Multi-mode carbon emission accounting method and system

Abstract

The embodiment of the invention discloses a multi-mode carbon emission accounting method and system, and belongs to the technical field of carbon emission accounting. Comprising the steps of obtaining total engineering project data, and generating an engineering quantity list of a total engineering project; on the basis of the project quantity list, actual data of resource consumption in each project item is generated; obtaining resource consumption quota data corresponding to the engineering item, carbon emission quota data corresponding to the engineering item and carbon emission factor data corresponding to resource consumption; obtaining a mode selection instruction of a user, wherein the modes comprise a rapid estimation mode, a construction accounting mode and a quality optimization mode; if the rapid estimation mode is selected, calculating the carbon emission and the confidence coefficient of the engineering item; if the construction accounting mode is selected, calculating the carbon emission and the confidence coefficient of the engineering item; and if the quality optimization mode is selected, calculating the carbon emission and the confidence coefficient of the engineering item. The comprehensive reflection of the carbon emission data is realized by adopting a diversified calculation mode and combining with the data confidence coefficient.

Description

Technical Field

[0001] This invention relates to the field of carbon emission accounting technology, and in particular to a multi-mode carbon emission accounting method and system. Background Technology

[0002] In the construction engineering sector, accurate accounting of carbon emissions during the project construction period is a core and fundamental step in promoting the industry's implementation of "dual carbon" targets. Since the construction period encompasses multiple stages, including planning and design, material procurement, construction, and equipment installation, it involves various carbon emission sources such as the production of building materials like steel and cement, energy consumption of construction machinery, and transportation and logistics. Therefore, the accuracy and effectiveness of the accounting results directly determine the precision of emission reduction strategies and significantly impact the implementation of emission reduction strategies throughout the project's entire lifecycle.

[0003] Currently, the mainstream technical means for calculating carbon emissions during the construction phase in the industry mainly rely on relatively simple or static calculation methods and data source systems. Common practices include using macro-level estimation methods based on comprehensive quotas or micro-level accounting methods based on specific resource consumption inventories to calculate and output carbon emissions.

[0004] However, existing technologies use different calculation methods and different data types, which cannot reflect comprehensive information on carbon emissions and make it difficult to meet the diverse needs of carbon emission accounting in engineering practice. Summary of the Invention

[0005] This invention provides a multi-mode carbon emission accounting method and system to solve the technical problem in the prior art that the carbon emission data cannot be fully reflected when calculating carbon emissions.

[0006] In a first aspect, embodiments of the present invention provide a multi-mode carbon emission accounting method, including:

[0007] Obtain the total project data and generate the bill of quantities for the total project.

[0008] Based on the bill of quantities, generate actual data on resource consumption for each project item;

[0009] Obtain the resource consumption quota data, carbon emission quota data, and carbon emission factor data corresponding to the resource consumption for each project item.

[0010] Obtain the user's selection mode instruction, which includes a quick estimation mode, a construction calculation mode, and a quality optimization mode;

[0011] If the quick estimation mode is selected, the carbon emissions and confidence level of the project item are calculated based on the bill of quantities and the carbon emission quota data corresponding to the project item.

[0012] If the construction accounting mode is selected, the carbon emissions and confidence level of the project item are calculated based on the actual data of resource consumption and the carbon emission factor data corresponding to the resource consumption.

[0013] If the quality optimization mode is selected, the confidence level of all candidate data in the carbon emission factor data corresponding to the resource consumption is first calculated, and the carbon emission amount and confidence level of the project item are calculated based on the data with high confidence.

[0014] Secondly, embodiments of the present invention also provide a multi-mode carbon emission accounting system, comprising:

[0015] The first acquisition module is used to acquire total project data and generate a bill of quantities for the total project.

[0016] The generation module is used to generate actual data on resource consumption for each project item based on the bill of quantities.

[0017] The second acquisition module is used to acquire resource consumption quota data, carbon emission quota data, and carbon emission factor data corresponding to the project items.

[0018] The instruction module is used to obtain the user's selection mode instruction, which includes a quick estimation mode, a construction calculation mode, and a quality optimization mode.

[0019] The fast estimation mode calculation module is used to calculate the carbon emissions and confidence level of the project item based on the bill of quantities and the carbon emission quota data corresponding to the project item if the fast estimation mode is selected.

[0020] The construction accounting mode calculation module is used to calculate the carbon emissions and confidence level of the project item based on the actual data of resource consumption and the carbon emission factor data corresponding to the resource consumption if the construction accounting mode is selected.

[0021] The quality optimization mode calculation module is used to first calculate the confidence level of all candidate data in the carbon emission factor data corresponding to the resource consumption, and then calculate the carbon emission and confidence level of the project item based on the data with high confidence.

[0022] The multi-mode carbon emission accounting method and system provided in this invention acquires total project data and generates a bill of quantities for the total project; based on the bill of quantities, it generates actual resource consumption data for each project item; it acquires resource consumption quota data, carbon emission quota data, and carbon emission factor data corresponding to the resource consumption for each project item; it acquires user selection mode instructions, including a quick estimation mode, a construction calculation mode, and a quality optimization mode; if the quick estimation mode is selected, it calculates the carbon emission and confidence level of the project item based on the bill of quantities and the carbon emission quota data corresponding to the project item; if the construction calculation mode is selected, it calculates the carbon emission and confidence level of the project item based on the actual resource consumption data and the carbon emission factor data corresponding to the resource consumption; if the quality optimization mode is selected, it first calculates the confidence level of all candidate data in the carbon emission factor data corresponding to the resource consumption, and calculates the carbon emission and confidence level of the project item based on the data with high confidence. By selecting diversified calculation modes, the problem of limited applicability is overcome. Meanwhile, by introducing multi-mode confidence, the comprehensiveness and credibility of the accounting results are ensured from both data and calculation method dimensions. Attached Figure Description

[0023] The accompanying drawings, which form part of this invention, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an improper limitation of the invention.

