneous operations and optimizing user experience.

[0029] See also Figure 1,Step 2: Intelligent design also includes a user behavior analysis step, which learns users' frequent operations and design preferences, optimizes the accuracy and personalization of design suggestions, and improves user experience; Through the analysis of user behavior by deep learning algorithms, the online deepening system can more accurately understand users' design needs and preferences; this enables the online deepening system to provide optimized design suggestions that are more in line with users' actual needs, thereby improving the accuracy and practicality of the design; user behavior analysis enables the online deepening system to identify and remember each user's unique operating habits and design preferences. Therefore, the online deepening system can provide more customized design suggestions and services based on each user's personalized needs, enhancing user experience satisfaction; personalized design suggestions and services can give users a more intimate and convenient design experience. At the same time, accurate optimization suggestions can also reduce the number of modifications and adjustments made by users during the design process, saving users time and energy; deep learning algorithms' learning and analysis of user behavior can not only optimize existing designs, but also inspire new design inspiration and innovative ideas, which will help promote the continuous development and progress of the door and window design field; through the combination of deep learning algorithms, the online deepening system can more quickly generate design solutions that meet user needs, which not only shortens the design cycle but also improves overall design efficiency, allowing designers to respond more quickly to market and customer demands.

[0030] See also Figure 1 ,Step 3: User interactive adjustment also includes advanced editing steps.,The advanced editing steps are based on image editing software to adjust the custom shape,,texture mapping and light and shadow effects of the door and window design,,allowing users to customize the door and window design more deeply; The custom shape feature allows users to create unique door and window shapes tailored to their specific needs and project characteristics, greatly enhancing design flexibility. The texture mapping feature enables users to add realistic material textures to doors and windows, enhancing the realism and visual impact of the design. Light and shadow adjustment allows users to adjust the lighting and shadow performance of doors and windows as needed, creating a more vivid and three-dimensional design effect. The advanced editing step provides users with deeper and more detailed customization options, allowing users to participate in every aspect of the design, thereby enhancing their sense of participation and satisfaction. Users can freely adjust the design details of doors and windows according to their aesthetic and project requirements to create unique designs. The advanced editing step provides users with room for creativity and encourages personalized design, thereby promoting innovation and development in the field of door and window design. Users can create door and window designs with unique styles and characteristics by customizing shapes, textures, and light and shadow effects, meeting market demand for personalized products. Although the advanced editing step increases the complexity of the design, it also provides more efficient design tools. Users can use these tools to quickly realize their design ideas, reduce the number of modifications and adjustments during the design process, and thus improve design efficiency and quality.

[0031] See also Figure 1 ,Step 4: Automatic optimization also includes a physical simulation technology processing step, which uses computer programs to simulate the physical world, accurately simulate the mechanical and thermal properties of the door and window models, and optimize the structural design and material selection based on the simulation results to ensure the durability and energy efficiency of the doors and windows; The online deepening system can use physical simulation technology to simulate the mechanical and thermal properties of door and window models with high precision; this helps designers to accurately understand the performance of doors and windows under various conditions during the design phase, thereby avoiding modifications and rework due to substandard performance in the later stage; through physical simulation, the online deepening system can automatically analyze the impact of different structural designs and material selections on the performance of doors and windows; this enables designers to further optimize the structural design of doors and windows based on simulation results and select appropriate materials to ensure the durability and energy efficiency of doors and windows; the door and window design optimized by physical simulation is more outstanding in mechanical and thermal properties, and can withstand the challenges of various harsh environmental conditions; this improves the overall quality of doors and windows The optimized thermal performance means that doors and windows have better performance in terms of thermal insulation, heat insulation, and sound insulation, which helps to reduce energy consumption. This is not only in line with the current social trend of green, environmental protection, and energy conservation, but also saves energy costs for users and improves the comfort of living or working environment. Physical simulation technology can provide a large amount of performance data and analysis results in a short time, which enables designers to adjust and optimize design solutions more quickly, shorten the design cycle, and improve design efficiency. Doors and windows products optimized by physical simulation have more advantages in performance and quality, which helps to enhance the market competitiveness of products and meet users' demand for high-quality, high-performance doors and windows.

