Engineering construction carbon emission refined calculation method

Abstract

The invention relates to a refined calculation method for engineering construction carbon emission. The method comprises the following steps: determining an engineering construction carbon emission calculation category, a calculation boundary and calculation time according to a carbon source attribute, a stage process, spatial distribution and a time sequence; acquiring engineering carbon emission activity level data in real time through an acquisition module; performing intelligent mapping on the data stream passing the verification and a hierarchical carbon emission factor library, wherein the data stream is real-time acquired engineering carbon emission activity level data; building process carbon emission activity level data and a carbon emission factor to obtain an engineering construction carbon emission calculation value; the construction carbon emission refined calculation method is innovatively provided through four-dimensional collaborative deconstruction of carbon source attributes, stage processes, spatial distribution and time sequences, and key elements such as engineering construction carbon emission calculation categories, calculation boundaries and calculation time are clarified.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of building data measurement, and particularly relates to an engineering construction carbon emission fine calculation method. BACKGROUND

[0002] The total carbon emission of the construction industry accounts for a significant proportion, and the emission reduction space is huge. With the continuous iteration and upgrading of the national building energy efficiency standard system and the increasingly strict standards, the focus of carbon emission reduction in the whole life cycle of buildings is gradually deepening. Among them, the emission reduction potential and the responsibility weight of the engineering construction stage will become increasingly prominent. How the emission reduction effect is, has a crucial lever effect on the reduction of the carbon footprint of the whole building life cycle, and is the core fulcrum for achieving the overall emission reduction target. However, the carbon emission calculation basis of the current engineering construction link is still weak, and its value as a precise emission reduction action guide has not been fully played. The depth and breadth of the actual application are both insufficient, mainly in the following three aspects:

[0003] Stage bias and scene adaptation deficiency: The existing carbon emission calculation methods mainly focus on the energy consumption and emission of the building operation and use stage, and lack sufficient adaptability to the complex and dynamic construction site scene of the construction stage, making it difficult to effectively capture the real emission characteristics of the construction process.

[0004] Coarse calculation method, fuzzy boundary and factor rigidity: The traditional calculation method is usually single-dimensional and coarse-grained, which is difficult to reflect the complexity of the construction activity; the accounting boundary is not clear, which may lead to omission or repeated calculation; more importantly, the current carbon emission factor generally presents static characteristics, and cannot dynamically reflect the actual emission intensity changes under different construction areas, different stage times and different process technology conditions, and the accuracy is questionable.

[0005] Low-efficiency data collection and poor quality: The acquisition of carbon emission activity level data such as material consumption, energy use and mechanical shift is highly dependent on manual recording and reporting, which not only has low efficiency and high cost, but also has high data error rate, poor timeliness and insufficient completeness due to subjective factors and site conditions, which seriously restricts the reliability of the calculation results and the decision support value. The above technical difficulties make it difficult for the current engineering construction carbon emission calculation to effectively support fine management and scientific emission reduction decision-making, and it is urgent to break through and innovate.

[0006] In view of the systematic defects of the traditional construction carbon emission calculation method, the application provides an engineering construction carbon emission fine calculation method, which provides core technical support for precise carbon calculation in the engineering construction stage, and helps to promote the intelligent and fine management paradigm transformation and upgrading of the green construction system. SUMMARY

[0007] In view of the deficiencies of the prior art, the technical problem to be solved by the present application is to provide an engineering construction carbon emission fine calculation method, which innovatively proposes a construction carbon emission fine calculation method through the four-dimensional coordination of carbon source attributes, stage process, spatial distribution and time sequence, and clearly defines key elements such as construction carbon emission calculation categories, calculation boundaries and calculation time.

[0008] To solve the above technical problems, the technical scheme adopted by the present application is as follows: an engineering construction carbon emission fine calculation method:

[0009] Determine the engineering construction carbon emission calculation categories, calculation boundaries and calculation time according to the carbon source attributes, stage process, spatial distribution and time sequence;

[0010] Collect engineering carbon emission activity level data in real time through the collection module;

[0011] Intelligently map the data stream that passes the verification to the hierarchical carbon emission factor library, and the data stream is the real-time collection of engineering carbon emission activity level data;

[0012] The construction process carbon emission activity level data and the carbon emission factor obtain the engineering construction carbon emission calculation value, which is mathematically represented as:

[0013]

[0014] In the formula, E is the carbon emission of the construction stage, E1 is the carbon emission of the building material, E2 is the carbon emission of the energy, and E3 is the carbon emission of the gas dispersion. t represents the time period, t0 and t n represent the start time and end time of the carbon emission calculation respectively; E 1t , E 2t and E 3t represent the carbon emissions of building materials, energy and gas dispersion in the t time period.