[0024] Figure 1 This is a flowchart of the multi-mode carbon emission accounting method provided in Embodiment 1 of the present invention;

[0025] Figure 2 This is a flowchart of the rapid estimation mode for calculating carbon emissions in the multi-mode carbon emission accounting method provided in Embodiment 1 of the present invention;

[0026] Figure 3 This is a flowchart of the rapid estimation model for calculating the confidence level of carbon emissions in the multi-mode carbon emission accounting method provided in Embodiment 1 of the present invention;

[0027] Figure 4 This is a flowchart of the construction accounting mode for calculating carbon emissions in the multi-mode carbon emission accounting method provided in Embodiment 1 of the present invention;

[0028] Figure 5 This is a flowchart illustrating the calculation of carbon emission confidence level using the construction accounting mode in the multi-mode carbon emission accounting method provided in Embodiment 1 of the present invention.

[0029] Figure 6 This is a schematic diagram of the structure of the multi-mode carbon emission accounting system provided in Embodiment 2 of the present invention. Detailed Implementation

[0030] The present invention will now be described in further detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and not intended to limit it. Furthermore, it should be noted that, for ease of description, the accompanying drawings show only the parts relevant to the present invention, and not all of the structures.

[0031] Example 1

[0032] Figure 1 This is a flowchart of the multi-mode carbon emission accounting method provided in Embodiment 1 of the present invention. This embodiment can be applied to carbon emission accounting scenarios for engineering projects with different calculation needs, and outputs comprehensive carbon emission data based on confidence levels. Specifically, it includes the following steps:

[0033] Step 110: Obtain the total project data and generate the bill of quantities for the total project.

[0034] Work Breakdown Structure (WBS) is a core concept in project management. WBS refers to a deliverable-oriented hierarchical breakdown of the work performed by a project team to achieve project goals and create required deliverables. WBS breaks down a complex overall project into smaller, manageable items. The Bill of Quantities (BOQ) links these decomposed items to their corresponding physical quantities, forming a structured tree of project components.

[0035] For example, a bill of quantities may include hierarchical codes, item names, units of measurement, and quantities. Each hierarchical code uniquely identifies the position of each item within the project structure, such as 1.0 Main Structure - 1.1 Concrete Works - 1.1.1 C30 Concrete Pouring. Item names are clear descriptions of the work performed, such as C30 floor slab concrete pouring. Units of measurement are the standard for measuring quantities, such as cubic meters (m³). 3 The quantity of work is the specific amount that needs to be completed for this project, such as 150m. 3 .

[0036] Step 120: Based on the bill of quantities, generate actual data on resource consumption for each project item.

[0037] Actual resource consumption data refers to the actual resources invested during the construction process to complete a specific project item. The bill of quantities defines the scope and standard quantities of work, and these data are traceable, quantitative records linked to each WBS code.

[0038] For example, labor resource consumption can be recorded under a specific WBS item, specifying the type of work, man-days, or man-hours actually invested. Material resource consumption can be recorded, specifying the exact quantity of various materials actually used, installed, or consumed. Machinery shift resource consumption can be recorded, specifying the number of shifts or hours that various types of construction machinery actually worked under a specific WBS item. Energy consumption can refer to the fuel, electricity, water, etc., consumed by specialized equipment to complete the work of a project item.

[0039] Step 130: Obtain the resource consumption quota data, carbon emission quota data, and carbon emission factor data corresponding to the resource consumption for the project item.

[0040] Resource consumption quota data refers to standard engineering quantity quotas published by national, industry, or regional authoritative departments. The resource consumption quota data corresponding to an engineering item is obtained by associating and mapping the engineering items in the WBS list with the various standard resource quantities required to complete a "unit of work quantity." Carbon emission quota data refers to standard quota data officially published by national, industry, or regional authoritative departments that directly links engineering activities to carbon emissions. It represents the standard carbon dioxide emissions corresponding to engineering items that have been scientifically calculated and reviewed. Carbon emission factor data corresponding to resource consumption represents the carbon dioxide emissions corresponding to a unit of resource consumption. Carbon emission factor data includes national standard carbon emission factor data, local standard carbon emission factor data, and enterprise-defined standard carbon emission factor data.

[0041] Step 140: Obtain the user's selection mode instruction, which includes a quick estimation mode, a construction calculation mode, and a quality optimization mode.

[0042] Step 150: If the quick estimation mode is selected, calculate the carbon emissions and confidence level of the project item based on the bill of quantities and the carbon emission quota data corresponding to the project item.

[0043] The rapid estimation mode is a carbon emission accounting method for early-stage project planning and rapid decision-making. It is based on two core data sources: the bill of quantities and carbon emission quota data for engineering items published by authoritative institutions (i.e., the standard carbon emissions corresponding to each unit of completed work). Through a simplified calculation method of "work quantity × carbon emission quota," it calculates carbon emission estimates, meeting the needs of initial scheme comparison and macro-level decision-making. Confidence level is a key quality assessment indicator introduced to quantify the reliability of the accounting results. In the rapid estimation mode, confidence level is derived through a comprehensive evaluation of the quality of the basic data, including the accuracy and completeness of the bill of quantities, and the authority, timeliness, and matching degree of the carbon emission quota data source. This ultimately forms an intuitive confidence score, helping users determine the actual reference value of the estimation results.

[0044] Figure 2This is a flowchart illustrating the rapid estimation model for calculating carbon emissions using the multi-mode carbon emission accounting method provided in Embodiment 1 of the present invention, as shown below. Figure 2 The rapid estimation model for calculating carbon emissions may include the following steps:

[0045] Step 210: Obtain the carbon emission quota for the required project from the carbon emission quota data corresponding to the project item, and convert the carbon emission quota of the project item into the carbon emission factor of the project item.

