A circulating park full-link carbon emission and carbon reduction quantification accounting system

Abstract

The application provides a circulating park full-link carbon emission and carbon reduction quantification accounting system, relates to the technical field of carbon emission monitoring and data processing, and realizes the collaborative quantification of the carbon emission of multiple links such as raw materials, transportation and electricity utilization by constructing a unified factor mapping table through the synchronous collection and standardized processing of multi-source data such as the raw material input of the park, logistics transportation, energy use and recycling of construction waste. On this basis, the full-link emission intensity is calculated, and the net value is corrected in combination with the recycling substitution emission reduction benefit to form a net emission correction intensity evaluation index. The system triggers a multi-dimensional collaborative control strategy through threshold comparison, supports recycling recalculation and parameter backtracking, constructs a closed-loop optimization mechanism, and thus realizes fine evaluation and dynamic optimization management of the carbon emission and carbon reduction effect of the park.

Description

Technical Field

[0001] This invention relates to the field of carbon emission monitoring and data processing technology, specifically a full-chain carbon emission and carbon reduction quantitative accounting system for circular economy parks. Background Technology

[0002] Industrial parks, industrial clusters, and construction industry clusters serve as concentrated carriers of energy consumption and carbon emissions, making carbon emission accounting and reduction management a crucial research area in the current field of energy conservation and emission reduction. These parks typically contain multiple carbon emission sources, including centralized raw material procurement and processing, multi-path logistics transportation, multi-energy-structure electricity consumption, and the generation and disposal of construction waste. The emission chains are complex, and data sources are scattered, making traditional single-stage or static statistical carbon accounting methods insufficient to meet the needs of refined management and dynamic decision-making.

[0003] Existing carbon emission accounting technologies for industrial parks are mostly based on annual or quarterly statistical data, focusing on accounting for single emission sources (such as energy consumption or production process emissions). They lack unified dimensional integration and unit output normalization of emissions from multiple links, such as raw material production emissions, transportation emissions, and electricity consumption emissions, making it difficult to accurately reflect the emission intensity level under the overall operation of the industrial park. At the same time, existing methods often treat the recycling of construction waste as an independent emission reduction statistical item, failing to establish a substitution relationship model between it and emissions from the production of virgin materials. This results in the carbon reduction effect of recycling being unable to be effectively quantified and assessed.

[0004] Furthermore, in existing technologies, carbon emission assessment results are mostly limited to qualitative judgments of "whether or not the emission limits are exceeded," lacking the ability to further break down the emission results into controllable parameters. This makes it difficult to provide park managers with clear adjustment directions and actionable optimization strategies. In particular, when it comes to raw material substitution, energy structure adjustment, and optimization of recycling processes, there is a lack of collaborative analysis mechanisms based on quantitative coefficients, resulting in a lack of closed-loop feedback between emission reduction measures and actual emission improvement effects. Summary of the Invention

[0005] The purpose of this invention is to provide a full-chain carbon emission and carbon reduction quantitative accounting system for circular economy parks, so as to solve the problems mentioned in the background art.

[0006] To achieve the above objectives, the present invention provides the following technical solution:

[0007] A system for quantitative accounting of carbon emissions and carbon reduction across the entire supply chain of a circular economy industrial park includes:

[0008] The data acquisition module is configured to simultaneously collect various carbon emission and emission reduction related data involved in the operation of the park, including raw material input, logistics and transportation, energy use and construction waste recycling, and to obtain raw material data, transportation data, electricity energy structure data and construction waste recycling data.

[0009] The data processing module, connected to the data acquisition module, is configured to perform timestamp alignment, multi-source fusion, unit normalization, and parameter mapping on the acquired multi-source data, establish a standardized parameter set, and construct a unified factor mapping table for the park.

[0010] The whole-chain emission intensity assessment module is configured to calculate the multi-chain emission component coefficients of the park based on a standardized parameter set, and perform unit output normalization to obtain the whole-chain emission intensity coupling coefficient, and compare it with the preset emission intensity threshold; when the emission intensity exceeds the limit, it triggers a coordinated adjustment strategy for the raw material usage structure, transportation organization method and energy structure configuration.

[0011] The recycling and substitution carbon reduction contribution analysis module is configured to quantify the substitution emission reduction benefits generated by the resource utilization of construction waste in the park and the additional emissions from the recycling process, construct the recycling and substitution carbon reduction contribution coefficient, and compare and evaluate it with the preset contribution threshold. When the carbon reduction contribution is insufficient, a coordinated adjustment strategy is triggered for the percentage of resource utilization, recycling energy consumption level, and raw material substitution structure, and the adjustment parameters are recorded and traced back.

[0012] The net emission correction intensity comprehensive assessment module is configured to perform net value correction and unit output normalization calculation on the emission intensity of the entire chain and the carbon reduction contribution of recycling substitution, construct the net emission correction intensity coefficient, and compare and evaluate it with the preset threshold. When the correction intensity is unbalanced, the material substitution ratio, resource utilization ratio and recycling energy consumption level are adjusted in a linked manner, and the calculation is repeated to form a closed-loop optimization mechanism.

[0013] Furthermore, the data acquisition module includes a raw material acquisition unit, a transportation data acquisition unit, an electrical energy structure acquisition unit, and a construction waste recycling acquisition unit;

[0014] The raw material acquisition unit is used to monitor the raw material input process in the park in real time and collect raw material data; by installing raw material metering equipment and batch identification devices at the raw material entry point in the park, it collects data on the material type, quantity, and batch usage of raw materials; by installing usage metering equipment at the raw material input location in each production process, it collects the actual output of different raw materials within the accounting cycle; and by calling the corresponding emission factor database in the raw material information management terminal, it collects carbon emission factor data corresponding to various raw materials in the production stage and obtains the raw material production emission factors.

[0015] The transportation data acquisition unit is used to monitor the raw material logistics transportation process in real time and collect transportation data; by installing positioning devices and trip recording devices on transportation vehicles, it collects transportation distance data during the transportation process of various raw materials; by installing transportation load acquisition devices at logistics transportation nodes, it collects single transportation load and corresponding transportation frequency data; it records the transportation tool type in the transportation mode management system and retrieves the corresponding unit transportation carbon emission factor data based on the transportation mode to obtain the transportation emission factor;

[0016] The electricity consumption structure acquisition unit is used to monitor the overall electricity consumption behavior of the park in real time and collect electricity consumption structure data. By installing sub-item electricity metering devices in the production area, auxiliary area and public area of ​​the park, the electricity consumption data of each area is collected. Power source identification devices are installed at the power access point and power switching node of the park to distinguish and collect the electricity consumption of conventional grid power, purchased green power and park self-generated photovoltaic power. The energy management system calls the benchmark emission factor database of the corresponding power source to collect the benchmark emission factor data corresponding to each type of power source, and obtains the benchmark emission factor of conventional grid power, the benchmark emission factor of purchased green power and the benchmark emission factor of park self-generated photovoltaic power.

[0017] The construction waste recycling collection unit is used to monitor the generation and disposal process of construction waste in the park in real time and collect data on construction waste recycling; by installing mass measurement equipment at construction waste generation points and centralized collection points, it collects data on the amount of construction waste utilized as a resource; by installing energy consumption and emission monitoring equipment in the construction waste recycling, transportation and reprocessing links, it collects energy consumption data and emission data in the relevant processes; and by calling the production carbon emission factor database of the replaced original building materials in the material substitution management system, it collects the corresponding production carbon emission factor data and obtains the building material substitution emission reduction factor.

