Low-carbon building design method based on full life cycle

Abstract

The invention relates to the technical field of building design, in particular to a low-carbon building design method based on a full life cycle. The method comprises the following steps: acquiring building material data; performing data preprocessing on the building material data to generate building material processing data; obtaining a building three-dimensional diagram and construction process data; performing material carbon emission coefficient calculation on the building material processing data to generate material carbon emission data; building a building dynamic process three-dimensional diagram by using the building three-dimensional diagram and the construction flow data, endowing material attributes by using building material data, endowing carbon emission by using material carbon emission data, and generating a three-dimensional dynamic carbon emission model; therefore, by constructing the full-life-cycle carbon emission three-dimensional dynamic model, the problem that in traditional building carbon emission evaluation, a static model is difficult to adapt to dynamic environment changes is solved, and the accuracy and real-time performance of building full-life-cycle carbon emission management are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of building design, and in particular to a low-carbon building design method based on the entire life cycle. Background Art

[0002] In the field of modern building design and construction, low-carbon buildings have received extensive attention and application as one of the important strategies to cope with global climate change. The goal of low-carbon buildings is to minimize the carbon emissions of buildings throughout their life cycle by optimizing building design, material selection and construction technology. However, traditional low-carbon building design methods have many limitations in achieving these goals, which are mainly reflected in the following aspects. First, traditional low-carbon building design usually relies on static carbon emission calculation models, which are based on fixed building material carbon emission coefficients and construction process carbon emission data. Although these models provide a rough estimate of carbon emissions, they cannot effectively respond to changes in building design, construction and operation due to the lack of dynamic adjustment mechanisms. This static approach makes it difficult for low-carbon building design to fully adapt to changing needs and environmental conditions in practical applications. Secondly, traditional low-carbon building design methods usually only focus on carbon emissions in specific stages (such as material procurement and construction stages) in life cycle assessment, while ignoring the dynamic changes in carbon emissions throughout the life cycle of the building. This approach leads to the underestimation and neglect of carbon emissions in certain stages, thus affecting the accurate assessment of overall carbon emissions. In addition, due to the lack of simulation and prediction of different scenarios, traditional methods are often not flexible and adaptable enough when facing unforeseen factors in the actual construction and operation stages. In traditional methods, the formulation of carbon emission strategies is often based on past experience and preset rules, rather than real-time data and dynamic adjustments. This strategy is often difficult to accurately optimize for actual carbon emissions. Summary of the invention

[0003] Based on this, it is necessary to provide a low-carbon building design method based on the entire life cycle to solve at least one of the above technical problems.

[0004] To achieve the above purpose, a low-carbon building design method based on the entire life cycle is provided, the method comprising the following steps:

[0005] Step S1: Acquire building material data; perform data preprocessing on the building material data to generate building material processing data;

[0006] Step S2: Obtain a three-dimensional building diagram and construction process data; calculate the material carbon emission coefficient for the building material processing data to generate material carbon emission data; construct a three-dimensional building dynamic process diagram using the three-dimensional building diagram and the construction process data, assign material properties using the building material data, and assign carbon emissions using the material carbon emission data to generate a three-dimensional dynamic carbon emission model; perform a full life cycle carbon emission analysis on the three-dimensional dynamic carbon emission model to generate full life cycle carbon emission analysis data; perform dynamic model generation on the full life cycle carbon emission analysis data to generate a three-dimensional dynamic model of full life cycle carbon emissions;

[0007] Step S3: Acquire real-time carbon emission data; generate a carbon emission report for the three-dimensional dynamic model of carbon emission throughout the life cycle, and generate a carbon emission report for the entire life cycle; generate a carbon emission reduction strategy for the carbon emission report throughout the life cycle, and generate a carbon emission strategy for the entire life cycle;

[0008] Step S4: Use the full life cycle carbon emission strategy to evaluate the carbon emissions of real-time carbon emission data and generate full life cycle assessment data; based on the full life cycle assessment data, perform low-carbon building design on the full life cycle carbon emission three-dimensional dynamic model, thereby completing the full life cycle low-carbon building design task.

[0009] The beneficial effect of the present invention is that by acquiring and processing building material data, the integrity and accuracy of the data are ensured, and reliable basic data is provided for subsequent carbon emission calculations. By integrating the building three-dimensional map and the construction process data, combining the building material data and the material carbon emission coefficient, a three-dimensional dynamic model reflecting the carbon emissions of the building throughout its life cycle is generated. The model not only accurately assigns the properties of the material, but also combines the actual construction process, thereby ensuring the temporal and spatial consistency of the carbon emission data. By dynamically analyzing and generating models of carbon emissions throughout the life cycle, the real-time and accuracy of the model are ensured, laying a data foundation for the subsequent formulation of carbon emission strategies. Real-time carbon emission data is obtained, and the data is used to generate a full life cycle carbon emission report and corresponding reduction strategies. This process realizes real-time monitoring and feedback of carbon emissions, so that the carbon emission strategy can be dynamically adjusted to cope with the ever-changing building environment and energy usage. Through the evaluation of real-time carbon emission data and the low-carbon design of the three-dimensional dynamic model of carbon emissions throughout the life cycle, the comprehensive optimization of the building design is achieved. This not only ensures that the carbon emissions of the building are minimized during use, but also effectively predicts and controls the future carbon emission trends. Through this series of steps, the technical solution successfully transforms the building's carbon emission management from static to dynamic throughout its life cycle, and can respond to changes in the building environment and energy use in real time, significantly improving the efficiency of carbon emission management during building design and construction. Therefore, by constructing a three-dimensional dynamic model of carbon emissions throughout the life cycle, the present invention solves the problem that static models in traditional building carbon emission assessments are difficult to adapt to dynamic environmental changes, and improves the accuracy and real-time performance of building carbon emission management throughout its life cycle.

[0010] Preferably, step S1 comprises the following steps:

[0011] Step S11: Acquire building material data;

[0012] Step S12: using the hash method to detect duplicate data of the building material data and perform deletion processing to generate building material cleansing data;

[0013] Step S13: performing data standardization processing on the building material cleaning data to generate building material standardized data;

[0014] Step S14: labeling the standardized building material data to generate building material processing data.

[0015] The present invention ensures the integrity and richness of the data source by acquiring the original building material data, laying the foundation for the subsequent processing steps. The hash method is introduced to detect and delete duplicate data. The hash method effectively eliminates duplicate data by quickly and accurately identifying the data, and generates cleaned building material data. This process not only reduces the interference of redundant data on subsequent processing, but also improves the efficiency of data processing, and provides a reliable method for processing large-scale data sets. The cleaned data is standardized. Data standardization is a key step to ensure that data from different sources are compared and analyzed on the same scale. Through standardization, the generated standardized building material data not only unifies the dimension of the data, but also eliminates the errors caused by data scale differences, providing highly consistent input data for subsequent analysis. In addition, standardization also enhances the operability of data in multi-dimensional analysis, so that data of different materials can be compared and comprehensively evaluated within the same analysis framework. By labeling the standardized data with building materials, building material processing data is generated. The labeling process combines the actual properties of the material with the application scenario, and gives clear semantic information to each piece of data. This process not only improves the interpretability of the data, but also provides targeted input data for subsequent modeling and analysis, enabling the model to more accurately reflect the true characteristics and application effects of building materials.

[0016] Preferably, step S2 comprises the following steps:

[0017] Step S21: Obtaining a three-dimensional building map and construction process data;

[0018] Step S22: performing material type analysis on the building material processing data to generate material type result data; performing material carbon emission coefficient calculation on the material type result data to generate material carbon emission data;

[0019] Step S23: construct a three-dimensional diagram of the building dynamic process using the building three-dimensional diagram and the construction process data, assign material properties using the building material data, and assign carbon emissions using the material carbon emission data to generate a three-dimensional dynamic carbon emission model;

[0020] Step S24: Generate construction and operation carbon emission data for the three-dimensional dynamic carbon emission model to generate construction and operation carbon emission data; perform building demolition simulation on the three-dimensional dynamic carbon emission model to generate low-carbon building demolition simulation data; perform carbon emission detection on the low-carbon building demolition simulation data to generate low-carbon building demolition carbon emission data; dynamically fuse the construction and operation carbon emission data with the low-carbon building demolition carbon emission data to generate a full low-carbon building life cycle carbon emission data set; perform a full life cycle carbon emission analysis on the three-dimensional dynamic carbon emission model based on the full low-carbon building life cycle carbon emission data set to generate full life cycle carbon emission analysis data; perform dynamic model generation on the full life cycle carbon emission analysis data to generate a three-dimensional dynamic model of full life cycle carbon emissions.

[0021] The present invention ensures the basic information integrity of the model by obtaining the three-dimensional building map and construction process data, and provides detailed data support for subsequent data processing. Then, in step S22, the material type analysis is performed on the building material processing data to generate material type result data. This step distinguishes the carbon emission characteristics of different materials by classifying and identifying building materials, and then generates high-precision material carbon emission data in the calculation of material carbon emission coefficients. The material carbon emission data not only reflects the carbon emissions generated by various materials during use, but also provides important input data for subsequent carbon emission assignment and model construction. By using the three-dimensional building map and construction process data, a three-dimensional building dynamic process map is successfully constructed, and a three-dimensional dynamic carbon emission model is generated by assigning material properties and carbon emission data to the three-dimensional map. On the basis of accurately simulating the use and construction process of building materials, the model dynamically reflects the carbon emissions of the building at different stages, laying the foundation for the analysis of carbon emissions throughout the life cycle. Further, the three-dimensional dynamic carbon emission model is used to generate construction operation carbon emission data, and low-carbon building demolition simulation data is generated through building demolition simulation, ensuring that the model comprehensively evaluates the carbon emissions in the building operation and demolition stages. By dynamically integrating the carbon emission data of construction and operation and the carbon emission data of low-carbon building demolition, a carbon emission data set covering the entire life cycle of the building was generated. This data set not only comprehensively reflects the carbon emission dynamics of the entire process of building from construction to demolition, but also provides a key basis for the subsequent full life cycle carbon emission analysis. Finally, by conducting a full life cycle carbon emission analysis on the three-dimensional dynamic carbon emission model based on this data set, full life cycle carbon emission analysis data was generated, and a three-dimensional dynamic model of full life cycle carbon emissions was further generated. This dynamic model accurately reflects the carbon emission trend of the building throughout its life cycle by integrating the carbon emission data of each stage of the building, providing scientific data support for low-carbon building design.

