Statistical accounting method for adaptive carbon emission footprint at construction stage

Abstract

The invention discloses a construction stage adaptive carbon emission footprint statistical accounting method, and particularly relates to the technical field of carbon emission accounting, and the method comprises the steps: S1, determining the carbon emission calculation of a construction stage, S2, determining the calculation boundary and range, S3, constructing a carbon emission calculation model based on a digital model, and S4, calculating the carbon emission footprint of the construction stage. The method includes the steps of S1, building construction, S2, building construction, S4, sub-division and sub-item engineering carbon emission and process carbon emission influence fluctuation ranges, S5, evaluating the carbon emission efficiency of a building in the construction process, and S6, comparing existing differences, analyzing the differences, and performing targeted control on stages, parts and processes with large carbon emission. According to the method, in boundary determination, time, geography and activity boundaries are determined for multiple times, the calculation range is precisely limited, energy consumption data of each process of a production area and a non-production area are efficiently calculated within specified time by taking sub-items and sub-segments as units, and the accounting efficiency is greatly improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of carbon emission accounting, and more particularly to a construction phase adaptive carbon emission footprint statistical accounting method. BACKGROUND

[0002] The present application relates to the technical field of carbon emission accounting, and more particularly to a construction phase adaptive carbon emission footprint statistical accounting method.

[0003] In the existing public literature, patent CN119904000A discloses a carbon footprint accounting method, device, equipment and storage medium for an electric drive system. The technology calculates the carbon footprint of each stage according to the data of each stage in the life cycle and the carbon emission factor. The carbon footprints of each stage are summarized to calculate the carbon footprint of the electric drive system. The application can accurately and objectively evaluate the carbon footprint of the electric drive system by collecting, selecting and distributing the data of each stage in the life cycle of the electric drive system assembly of the electric vehicle. However, the patent has the following defects.

[0004] The current carbon emission calculation and accounting standards are based on construction process energy consumption estimation method and carbon emission factor method, which standardize the composition, calculation boundary and calculation formula of carbon emission in the construction process. However, the construction phase has the characteristics of large material usage, multiple types of construction machinery and complex construction links. The carbon emission calculation in the construction process still faces the problems of difficult activity level data statistics and poor matching of carbon emission factor data, making it difficult to achieve efficient accounting. SUMMARY

[0005] In order to overcome the above-mentioned defects of the prior art, the present application provides a construction phase adaptive carbon emission footprint statistical accounting method.

[0006] To achieve the above-mentioned purpose, the present application provides the following technical scheme: a construction phase adaptive carbon emission footprint statistical accounting method, including the following specific steps:

[0007] S1. Clearly define the three boundaries of time, geography, and activities for carbon emission calculation during the construction phase 5-10 times. In terms of time, it should be from the entry of personnel, materials, and machinery into the construction site to the completion and delivery within 5-10 days. Geographically, it should be limited to the construction site and exclude carbon emissions from building material production and transportation. In terms of activities, it should be divided into sub-items and sub-sections, separating production and living, and physical and non-physical. Personnel, materials, and machinery should be calculated 10-30 times respectively. At the same time, carbon footprint capture should cover all processes, individual units, and the entire project on site for 5-10 minutes. Overall and block-specific carbon emission assessments should be conducted and controlled within 5-15 seconds, and calculated through cloud data processing.

[0008] S2. Based on the calculation boundaries and scope determined in step S1, collect energy consumption data for each process in the production area and non-production area, using sub-items and sub-sections as calculation units, and process them 5-15 times within 5-10 seconds.

[0009] S3. Construct a carbon emission calculation model based on a digital model 5-10 times, and store it in multi-level cloud computing 3-8 times;

[0010] S4. Based on the data collected during the construction process in step S2 (consumption of manpower, materials, and machinery) and the digital BIM calculation model in step S3, and with a time limit of 5-15 minutes, calculate the carbon emissions at the construction site during the building construction phase for 5-10 seconds. Obtain the carbon emissions of sub-sections and sub-items, and the fluctuation range of carbon emissions impact of the process is 0.5-1 times the base value. Obtain the real carbon emission data at the construction site, obtain the carbon emission footprint, and process the data in the cloud.

[0011] S5. Based on the carbon emission accounting results of step S4, use the SEEA method to evaluate the carbon emission efficiency of the building during the construction phase, control the efficiency to 10-25%, and perform cloud processing management 5-10 times.

[0012] S6. Compare the carbon emission accounting results after considering carbon reduction measures with the carbon emission level data in the standard 5-15 times and control it within 10-15 seconds. For stages, parts and processes with large carbon emissions, implement targeted control, and control time shall not exceed 15-25 seconds. Operate the carbon emission management platform.

[0013] In a preferred embodiment, in step S1, the data of each process and individual unit are summarized to achieve separate evaluation of the overall situation and the blocks. The calculation results are used to generate a visual report carbon emission inventory and block comparison map, which are simultaneously stored in the cloud database 5-10 times. The dynamic verification code can be used for subsequent traceability and dynamic adjustment within 10-15 seconds.

[0014] In a preferred embodiment, the carbon emission calculation model constructed in S3 based on a digital model includes carbon emission calculation during the construction preparation phase, calculation of carbon emissions from the machinery hours consumed by the sub-projects during the construction phase, calculation of carbon emissions from the machinery hours consumed by organizational measures, calculation of carbon emissions from the machinery hours consumed by technical measures, calculation of complementary energy provided by renewable energy utilization, calculation of offsetting carbon emissions, calculation of human-related carbon emissions during the construction phase, and calculation of the total carbon footprint of the construction site during the building construction phase.

[0015] Carbon emissions (P) during the preparation phase of the construction phase of the sub-projects sg The calculation is as follows:

[0016] C sg =C jy +C rx

[0017] Among them, C sg Indicates carbon emissions during the preparation phase of a sub-project; C iy This indicates the carbon emissions per shift of construction machinery during the preparation phase; C rx This indicates the carbon emissions from human consumption during the preparation phase:

[0018] The calculation of carbon emissions per machine shift for each sub-project is shown below:

[0019]

[0020] E jx,j =D jx,n ×E jx,n

[0021]

[0022] Where n is the number of sub-projects; i is the energy quantity; C is the construction machinery serial number; C jx E represents the carbon emissions per machine shift during the implementation phase of a sub-project; jx,i EF represents the amount of the i-th type of energy used in the construction of the sub-item project; i D represents the carbon emission factor of the i-th energy source; jx,n E represents the quantity of work for the nth sub-item; jx,n D represents the energy consumption coefficient of the nth sub-item; n,c M represents the consumption of the Cth type of small construction machinery shifts in the nth sub-item of the project; c S represents the energy consumption per shift of the Cth type of small construction machinery used in the nth sub-project; mc,n This represents the energy consumption of the nth type of small construction machinery in the sub-project:

[0023] The calculation of carbon emissions from the energy consumed by the organizational measures project is as follows:

[0024]

[0025] Where: n is the number of organizational measures items for the sub-project; i is the energy quantity; c is the construction machinery serial number; ZC is the organizational measures item code; C zc Indicates the carbon emissions per machine shift for organizational measures projects; O zc,i EF represents the total energy consumption of the i-th type in the organizational measures project; i Q represents the carbon emission factor of the i-th energy source; zc,n E represents the quantity of work for the nth sub-item of the project's organizational measures; zc,n表示 Energy consumption coefficient of the nth sub-item of the technical measures project; T n,c S represents the consumption of the C-type construction machinery shifts used in the nth sub-item of the project; Mc represents the energy consumption of the C-type construction machinery shifts used in the nth sub-item of the project; S mc,n This represents the energy consumption of the nth type of small construction machinery in the sub-item project:

[0026] The calculation of carbon emissions from energy consumption by the technical measures project is as follows:

[0027]