[0018] Furthermore, the data processing module is used to reconstruct the time scale of data from different sources and sampling frequencies under a unified accounting period based on data collected by the raw material collection unit, transportation data collection unit, electricity energy structure collection unit, and construction waste recycling collection unit. It employs timestamp alignment and multi-source data fusion processing methods. Simultaneously, it uses unit normalization and parameter mapping processing methods to perform unified dimensional conversion on the collected data and establish a standardized parameter set. By constructing a unified mapping relationship, it structurally associates raw material production emission factors, transportation emission factors, various electricity benchmark emission factors, and building material substitution emission reduction factors to form a unified factor mapping table for the park.

[0019] Furthermore, the end-to-end emission intensity assessment module includes a multi-source emission component coefficient calculation unit, an end-to-end emission intensity calculation unit, and a first analysis unit;

[0020] The multi-source emission factor calculation unit is used to extract batch usage data, transportation distance data, transportation frequency data, conventional grid electricity, purchased green electricity, and self-generated photovoltaic power from the standardized parameter set, as well as the actual output. It combines the raw material production emission factor, transportation emission factor, conventional grid electricity benchmark emission factor, purchased green electricity benchmark emission factor, and self-generated photovoltaic power benchmark emission factor from the park's unified factor mapping table. After dimensionless processing, the raw material emission factor, electricity consumption emission factor, and transportation emission factor are calculated and obtained respectively.

[0021] Furthermore, the full-link emission intensity calculation unit is used to calculate the full-link emission intensity coupling coefficient by combining the raw material emission coefficient, electricity emission coefficient and transportation emission coefficient obtained by calculation with the actual output and after dimensionless processing.

[0022] Furthermore, the first analysis unit is used to obtain a first evaluation result by setting a preset emission intensity threshold and comparing the whole-link emission intensity coupling coefficient with the emission intensity threshold, including:

[0023] When the whole-chain emission intensity coupling coefficient is less than or equal to the emission intensity threshold, it indicates that the carbon emission intensity of the park's output is qualified and will be continuously monitored.

[0024] When the whole-link emission intensity coupling coefficient is greater than the emission intensity threshold, it indicates that the carbon emission intensity of the park's output is unqualified and there is a risk of exceeding the carbon emission limit, triggering the first warning instruction and generating the first strategy: uniformly adjust the raw material usage parameter, introduce preset material substitution rules, and replace or reduce the amount of raw materials used; reconstruct the transportation distance parameter and transportation frequency parameter, and reconfigure the transportation route combination and transportation execution frequency according to preset transportation organization rules; structurally adjust the electricity consumption parameter, reduce the conventional grid electricity consumption parameter, and introduce clean energy electricity parameters according to preset proportions; after adjustment, recalculate until the whole-link emission intensity coupling coefficient is less than or equal to the emission intensity threshold.

[0025] Furthermore, the circular substitution carbon reduction contribution analysis module includes a circular substitution emission reduction and treatment emission sub-item calculation unit, a circular substitution carbon reduction contribution coefficient calculation unit, and a second analysis unit;

[0026] The recycling substitution emission reduction and treatment emission sub-item calculation unit is used to extract resource utilization data, energy consumption data, batch usage data, energy consumption data and emission data from the standardized parameter set, and combine them with the building material substitution emission reduction factor and raw material production emission factor in the park's unified factor mapping table. After dimensionless processing, the recycling substitution emission reduction coefficient and recycling treatment emission coefficient are calculated respectively.

[0027] Furthermore, the circular substitution carbon reduction contribution coefficient calculation unit is used to calculate the circular substitution emission reduction coefficient and the circular treatment emission coefficient obtained by calculation, and after dimensionless processing, to obtain the circular substitution carbon reduction contribution coefficient.

[0028] The second analysis unit is used to obtain a second evaluation result by comparing the carbon reduction contribution coefficient of the circular substitution with the carbon reduction contribution threshold by setting a preset threshold:

[0029] When the carbon reduction contribution coefficient of recycling is greater than or equal to the carbon reduction contribution threshold of recycling, it indicates that the carbon reduction contribution of recycling in the park is qualified and will be continuously monitored.

[0030] When the carbon reduction contribution coefficient of recycling is less than the carbon reduction contribution threshold of recycling, it indicates that the carbon reduction contribution of recycling in the park is not up to standard and there is a risk of insufficient carbon reduction offset. This triggers a second early warning instruction and generates a second strategy: increase the resource utilization parameter of construction waste by 10%–30% to increase the scale of recycling materials replacing virgin materials; reduce the energy consumption parameter of the recycling process by 5%–15% to reduce the additional emissions generated during the recycling process; reduce the input of virgin materials according to the preset material substitution mapping rules and introduce recycling materials in proportion, with a substitution ratio of 5%–20% for the batch usage data of raw materials; and record the corresponding recycling increase ratio, energy consumption reduction ratio, and material substitution ratio parameters.

[0031] Furthermore, the net emission correction intensity comprehensive assessment module includes a net emission correction amount calculation unit, an output net emission correction intensity coefficient calculation unit, and a third analysis unit;

[0032] The net emission correction calculation unit is used to perform net value correction processing on emission intensity by using the whole-link emission intensity coupling coefficient and the circular substitution carbon reduction contribution coefficient, and adopting the emission-emission reduction linear correction and unit output consistency processing method to calculate and obtain the park's net emission correction parameters.

[0033] The net emission correction intensity coefficient calculation unit is used to calculate the net emission correction intensity coefficient by obtaining the net emission correction parameters of the park, combining them with the actual output, and performing dimensionless processing.

[0034] Furthermore, the third analysis unit is used to obtain a third assessment result by setting a preset net emission intensity threshold and comparing the net emission correction intensity coefficient with the net emission intensity threshold, including:

[0035] When the net emission correction intensity factor is less than or equal to the net emission intensity threshold, it indicates that the correction relationship between the emission intensity across the entire chain and the carbon reduction contribution of recycling is effectively coordinated and should be continuously monitored.

[0036] When the net emission correction intensity coefficient exceeds the net emission intensity threshold, it indicates that the coordination between the overall emission intensity and the carbon reduction contribution of recycling is ineffective, posing a risk of comprehensive correction imbalance. This triggers a third early warning instruction and generates a third strategy: Based on the functional mapping relationship between the net emission correction intensity coefficient and the raw material emission coefficient, the recycling emission reduction coefficient, and the recycling treatment emission coefficient, a coefficient composition decomposition and sensitivity backtracking analysis method is used to decompose and analyze the composition sources of the net emission correction intensity coefficient, identify the contribution ratio of each emission and emission reduction sub-coefficient to the net emission correction intensity, and obtain the composition relationship among the raw material emissions, recycling emission reduction, and recycling treatment emissions; based on the composition relationship, relevant strategy parameters are collaboratively corrected according to a preset proportional adjustment rule, including:

[0037] The material substitution ratio parameter corresponding to the batch usage of raw materials will be increased by 10%–25% to raise the proportion of recycled materials in raw material input; the resource utilization parameter of construction waste will be increased by 15%–35% to enhance the correction effect of recycling on net emissions; the energy consumption parameter in the recycling process will be reduced by 10%–25% to reduce the negative impact of recycling on the net emission correction intensity; after adjustment, the calculation will be recalculated until the net emission correction intensity coefficient is ≤ net emission intensity threshold.