[0022] Preferably, step S23 includes the following steps:

[0023] Step S231: Perform architectural hierarchical analysis on the three-dimensional building image to generate architectural hierarchical analysis data; establish a time-space axis on the construction process data to generate architectural space rectangular coordinate data;

[0024] Step S232: Perform analytical hierarchical mapping based on the building space rectangular coordinate data and the building analytical hierarchical data to generate a three-dimensional model main frame; dynamically associate the building material data with the material type of the three-dimensional model main frame to generate a dynamic material three-dimensional model; use the material carbon emission data to assign carbon emissions to the dynamic material three-dimensional model to generate a three-dimensional carbon emission model;

[0025] Step S233: Perform carbon emission spatial distribution analysis on the three-dimensional carbon emission model to generate carbon emission spatial distribution data; use the carbon emission spatial distribution data to write carbon emission cumulative integral data into the three-dimensional carbon emission model to generate a three-dimensional dynamic carbon emission model.

[0026] The present invention generates architectural analytical hierarchical data by performing architectural hierarchical analysis on the three-dimensional image of the building, and generates architectural spatial rectangular coordinate data by establishing a time-space axis for the construction process data. In this process, the generation of analytical hierarchical data and spatial coordinate data lays a solid foundation for the subsequent construction of the three-dimensional model, ensuring the accuracy and integrity of the model in the spatial and temporal dimensions. The main framework of the three-dimensional model is generated by performing analytical hierarchical mapping of the architectural spatial rectangular coordinate data and the architectural analytical hierarchical data. The framework not only reflects the spatial structure and hierarchical relationship of the building, but also provides the necessary skeleton support for the subsequent dynamic association of material data. Subsequently, the building material data is dynamically associated with the material type of the main framework of the three-dimensional model to generate a dynamic material three-dimensional model. Through this process, the material data is dynamically displayed in the model, and the type information of the material is fully expressed. This dynamic association ensures the matching degree between the material properties of the model and the actual building materials, thereby creating conditions for the assignment of material carbon emissions. In the process of carbon emission assignment, the dynamic material three-dimensional model is assigned carbon emissions using the material carbon emission data to generate a three-dimensional carbon emission model. This step enables the model to dynamically reflect the carbon emissions of building materials throughout the life cycle through accurate carbon emission data mapping. The model not only intuitively displays the spatial distribution of carbon emissions, but also provides an accurate quantitative basis for subsequent carbon emission analysis. By analyzing the spatial distribution of carbon emissions in the three-dimensional carbon emission model, the spatial distribution data of carbon emissions was generated. The data intuitively displays the distribution of carbon emissions in various spatial areas of the building and reveals the relationship between building structure and carbon emissions. The spatial distribution data of carbon emissions was used to write the cumulative integral data of carbon emissions into the three-dimensional carbon emission model to generate a three-dimensional dynamic carbon emission model. This process ensures the dynamic accumulation of carbon emission data and the continuity of the model, so that the model can comprehensively and accurately reflect the trend of carbon emissions changes throughout the life cycle of the building, providing a strong basis for low-carbon building design.

[0027] Preferably, step S3 comprises the following steps:

[0028] Step S31: Generate a carbon emission report for the full life cycle carbon emission three-dimensional dynamic model to generate a full life cycle carbon emission report, wherein the full life cycle carbon emission report includes a building material carbon emission report, a construction process carbon emission report and a building demolition carbon emission report;

[0029] Step S32: Analyze the carbon emission impact factors of the full life cycle carbon emission report to generate carbon emission impact factors; perform carbon emission quantitative assessment on the carbon emission contribution data to generate full life cycle building carbon emission assessment data;

[0030] Step S33: Generate a carbon emission reduction strategy based on the full life cycle building carbon emission assessment data to generate a full life cycle carbon emission strategy.

[0031] The present invention can provide detailed data support for carbon emissions in the entire life cycle of a building through a carbon emission report generated based on a three-dimensional dynamic model of carbon emissions in the entire life cycle, covering the carbon emissions of material use, construction operations, and the final demolition process. This phased report generation method ensures the comprehensiveness and meticulousness of carbon emission data. Through in-depth analysis of the carbon emission report, the factors affecting carbon emissions, such as material type, construction technology, energy use, and waste recycling, are further identified. The extraction and analysis of these factors help to identify the key driving factors of carbon emissions, thereby providing accurate data basis for subsequent carbon emission optimization. Next, through the quantitative evaluation of carbon emission contribution data, comprehensive carbon emission assessment data is generated, further strengthening the understanding of carbon emissions. The data processing steps in this process ensure that each level of carbon emission analysis can accurately reflect the carbon emission characteristics of the building in the entire life cycle. Finally, based on the above analysis, a full life cycle carbon emission strategy is generated. This strategy is based on the optimization of carbon emissions in each link of the building's entire life cycle, and differentiated emission reduction measures are formulated for different carbon emission factors. The formulation process of this strategy relies on detailed data analysis and model evaluation in the early stage, making the strategy more scientific and feasible, and can effectively guide the design and practice of low-carbon buildings, thereby minimizing carbon emissions throughout the life cycle of the building.

[0032] Preferably, step S31 includes the following steps:

[0033] Step S311: Generate a carbon emission report for the full life cycle carbon emission three-dimensional dynamic model to generate a full life cycle carbon emission report, wherein the full life cycle carbon emission report includes a building material carbon emission report, a construction process carbon emission report and a building demolition carbon emission report;

[0034] Step S312: Use life cycle assessment technology to perform material life cycle assessment on material carbon emission data and construction process data to generate material life cycle assessment data; use a preset carbon emission coefficient to perform carbon emission summary calculation on the material life cycle assessment data to generate a building material carbon emission report;

[0035] Step S313: trace the energy consumption of the construction process data to generate the construction process energy consumption data; perform carbon emission analysis on the construction process energy consumption data to generate the construction process carbon emission data; perform phased emission summary processing on the construction process carbon emission data to generate a construction process carbon emission report;

[0036] Step S314: simulate the building demolition data of the three-dimensional dynamic model of carbon emissions throughout the life cycle to generate low-carbon building demolition waste data; perform carbon emission reduction analysis on the low-carbon building demolition waste data to generate carbon emission reduction data; perform carbon emission cumulative integration on the low-carbon building demolition waste data and carbon emission reduction data to generate a building demolition carbon emission report.

[0037] The present invention generates a full life cycle carbon emission report, which covers the carbon emission information of three stages: building materials, construction process and building demolition. This all-round report generation not only provides detailed data on carbon emissions at each stage, but also ensures the comprehensiveness of the analysis, forming a multi-level and comprehensive carbon emission data foundation, laying the foundation for subsequent in-depth analysis. The use of life cycle assessment technology to conduct life cycle assessment of material carbon emission data and construction process data can systematically measure and record the carbon emissions of each material and process throughout the life cycle. This method converts material life cycle assessment data into a building material carbon emission report through accurate carbon emission coefficient calculation, which not only helps to identify the carbon emissions contributed by different materials throughout the construction process, but also provides a scientific basis for formulating emission reduction strategies. The advantage of this process is that it can be refined to the material level, thereby achieving more accurate carbon emission management. By tracing the energy consumption of the construction process data, the energy consumption data of the construction process is generated, and its carbon emissions are further analyzed to form the carbon emission data of the construction process. The phased emissions of these data are summarized and processed to generate a construction process carbon emission report. This method can record the carbon emissions of the construction stage in detail, thereby identifying high emission stages and potential improvement points. The implementation of this process makes the carbon emission assessment in the construction phase more detailed and systematic, and provides data support for energy conservation and emission reduction in the construction process. Finally, through the simulation of building demolition data, low-carbon building demolition waste data is generated, and carbon emission reduction analysis is performed to generate carbon emission reduction data. This process integrates the treatment of waste and the reduction effect of carbon emissions in one report, and finally generates a building demolition carbon emission report by cumulatively integrating carbon emissions of these data. This processing method effectively evaluates the carbon emissions in the demolition stage, while taking into account the potential carbon emission reduction effect of waste recycling, thereby providing a comprehensive carbon emission analysis view of the demolition stage.

[0038] Preferably, step S32 includes the following steps:

[0039] Step S321: Analyze the carbon emission influencing factors of the full life cycle carbon emission report to generate carbon emission influencing factors, where the carbon emission influencing factors include material type factors, construction process factors, energy use factors and waste recycling factors;

[0040] Step S322: using the construction process factor as the X coordinate, the energy use factor as the Y coordinate, and the waste recycling factor as the Z coordinate to perform three-dimensional space coordinate mapping, and using the material type factor to assign material attributes to generate three-dimensional space influencing factor data;

[0041] Step S323: Perform layered contribution analysis on the three-dimensional spatial influencing factor data to generate carbon emission contribution data; perform carbon emission quantitative assessment on the carbon emission contribution data to generate full life cycle building carbon emission assessment data.

[0042] The present invention generates carbon emission influencing factors including material type factors, construction process factors, energy use factors and waste recycling factors by analyzing the carbon emission influencing factors of the full life cycle carbon emission report. The refinement of these factors makes the carbon emission influencing factors clear and lays the foundation for subsequent spatial mapping and data analysis. The main advantage of this stage is that it provides a systematic understanding of the carbon emission influencing factors, so that the specific contribution of each factor can be clearly identified, and provides data support for the formulation of targeted emission reduction strategies. By using the construction process factor, energy use factor and waste recycling factor as the X, Y and Z axes of the three-dimensional space coordinates, and using the material type factor for material attribute assignment, three-dimensional space influencing factor data is generated. This three-dimensional space mapping method allows the role of each influencing factor to be comprehensively considered from multiple dimensions, so as to intuitively show their mutual relationship and influence in space. The advantage of this method is that it can comprehensively visualize the distribution of carbon emission influencing factors in different dimensions, helping decision makers better understand the impact of each factor on overall carbon emissions. The generated three-dimensional spatial influencing factor data is further analyzed by layered contribution, and then carbon emission contribution data is generated, and these data are quantitatively evaluated to form the carbon emission assessment data of the whole life cycle of the building. This process can quantify the specific contribution of each influencing factor through detailed analysis of the data contribution at different levels, so as to accurately evaluate the carbon emissions in the whole building life cycle. The implementation of this step makes the assessment of carbon emissions more hierarchical and systematic, and provides a reliable data basis for the formulation of subsequent emission reduction strategies.