[0028] Where: n is the number of sub-item project organization measures; i is the energy quantity; c is the construction machinery serial number; JC is the technical measure project code; C jc Indicates the carbon emissions per machine shift for technical measures projects; O jc,i Total energy consumption of type i in the technical measures project; EF i Q represents the carbon emission factor of the i-th energy source; Jc,n E represents the quantity of the technical measures item of the nth sub-item of the project; jc,n T represents the energy consumption coefficient of the nth sub-item of the technical measures project; n,c S represents the consumption of the C-type construction machinery shifts used in the nth sub-item of the project; Mc represents the energy consumption of the C-type construction machinery shifts used in the nth sub-item of the project; S mc,n This represents the energy consumption of the nth type of small construction machinery in the sub-item project:

[0029] The calculation of offsetting carbon emissions by the complementary energy provided by renewable energy utilization is shown below:

[0030] Renewable energy utilization = solar power generation + solar water heating + wind power

[0031]

[0032] Where: C r This indicates the reduction in carbon emissions caused by renewable energy replacing electricity from the national grid; R pg This indicates the reduction in carbon emissions caused by photovoltaic panel power generation replacing electricity from the national grid; R sh This indicates the reduction in carbon emissions caused by solar water heaters replacing electricity from the national grid; R w This represents the reduction in carbon emissions caused by wind power replacing electricity from the national grid; R a This indicates the reduction in carbon emissions caused by air-source heat pumps replacing electricity from the national grid:

[0033] R pg =P pg ×EF d

[0034] P pg =PR×(1-CR)×H×A P

[0035] Where P pg Indicates the annual power generation of the photovoltaic panel; EF d The figure represents the national electricity carbon emission factor; PR represents the conversion efficiency of the photovoltaic panel system; CR represents the loss coefficient in the power generation process of the photovoltaic panel system; H represents the total annual solar radiation installed by the photovoltaic panels; A p This indicates the area of ​​photovoltaic panels installed at the construction site:

[0036] R sh =P sh ×EF d

[0037] P sh =[Ap×J I (1-HL)T jy ] / 3.6

[0038] Where P sh Indicates the annual power generation of the solar water heater; EF d Indicates the national electricity carbon emission factor; T jy HL represents the average heat collection efficiency per square meter of the solar water heater's collector tubes; J represents the loss coefficient of the water heater's piping and heat storage device. I A represents the total annual solar radiation received by the sun-receiving surface of a solar water heater; C This indicates the area of ​​the solar water heater collector tubes installed at the construction site:

[0039] R w =P W ×EF d

[0040] P w =0.5ρ×RD 2×WV×K

[0041] Where P W This indicates the annual power generation from wind power generation at the construction site; EF d Represents the national electricity carbon emission factor; ρ represents air density, RD 2 The calculation of daily carbon emissions by man is as follows: where WV represents the square of the wind turbine diameter, WV represents the wind speed, and K represents the wind energy utilization rate.

[0042] C rg =MD×EF rg

[0043] Where C rg This indicates the daily carbon emissions of human labor during the construction process; MD represents the number of human man-days; EF rg This represents artificial carbon emission factors.

[0044] In a preferred embodiment, the multi-level cloud computing storage in S3 can perform preliminary aggregation and calculation of block-level carbon emission data through regional nodes, while the core node is responsible for the integration and in-depth analysis of the overall project data, realizing the hierarchical processing of "block evaluation" and "overall evaluation", and controlling the efficiency of large-scale data computing at 5-10%.

[0045] In a preferred embodiment, the specific steps in S3 for calculating the total carbon emissions during the building construction phase (excluding carbon emissions from building material production and transportation) are as follows:

[0046]

[0047] C 总 =C d -C R

[0048] Where: C d Indicates the carbon emissions from the energy consumed by each sub-project during the construction phase; C jx Indicates the carbon emissions per machine shift during the implementation phase of a sub-project; C zc Indicates the carbon emissions per machine shift for organizational measures projects; C jc Indicates the carbon emissions per machine shift for organizational measures projects; C rg This indicates the daily carbon emissions generated by human labor during the construction process; M cq,j Indicates material consumption; EF c,j C represents the carbon emission factor of materials. 总 Indicates the total carbon emissions during the building construction phase; C r This indicates the reduction in carbon emissions caused by renewable energy replacing electricity from the national grid.

[0049] In a preferred embodiment, the system model in S3 is established based on sub-projects and sub-items, covering carbon emissions from various blocks such as labor, materials, machinery, and temporary facilities.

[0050] In a preferred embodiment, in addition to the calculation stage calculation, the carbon emissions in the S4 accounting stage also need to complete the following calculations:

[0051] Carbon emission accounting for construction waste and accounting for construction waste reuse in the organizational measures project:

[0052]

[0053]

[0054] Where: C lj This indicates the carbon emissions from waste removal during the construction phase; V lj D represents the amount of waste transported out of the i-th type during the construction phase of the project. lj EF represents the transport distance of the i-th type of waste in the construction phase sub-project; lj,i This represents the i-th type of waste carbon emission factor during the construction phase;

[0055] C zl This indicates that waste recycling during the construction phase reduces carbon emissions; R zl,i The amount of type i waste reused during the construction phase; EF lj，i This represents the carbon emission factor of the i-th type of waste during the construction phase;

[0056] Carbon emission accounting during the construction phase of temporary facilities in organizational measures projects:

[0057]

[0058] Among them, C ls E represents the carbon emission accounting value of temporary facilities during the construction phase. ls,i EF represents the energy consumption of the i-th type in temporary facilities during the construction phase; ls,i Indicates the carbon emission factor of the i-th energy source for temporary facilities:

[0059] Carbon emissions from the use of new fuels in the canteen of the temporary facility and carbon emissions from the emission of Freon from the air conditioning system of the temporary facility are calculated as follows:

[0060]

[0061] C kt =L fla ×1700

[0062] Among them, C XP This indicates the carbon emission accounting value of the temporary facility canteen using new fuels during the construction phase; Exr,i This represents the consumption of the i-th type of new fuel in the temporary canteen during the construction phase; EF i Represents the carbon emission factor for the i-th energy source:

[0063] C kt This indicates the carbon emission accounting value for temporary facilities using air conditioning during the construction phase; L fla Indicates the amount of Freon leakage in air conditioners; 100-year GWP potential value of refrigerant dichlorofluoromethane (DCFM) as stated in IPCC 6th Notification 1700:

[0064] Organizational measures project for vehicle carbon emission accounting used in daily office work

[0065]

[0066] Among them, C cl This indicates the carbon emission accounting value of vehicles used in daily office work; E ci,i EF represents the energy consumption of the office vehicle using the i-th energy source; i Represents the carbon emission factor for the i-th energy source:

[0067] Carbon emission accounting for on-site mixing processes used in concrete sub-projects:

[0068]

[0069] C xt This indicates the carbon emission calculation amount for concrete mixing at the construction site; EF t Indicates the carbon emission factor of concrete;

[0070] Carbon emission accounting for welding processes used at the construction site:

[0071]

[0072] C hj Indicates the carbon emissions from welding processes at the construction site; C qt,i C represents the storage capacity of the i-th gas in the gas storage device; kg,i This represents the carbon emissions per kg of the i-th gas when burned.

[0073] In a preferred embodiment, step S5 uses the SEEA method to assess the carbon emission efficiency of a building during the construction phase of the building process:

[0074] SEEA efficiency = ∑ Actual carbon emissions / Calculated carbon emissions

[0075] Among them, SEEA efficiency refers to the efficiency value calculated by the SEEA method, which is used to measure the efficiency of carbon emissions during the construction phase. The higher the efficiency value, the more serious the carbon emissions during the construction phase exceed the standard. The lower the efficiency value, the more effective the carbon reduction measures during the construction phase are, and the saved carbon can enter the corporate carbon trading market.