[0046] For example, for the "East Artificial Island of the Hong Kong-Zhuhai-Macau Bridge" project, the project data is obtained, and a WBS for the "East Artificial Island of the Hong Kong-Zhuhai-Macau Bridge" is generated. Carbon emission calculation quota data for waterway engineering is obtained, as well as supplementary quota data for coastal immersed tunnels and artificial island projects in Guangdong Province. For the project item "East Artificial Island Foundation Trench Excavation," the matching item "Deep Foundation Pit Silt Excavation and Silt Excavation" is obtained from the carbon emission calculation quota data for waterway engineering. The corresponding carbon emission quota data is retrieved as 8.14 kg / unit. The carbon emission quota data is converted to carbon emission factor data of 8.14 kg / unit using the following formula: Among them, E DE This is carbon emission quota data; Unit is the unit of measurement, C. q It is carbon emission factor data.

[0047] Step 220: Calculate the carbon emissions of the project item based on the carbon emission factor and the quantity of the project item.

[0048] For example, the bill of quantities includes the quantity of each item. The quantity of the item named "East Artificial Island Foundation Trench Excavation" obtained from the bill of quantities is 1,845,135.1 m³. 3 The carbon emissions of the "East Artificial Island Foundation Trench Excavation" project are calculated based on carbon emission factor data and project volume. The calculation formula is as follows: E = Q × C × k, where Q is the project volume of 1845135.1 m³. 3 C represents the carbon emission factor, which is 8.14 kg / m³. 3 k is the correction factor for the carbon emission factor, which defaults to 1, and E is the carbon emission of the project item, which is 15,019,399.714 kg.

[0049] It should be noted that the carbon emission quota data corresponding to the project items comes from official releases by national, industry, or regional authorities and serves as the standard basis directly linking project activities to carbon emissions. However, in the actual calculation process, due to outdated quota databases or overly specialized project items, situations often arise where the target project item (such as "excavation of the foundation trench for the East Artificial Island") cannot be matched with existing quotas. Therefore, when obtaining the carbon emission quota corresponding to the target project item, it is necessary to first determine whether there are any situations where a match cannot be obtained.

[0050] For example, for the "East Artificial Island of the Hong Kong-Zhuhai-Macau Bridge" project, the project data is obtained, and a WBS for the "East Artificial Island of the Hong Kong-Zhuhai-Macau Bridge" is generated. Carbon emission calculation quota data for water transport engineering is obtained, as well as supplementary budget quota data for coastal immersed tunnels and artificial island projects in Guangdong Province. For the project item "Waterborne Vibratory Sinking Steel Cylinder," since carbon emission quota data related to this item is not available in the water transport engineering carbon emission calculation quota data, the consumption quota data for various materials, engineering vessels, and labor corresponding to "Waterborne Vibratory Sinking Steel Cylinder" is obtained from the supplementary budget quota data for coastal immersed tunnels and artificial island projects in Guangdong Province. Then, the carbon emission factor data corresponding to the resource consumption is obtained, and the carbon emissions of the project item "Waterborne Vibratory Sinking Steel Cylinder" are calculated using the following formula: Among them, Q Mat,i C is the consumption of the i-th resource. Mat,i It is the carbon emission factor of the i-th resource, k Mat,i is the carbon emission factor correction coefficient for the i-th resource, and E is the carbon emission amount of the project item.

[0051] Figure 3 This is a flowchart illustrating the calculation of carbon emission confidence levels using a rapid estimation model in the multi-mode carbon emission accounting method provided in Embodiment 1 of the present invention. Figure 3 The rapid estimation model for calculating the confidence level of carbon emissions may include the following steps:

[0052] Step 310: Calculate the confidence level of the activity data for the project item based on the bill of quantities and the carbon emission quota data corresponding to the project item.

[0053] For example, activity data can include directly observed data and derived computational data. For directly observed data, which refers to data derived from sensor monitoring, material weighing slips, or on-site measurement records, the activity confidence score CS_AD is calculated using the formula: CS_AD = S_AD × V_AD, where S_AD is the data source score and V_AD is the data verification and validation coefficient. The specific values ​​for both can be found in the table below.

[0054]

[0055] For example, for derived calculation data, which can refer to the quantities of work calculated by combining bill of quantities and quota data, the active confidence level CS_AD is calculated using the formula: CS_AD = CS_BOQ × P_goe, where CS_BOQ is the confidence level of the bill of quantities (95% for as-built bill of quantities and 80% for design bill of quantities). P_goe is a correction factor obtained based on the regional level of the quantity quota. Specific values ​​for P_goe can be found in the table below.

[0056]

[0057]

[0058] For example, for the project item "East Artificial Island Foundation Trench Excavation", since its quantity data is derived calculation data and the bill of quantities is a completed bill of quantities, CS_BOQ is 95. Since the quantity data originates from the data of the project location, P_goe is 1.0. Therefore, the activity confidence of the project item "East Artificial Island Foundation Trench Excavation" is 95%.

[0059] Step 320: Calculate the confidence level of carbon emission quota data based on the carbon emission quota data corresponding to the project item.

[0060] Optionally, the carbon emission quota confidence score (CS_f) can be calculated using the following formula: CS_f = S_f × T_f × P_f × V_f. In the formula, CS_f is the carbon emission quota confidence score, S_f is the source score of the carbon emission quota data, T_f is the timeliness score of the data, P_f is the matching score of the data, and V_f is the data verification and audit score. The matching score P_f can be calculated by weighting the geographical matching coefficient (P_geo) and the technical matching coefficient (P_tech), i.e., P_f = a1 × P_geo + a2 × P_tech. The values ​​of each coefficient S_f, T_f, P_geo, P_tech, and V_f are shown in the table below.