[0043] Preferably, step S33 includes the following steps:

[0044] Step S331: Acquire real-time carbon emission data and a material database; use a preset carbon emission evaluation standard to predict the causes of carbon emissions on the real-time carbon emission data, and generate real-time carbon emission prediction data results, where the real-time carbon emission data results include excessive material emissions, excessive construction process emissions, and excessive waste emissions; generate a carbon emission reduction strategy for the full life cycle building carbon emission assessment data to obtain a full life cycle carbon emission strategy, where the full life cycle carbon emission strategy includes a material optimization strategy, a construction process improvement strategy, and a waste recycling strategy;

[0045] Step S332: When the real-time carbon emission prediction data result is that the material emission is too high, the carbon emission contribution data is screened for high carbon emissions to generate high carbon material data; the high carbon materials are selected for substitution using the material database to generate high carbon material substitution data; the three-dimensional dynamic carbon emission model is simulated for carbon emissions based on the high carbon material substitution data to generate a material optimization strategy;

[0046] Step S333: When the real-time carbon emission prediction data result shows that the construction process emission is too high, high carbon emission processes are identified based on the construction process energy consumption data to generate high carbon emission process data; energy efficiency evaluation technology is used to optimize the high carbon emission process data path to generate a construction process improvement strategy;

[0047] Step S334: When the real-time carbon emission prediction data result is that the waste emission is too high, the carbon emission reduction data is traced back to different recycling channels for analysis to generate a waste carbon emission channel data set; the waste carbon emission channel data is processed by carbon emission points to generate waste carbon emission points data; the waste carbon emission points data is sorted by carbon emissions to generate a waste recycling strategy.

[0048] The present invention uses real-time carbon emission data and a material database to comprehensively utilize real-time carbon emission data and predict the causes of real-time carbon emission data according to preset carbon emission evaluation standards. This process not only generates prediction data results including excessive material emissions, excessive construction process emissions, and excessive waste emissions, but also clarifies the specific sources of various types of emissions exceeding the standard. In this way, carbon emission hotspots in each link can be effectively identified, thereby providing clear data support for the subsequent optimization strategy formulation. When it is identified that the material emission is too high, high carbon emission data is generated by screening the high carbon emission of the carbon emission contribution data, and the material database is used for alternative selection. This process enables the optimization of material use and the reduction of carbon emissions of materials through scientific data screening and alternative selection. These optimization measures are applied to a three-dimensional dynamic carbon emission model, and through carbon emission simulation, a material optimization strategy can be effectively generated, thereby reducing the carbon footprint of building materials in practical applications and improving the environmental protection and economy of material use. In view of the situation where the construction process emissions are too high, high carbon emission process data is generated by identifying high carbon emission processes based on construction process energy consumption data, and energy efficiency evaluation technology is further applied for path optimization processing. This method can effectively identify and optimize construction processes with high carbon emissions. By improving the construction process, it can reduce carbon emissions during the construction phase and improve the energy efficiency of the construction process, thereby promoting low-carbon development during the construction phase. When waste emissions are too high, a waste carbon emission channel data set is generated through the tracing analysis of the recycling channels of carbon emission reduction data, and the carbon emission points are processed and sorted. This process clarifies the emission sources and treatment channels of waste through detailed data analysis and processing, and forms a waste recycling strategy. This strategy not only improves the efficiency of waste recycling, but also effectively reduces the carbon emissions generated during the waste treatment process, which helps to achieve the resource treatment of waste.

[0049] Preferably, step S4 comprises the following steps:

[0050] Step S41: Performing strategy matching analysis on real-time carbon emission data based on the full life cycle carbon emission strategy to generate carbon emission strategy fitness data;

[0051] Step S42: performing carbon emission trend prediction on the carbon emission strategy adaptation data to generate carbon emission prediction data;

[0052] Step S43: Perform carbon emission assessment on the carbon emission prediction data to generate full life cycle assessment data; perform low-carbon building design on the full life cycle carbon emission three-dimensional dynamic model based on the full life cycle assessment data, thereby completing the full life cycle low-carbon building design task.

[0053] The present invention generates carbon emission strategy fitness data by performing strategy matching analysis on real-time carbon emission data. The key to this step is to match the full life cycle carbon emission strategy with the actual carbon emission data and evaluate the fitness of the current strategy. Through this matching analysis, the advantages and disadvantages of the strategy are identified, and the strategy is adjusted in a targeted manner to improve its consistency with the actual carbon emission situation. This not only makes the carbon emission management measures closer to actual needs, but also can effectively guide subsequent strategy adjustments and optimizations to ensure that the implementation effect of the strategy is maximized. Carbon emission trend prediction based on carbon emission strategy fitness data generates carbon emission prediction data. This step predicts future carbon emission trends through in-depth analysis of fitness data, thereby providing a forward-looking prediction of future carbon emission changes. Through trend prediction, potential carbon emission growth points and reduction points can be revealed, providing a scientific basis for carbon emission management, helping to formulate more forward-looking low-carbon strategies, and thus taking carbon emission changes into account in the design stage. Full life cycle assessment data is generated based on carbon emission forecast data. This step generates full life cycle assessment data by evaluating carbon emission forecast data. These assessment data not only provide detailed information on carbon emissions throughout the building's life cycle, but also provide data support for low-carbon building design. Based on these assessment data, a low-carbon building design is performed on the three-dimensional dynamic model of carbon emissions throughout the life cycle, thus completing the low-carbon building design task. This step ensures that low-carbon building design can effectively reduce carbon emissions and optimize building performance in practical applications, fully reflecting the scientific and systematic management of carbon emissions.

[0054] Preferably, step S43 includes the following steps:

[0055] Step S431: performing carbon emission assessment on the carbon emission forecast data to generate full life cycle assessment data;

[0056] Step S432: dynamically adjusting the design parameters of the three-dimensional dynamic model of carbon emissions throughout the life cycle according to the full life cycle assessment data, and generating design adjustment solution data;

[0057] Step S433: Perform multi-scenario simulation analysis on the full life cycle carbon emission report based on the design adjustment scheme data to generate full life cycle building scenario adaptability data;

[0058] Step S434: Based on the full-life building scenario adaptability data, a low-carbon building design is performed on the full-life cycle carbon emission three-dimensional dynamic model, thereby completing the full-life cycle low-carbon building design task.

[0059] The present invention generates full life cycle assessment data by evaluating the carbon emission prediction data. The key to this step is to convert the predicted carbon emission data into systematic assessment data, so as to fully understand the carbon emission characteristics of the building throughout its life cycle. The generated full life cycle assessment data not only provides detailed basic information on carbon emissions for architectural design, but also lays a data foundation for subsequent design adjustments and optimizations. This detailed data support can reveal the carbon emissions of buildings at different life cycle stages and guide designers to make scientific decisions. Based on the full life cycle assessment data, the design parameters of the three-dimensional dynamic model of full life cycle carbon emissions are dynamically adjusted to generate design adjustment scheme data. This process converts the assessment data into an actual design adjustment scheme so that the design parameters can adapt to changes in actual carbon emissions. By dynamically adjusting the design parameters, the demand for carbon emission management in architectural design can be reflected in real time, thereby optimizing the design scheme and reducing unnecessary carbon emissions. This step improves the flexibility and adaptability of the design, ensuring that the design scheme can effectively reduce carbon emissions in actual implementation. Based on the design adjustment scheme data, a multi-scenario simulation analysis of the full life cycle carbon emission report is performed to generate full life cycle building scenario adaptability data. This step simulates and analyzes the carbon emission data under different scenarios to evaluate the adaptability of the design adjustment scheme in various practical situations. This multi-scenario analysis not only verifies the effectiveness of the design scheme under different conditions, but also identifies potential adaptation problems to ensure the wide applicability and reliability of the design in practical applications. The full life cycle building scenario adaptability data provides feedback in practical applications for the final design and further optimizes the design scheme. Finally, based on the full life cycle building scenario adaptability data, the three-dimensional dynamic model of full life cycle carbon emissions was designed for low-carbon buildings, completing the low-carbon building design operation. This step integrates the previous data analysis and design adjustments into the actual design, ensuring that the final design can effectively reduce carbon emissions. By integrating the results of all steps, the goal of low-carbon building design is achieved, reflecting the scientific and systematic nature of the design process.

[0060] The beneficial effect of the present invention is that by acquiring and processing building material data, the integrity and accuracy of the data are ensured, and reliable basic data is provided for subsequent carbon emission calculations. By integrating the building three-dimensional map and the construction process data, combining the building material data and the material carbon emission coefficient, a three-dimensional dynamic model reflecting the carbon emissions of the building throughout its life cycle is generated. The model not only accurately assigns the properties of the material, but also combines the actual construction process, thereby ensuring the temporal and spatial consistency of the carbon emission data. By dynamically analyzing and generating models of carbon emissions throughout the life cycle, the real-time and accuracy of the model are ensured, laying a data foundation for the subsequent formulation of carbon emission strategies. Real-time carbon emission data is obtained, and the data is used to generate a full life cycle carbon emission report and corresponding reduction strategies. This process realizes real-time monitoring and feedback of carbon emissions, so that the carbon emission strategy can be dynamically adjusted to cope with the ever-changing building environment and energy usage. Through the evaluation of real-time carbon emission data and the low-carbon design of the three-dimensional dynamic model of carbon emissions throughout the life cycle, the comprehensive optimization of the building design is achieved. This not only ensures that the carbon emissions of the building are minimized during use, but also effectively predicts and controls the future carbon emission trends. Through this series of steps, the technical solution successfully transforms the building's carbon emission management from static to dynamic throughout its life cycle, and can respond to changes in the building environment and energy use in real time, significantly improving the efficiency of carbon emission management during building design and construction. Therefore, by constructing a three-dimensional dynamic model of carbon emissions throughout the life cycle, the present invention solves the problem that static models in traditional building carbon emission assessments are difficult to adapt to dynamic environmental changes, and improves the accuracy and real-time performance of building carbon emission management throughout its life cycle. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] Figure 1 A schematic diagram of the steps of a low-carbon building design method based on the entire life cycle;

[0062] Figure 2 for Figure 1 Detailed implementation steps of step S2 in the flowchart;

[0063] Figure 3 for Figure 1 Detailed implementation steps of step S3 in FIG.