[0038] Compared with the prior art, the beneficial effects of the present invention are:

[0039] This invention constructs the full-chain emission intensity coupling coefficient CEIC by simultaneously collecting data on key links such as raw material input, logistics and transportation, energy use and construction waste recycling, unified factor mapping and unit output normalization. It realizes comprehensive quantification and comparative evaluation of different emission sources under the same dimension and the same accounting cycle, avoiding the problems of incomparable indicators and unclear boundaries in traditional decentralized accounting methods, and significantly improving the completeness, accuracy and engineering applicability of carbon emission accounting in industrial parks.

[0040] This invention also constructs a recycling substitution emission reduction coefficient Ksub, a recycling treatment emission coefficient Kproc, and a recycling substitution carbon reduction contribution coefficient BCRC. This allows for the simultaneous quantification and offsetting analysis of the substitution emission reduction benefits brought about by the resource utilization of construction waste and the additional emissions generated during the recycling process. This objectively reflects the true carbon reduction contribution of recycling behavior. Furthermore, when the contribution is insufficient, a percentage-based collaborative adjustment strategy is triggered, effectively avoiding the shortcomings of existing technologies where recycling is only at the level of qualitative description or single-item statistics.

[0041] This invention also introduces the Net Emission Correction Intensity Coefficient (NEIC) to adjust the net value of the emission intensity across the entire chain and the carbon reduction contribution of recycling and substitution, making it consistent with the unit output. When the threshold is exceeded, a coefficient composition decomposition and sensitivity backtracking analysis method is used to clarify the composition relationship of raw material emissions, recycling and substitution emission reduction, and recycling and treatment emissions in net emissions. This guides the linkage adjustment of material substitution ratio, resource utilization ratio, and recycling and treatment energy consumption level, realizing closed-loop optimization control of "assessment-early warning-adjustment-recalculation", significantly improving the pertinence, feasibility, and continuous optimization capability of carbon reduction decisions in the park. Attached Figure Description

[0042] Figure 1 This is a schematic diagram illustrating the execution of the core logic flow nodes of the overall system of the present invention;

[0043] Figure 2 This is a schematic diagram of the overall system flow and technical route of the present invention. Detailed Implementation

[0044] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0045] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0046] Example 1:

[0047] Please see Figures 1 to 2 This invention provides a technical solution: a full-chain carbon emission and carbon reduction quantitative accounting system for circular economy parks, comprising:

[0048] The data acquisition module is configured to simultaneously collect various carbon emission and emission reduction related data involved in the operation of the park, including raw material input, logistics and transportation, energy use and construction waste recycling, and to obtain raw material data, transportation data, electricity energy structure data and construction waste recycling data.

[0049] The data processing module, connected to the data acquisition module, is configured to perform timestamp alignment, multi-source fusion, unit normalization, and parameter mapping on the acquired multi-source data, establish a standardized parameter set, and construct a unified factor mapping table for the park.

[0050] The whole-chain emission intensity assessment module is configured to calculate the multi-chain emission component coefficients of the park based on a standardized parameter set, and perform unit output normalization to obtain the whole-chain emission intensity coupling coefficient, and compare it with the preset emission intensity threshold; when the emission intensity exceeds the limit, it triggers a coordinated adjustment strategy for the raw material usage structure, transportation organization method and energy structure configuration.

[0051] The recycling and substitution carbon reduction contribution analysis module is configured to quantify the substitution emission reduction benefits generated by the resource utilization of construction waste in the park and the additional emissions from the recycling process, construct the recycling and substitution carbon reduction contribution coefficient, and compare and evaluate it with the preset contribution threshold. When the carbon reduction contribution is insufficient, a coordinated adjustment strategy is triggered for the percentage of resource utilization, recycling energy consumption level, and raw material substitution structure, and the adjustment parameters are recorded and traced back.

[0052] The net emission correction intensity comprehensive assessment module is configured to perform net value correction and unit output normalization calculation on the emission intensity of the entire chain and the carbon reduction contribution of recycling substitution, construct the net emission correction intensity coefficient, and compare and evaluate it with the preset threshold. When the correction intensity is unbalanced, the material substitution ratio, resource utilization ratio and recycling energy consumption level are adjusted in a linked manner, and the calculation is repeated to form a closed-loop optimization mechanism.

[0053] Figure 1 The isometric park scenario in the diagram corresponds to the working environment of the data acquisition module. This module synchronously collects data on raw material input (within the factory), logistics and transportation (transport vehicles), energy use (energy facilities), and construction waste recycling (waste treatment facilities) within this scenario. The first box in the technology roadmap, "Multi-source Data Acquisition and Processing," illustrates the process by which the data acquisition module acquires raw data, and then the data processing module performs standardization and parameterization. The second box, "Full-Link Emission Intensity Assessment," corresponds to the function of the full-link emission intensity assessment module, which calculates the overall emission intensity based on the processed data and compares it with a threshold. The third box, "Circular Carbon Reduction Contribution Analysis," corresponds to the function of the circular substitution carbon reduction contribution analysis module, used to quantify the actual carbon reduction benefits of waste resource utilization. The fourth box, "Net Emission Correction and Closed-Loop Optimization," precisely corresponds to the core function of the net emission correction intensity comprehensive assessment module. This module comprehensively corrects emission intensity and carbon reduction contribution, and constructs a closed-loop optimization mechanism for feedback adjustment and circular recalculation, thereby achieving dynamic guidance for park carbon management decisions.

[0054] In this embodiment, by decoupling and sequentially linking the whole-chain emission intensity assessment, the carbon reduction contribution analysis of recycling substitution, and the comprehensive assessment of net emission correction intensity in a hierarchical manner, a carbon emission reduction synergy quantification and closed-loop optimization mechanism based on unit output as a unified benchmark is constructed. This mechanism can not only accurately identify the specific sources of carbon emission exceeding the limit or insufficient carbon reduction through recycling substitution in the park, but also make quantifiable and traceable linkage corrections to the raw material usage structure, resource utilization ratio, and recycling energy consumption level under threshold triggering conditions. This enables continuous iteration of carbon emission control and carbon reduction path optimization in the park, improving the pertinence, stability, and engineering feasibility of overall carbon reduction decisions.

[0055] Example 2

[0056] Please see Figures 1 to 2 In the explanation of Embodiment 1, the data acquisition module specifically includes a raw material acquisition unit, a transportation data acquisition unit, an electrical energy structure acquisition unit, and a construction waste recycling acquisition unit.

[0057] The raw material acquisition unit is used to monitor the raw material input process in the park in real time and collect raw material data. By installing raw material metering equipment and batch identification devices at the raw material entry point in the park, the unit collects the material type, quantity, and batch usage data of the raw materials, denoted as n. At the raw material input location of each production process, the unit installs usage metering equipment to collect the actual output of different raw materials within the accounting cycle, denoted as Q. The unit calls the corresponding emission factor database in the raw material information management terminal to collect the carbon emission factor data corresponding to various raw materials at the production stage and obtain the raw material production emission factor, denoted as EFprod.