[0076] In a preferred embodiment, step S5 establishes unified cross-cloud data, clearly defining the fields for carbon emission data of personnel, materials, and machinery, including equipment model, power, carbon emission coefficient, and mapping relationship. This ensures consistent data formats across different cloud platforms and avoids calculation deviations that require 5-10 calculations. Furthermore, encryption and access control utilize blockchain technology to record data flow trajectories within 25-50 seconds. The transmission process from edge cloud to regional cloud ensures immutability. Role-based access control manages access permissions, allowing construction teams to view data for their specific process 5-15 times, while management can view the overall results, thus ensuring data security.

[0077] In a preferred embodiment, the differences found in the comparison in S6 are analyzed, and the comprehensiveness of the statistical process, the accuracy of the statistical data, the objectivity of the calculation method, and the correctness of the selection of carbon emission factors are verified. The carbon emission benchmark value of the construction process is verified 5-15 times and controlled within 5-10 seconds. The statistical results of the project database are analyzed by experts to identify blind spots and 5-15 carbon reduction points in the company's carbon emission management. Inaccurate calculations are corrected, and carbon emission accounting reports for different types of construction stages are generated for the company within 2-5 seconds. Targeted carbon reduction measures and specific sub-item and sub-section assessment indicators are proposed, and the total amount is controlled within 5-10 seconds.

[0078] The technical effects and advantages of this invention are as follows:

[0079] 1. This invention employs a method of defining three types of boundaries—time, geography, and activity—multiple times to precisely limit the calculation scope. Time extends from the arrival of personnel, materials, and equipment to completion and delivery; geography is limited to the construction site; and activities are subdivided into sub-items and sub-sections, separating production and living activities from physical and non-physical activities. Personnel, materials, and equipment are calculated separately to ensure the accuracy and relevance of the calculations. Carbon footprint is comprehensively captured, covering all processes, individual units, and the entire project within a specified timeframe. The evaluation is highly efficient, completing overall and block carbon emission assessments within a fixed timeframe. Data processing utilizes cloud technology to efficiently calculate energy consumption data for each process in both production and non-production areas within a specified timeframe, using sub-items and sub-sections as units, greatly improving accounting efficiency.

[0080] 2. This invention employs the construction and multiple construction of a digital carbon emission calculation model, combined with multi-level cloud computing storage, to lay a solid foundation for accurate calculation. Based on construction data and BIM models, it can quickly calculate carbon emissions at the construction site within a specified time, and obtain the carbon emission amount and fluctuation range of sub-sections, sub-items, and processes within a specified number of seconds. It efficiently obtains real carbon emission data and footprints, and ensures efficient data processing and storage through cloud processing. Based on the calculation results, the SEEA method is used to evaluate carbon emission efficiency and control it within a reasonable range. Multiple cloud processing management further optimizes the data, providing a scientific, efficient, and accurate decision-making basis for carbon emission control during the construction phase.

[0081] 3. This invention boasts significant advantages in its carbon emission management operation mode. The rapid comparison process allows for the comparison of calculated results after considering carbon reduction measures with standard data within a specified timeframe, efficiently and accurately identifying carbon emission discrepancies and providing clear guidance for subsequent management. In terms of targeted control, effective control can be implemented within a specified timeframe for stages, locations, and processes with high carbon emissions, significantly shortening response time and preventing further exceedances of carbon emission limits. Operations based on a carbon emission management platform enable centralized data processing and analysis, rapid strategy formulation and execution, and improved management systematization and coordination. This contributes to building a comprehensive and efficient carbon emission control system, promoting the project's green and low-carbon goals. Attached Figure Description

[0082] Figure 1 This is a schematic diagram of the construction phase adaptability carbon emission footprint statistical accounting method of the present invention. Detailed Implementation

[0083] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0084] As attached Figure 1 The method for calculating the adaptive carbon emission footprint during the construction phase is shown, and the following two sets of embodiments are derived.

[0085] Example 1:

[0086] S1. Clearly define the three boundaries of time, geography, and activities for carbon emission calculation during the construction phase 5 times. In terms of time, it is 5 days from the entry of personnel, materials, and machinery to the completion and delivery. Geographically, it is limited to the construction site and does not include carbon emissions from building material production and transportation. In terms of activities, it is divided into sub-items and sub-sections, separating production and living, and physical and non-physical. Personnel, materials, and machinery are calculated 10 times each. At the same time, carbon footprint capture needs to cover all processes, individual units, and the entire project on site for 5 minutes. The overall and block carbon emission assessments are controlled within 5 seconds. Through cloud data processing and calculation, the data of each process and individual unit are summarized to achieve separate evaluation of the overall and block. The calculation results generate a visual report carbon emission list and block comparison map, which are simultaneously stored in the cloud database 5 times. Dynamic verification codes are supported for subsequent traceability and dynamic adjustment within 10 seconds.

[0087] S2. Based on the calculation boundaries and scope determined in step S1, collect energy consumption data for each process in the production area and non-production area, using sub-items and sub-sections as calculation units, and process the data 5 times within 5 seconds.

[0088] S3. Construct a carbon emission calculation model based on a digital model, consisting of five components. This model includes carbon emission calculations for the construction preparation phase, the construction phase (including calculations of carbon emissions from machinery used in individual engineering projects), organizational measures, technical measures, complementary energy provided by renewable energy sources, offsetting carbon emissions, human-related carbon emissions during construction, and the total carbon footprint of the construction site during the building construction phase.

[0089] Carbon emissions (P) during the preparation phase of the construction phase of the sub-projects sg The calculation is as follows:

[0090] C sg =C jy +C rx

[0091] Among them, C sg Indicates carbon emissions during the preparation phase of a sub-project; C iy This indicates the carbon emissions per shift of construction machinery during the preparation phase; C rx This indicates the carbon emissions from human consumption during the preparation phase:

[0092] The calculation of carbon emissions per machine shift for each sub-project is shown below:

[0093]

[0094] E jx,j =D jx,n ×E jx,n

[0095]

[0096] Where n is the number of sub-projects; i is the energy quantity; C is the construction machinery serial number; C jx E represents the carbon emissions per machine shift during the implementation phase of a sub-project; jx,i EF represents the amount of the i-th type of energy used in the construction of the sub-item project; i D represents the carbon emission factor of the i-th energy source; jx,n E represents the quantity of work for the nth sub-item; jx,n D represents the energy consumption coefficient of the nth sub-item; n,c M represents the consumption of the Cth type of small construction machinery shifts in the nth sub-item of the project; c S represents the energy consumption per shift of the Cth type of small construction machinery used in the nth sub-project; mc,n This represents the energy consumption of the nth type of small construction machinery in the sub-project:

[0097] The calculation of carbon emissions from the energy consumed by the organizational measures project is as follows:

[0098]

[0099] Where: n is the number of organizational measures items for the sub-project; i is the energy quantity; c is the construction machinery serial number; ZC is the organizational measures item code; C zc Indicates the carbon emissions per machine shift for organizational measures projects; O zc,i EF represents the total energy consumption of the i-th type in the organizational measures project; i Q represents the carbon emission factor of the i-th energy source; zc,n E represents the quantity of work for the nth sub-item of the project's organizational measures; zc,n表示 Energy consumption coefficient of the nth sub-item of the technical measures project; T n,c S represents the consumption of the C-type construction machinery shifts used in the nth sub-item of the project; Mc represents the energy consumption of the C-type construction machinery shifts used in the nth sub-item of the project; S mc,n This represents the energy consumption of the nth type of small construction machinery in the sub-item project:

[0100] The calculation of carbon emissions from energy consumption by the technical measures project is as follows:

[0101]

[0102] Where: n is the number of sub-item project organization measures; i is the energy quantity; c is the construction machinery serial number; JC is the technical measure project code; C jc Indicates the carbon emissions per machine shift for technical measures projects; O jc,iTotal energy consumption of type i in the technical measures project; EF i Q represents the carbon emission factor of the i-th energy source; Jc,n E represents the quantity of the technical measures item of the nth sub-item of the project; jc,n T represents the energy consumption coefficient of the nth sub-item of the technical measures project; n,c S represents the consumption of the C-type construction machinery shifts used in the nth sub-item of the project; Mc represents the energy consumption of the C-type construction machinery shifts used in the nth sub-item of the project; S mc,n This represents the energy consumption of the nth type of small construction machinery in the sub-item project:

[0103] The calculation of offsetting carbon emissions by the complementary energy provided by renewable energy utilization is shown below:

[0104] Renewable energy utilization = solar power generation + solar water heating + wind power

[0105]

[0106] Where: C r This indicates the reduction in carbon emissions caused by renewable energy replacing electricity from the national grid; R pg This indicates the reduction in carbon emissions caused by photovoltaic panel power generation replacing electricity from the national grid; R sh This indicates the reduction in carbon emissions caused by solar water heaters replacing electricity from the national grid; R w This represents the reduction in carbon emissions caused by wind power replacing electricity from the national grid; R a This indicates the reduction in carbon emissions caused by air-source heat pumps replacing electricity from the national grid:

[0107] R pg =P pg ×EF d

[0108] P pg =PR×(1-CR)×H×A P

[0109] Where P pg Indicates the annual power generation of the photovoltaic panel; EF d The figure represents the national electricity carbon emission factor; PR represents the conversion efficiency of the photovoltaic panel system; CR represents the loss coefficient in the power generation process of the photovoltaic panel system; H represents the total annual solar radiation installed by the photovoltaic panels; A p This indicates the area of ​​photovoltaic panels installed at the construction site:

[0110] R sh =P sh ×EF d

[0111] P sh=[Ap×J I (1-HL)T jy ] / 3.6

[0112] Where P sh Indicates the annual power generation of the solar water heater; EF d Indicates the national electricity carbon emission factor; T jy HL represents the average heat collection efficiency per square meter of the solar water heater's collector tubes; J represents the loss coefficient of the water heater's piping and heat storage device. I A represents the total annual solar radiation received by the sun-receiving surface of a solar water heater; C This indicates the area of ​​the solar water heater collector tubes installed at the construction site:

[0113] R w =P W ×EF d

[0114] P w =0.5ρ×RD 2 ×WV×K

[0115] Where P W This indicates the annual power generation from wind power generation at the construction site; EF d Represents the national electricity carbon emission factor; ρ represents air density, RD 2 The calculation of daily carbon emissions by man is as follows: where WV represents the square of the wind turbine diameter, WV represents the wind speed, and K represents the wind energy utilization rate.

[0116] C rg =MD×EF rg

[0117] Where C rg This indicates the daily carbon emissions of human labor during the construction process; MD represents the number of human man-days; EF rg This represents the artificial carbon emission factor. Multi-level cloud computing storage allows for preliminary aggregation and calculation of block-level carbon emission data through regional nodes. Core nodes are responsible for integrating and deeply analyzing overall project data, achieving hierarchical processing of "block evaluation" and "overall evaluation." The efficiency of large-scale data computation is controlled at 5-10%. The specific steps for calculating the total carbon emissions during the building construction phase (excluding carbon emissions from building material production and transportation) are as follows:

[0118]

[0119] C 总 =C d -C R

[0120] Where: C d Indicates the carbon emissions from the energy consumed by each sub-project during the construction phase; Cjx Indicates the carbon emissions per machine shift during the implementation phase of a sub-project; C zc Indicates the carbon emissions per machine shift for organizational measures projects; C jc Indicates the carbon emissions per machine shift for organizational measures projects; C rg This indicates the daily carbon emissions generated by human labor during the construction process; M cq,j Indicates material consumption; EF c,j C represents the carbon emission factor of materials. 总 Indicates the total carbon emissions during the building construction phase; C r It represents the carbon emission reduction caused by renewable energy replacing electricity from the State Grid. The system model is built on the basis of sub-projects and sub-items, covering the carbon emissions of various blocks such as labor, materials, machinery, and temporary facilities.

[0121] S4. Based on the data collected during the construction process in step S2 (manpower, materials, and machinery consumption) and the digital BIM calculation model in step S3, and with a time limit of 5 minutes, calculate the carbon emissions of the construction site during the building construction phase in 5S. This will yield the carbon emissions of sub-sections and individual projects, and the fluctuation range of carbon emissions impacted by each process, which is 0.5 times the base value. In addition to the calculations performed in the calculation phase, the following calculations also need to be completed during the carbon emission calculation phase:

[0122] Carbon emission accounting for construction waste and accounting for construction waste reuse in the organizational measures project:

[0123]

[0124] Where: C lj This indicates the carbon emissions from waste removal during the construction phase; V lj D represents the amount of waste transported out of the i-th type during the construction phase of the project. lj EF represents the transport distance of the i-th type of waste in the construction phase sub-project; lj,i This represents the i-th type of waste carbon emission factor during the construction phase;

[0125] C zl This indicates that waste recycling during the construction phase reduces carbon emissions; R zl,i The amount of type i waste reused during the construction phase; EF lj，i This represents the carbon emission factor of the i-th type of waste during the construction phase;

[0126] Carbon emission accounting during the construction phase of temporary facilities in organizational measures projects:

[0127]

[0128] Among them, C ls E represents the carbon emission accounting value of temporary facilities during the construction phase. ls,iEF represents the energy consumption of the i-th type in temporary facilities during the construction phase; ls,i Indicates the carbon emission factor of the i-th energy source for temporary facilities:

[0129] Carbon emissions from the use of new fuels in the canteen of the temporary facility and carbon emissions from the emission of Freon from the air conditioning system of the temporary facility are calculated as follows:

[0130]

[0131] C kt =L fla ×1700

[0132] Among them, C XP This indicates the carbon emission accounting value of the temporary facility canteen using new fuels during the construction phase; E xr,i This represents the consumption of the i-th type of new fuel in the temporary canteen during the construction phase; EF i Represents the carbon emission factor for the i-th energy source:

[0133] C kt This indicates the carbon emission accounting value for temporary facilities using air conditioning during the construction phase; L fla Indicates the amount of Freon leakage in air conditioners; 100-year GWP potential value of refrigerant dichlorofluoromethane (DCFM) as stated in IPCC 6th Notification 1700:

[0134] Organizational measures project for vehicle carbon emission accounting used in daily office work

[0135]

[0136] Among them, C cl This indicates the carbon emission accounting value of vehicles used in daily office work; E ci,i EF represents the energy consumption of the office vehicle using the i-th energy source; i Represents the carbon emission factor for the i-th energy source:

[0137] Carbon emission accounting for on-site mixing processes used in concrete sub-projects:

[0138]

[0139] C xt This indicates the carbon emission calculation amount for concrete mixing at the construction site; EF t Indicates the carbon emission factor of concrete;

[0140] Carbon emission accounting for welding processes used at the construction site:

[0141]

[0142] C hj Indicates the carbon emissions from welding processes at the construction site; Cqt,i C represents the storage capacity of the i-th gas in the gas storage device; kg,i This represents the carbon emissions per kg of the i-th gas during combustion. We obtain real carbon emission data from the construction site to determine the carbon emission footprint, and then process the data in the cloud.

[0143] S5. Based on the carbon emission accounting results of step S4, use the SEEA method to assess the carbon emission efficiency of the building during the construction phase, controlling the efficiency at 10%.

[0144] SEEA efficiency = ∑ Actual carbon emissions / Calculated carbon emissions

[0145] Among them, SEEA efficiency refers to the efficiency value calculated by the SEEA method, which is used to measure the efficiency of carbon emissions during the construction phase. The higher the efficiency value, the more serious the carbon emissions during the construction phase exceed the standard. The lower the efficiency value, the more effective the carbon reduction measures during the construction phase are. The saved carbon can enter the enterprise carbon trading market and be processed and managed in the cloud five times to establish unified cross-cloud data. The field definition of carbon emission data of personnel, materials and machinery is clearly defined, including equipment model, power, carbon emission coefficient and mapping relationship. This ensures that the data format is consistent across different cloud platforms and avoids calculation deviations. It needs to be calculated five times. Secondly, encryption and access control are implemented. The data flow trajectory is recorded through blockchain technology and controlled within 25 seconds. The transmission process from edge cloud to regional cloud is used to ensure immutability. Role-based access control is adopted to control access permissions. Construction teams can only view the data of this process five times, while management can view the overall results to ensure data security.

