A building full life cycle carbon emission calculation method and system based on BIM technology

Abstract

The application relates to the technical field of building carbon emission management, and particularly relates to a building full-life-cycle carbon emission calculation method and system based on BIM technology; the method comprises the following steps: collecting data of each stage and each type in the building full-life-cycle, storing multi-source data into a database associated with a BIM model, and establishing a data index; dividing and analyzing sub-regions, and respectively constructing an energy carbon emission factor library and a building material localized carbon emission factor library; according to the building full-life-cycle stage division, combining the multi-source data and the regionalized carbon emission factor library, dividing a cycle stage, and calculating stage carbon emission; analyzing carbon emission contribution of each cycle stage, generating emission reduction measures, and performing visual display; the system comprises the following modules: a multi-source data integration module, a regionalized carbon emission factor library construction module, a stage carbon emission calculation module, and an emission reduction measure generation module; through the above method, the accuracy of the calculation result in building full-life-cycle carbon emission calculation is improved.

Description

Technical Field

[0001] This invention relates to the field of building carbon emission management technology, and in particular to a method and system for calculating carbon emissions throughout the entire life cycle of a building based on BIM technology. Background Technology

[0002] Carbon emission calculations are applied throughout the entire building lifecycle, playing a crucial role from planning, design, construction, operation to demolition, and contributing to the low-carbon and sustainable development of buildings.

[0003] Currently, the factor library has limitations in carbon emission calculations: existing carbon emission factor libraries mostly use internationally accepted values ​​(such as IPCC default values) or national averages, without considering regional differences, which leads to inaccurate calculation results in the carbon emission calculation of the entire building life cycle. Summary of the Invention

[0004] The purpose of this invention is to provide a method and system for calculating carbon emissions throughout the building life cycle based on BIM technology. This invention aims to solve the technical problem that existing carbon emission factor libraries often use internationally accepted values ​​(such as IPCC default values) or national averages, without considering regional differences, which leads to inaccurate calculation results in calculating carbon emissions throughout the building life cycle.

[0005] To achieve the above objectives, this invention employs a building lifecycle carbon emission calculation method based on BIM technology, comprising the following steps:

[0006] Collect data from all stages and types of the building's entire lifecycle, integrate them to obtain multi-source data, and store the multi-source data in the database associated with the BIM model to establish a data index;

[0007] The analysis was divided into sub-regions, and separate energy carbon emission factor databases and building material localized carbon emission factor databases were constructed.

[0008] Based on the division of the building's entire life cycle stages, and combined with multi-source data and regional carbon emission factor databases, the cycle stages are divided, and the carbon emissions of each stage are calculated.

[0009] Analyze the carbon emission contributions of each cycle stage, generate emission reduction measures, and visualize them.

[0010] Among these steps are: collecting data from all stages and types of the building's entire lifecycle, integrating it into multi-source data, storing the multi-source data in a database associated with the BIM model, and establishing a data index;

[0011] Collect data throughout the entire building lifecycle, clean and preprocess the data, integrate the data throughout the entire building lifecycle, and obtain multi-source data;

[0012] Map multi-source data to BIM model attribute sets to establish a distributed database;

[0013] Create a data index to establish an index structure for the data stored in the database.

[0014] Among the steps involved are: collecting building lifecycle data, cleaning and preprocessing the data, integrating the building lifecycle data, and obtaining multi-source data;

[0015] During the planning phase, data on building site selection, surrounding environment, and planning and design indicators are collected; during the design phase, information on building design schemes, structural types, and building material selection is obtained; during the construction phase, data on construction progress, construction technology, equipment usage, and actual consumption of various building materials are recorded; during the operation phase, data on building energy consumption, equipment operation status, and indoor environmental parameters are collected; and during the demolition phase, data on demolition methods and waste disposal generated during the demolition process are recorded.

[0016] In the steps of dividing and analyzing sub-regions and constructing energy carbon emission factor libraries and building material localized carbon emission factor libraries respectively:

[0017] The area where the building is located is divided into multiple analysis sub-regions, and each analysis sub-region is assigned a unique identifier;

[0018] Collect carbon emission factor data for different energy types in each analysis sub-region and construct an energy carbon emission factor database;

[0019] For the building materials used in each analysis sub-region, carbon emission data throughout the entire life cycle of the building materials are collected to construct a localized carbon emission factor for building materials.

[0020] In the step of collecting carbon emission factor data for different energy types in each analysis sub-region and constructing an energy carbon emission factor database:

[0021] The carbon emission factor data is processed and verified. The processed and verified carbon emission factor data of different energy types in each analysis sub-region are stored and managed in a unified format and structure to build an energy carbon emission factor library.