[0058] The transportation data acquisition unit is used to monitor the raw material logistics transportation process in real time and collect transportation data; by installing positioning devices and trip recording devices on transportation vehicles, it collects transportation distance data during the transportation process of various raw materials, denoted as D; by installing transportation load acquisition devices at logistics transportation nodes, it collects single transportation load and corresponding transportation frequency data, denoted as N; it records the transportation tool type in the transportation mode management system, and retrieves the corresponding unit transportation carbon emission factor data based on the transportation mode to obtain the transportation emission factor, denoted as EFtrans;

[0059] The electricity consumption structure acquisition unit is used to monitor the overall electricity consumption behavior of the park in real time and collect electricity consumption structure data. It collects electricity consumption data for each area by installing sub-item electricity metering devices in the park's production area, auxiliary area, and public area. It also installs electricity source identification devices at the park's power access point and power switching nodes to distinguish between conventional grid electricity (referred to as Egrid), purchased green electricity (referred to as Egreen), and the park's self-generated photovoltaic power (referred to as Epv). The unit calls the corresponding benchmark emission factor database for each electricity source in the energy management system to collect benchmark emission factor data for each type of electricity source, obtaining the benchmark emission factor for conventional grid electricity (referred to as EFgrid), the benchmark emission factor for purchased green electricity (referred to as EFgreen), and the benchmark emission factor for the park's self-generated photovoltaic power (referred to as EFpv).

[0060] The construction waste recycling collection unit is used to monitor the generation and disposal process of construction waste in the park in real time and collect construction waste recycling data. By installing mass metering equipment at construction waste generation points and centralized collection points, it collects data on the resource utilization of construction waste, denoted as Wres. Energy consumption and emission monitoring equipment is installed in the construction waste recycling, transportation and reprocessing links to collect energy consumption data in the relevant processes, denoted as Eproc, and emission data, denoted as Cproc. In the material substitution management system, it calls the production carbon emission factor database of the replaced original building materials, collects the corresponding production carbon emission factor data, and obtains the building material substitution emission reduction factor, denoted as EFvir.

[0061] In this embodiment, carbon emission and emission reduction data from key links such as raw material input, logistics and transportation, electricity energy structure, and construction waste recycling are collected in real time by unit and process. Corresponding production emission factors, transportation emission factors, electricity benchmark emission factors, and building material substitution emission reduction factors are introduced simultaneously. This makes the carbon emission and circular carbon reduction data of the park have clear sources, unified standards, and time traceability. This effectively avoids the data loss and standard deviation problems caused by traditional manual statistics or post-event summarization methods, and provides highly reliable basic data support for subsequent full-chain emission accounting, circular substitution carbon reduction assessment, and strategy optimization.

[0062] Example 3

[0063] Please see Figures 1 to 2In this embodiment, as explained in Embodiment 1, the data processing module is used to reconstruct the time scale of data from different sources and sampling frequencies under a unified accounting period based on data collected by the raw material collection unit, transportation data collection unit, electricity energy structure collection unit, and construction waste recycling collection unit. Simultaneously, it employs unit normalization and parameter mapping methods to perform unified dimensional conversion on the collected data and establish a standardized parameter set. By constructing a unified mapping relationship, it structurally associates raw material production emission factors, transportation emission factors, various electricity benchmark emission factors, and building material substitution emission reduction factors to form a unified factor mapping table for the park.

[0064] In this embodiment, by introducing processing mechanisms such as timestamp alignment, multi-source data fusion, unit normalization, and parameter mapping into the data processing module, data from different systems, different sampling frequencies, and different dimensions are reconstructed into a standardized parameter set under a unified accounting cycle. Furthermore, a unified factor mapping table for the park is constructed to achieve a structured and consistent association between emission factors and business data. This significantly improves the comparability, stability, and calculation consistency of carbon emission and carbon reduction accounting results in the park, providing a reliable data foundation for multi-module collaborative evaluation and closed-loop optimization.

[0065] Example 4

[0066] Please see Figures 1 to 2 In the explanation of Embodiment 1, the full-link emission intensity assessment module specifically includes a multi-source emission component coefficient calculation unit, a full-link emission intensity calculation unit, and a first analysis unit.

[0067] The multi-source emission factor calculation unit is used to extract batch usage data M, transportation distance data D, transportation frequency data N, conventional grid electricity Egrid, purchased green electricity Egreen, electricity consumption EPV of self-generated photovoltaic power in the park, and actual output Q from the standardized parameter set. It then combines this with the raw material production emission factor EFprod, transportation emission factor EFtrans, conventional grid electricity benchmark emission factor EFgrid, purchased green electricity benchmark emission factor EFgreen, and self-generated photovoltaic power benchmark emission factor EFpv from the park's unified factor mapping table. After dimensionless processing, the raw material emission factor is calculated and denoted as Kmat, the electricity consumption emission factor as Kelec, and the transportation emission factor as Ktrans, respectively, using the following formulas:

[0068]

[0069] In the formula, n represents the quantity of different types of raw materials. This represents the batch usage of the i-th raw material. This represents the emission factor from the production of the i-th material;

[0070] The physical principle behind the formula: The raw material emission factor Kmat reflects the scale of carbon emissions introduced by the raw material production process in the industrial park during the accounting period. Its physical essence lies in: [the formula is based on] the actual batch usage of various raw materials. The corresponding production stage unit emission factor Linear weighted summation is performed to quantify the contribution of different raw materials to carbon emissions during the production stage. This calculation method reflects the direct physical mapping relationship between "material usage - production emission intensity", enabling the differences in raw material types and emission intensity to be comprehensively characterized on the same scale.

[0071]

[0072] The physical principle of the formula: The electricity consumption emission factor Kelec is used to characterize the carbon emission level corresponding to the electricity consumption behavior in the park within the accounting period. Its physical principle is that the electricity consumption from different power sources is multiplied by its corresponding benchmark emission factor and then linearly superimposed to reflect the impact of differences in power source structure on overall carbon emissions. This formula reflects the physical correspondence between "electricity consumption - emission characteristics of power source", enabling comparable calculations of electricity with different levels of cleanliness under a unified emission scale.

[0073]

[0074] In the formula, k represents the number of transportation routes. This represents the transportation distance of the j-th transportation route. This represents the number of transport trips along the j-th transport route. This represents the transport emission factor for the j-th transport route.

[0075] The physical principle of the formula: The transport emission coefficient Ktrans is used to characterize the carbon emissions generated during the raw material logistics transportation process. Its physical essence lies in: by considering the transport distance of each transport route... Number of shipments and the unit emission factor of the corresponding transportation mode By multiplying and accumulating, the combined effect of transportation distance, transportation frequency, and emission intensity of transportation mode on carbon emissions is comprehensively reflected. This calculation method embodies the physical law that "distance-frequency-emission intensity" jointly determine the scale of transportation emissions in transportation activities.

[0076] In this embodiment, by setting up a multi-source emission component coefficient calculation unit, the emission impacts during raw material production, energy use, and transportation are standardized and quantitatively modeled. The emission coefficients for raw materials, electricity consumption, and transportation are calculated separately. A unified factor mapping table is introduced to achieve consistency constraints on emission factors. This enables the full-chain emission intensity assessment to be based on real production and logistics data for refined decomposition and analysis. It avoids the problem of mutual masking or double calculation of emissions in each link in the traditional overall estimation method, thereby significantly improving the accuracy, traceability, and guiding value of emission accounting results for specific emission reduction links.