[0061] level describe S_f Project measured level Direct measurement data for this project, local location, and specific batch. 100 Project computing level Data calculated based on the BIM model and construction plan of this project 90 Enterprise benchmark Based on historical data statistics from multiple similar projects within the company. 85 Local standard level Quotas / factors issued by local governments and industry associations that take into account regional characteristics. 80 National standard level Nationally applicable quotas / factors issued by national ministries 75 Literature Research Level Data cited in academic journals and research reports 65 Supplier-provided level Data provided by material or equipment suppliers that has not been verified by a third party. 60 Manual estimation level Data lacking evidence and estimated based on personal experience 40

[0062]

[0063]

[0064]

[0065]

[0066] For example, regarding the project item "Excavation of the foundation trench for the East Artificial Island," since the carbon emission quota data originates from an enterprise-level database, the source score S_f is 85. The carbon emission quota data was released in 2022, so the timeliness coefficient T_f is 0.95. In terms of matching degree, because the carbon emission quota data is a nationally applicable average and does not consider regional specificity, the geographical matching coefficient P_geo is 0.75, while the technical matching coefficient P_tech is 1.0. Furthermore, the data has been verified by the company's internal quality control department, so the verification and audit coefficient V_f is 1.0. Substituting these parameters into the formula CS_f = S_f × T_f × (a1 × P_geo + a2 × P_tech) × V_f, the carbon emission quota confidence level is calculated to be 79.94.

[0067] Step 330: Calculate the confidence level of the carbon emission data of the project item based on the confidence level of the project activity data and the confidence level of the carbon emission quota data.

[0068] For example, after obtaining the activity data confidence level (CS_AD) and the carbon emission quota confidence level (CS_f) through steps 310 and 320 respectively, the final confidence level (CS_Item) of the project item carbon emission data can be calculated by the following weighted formula: CS_Item = ω1·CS_AD + ω2·CS_f, where CS_AD is the activity data confidence level, CS_f is the carbon emission quota data confidence level, ω1 and ω2 are the weights of CS_AD and CS_f respectively, and CS_Item is the confidence level of the project item carbon emission data.

[0069] The above steps can be used to calculate the confidence level data of carbon emissions for engineering items under the rapid estimation model.

[0070] Step 160: If the construction accounting mode is selected, calculate the carbon emissions and confidence level of the project item based on the actual data of resource consumption and the carbon emission factor data corresponding to the resource consumption.

[0071] The construction accounting model is a carbon emission measurement method for precise management and accounting during the project construction phase. This model is based on two core data sources: first, actual resource consumption data recorded during construction; and second, carbon emission factor data corresponding to various resources. Through precise calculation of "resource consumption × carbon emission factor," the true carbon emissions of the project during the construction phase are obtained, meeting the accuracy requirements for process control and final verification.

[0072] Figure 4 This is a flowchart illustrating the calculation of carbon emissions using the construction accounting mode in the multi-mode carbon emission accounting method provided in Embodiment 1 of the present invention. Figure 4 The carbon emission calculation using the construction accounting model may include the following steps:

[0073] Step 410: Obtain the resource consumption data for calculating the required engineering items from the actual resource consumption data.

[0074] Actual resource consumption data refers to the actual resource input incurred during the construction process to complete a specific project item. For example, for the "East Artificial Island of the Hong Kong-Zhuhai-Macau Bridge" project, we obtain the project data and generate a "WBS" for the "East Artificial Island of the Hong Kong-Zhuhai-Macau Bridge". We also obtain carbon emission calculation quota data for waterway engineering and supplementary budget quota data for coastal immersed tunnels and artificial island projects in Guangdong Province. For the project item "installing plastic drainage boards", the actual resource consumption data corresponding to "installing plastic drainage boards" is obtained from the actual resource consumption data as shown in the table below:

[0075]

[0076]

[0077] Step 420: Calculate carbon emissions based on the resource consumption data and the carbon emission factor data corresponding to the resource consumption.

[0078] The carbon emission factor data corresponding to resource consumption represents the carbon dioxide emissions per unit of resource consumption. This data includes carbon emission factor data based on national standards, local standards, and enterprise-defined standards. For example, the following table shows the carbon emission factor data for each unit of resource consumption for the "installation of plastic drainage boards" project:

[0079] Resource consumption categories <![CDATA[Carbon emission factor (kg / m 3 )]]> steel profiles 2310 steel protective pipe 2430 Plastic drainage board 0.25 Plastic drainage board inserter 17.71 artificial 0.73

[0080] Based on the resource consumption data and corresponding carbon emission factor data of the "installation of plastic drainage boards" project, the carbon emissions of the project are calculated using the following formula: Among them, Q Mat,i C is the consumption of the i-th resource. Mat,i It is the carbon emission factor of the i-th resource, k Mat,i is the carbon emission factor correction coefficient for the i-th resource, and E is the carbon emission amount of the project item.

[0081] It should be noted that actual resource consumption data refers to the actual resource input incurred during the construction process to complete a specific project item. However, in specific accounting, there may be situations where actual resource consumption data is not recorded during the construction of a particular project item. Therefore, when obtaining actual resource consumption data for a target project item, it is necessary to first determine whether there are any cases where data cannot be obtained.

[0082] For example, for the "East Artificial Island of the Hong Kong-Zhuhai-Macau Bridge" project, the project data is obtained to generate a WBS for the "East Artificial Island of the Hong Kong-Zhuhai-Macau Bridge". Carbon emission calculation quota data for waterway engineering is obtained, as well as supplementary quota data for the budget of coastal immersed tunnels and artificial islands in Guangdong Province. For the project item "land-based vibratory compaction sand", since no actual data on resource consumption was recorded during construction, carbon emissions are calculated by obtaining resource consumption quota data from the supplementary quota data for the budget of coastal immersed tunnels and artificial islands in Guangdong Province. The calculation formula is as follows:

[0083] Figure 5 This is a flowchart illustrating the calculation of carbon emission confidence levels for the construction accounting mode in the multi-mode carbon emission accounting method provided in Embodiment 1 of the present invention, as shown below. Figure 4 The calculation of carbon emission confidence level using the construction accounting model may include the following steps:

[0084] Step 510: Calculate the confidence level of the activity data for each resource based on the actual data of resource consumption.