[0022] Among the steps involved in collecting carbon emission data throughout the entire lifecycle of building materials used in each analysis sub-region and constructing a localized carbon emission factor for building materials:

[0023] The carbon emission data collected from each stage of the entire life cycle of building materials are organized and summarized, the total carbon emission factor of each building material in the entire life cycle is calculated, and the data is stored and managed in a unified format and structure to construct a localized carbon emission factor for building materials.

[0024] Among them, the steps of dividing the building into life cycle stages and calculating carbon emissions for each stage, based on multi-source data and regional carbon emission factor databases:

[0025] The entire life cycle of a building is divided into the planning stage, design stage, construction stage, operation stage, and demolition stage.

[0026] The system combines multi-source data with a regionalized carbon emission factor library to calculate stage carbon emissions and outputs stage carbon emission data.

[0027] Among the steps in dividing the entire life cycle of a building into the planning stage, design stage, construction stage, operation stage, and demolition stage:

[0028] Fill the periodic range between adjacent stages.

[0029] Among the steps involved in analyzing the carbon emission contributions of each cycle stage, generating emission reduction measures, and visualizing them:

[0030] The carbon emission data for each stage of the building's entire life cycle are statistically analyzed, and the proportion of carbon emissions in each stage to the total carbon emissions throughout the entire life cycle is calculated.

[0031] Based on the analysis results of carbon emission contributions in each cycle stage, corresponding emission reduction measures are formulated for the stages with high carbon emissions and key influencing factors.

[0032] The carbon emission data, carbon emission contribution analysis results, and emission reduction measures information of each stage of the building's entire life cycle will be displayed in a visual manner.

[0033] This invention also provides a building lifecycle carbon emission calculation system based on BIM technology, including a multi-source data integration module, a regional carbon emission factor library construction module, a phased carbon emission calculation module, and an emission reduction measure generation module; wherein:

[0034] The multi-source data integration module is used to collect data of various types and stages throughout the entire life cycle of a building, integrate the data to obtain multi-source data, store the multi-source data in the database associated with the BIM model, and establish a data index.

[0035] The regionalized carbon emission factor library construction module is used to divide and analyze sub-regions and construct energy carbon emission factor libraries and building material localized carbon emission factor libraries respectively.

[0036] The phased carbon emission calculation module is used to divide the building's life cycle into phases, combine multi-source data and regional carbon emission factor libraries, and calculate phased carbon emissions.

[0037] The emission reduction measures generation module is used to analyze the carbon emission contribution of each cycle stage, generate emission reduction measures, and visualize them.

[0038] This invention discloses a method and system for calculating carbon emissions throughout the entire life cycle of a building based on BIM technology. The method comprises the following steps: collecting data of various types and stages throughout the building's life cycle; integrating this data to obtain multi-source data; storing this multi-source data in a database associated with the BIM model; establishing a data index; dividing and analyzing sub-regions; constructing an energy carbon emission factor database and a localized building material carbon emission factor database; dividing the building's life cycle into stages, combining the multi-source data and the regionalized carbon emission factor database; calculating stage-specific carbon emissions; analyzing the carbon emission contribution of each stage, generating emission reduction measures, and visualizing these measures. Through these methods, the accuracy of the calculation results in calculating carbon emissions throughout the building's life cycle is improved. Attached Figure Description

[0039] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0040] Figure 1 This is a flowchart of the steps of the building life cycle carbon emission calculation method based on BIM technology of the present invention.

[0041] Figure 2 This is a flowchart of steps S100 of the present invention.

[0042] Figure 3 This is a flowchart of steps S200 of the present invention.

[0043] Figure 4 This is a flowchart of steps S300 of the present invention.

[0044] Figure 5 This is a flowchart of steps S400 of the present invention.

[0045] Figure 6 This is a structural schematic diagram of the building lifecycle carbon emission calculation system based on BIM technology of the present invention.

[0046] Figure 7 This is a schematic diagram of the electronic device of the present invention.

[0047] 501 - Multi-source data integration module; 502 - Regionalized carbon emission factor library construction module; 503 - Stage carbon emission calculation module; 504 - Emission reduction measure generation module. Detailed Implementation

[0048] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application.

[0049] The terminology used in this application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. The singular forms “a,” “the,” and “the” used in this application and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the term “and / or” as used herein refers to and includes any or all possible combinations of one or more of the associated listed items.

[0050] It should be understood that although the terms first, second, third, etc., may be used in this application to describe various information, such information should not be limited to these terms. These terms are only used to distinguish information of the same type from one another. For example, without departing from the scope of this application, first information may also be referred to as second information, and similarly, second information may also be referred to as first information. Depending on the context, the word "if" as used herein may be interpreted as "when," "when," or "in response to determination."

