Building thermal performance intelligent energy-saving analysis method based on building information model (BIM)

Abstract

According to the intelligent energy-saving analysis method based on the building information model (BIM), building thermal performance parameters and an intelligent simulation algorithm are integrated, building heat conduction, a heat bridge effect and solar heat gain are accurately simulated, and a scientific basis is provided for design. Meanwhile, an energy-saving optimization strategy is automatically generated, such as wall thickness adjustment and window design, so that energy consumption is reduced. Besides, a multidisciplinary cooperative working platform is established, effective implementation of energy-saving measures is ensured, and energy use and maintenance tracking of the whole life cycle of the building are realized and energy-saving performance is continuously optimized in combination with an energy management system. The innovation of the method lies in the automatic and intelligent analysis process, and a comprehensive solution is provided for the field of building energy conservation.

Description

Technical field:

[0001] The present invention relates to the technical field of building energy conservation and building information modeling (BIM), and in particular to an intelligent energy-saving analysis method that integrates BIM technology with building thermal performance analysis. This method uses advanced simulation technology and optimization algorithms to comprehensively analyze and evaluate the thermal performance of a building to achieve energy efficiency optimization in the building design and operation stages. In addition, the present invention also covers the construction of a multidisciplinary collaborative work platform, as well as its combination with an energy management system, aiming to provide continuous tracking, analysis and optimization of energy use and maintenance for the entire life cycle of a building. Through the application of the present invention, the energy utilization efficiency of a building can be significantly improved, energy consumption can be reduced, environmental impact can be reduced, and the practice of green buildings and sustainable development can be promoted. Background technology:

[0002] With the continuous growth of global energy consumption and the increasingly serious environmental problems, building energy conservation has become an important issue that cannot be ignored in building design, construction and operation. Buildings account for a considerable proportion of energy consumption during their life cycle. Therefore, improving building energy efficiency and reducing building energy consumption have significant economic and environmental value. Traditional building energy conservation analysis mainly relies on empirical estimation and simplified calculations. These methods often fail to fully consider the complexity and variability of buildings, making it difficult to achieve refined and personalized energy-saving design.

[0003] In recent years, the development of Building Information Modeling (BIM) technology has brought revolutionary changes to the construction field. BIM technology realizes 3D visualization and data integration throughout the life cycle of a construction project by creating and managing digital information of buildings. However, most of the existing BIM applications focus on building design and construction management, while the application in building energy-saving analysis is not deep and extensive enough.

[0004] In order to solve the above problems, it is necessary to develop an intelligent energy-saving analysis method for building thermal performance based on BIM, which can make full use of the advantages of BIM technology, combine advanced simulation technology and optimization algorithms, and conduct comprehensive and in-depth analysis and evaluation of the thermal performance of buildings. Through this method, the energy efficiency of buildings can be predicted and optimized in the building design stage, and continuous monitoring and optimization of energy use can be achieved in the building operation stage, so as to achieve the purpose of reducing energy consumption, saving costs and protecting the environment. This not only helps to promote the practice of green buildings and sustainable development, but also meets the current social needs for energy conservation, emission reduction and environmental protection.

[0005] Technical solution:

[0006] The technical solution of the present invention is an intelligent energy-saving analysis method for building thermal performance based on building information model (BIM), which aims to achieve accurate analysis and optimization of building thermal performance through a series of highly integrated steps to improve building energy efficiency and reduce energy consumption. The following is the specific process of the technical solution:

[0007] 1. BIM model construction:

[0008] Preferably, high-precision three-dimensional laser scanning technology is used to scan the building in all directions to obtain the precise geometric data of the building, including size, shape and spatial layout.

[0009] Preferably, photogrammetry technology is used to collect texture and color information of the building surface to enhance the realism and visual effect of the model.

[0010] Preferably, advanced parametric modeling software is used to construct a detailed three-dimensional BIM model based on the collected data, including the geometry and spatial layout of components such as walls, roofs, floors, windows, etc.

[0011] Preferably, the material properties of building components, such as thermal conductivity, density, specific heat capacity, etc., are input into the BIM model to provide basic data for subsequent thermal performance analysis.

[0012] Preferably, the parametric function of BIM software is used to dynamically update the building model to adapt to design changes and material replacements.

[0013] 2. Thermal performance parameter integration:

[0014] Preferably, the thermal performance parameters of the building envelope structure, including but not limited to thermal conductivity, heat capacity, thermal resistance, etc., are integrated into the BIM model to provide key input for thermal performance simulation.