[0085] For example, based on the introduction of activity data in step 310, the resource consumption activity data for each resource in this example are all direct observation data, and the formula for calculating the activity confidence level is CS_AD. i =S_AD i ×V_AD i , where S_AD i V_AD is the data source score for the i-th resource. i CS_AD is the review and verification coefficient for the i-th resource. i This represents the confidence score of the activity data for the i-th resource. For example, the confidence scores of the activity data for each resource in the project item "installing plastic drainage boards" are shown in the table below:

[0086] category <![CDATA[CS_AD i ]]> <![CDATA[CS_AD i According to]]> steel profiles 90 Internal audit log steel protective pipe 90 Internal audit log Plastic drainage board 90 Internal audit log Plastic drainage board inserter 100 fuel consumption meter artificial 90 Internal audit log

[0087] Step 520: Calculate the carbon emission factor confidence level for each resource based on the carbon emission factor data corresponding to the resource consumption.

[0088] Optional, carbon emission factor confidence level (CS_f) i CS_f can be calculated using the following formula: i =S_f i ×T_f i ×P_f i ×V_f i In the calculation formula, S_f i T_f is the data source score for the i-th resource. i P_f is the data timeliness score of the i-th resource.i V_f is the data matching score of the i-th resource. i It is the verification and audit score of the i-th resource, CS_f i is the confidence score of the carbon emission factor for the i-th resource. Wherein, the matching score P_f i It can be determined by the geographic matching coefficient (P_geo) i ) and technology matching coefficient (P_tech i The weighted calculation is obtained.

[0089] For example, the confidence levels of the carbon emission factors for each resource for the project item "installation of plastic drainage boards" are shown in the table below:

[0090]

[0091] Step 530: Calculate the confidence level of the consumption data for each resource based on the confidence level of the activity data for each resource and the confidence level of the carbon emission factor for each resource.

[0092] For example, the activity data confidence level (CS_AD) for each resource is obtained through steps 510 and 520 respectively. i ) and confidence level of carbon emission quotas (CS_f) i After that, the final confidence level (CS_Item) of the carbon emission data for the project item. i The weighted average can be calculated using the following formula: CS_Item i =ω1·CS_AD i +ω2·CS_f i , where CS_AD i It is the confidence score of the activity data for each resource, CS_f i These are the confidence scores of the carbon emission factor for each resource, where ω1 and ω2 are the confidence scores of CS_AD. i and CS_f i The weight, CS_Item i The confidence level for each resource consumption data item is specified. For example, the confidence levels for each resource effect data item are shown in the table below for the project item "installing plastic drainage boards":

[0093] category <![CDATA[CS_AD i ]]> <![CDATA[CS_f i ]]> <![CDATA[CS_Item i (ω1=ω2=0.5)]]> steel profiles 90 74.69 82.345 steel protective pipe 90 66.21 78.105 Plastic drainage board 90 77.52 83.76 Plastic drainage board inserter 100 77.52 88.76 artificial 90 77.52 83.76

[0094] Step 540: Calculate the confidence level of the carbon emission data of the project item based on the confidence level of each resource consumption data, the resource consumption amount data, and the carbon emission factor data corresponding to the resource consumption activities.

[0095] For example, after obtaining the confidence level of each resource consumption data through steps 410, 420, and 530 respectively, the confidence level of the carbon emission data of the project item is calculated based on the carbon emission factor data corresponding to each resource consumption data and resource consumption activity. The calculation formula is as follows: Among them CS_Item i Let CS_project be the confidence level of the i-th resource consumption data, and let CS_project be the confidence level of the carbon emission data for the project item. For example, for the project item "installing plastic drainage boards", according to the confidence level calculation formula for the carbon emission data of the project item, the confidence level of the carbon emission data for the project item "installing plastic drainage boards" is calculated to be 79.15.

[0096] Step 170: If the quality optimization mode is selected, first calculate the confidence level of all candidate data in the carbon emission factor data corresponding to the resource consumption, and calculate the carbon emission and confidence level of the project item based on the data with high confidence.

[0097] The Quality Optimization Model is a refined carbon emission accounting method oriented towards data selection and result optimization. This model is based on detailed resource consumption data recorded during the construction phase, along with multiple candidate carbon emission factor datasets. Through system comparison and screening, it prioritizes the carbon emission factors with the highest confidence levels. Combined with the calculation method of "resource consumption × preferred carbon emission factor," it yields more reliable carbon emission results for engineering projects, making it suitable for carbon accounting and verification scenarios with high data quality requirements.

[0098] For example, for the "East Artificial Island of the Hong Kong-Zhuhai-Macau Bridge" project, the project data is obtained, and a WBS for the "East Artificial Island of the Hong Kong-Zhuhai-Macau Bridge" is generated. Carbon emission calculation quota data for waterway engineering is obtained, as well as supplementary budget quota data for coastal immersed tunnels and artificial island projects in Guangdong Province. Specifically, this example only illustrates one resource in a certain project item: "42.5 grade cement." The carbon emission factor data for this resource has two sources: project-level data and industry-level data. Based on the carbon emission factor confidence calculation method described in step 520, the confidence calculation results for the two data sources are shown in the table below:

[0099] hierarchy carbon emission factors CS_f S_f T_f P_geo P_tech V_f Project level 920.03 82.76 80 0.95 0.75 1.05 1.1 Industry level 792 79.94 85 0.95 0.75 1.05 1

[0100] As shown in the comparison results in the table above, the carbon emission factors from project-level data sources have higher confidence levels. Therefore, high-confidence data will be adopted to calculate the carbon emissions of the project items and their confidence levels. This calculation follows the method in step 160, "Construction Accounting Model," and the specific process will not be elaborated here.