[0015] Further, the engineering construction carbon emission calculation value includes building material carbon emission calculation, energy carbon emission calculation and gas dispersion carbon emission calculation.

[0016] Further, the mathematical representation of the building material carbon emission calculation is:

[0017]

[0018] and represent the carbon emissions of ordinary building materials and prefabricated components in the t time period, and i represents the type of ordinary building materials or prefabricated components; E 1t，i represents the carbon emission amount of the i-th type of ordinary building materials or prefabricated components in the production and processing stage in the t time period, and f iLet m be the carbon emission factor of Class i ordinary building materials or prefabricated components during the production and processing stage. i D represents the consumption of ordinary building materials or precast components of type i. i v represents the transportation distance of Class i ordinary building materials or prefabricated components from the building material production site to the construction site. i The carbon emissions per unit transport volume and per unit transport distance for vehicles used to transport Class i materials or prefabricated components, where v0 is the basic emission factor for building material transportation.

[0019] Furthermore, the mathematical representation of energy-related carbon emissions calculations is as follows:

[0020]

[0021] z represents the spatial region for calculating carbon emissions; z1 and z n This indicates the starting and ending spatial regions for carbon emission calculations; and E represents the carbon emissions of traditional energy and clean renewable energy within the spatial region z during time period t, where k is the type of stationary source equipment and mobile source machinery using traditional or clean renewable energy; 2tz，k r represents the carbon emissions released by the k-th type of traditional energy machinery or new energy machinery during operation or on-site transportation within the z-region during time period t. k Let ρ be the number of shifts for the k-th type of traditional energy machinery or clean energy machinery. k e represents the fuel or electricity consumed per unit shift of conventional or clean energy machinery of type k. k Carbon emission factors of fuel or electricity consumed by conventional or clean energy machinery of category k.

[0022] Furthermore, the mathematical representation of carbon emissions from gaseous emissions is as follows:

[0023]

[0024] This represents the carbon emissions from gaseous emissions during the time interval t, where δ represents the type of emitted gas, and w tδ ρ represents the emissions of the δ-th type of greenhouse gas during the time period t. tδ This represents the global warming trend value of the δ-th type of greenhouse gas at the time scale t.

[0025] 6. The method for refined calculation of carbon emissions in engineering construction according to claim 1, characterized in that: the carbon source attributes adopt a three-level traceability architecture, which is divided according to the main category: building materials, energy consumption and gas emissions.

[0026] Furthermore, a carbon emission calculation boundary framework is formed by using phase processes and time series. The phase processes are divided into: building material production, building material transportation and on-site construction. The vertical axis of the carbon emission calculation boundary framework uses the phase processes as numerical points, and the horizontal axis uses the time series as numerical points.

[0027] Furthermore, during the data collection process for the carbon emission activity level of the project, an intelligent early warning module is set up. The intelligent early warning module is used to automatically mark abnormal data based on dynamic threshold criteria and trigger a secondary review process.

[0028] Furthermore, in terms of spatial distribution, the on-site construction phase is divided into primary functional carbon units: carbon emissions from office area management, carbon emissions from living area, carbon emissions from mechanical operations in construction area, and carbon emissions from exhibition area. The high-density construction area is further divided into multiple functional zones through secondary process deconstruction.

[0029] Furthermore, based on the calculated carbon emissions from the engineering construction, the SHAP algorithm is used to analyze the key drivers of carbon emissions. With the constraints of minimizing carbon emissions, ensuring the construction period, and controlling costs, a Pareto optimal solution set is generated through a genetic algorithm, and process parameter tuning values, resource scheduling optimization schemes, and low-carbon alternative schemes are automatically pushed.