[0146] S6. Compare the carbon emission accounting results after considering carbon reduction measures with the carbon emission level data in the standard 5 times and keep the comparison within 10 seconds. Implement targeted control for stages, parts, and processes with high carbon emissions, keeping the control time within 15 seconds. Analyze any differences found in the comparison, verify the comprehensiveness of the statistical process, the accuracy of the statistical data, the objectivity of the calculation method, and the correctness of the selection of carbon emission factors. Verify the carbon emission benchmark value of the construction process 5 times and keep the comparison within 5 seconds. Conduct expert analysis on the statistical results of the project database data to identify 5 blind spots and carbon reduction points in the company's carbon emission management. Correct any inaccurate accounting. Output carbon emission accounting reports for different types of construction stages for the company, generating the reports within 2 seconds. Propose targeted carbon reduction measures and specific sub-item and sub-section assessment indicators, controlling the total amount within 5 seconds. Operate the carbon emission management platform.

[0147] Example 2:

[0148] S1. Clearly define the three boundaries of time, geography, and activities for carbon emission calculation during the construction phase 10 times. In terms of time, it is 10 days from the entry of personnel, materials, and machinery to the completion and delivery. Geographically, it is limited to the construction site and does not include carbon emissions from building material production and transportation. In terms of activities, it is divided into sub-items and sub-sections, separating production and living, and physical and non-physical. Personnel, materials, and machinery are calculated 30 times respectively. At the same time, carbon footprint capture needs to cover all processes, individual units, and the entire project on site for 10 minutes. The overall and block carbon emission evaluations are controlled within 15 seconds. Through cloud data processing and calculation, the data of each process and individual unit are summarized to achieve separate evaluation of the overall and block. The calculation results generate a visual report carbon emission list and block comparison map, which are synchronously stored in the cloud database 10 times. Dynamic verification codes are supported for subsequent traceability and dynamic adjustment within 15 seconds.

[0149] S2. Based on the calculation boundaries and scope determined in step S1, collect energy consumption data for each process in the production area and non-production area, using sub-items and sub-sections as calculation units, and process 15 times within 10 seconds.

[0150] S3. Construct a carbon emission calculation model based on a digital model, consisting of 10 components. This model includes carbon emission calculations for the construction preparation phase, the construction phase (including calculations of carbon emissions from machinery used in individual engineering projects), organizational measures, technical measures, complementary energy provided by renewable energy sources, offsetting carbon emissions, human-related carbon emissions during construction, and the total carbon footprint of the construction site during the building construction phase.

[0151] Carbon emissions (P) during the preparation phase of the construction phase of the sub-projects sg The calculation is as follows:

[0152] C sg =C jy +C rx

[0153] Among them, C sg Indicates carbon emissions during the preparation phase of a sub-project; C iy This indicates the carbon emissions per shift of construction machinery during the preparation phase; C rx This indicates the carbon emissions from human consumption during the preparation phase:

[0154] The calculation of carbon emissions per machine shift for each sub-project is shown below:

[0155]

[0156] E jx,j =D jx,n ×E jx,n

[0157]

[0158] Where n is the number of sub-projects; i is the energy quantity; C is the construction machinery serial number; C jx E represents the carbon emissions per machine shift during the implementation phase of a sub-project; jx,i EF represents the amount of the i-th type of energy used in the construction of the sub-item project; i D represents the carbon emission factor of the i-th energy source; jx,n E represents the quantity of work for the nth sub-item; jx,n D represents the energy consumption coefficient of the nth sub-item; n,c M represents the consumption of the Cth type of small construction machinery shifts in the nth sub-item of the project; c S represents the energy consumption per shift of the Cth type of small construction machinery used in the nth sub-project; mc,n This represents the energy consumption of the nth type of small construction machinery in the sub-project:

[0159] The calculation of carbon emissions from the energy consumed by the organizational measures project is as follows:

[0160]

[0161] Where: n is the number of organizational measures items for the sub-project; i is the energy quantity; c is the construction machinery serial number; ZC is the organizational measures item code; C zc Indicates the carbon emissions per machine shift for organizational measures projects; O zc,i EF represents the total energy consumption of the i-th type in the organizational measures project; i Q represents the carbon emission factor of the i-th energy source; zc,n E represents the quantity of work for the nth sub-item of the project's organizational measures; zc,n表示 Energy consumption coefficient of the nth sub-item of the technical measures project; T n,c S represents the consumption of the C-type construction machinery shifts used in the nth sub-item of the project; Mc represents the energy consumption of the C-type construction machinery shifts used in the nth sub-item of the project; S mc,n This represents the energy consumption of the nth type of small construction machinery in the sub-item project:

[0162] The calculation of carbon emissions from energy consumption by the technical measures project is as follows:

[0163]

[0164] Where: n is the number of sub-item project organization measures; i is the energy quantity; c is the construction machinery serial number; JC is the technical measure project code; C jc Indicates the carbon emissions per machine shift for technical measures projects; Ojc,i Total energy consumption of type i in the technical measures project; EF i Q represents the carbon emission factor of the i-th energy source; Jc,n E represents the quantity of the technical measures item of the nth sub-item of the project; jc,n T represents the energy consumption coefficient of the nth sub-item of the technical measures project; n,c S represents the consumption of the C-type construction machinery shifts used in the nth sub-item of the project; Mc represents the energy consumption of the C-type construction machinery shifts used in the nth sub-item of the project; S mc,n This represents the energy consumption of the nth type of small construction machinery in the sub-item project:

[0165] The calculation of offsetting carbon emissions by the complementary energy provided by renewable energy utilization is shown below:

[0166] Renewable energy utilization = solar power generation + solar water heating + wind power

[0167]

[0168] Where: C r This indicates the reduction in carbon emissions caused by renewable energy replacing electricity from the national grid; R pg This indicates the reduction in carbon emissions caused by photovoltaic panel power generation replacing electricity from the national grid; R sh This indicates the reduction in carbon emissions caused by solar water heaters replacing electricity from the national grid; R w This represents the reduction in carbon emissions caused by wind power replacing electricity from the national grid; R a This indicates the reduction in carbon emissions caused by air-source heat pumps replacing electricity from the national grid:

[0169] R pg =P pg ×EF d

[0170] P pg =PR×(1-CR)×H×A P

[0171] Where P pg Indicates the annual power generation of the photovoltaic panel; EF d The figure represents the national electricity carbon emission factor; PR represents the conversion efficiency of the photovoltaic panel system; CR represents the loss coefficient in the power generation process of the photovoltaic panel system; H represents the total annual solar radiation installed by the photovoltaic panels; A p This indicates the area of ​​photovoltaic panels installed at the construction site:

[0172] R sh =P sh ×EF d

[0173] Psh =[Ap×J I (1-HL)T jy ] / 3.6

[0174] Where P sh Indicates the annual power generation of the solar water heater; EF d Indicates the national electricity carbon emission factor; T jy HL represents the average heat collection efficiency per square meter of the solar water heater's collector tubes; J represents the loss coefficient of the water heater's piping and heat storage device. I A represents the total annual solar radiation received by the sun-receiving surface of a solar water heater; C This indicates the area of ​​the solar water heater collector tubes installed at the construction site:

[0175] R w =P W ×EF d

[0176] P w =0.5ρ×RD 2 ×WV×K

[0177] Where P W This indicates the annual power generation from wind power generation at the construction site; EF d Represents the national electricity carbon emission factor; ρ represents air density, RD 2 The calculation of daily carbon emissions by man is as follows: where WV represents the square of the wind turbine diameter, WV represents the wind speed, and K represents the wind energy utilization rate.