[0064] Figure 4 for Figure 1 Detailed implementation steps of step S4 in FIG.

[0065] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0066] The following is a clear and complete description of the technical method of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are 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 technicians in this field without creative work are within the scope of protection of the present invention.

[0067] In addition, the accompanying drawings are only schematic illustrations of the present invention and are not necessarily drawn to scale. The same reference numerals in the figures represent the same or similar parts, and their repeated description will be omitted. Some of the block diagrams shown in the accompanying drawings are functional entities and do not necessarily correspond to physically or logically independent entities. The functional entities are implemented in software form, or in one or more hardware modules or integrated circuits, or in different network and / or processor methods and / or microcontroller methods.

[0068] It should be understood that, although the terms "first", "second", etc. may be used herein to describe various units, these units should not be limited by these terms. These terms are used only to distinguish one unit from another unit. For example, without departing from the scope of the exemplary embodiments, the first unit may be referred to as the second unit, and similarly the second unit may be referred to as the first unit. The term "and / or" used herein includes any and all combinations of one or more of the listed associated items.

[0069] To achieve this, please refer to Figures 1 to 4 , a low-carbon building design method based on the entire life cycle, the method comprising the following steps:

[0070] Step S1: Acquire building material data; perform data preprocessing on the building material data to generate building material processing data;

[0071] Step S2: Obtain a three-dimensional building diagram and construction process data; calculate the material carbon emission coefficient for the building material processing data to generate material carbon emission data; construct a three-dimensional building dynamic process diagram using the three-dimensional building diagram and the construction process data, assign material properties using the building material data, and assign carbon emissions using the material carbon emission data to generate a three-dimensional dynamic carbon emission model; perform a full life cycle carbon emission analysis on the three-dimensional dynamic carbon emission model to generate full life cycle carbon emission analysis data; perform dynamic model generation on the full life cycle carbon emission analysis data to generate a three-dimensional dynamic model of full life cycle carbon emissions;

[0072] Step S3: Acquire real-time carbon emission data; generate a carbon emission report for the three-dimensional dynamic model of carbon emission throughout the life cycle, and generate a carbon emission report for the entire life cycle; generate a carbon emission reduction strategy for the carbon emission report throughout the life cycle, and generate a carbon emission strategy for the entire life cycle;

[0073] Step S4: Use the full life cycle carbon emission strategy to evaluate the carbon emissions of real-time carbon emission data and generate full life cycle assessment data; based on the full life cycle assessment data, perform low-carbon building design on the full life cycle carbon emission three-dimensional dynamic model, thereby completing the full life cycle low-carbon building design task.

[0074] The beneficial effect of the present invention is that by acquiring and processing building material data, the integrity and accuracy of the data are ensured, and reliable basic data is provided for subsequent carbon emission calculations. By integrating the building three-dimensional map and the construction process data, combining the building material data and the material carbon emission coefficient, a three-dimensional dynamic model reflecting the carbon emissions of the building throughout its life cycle is generated. The model not only accurately assigns the properties of the material, but also combines the actual construction process, thereby ensuring the temporal and spatial consistency of the carbon emission data. By dynamically analyzing and generating models of carbon emissions throughout the life cycle, the real-time and accuracy of the model are ensured, laying a data foundation for the subsequent formulation of carbon emission strategies. Real-time carbon emission data is obtained, and the data is used to generate a full life cycle carbon emission report and corresponding reduction strategies. This process realizes real-time monitoring and feedback of carbon emissions, so that the carbon emission strategy can be dynamically adjusted to cope with the ever-changing building environment and energy usage. Through the evaluation of real-time carbon emission data and the low-carbon design of the three-dimensional dynamic model of carbon emissions throughout the life cycle, the comprehensive optimization of the building design is achieved. This not only ensures that the carbon emissions of the building are minimized during use, but also effectively predicts and controls the future carbon emission trends. Through this series of steps, the technical solution successfully transforms the building's carbon emission management from static to dynamic throughout its life cycle, and can respond to changes in the building environment and energy use in real time, significantly improving the efficiency of carbon emission management during building design and construction. Therefore, by constructing a three-dimensional dynamic model of carbon emissions throughout the life cycle, the present invention solves the problem that static models in traditional building carbon emission assessments are difficult to adapt to dynamic environmental changes, and improves the accuracy and real-time performance of building carbon emission management throughout its life cycle.

[0075] In the embodiment of the present invention, reference Figure 1 The above is a schematic diagram of the steps of a low-carbon building design method based on the entire life cycle of the present invention. In this example, the low-carbon building design method based on the entire life cycle includes the following steps:

[0076] Step S1: Acquire building material data; perform data preprocessing on the building material data to generate building material processing data;

[0077] In the embodiment of the present invention, obtaining building material data is the starting point of the entire data processing process. Building material data includes basic information of various building materials, such as material types, specifications, performance indicators, sources and prices. These data are obtained through various channels, including supplier databases, building material catalogs, industry standard documents and actual procurement records. These data exist in structured and semi-structured formats, covering the detailed properties and actual applications of materials. After data acquisition, data preprocessing is a key step to ensure data quality and analysis accuracy. The technical means of data preprocessing mainly include data cleaning, data conversion and data standardization. The main task of data cleaning is to deal with missing values, outliers and duplicate data. For building material data, this means that it is necessary to identify and correct errors in the data, missing material specifications and price information, fill in missing data through interpolation technology, and identify and correct unreasonable material property values ​​through outlier detection algorithms. Duplicate data detection eliminates duplicate entries in the data set through hashing and other deduplication algorithms, thereby avoiding deviations in subsequent analysis. Data conversion is to convert raw data into a format suitable for analysis. In the construction material data, the values ​​of different units are unified into standard units, and the prices of materials provided by different suppliers are unified into the price per square meter. It is also necessary to unify the data format for subsequent analysis and processing. Data standardization refers to the normalization of construction material data.

[0078] Step S2: Obtain a three-dimensional building diagram and construction process data; calculate the material carbon emission coefficient for the building material processing data to generate material carbon emission data; construct a three-dimensional building dynamic process diagram using the three-dimensional building diagram and the construction process data, assign material properties using the building material data, and assign carbon emissions using the material carbon emission data to generate a three-dimensional dynamic carbon emission model; perform a full life cycle carbon emission analysis on the three-dimensional dynamic carbon emission model to generate full life cycle carbon emission analysis data; perform dynamic model generation on the full life cycle carbon emission analysis data to generate a three-dimensional dynamic model of full life cycle carbon emissions;

[0079] In the embodiment of the present invention, obtaining the three-dimensional drawing of the building and the construction process data is the basis for constructing a three-dimensional dynamic carbon emission model. This process is realized by BIM (Building Information Modeling) technology. The BIM model can provide detailed three-dimensional drawings of the building, including the structure, spatial layout and material information of the building. In addition, the construction process data comes from the construction plan and construction records, including time schedule, process flow of the construction stage, and resource allocation information. These data are collected in real time through the construction management system, on-site sensors and monitoring equipment, and integrated in the BIM environment. Calculating the material carbon emission coefficient for building material processing data is the core step of carbon emission analysis. The material carbon emission coefficient is a key indicator to measure the carbon dioxide emissions generated by each unit of material during its production, transportation, use and processing. This coefficient is based on the industry standard and verified carbon emission factor database, the emission factor library provided by the IPCC (Intergovernmental Panel on Climate Change). In the specific calculation process, by finding the carbon emission factor of the corresponding material type and combining the quantity information in the building material processing data, the numerical calculation model is used to calculate the total carbon emissions, thereby generating accurate material carbon emission data. The process of constructing a three-dimensional dynamic process diagram of a building using a three-dimensional building diagram and construction process data integrates the spatial structure and time dimension of the building. This step forms a dynamic process model of the building by combining the geometric form of the building with the time nodes of the construction process in a three-dimensional coordinate system. This model not only includes the physical position and form of each part of the building, but also includes the dynamic changes during the construction process. By associating the building material data with the three-dimensional model, the material properties are assigned to the corresponding building parts, making the model more accurate and physically meaningful. The material carbon emission data is assigned to the three-dimensional model to form a three-dimensional dynamic carbon emission model. This process visualizes the spatial distribution of carbon emissions by assigning carbon emission data to each part of the building model according to material properties. This model can not only show the carbon emissions of the building at different stages, but also analyze the carbon emission contributions of different materials to help identify high-carbon emission areas and links. The purpose of conducting a life cycle carbon emission analysis on the three-dimensional dynamic carbon emission model is to evaluate the total carbon emissions of the building over its entire life cycle. The life cycle analysis (LCA) method is used to calculate and evaluate the carbon emissions of a building from material acquisition, production, construction, operation to final demolition. This analysis relies on the spatiotemporal data in the dynamic model, accumulates the carbon emission data of each stage and performs time series analysis to generate the carbon emission analysis data for the entire life cycle. Finally, the dynamic model is generated based on the carbon emission analysis data for the entire life cycle, that is, a three-dimensional dynamic model of carbon emissions for the entire life cycle is generated.This model comprehensively considers all sources of carbon emissions in the life cycle of a building and visualizes them as a three-dimensional dynamic model, which can dynamically display the changes in carbon emissions of a building at different stages of its life cycle.