[0030] Compared with the prior art, the present invention has the following beneficial effects:

[0031] 1. In order to solve the technical problems of traditional construction carbon emission calculation methods such as single-dimensional extensiveness and low accuracy, this invention innovatively proposes a "multi-dimensional refined construction carbon emission calculation method". Through the collaborative deconstruction of four dimensions, namely carbon source attributes, stage process, spatial distribution and time series, this invention innovatively proposes a refined construction carbon emission calculation method and clarifies key elements such as the calculation category, calculation boundary and calculation time of construction carbon emissions.

[0032] 2. To address the technical pain points of traditional carbon emission activity level data, which rely on manual collection leading to low efficiency and significant errors, this invention innovatively constructs an automatic carbon emission data collection module, an edge data processing module, and an intelligent early warning module to achieve real-time collection of carbon emission activity level data during the engineering construction process.

[0033] 3. To address the core pain point that traditional static carbon emission factor databases have poor adaptability and are unable to accurately reflect regional, temporal, and technological differences, thus leading to significantly amplified calculation errors, this invention innovatively proposes and constructs a multi-dimensional hierarchical carbon emission factor database. Attached Figure Description

[0034] Figure 1 This is an overall flowchart of the refined carbon emission calculation method for engineering construction according to the present invention;

[0035] Figure 2A block diagram of the various modules of the carbon emission fine calculation and analysis system for the present invention.

[0036] Figure 3 This is a stage-time carbon flow map in a specific embodiment of the present invention;

[0037] Figure 4 This is a flowchart illustrating the intelligent matching process for carbon emission factor classification in a specific embodiment of the present invention. Detailed Implementation

[0038] To make the above features and advantages of the present invention more apparent and understandable, specific embodiments are described below in conjunction with the accompanying drawings for detailed explanation.

[0039] like Figures 1-4 As shown, this embodiment provides a method for refined calculation of carbon emissions in engineering construction, including the following steps:

[0040] First, the calculation category, calculation boundary, and calculation time for carbon emissions from engineering projects are determined based on carbon source attributes, phase progression, spatial distribution, and time series.

[0041] Carbon source attribute dimension: A three-level traceability architecture is adopted, with the main categories divided into building materials (including the dual system of ordinary building materials / prefabricated components), energy consumption (the dual structure of traditional energy / new energy), and gas emission (various greenhouse gases such as CO2, CH4, and N2O).

[0042] Among them, ordinary building materials are further subdivided according to material category and material grade: steel bars (ordinary hot-rolled ribbed steel bars, high-strength earthquake-resistant steel bars), commercial concrete (different grades such as C30, C40, C50, etc.), structural steel (different strength grades such as Q355, Q460, Q690, etc.), as well as ordinary mortar, masonry materials and other major engineering materials; precast components are precisely defined as precast beams / columns / slabs / buildings and other prefabricated units; traditional energy covers fossil fuels such as diesel, gasoline, natural gas, liquefied petroleum gas, liquefied natural gas, fuel oil, kerosene, etc., as well as purchased electricity, heat, cooling and other energy sources; new energy mainly includes renewable and clean energy such as photovoltaic power generation, wind power generation, geothermal energy and other renewable energy sources; gaseous emissions include six greenhouse gas emissions: CO2 welding shielding gas, methane, nitrous oxide, hydrofluorocarbons, perfluorocarbons, sulfur hexafluoride and other six greenhouse gases.

[0043] This invention establishes a carbon emission calculation boundary framework by incorporating phased processes and time series: Breaking away from the limitations of the single-phase division in the GB / T51366—2019 standard, this invention uses a classification system based on carbon source attributes to vertically construct a three-tiered process of "building material production - building material transportation - on-site construction," and horizontally embeds a time series axis, forming a three-dimensional carbon emission calculation boundary framework. Taking a building construction project as an example, the construction phase can be decomposed into three time-period carbon flow maps: underground structure (foundation support / foundation pouring), above-ground structure (main frame / floor construction), and decoration and finishing (curtain wall installation / finishing works), enabling real-time dynamic carbon tracking throughout the construction cycle.

[0044] Spatial Distribution Dimension: First, the on-site construction phase is divided into primary functional carbon units: carbon emissions from office management, living quarters, mechanical operations, and exhibitions. For high-density construction areas, a secondary process deconstruction is implemented, further dividing them into micro-units such as processing areas (material cutting / prefabrication), tower crane areas (vertical transportation), elevator areas (personnel transport), and welding machine areas (welding operations). This achieves the construction of a full-scale spatial carbon flow map of construction carbon emissions from macro-functional areas to micro-process nodes, providing a spatial decision-making basis for the precise management of carbon emissions on construction sites.