[0032] See also Figure 1 ,Step 5: ,In team collaboration, the communication, discussion and collaboration of team members are ,achieved through instant messaging tools. Instant messaging tools include C / S ,architecture instant messaging tools, B / S architecture instant messaging tools, enterprise-level ,collaboration platforms or open source instant messaging tools, ,further reducing communication costs and improving collaboration ,efficiency; The online design system's integrated instant messaging tool allows team members to communicate directly on the platform without switching to other communication software or conducting offline meetings. This significantly reduces communication costs, including time, labor, and resources, enabling more efficient collaboration. Instant messaging provides a real-time information exchange channel, allowing team members to instantly share design ideas, feedback, and modification suggestions, which helps accelerate design iterations, shorten project cycles, and improve overall collaboration efficiency. Through instant messaging, team members can connect more closely, jointly solve problems, and share successes, which helps strengthen team cohesion, morale, and work enthusiasm. Instant messaging can record communication between team members, making it easier for project managers to track and manage project progress, helping to ensure projects proceed as planned and promptly identify and resolve potential issues. Modern instant messaging tools typically support multiple communication methods, including text, voice, and video, allowing team members to more intuitively share design ideas and results, improving communication effectiveness. The team collaboration function integrated with instant messaging makes it easier for users to communicate and collaborate when using the online design system, which helps improve the user experience and enhance user satisfaction and loyalty to the system.

[0033] See also Figure 1 Step 6: Deepening the design drawings and data output also includes a standard matching step. The standard matching step uses built-in standard data and drawing editing software to generate drawings and data that meet the standards of different countries and regions to meet the needs of projects around the world. The online design system can automatically generate drawings and data that comply with the standards of multiple countries and regions around the world, allowing design results to be recognized and applied globally. This greatly expands the scope of application of design projects and helps companies expand into the international market. Designers do not need to manually adjust drawings and data to comply with the standards of a specific country or region. The online design system can automatically complete this task, which reduces the designer's standardization workload and improves work efficiency. The automatically generated drawings and data comply with the standards of relevant countries and regions, ensuring the compliance of design projects, which helps avoid legal risks and compliance issues caused by non-compliance with standards. Providing drawings and data that comply with international standards can demonstrate a company's professional capabilities and international perspective, which helps enhance its brand image and market competitiveness. The online design system can automatically generate drawings and data that comply with different standards, simplifying the complexity of project management. Designers and project managers can focus more on the design itself without spending a lot of time dealing with standardization issues. The automatic generation of drawings and data that comply with international standards helps promote international cooperation and exchanges, making it easier for companies to communicate and collaborate with global partners.

[0034] See also Figure 1 ,Step 3: Intelligent design also includes an intelligent material recommendation sub-step.,The intelligent material recommendation sub-step automatically analyzes and recommends material options that meet design requirements and user preferences based on input data and database resources, while taking into account factors such as material cost, performance, and sustainability, providing users with comprehensive material selection suggestions, thereby enhancing the practicality and economy of the design; The intelligent material recommendation sub-step in intelligent design can automatically recommend materials that meet requirements and preferences based on design data and material databases, comprehensively consider cost, performance and sustainability, and provide comprehensive material selection suggestions, thereby significantly improving the practicality and economy of the design, shortening material selection time, reducing costs, and promoting sustainable development.

[0035] See also Figure 1 The physical simulation technology processing step also includes an environmental performance evaluation sub-step. The environmental performance evaluation sub-step uses simulation algorithms to quantitatively evaluate the manufacturing energy consumption and carbon emission environmental indicators of the door and window models, and proposes corresponding design improvement suggestions based on the evaluation results to optimize the manufacturing energy efficiency and environmental impact of doors and windows, and promote the realization of green building and sustainable development goals; The environmental performance assessment sub-step uses advanced simulation algorithms to quantify environmental indicators such as energy consumption and carbon emissions of door and window models, and proposes design improvement suggestions to optimize the energy efficiency of doors and windows, reduce environmental impact, help achieve green building and sustainable development goals, enhance product competitiveness, and meet market demand for environmentally friendly and high-performance doors and windows.

[0036] See also Figure 1 Step 5: Multi-team collaboration also includes the step of integrating the project management tool chain. The integrated project management tool chain step includes task allocation, progress tracking, document sharing and version control steps, and is fully supervised through the instant messaging module, allowing team members to communicate and collaborate efficiently on a unified platform, improving the efficiency and transparency of project management; the integrated project management tool chain step also supports integration with third-party project management software to manage diverse user projects; The integrated project management tool chain steps are fully supervised through the instant messaging module, providing functions such as task allocation, progress tracking, document sharing and version control, thereby improving team collaboration efficiency and project management transparency.

[0037] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus.