[0077] Example 5

[0078] Please see Figures 1 to 2 In the explanation of Example 4, this embodiment specifically describes how the full-link emission intensity calculation unit uses a multi-link emission weighted accumulation and unit output normalization calculation method to perform unified dimension superposition processing on raw material production emissions, transportation emissions, and electricity consumption emissions. Specifically, carbon emissions under different links are linearly mapped according to the corresponding emission factors, and the actual output Q of the park during the accounting period is used as the normalization benchmark to convert the total carbon emissions of the park's entire links into unit output intensity, thereby calculating the full-link emission intensity coupling coefficient, denoted as CEIC, which characterizes the comprehensive emission level of the park. By using the raw material emission coefficient Kmat, electricity emission coefficient Kelec, and transportation emission coefficient Ktrans obtained through calculation, combined with the actual output Q, and after dimensionless processing, the full-link emission intensity coupling coefficient CEIC is calculated, as shown in the following formula:

[0079]

[0080] The physical principle behind the formula: The physical principle of the whole-chain emission intensity coupling coefficient CEIC lies in the fact that emission coefficients from different emission chains, such as raw material production, transportation, and electricity consumption, are superimposed with unified dimensions to obtain the total comprehensive emissions of the park within the accounting period. Then, using the actual output Q as the normalization benchmark, the total emissions are converted into emission intensity under unit output conditions. This method embodies the physical concept of "whole-chain emission accumulation - unit output normalization," making the emission levels of different sizes and time periods of the park comparable.

[0081] In this embodiment, a full-link emission intensity calculation mechanism combining multi-link emission weighted accumulation and unit output normalization is introduced. This mechanism maps carbon emissions from different sources and with different dimensions, such as raw material production, transportation, and electricity consumption, to the same evaluation scale. The actual output is used as the normalization benchmark to construct the full-link emission intensity coupling coefficient. This allows the overall emission level of the park to be intuitively represented in the form of "unit output emission intensity". This not only effectively eliminates the interference of park size differences and output fluctuations on emission assessment results, but also provides an objective and consistent quantitative basis for comparing emission performance between different parks, different periods, and different production schemes.

[0082] Example 6

[0083] Please see Figures 1 to 2 In the explanation of Embodiment 4, specifically, the first analysis unit is used to compare and analyze the whole-link emission intensity coupling coefficient CEIC with the emission intensity threshold Cth using a preset emission intensity threshold to obtain the first evaluation result, including:

[0084] When the whole-chain emission intensity coupling coefficient CEIC ≤ emission intensity threshold Cth, it indicates that the carbon emission intensity of the park's output is qualified and will be continuously monitored.

[0085] When the total emission intensity coupling coefficient CEIC > emission intensity threshold Cth, it indicates that the carbon emission intensity of the park's output is unqualified, posing a risk of exceeding carbon emission limits. This triggers the first warning instruction and generates the first strategy: uniformly adjust the raw material usage parameters, introduce preset material substitution rules, and replace or reduce the amount of raw materials used; reconstruct the transportation distance and transportation frequency parameters, reconfigure the transportation route combination and transportation execution frequency according to preset transportation organization rules; structurally adjust the electricity consumption parameters, reduce conventional grid electricity consumption parameters, and introduce clean energy electricity parameters according to a preset ratio; after adjustment, recalculate until the total emission intensity coupling coefficient CEIC ≤ emission intensity threshold Cth.

[0086] The emission intensity threshold Cth is obtained by statistically analyzing historical operating data from numerous industrial parks under different production loads, energy structures, and raw material configurations. This allows for the extraction of the distribution range of the park's total carbon emission intensity across the entire value chain under compliant and exceeding-limit operating conditions per unit output. Combining carbon emission accounting methodologies, industry carbon intensity management experience, and the characteristics of the park's production processes, a reasonable emission intensity threshold is determined. Furthermore, referencing national and industry-level carbon emission intensity management requirements, dual-carbon policy objectives, and unit output emission limits stipulated in relevant standards, and considering the park's designed capacity and safety margin, the emission intensity threshold Cth is formulated to effectively identify the risk of exceeding carbon emission intensity limits at the park's output.

[0087] In this embodiment, by setting an emission intensity threshold and dynamically comparing and analyzing the emission intensity coupling coefficient across the entire chain, when the carbon emission intensity of the park is determined to exceed the limit, a sub-chain collaborative optimization strategy can be automatically triggered. This strategy implements parameter reconstruction and substitution adjustment from three key aspects: raw material usage, transportation organization, and electricity consumption structure. After the strategy is executed, closed-loop recalculation and continuous verification are performed, thereby transforming the carbon emission control of the park from a single ex-post assessment into an executable and iterative proactive control process. This effectively reduces the risk of carbon emission exceeding the limit and improves the refinement and controllability of the overall emission reduction management of the park.

[0088] Example 7

[0089] Please see Figures 1 to 2 In the explanation of Embodiment 1, the specific implementation of the circular substitution carbon reduction contribution analysis module includes a circular substitution emission reduction and treatment emission sub-item calculation unit, a circular substitution carbon reduction contribution coefficient calculation unit, and a second analysis unit.

[0090] The recycling-substitution emission reduction and treatment emission sub-item calculation unit is used to extract resource utilization data Wres, energy consumption data Eproc, batch usage data M, energy consumption data Eproc, and emission data Cproc from the standardized parameter set. Combined with the building material substitution emission reduction factor EFvir and raw material production emission factor EFprod from the park's unified factor mapping table, after dimensionless processing, the recycling-substitution emission reduction coefficient, denoted as Ksub, and the recycling-treatment emission coefficient, denoted as Kproc, are calculated separately, as shown in the following formulas:

[0091]

[0092] In the formula, s represents the number of categories of building waste that are recycled. This represents the amount of resource utilization of the m-th type of construction waste; This represents the production emission factor of the m-th type of construction waste being replaced by virgin building materials;

[0093] The physical principle behind the formula: The recycling substitution emission reduction coefficient Ksub is used to measure the emission reduction effect of building waste recycling on the production of virgin materials. Its physical principle lies in: by increasing the amount of various types of building waste recycled... The emissions from the original building materials production that it replaces By multiplying and summing, the potential carbon emissions avoided by material substitution are quantified. This formula reflects the equivalent substitution relationship between "circular material utilization - emissions from primary material production".

[0094]

[0095] In the formula, u represents the number of cyclic processing steps. This represents the energy consumption of the h-th processing stage. This represents the emissions from the h-th treatment stage.

[0096] The physical principle behind the formula: The recycling emission factor Kproc is used to characterize the additional emissions generated during the recycling, transportation, and reprocessing of construction waste. Its physical principle lies in the energy consumption of each recycling stage. With corresponding emissions A weighted average calculation is performed to reflect the actual emission level under unit energy consumption conditions, and the results are accumulated across multiple treatment stages. This calculation reflects the physical relationship of "treatment energy consumption - emission generation" introduced by the cyclic treatment process itself.

[0097] In this embodiment, by separately modeling and quantifying the emission reduction effect formed by the resource utilization of construction waste and the emission impact generated by the recycling process itself, it is possible to objectively characterize the net contribution of recycling behavior to the carbon emissions of the park under a unified dimension and unified factor mapping framework. This avoids the bias caused by only counting emission reductions and ignoring the emissions from the treatment process, thereby improving the accuracy and comparability of the carbon reduction assessment results of recycling substitution, and providing a reliable basis for optimizing the recycling path and making carbon reduction decisions in the park.

[0098] Example 8

[0099] Please see Figures 1 to 2 In the explanation of Example 7, specifically, the circular substitution carbon reduction contribution coefficient calculation unit is used to calculate the circular substitution emission reduction coefficient Ksub and the circular treatment emission coefficient Kproc, and then, after dimensionless processing, calculate the circular substitution carbon reduction contribution coefficient, denoted as Ksub. The formula is as follows:

[0100]

[0101] The physical principle behind the BCRC (Byclic Reduction Contribution Coefficient) formula is as follows: The emission reduction Ksub resulting from recycling is subtracted from the emissions Kproc generated during recycling, and the raw material emission coefficient Kmat is used as a normalization benchmark to measure the relative carbon reduction contribution of recycling measures within the overall raw material emission system. This formula reflects the comprehensive trade-off between "emission reduction benefits—treatment costs—original emission scale" in a circular economy.