[0051] Please see Figures 1-5 This invention provides a method for calculating carbon emissions throughout the entire life cycle of a building based on BIM technology, comprising the following steps:

[0052] S100: Collect data from all stages and types of the building's entire life cycle, integrate the data to obtain multi-source data, and store the multi-source data in the database associated with the BIM model to establish a data index.

[0053] In this embodiment, data from all stages and types throughout the building's entire lifecycle are collected, integrated to obtain multi-source data, and stored in a database associated with the BIM model, establishing a data index. The specific process is as follows:

[0054] S101: Collect building lifecycle data, clean and preprocess the data, integrate the building lifecycle data, and obtain multi-source data;

[0055] S102: Map multi-source data to BIM model attribute sets to establish a distributed database;

[0056] S103: Create a data index to establish an index structure for the data stored in the database.

[0057] Furthermore, in the steps of collecting building lifecycle data, cleaning and preprocessing the data, integrating the building lifecycle data, and obtaining multi-source data:

[0058] During the planning phase, data on building site selection, surrounding environment, and planning and design indicators are collected; during the design phase, information on building design schemes, structural types, and building material selection is obtained; during the construction phase, data on construction progress, construction technology, equipment usage, and actual consumption of various building materials are recorded; during the operation phase, data on building energy consumption, equipment operation status, and indoor environmental parameters are collected; and during the demolition phase, data on demolition methods and waste disposal generated during the demolition process are recorded.

[0059] In the aforementioned process, data on building site selection, surrounding environment, and planning design indicators are collected during the planning phase; information on building design schemes, structural types, and building material selection is obtained during the design phase; during the construction phase, data on construction progress, construction techniques, equipment usage, and actual consumption of various building materials are recorded; during the operation phase, data on building energy consumption, equipment operating status, and indoor environmental parameters are collected; and during the demolition phase, data on demolition methods and waste disposal are recorded. The cleaned and pre-treated data from each stage of the building's entire lifecycle are integrated and organized and managed according to data type, source, and time, forming a multi-source dataset.

[0060] Analyzing the attribute set structure of a BIM model reveals that the attribute set is a detailed description of this information. For example, the attribute set of a wall component may include attributes such as wall thickness, height, length, material type, and thermal insulation performance.

[0061] Multi-source data is matched with the attribute set of the BIM model to determine the corresponding attribute item for each multi-source data item. For example, the actual wall thickness data recorded during the construction phase is mapped to the "thickness" attribute item of the wall component in the BIM model, and the indoor temperature data collected during the operation phase is mapped to the "indoor temperature" attribute item of the corresponding room in the BIM model. Through data mapping, the organic integration of multi-source data and the BIM model is achieved, enabling the BIM model to not only display the building's geometry and design information but also reflect various dynamic data during actual use.

[0062] Based on the data volume and access requirements, select a suitable distributed database management system, such as Hadoop HBase or MongoDB. Design the architecture of the distributed database, including data sharding strategies, node distribution, and data replication methods. For example, a range-based sharding strategy can be used to shard the entire building lifecycle data according to time range or building component type, storing different shards on different database nodes to improve data query efficiency and parallel processing capabilities.

[0063] The mapped multi-source data is stored in a distributed database, and data distribution and storage management are performed according to the designed architecture. Simultaneously, a data backup and recovery mechanism is established to ensure data security and reliability.

[0064] Index design involves analyzing data query requirements and determining the data fields that need to be indexed. Choosing the appropriate index type is crucial; common index types include B-tree indexes, hash indexes, and full-text indexes.

[0065] Index creation involves using the index creation commands or tools provided by the database management system to create an index for selected data fields.

[0066] Perform performance testing and optimization on the created indexes to ensure they effectively improve data query speed. This can be done by simulating different query scenarios to test the index's query efficiency and response time. Based on the test results, adjust and optimize the indexes, such as adjusting storage parameters, merging or splitting indexes, etc.

[0067] Through the above process description, the work of collecting data of various types and stages throughout the entire building life cycle, integrating multi-source data, storing multi-source data in the database associated with the BIM model, and establishing data indexes has been completed, providing a solid foundation for information management and decision-making throughout the building life cycle.

[0068] S200: Divide the analysis into sub-regions and construct energy carbon emission factor databases and building material localized carbon emission factor databases respectively.

[0069] In this embodiment, the analysis is divided into sub-regions, and energy carbon emission factor databases and building material localized carbon emission factor databases are constructed separately. The specific process is as follows:

[0070] S201: Divide the area where the building is located into multiple analysis sub-regions and assign a unique identifier to each analysis sub-region;

[0071] S202: Collect carbon emission factor data of different energy types in each analysis sub-region, process and verify the carbon emission factor data, and store and manage the processed and verified carbon emission factor data of different energy types in each analysis sub-region according to a unified format and structure to build an energy carbon emission factor library.