[0080] Step S3: Acquire real-time carbon emission data; generate a carbon emission report for the three-dimensional dynamic model of carbon emission throughout the life cycle, and generate a carbon emission report for the entire life cycle; generate a carbon emission reduction strategy for the carbon emission report throughout the life cycle, and generate a carbon emission strategy for the entire life cycle;

[0081] In the embodiment of the present invention, obtaining real-time carbon emission data is a key link in the whole process, and this process depends on the real-time monitoring system and data acquisition equipment. Through the sensor network installed at various key locations of the building, carbon emission data including energy consumption, material use, waste disposal and other dimensions are monitored in real time. The data collected by these sensors are transmitted to the central database through the Internet of Things (IoT) technology to form a dynamically updated carbon emission data set. The acquisition of real-time carbon emission data can not only reflect the carbon emission level of the building at different stages, but also provide timely input for subsequent carbon emission analysis and strategy formulation. The carbon emission report is generated for the three-dimensional dynamic model of carbon emissions throughout the life cycle, and this process uses the integration and analysis of multidimensional data. Using the data in the three-dimensional dynamic model of carbon emissions throughout the life cycle, the carbon emissions of the building from material acquisition, production and manufacturing, construction process, use and maintenance to final demolition are comprehensively evaluated. In this process, relying on the multi-dimensional data analysis model, the carbon emission data is classified and summarized according to different dimensions such as stage, material type, and construction process. Through data analysis tools (such as statistical analysis software), these multi-dimensional data are integrated into a structured carbon emission report. The report includes a carbon emission report for building materials, a carbon emission report for the construction process, and a carbon emission report for building demolition, which provide detailed carbon emission descriptions for different stages of the building life cycle. The process of generating carbon emission reduction strategies for the full life cycle carbon emission report relies on advanced data analysis and optimization algorithms. By analyzing the carbon emission data of each stage, material, and process in the carbon emission report, the main sources and key links of carbon emissions are identified. Then, these high-carbon emission links are optimized using data-driven optimization algorithms (such as linear programming, genetic algorithms, and simulated annealing algorithms), and effective carbon emission reduction strategies are proposed. In the building material stage, carbon emissions are reduced by replacing high-carbon emission materials and introducing renewable materials; in the construction stage, carbon emissions are reduced by optimizing the construction process and improving energy efficiency. Finally, these strategies are generated through model verification and data simulation, and combined with the actual situation of the building to form a specific full life cycle carbon emission strategy.

[0082] Step S4: Use the full life cycle carbon emission strategy to evaluate the carbon emissions of real-time carbon emission data and generate full life cycle assessment data; based on the full life cycle assessment data, perform low-carbon building design on the full life cycle carbon emission three-dimensional dynamic model, thereby completing the full life cycle low-carbon building design task.

[0083] In the embodiment of the present invention, the real-time carbon emission data is evaluated using the full life cycle carbon emission strategy, and the data processing technology used includes difference analysis based on historical data and real-time data. By comparing the matching degree of the full life cycle carbon emission strategy with the current carbon emission data, the carbon emissions in the current building design and construction process are evaluated. This process uses multi-dimensional data fusion technology to integrate time series data, building material data, construction process data, and emission data to ensure the comprehensiveness and accuracy of the evaluation results. The three-dimensional dynamic model of full life cycle carbon emissions is adjusted and optimized based on the full life cycle evaluation data. In this stage, dynamic simulation technology is used to simulate the changes in carbon emissions under different design schemes through parameter adjustment. This simulation process relies on efficient numerical calculation algorithms, such as finite element analysis (FEA) and numerical iteration methods, which can accurately calculate the impact of each design change on carbon emissions. Through multiple rounds of simulation and optimization iteration, the final low-carbon building design scheme is generated. This design scheme not only meets the current carbon emission standards, but also can foresee future carbon emission trends and achieve low-carbon goals throughout the life cycle.

[0084] Preferably, step S1 comprises the following steps:

[0085] Step S11: Acquire building material data;

[0086] Step S12: using the hash method to detect duplicate data of the building material data and perform deletion processing to generate building material cleansing data;

[0087] Step S13: performing data standardization processing on the building material cleaning data to generate building material standardized data;

[0088] Step S14: labeling the standardized building material data to generate building material processing data.

[0089] In the embodiment of the present invention, by establishing a connection with a building material database, relevant building material data is obtained. This data comes from multiple heterogeneous data sources and contains multiple formats and standards. In order to unify these data, they must first be imported into a unified database structure to ensure the consistency of the data format, which lays the foundation for subsequent processing. The hash method is used to detect and delete duplicate data for building material data. As an efficient duplicate data detection technology, the hash method can map the data into a string of fixed length by calculating the hash value of each data, and then compare these hash values ​​to quickly identify duplicate data items. This method can not only improve the speed of data cleaning, but also ensure the accuracy and reliability of large-scale data processing. The detection and deletion of duplicate data is an important part of data cleaning. By deleting redundant data, the volume of the data set is effectively reduced, and the impact of data redundancy on subsequent analysis is avoided. The cleaned building material data is standardized. Data standardization is to convert data of different dimensions into the same standard range so that the data is comparable. Specifically, the standardization process uses technical means such as mean normalization and minimum-maximum normalization. This process is crucial to ensure the comparability of different building material data, especially when using data fusion and further analysis. Standardization can eliminate the deviation caused by different data magnitudes and ensure the accuracy of the analysis results. Finally, the standardized building material data is annotated. In this link, data annotation technology generates building material processing data with clear semantic information by associating each data item with its corresponding material attribute label.

[0090] As an example of the present invention, refer to Figure 2 As shown, in this example, step S2 includes:

[0091] Step S21: Obtaining a three-dimensional building map and construction process data;

[0092] Step S22: performing material type analysis on the building material processing data to generate material type result data; performing material carbon emission coefficient calculation on the material type result data to generate material carbon emission data;

[0093] Step S23: construct a three-dimensional diagram of the building dynamic process using the building three-dimensional diagram and the construction process data, assign material properties using the building material data, and assign carbon emissions using the material carbon emission data to generate a three-dimensional dynamic carbon emission model;

[0094] Step S24: Generate construction and operation carbon emission data for the three-dimensional dynamic carbon emission model to generate construction and operation carbon emission data; perform building demolition simulation on the three-dimensional dynamic carbon emission model to generate low-carbon building demolition simulation data; perform carbon emission detection on the low-carbon building demolition simulation data to generate low-carbon building demolition carbon emission data; dynamically fuse the construction and operation carbon emission data with the low-carbon building demolition carbon emission data to generate a full low-carbon building life cycle carbon emission data set; perform a full life cycle carbon emission analysis on the three-dimensional dynamic carbon emission model based on the full low-carbon building life cycle carbon emission data set to generate full life cycle carbon emission analysis data; perform dynamic model generation on the full life cycle carbon emission analysis data to generate a three-dimensional dynamic model of full life cycle carbon emissions.

[0095] In an embodiment of the present invention, a three-dimensional building diagram and construction process data are obtained. This step effectively integrates the geometric information of the building structure with the operation steps in the construction process by calling the three-dimensional model file generated by the architectural design software and combining the detailed record of the construction process. These data provide a basis for subsequent dynamic process modeling, so that the distribution and use of each building material in the three-dimensional space can be accurately located. Material type analysis is performed on the building material processing data. The analysis process classifies the material data according to its physical and chemical properties through classification algorithms and clustering techniques to generate material type result data. This result data lays the foundation for further carbon emission coefficient calculation. By calling a pre-set carbon emission coefficient database, the carbon emission coefficient is calculated for different types of materials to generate material carbon emission data. This step directly associates the type of material with its carbon emissions, providing a quantitative basis for subsequent carbon emission analysis. A three-dimensional building dynamic process diagram is constructed using the three-dimensional building diagram and the construction process data. The three-dimensional building diagram is integrated with the construction process data through geometric modeling technology to generate a dynamic building model containing a time dimension. The material type result data is used to assign material properties to the three-dimensional diagram of the building dynamic process. This process realizes the visualization of material properties in three-dimensional space by mapping the material property data to each part of the building model. The material carbon emission data is assigned to the model so that the dynamic changes of the carbon emissions of each piece of material during the life cycle of the building can be reflected, thus generating a three-dimensional dynamic carbon emission model.

[0096] Preferably, step S23 includes the following steps:

[0097] Step S231: Perform architectural hierarchical analysis on the three-dimensional building image to generate architectural hierarchical analysis data; establish a time-space axis on the construction process data to generate architectural space rectangular coordinate data;

[0098] Step S232: Perform analytical hierarchical mapping based on the building space rectangular coordinate data and the building analytical hierarchical data to generate a three-dimensional model main frame; dynamically associate the building material data with the material type of the three-dimensional model main frame to generate a dynamic material three-dimensional model; use the material carbon emission data to assign carbon emissions to the dynamic material three-dimensional model to generate a three-dimensional carbon emission model;

[0099] Step S233: Perform carbon emission spatial distribution analysis on the three-dimensional carbon emission model to generate carbon emission spatial distribution data; use the carbon emission spatial distribution data to write carbon emission cumulative integral data into the three-dimensional carbon emission model to generate a three-dimensional dynamic carbon emission model.

[0100] In the embodiment of the present invention, the building three-dimensional image is subjected to building hierarchical analysis to generate building analytical hierarchical data. This step decomposes the complex building three-dimensional image into different building hierarchies through geometric analysis technology, and extracts the spatial position and morphological characteristics of each structural unit. By establishing the time-space axis of the construction process data, the building space rectangular coordinate data is generated. This process uses the time information of the construction process, combined with the spatial position of each part of the building, and through the conversion and establishment of the coordinate system, the time dimension is associated with the spatial coordinate system, which lays the foundation for subsequent data mapping and model construction. Based on the building space rectangular coordinate data and the building analytical hierarchical data, analytical hierarchical mapping is performed to generate the main framework of the three-dimensional model. Through the data mapping technology, the building analytical hierarchical data and the spatial rectangular coordinate data are integrated to establish the main structural framework of the three-dimensional model. This framework accurately reflects the spatial relationship between the various levels of the building and provides a data basis for the dynamic association of material data. On this basis, the building material data is dynamically associated with the main framework of the three-dimensional model to generate a dynamic material three-dimensional model. This dynamic association process enables the distribution of each material type in the entire life cycle of the building to be intuitively reflected by real-time correspondence between the material type and the specific position in the building space. Next, the carbon emission data of materials is used to assign carbon emission to the dynamic material three-dimensional model to generate a three-dimensional carbon emission model. This process associates the carbon emission data of various materials with their positions in three-dimensional space, so that the model not only has spatial geometric information, but also can reflect the carbon emissions generated by the materials during use, providing detailed data support for subsequent carbon emission analysis. The three-dimensional carbon emission model is analyzed for carbon emission spatial distribution to generate carbon emission spatial distribution data. By performing spatial statistics and analysis on carbon emissions at different positions in the three-dimensional model, a spatial distribution map of carbon emissions is generated, which intuitively reflects the carbon emissions of each building part. Subsequently, the carbon emission spatial distribution data is used to write the carbon emission cumulative integral data to the three-dimensional carbon emission model to generate a three-dimensional dynamic carbon emission model. This cumulative integral process accumulates and calculates carbon emissions layer by layer, integrates the carbon emission contributions of each layer, and finally generates a dynamic three-dimensional carbon emission model that can change over time and space.