[0045] Secondly, the project's carbon emission activity level data is collected in real time through a data acquisition module. Specifically, the composition of the carbon emission data acquisition module and edge data processing is clearly defined, and the carbon emission activity level data of the construction project is collected in real time by deploying a sensor network of construction units such as construction machinery, transportation vehicles, smart meters, and water meters. At the same time, an intelligent early warning module is set up, which automatically marks abnormal data using dynamic threshold criteria (such as equipment energy efficiency deviation from baseline ±15%), triggering a secondary review process (automatic verification → manual review).

[0046] The verified data stream is intelligently mapped to a tiered carbon emission factor library. The data stream is real-time collection of engineering carbon emission activity data. Specifically, a strict four-level priority matching strategy is implemented: Level 1: Loads the exclusive carbon factor of the product's carbon label certificate; Level 2: Adopts the carbon emission factor standard issued by the local / regional government where the project is located; Level 3: Refers to industry standards (such as the "Building Carbon Emission Calculation Standard" GB / T 51366); Level 4: Applicable national standards (such as the "General Rules for Integrated Energy Consumption Calculation" GB / T 2589). For new materials not found in the above four levels of factor libraries, a pioneering dynamic carbon factor calculation engine is developed: Based on the input-output method, a full life-cycle material balance model is constructed. By analyzing the carbon footprint data of core links such as raw material mining, energy consumption, and production processes, carbon factors compliant with ISO 14067 standards are automatically generated, achieving real-time accounting compatibility for emerging low-carbon materials.

[0047] The carbon emission activity level data and carbon emission factor obtained during the construction process are used to calculate the carbon emission amount of the engineering construction project, which is mathematically represented as follows:

[0048]

[0049] In the formula: E represents carbon emissions during the construction phase, E1 represents carbon emissions from building materials, E2 represents carbon emissions from energy sources, and E3 represents carbon emissions from gaseous emissions. t represents the time period, t0 and t... n These represent the start and end times for carbon emission calculations; E 1t E 2t and E 3t These represent the carbon emissions from building materials, energy, and gas emissions during the time period t.

[0050] The calculation of carbon emissions from engineering construction includes calculations of carbon emissions from building materials, carbon emissions from energy sources, and carbon emissions from gaseous emissions.

[0051] The mathematical representation of carbon emissions from building materials is as follows:

[0052]

[0053] and E represents the carbon emissions of ordinary building materials and prefabricated components during time period t, respectively, where i represents the type of ordinary building material or prefabricated component; 1t，i f represents the carbon emissions during the production and processing of the i-th type of ordinary building materials or prefabricated components within time period t. i Let m be the carbon emission factor of Class i ordinary building materials or prefabricated components during the production and processing stage. i Let Di be the consumption of Class i ordinary building materials or prefabricated components, Di be the transportation distance of Class i ordinary building materials or prefabricated components from the building material production site to the construction site, vi be the carbon emissions per unit transportation volume and per unit transportation distance of the vehicle used to transport Class i materials or prefabricated components, and v0 be the basic emission factor for building material transportation. The calculation framework is as follows: v i = v0 × α × β. v0 is the basic emission factor for building material transportation, which integrates the international GLEC framework and my country's "Method for Testing and Evaluating Fuel Consumption of Road Transport Vehicles" GB / T18566-2011; α is the vehicle type correction coefficient, which is assigned according to the vehicle emission standard classification in accordance with "ISO 14083:2023"; β is the road network topology correction factor, which is assigned according to the actual transportation route.

[0054] The mathematical representation of energy-related carbon emissions calculations is as follows:

[0055]

[0056] z represents the spatial region for calculating carbon emissions; z1 and z nThis indicates the starting and ending spatial regions for carbon emission calculations; and E represents the carbon emissions of traditional energy and clean renewable energy within the spatial region z during time period t, where k is the type of stationary source equipment and mobile source machinery using traditional or clean renewable energy; 2tz，k r represents the carbon emissions released by the k-th type of traditional energy machinery or new energy machinery during operation or on-site transportation within the z-region during time period t. k Let ρ be the number of shifts for the k-th type of traditional energy machinery or clean energy machinery. k e represents the fuel or electricity consumed per unit shift of conventional or clean energy machinery of type k. k This represents the carbon emission factor of fuel or electricity consumed by conventional or clean energy machinery of category k. Note that the carbon emission factor for clean energy is negative, indicating its carbon reduction.