[0102] The second analysis unit is used to set a preset carbon reduction contribution threshold for cyclic substitution, denoted as Bth, and to calculate the carbon reduction contribution coefficient of cyclic substitution. A comparative analysis was conducted with the carbon reduction contribution threshold Bth of the circular substitution model to obtain the second assessment results, including:

[0103] When the carbon reduction contribution coefficient of recycling When the carbon reduction contribution of the circular substitution is ≥ the threshold Bth, it indicates that the carbon reduction contribution of the circular substitution in the park is qualified and will be continuously monitored.

[0104] When the carbon reduction contribution coefficient of recycling When the carbon reduction contribution of recycling is less than the threshold Bth, it indicates that the carbon reduction contribution of recycling in the park is not up to standard, and there is a risk of insufficient carbon reduction offsetting. This triggers a second early warning instruction and generates a second strategy: increase the resource utilization parameter Wres of construction waste by 10%–30% to increase the scale of recycling materials replacing virgin materials; reduce the energy consumption parameter Eproc in the recycling process by 5%–15% to reduce the additional emissions generated in the recycling process; reduce the input of virgin materials according to the preset material substitution mapping rules for the batch usage data M of raw materials, and introduce recycling materials in proportion, with a substitution ratio of 5%–20%; and record the corresponding recycling increase ratio, energy consumption reduction ratio, and material substitution ratio parameters.

[0105] The carbon reduction contribution threshold Bth of circular substitution is obtained by conducting long-term statistical and comparative analysis of data on the resource utilization of construction waste and the substitution of virgin materials in different types of industrial parks. The distribution range of the carbon reduction contribution coefficient of circular substitution measures under normal carbon reduction effect and insufficient carbon reduction offset conditions is extracted. Combined with experience in circular economy operation, the maturity of building material substitution technology, and carbon reduction effect assessment results, a reasonable critical level for the carbon reduction contribution of circular substitution is determined. Simultaneously, referring to relevant policy requirements for construction waste resource utilization, industry carbon reduction assessment standards, and carbon reduction performance indicators of typical demonstration projects, the aforementioned carbon reduction contribution threshold Bth of circular substitution is formulated to determine the effective support capacity of the park's circular substitution measures for the overall emission reduction target.

[0106] In this embodiment, by introducing the carbon reduction contribution coefficient BCRC of recycling substitution and unifying and normalizing the emission reduction effect of recycling substitution, the emission impact of recycling treatment, and the emission benchmark of raw material production, a quantitative assessment of the "net carbon reduction contribution" of recycling substitution behavior is achieved. At the same time, based on threshold comparison triggering graded early warning and parameterized control strategies, the scale of construction waste resource utilization, recycling treatment energy consumption, and the proportion of virgin material replacement can be synergistically optimized, avoiding the emission reduction benefits during recycling being offset by treatment emissions, thereby effectively improving the actual contribution and control feasibility of carbon reduction by recycling substitution in the park.

[0107] Example 9

[0108] Please see Figures 1 to 2 In the explanation of Embodiment 1, the net emission correction intensity comprehensive assessment module specifically includes a net emission correction amount calculation unit, an output net emission correction intensity coefficient calculation unit, and a third analysis unit.

[0109] The net emission correction calculation unit is used to calculate the carbon reduction contribution coefficient of the entire emission intensity coupling coefficient CEIC and the carbon reduction contribution coefficient of the cycle substitution. The emission intensity is adjusted using a linear correction method for emissions-reduction and a unit output consistency method. The net emission correction parameter for the industrial park is calculated and denoted as ΔCnet, as shown in the following formula:

[0110]

[0111] The physical principle behind the formula: The physical principle of the net emission correction ΔCnet is as follows: By linearly differentiating the total emission intensity (CEIC) of the industrial park with the carbon reduction contribution (BCRC) of the recycling substitution, the actual net emission level after considering the recycling substitution factor is obtained. This method reflects the direct correction relationship between "total emissions - emission reduction contribution" and is used to characterize the actual correction effect of recycling substitution on the total emission intensity.

[0112] The net emission correction intensity coefficient calculation unit is used to obtain the net emission correction parameter ΔCnet of the industrial park, combine it with the actual output Q, and after dimensionless processing, calculate the net emission correction intensity coefficient, denoted as NEIC, as follows:

[0113]

[0114] The physical principle behind the Net Emissions Correction Intensity Coefficient (NEIC) is as follows: Based on the obtained net emissions correction amount ΔCnet, the actual output Q of the industrial park is normalized per unit output to form an emissions intensity index per unit output that reflects the overall emissions reduction effect of the industrial park. This calculation reflects the physical correspondence between "net emissions - output scale," enabling net emissions levels to be used for horizontal comparison and control assessment between different industrial parks or different periods.

[0115] In this embodiment, by uniformly calculating the net value correction of the whole-chain emission intensity and the carbon reduction contribution of the cycle substitution, a net emission correction amount ΔCnet and its unit output normalized net emission correction intensity coefficient NEIC are constructed, so as to accurately quantify the actual emission level of the park after considering the impact of cycle carbon reduction. This method avoids the evaluation bias caused by only statistically analyzing emissions or only assessing emission reduction, so that the net emission results can directly correspond to the actual output scale of the park, and provide a stable, comparable and engineering-guiding comprehensive evaluation index for subsequent threshold determination and linkage control.

[0116] Example 10

[0117] Please see Figures 1 to 2In the explanation of Example 9, specifically, the third analysis unit is used to compare and analyze the net emission correction intensity coefficient NEIC with the net emission intensity threshold Nth by setting a preset net emission intensity threshold, denoted as Nth, to obtain the third evaluation result, including:

[0118] When the net emission correction intensity factor NEIC ≤ net emission intensity threshold Nth, it indicates that the correction relationship between the emission intensity of the entire chain and the carbon reduction contribution of the cycle substitution is coordinated and effective, and should be continuously monitored.

[0119] When the Net Emission Correction Intensity Coefficient (NEIC) exceeds the Net Emission Intensity Threshold (Nth), it indicates that the coordination between the overall emission intensity and the carbon reduction contribution from recycling is ineffective, posing a risk of comprehensive correction imbalance. This triggers a third early warning instruction and generates a third strategy: Based on the functional mapping relationship between the NEIC and the raw material emission coefficient Kmat, the recycling emission reduction coefficient Ksub, and the recycling emission coefficient Kproc, a coefficient composition decomposition and sensitivity backtracking analysis method is used to decompose and analyze the sources of NEIC, identify the contribution ratio of each emission and reduction sub-coefficient to the net emission correction intensity, and obtain the composition relationship of raw material emissions, recycling emission reduction, and recycling emissions in NEIC. Based on the compositional relationship, relevant strategy parameters are collaboratively corrected according to preset proportional adjustment rules, including: increasing the material substitution ratio parameter corresponding to the batch usage of raw materials by 10%–25% to increase the proportion of recycled materials in raw material input; increasing the proportion of the resource utilization parameter Wres of construction waste by 15%–35% to enhance the corrective effect of recycling on net emissions; compressing the energy consumption parameter Eproc in the recycling process by 10%–25% to reduce the reverse impact of the recycling process on the net emission correction intensity; after adjustment, recalculation is performed until the net emission correction intensity coefficient NEIC ≤ net emission intensity threshold Nth.