[0178] C rg =MD×EF rg

[0179] Where C rg This indicates the daily carbon emissions of human labor during the construction process; MD represents the number of human man-days; EF rg This represents the artificial carbon emission factor. Multi-level cloud computing storage can perform preliminary aggregation and calculation of block-level carbon emission data through regional nodes. The core node is responsible for the integration and in-depth analysis of the overall project data, realizing the hierarchical processing of "block evaluation" and "overall evaluation". The efficiency of large-scale data computing is controlled within 10%. The specific steps for calculating the total carbon emissions during the building construction phase (excluding carbon emissions from building material production and transportation) are as follows:

[0180]

[0181] C 总 =C d -C R

[0182] Where: C dIndicates the carbon emissions from the energy consumed by each sub-project during the construction phase; C jx Indicates the carbon emissions per machine shift during the implementation phase of a sub-project; C zc Indicates the carbon emissions per machine shift for organizational measures projects; C jc Indicates the carbon emissions per machine shift for organizational measures projects; C rg This indicates the daily carbon emissions generated by human labor during the construction process; M cq,j Indicates material consumption; EF c,j C represents the carbon emission factor of materials. 总 Indicates the total carbon emissions during the building construction phase; C r This represents the reduction in carbon emissions from replacing electricity from the State Grid with renewable energy. The system model is built on the basis of sub-projects and sub-items, covering carbon emissions from various blocks such as labor, materials, machinery, and temporary facilities.

[0183] S4. Based on the data collected during the construction process in step S2 (manpower, materials, and machinery consumption) and the digital BIM calculation model in step S3, and with a time limit of 15 minutes, calculate the carbon emissions of the construction site during the building construction phase for 10 seconds. This will yield the carbon emissions of sub-sections and individual projects, as well as the fluctuation range of carbon emissions impacted by each process, based on a 1x base value. In addition to the calculations performed in the calculation phase, the following calculations also need to be completed during the carbon emission calculation phase:

[0184] Carbon emission accounting for construction waste and accounting for construction waste reuse in the organizational measures project:

[0185]

[0186] Where: C lj This indicates the carbon emissions from waste removal during the construction phase; V lj D represents the amount of waste transported out of the i-th type during the construction phase of the project. lj EF represents the transport distance of the i-th type of waste in the construction phase sub-project; lj,i This represents the i-th type of waste carbon emission factor during the construction phase;

[0187] C zl This indicates that waste recycling during the construction phase reduces carbon emissions; R zl,i The amount of type i waste reused during the construction phase; EF lj，i This represents the carbon emission factor of the i-th type of waste during the construction phase;

[0188] Carbon emission accounting during the construction phase of temporary facilities in organizational measures projects:

[0189]

[0190] Among them, C lsE represents the carbon emission accounting value of temporary facilities during the construction phase. ls,i EF represents the energy consumption of the i-th type in temporary facilities during the construction phase; ls,i Indicates the carbon emission factor of the i-th energy source for temporary facilities:

[0191] Carbon emissions from the use of new fuels in the canteen of the temporary facility and carbon emissions from the emission of Freon from the air conditioning system of the temporary facility are calculated as follows:

[0192]

[0193] C kt =L fla ×1700

[0194] Among them, C XP This indicates the carbon emission accounting value of the temporary facility canteen using new fuels during the construction phase; E xr,i This represents the consumption of the i-th type of new fuel in the temporary canteen during the construction phase; EF i Represents the carbon emission factor for the i-th energy source:

[0195] C kt This indicates the carbon emission accounting value for temporary facilities using air conditioning during the construction phase; L fla Indicates the amount of Freon leakage in air conditioners; 100-year GWP potential value of refrigerant dichlorofluoromethane (DCFM) as stated in IPCC 6th Notification 1700:

[0196] Organizational measures project for vehicle carbon emission accounting used in daily office work

[0197]

[0198] Among them, C cl This indicates the carbon emission accounting value of vehicles used in daily office work; E ci,i EF represents the energy consumption of the office vehicle using the i-th energy source; i Represents the carbon emission factor for the i-th energy source:

[0199] Carbon emission accounting for on-site mixing processes used in concrete sub-projects:

[0200]

[0201] C xt This indicates the carbon emission calculation amount for concrete mixing at the construction site; EF t Indicates the carbon emission factor of concrete;

[0202] Carbon emission accounting for welding processes used at the construction site:

[0203]

[0204] C hj Indicates the carbon emissions from welding processes at the construction site; C qt,i C represents the storage capacity of the i-th gas in the gas storage device; kg,i This represents the carbon emissions per kg of the i-th gas during combustion. We obtain real carbon emission data from the construction site to determine the carbon emission footprint, and then process the data in the cloud.

[0205] S5. Based on the carbon emission accounting results of step S4, use the SEEA method to assess the carbon emission efficiency of the building during the construction phase, controlling the efficiency at 25%.

[0206] SEEA efficiency = ∑ Actual carbon emissions / Calculated carbon emissions

[0207] Among them, SEEA efficiency refers to the efficiency value calculated by the SEEA method, which is used to measure the efficiency of carbon emissions during the construction phase. The higher the efficiency value, the more serious the carbon emissions during the construction phase exceed the standard. The lower the efficiency value, the more effective the carbon reduction measures during the construction phase are. The saved carbon can enter the enterprise carbon trading market and be processed and managed in the cloud 10 times to establish unified cross-cloud data. The field definition of carbon emission data of personnel, materials and machinery is clearly defined, including equipment model, power, carbon emission coefficient and mapping relationship. This ensures that the data format is consistent across different cloud platforms and avoids calculation deviations. It needs to be calculated 10 times. Secondly, encryption and access control are implemented. The data flow trajectory is recorded through blockchain technology and controlled within 50 seconds. The transmission process from edge cloud to regional cloud is used to ensure immutability. Role-based access control is adopted to control access permissions. Construction teams can only view the data of this process 15 times, while management can view the overall results to ensure data security.

[0208] S6. Compare the carbon emission accounting results after considering carbon reduction measures with the carbon emission level data in the standard 15 times and keep the comparison within 15 seconds. Implement targeted control for stages, parts, and processes with high carbon emissions, keeping the control time within 25 seconds. Analyze any differences found in the comparison, verify the comprehensiveness of the statistical process, the accuracy of the statistical data, the objectivity of the calculation method, and the correctness of the selection of carbon emission factors. Verify the carbon emission benchmark value of the construction process 15 times and keep the comparison within 10 seconds. Conduct expert analysis on the statistical results of the project database data to identify 15 blind spots and carbon reduction points in the company's carbon emission management. Correct any inaccuracies in the accounting. Output carbon emission accounting reports for different types of construction stages for the company, generating the reports within 5 seconds. Propose targeted carbon reduction measures and specific sub-item and sub-section assessment indicators, controlling the total amount within 10 seconds. Operate the carbon emission management platform.