[0015] Preferably, for complex building components, such as double-glazed windows, composite walls, etc., detailed thermal performance analysis is performed to ensure the accuracy of the model and the reliability of the simulation results.

[0016] Preferably, the database function of the BIM software is used to store and manage thermal performance parameters to facilitate parameter query, update and maintenance.

[0017] 3. Intelligent simulation algorithm development:

[0018] Preferably, an intelligent simulation algorithm based on physical laws is developed to simulate the heat conduction, thermal bridge effect and solar heat gain of the building, and provide accurate thermal performance prediction.

[0019] Preferably, the algorithm considers environmental factors such as indoor and outdoor temperature difference, solar radiation, wind speed, humidity, etc., and dynamically analyzes the temperature field inside the building to evaluate thermal comfort and energy consumption under different design conditions.

[0020] Preferably, finite element analysis (FEA) and computational fluid dynamics (CFD) techniques are combined to improve the accuracy and efficiency of simulation and achieve efficient simulation of complex building systems.

[0021] 4. Energy-saving optimization strategy generation:

[0022] Preferably, machine learning and multi-objective optimization algorithms are used to automatically generate energy-saving optimization strategies based on simulation results to achieve optimization of building energy efficiency.

[0023] Preferably, the optimal building design scheme is automatically calculated taking into account the aesthetics, practicality, economy and energy efficiency of the building, including the thickness of insulation layers of walls and roofs, window size and location, material selection and replacement, etc.

[0024] Preferably, a user interaction interface is developed to allow users to adjust the energy-saving optimization strategy according to actual needs and preferences, and to display the energy-saving effect and economic benefits in real time through visualization tools.

[0025] 5. Multidisciplinary collaborative work platform:

[0026] Preferably, a multidisciplinary collaborative work platform is established to allow architects, engineers, contractors, and facility managers to collaborate and make decisions in real time on the same BIM model, thereby improving the efficiency of design and construction.

[0027] Preferably, the platform provides real-time data sharing, communication, and project management tools to improve the efficiency of team collaboration and the success rate of projects.

[0028] Preferably, personnel from different disciplines are supported to access, comment on and modify the model to achieve design integration and optimization and reduce design conflicts and construction errors.

[0029] 6.Full life cycle energy management:

[0030] Preferably, the BIM model is combined with an advanced energy management system to achieve continuous tracking, analysis and optimization of energy use and maintenance throughout the life cycle of a building.

[0031] Preferably, an energy usage database is established to record the energy consumption of the building and perform trend analysis to identify energy saving opportunities and develop improvement measures.

[0032] Use data analysis and machine learning techniques to predict a building’s energy demand and energy-saving potential, and develop corresponding energy-saving measures, such as equipment upgrades, behavioral adjustments, etc.

[0033] 7. Real-time Data Integration:

[0034] Preferably, real-time meteorological data and indoor and outdoor environmental monitoring data are integrated into the BIM model to improve the accuracy and real-time performance of the simulation and realize dynamic thermal performance analysis.

[0035] Preferably, sensors and IoT technologies are used to collect environmental data inside and outside the building in real time and integrate them with the BIM model to provide real-time input for thermal performance analysis and energy management.

[0036] 8. Intelligent diagnosis and predictive maintenance:

[0037] Preferably, develop intelligent diagnostic and predictive maintenance systems that use machine learning techniques to predict failures and maintenance needs of construction equipment, reducing unexpected downtime and repair costs.

[0038] Preferably, by analyzing the operating data and maintenance history of the equipment, potential failures and performance degradation are predicted to achieve preventive maintenance and optimize maintenance plans.

[0039] 9. User behavior analysis:

[0040] Preferably, user behavior analysis is combined to optimize the building's energy usage pattern, improve energy efficiency and user satisfaction.

[0041] Preferably, sensors and data analysis technologies are used to collect user behavior data, such as indoor activities, energy usage habits, etc., to evaluate user responses and preferences to the building environment.

[0042] Preferably, energy usage strategies, such as lighting control, temperature regulation, etc., are adjusted based on user behavior data to meet user needs and reduce energy consumption.

[0043] 10. Virtual reality and augmented reality technology applications:

[0044] Preferably, virtual reality (VR) and augmented reality (AR) technologies are used to provide users with an intuitive display and interactive experience of energy-saving analysis results, thereby enhancing users' understanding of energy-saving design and optimization effects.