[0072] S203: For the building materials used in each analysis sub-region, collect carbon emission data throughout the entire life cycle of the building materials, organize and summarize the collected carbon emission data at each stage of the building material's life cycle, calculate the total carbon emission factor of each building material throughout its entire life cycle, store and manage it in a unified format and structure, and construct a localized carbon emission factor for building materials.

[0073] In the above process, sub-regions are divided for analysis, and the basis for region division is as follows:

[0074] Geographical characteristics, taking into account differences in topography, such as mountainous areas, plains, and coastal regions, can lead to variations in energy supply methods and building material transportation costs, thus affecting carbon emissions. For instance, mountainous areas may rely more on local small-scale hydropower or biomass energy, while coastal areas may have more convenient access to marine energy or the use of imported building materials.

[0075] Climate conditions and climate zones significantly impact building energy demands and the performance requirements of building materials. Buildings in cold regions require more heating energy and demand high-performance insulation materials; while in hot regions, the focus is on cooling and insulation. Therefore, dividing regions according to climate zones, temperature, humidity, and other climate parameters helps to accurately assess carbon emissions related to energy and building materials.

[0076] Administrative regions, defined by city, district, and county boundaries, facilitate access to relevant policies, statistical data, and coordination with local management departments. Differences in energy planning and building standards across different administrative regions can all impact carbon emission factors.

[0077] Functional zoning is based on the functional characteristics of the area where the building is located, such as commercial areas, residential areas, and industrial areas. Different functional zones have different building types, energy consumption patterns, and building material usage. For example, industrial areas may primarily consist of industrial buildings, and their energy consumption structure differs significantly from that of residential areas; the exterior facade and interior decoration materials of buildings in commercial areas may differ from those in residential areas, and their carbon emission characteristics also vary.

[0078] The partitioning method utilizes Geographic Information System (GIS) technology: GIS can integrate various geographic data, such as topographic maps, climate data, and administrative boundaries. Through spatial analysis and modeling functions, it automatically generates reasonable sub-regions for analysis according to preset partitioning criteria. This method improves the accuracy and efficiency of partitioning, while also facilitating the visual management and analysis of sub-regions.

[0079] Assign a unique identifier to each divided analysis sub-region. This identifier can be obtained using numerical encoding, a combination of letters and numbers, or other methods. The purpose of the unique identifier is to facilitate accurate identification and reference of each analysis sub-region during subsequent data collection, management, and analysis, thereby avoiding confusion and errors.

[0080] Energy type identification: Common energy types in the analysis sub-region include fossil fuels (such as coal, oil, and natural gas), renewable energy sources (such as solar, wind, hydro, and biomass energy), and electricity.

[0081] Data collection channels include:

[0082] Government departments, including energy management and environmental protection departments at all levels, regularly release energy-related statistics, including energy production, consumption, and carbon emissions. This data is authoritative and comprehensive, serving as an important source for building a database of energy carbon emission factors.

[0083] Enterprise data: Energy producers, power companies, and other entities accumulate a wealth of carbon emission data regarding energy production and supply during their actual operations. Partnering with these enterprises to acquire this data can more accurately reflect the actual situation of energy from production to consumption. For example, power companies can provide carbon emission factor data for different power generation methods (such as coal-fired power, hydropower, and wind power), as well as losses and carbon emissions during grid transmission.

[0084] Data Processing and Validation: The collected carbon emission factor data may have issues such as different sources and inconsistent statistical methods, requiring data processing and validation. First, the data needs to be organized and cleaned to remove duplicates, errors, or incomplete data. Then, data from different sources should be compared and analyzed to assess their reliability and consistency. For data with discrepancies, the reasons need to be further investigated, and corrections should be made based on the actual situation, or methods such as weighted averaging should be used.

[0085] Constructing an energy carbon emission factor database: This involves storing and managing processed and validated carbon emission factor data for different energy types within each analysis sub-region according to a unified format and structure, thus constructing an energy carbon emission factor database. The database can be built using a database management system (such as MySQL or Oracle), with appropriately configured fields and table structures to facilitate data querying, updating, and maintenance. For example, fields such as energy type, analysis sub-region identifier, carbon emission factor value, data source, and data update time can be included, creating a record for each energy type and sub-region combination to form a complete energy carbon emission factor database.

[0086] Building Material Identification: Based on the design and usage of buildings within each analysis sub-region, common building material types are identified, including structural materials (such as steel, concrete, and wood), enclosure materials (such as bricks, blocks, glass, and insulation materials), and decorative materials (such as paints, tiles, and flooring). Different building materials exhibit significant differences in carbon emissions throughout their entire life cycle; therefore, a comprehensive consideration of all building materials is necessary to ensure the completeness of the factor database.