[0120] The net emission intensity threshold Nth is obtained by comprehensively analyzing long-term operational data of the industrial park under the conditions of coordinated regulation of full-chain emission control and circular substitution for carbon reduction. The variation range of net emission correction intensity under coordinated and unbalanced system conditions is extracted. Combining the characteristics of the emission-reduction coupling relationship, system stability operation experience, and comprehensive emission reduction management requirements, a reasonable critical value for net emission intensity is determined. Simultaneously, referring to the park's comprehensive energy efficiency and emission reduction coordination design requirements, and considering the actual output fluctuation range, the aforementioned net emission intensity threshold Nth is formulated to effectively evaluate the coordination effectiveness and comprehensive emission reduction stability between full-chain emission control and circular substitution for carbon reduction.

[0121] In this embodiment, by introducing a threshold determination and component decomposition linkage analysis mechanism at the net emission correction intensity level, when the overall correction is unbalanced, the contribution sources of raw material emissions, circular substitution emission reduction, and circular treatment emissions to the net emission intensity can be accurately identified based on the functional mapping relationship between the net emission correction intensity coefficient NEIC and each emission and emission reduction sub-coefficient. Based on this, differentiated and proportional collaborative adjustment strategies can be implemented. This mechanism avoids the systematic deviation caused by blind adjustment of a single parameter, realizes interpretable analysis and closed-loop optimization control of the net emission correction process, and thus significantly improves the pertinence, stability, and continuous effectiveness of the park's comprehensive emission reduction decision-making.

[0122] It should be noted that all calculation formulas in this application employ regression analysis, including but not limited to machine learning algorithms, to deeply analyze the collected parameters and identify their natural trends and interrelationships. Specialized software, such as Python's Scikit-learn library or the R language, is used to automatically generate mathematical models that match the data. Then, cross-validation and other methods are used to objectively evaluate the model performance, and continuous feedback and optimization are combined to ensure that the created formulas truly reflect the inherent laws of the data, thereby guaranteeing their effectiveness and accuracy. In all calculation formulas in this application, the parameters in each formula undergo dimensionless processing within a consistent range to ensure that different physical quantities are compared on the same scale; dimensionless processing techniques include, but are not limited to, min-max-normalization and Z-score standardization.

[0123] The algorithm of this invention is implemented as a Python script. Before executing the core logic, the program first executes a data loading module (e.g., using the widely used pandas library in Python) configured to read the aforementioned spreadsheet file and load its contents into the program's working memory (e.g., a DataFrame data structure). Subsequent algorithm steps will directly query and retrieve the required configuration parameters from this in-memory data structure.

[0124] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A system for quantitative accounting of carbon emissions and carbon reduction across the entire chain of a circular economy industrial park, characterized in that, include: The data acquisition module is configured to simultaneously collect various carbon emission and emission reduction related data involved in the operation of the park, including raw material input, logistics and transportation, energy use and construction waste recycling, and to obtain raw material data, transportation data, electricity energy structure data and construction waste recycling data. The data processing module, connected to the data acquisition module, is configured to perform timestamp alignment, multi-source fusion, unit normalization, and parameter mapping on the acquired multi-source data, establish a standardized parameter set, and construct a unified factor mapping table for the park. The whole-chain emission intensity assessment module is configured to calculate the multi-chain emission component coefficients of the park based on a standardized parameter set, and perform unit output normalization to obtain the whole-chain emission intensity coupling coefficient, and compare it with the preset emission intensity threshold; when the emission intensity exceeds the limit, it triggers a coordinated adjustment strategy for the raw material usage structure, transportation organization method and energy structure configuration. The recycling and substitution carbon reduction contribution analysis module is configured to quantify the substitution emission reduction benefits generated by the resource utilization of construction waste in the park and the additional emissions from the recycling process, construct the recycling and substitution carbon reduction contribution coefficient, and compare and evaluate it with the preset contribution threshold. When carbon reduction contributions are insufficient, a coordinated adjustment strategy is triggered for the percentage of resource utilization, recycling energy consumption, and raw material substitution structure, and the adjustment parameters are recorded and traced back. The Net Emissions Correction Intensity Comprehensive Assessment Module is configured to perform net value correction and unit output normalization calculations on the emission intensity and carbon reduction contribution of the whole chain and the circular substitution, construct the net emission correction intensity coefficient, and compare and evaluate it with the preset threshold. When the correction intensity is unbalanced, the material substitution ratio, resource utilization ratio and recycling energy consumption level are adjusted in a coordinated manner, and the calculation is repeated to form a closed-loop optimization mechanism. The comprehensive assessment module for net emission correction intensity includes a net emission correction amount calculation unit, an output net emission correction intensity coefficient calculation unit, and a third analysis unit; The net emission correction calculation unit is used to perform net value correction processing on emission intensity by using the whole-link emission intensity coupling coefficient and the circular substitution carbon reduction contribution coefficient, and adopting the emission-emission reduction linear correction and unit output consistency processing method to calculate and obtain the park's net emission correction parameters. The net emission correction intensity coefficient calculation unit is used to calculate the net emission correction intensity coefficient by obtaining the net emission correction parameters of the park, combining them with the actual output, and after dimensionless processing. The third analysis unit is used to obtain a third assessment result by comparing the net emission intensity coefficient with the net emission intensity threshold using a preset net emission intensity threshold. When the net emission correction intensity factor is less than or equal to the net emission intensity threshold, it indicates that the correction relationship between the emission intensity across the entire chain and the carbon reduction contribution of recycling is effectively coordinated and should be continuously monitored. When the net emission correction intensity coefficient exceeds the net emission intensity threshold, it indicates that the coordination between the overall emission intensity and the carbon reduction contribution of recycling is ineffective, posing a risk of comprehensive correction imbalance. This triggers a third early warning instruction and generates a third strategy: Based on the functional mapping relationship between the net emission correction intensity coefficient and the raw material emission coefficient, the recycling emission reduction coefficient, and the recycling treatment emission coefficient, a coefficient composition decomposition and sensitivity backtracking analysis method is used to decompose and analyze the composition sources of the net emission correction intensity coefficient, identify the contribution ratio of each emission and emission reduction sub-coefficient to the net emission correction intensity, and obtain the composition relationship among the raw material emissions, recycling emission reduction, and recycling treatment emissions; based on the composition relationship, relevant strategy parameters are collaboratively corrected according to a preset proportional adjustment rule, including: The material substitution ratio parameter corresponding to the batch usage of raw materials will be increased by 10%–25% to raise the proportion of recycled materials in raw material input; the resource utilization parameter of construction waste will be increased by 15%–35% to enhance the correction effect of recycling on net emissions; the energy consumption parameter in the recycling process will be reduced by 10%–25% to reduce the negative impact of recycling on the net emission correction intensity; after adjustment, the calculation will be recalculated until the net emission correction intensity coefficient is ≤ net emission intensity threshold.