[0057] The mathematical representation of carbon emissions from gaseous emissions is as follows:

[0058]

[0059] This represents the carbon emissions from gaseous emissions during the time interval t, where δ represents the type of emitted gas, and w tδ ρ represents the emissions of the δ-th type of greenhouse gas during the time period t. tδ This represents the global warming trend value of the δ-th type greenhouse gas at the time scale t, based on the IPCC Sixth Assessment Working Group III report, where the global warming trend value of CO2 = 1 (baseline value).

[0060] Based on the characteristics of carbon emissions from engineering construction, this invention integrates machine learning optimization and dynamic carbon emission budget management to achieve closed-loop management from carbon emission measurement to emission reduction strategy generation. Based on the calculated carbon emission values ​​from engineering construction, the SHAP algorithm is used to analyze the key driving factors of carbon emissions. With the constraints of minimizing carbon emissions, ensuring the construction period, and controlling costs, a Pareto optimal solution set is generated through a genetic algorithm, and process parameter tuning values, resource scheduling optimization schemes, and low-carbon alternative schemes are automatically pushed.

[0061] Application Example 1

[0062] Please see Figures 1-3 As shown, this invention relates to a refined method for calculating carbon emissions during engineering construction. In this embodiment, the carbon emission calculation stages and time boundaries of the engineering construction phase are divided. Taking building construction as an example, the construction phase adopts a Level II time sequence division. The precise start and end times of the Level I phase (building material production, building material transportation, on-site construction) and the Level II phase (underground structure, above-ground structure, decoration and finishing) are clearly defined.

[0063] Intelligent data collection during the building materials production stage: Through the linkage between the material supply chain platform and the data collection module (such as an intelligent weighbridge system), dynamic management of the types, specifications, and quantities of building materials entering the site is achieved. Building materials are divided into ordinary building materials and prefabricated components. Ordinary building materials are further subdivided according to material category and grade: steel bars (ordinary hot-rolled ribbed steel bars, high-strength earthquake-resistant steel bars), commercial concrete (different grades such as C30, C40, C50, etc.), structural steel (different strength grades such as Q355, Q460, Q690, etc.), as well as major engineering materials such as ordinary mortar and masonry materials; prefabricated components are precisely classified down to prefabricated beams / columns / slabs / staircases and other prefabricated assembly units.

[0064] Intelligent collection of building material transportation data: Based on the data collection module GIS system, the GPS trajectory of the transport vehicle is analyzed to obtain statistical data such as vehicle model and transportation distance in real time during the building material transportation stage.

[0065] Automatically verify and calculate carbon emissions from building material production and transportation: By intelligently alerting and marking abnormal data, a two-level review process of "automatic verification → manual review" is triggered; after verification, the optimal carbon emission factor for building materials is automatically matched and the total emissions are summarized during the production stage, while the emissions per ton-kilometer are accurately calculated based on the building material transport volume (tons) and distance (kilometers), combined with the transportation mode / load factor and the vehicle road condition correction coefficient, and finally the total carbon emissions from production and transportation are generated.

[0066] The system intelligently collects energy consumption and gas emission data during key construction phases, including underground structures, above-ground structures, and interior decoration. High-precision fuel and gas consumption flow meters and three-phase electricity metering modules are deployed to intelligently collect on-site construction energy and gas emission data. Energy consumption includes both traditional and new energy sources. Traditional energy sources cover fossil fuels such as diesel, gasoline, natural gas, liquefied petroleum gas, liquefied natural gas, fuel oil, and kerosene, as well as purchased electricity, heat, and cooling. New energy sources mainly include renewable and clean energy sources such as photovoltaic power generation, wind power generation, and geothermal energy. Gas emission data during construction primarily refers to emissions from welding operations (such as carbon dioxide shielded welding) or emissions from wastewater treatment projects.

[0067] The system automatically verifies and calculates carbon emissions during the on-site construction phase (key construction phases such as underground structure, above-ground structure, decoration and finishing): verified energy consumption and process gas emission data will be intelligently matched with the optimal carbon emission factor, and the total carbon emissions of the on-site construction phase will be obtained by multiplying each energy consumption by its carbon emission factor.