[0038] While 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 these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A door and window online deepening method, characterized in that: The steps include: Step 1: Data Input Utilize a computer to establish an online detailed design system based on a cloud platform, guiding users to input basic door and window design data into the online detailed design system online through a network module via an offline graphical interface or file import function. The input data includes but is not limited to user preferences and project-specific requirements. User preferences include door and window type and precise dimensions, and project-specific requirements include material, opening method, and security level. Step 2: Intelligent Design The online deepening system has built-in deep learning algorithms and a large number of historical design cases. The deep learning algorithm is based on convolutional neural networks and learns from a large number of historical design cases. The deep learning algorithm identifies and applies common design patterns based on the basic door and window design data entered by the user in step 1, automatically generates preliminary 3D door and window models that meet user needs and project characteristics, and provides personalized design suggestions based on user preferences and project-specific requirements. Step 3: User interaction adjustment The online deepening system has a built-in online interactive tool. Based on the drawing software, the online interactive tool can drag, scale, and rotate the preliminary 3D door and window model generated in step 2, and adjust and replace the size and material in the door and window graphic file. The online interactive tool also has built-in annotation and measurement auxiliary functions to locate the modification points and obtain the model file. Step 4: Automatic Optimization The online deepening system has a built-in verification and optimization program, which adopts the principles of data comparison and verification, optimization, interactive adjustment and feedback, and data integration and collaboration. After the user completes the interactive adjustment, the verification and optimization program compares the data of the model file with the geometric accuracy, material matching, structural strength and safety standards in the database resources, and verifies and optimizes the model based on industry standards. Step 5: Multi-team collaboration The online detailing system is equipped with an instant messaging module to transmit the verified and optimized model files from step 4, enabling information exchange between the design, production, and installation teams of doors and windows. The designed model files are shared in real time, version-controlled, and permission-managed, and the generated model drawing files are updated synchronously. The online detailing system also uses a program to assign tasks, track progress, and provide feedback on the model files. Step 6: Deepen design drawings and data output The online detailing system uses the preset data of the drawing editing software to generate detailed design drawings that meet industry standards from the model drawing files obtained in step 5. The generated drawing types include but are not limited to 2D plan views, 3D renderings, bills of materials, processing drawings and installation guides.

2. A door and window online deepening method according to claim 1, characterized in that: The step 1: data input also includes a data verification step, which compares and verifies the input data with the massive historical design cases preset in the online deepening system, automatically detects and prompts the user to correct erroneous or inconsistent input data.

3. A door and window online deepening method according to claim 1, characterized in that: The second step: the intelligent design also includes a user behavior analysis step, which learns the user's frequent operations and design preferences to optimize the accuracy and personalization of design suggestions.

4. A door and window online deepening method according to claim 1, characterized in that: The step three: user interactive adjustment also includes an advanced editing step, which is based on image editing software to adjust the custom shape, texture mapping and light and shadow effects of the door and window design.

5. A door and window online deepening method according to claim 1, characterized in that: The fourth step: the automatic optimization also includes a physical simulation technology processing step, which simulates the physical world through a computer program, simulates the mechanical properties and thermal properties of the door and window model, and optimizes the structural design and material selection based on the simulation results.

6. A door and window online deepening method according to claim 1, characterized in that: Step 5: Communication, discussion and collaboration information among team members in team collaboration are achieved through instant messaging tools, which include C / S architecture instant messaging tools, B / S architecture instant messaging tools, enterprise-level collaboration platforms or open source instant messaging tools.

7. A door and window online deepening method according to claim 1, characterized in that: The step six: deepening the design drawings and data output also includes a standard matching step, which generates drawings and data that meet the standards of different countries and regions through built-in standard data and based on drawing editing software.

8. A door and window online deepening method according to claim 1, characterized in that: The step three: intelligent design also includes an intelligent material recommendation sub-step, which analyzes and recommends material options that meet design requirements and user preferences based on input data and database resources.

9. A door and window online deepening method according to claim 5, characterized in that: The physical simulation technology processing step also includes an environmental performance evaluation sub-step, which uses a simulation algorithm to quantitatively evaluate the manufacturing energy consumption and carbon emission environmental protection indicators of the door and window model, and puts forward design improvement suggestions based on the evaluation results.

10. A door and window online deepening method according to claim 6, characterized in that: The step five: multi-team collaboration also includes the step of integrating the project management tool chain, which includes task allocation, progress tracking, document sharing and version control steps, and is fully supervised through the instant messaging module.

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