[0087] The collection of carbon emission data throughout the entire life cycle of building materials includes stages such as raw material extraction, production and processing, transportation, construction and installation, use and maintenance, and demolition and recycling. Carbon emission data needs to be collected for each stage, as detailed below:

[0088] Raw material extraction stage: Understand the extraction methods, extraction volumes, energy consumption, and carbon emissions of the raw materials used in building materials. For example, steel production requires iron ore as a raw material, and the extraction of iron ore consumes a large amount of energy and generates certain carbon emissions; logging requires consideration of the impact of deforestation on the ecosystem and the energy used in the logging process.

[0089] Production and processing stage: Collect energy consumption data during the factory production of building materials, including the consumption of electricity, fuel, etc., as well as the direct and indirect carbon emissions generated during the production process. Different building materials have different production processes and energy utilization efficiencies, resulting in varying carbon emissions. For example, concrete production requires a large amount of cement, which is an energy-intensive process and generates high carbon emissions; while the production of new environmentally friendly building materials may employ more energy-efficient and low-carbon production processes, resulting in relatively lower carbon emissions.

[0090] Transportation Phase: This phase considers the transportation distance of building materials from the production site to the construction site, the mode of transportation (such as road, rail, and water transport), and the energy consumption and carbon emissions during transportation. The longer the transportation distance and the less environmentally friendly the mode of transportation, the higher the carbon emissions. For example, long-distance road transportation of building materials typically has higher carbon emissions than short-distance rail transportation; water transport has certain low-carbon advantages when transporting bulk building materials.

[0091] Construction and installation phase: Data on the installation of building materials on the construction site, energy consumption, and carbon emissions during construction are collected, including the use of construction machinery and the erection of temporary facilities. Different construction techniques and management levels also affect carbon emissions. For example, using prefabricated building construction technology can reduce on-site construction time and energy consumption, thereby reducing carbon emissions.

[0092] Use and maintenance phase: Consider the energy consumption and carbon emissions of building materials during use, such as the impact of the thermal insulation performance of building materials on building heating and cooling energy consumption, as well as the durability and maintenance costs of building materials. High-performance insulation materials can reduce building energy consumption, thereby reducing carbon emissions; while frequent maintenance and replacement of building materials will increase carbon emissions.

[0093] Demolition and Recycling Phase: Understanding the recycling rate of building materials after demolition and the carbon emissions during the recycling process. Recyclable building materials can reduce the mining and production of raw materials, thus lowering carbon emissions; however, improper handling during the recycling process may generate additional carbon emissions.

[0094] Data processing and integration involves organizing and summarizing the carbon emission data collected at each stage of the building material's entire life cycle. Following unified calculation methods and standards, the total carbon emission factor for each building material throughout its entire life cycle is calculated. Simultaneously, the data is classified and coded to facilitate subsequent management and use.

[0095] Constructing a localized carbon emission factor database for building materials: The calculated localized carbon emission factor data for different building materials within each analysis sub-region are stored and managed using a database management system, similar to the energy carbon emission factor database, thus constructing a localized carbon emission factor database for building materials. The database includes fields such as building material type, analysis sub-region identifier, full life-cycle carbon emission factor value, carbon emission data for each stage, data source, and data update time. Detailed records are established for each building material and sub-region combination, forming a complete localized carbon emission factor database for building materials, providing accurate data support for building carbon emission assessment.

[0096] By rationally dividing regions and constructing targeted factor libraries, a solid foundation is laid for the subsequent accurate assessment of building-related carbon emissions. By subdividing the regions where buildings are located, the differences in energy use and building materials across different regions can be more accurately considered. This allows for the construction of separate energy carbon emission factor libraries and localized building material carbon emission factor libraries to meet the needs of refined carbon emission analysis.

[0097] S300: Based on the building's entire life cycle stages, and combining multi-source data with a regional carbon emission factor library, the system divides the cycle into stages and calculates the carbon emissions of each stage.

[0098] In this embodiment, based on the building's entire life cycle stages and combining multi-source data with a regionalized carbon emission factor database, the life cycle is divided into stages, and the carbon emissions of each stage are calculated. The specific process is as follows:

[0099] S301: Divide the entire life cycle of a building into the planning stage, design stage, construction stage, operation stage, and demolition stage, and fill in the cycle range between adjacent stages;

[0100] S302: Combines multi-source data with a regionalized carbon emission factor library to calculate stage carbon emissions and outputs stage carbon emission data.