[0101] This embodiment generates a bill of quantities for the total project by acquiring overall project data; based on the bill of quantities, it generates actual resource consumption data for each project item; it acquires resource consumption quota data, carbon emission quota data, and carbon emission factor data corresponding to the resource consumption for each project item; it obtains the user's selection mode instruction, which includes a quick estimation mode, a construction calculation mode, and a quality optimization mode; if the quick estimation mode is selected, the carbon emission and confidence level of the project item are calculated based on the bill of quantities and the carbon emission quota data corresponding to the project item; if the construction calculation mode is selected, the carbon emission and confidence level of the project item are calculated based on the actual resource consumption data and the carbon emission factor data corresponding to the resource consumption; if the quality optimization mode is selected, the confidence level of all candidate data in the carbon emission factor data corresponding to the resource consumption is first calculated, and the carbon emission and confidence level of the project item are calculated based on the data with high confidence. By selecting diversified calculation modes, the problem of limited applicability is overcome. Simultaneously, by introducing multi-mode confidence levels, the comprehensiveness and reliability of the calculation results are ensured from both data and calculation method dimensions.

[0102] Example 2

[0103] Figure 6 This is a schematic diagram of the multi-mode carbon emission accounting system provided in Embodiment 2 of the present invention, as shown below. Figure 6 As shown, the system includes:

[0104] The first acquisition module 610 is used to acquire total project data and generate a bill of quantities for the total project.

[0105] The generation module 620 is used to generate actual data on resource consumption for each project item based on the bill of quantities.

[0106] The second acquisition module 630 is used to acquire resource consumption quota data, carbon emission quota data, and carbon emission factor data corresponding to the project item.

[0107] Instruction module 640 is used to obtain the user's selection mode instruction, the mode including quick estimation mode, construction calculation mode and quality optimization mode;

[0108] The fast estimation mode calculation module 650 is used to calculate the carbon emissions and confidence level of the project item based on the bill of quantities and the carbon emission quota data corresponding to the project item if the fast estimation mode is selected.

[0109] The construction accounting mode calculation module 660 is used to calculate the carbon emissions and confidence level of the project item based on the actual data of resource consumption and the carbon emission factor data corresponding to the resource consumption if the construction accounting mode is selected.

[0110] The quality optimization mode calculation module 670 is used to first calculate the confidence level of all candidate data in the carbon emission factor data corresponding to the resource consumption, and calculate the carbon emission and confidence level of the project item based on the data with high confidence.

[0111] This embodiment provides a multi-mode carbon emission accounting system. It acquires total project data and generates a bill of quantities for the entire project. Based on the bill of quantities, it generates actual resource consumption data for each project item. It acquires resource consumption quota data, carbon emission quota data, and carbon emission factor data corresponding to the resource consumption for each project item. It also acquires user selection mode instructions, including a quick estimation mode, a construction calculation mode, and a quality optimization mode. If the quick estimation mode is selected, the system calculates the carbon emission amount and confidence level of the project item based on the bill of quantities and the corresponding carbon emission quota data. If the construction calculation mode is selected, the system calculates the carbon emission amount and confidence level of the project item based on the actual resource consumption data and the corresponding carbon emission factor data. If the quality optimization mode is selected, the system first calculates the confidence level of all candidate data in the carbon emission factor data corresponding to the resource consumption, and then calculates the carbon emission amount and confidence level of the project item based on the data with high confidence. By selecting multiple calculation modes, the system overcomes the problem of limited applicability. Meanwhile, by introducing multi-mode confidence, the comprehensiveness and credibility of the accounting results are ensured from both data and calculation method dimensions.

[0112] Based on the above embodiments, the fast estimation pattern calculation module includes:

[0113] The conversion unit is used to obtain the carbon emission quota of the required project item from the carbon emission quota data corresponding to the project item, and convert the carbon emission quota of the project item into the carbon emission factor of the project item.

[0114] A rapid estimation mode carbon emission calculation unit is used to calculate the carbon emission of the project item based on the carbon emission factor and the quantity of the project item.

[0115] The rapid estimation mode judgment unit is used to determine whether the carbon emission quota of the project item to be calculated can be obtained from the carbon emission quota data corresponding to the project item. If the carbon emission quota of the project item to be calculated cannot be obtained, the resource consumption quota data of the project item to be calculated is obtained from the resource consumption quota data according to the name of the project item, and the carbon emission of the project item is calculated based on the resource consumption quota data and the carbon emission factor data corresponding to the resource consumption.

[0116] The rapid estimation mode confidence calculation unit is used to calculate the confidence level of the project item activity data based on the bill of quantities and the carbon emission quota data corresponding to the project item, calculate the confidence level of the carbon emission quota data based on the carbon emission quota data corresponding to the project item, and calculate the confidence level of the project item carbon emission data based on the confidence level of the project item activity data and the confidence level of the carbon emission quota data.

[0117] Based on the above embodiments, the construction calculation mode calculation module includes:

[0118] The carbon emission calculation unit of the construction accounting mode is used to obtain the resource consumption data of the engineering items required for calculation from the actual resource consumption data, and calculate the carbon emission based on the resource consumption data and the carbon emission factor data corresponding to the resource consumption.

[0119] The construction calculation mode judgment unit is used to determine whether the resource consumption data of the project item to be calculated can be obtained from the actual resource consumption data. If the resource consumption data of the project item to be calculated cannot be obtained, the resource consumption data of the project item to be calculated is obtained from the resource consumption quota data according to the name of the project item, and the carbon emission of the project item is calculated based on the resource consumption data and the carbon emission factor data corresponding to the resource consumption.