[0045] Preferably, VR / AR applications are developed to allow users to view building models and energy-saving optimization solutions in a virtual environment for immersive design evaluation and decision-making.

[0046] 11. Mobile devices and cloud technology applications:

[0047] Preferably, mobile devices and cloud technology are used to achieve anytime and anywhere access and energy management of BIM models, improving user convenience and flexibility.

[0048] Preferably, a mobile application is developed to allow users to access the BIM model and energy management data via a smartphone or tablet for remote monitoring and control.

[0049] 12. Blockchain technology application:

[0050] Preferably, blockchain technology is used to ensure the security, integrity and traceability of BIM model data and enhance the reliability and trust of the data.

[0051] Preferably, blockchain technology is used to achieve distributed storage and encryption protection of data, prevent data tampering and unauthorized access, and ensure long-term preservation and use of data.

[0052] 13. Customized services:

[0053] Preferably, customized services are provided to provide personalized energy-saving analysis and optimization solutions based on the specific needs of users to meet the specific requirements of different users.

[0054] Preferably, energy-saving analysis and optimization strategies are customized according to the user's geographical location, climate conditions, building type and usage requirements to achieve the best energy-saving effect and return on investment.

[0055] 14.Integrate existing software:

[0056] Preferably, it is integrated with existing building design software and energy simulation software to achieve seamless exchange and sharing of data, and improve work efficiency and data consistency.

[0057] Preferably, interoperability with mainstream building design and energy simulation software is achieved through open APIs and data exchange formats, making it convenient for users to migrate and integrate existing data and tools.

[0058] 15. User-friendly Interface:

[0059] Preferably, a user-friendly interface is developed to simplify the user operation process, improve the user experience, lower the usage threshold, and attract more users to use the energy-saving analysis method.

[0060] Preferably, the interface design takes into account the needs of users with different professional backgrounds, provides intuitive operation instructions and feedback information, and helps users quickly understand and master the energy-saving analysis and optimization process.

[0061] Preferably, a multi-language interface is supported to meet the usage requirements of users in different countries and regions and promote the international application of the energy-saving analysis method.

[0062] By implementing the above technical solutions, the present invention can provide a comprehensive, accurate and automated analysis and optimization tool for the field of building energy conservation, which will help to significantly improve building energy efficiency and effectively reduce energy costs, while providing users with a convenient, efficient and personalized service experience.

[0063] The present invention proposes a series of innovative solutions to the various technical problems existing in the field of building energy-saving analysis, including how to achieve efficient integration of building data, improve the accuracy of thermal performance simulation, promote real-time collaboration between multidisciplinary teams, achieve energy management throughout the life cycle of buildings, conduct real-time performance monitoring and response, predictively maintain building equipment, match user behavior with energy usage patterns, provide intuitive technical display and interactive experience, achieve integration of mobile access and cloud technology, ensure data security and integrity, provide services that meet personalized needs, achieve seamless integration with existing building design and energy simulation software, and develop a user-friendly operating interface. By constructing a detailed BIM model, developing intelligent simulation algorithms, establishing a multidisciplinary collaborative work platform, integrating real-time monitoring data, applying machine learning for predictive maintenance, analyzing user behavior to optimize energy use, using VR / AR technology to enhance experience, developing mobile applications for cloud access, using blockchain technology to ensure data security, providing customized services to meet different user needs, and designing an easy-to-use multilingual user interface, the present invention significantly improves the accuracy, efficiency and user interaction experience of building energy-saving analysis, while ensuring data security and software compatibility.

[0064] The core protection points of this invention are mainly concentrated in two technical fields: first, it is a method of using building information model (BIM) to simulate and analyze the thermal performance of buildings with high precision. This method integrates complex building physics data and advanced algorithms to achieve accurate prediction of building energy consumption and thermal comfort; second, it is the development of an innovative multidisciplinary collaborative work platform, which allows team members from different professions to collaborate on the same real-time updated BIM model, thereby improving the efficiency and accuracy of the design and construction stages, while ensuring the effective implementation of energy-saving optimization measures. These two innovations not only solve the problems in the existing technology, but also bring breakthrough progress to the field of building energy conservation.