[0209] Based on the above two sets of examples, considering factors such as improved efficiency, accuracy, testing, accuracy, evaluation generation time, and report verification rate, the following table was obtained:

[0210] Example 1 Example 2 Accounting efficiency (%) 25.9 29.6 Accounting accuracy (%) 95.5 98.8 Accounting evaluation generation time (h) 9 6.8 Report argument rate (%) 95.5 98.6

[0211] In summary, the accounting efficiency in Example 2 is higher than that in Example 1, the accounting accuracy in Example 2 is higher than that in Example 1, the report verification rate in Example 2 is higher than that in Example 1, and the accounting evaluation generation time in Example 2 is longer than that in Example 1. In summary, regarding boundary definition, three types of boundaries—time, geography, and activities—were clearly defined multiple times to precisely limit the calculation scope. Time extends from the arrival of personnel, materials, and equipment to completion and delivery; geography is limited to the construction site; and activities are subdivided into sub-items and sub-sections, separating production and living activities from physical and non-physical activities. Personnel, materials, and equipment are calculated separately to ensure the accuracy and relevance of the calculations. Carbon footprint capture is comprehensive, covering all processes, individual units, and the entire project within the specified time. Furthermore, the carbon emissions and fluctuation range of sub-sections, sub-projects, and processes are obtained within a specified number of seconds, efficiently acquiring real carbon emission data and footprints. Cloud processing ensures efficient data processing and storage. Based on the calculation results, the SEEA method is used to assess carbon emission efficiency and control it within a reasonable range. Effective control can be implemented within a specified time, greatly shortening response time and preventing further carbon emission exceedances. Operations are carried out based on the carbon emission management platform, enabling centralized data processing and analysis, rapid strategy formulation and execution, improving the systematicness and collaboration of management, and achieving efficient accounting processing. In terms of comprehensive carbon calculation, we will build a carbon calculation platform, statistically analyze carbon emissions, perform carbon emission accounting, and aggregate carbon sinks; in terms of in-depth carbon reduction, we will explore low-carbon construction technologies; and research a set of accurate methods for carbon emission calculation and management that are suitable for our company. Starting from three aspects, namely the determination of carbon boundaries, the basis and methods for carbon emission calculation, and the scope of carbon data capture, we will find scientific carbon emission measurement standards. Comprehensive and accurate calculation is the key to carbon emission calculation. Through preliminary calculation and actual calculation, we will obtain real carbon emission data, thereby assessing and evaluating the implementation effect of green construction.

[0212] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for statistical accounting of adaptive carbon emission footprint during the construction phase, characterized in that: The specific steps are as follows: S1. Clearly define the three boundaries of time, geography, and activities for carbon emission calculation during the construction phase 5-10 times. In terms of time, it should be from the entry of personnel, materials, and machinery into the construction site to the completion and delivery within 5-10 days. Geographically, it should be limited to the construction site and exclude carbon emissions from building material production and transportation. In terms of activities, it should be divided into sub-items and sub-sections, separating production and living, and physical and non-physical. Personnel, materials, and machinery should be calculated 10-30 times respectively. At the same time, carbon footprint capture should cover all processes, individual units, and the entire project on site for 5-10 minutes. Overall and block-specific carbon emission assessments should be conducted and controlled within 5-15 seconds, and calculated through cloud data processing. S2. Based on the calculation boundaries and scope determined in step S1, collect energy consumption data for each process in the production area and non-production area, using sub-items and sub-sections as calculation units, and process them 5-15 times within 5-10 seconds. S3. Construct a carbon emission calculation model based on a digital model 5-10 times, and store it in multi-level cloud computing 3-8 times; S4. Based on the data collected during the construction process in step S2 (consumption of manpower, materials, and machinery) and the digital BIM calculation model in step S3, and with a time limit of 5-15 minutes, calculate the carbon emissions at the construction site during the building construction phase for 5-10 seconds. Obtain the carbon emissions of sub-sections and sub-items, and the fluctuation range of carbon emissions impact of the process is 0.5-1 times the base value. Obtain the real carbon emission data at the construction site, obtain the carbon emission footprint, and process the data in the cloud. S5. Based on the carbon emission accounting results of step S4, use the SEEA method to evaluate the carbon emission efficiency of the building during the construction phase, control the efficiency to 10-25%, and perform cloud processing management 5-10 times. S6. Compare the carbon emission accounting results after considering carbon reduction measures with the carbon emission level data in the standard 5-15 times and control it within 10-15 seconds. For stages, parts and processes with large carbon emissions, implement targeted control, and control time shall not exceed 15-25 seconds. Operate the carbon emission management platform.

2. The method for statistical accounting of adaptive carbon emission footprint during the construction phase according to claim 1, characterized in that: In step S1, the data of each process and individual unit are summarized to achieve separate evaluation of the overall situation and the blocks. The calculation results are used to generate a visual report, carbon emission inventory, and block comparison map, which are simultaneously stored in the cloud database 5-10 times. The dynamic verification code can be used for subsequent traceability and dynamic adjustment within 10-15 seconds.

3. The method for statistical accounting of adaptive carbon emission footprint during the construction phase according to claim 1, characterized in that: The carbon emission calculation model constructed in S3 based on a digital model includes carbon emission calculations for the construction preparation stage, carbon emissions from the machinery hours consumed by the sub-projects during the construction stage, carbon emissions from the machinery hours consumed by organizational measures, carbon emissions from the machinery hours consumed by technical measures, the complementary energy provided by renewable energy utilization, the calculation of offsetting carbon emissions, carbon emissions from human activities during the construction stage, and the calculation of the total carbon footprint of the construction site during the building construction stage. Carbon emissions (P) during the preparation phase of the construction phase of the sub-projects sg The calculation is as follows: C sg =C jy +C rx Among them, C sg Indicates carbon emissions during the preparation phase of a sub-project; C iy This indicates the carbon emissions per shift of construction machinery during the preparation phase; C rx This indicates the carbon emissions from human consumption during the preparation phase: The calculation of carbon emissions per machine shift for each sub-project is shown below: E jx,j =D jx,n ×E jx,n Where n is the number of sub-projects; i is the energy quantity; C is the construction machinery serial number; C jx E represents the carbon emissions per machine shift during the implementation phase of a sub-project; jx,i EF represents the amount of the i-th type of energy used in the construction of the sub-item project; i D represents the carbon emission factor of the i-th energy source; jx,n E represents the quantity of work for the nth sub-item; jx,n D represents the energy consumption coefficient of the nth sub-item; n,c M represents the consumption of the Cth type of small construction machinery shifts in the nth sub-item of the project; c S represents the energy consumption per shift of the Cth type of small construction machinery used in the nth sub-project; mc,n This represents the energy consumption of the nth type of small construction machinery in the sub-project: The calculation of carbon emissions from the energy consumed by the organizational measures project is as follows: Where: n is the number of organizational measures items for the sub-project; i is the energy quantity; c is the construction machinery serial number; ZC is the organizational measures item code; C zc Indicates the carbon emissions per machine shift for organizational measures projects; O zc,i EF represents the total energy consumption of the i-th type in the organizational measures project; i Q represents the carbon emission factor of the i-th energy source; zc,n E represents the quantity of work for the nth sub-item of the project's organizational measures; zc,n表示 Energy consumption coefficient of the nth sub-item of the technical measures project; T n,c S represents the consumption of the C-type construction machinery shifts used in the nth sub-item of the project; Mc represents the energy consumption of the C-type construction machinery shifts used in the nth sub-item of the project; S mc,n This represents the energy consumption of the nth type of small construction machinery in the sub-item project: The calculation of carbon emissions from energy consumption by the technical measures project is as follows: Where: n is the number of sub-item project organization measures; i is the energy quantity; c is the construction machinery serial number; JC is the technical measure project code; C jc Indicates the carbon emissions per machine shift for technical measures projects; O jc,i Total energy consumption of type i in the technical measures project; EF i Q represents the carbon emission factor of the i-th energy source; Jc,n E represents the quantity of the technical measures item of the nth sub-item of the project; jc,n T represents the energy consumption coefficient of the nth sub-item of the technical measures project; n,c S represents the consumption of the C-type construction machinery shifts used in the nth sub-item of the project; Mc represents the energy consumption of the C-type construction machinery shifts used in the nth sub-item of the project; S mc,n This represents the energy consumption of the nth type of small construction machinery in the sub-item project: The calculation of offsetting carbon emissions by the complementary energy provided by renewable energy utilization is shown below: Renewable energy utilization = solar power generation + solar water heating + wind power Where: C r This indicates the reduction in carbon emissions caused by renewable energy replacing electricity from the national grid; R pg This indicates the reduction in carbon emissions caused by photovoltaic panel power generation replacing electricity from the national grid; R sh This indicates the reduction in carbon emissions caused by solar water heaters replacing electricity from the national grid; R w This represents the reduction in carbon emissions caused by wind power replacing electricity from the national grid; R a This indicates the reduction in carbon emissions caused by air-source heat pumps replacing electricity from the national grid: R pg =P pg ×EF d P pg =PR×(1-CR)×H×A P Where P pg Indicates the annual power generation of the photovoltaic panel; EF d The figure represents the national electricity carbon emission factor; PR represents the conversion efficiency of the photovoltaic panel system; CR represents the loss coefficient in the power generation process of the photovoltaic panel system; H represents the total annual solar radiation installed by the photovoltaic panels; A p This indicates the area of ​​photovoltaic panels installed at the construction site: R sh =P sh ×EF d P sh = [Ap×J] I (1-HL)T jy ] / 3.6 Where P sh Indicates the annual power generation of the solar water heater; EF d Indicates the national electricity carbon emission factor; T jy HL represents the average heat collection efficiency per square meter of the solar water heater's collector tubes; J represents the loss coefficient of the water heater's piping and heat storage device. I A represents the total annual solar radiation received by the sun-receiving surface of a solar water heater; C This indicates the area of ​​the solar water heater collector tubes installed at the construction site: R w =P W ×EF d P w =0.5ρ×RD 2 ×WV×K Where P W This indicates the annual power generation from wind power generation at the construction site; EF d Represents the national electricity carbon emission factor; ρ represents air density, RD 2 The calculation of daily carbon emissions by man is as follows: where WV represents the square of the wind turbine diameter, WV represents the wind speed, and K represents the wind energy utilization rate. C rg =MD×EF rg Where C rg This indicates the daily carbon emissions of human labor during the construction process; MD represents the number of human man-days; EF rg This represents artificial carbon emission factors.