[0120] The construction accounting mode confidence calculation unit is used to calculate the confidence level of activity data for each resource based on the actual data of resource consumption, calculate the confidence level of carbon emission factor for each resource based on the carbon emission factor data corresponding to the resource consumption, calculate the confidence level of each resource consumption data based on the confidence level of activity data and the confidence level of carbon emission factor for each resource, and calculate the confidence level of carbon emission data for the project item based on the confidence level of each resource consumption data, the data of each resource consumption, and the carbon emission factor data corresponding to the resource consumption activities.

[0121] Based on the above embodiments, the quality optimization mode calculation module includes:

[0122] The carbon emission calculation unit of the quality optimization mode is used to find all candidate carbon emission factor data of the required project item based on the carbon emission factor data corresponding to the resource consumption, calculate the confidence level of all candidate carbon emission factor data, obtain the carbon emission factor data with the highest confidence level, and calculate the carbon emission of the project item based on the actual resource consumption data and the carbon emission factor data with the highest confidence level.

[0123] The quality optimization mode confidence calculation unit is used to calculate the confidence level of activity data for each resource based on the actual data of resource consumption, calculate the confidence level of carbon emission factor for each resource based on the carbon emission factor data corresponding to the resource consumption, calculate the confidence level of resource consumption data based on the confidence level of activity data and the confidence level of carbon emission factor for each resource, and calculate the confidence level of carbon emission data for the project item based on the confidence level of each resource consumption data, the data of each resource consumption, and the carbon emission factor data corresponding to the resource consumption activities.

[0124] The multi-mode carbon emission accounting system provided in this embodiment of the invention can execute the multi-mode carbon emission accounting method provided in any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the method.

[0125] Note that the above description is merely a preferred embodiment of the present invention and the technical principles employed. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described herein, and various obvious changes, readjustments, and substitutions can be made without departing from the scope of protection of the present invention. Therefore, although the present invention has been described in detail through the above embodiments, the present invention is not limited to the above embodiments, and may include many other equivalent embodiments without departing from the concept of the present invention, the scope of which is determined by the scope of the appended claims.

Claims

1. A multi-mode carbon emission accounting method, characterized in that, include: Obtain the total project data and generate the bill of quantities for the total project. Based on the bill of quantities, generate actual data on resource consumption for each project item; Obtain the resource consumption quota data, carbon emission quota data, and carbon emission factor data corresponding to the resource consumption for each project item. Obtain the user's selection mode instruction, which includes a quick estimation mode, a construction calculation mode, and a quality optimization mode; If the quick estimation mode is selected, the carbon emissions and confidence level of the project item are calculated based on the bill of quantities and the carbon emission quota data corresponding to the project item. If the construction accounting mode is selected, the carbon emissions and confidence level of the project item are calculated based on the actual data of resource consumption and the carbon emission factor data corresponding to the resource consumption. If the quality optimization mode is selected, the confidence level of all candidate data in the carbon emission factor data corresponding to the resource consumption is first calculated, and the carbon emission amount and confidence level of the project item are calculated based on the data with high confidence.

2. The method according to claim 1, characterized in that, If the rapid estimation mode is selected, the carbon emissions and confidence level of the project items are calculated based on the bill of quantities and the corresponding carbon emission quota data, including: The bill of quantities includes the codes for each level of the total project, the name of each item, the unit of measurement, and the quantity of each item. Obtain the carbon emission quota for the required project from the carbon emission quota data corresponding to the project item, and convert the carbon emission quota of the project item into the carbon emission factor of the project item. The calculation formula is as follows: Among them, E DE This is carbon emission quota data; Unit is the unit of measurement, C. q It is carbon emission factor data; The carbon emissions of the project item are calculated based on its carbon emission factor and quantity, using the following formula: E = Q × C × k Where Q is the quantity of work, C is the carbon emission factor data, k is the correction coefficient for the carbon emission factor, and E is the carbon emission of the work item.

3. The method according to claim 2, characterized in that, If the rapid estimation mode is selected, the calculation of the carbon emissions and confidence level of the project items based on the bill of quantities and the corresponding carbon emission quota data of the project items also includes: Determine whether the carbon emission quota for the project item required for calculation can be obtained from the carbon emission quota data corresponding to the project item; If the carbon emission quota for the project item required for the calculation cannot be obtained, the resource consumption quota data for the project item required for the calculation shall be obtained from the resource consumption quota data according to the name of the project item. The carbon emissions of the project item are calculated based on the resource consumption quota data and the corresponding carbon emission factor data. The calculation formula is as follows: Among them, Q Mat,i C is the consumption of the i-th resource. Mat,i It is the carbon emission factor of the i-th resource, k Mat,i is the carbon emission factor correction coefficient for the i-th resource, and E is the carbon emission amount of the project item.

4. The method according to claim 2, characterized in that, If the rapid estimation mode is selected, the calculation of the carbon emissions and confidence level of the project items based on the bill of quantities and the corresponding carbon emission quota data of the project items also includes: The confidence level of the project item activity data is calculated based on the bill of quantities and the corresponding carbon emission quota data for each project item, using the following method: CS_AD = CS_BOQ × P_goe Wherein, CS_BOQ is the confidence level of the bill of quantities, P_goe is the correction coefficient obtained based on the regional matching degree of carbon emission quota data, and CS_AD is the confidence level of the activity data of the project item. The confidence level of carbon emission quota data is calculated based on the carbon emission quota data corresponding to the project items, using the following method: CS_f = S_f × T_f × P_f × V_f Where S_f is the data source score, T_f is the data timeliness score, P_f is the data matching score, V_f is the verification and audit score, and CS_f is the confidence level of carbon emission quota data; The confidence level of carbon emission data for a project item is calculated based on the confidence levels of project activity data and carbon emission quota data, using the following formula: CS_Item=ω1·CS_AD+ω2·CS_f Wherein, CS_AD is the confidence level of the project activity data, CS_f is the confidence level of the carbon emission quota data, ω1 and ω2 are the weights of CS_AD and CS_f respectively, and CS_Item is the confidence level of the carbon emission data of the project item.