[0101] As an example of the present invention, refer to Figure 3 As shown, in this example, step S3 includes:

[0102] Step S31: Generate a carbon emission report for the full life cycle carbon emission three-dimensional dynamic model to generate a full life cycle carbon emission report, wherein the full life cycle carbon emission report includes a building material carbon emission report, a construction process carbon emission report and a building demolition carbon emission report;

[0103] Step S32: Analyze the carbon emission impact factors of the full life cycle carbon emission report to generate carbon emission impact factors; perform carbon emission quantitative assessment on the carbon emission contribution data to generate full life cycle building carbon emission assessment data;

[0104] Step S33: Generate a carbon emission reduction strategy based on the full life cycle building carbon emission assessment data to generate a full life cycle carbon emission strategy.

[0105] In an embodiment of the present invention, a carbon emission report is generated for a three-dimensional dynamic model of carbon emissions throughout the life cycle. This process uses data extraction and aggregation technology to extract carbon emission data from the three-dimensional dynamic model for stages such as building materials, construction processes, and building demolition, and organizes these data into three independent reports, namely, a building material carbon emission report, a construction process carbon emission report, and a building demolition carbon emission report. These reports record in detail the carbon emissions and their sources at each stage, providing a complete description of the carbon emission status of the building throughout its life cycle. In this process, data extraction and classification are completed by filtering and screening based on the spatial and temporal dimensions of the model, ensuring that the carbon emission data contained in the report has high accuracy and high relevance. The generated full life cycle carbon emission report is analyzed for carbon emission influencing factors. Through multivariate analysis methods, various types of carbon emission data in the report are deconstructed and classified to identify the key factors that have the greatest impact on carbon emissions during the entire life cycle of the building. These factors include material selection, construction technology, waste disposal, and other factors. In order to further quantify the impact of these factors, the data analysis process uses statistical analysis and regression modeling techniques to generate carbon emission influencing factor data. These factor data not only reveal the main sources of carbon emissions at each stage, but also provide direction for subsequent carbon emission optimization. On this basis, the carbon emission contribution data is quantitatively evaluated, and the carbon emission assessment data of the whole life cycle building is generated by calculating the contribution of each factor. This assessment process relies on data-driven quantitative analysis methods, which comprehensively considers the carbon emission contributions of materials, processes and operations, thereby generating highly accurate carbon emission assessment results. The carbon emission assessment data of the whole life cycle building is further processed to generate carbon emission reduction strategies. This strategy generation process is based on the aforementioned assessment data, and through optimization algorithms and scenario analysis techniques, specific carbon emission reduction plans are proposed. These plans include but are not limited to measures in terms of material substitution, construction process improvement, and waste management optimization.

[0106] Preferably, step S31 includes the following steps:

[0107] Step S311: Generate a carbon emission report for the full life cycle carbon emission three-dimensional dynamic model to generate a full life cycle carbon emission report, wherein the full life cycle carbon emission report includes a building material carbon emission report, a construction process carbon emission report and a building demolition carbon emission report;

[0108] Step S312: Use life cycle assessment technology to perform material life cycle assessment on material carbon emission data and construction process data to generate material life cycle assessment data; use a preset carbon emission coefficient to perform carbon emission summary calculation on the material life cycle assessment data to generate a building material carbon emission report;

[0109] Step S313: trace the energy consumption of the construction process data to generate the construction process energy consumption data; perform carbon emission analysis on the construction process energy consumption data to generate the construction process carbon emission data; perform phased emission summary processing on the construction process carbon emission data to generate a construction process carbon emission report;

[0110] Step S314: simulate the building demolition data of the three-dimensional dynamic model of carbon emissions throughout the life cycle to generate low-carbon building demolition waste data; perform carbon emission reduction analysis on the low-carbon building demolition waste data to generate carbon emission reduction data; perform carbon emission cumulative integration on the low-carbon building demolition waste data and carbon emission reduction data to generate a building demolition carbon emission report.

[0111] In the embodiment of the present invention, the generation of the carbon emission report of the three-dimensional dynamic model of carbon emission in the whole life cycle is realized by complex data integration and processing. By extracting and classifying the data of building materials, construction process and building demolition, the information is organized into three reports using data aggregation technology: building material carbon emission report, construction process carbon emission report and building demolition carbon emission report. This process relies on the three-dimensional spatial data analysis of the model and the construction of the spatiotemporal coordinate system, so that the carbon emissions of each stage can be accurately recorded and classified, thereby forming a detailed carbon emission report. These reports not only reflect the carbon emissions of each stage, but also provide basic data for subsequent carbon emission analysis and optimization. The technical means are further deepened, and the material carbon emission data and construction process data are evaluated for the material life cycle through the life cycle assessment (LCA) technology. The core of this step is to conduct a comprehensive life cycle assessment of carbon emissions in building materials and construction processes to quantify the total carbon emissions in these links. Using the preset carbon emission coefficient, these assessment data are further processed, and finally a building material carbon emission report is generated. In this process, the carbon emission coefficient is set based on a large amount of historical data and industry standards, and is obtained through multivariate regression analysis and machine learning algorithms. This process makes the carbon emission calculation more accurate. Based on these evaluation data, the carbon emissions are summarized and calculated. This calculation process combines time series analysis and cumulative integration technology to ensure that the calculation of carbon emissions from building materials is highly accurate. The energy consumption traceability of construction process data is achieved through traceability analysis technology. Traceability analysis technology traces the energy consumption of each step in the construction process, and generates construction process energy consumption data through the evaluation of energy conversion and utilization efficiency. These data are converted into carbon emissions through carbon emission factors, and are summarized and processed in stages to form a construction process carbon emission report.

[0112] Preferably, step S32 includes the following steps:

[0113] Step S321: Analyze the carbon emission influencing factors of the full life cycle carbon emission report to generate carbon emission influencing factors, where the carbon emission influencing factors include material type factors, construction process factors, energy use factors and waste recycling factors;

[0114] Step S322: using the construction process factor as the X coordinate, the energy use factor as the Y coordinate, and the waste recycling factor as the Z coordinate to perform three-dimensional space coordinate mapping, and using the material type factor to assign material attributes to generate three-dimensional space influencing factor data;

[0115] Step S323: Perform layered contribution analysis on the three-dimensional spatial influencing factor data to generate carbon emission contribution data; perform carbon emission quantitative assessment on the carbon emission contribution data to generate full life cycle building carbon emission assessment data.

[0116] In the embodiment of the present invention, the carbon emission influencing factors of the full life cycle carbon emission report are analyzed to identify and quantify the key factors affecting the carbon emission of buildings. Through the factor analysis method, the multidimensional data in the carbon emission report is deconstructed and classified, and key influencing factors such as material type factor, construction process factor, energy use factor and waste recycling factor are extracted. These factors are extracted by using statistical methods such as principal component analysis (PCA) and factor analysis (FA), and several core factors with the greatest impact on carbon emissions are identified through dimensionality reduction and factor rotation of large data sets. This process ensures that the various influencing dimensions of carbon emissions can be accurately quantified and separated, making subsequent analysis more targeted and scientific. The technical means further maps these carbon emission influencing factors into a three-dimensional spatial coordinate system so as to perform intuitive spatial analysis of the interaction between different factors. Specifically, the construction process factor, energy use factor and waste recycling factor are mapped to the X, Y, and Z coordinate axes respectively, and the material type factor is assigned to the spatial model as the attribute of the influencing factor. This process uses three-dimensional spatial data modeling technology to project multidimensional data into a spatial coordinate system to achieve visual analysis of the complex interaction between factors. This mapping process relies on data processing techniques such as multidimensional scaling (MDS) and multivariate regression to ensure that the relationship between factors can be presented in the best way, thereby generating three-dimensional spatial influencing factor data. These data can reflect the distribution characteristics and interactions of each factor in three-dimensional space, providing a basis for further contribution analysis. The hierarchical contribution analysis of the three-dimensional spatial influencing factor data aims to evaluate the specific contribution of different factors to the total carbon emissions. Through statistical methods such as hierarchical regression and hierarchical cluster analysis, the influencing factor data in three-dimensional space are hierarchically processed to quantify the contribution of each level of factors to carbon emissions. The contribution data is generated by comprehensively evaluating the weights and interaction effects of the influencing factors. This process not only considers the direct impact of a single factor, but also the interaction effects between factors. Subsequently, the carbon emission contribution data is quantitatively evaluated, and the carbon emission contribution of each factor is accurately calculated through the cumulative distribution function (CDF) and cumulative integration technology.

[0117] Preferably, step S33 includes the following steps:

[0118] Step S331: Acquire real-time carbon emission data and a material database; use a preset carbon emission evaluation standard to predict the causes of carbon emissions on the real-time carbon emission data, and generate real-time carbon emission prediction data results, where the real-time carbon emission data results include excessive material emissions, excessive construction process emissions, and excessive waste emissions; generate a carbon emission reduction strategy for the full life cycle building carbon emission assessment data to obtain a full life cycle carbon emission strategy, where the full life cycle carbon emission strategy includes a material optimization strategy, a construction process improvement strategy, and a waste recycling strategy;

[0119] Step S332: When the real-time carbon emission prediction data result is that the material emission is too high, the carbon emission contribution data is screened for high carbon emissions to generate high carbon material data; the high carbon materials are selected for substitution using the material database to generate high carbon material substitution data; the three-dimensional dynamic carbon emission model is simulated for carbon emissions based on the high carbon material substitution data to generate a material optimization strategy;

[0120] Step S333: When the real-time carbon emission prediction data result shows that the construction process emission is too high, high carbon emission processes are identified based on the construction process energy consumption data to generate high carbon emission process data; energy efficiency evaluation technology is used to optimize the high carbon emission process data path to generate a construction process improvement strategy;

[0121] Step S334: When the real-time carbon emission prediction data result is that the waste emission is too high, the carbon emission reduction data is traced back to different recycling channels for analysis to generate a waste carbon emission channel data set; the waste carbon emission channel data is processed by carbon emission points to generate waste carbon emission points data; the waste carbon emission points data is sorted by carbon emissions to generate a waste recycling strategy.