[0101] In the above process, based on the building life cycle stage division standard, the building life cycle is divided into planning, design, construction, operation, and demolition stages. Simultaneously, by combining actual time points and project progress information recorded in multi-source data, the period range between adjacent stages is further filled in to prevent gaps between adjacent stages and ensure the accuracy and rationality of the stage division.

[0102] Calculating stage carbon emissions by combining multi-source data with regionalized carbon emission factor libraries:

[0103] During the planning phase, based on information such as the building scale and design scheme, and combined with the energy carbon emission factor database and the localized building material carbon emission factor database, the carbon emissions that may be generated during the planning phase are estimated. The main considerations are the impact of factors such as land use changes and transportation planning caused by planning decisions on carbon emissions.

[0104] During the design phase, building model data is used to determine information such as the building's structural form and the amount of building materials used. Combined with a localized carbon emission factor database for building materials, carbon emissions during the production and transportation of the selected building materials are calculated. Simultaneously, based on the building's design energy consumption indicators and an energy carbon emission factor database, the expected energy consumption carbon emissions during the design phase are estimated.

[0105] During the construction phase, based on data such as the actual consumption of building materials and the usage time of construction equipment recorded during the construction phase, and combined with the localized carbon emission factor library for building materials and the carbon emission factor library for energy, carbon emissions from the production and transportation of building materials and carbon emissions from the energy consumption of construction equipment during the construction process are calculated separately. The total carbon emissions during the construction phase are obtained by adding the two together.

[0106] During the operation phase, based on real-time energy consumption data (such as electricity, gas, and water) collected during operation, and combined with an energy carbon emission factor database, the building's energy consumption carbon emissions during operation are calculated. Simultaneously, the impact of building equipment maintenance and replacement on carbon emissions is considered for a comprehensive calculation.

[0107] During the demolition phase, carbon emissions are calculated based on data such as the demolition method and waste disposal, combined with relevant carbon emission factors (such as carbon emission factors for energy consumption of demolition equipment and carbon emission factors for waste transportation and disposal).

[0108] S400: Analyzes carbon emission contributions at each cycle stage, generates emission reduction measures, and presents them visually.

[0109] In this implementation, the carbon emission contribution of each cycle stage is analyzed, emission reduction measures are generated, and the results are visualized. The specific process is as follows:

[0110] S401: Statistically analyze the carbon emission data of each stage of the building's entire life cycle, and calculate the proportion of carbon emissions in each stage to the total carbon emissions of the entire life cycle;

[0111] S402: Based on the analysis results of carbon emission contributions in each cycle stage, formulate corresponding emission reduction measures for the stages with high carbon emissions and key influencing factors;

[0112] S403: Display carbon emission data, carbon emission contribution analysis results, and emission reduction measures information at each stage of the building's entire life cycle in a visual manner.

[0113] In the above process, the carbon emission contribution analysis of each stage of the building's life cycle involves statistically analyzing the calculated carbon emission data for each stage, calculating the proportion of carbon emissions in each stage to the total carbon emissions over the entire life cycle, and clarifying the degree of contribution of each stage to the building's carbon emissions. By comparing carbon emission data from different stages, the stages with higher carbon emissions and key influencing factors are identified. For example, it is analyzed whether the higher carbon emissions during the construction stage are due to excessive use of building materials or unreasonable construction techniques, and whether the increased carbon emissions during the operation stage are due to excessive energy consumption or low equipment efficiency.

[0114] Emission reduction measures are generated based on the analysis of carbon emission contributions at each stage of the cycle, targeting stages with high carbon emissions and key influencing factors, and formulating corresponding emission reduction measures. For example, in the planning stage, optimizing building site selection and layout, improving land use efficiency, and reducing transportation carbon emissions; in the design stage, adopting energy-saving design concepts, optimizing building envelope performance, and selecting low-carbon building materials; in the construction stage, promoting green construction techniques, improving building material utilization, and reducing construction waste generation; in the operation stage, strengthening energy management, adopting energy-saving equipment and intelligent control systems, and improving energy utilization efficiency; and in the demolition stage, adopting environmentally friendly demolition methods to achieve resource utilization of waste, etc.

[0115] Visualization uses data visualization technology to present information such as carbon emission data, carbon emission contribution analysis results, and emission reduction measures at each stage of the building's entire life cycle in intuitive charts, graphs, animations, and other forms.

[0116] In this invention, data from all stages and types of the building's entire life cycle are first collected and integrated to obtain multi-source data. This multi-source data is then stored in a database associated with the BIM model, and a data index is established. Next, sub-regions are divided for analysis, and energy carbon emission factor libraries and localized carbon emission factor libraries for building materials are constructed respectively. Then, based on the division of the building's entire life cycle stages, and combining the multi-source data with the regionalized carbon emission factor libraries, periodic stages are divided, and stage carbon emissions are calculated. Finally, the carbon emission contribution of each periodic stage is analyzed, emission reduction measures are generated, and the results are visualized. Through the above methods, the accuracy of the calculation results in the calculation of carbon emissions throughout the building's entire life cycle is improved.