[0065] The beneficial effects of the present invention are mainly reflected in the following aspects: first, by constructing a sophisticated BIM model and integrating thermal performance parameters, the accuracy of building thermal performance analysis is greatly improved, so that building design can achieve energy efficiency optimization in the early stage; second, the developed intelligent simulation algorithm combines machine learning technology to automatically generate energy-saving optimization strategies, significantly improving the efficiency and quality of energy-saving design, while reducing design and construction costs; third, the establishment of a multidisciplinary collaborative work platform breaks the information island, promotes effective communication and collaboration between project team members, shortens the engineering cycle, and improves the coordination and success rate of project execution; in addition, the full life cycle energy management system realizes continuous monitoring and optimization of energy use in the building operation stage, which helps to reduce long-term operating costs and improve the sustainable performance of buildings; finally, through the integration of a user-friendly interface and mobile cloud technology, building energy-saving analysis and energy management are more convenient and intuitive, enhancing user participation and satisfaction. In general, the present invention provides a comprehensive, efficient and accurate solution for the field of building energy conservation through a series of innovative technologies, which has important practical application value for promoting green buildings and sustainable development. Description of the drawings:

[0066] Figure 1 This is a flow chart of steps 1-8 of the intelligent energy-saving analysis method of the present invention.

[0067] Figure 2 This is a flow chart of steps 9-16 of the intelligent energy-saving analysis method of the present invention.

Claims

1. An intelligent energy-saving analysis method for building thermal performance based on building information model (BIM), characterized in that The following steps are involved: (a) Using 3D laser scanning technology and parametric modeling software, a BIM model containing detailed information such as building geometry, material properties, and component connection relationships is constructed; (b) Integrate the thermal performance parameters of the building envelope into the BIM model, including thermal conductivity, heat capacity, thermal bridge effect coefficient, etc.; (c) Develop intelligent simulation algorithms based on physical laws to simulate heat conduction, thermal bridge effects and solar heat gain in buildings; (d) Automatically generate energy-saving optimization strategies based on simulation results using machine learning and optimization algorithms; (e) Establish a multidisciplinary collaborative work platform to enable real-time collaboration and decision-making among architects, engineers, contractors, and facility managers; (f) Combine BIM models with energy management systems to achieve continuous tracking, analysis and optimization of energy use and maintenance throughout the life cycle of a building.

2. The method according to independent claim 1, characterized in that The BIM model building step further includes: (i) Collect high-precision data of construction sites using drones and ground-based photogrammetry; (ii) Automatically update the building model through the parametric design function of BIM software; (iii) Integrate detailed manufacturing and installation information of building components to support material and cost management during the construction phase.

3. The intelligent energy-saving analysis method according to independent claim 1 has the core feature of using a comprehensive intelligent simulation algorithm, specifically including the following aspects: (i) Heat conduction simulation algorithm based on finite element analysis (FEA): This algorithm establishes a mathematical model of heat conduction by discretizing building components into a finite number of elements and nodes. The material property data in the BIM model, such as thermal conductivity, specific heat capacity, etc., are used to provide the necessary input parameters for FEA. The algorithm can accurately calculate the heat transfer path and temperature distribution under different materials and structural configurations. The expected result is to generate a detailed heat conduction report, including heat loss, thermal bridge effect, and internal temperature field distribution. (ii) Simulation algorithm combining building information modeling and computational fluid dynamics (CFD) technology: This algorithm integrates the three-dimensional geometric information of the BIM model and is used to set the computational domain of the CFD simulation. The air flow, temperature distribution and humidity changes inside the building are simulated through CFD technology, taking into account the effects of natural ventilation and mechanical ventilation. The algorithm can evaluate the impact of different ventilation strategies on the indoor thermal environment and provide suggestions for optimizing the design of the ventilation system for building design. The expected result is to provide an indoor thermal comfort analysis report, including air flow rate, temperature distribution and humidity level. (iii) Solar energy utilization simulation algorithm using solar radiation model and geographic information system (GIS) data: The algorithm combines solar radiation model to calculate the impact of solar radiation on the building based on the building's geographical location, orientation and seasonal changes. GIS data, including terrain, building shading and climate conditions, are used to adjust the input parameters of the solar radiation model to improve the accuracy of the simulation. The algorithm can evaluate the efficiency of the building's use of solar energy, including the potential for solar heating, natural lighting and solar power generation. The expected result is to generate a solar energy utilization analysis report to provide solar energy integration solutions for building design, such as solar panel layout and window design. Through the combined use of these three simulation algorithms, the intelligent energy-saving analysis method of the present invention can comprehensively evaluate the thermal performance of a building, provide scientific decision-making support for building design and operation, and achieve optimization and improvement of building energy efficiency.