[0068] The calculation methods for carbon emissions from building materials, energy, and gaseous emissions are the same as those described above, and will not be repeated here.

[0069] Application Example 2

[0070] For special new materials used in construction projects that have not undergone carbon labeling certification and for which national / industry / local standards and specifications do not include such new materials, an innovative dynamic measurement technology engine for product carbon factors has been established.

[0071] A life-cycle material balance model is constructed based on the input-output method to define the functional units and system boundaries of building materials. The functional units are based on internationally accepted product certification units, such as tons (t) and cubic meters (m³). 3 The system boundary covers the entire process from raw material extraction to production (including energy consumption and process carbon emissions) to transportation and storage. To ensure the accuracy of the product carbon factor, n product samples (n≥3) are selected.

[0072] By accessing the carbon footprint data of the manufacturer in the core links of producing this new material, such as raw material mining, energy consumption, process carbon emissions, transportation and storage, including the collection of activity data and carbon emission factor data of building material products, the activity data refers to the energy and raw material consumption of the production unit, the transportation distance, and the greenhouse gas emissions during the production process. The carbon emission factor data refers to the carbon emission factors corresponding to the energy, raw materials, and greenhouse gases consumed.

[0073] After collecting data from each stage of n batches of building materials products, the activity data of each process unit are matched and calculated against the China Product Life Cycle Greenhouse Gas Carbon Emission Database, and then summed to obtain the carbon emissions of the building materials. The carbon emission calculation for building materials products is shown in the following formula:

[0074]

[0075] In the formula: C P Carbon emissions per unit of building materials product; m i f represents the consumption of the i-th type of raw material required per unit of building material production; i Let D be the carbon emission factor corresponding to the i-th raw material. i Let v be the transportation distance of the i-th raw material. i Let M be the carbon emission factor per unit weight distance for the i-th raw material transportation method; j F represents the consumption of the j-th type of energy required to produce one unit of building materials. j Let w be the carbon emission factor corresponding to the j-th energy source. k Let ρ be the emission of the kth type of greenhouse gas during the production of building materials per unit. i This represents the global warming potential of the l-th greenhouse gas.

[0076] Based on the carbon emissions of n building materials, the default value of the building materials carbon emission factor for this region is obtained by weighted averaging using Monte Carlo simulation, as shown in the following formula.

[0077]

[0078] in,

[0079] In the formula: F dv C represents the default value for the carbon emission factor of building materials in the study area. p，i This represents the carbon emission result of the i-th unit of building material product surveyed within the study area, where n is the number of building material products surveyed within the area; w i γ is the weighting coefficient for the i-th unit surveyed within the study area; γ and ε represent the production capacity share and data certification quality level of the surveyed product in the material supply area, respectively, and their values ​​are based on data provided by the surveyed enterprises; α is the correction coefficient, which mainly considers the impact of the survey sample size on the results, and its value is calculated in conjunction with the standard error (t-distribution) in statistics, as shown in Table 1.

[0080] Table 1. Relationship between sample size n and t value for surveyed building materials products.

[0081]

[0082]

[0083] Note: For t-values ​​of other sample sizes, please refer to the t-distribution table in statistics.

[0084] The foregoing has shown and described the basic principles and main features of the present invention, as well as its advantages. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of the present invention. Various changes and modifications can be made to the present invention without departing from its spirit and scope. All such changes and modifications fall within the scope of the present invention as claimed, which is defined by the appended claims and their equivalents.

Claims

1. A method for refined calculation of carbon emissions from engineering construction, characterized in that: The calculation categories, calculation boundaries, and calculation time for engineering carbon emissions are determined based on carbon source attributes, stage processes, spatial distribution, and time series. The data acquisition module collects real-time data on the carbon emission activity levels of the project. The verified data stream is intelligently mapped to the graded carbon emission factor library, and the data stream is real-time collection of engineering carbon emission activity level data. The carbon emission activity level data and carbon emission factor obtained during the construction process are used to calculate the carbon emission amount of the engineering construction project, which is mathematically represented as follows: In the formula: E represents carbon emissions during the construction phase, E1 represents carbon emissions from building materials, E2 represents carbon emissions from energy sources, and E3 represents carbon emissions from gaseous emissions. t represents the time period, t0 and t... n These represent the start and end times for carbon emission calculations; E 1t E 2t and E 3t These represent the carbon emissions from building materials, energy, and gas emissions during the time period t.