2. The circular economy park full-chain carbon emission and carbon reduction quantitative accounting system according to claim 1, characterized in that: The data acquisition module includes a raw material acquisition unit, a transportation data acquisition unit, an electrical energy structure acquisition unit, and a construction waste recycling acquisition unit. The raw material collection unit is used to monitor the raw material input process in the park in real time and collect raw material data. By installing raw material metering equipment and batch identification devices at the raw material entry point of the industrial park, data on the type, quantity, and batch usage of raw materials are collected; by installing usage metering equipment at the raw material feeding locations in each production process, the actual output of different raw materials within the accounting cycle is collected; and by calling the corresponding emission factor database in the raw material information management terminal, carbon emission factor data corresponding to various raw materials at the production stage is collected to obtain the raw material production emission factors. The transportation data acquisition unit is used to monitor the raw material logistics transportation process in real time and collect transportation data; by installing positioning devices and trip recording devices on transportation vehicles, it collects transportation distance data of various raw materials during transportation; and by installing transportation load acquisition devices at logistics transportation nodes, it collects single transportation load and corresponding transportation frequency data. The transportation mode management system records the transportation mode type and retrieves the corresponding unit transportation carbon emission factor data based on the transportation mode to obtain the transportation emission factor; The electricity consumption structure acquisition unit is used to monitor the overall electricity consumption behavior of the park in real time and collect electricity consumption structure data; by installing sub-item electricity metering devices in the production area, auxiliary area and public area of ​​the park, electricity consumption data of each area is collected; Power source identification devices are installed at the power access point and power switching node in the park to distinguish the electricity consumption of conventional grid power, purchased green power and self-generated photovoltaic power in the park; In the energy management system, the baseline emission factor database for the corresponding power source is called to collect the baseline emission factor data for various power sources and obtain the baseline emission factor for conventional grid power, the baseline emission factor for purchased green power, and the baseline emission factor for self-generated photovoltaic power in the park. The construction waste recycling data collection unit is used to monitor the generation and disposal process of construction waste in the park in real time and collect construction waste recycling data. By installing mass measurement equipment at construction waste generation points and centralized collection points, data on the amount of construction waste utilized for resource recovery can be collected. Energy consumption and emission monitoring equipment is installed in the recycling, transportation and reprocessing of construction waste to collect energy consumption and emission data in the relevant processes; the production carbon emission factor database of the replaced original building materials is called in the material substitution management system to collect the corresponding production carbon emission factor data and obtain the building material substitution emission reduction factor.

3. The circular economy industrial park full-chain carbon emission and carbon reduction quantitative accounting system according to claim 1, characterized in that: The data processing module is used to reconstruct the time scale of data from different sources and sampling frequencies under a unified accounting period based on data collected by the raw material collection unit, transportation data collection unit, electricity energy structure collection unit, and construction waste recycling collection unit. It employs timestamp alignment and multi-source data fusion processing methods to reconstruct the time scale of data from different sources and sampling frequencies. At the same time, it uses unit normalization and parameter mapping processing methods to perform unified dimensional conversion on the collected data and establish a standardized parameter set. By constructing a unified mapping relationship, it structurally associates raw material production emission factors, transportation emission factors, various electricity benchmark emission factors, and building material substitution emission reduction factors to form a unified factor mapping table for the park.

4. The circular economy industrial park full-chain carbon emission and carbon reduction quantitative accounting system according to claim 1, characterized in that: The full-link emission intensity assessment module includes a multi-source emission component coefficient calculation unit, a full-link emission intensity calculation unit, and a first analysis unit; The multi-source emission factor calculation unit is used to extract batch usage data, transportation distance data, transportation frequency data, conventional grid electricity, purchased green electricity, and self-generated photovoltaic power from the standardized parameter set, as well as the actual output. It combines the raw material production emission factor, transportation emission factor, conventional grid electricity benchmark emission factor, purchased green electricity benchmark emission factor, and self-generated photovoltaic power benchmark emission factor from the park's unified factor mapping table. After dimensionless processing, the raw material emission factor, electricity consumption emission factor, and transportation emission factor are calculated and obtained respectively.

5. The circular economy industrial park full-chain carbon emission and carbon reduction quantitative accounting system according to claim 4, characterized in that: The full-chain emission intensity calculation unit is used to calculate the full-chain emission intensity coupling coefficient by combining the raw material emission coefficient, electricity emission coefficient and transportation emission coefficient obtained by calculation with the actual output and after dimensionless processing.

6. The circular economy industrial park full-chain carbon emission and carbon reduction quantitative accounting system according to claim 4, characterized in that: The first analysis unit is used to obtain a first evaluation result by comparing the whole-link emission intensity coupling coefficient with the emission intensity threshold through a preset emission intensity threshold, including: When the whole-chain emission intensity coupling coefficient is less than or equal to the emission intensity threshold, it indicates that the carbon emission intensity of the park's output is qualified and will be continuously monitored. When the whole-link emission intensity coupling coefficient is greater than the emission intensity threshold, it indicates that the carbon emission intensity of the park's output is unqualified and there is a risk of exceeding the carbon emission limit, triggering the first warning instruction and generating the first strategy: uniformly adjust the raw material usage parameter, introduce preset material substitution rules, and replace or reduce the amount of raw materials used; reconstruct the transportation distance parameter and transportation frequency parameter, and reconfigure the transportation route combination and transportation execution frequency according to preset transportation organization rules; structurally adjust the electricity consumption parameter, reduce the conventional grid electricity consumption parameter, and introduce clean energy electricity parameters according to preset proportions; after adjustment, recalculate until the whole-link emission intensity coupling coefficient is less than or equal to the emission intensity threshold.

7. The circular economy park full-chain carbon emission and carbon reduction quantitative accounting system according to claim 1, characterized in that: The circular substitution carbon reduction contribution analysis module includes a circular substitution emission reduction and treatment emission sub-item calculation unit, a circular substitution carbon reduction contribution coefficient calculation unit, and a second analysis unit. The recycling substitution emission reduction and treatment emission sub-item calculation unit is used to extract resource utilization data, batch usage data, energy consumption data and emission data from the standardized parameter set, and combine them with the building material substitution emission reduction factor and raw material production emission factor in the park's unified factor mapping table. After dimensionless processing, the recycling substitution emission reduction coefficient and recycling treatment emission coefficient are calculated respectively.

8. The circular economy industrial park full-chain carbon emission and carbon reduction quantitative accounting system according to claim 7, characterized in that: The circular substitution carbon reduction contribution coefficient calculation unit is used to calculate the circular substitution emission reduction coefficient and the circular treatment emission coefficient obtained by calculation, and after combining the raw material emission coefficient and dimensionless processing, calculate the circular substitution carbon reduction contribution coefficient. The second analysis unit is used to obtain a second evaluation result by comparing the carbon reduction contribution coefficient of the circular substitution with the carbon reduction contribution threshold by setting a preset threshold: When the carbon reduction contribution coefficient of recycling is greater than or equal to the carbon reduction contribution threshold of recycling, it indicates that the carbon reduction contribution of recycling in the park is qualified and will be continuously monitored. When the carbon reduction contribution coefficient of recycling is less than the carbon reduction contribution threshold of recycling, it indicates that the carbon reduction contribution of recycling in the park is not up to standard and there is a risk of insufficient carbon reduction offset. This triggers a second early warning instruction and generates a second strategy: increase the resource utilization parameter of construction waste by 10%–30% to increase the scale of recycling materials replacing virgin materials; reduce the energy consumption parameter of the recycling process by 5%–15% to reduce the additional emissions generated during the recycling process; reduce the input of virgin materials according to the preset material substitution mapping rules and introduce recycling materials in proportion, with a substitution ratio of 5%–20% for the batch usage data of raw materials; and record the corresponding recycling increase ratio, energy consumption reduction ratio, and material substitution ratio parameters.

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