[0117] Corresponding to the aforementioned embodiments of the building life cycle carbon emission calculation method based on BIM technology, this application also provides embodiments of a building life cycle carbon emission calculation system based on BIM technology.

[0118] Figure 6 This is a block diagram illustrating a building lifecycle carbon emission calculation system based on BIM technology, according to an exemplary embodiment. (Refer to...) Figure 6 The system may include: a multi-source data integration module 501, a regionalized carbon emission factor library construction module 502, a phased carbon emission calculation module 503, and an emission reduction measure generation module 504; wherein:

[0119] The multi-source data integration module 501 is used to collect data of various types and stages throughout the entire life cycle of a building, integrate the data to obtain multi-source data, store the multi-source data in the database associated with the BIM model, and establish a data index.

[0120] The regionalized carbon emission factor library construction module 502 is used to divide and analyze sub-regions and construct energy carbon emission factor libraries and building material localized carbon emission factor libraries respectively.

[0121] The stage carbon emission calculation module 503 is used to divide the period into stages based on the building's full life cycle stages, and to calculate the stage carbon emissions by combining multi-source data and a regional carbon emission factor library.

[0122] The emission reduction measure generation module 504 is used to analyze the carbon emission contribution of each cycle stage, generate emission reduction measures, and display them visually.

[0123] In this embodiment, the multi-source data integration module 501 collects data of various types and stages throughout the building's entire life cycle, integrates it to obtain multi-source data, and stores the multi-source data in a database associated with the BIM model, establishing a data index; the regionalized carbon emission factor library construction module 502 divides and analyzes sub-regions, constructing an energy carbon emission factor library and a localized building material carbon emission factor library respectively; the stage carbon emission calculation module 503, based on the building's entire life cycle stages and combining the multi-source data and the regionalized carbon emission factor library, divides the cycle stages and calculates the stage carbon emissions; the emission reduction measure generation module 504 analyzes the carbon emission contribution of each cycle stage, generates emission reduction measures, and displays them visually; through the above methods, the accuracy of the calculation results in the building's entire life cycle carbon emission calculation is improved.

[0124] Regarding the system in the above embodiments, the specific ways in which each module performs operations have been described in detail in the embodiments related to the method, and will not be elaborated here.

[0125] For the system embodiments, since they basically correspond to the method embodiments, the relevant parts can be referred to in the description of the method embodiments. The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this application according to actual needs. Those skilled in the art can understand and implement this without creative effort.

[0126] Accordingly, this application also provides an electronic device, comprising: one or more processors; a memory for storing one or more programs; and, when the one or more programs are executed by the one or more processors, causing the one or more processors to implement the building lifecycle carbon emission calculation method based on BIM technology as described above. Figure 7 The diagram shown is a hardware structure diagram of any device with data processing capabilities within a BIM-based building lifecycle carbon emission calculation system provided in an embodiment of the present invention, except for... Figure 7 In addition to the processor, memory, and network interface shown, any data processing device in the embodiment may also include other hardware depending on the actual function of the data processing device, which will not be described in detail here.

[0127] Accordingly, this application also provides a computer-readable storage medium storing computer instructions, which, when executed by a processor, implement the building lifecycle carbon emission calculation method based on BIM technology as described above. The computer-readable storage medium can be an internal storage unit of any data processing device as described in any of the foregoing embodiments, such as a hard disk or memory. The computer-readable storage medium can also be an external storage device, such as a plug-in hard disk, smart media card (SMC), SD card, flash card, etc., equipped on the device. Furthermore, the computer-readable storage medium can include both internal storage units of any data processing device and external storage devices. The computer-readable storage medium is used to store the computer program and other programs and data required by the data processing device, and can also be used to temporarily store data that has been output or will be output.

[0128] Other embodiments of this application will readily occur to those skilled in the art upon consideration of the specification and practice of the disclosure herein. This application is intended to cover any variations, uses, or adaptations of this application that follow the general principles of this application and include common knowledge or customary techniques in the art not disclosed herein.

[0129] It should be understood that this application is not limited to the precise structure described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope.