[0122] In the embodiment of the present invention, after obtaining the real-time carbon emission data and the material database, the real-time carbon emission data is analyzed and predicted by using the preset carbon emission evaluation criteria, the supervised learning algorithm and the rule-based classification technology. The core of this process is to extract and classify the carbon emission data, predict according to different emission causes (such as material emissions, construction process emissions, and waste emissions), and generate real-time carbon emission prediction data results. Subsequently, based on the full life cycle building carbon emission assessment data, the corresponding carbon emission reduction strategy is generated through cluster analysis and multivariate regression model, specifically including material optimization strategy, construction process improvement strategy and waste recycling strategy. This process not only provides quantitative assessment results of carbon emissions, but also provides a scientific basis for the formulation of carbon emission reduction strategies through data mining and model optimization. When the real-time carbon emission prediction data results show that the material emissions are too high, the technical means focus on the identification and replacement of high carbon emission materials. First, the carbon emission contribution data is screened for high carbon emissions, and factor screening and threshold filtering techniques are used to extract material data with high contribution to carbon emissions. Then, these high-carbon materials are analyzed for substitution through alternative selection algorithms (such as heuristic algorithms and linear programming) in the material database to generate high-carbon material replacement data. Based on these data, the three-dimensional dynamic carbon emission model is simulated and evaluated for carbon emissions, and the impact of alternatives on overall carbon emissions is predicted using numerical simulation and scenario analysis techniques, and finally an optimized material use strategy is generated. This process ensures that carbon emissions are effectively reduced by replacing high-carbon materials while meeting the building function and quality. For the situation where the construction process emissions are too high, an optimization strategy for the process path is adopted. By analyzing the energy consumption data of the construction process, high-carbon emission processes are identified, and energy efficiency evaluation technology and data envelopment analysis (DEA) are used to measure the energy consumption performance of different process paths, and these process paths are optimized through path optimization algorithms (such as dynamic programming and Bellman equation). Finally, a construction process improvement strategy is generated to maximize energy efficiency and minimize carbon emissions. This process not only improves the energy utilization efficiency of the construction process, but also effectively reduces carbon emissions during the construction process through path optimization. To deal with the situation where waste emissions are too high, technical means focus on the management of carbon emissions in waste recycling channels. Through the carbon emission reduction data, the traceability analysis of different recycling channels is carried out to generate a waste carbon emission channel data set, and the recycling chain analysis and traceability tracking algorithm are used to finely manage the waste recycling path. Subsequently, these channel data are processed with carbon emission points, and the carbon emissions of different recycling channels are calculated using point accumulation and segmented integration technology. Finally, the integral data is sorted and optimized to generate a waste recycling strategy.

[0123] As an example of the present invention, refer to Figure 4 As shown, in this example, step S4 includes:

[0124] Step S41: Performing strategy matching analysis on real-time carbon emission data based on the full life cycle carbon emission strategy to generate carbon emission strategy fitness data;

[0125] Step S42: performing carbon emission trend prediction on the carbon emission strategy adaptation data to generate carbon emission prediction data;

[0126] Step S43: Perform carbon emission assessment on the carbon emission prediction data to generate full life cycle assessment data; perform low-carbon building design on the full life cycle carbon emission three-dimensional dynamic model based on the full life cycle assessment data, thereby completing the full life cycle low-carbon building design task.

[0127] In an embodiment of the present invention, the whole life cycle carbon emission strategy is matched and analyzed with the real-time carbon emission data. This process uses a strategy matching algorithm and an optimization algorithm to analyze and compare the real-time carbon emission data by establishing a strategy matching model (such as a linear programming model and a heuristic algorithm). Specifically, the core of this step is to match the preset carbon emission strategy (covering aspects such as material optimization, construction process improvement, and waste recycling) with the actual acquired real-time carbon emission data to generate carbon emission strategy fitness data. These data show the degree of adaptation of different carbon emission strategies in practical applications, thereby providing a basic basis for subsequent strategy adjustment and optimization. The carbon emission strategy fitness data is further used for carbon emission trend prediction. This process uses time series analysis and predictive modeling techniques, and uses methods such as autoregressive integrated moving average model (ARIMA), long short-term memory network (LSTM) and regression analysis to perform time series prediction on the strategy fitness data. Through these prediction models, carbon emission prediction data are generated to reveal the changing trend of carbon emissions in the future. These prediction data provide a scientific estimate of future carbon emissions and lay a data foundation for the formulation of further carbon emission control measures. Based on the carbon emission forecast data, carbon emission assessment is carried out to generate full life cycle assessment data. Using comprehensive analysis and evaluation of the forecast data, the life cycle assessment (LCA) method and the life cycle cost analysis (LCCA) technology are used to systematically evaluate carbon emissions. By constructing a carbon emission assessment model, the carbon emissions at each stage are summarized and analyzed to generate full life cycle assessment data. These data not only include the carbon emissions at each stage, but also comprehensively evaluate the carbon emissions during the entire life cycle of the building, thus providing detailed reference data for low-carbon building design. Finally, based on the full life cycle assessment data, the three-dimensional dynamic model of the full life cycle carbon emission is used for low-carbon building design. This process dynamically models and adjusts the full life cycle assessment data, and uses three-dimensional modeling technology to simulate and optimize the carbon emissions of the building in real time. By adjusting the three-dimensional dynamic carbon emission model, each link in the building design (including material selection, construction technology and operation management, etc.) is optimized to achieve effective control of carbon emissions. This optimized design not only takes into account the actual use of the building, but also ensures that the carbon emissions of the building reach the lowest level throughout its life cycle through simulation and prediction technology, thereby completing the full life cycle low-carbon building design operation.

[0128] Preferably, step S43 includes the following steps:

[0129] Step S431: performing carbon emission assessment on the carbon emission forecast data to generate full life cycle assessment data;

[0130] Step S432: dynamically adjusting the design parameters of the three-dimensional dynamic model of carbon emissions throughout the life cycle according to the full life cycle assessment data, and generating design adjustment solution data;

[0131] Step S433: Perform multi-scenario simulation analysis on the full life cycle carbon emission report based on the design adjustment scheme data to generate full life cycle building scenario adaptability data;

[0132] Step S434: Based on the full-life building scenario adaptability data, a low-carbon building design is performed on the full-life cycle carbon emission three-dimensional dynamic model, thereby completing the full-life cycle low-carbon building design task.

[0133] In an embodiment of the present invention, carbon emission prediction data is evaluated for carbon emission to generate full life cycle evaluation data. This process uses life cycle assessment (LCA) technology to comprehensively evaluate the overall carbon emissions of a construction project by analyzing carbon emission data in each stage (including procurement of building materials, construction, operation and demolition). Specifically, the evaluation method includes data collection and collation, application of carbon emission factors and life cycle impact analysis. The full life cycle evaluation data generated using these data provides basic data for subsequent model adjustment and optimization. The design parameters of the three-dimensional dynamic model of carbon emissions in the full life cycle are dynamically adjusted according to the full life cycle evaluation data to generate design adjustment scheme data. This process provides technical means for adjusting and optimizing model parameters. By inputting the full life cycle evaluation data into the model adjustment algorithm (such as optimization algorithm and parameter adjustment technology), the design parameters of the three-dimensional dynamic model are dynamically adjusted. These adjustments include replacement of building materials, improvement of construction technology and optimization of the operation stage, thereby generating design adjustment scheme data suitable for the full life cycle. This process ensures that the model can reflect the latest evaluation data, thereby improving the accuracy and applicability of the design. Based on the design adjustment scheme data, a multi-scenario simulation analysis is performed on the full life cycle carbon emission report to generate full life building scenario adaptability data. Specifically, this step constructs multiple scenarios and simulates and analyzes the carbon emissions in each scenario. Create different scenario models (such as different material usage plans, construction processes and operation modes), and then perform simulation operations. Through scenario simulation, identify the carbon emissions in each scenario, and generate full-life building scenario adaptability data, which reveal the carbon emission adaptability and effect of different design schemes. Based on the full-life building scenario adaptability data, a low-carbon building design is performed on the three-dimensional dynamic model of carbon emissions throughout the life cycle, thereby completing the full-life cycle low-carbon building design operation. In this stage, the scene adaptability data is used to perform the final low-carbon design optimization on the three-dimensional dynamic model. Specific technical means include combining the scene adaptability data with the model design parameters, and generating the final low-carbon building design plan through further optimization algorithms and design adjustment techniques.

[0134] The beneficial effect of the present invention is that by acquiring and processing building material data, the integrity and accuracy of the data are ensured, and reliable basic data is provided for subsequent carbon emission calculations. By integrating the building three-dimensional map and the construction process data, combining the building material data and the material carbon emission coefficient, a three-dimensional dynamic model reflecting the carbon emissions of the building throughout its life cycle is generated. The model not only accurately assigns the properties of the material, but also combines the actual construction process, thereby ensuring the temporal and spatial consistency of the carbon emission data. By dynamically analyzing and generating models of carbon emissions throughout the life cycle, the real-time and accuracy of the model are ensured, laying a data foundation for the subsequent formulation of carbon emission strategies. Real-time carbon emission data is obtained, and the data is used to generate a full life cycle carbon emission report and corresponding reduction strategies. This process realizes real-time monitoring and feedback of carbon emissions, so that the carbon emission strategy can be dynamically adjusted to cope with the ever-changing building environment and energy usage. Through the evaluation of real-time carbon emission data and the low-carbon design of the three-dimensional dynamic model of carbon emissions throughout the life cycle, the comprehensive optimization of the building design is achieved. This not only ensures that the carbon emissions of the building are minimized during use, but also effectively predicts and controls the future carbon emission trends. Through this series of steps, the technical solution successfully transforms the building's carbon emission management from static to dynamic throughout its life cycle, and can respond to changes in the building environment and energy use in real time, significantly improving the efficiency of carbon emission management during building design and construction. Therefore, by constructing a three-dimensional dynamic model of carbon emissions throughout the life cycle, the present invention solves the problem that static models in traditional building carbon emission assessments are difficult to adapt to dynamic environmental changes, and improves the accuracy and real-time performance of building carbon emission management throughout its life cycle.