5. The method according to claim 2, characterized in that, If the construction accounting mode is selected, the carbon emissions and confidence level of the project item are calculated based on the actual resource consumption data and the corresponding carbon emission factor data, including: Obtain the resource consumption data for the required engineering items from the actual resource consumption data; Carbon emissions are calculated based on the resource consumption data and the corresponding carbon emission factor data, using the following formula:

6. The method according to claim 5, characterized in that, If the construction accounting mode is selected, the calculation of the carbon emissions and confidence level of the project item based on the actual resource consumption data and the carbon emission factor data corresponding to the resource consumption also includes: Determine whether the resource consumption data of the engineering item required for the calculation can be obtained from the actual resource consumption data; If the resource consumption data of the project item required for the calculation cannot be obtained, the resource consumption data of the project item required for the calculation shall be obtained from the resource consumption quota data according to the name of the project item. The carbon emissions of the project item are calculated based on the resource consumption data and the corresponding carbon emission factor data, using the following formula:

7. The method according to claim 5, characterized in that, If the quality optimization mode is selected, the confidence level of all candidate data in the carbon emission factor data corresponding to the resource consumption is first calculated. Based on the data with high confidence levels, the carbon emissions and confidence level of the project item are calculated, including: Based on the carbon emission factor data corresponding to the resource consumption, find all candidate carbon emission factor data for the required engineering item; Calculate the confidence level of all candidate carbon emission factor data and obtain the carbon emission factor data with the highest confidence level; The carbon emissions of the project are calculated based on the actual data of resource consumption and the carbon emission factor data with the highest confidence level, using the following formula: Among them, C g,Mat,i It is the carbon emission factor with the highest confidence among all candidate data for the i-th resource, and E is the carbon emission of the project item.

8. The method according to claim 7, characterized in that, The calculation of the confidence level of all candidate carbon emission factor data to obtain the carbon emission factor data with the highest confidence level includes: The confidence level of all candidate carbon emission factor data is calculated in the following manner: CS_f j =S_f j ×T_f j ×P_f j ×V_f j Among them, S_f j It is the source score of the j-th data point, T_f j P_f is the timeliness score of the j-th data point. j V_f is the matching score of the j-th data point. j It is the verification and audit score of the j-th data; Compare the confidence levels of all candidate carbon emission factor data and find the carbon emission factor data with the highest confidence level.

9. The method according to claim 5, characterized in that, If the construction accounting mode is selected, the carbon emissions and confidence level of the project item are calculated based on the actual resource consumption data and the carbon emission factor data corresponding to the resource consumption. If the quality optimization mode is selected, the confidence level of all candidate data in the carbon emission factor data corresponding to the resource consumption is first calculated, and the carbon emissions and confidence level of the project item are calculated based on the data with high confidence levels. Both also include: Based on the actual data of resource consumption, the confidence level of the activity data for each resource is calculated using the following formula: CS_AD i =S_AD i ×V_AD i Among them, S_AD i V_AD is the data source score for the i-th resource. i CS_AD is the review and verification coefficient for the i-th resource. i It is the confidence level of the activity data of the i-th resource; The carbon emission factor confidence score for each resource is calculated based on the carbon emission factor data corresponding to the resource consumption, using the following formula: CS_f i =S_f i ×T_f i ×P_f i ×V_f i , where S_f i T_f is the data source score for the i-th resource. i P_f is the data timeliness score of the i-th resource. i V_f is the data matching score of the i-th resource. i It is the verification and audit score of the i-th resource, CS_f i It is the confidence level of the carbon emission factor for the i-th resource; The confidence level of each resource's consumption data is calculated based on the confidence level of its activity data and the confidence level of its carbon emission factor, using the following method: CS_Item i =ω1·CS_AD i +ω2·CS_f i Among them, CS_AD i It is the confidence level of the activity data for each resource, CS_f i It represents the carbon emission factor confidence level for each resource, where ω1 and ω2 are the weights of CS_AD and CS_f, respectively, and CS_Item i Assign confidence level to each resource consumption data item; The confidence level of the carbon emission data for each project item is calculated based on the confidence level of each resource consumption data item, the resource consumption amount data, and the carbon emission factor data corresponding to the resource consumption activities, using the following formula: Among them CS_Item i CS_project represents the confidence level of the i-th resource consumption data and the confidence level of the carbon emission data of the project item.

10. A multi-mode carbon emission accounting system, characterized in that, include: The first acquisition module is used to acquire total project data and generate a bill of quantities for the total project. The generation module is used to generate actual data on resource consumption for each project item based on the bill of quantities. The second acquisition module is used to acquire resource consumption quota data, carbon emission quota data, and carbon emission factor data corresponding to the project items. The instruction module is used to obtain the user's selection mode instruction, which includes a quick estimation mode, a construction calculation mode, and a quality optimization mode. The fast estimation mode calculation module is used to calculate the carbon emissions and confidence level of the project item based on the bill of quantities and the carbon emission quota data corresponding to the project item if the fast estimation mode is selected. The construction accounting mode calculation module is used to calculate the carbon emissions and confidence level of the project item based on the actual data of resource consumption and the carbon emission factor data corresponding to the resource consumption if the construction accounting mode is selected. The quality optimization mode calculation module is used to first calculate the confidence level of all candidate data in the carbon emission factor data corresponding to the resource consumption, and then calculate the carbon emission and confidence level of the project item based on the data with high confidence.

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