4. The method for statistical accounting of adaptive carbon emission footprint during the construction phase according to claim 1, characterized in that: The multi-level cloud computing storage in S3 can perform preliminary aggregation and calculation of block-level carbon emission data through regional nodes, while the core node is responsible for the integration and in-depth analysis of the overall project data, realizing the hierarchical processing of "block evaluation" and "overall evaluation", and controlling the efficiency of large-scale data computing to 5-10%.

5. The method for statistical accounting of adaptive carbon emission footprint during the construction phase according to claim 1, characterized in that: The specific steps in S3 for calculating the total carbon emissions during the building construction phase (excluding carbon emissions from building material production and transportation) are as follows: C 总 =C d -C R Where: C d Indicates the carbon emissions from the energy consumed by each sub-project during the construction phase; C jx Indicates the carbon emissions per machine shift during the implementation phase of a sub-project; C zc Indicates the carbon emissions per machine shift for organizational measures projects; C jc Indicates the carbon emissions per machine shift for organizational measures projects; C rg This indicates the daily carbon emissions generated by human labor during the construction process; M cq,j Indicates material consumption; EF c,j C represents the carbon emission factor of materials. 总 Indicates the total carbon emissions during the building construction phase; C r This indicates the reduction in carbon emissions caused by renewable energy replacing electricity from the national grid.

6. The method for statistical accounting of adaptive carbon emission footprint during the construction phase according to claim 1, characterized in that: The system model in S3 is established based on sub-projects and sub-items, covering carbon emissions from various blocks such as labor, materials, machinery, and temporary facilities.

7. The method for statistical accounting of adaptive carbon emission footprint during the construction phase according to claim 1, characterized in that: In addition to the calculations performed in the calculation phase, the carbon emissions in the S4 accounting phase also need to be calculated as follows: Carbon emission accounting for construction waste and accounting for the reuse of construction waste in the organizational measures project: Where: C lj This indicates the carbon emissions from waste removal during the construction phase; V lj D represents the amount of waste transported out of the i-th type during the construction phase of the project. lj EF represents the transport distance of the i-th type of waste in the construction phase sub-project; lj,i This represents the i-th type of waste carbon emission factor during the construction phase; C zl This indicates that waste recycling during the construction phase reduces carbon emissions; R zl,i The amount of type i waste reused during the construction phase; EF lj，i This represents the carbon emission factor of the i-th type of waste during the construction phase; Carbon emission accounting during the construction phase of temporary facilities in organizational measures projects: Among them, C ls E represents the carbon emission accounting value of temporary facilities during the construction phase. ls,i EF represents the energy consumption of the i-th type in temporary facilities during the construction phase; ls,i Indicates the carbon emission factor of the i-th energy source for temporary facilities: Carbon emissions from the use of new fuels in the canteen of the temporary facility and carbon emissions from the emission of Freon from the air conditioning system of the temporary facility are calculated as follows: C kt =L fla ×1700 Among them, C XP This indicates the carbon emission accounting value of the temporary facility canteen using new fuels during the construction phase; E xr,i This represents the consumption of the i-th type of new fuel in the temporary canteen during the construction phase; EF i Represents the carbon emission factor for the i-th energy source: C kt This indicates the carbon emission accounting value for temporary facilities using air conditioning during the construction phase; L fla Indicates the amount of Freon leakage in air conditioners; 100-year GWP potential value of refrigerant dichlorofluoromethane (DCFM) as stated in IPCC 6th Notification 1700: Organizational measures project for vehicle carbon emission accounting used in daily office work Among them, C cl This indicates the carbon emission accounting value of vehicles used in daily office work; E ci,i EF represents the energy consumption of the office vehicle using the i-th energy source; i Represents the carbon emission factor for the i-th energy source: Carbon emission accounting for on-site mixing processes used in concrete sub-projects: C xt This indicates the carbon emission calculation amount for concrete mixing at the construction site; EF t Indicates the carbon emission factor of concrete; Carbon emission accounting for welding processes used at the construction site: C hj Indicates the carbon emissions from welding processes at the construction site; C qt,i C represents the storage capacity of the i-th gas in the gas storage device; kg,i This represents the carbon emissions per kg of the i-th gas when burned.

8. The method for statistical accounting of adaptive carbon emission footprint during the construction phase according to claim 1, characterized in that: The SEEA method is used in S5 to assess the carbon emission efficiency of a building during the construction phase of the building process. SEEA efficiency = ∑ Actual carbon emissions / Calculated carbon emissions Among them, SEEA efficiency refers to the efficiency value calculated by the SEEA method, which is used to measure the efficiency of carbon emissions during the construction phase. The higher the efficiency value, the more serious the carbon emissions during the construction phase exceed the standard. The lower the efficiency value, the more effective the carbon reduction measures during the construction phase are, and the saved carbon can enter the corporate carbon trading market.

9. The method for statistical accounting of adaptive carbon emission footprint during the construction phase according to claim 1, characterized in that: The S5 establishes unified cross-cloud data, clearly defining the fields for carbon emission data of personnel, materials, and machinery, including equipment model, power, carbon emission coefficient, and mapping relationship. This ensures consistent data formats across different cloud platforms and avoids calculation deviations that require 5-10 calculations. Secondly, encryption and access control use blockchain technology to record data flow trajectories within 25-50 seconds. The transmission process from edge cloud to regional cloud ensures immutability. Role-based access control manages access permissions, allowing construction teams to view data for their specific process 5-15 times, while management can view the overall results, ensuring data security.

10. The method for statistical accounting of adaptive carbon emission footprint during the construction phase according to claim 1, characterized in that: The differences found in the comparison in S6 are analyzed, and the comprehensiveness of the statistical process, the accuracy of the statistical data, the objectivity of the calculation method, and the correctness of the selection of carbon emission factors are verified. The carbon emission benchmark values ​​for the construction process are verified 5-15 times and controlled within 5-10 seconds. The statistical results of the project database are analyzed by experts to identify blind spots and 5-15 carbon reduction points in the company's carbon emission management. Inaccurate calculations are corrected, and carbon emission accounting reports for different types of construction stages are generated for the company within 2-5 seconds. Targeted carbon reduction measures and specific sub-item and sub-section assessment indicators are proposed, and the total amount is controlled within 5-10 seconds.

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