[0135] Therefore, the embodiments should be regarded as illustrative and non-restrictive from all points, and the scope of the present invention is limited by the appended claims rather than the above description, and it is therefore intended that all changes falling within the meaning and range of equivalent elements of the application documents are included in the present invention.

[0136] The above description is only a specific embodiment of the present invention, so that those skilled in the art can understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but should conform to the widest scope consistent with the principles and novel features invented herein.

Claims

1. A low-carbon building design method based on the entire life cycle, characterized in that: The following steps are involved: Step S1: Obtain building material data; Preprocessing the building material data to generate building material processing data; Step S2: Obtaining a three-dimensional building map and construction process data; Calculate the material carbon emission coefficient for building material processing data to generate material carbon emission data; use the building three-dimensional map and construction process data to build a three-dimensional map of the building dynamic process, use the building material data to assign material properties, and use the material carbon emission data to assign carbon emissions to generate a three-dimensional dynamic carbon emission model; perform a full life cycle carbon emission analysis on the three-dimensional dynamic carbon emission model to generate full life cycle carbon emission analysis data; perform dynamic model generation on the full life cycle carbon emission analysis data to generate a three-dimensional dynamic model of full life cycle carbon emissions; Step S3: Acquire real-time carbon emission data; generate a carbon emission report for the three-dimensional dynamic model of carbon emission throughout the life cycle, and generate a carbon emission report for the entire life cycle; generate a carbon emission reduction strategy for the carbon emission report throughout the life cycle, and generate a carbon emission strategy for the entire life cycle; Step S4: Use the full life cycle carbon emission strategy to evaluate the carbon emissions of the real-time carbon emission data and generate full life cycle evaluation data; Based on the full life cycle assessment data, low-carbon building design is carried out on the three-dimensional dynamic model of carbon emissions throughout the life cycle, thereby completing the full life cycle low-carbon building design task.

2. The low-carbon building design method based on the whole life cycle according to claim 1 is characterized in that: Step S1 includes the following steps: Step S11: Acquire building material data; Step S12: using the hash method to detect duplicate data of the building material data and perform deletion processing to generate building material cleansing data; Step S13: performing data standardization processing on the building material cleaning data to generate building material standardized data; Step S14: labeling the standardized building material data to generate building material processing data.

3. The low-carbon building design method based on the whole life cycle according to claim 1 is characterized in that: Step S2 includes the following steps: Step S21: Obtaining a three-dimensional building map and construction process data; Step S22: performing material type analysis on the building material processing data to generate material type result data; performing material carbon emission coefficient calculation on the material type result data to generate material carbon emission data; Step S23: construct a three-dimensional diagram of the building dynamic process using the building three-dimensional diagram and the construction process data, assign material properties using the building material data, and assign carbon emissions using the material carbon emission data to generate a three-dimensional dynamic carbon emission model; Step S24: Generate construction and operation carbon emission data for the three-dimensional dynamic carbon emission model to generate construction and operation carbon emission data; perform building demolition simulation on the three-dimensional dynamic carbon emission model to generate low-carbon building demolition simulation data; perform carbon emission detection on the low-carbon building demolition simulation data to generate low-carbon building demolition carbon emission data; dynamically fuse the construction and operation carbon emission data with the low-carbon building demolition carbon emission data to generate a full low-carbon building life cycle carbon emission data set; perform a full life cycle carbon emission analysis on the three-dimensional dynamic carbon emission model based on the full low-carbon building life cycle carbon emission data set to generate full life cycle carbon emission analysis data; perform dynamic model generation on the full life cycle carbon emission analysis data to generate a three-dimensional dynamic model of full life cycle carbon emissions.

4. The low-carbon building design method based on the whole life cycle according to claim 3 is characterized in that: Step S23 includes the following steps: Step S231: Perform architectural hierarchical analysis on the three-dimensional building image to generate architectural hierarchical analysis data; establish a time-space axis on the construction process data to generate architectural space rectangular coordinate data; Step S232: Perform analytical hierarchical mapping based on the building space rectangular coordinate data and the building analytical hierarchical data to generate a three-dimensional model main frame; dynamically associate the building material data with the material type of the three-dimensional model main frame to generate a dynamic material three-dimensional model; use the material carbon emission data to assign carbon emissions to the dynamic material three-dimensional model to generate a three-dimensional carbon emission model; Step S233: Perform carbon emission spatial distribution analysis on the three-dimensional carbon emission model to generate carbon emission spatial distribution data; use the carbon emission spatial distribution data to write carbon emission cumulative integral data into the three-dimensional carbon emission model to generate a three-dimensional dynamic carbon emission model.

5. The low-carbon building design method based on the whole life cycle according to claim 1 is characterized in that: Step S3 includes the following steps: Step S31: Generate a carbon emission report for the full life cycle carbon emission three-dimensional dynamic model to generate a full life cycle carbon emission report, wherein the full life cycle carbon emission report includes a building material carbon emission report, a construction process carbon emission report and a building demolition carbon emission report; Step S32: Analyze the carbon emission impact factors of the full life cycle carbon emission report to generate carbon emission impact factors; perform carbon emission quantitative assessment on the carbon emission contribution data to generate full life cycle building carbon emission assessment data; Step S33: Generate a carbon emission reduction strategy based on the full life cycle building carbon emission assessment data to generate a full life cycle carbon emission strategy.

6. The low-carbon building design method based on the whole life cycle according to claim 5 is characterized in that: Step S31 includes the following steps: Step S311: Generate a carbon emission report for the full life cycle carbon emission three-dimensional dynamic model to generate a full life cycle carbon emission report, wherein the full life cycle carbon emission report includes a building material carbon emission report, a construction process carbon emission report and a building demolition carbon emission report; Step S312: Use life cycle assessment technology to perform material life cycle assessment on material carbon emission data and construction process data to generate material life cycle assessment data; use a preset carbon emission coefficient to perform carbon emission summary calculation on the material life cycle assessment data to generate a building material carbon emission report; Step S313: trace the energy consumption of the construction process data to generate the construction process energy consumption data; perform carbon emission analysis on the construction process energy consumption data to generate the construction process carbon emission data; perform phased emission summary processing on the construction process carbon emission data to generate a construction process carbon emission report; Step S314: simulate the building demolition data of the three-dimensional dynamic model of carbon emissions throughout the life cycle to generate low-carbon building demolition waste data; perform carbon emission reduction analysis on the low-carbon building demolition waste data to generate carbon emission reduction data; perform carbon emission cumulative integration on the low-carbon building demolition waste data and carbon emission reduction data to generate a building demolition carbon emission report.

7. The low-carbon building design method based on the whole life cycle according to claim 5 is characterized in that: Step S32 includes the following steps: Step S321: Analyze the carbon emission influencing factors of the full life cycle carbon emission report to generate carbon emission influencing factors, where the carbon emission influencing factors include material type factors, construction process factors, energy use factors and waste recycling factors; Step S322: using the construction process factor as the X coordinate, the energy use factor as the Y coordinate, and the waste recycling factor as the Z coordinate to perform three-dimensional space coordinate mapping, and using the material type factor to assign material attributes to generate three-dimensional space influencing factor data; Step S323: Perform layered contribution analysis on the three-dimensional spatial influencing factor data to generate carbon emission contribution data; perform carbon emission quantitative assessment on the carbon emission contribution data to generate full life cycle building carbon emission assessment data.

8. The low-carbon building design method based on the entire life cycle according to claim 5 is characterized in that: Step S33 includes the following steps: Step S331: Acquire real-time carbon emission data and a material database; use a preset carbon emission evaluation standard to predict the causes of carbon emissions on the real-time carbon emission data, and generate real-time carbon emission prediction data results, where the real-time carbon emission data results include excessive material emissions, excessive construction process emissions, and excessive waste emissions; generate a carbon emission reduction strategy for the full life cycle building carbon emission assessment data to obtain a full life cycle carbon emission strategy, where the full life cycle carbon emission strategy includes a material optimization strategy, a construction process improvement strategy, and a waste recycling strategy; Step S332: When the real-time carbon emission prediction data result is that the material emission is too high, the carbon emission contribution data is screened for high carbon emissions to generate high carbon material data; the high carbon materials are selected for substitution using the material database to generate high carbon material substitution data; the three-dimensional dynamic carbon emission model is simulated for carbon emissions based on the high carbon material substitution data to generate a material optimization strategy; Step S333: When the real-time carbon emission prediction data result shows that the construction process emission is too high, high carbon emission processes are identified based on the construction process energy consumption data to generate high carbon emission process data; energy efficiency evaluation technology is used to optimize the high carbon emission process data path to generate a construction process improvement strategy; Step S334: When the real-time carbon emission prediction data result is that the waste emission is too high, the carbon emission reduction data is traced back to different recycling channels for analysis to generate a waste carbon emission channel data set; the waste carbon emission channel data is processed by carbon emission points to generate waste carbon emission points data; the waste carbon emission points data is sorted by carbon emissions to generate a waste recycling strategy.

9. The low-carbon building design method based on the whole life cycle according to claim 1 is characterized in that: Step S4 includes the following steps: Step S41: Performing strategy matching analysis on real-time carbon emission data based on the full life cycle carbon emission strategy to generate carbon emission strategy fitness data; Step S42: performing carbon emission trend prediction on the carbon emission strategy adaptation data to generate carbon emission prediction data; Step S43: Perform carbon emission assessment on the carbon emission prediction data to generate full life cycle assessment data; perform low-carbon building design on the full life cycle carbon emission three-dimensional dynamic model based on the full life cycle assessment data, thereby completing the full life cycle low-carbon building design task.

10. The low-carbon building design method based on the whole life cycle according to claim 9 is characterized in that: Step S43 includes the following steps: Step S431: performing carbon emission assessment on the carbon emission forecast data to generate full life cycle assessment data; Step S432: dynamically adjusting the design parameters of the three-dimensional dynamic model of carbon emissions throughout the life cycle according to the full life cycle assessment data, and generating design adjustment solution data; Step S433: Perform multi-scenario simulation analysis on the full life cycle carbon emission report based on the design adjustment scheme data to generate full life cycle building scenario adaptability data; Step S434: Based on the full-life building scenario adaptability data, a low-carbon building design is performed on the full-life cycle carbon emission three-dimensional dynamic model, thereby completing the full-life cycle low-carbon building design task.

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