4. The method according to claim 1 or 3, characterized in that The energy-saving optimization strategy generation module includes: (vii) Using multi-objective optimization algorithms, the optimal architectural design solution is automatically calculated taking into account the aesthetics, practicality, economy and energy efficiency of the building; (viii) Develop a user interface that allows users to adjust energy-saving optimization strategies based on actual needs and preferences; (ix) Combined with building life cycle cost analysis (LCCA), the economic benefits of energy-saving optimization strategies are evaluated.

5. The method according to independent claim 1 or 4, characterized in that The multidisciplinary collaborative work platform includes: (x) An integrated project management tool to track project progress and coordinate the work of various parties involved; (xi) A shared BIM model viewing and editing platform that supports personnel from different disciplines to access, comment on and modify the model; (xii) A communication and collaboration tool that supports instant messaging, video conferencing, and document sharing among team members.

6. The method according to independent claim 1 or 5, characterized in that The full life cycle energy management includes: (xiii) Establish a database on energy usage of buildings, record the energy consumption of buildings, and conduct trend analysis; (xiv) using data analytics and machine learning techniques to predict energy demand and energy saving potential of buildings; (xv) Implement energy audit and maintenance programs to optimize the energy efficiency of buildings and regularly evaluate the effectiveness of energy conservation measures.

7. The intelligent energy-saving analysis method according to independent claim 1, characterized in that: The method also includes the following specific implementation steps: (xvi) Energy-saving analysis and scheme design in the building design stage: Use the BIM model to conduct preliminary energy-saving analysis and evaluate the impact of different design schemes on building energy consumption. Apply intelligent simulation algorithms, such as FEA and CFD, to predict the thermal comfort and energy demand of the building under different design schemes. Based on the simulation results, conduct scheme design and select the optimal building layout, materials and component configuration to achieve the expected energy-saving goals. The expected result of the design stage is to form a set of energy-saving and functional-compliant building design schemes and generate the corresponding BIM models. (xvii) Construction simulation and material management during the building construction phase: Use BIM models to simulate the construction process in three dimensions to optimize construction plans and construction sequences. Apply BIM models to manage materials, including material procurement plans, inventory control, and on-site logistics arrangements. Through the integration of BIM model construction simulation, conflicts and problems that may arise during the construction process can be identified and solutions can be developed in advance. The expected results of the construction phase are to improve construction efficiency, reduce material waste, and ensure construction quality and safety. (xviii) Energy management and maintenance in the building operation phase: Use BIM models to integrate building operation data, including energy consumption, equipment status, and maintenance records. Apply intelligent algorithms, such as predictive maintenance based on machine learning, to monitor the condition and diagnose faults of building equipment. Implement energy management strategies, such as optimizing energy usage patterns, regular maintenance, and equipment upgrades to extend equipment life and reduce energy consumption. The expected results of the operation phase are to achieve efficient energy use in buildings, reduce operating costs, and improve sustainable performance of buildings. Through continuous application in the three stages of building design, construction and operation, the BIM model can provide support for energy-saving management and optimization throughout the building life cycle. This not only helps to improve the quality and efficiency of building design, but also ensures the smooth progress of the construction process and achieves continuous energy optimization and cost savings in the building operation stage.

8. The method according to independent claim 1, characterized in that The method further comprises: (xix) Using virtual reality (VR) and augmented reality (AR) technologies to provide users with intuitive display and interactive experience of energy-saving analysis results; (xx) Use mobile devices and cloud technology to enable anytime, anywhere access to BIM models and energy management; (xxi) Use blockchain technology to ensure the security and traceability of BIM model data.

9. The method according to independent claim 1 or 8, characterized in that The method further comprises: (xxii) Integrate with existing building design software and energy simulation software to achieve seamless data exchange and sharing; (xxiii) Develop a user-friendly interface to simplify user operation processes and improve user experience; (xxiv) Provide customized services and provide personalized energy-saving analysis and optimization solutions based on the specific needs of users.

10. The method according to independent claim 1 or 9, characterized in that The method further comprises: (xxv) Integrate real-time meteorological data and indoor and outdoor environmental monitoring data into BIM models to improve the accuracy and real-time performance of simulations; (xxvi) Develop intelligent diagnostic and predictive maintenance systems that use machine learning techniques to predict failure and maintenance needs of building equipment; (xxvii) Combine user behavior analysis to optimize the building’s energy usage pattern and improve energy efficiency and user satisfaction.

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