2. The method for refined calculation of carbon emissions in engineering construction according to claim 1, characterized in that: The calculation of carbon emissions from engineering construction includes calculations of carbon emissions from building materials, carbon emissions from energy sources, and carbon emissions from gaseous emissions.

3. The method for refined calculation of carbon emissions in engineering construction according to claim 2, characterized in that: The mathematical representation of carbon emissions from building materials is as follows: and E represents the carbon emissions of ordinary building materials and prefabricated components during time period t, respectively, where i represents the type of ordinary building material or prefabricated component; 1t，i f represents the carbon emissions during the production and processing of the i-th type of ordinary building materials or prefabricated components within time period t. i Let m be the carbon emission factor of Class i ordinary building materials or prefabricated components during the production and processing stage. i D represents the consumption of ordinary building materials or precast components of type i. i v represents the transportation distance of Class i ordinary building materials or prefabricated components from the building material production site to the construction site. i The carbon emissions per unit transport volume and per unit transport distance for vehicles used to transport Class i materials or prefabricated components, where v0 is the basic emission factor for building material transportation.

4. The method for refined calculation of carbon emissions in engineering construction according to claim 2, characterized in that: The mathematical representation of energy-related carbon emissions calculations is as follows: z represents the spatial region for calculating carbon emissions; z1 and z n This indicates the starting and ending spatial regions for carbon emission calculations; and E represents the carbon emissions of traditional energy and clean renewable energy within the spatial region z during time period t, where k is the type of stationary source equipment and mobile source machinery using traditional or clean renewable energy; 2tz，k r represents the carbon emissions released by the k-th type of traditional energy machinery or new energy machinery during operation or on-site transportation within the z-region during time period t. k Let ρ be the number of shifts for the k-th type of traditional energy machinery or clean energy machinery. k e represents the fuel or electricity consumed per unit shift of conventional or clean energy machinery of type k. k Carbon emission factors of fuel or electricity consumed by conventional or clean energy machinery of category k.

5. The method for refined calculation of carbon emissions in engineering construction according to claim 2, characterized in that: The mathematical representation of carbon emissions from gaseous emissions is as follows: This represents the carbon emissions from gaseous emissions during the time interval t, where δ represents the type of emitted gas, and w tδ ρ represents the emissions of the δ-th type of greenhouse gas during the time period t. tδ This represents the global warming trend value of the δ-th type of greenhouse gas at the time scale t.

6. The method for refined calculation of carbon emissions in engineering construction according to claim 1, characterized in that: The carbon source attributes adopt a three-level traceability architecture, which is divided according to the main category: building materials, energy consumption, and gas emissions.

7. The method for refined calculation of carbon emissions in engineering construction according to claim 1, characterized in that: A carbon emission calculation boundary framework is formed by using phase processes and time series. The phase processes are divided into: building material production, building material transportation and on-site construction. The vertical axis of the carbon emission calculation boundary framework uses the phase processes as numerical points, and the horizontal axis uses the time series as numerical points.

8. The method for refined calculation of carbon emissions in engineering construction according to claim 1, characterized in that: During the data collection process for engineering carbon emission activity levels, an intelligent early warning module is set up. This module is used to automatically mark abnormal data based on dynamic threshold criteria and trigger a secondary review process.

9. The method for refined calculation of carbon emissions in engineering construction according to claim 1, characterized in that: In terms of spatial distribution, the on-site construction phase is divided into primary functional carbon units: carbon emissions from office management, carbon emissions from living quarters, carbon emissions from mechanical operations in the construction area, and carbon emissions from exhibitions in the exhibition hall area. The high-density construction area is further divided into multiple functional zones through secondary process deconstruction.

10. The method for refined calculation of carbon emissions in engineering construction according to claim 1, characterized in that: Based on the calculated carbon emissions from the engineering construction, the SHAP algorithm is used to analyze the key drivers of carbon emissions. With the constraints of minimizing carbon emissions, ensuring the construction period, and controlling costs, a Pareto optimal solution set is generated through a genetic algorithm, and process parameter tuning values, resource scheduling optimization schemes, and low-carbon alternative schemes are automatically pushed.

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