Claims

1. A method for calculating carbon emissions throughout the entire life cycle of a building based on BIM technology, characterized in that, Includes the following steps: Collect data from all stages and types of the building's entire lifecycle, integrate them to obtain multi-source data, and store the multi-source data in the database associated with the BIM model to establish a data index; The analysis was divided into sub-regions, and separate energy carbon emission factor databases and building material localized carbon emission factor databases were constructed. The specific process is as follows: The area where the building is located is divided into multiple analysis sub-regions, and each analysis sub-region is assigned a unique identifier; Collect carbon emission factor data for different energy types in each analysis sub-region and construct an energy carbon emission factor database; The carbon emission factor data is processed and verified. The processed and verified carbon emission factor data of different energy types in each analysis sub-region are stored and managed in a unified format and structure to build an energy carbon emission factor library. For the building materials used in each analysis sub-region, carbon emission data throughout the entire life cycle of the building materials is collected to construct localized carbon emission factors for building materials; the collected carbon emission data at each stage of the entire life cycle of the building materials are sorted and summarized, the total carbon emission factor of each building material in the entire life cycle is calculated, and the data is stored and managed in a unified format and structure to construct localized carbon emission factors for building materials. Based on the division of the building's entire life cycle stages, and combined with multi-source data and regional carbon emission factor databases, the cycle stages are divided, and the carbon emissions of each stage are calculated. Analyze the carbon emission contributions of each cycle stage, generate emission reduction measures, and visualize them.

2. The method for calculating building lifecycle carbon emissions based on BIM technology as described in claim 1, characterized in that, In the process of collecting data from all stages and types throughout the building's entire lifecycle, integrating it into multi-source data, storing the multi-source data in a database associated with the BIM model, and establishing a data index: Collect data throughout the entire building lifecycle, clean and preprocess the data, integrate the data throughout the entire building lifecycle, and obtain multi-source data; Map multi-source data to BIM model attribute sets to establish a distributed database; Create a data index to establish an index structure for the data stored in the database.

3. The method for calculating building lifecycle carbon emissions based on BIM technology as described in claim 2, characterized in that, In the process of collecting building lifecycle data, cleaning and preprocessing the data, integrating the building lifecycle data, and obtaining multi-source data: During the planning stage of a building project, data on the building site, surrounding environment, and planning and design indicators are collected; during the design stage, information on the building design scheme, structural type, and building material selection is obtained. During the construction phase, data on construction progress, construction techniques, equipment usage, and actual consumption of various building materials are recorded. During the operation phase, data on building energy consumption, equipment operation status, and indoor environmental parameters are collected. During the demolition phase, data on demolition methods and waste disposal during the demolition process are recorded.

4. The method for calculating building lifecycle carbon emissions based on BIM technology as described in claim 1, characterized in that, In the process of dividing the building life cycle into stages, combining multi-source data and regional carbon emission factor databases, and calculating the carbon emissions of each stage: The entire life cycle of a building is divided into the planning stage, design stage, construction stage, operation stage, and demolition stage. The system combines multi-source data with a regionalized carbon emission factor library to calculate stage carbon emissions and outputs stage carbon emission data.

5. The method for calculating building lifecycle carbon emissions based on BIM technology as described in claim 4, characterized in that, In the process of dividing the entire life cycle of a building into the planning stage, design stage, construction stage, operation stage, and demolition stage: Fill the periodic range between adjacent stages.

6. The method for calculating building lifecycle carbon emissions based on BIM technology as described in claim 1, characterized in that, In the steps of analyzing carbon emission contributions at each cycle stage, generating emission reduction measures, and visualizing them: The carbon emission data for each stage of the building's entire life cycle are statistically analyzed, and the proportion of carbon emissions in each stage to the total carbon emissions throughout the entire life cycle is calculated. Based on the analysis results of carbon emission contributions in each cycle stage, corresponding emission reduction measures are formulated for the stages with high carbon emissions and key influencing factors. The carbon emission data, carbon emission contribution analysis results, and emission reduction measures information of each stage of the building's entire life cycle will be displayed in a visual manner.

7. A building lifecycle carbon emission calculation system based on BIM technology, applied to the building lifecycle carbon emission calculation method based on BIM technology as described in claim 1, characterized in that, It includes a multi-source data integration module, a regional carbon emission factor database construction module, a phased carbon emission calculation module, and an emission reduction measure generation module; among which: The multi-source data integration module is used to collect data of various types and stages throughout the entire life cycle of a building, integrate the data to obtain multi-source data, store the multi-source data in the database associated with the BIM model, and establish a data index. The regionalized carbon emission factor library construction module is used to divide and analyze sub-regions and construct energy carbon emission factor libraries and building material localized carbon emission factor libraries respectively. The phased carbon emission calculation module is used to divide the building's life cycle into phases, combine multi-source data and regional carbon emission factor libraries, and calculate phased carbon emissions. The emission reduction measures generation module is used to analyze the carbon emission contribution of each cycle stage, generate emission reduction measures, and visualize them.

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