Carbon emission data processing method and system based on carbon foot detection

Abstract

The invention provides a carbon foot detection-based carbon emission data processing method and system, and the method comprises the steps: obtaining the upper limit of the effective time length of a carbon label and the carbon emission in the production, use and recovery stages of a product, evaluating the carbon emission increase amplitude caused by the performance attenuation trend of the product in a use cycle, and obtaining a carbon emission increase time distribution record; determining the upper limit of the effective duration of the carbon label from the corrected carbon intensity change time distribution record, and analyzing the deviation degree of the record in the effective duration range to obtain the adjusted total carbon footprint cumulant; aiming at the adjusted total carbon footprint cumulant and the carbon emission apportionment amount in the production stage, determining the counteracting ratio of the carbon emission increment in the use stage to counteract the apportionment advantage in the production stage; and determining a carbon footprint rising critical time point according to a counteracting proportion of counteracting the apportionment advantage of the production stage by the carbon emission increment in the use stage, and re-evaluating the time period distribution within the effective time length upper limit of the carbon label to obtain a life cycle carbon intensity optimization time distribution record.

Description

Technical Field

[0001] This invention relates to the field of information technology, and in particular to a carbon emission data processing method and system based on carbon footprint detection. Background Technology

[0002] Carbon footprint testing, as a core technical means of assessing the environmental impact of products, quantifies the carbon emissions throughout a product's entire lifecycle, from production to disposal, providing a scientific basis for enterprises to formulate emission reduction strategies and for consumers to choose low-carbon products. Current carbon footprint assessment methods generally employ a fixed-weight allocation mechanism to process carbon emission data at different lifecycle stages. This static approach ignores the dynamic changes in product performance during actual use. Existing assessment systems assume that products maintain constant operating efficiency throughout their lifespan, evenly distributing carbon emission costs during the production phase according to the design life. However, the actual situation is far more complex than theoretical models. Extended product design life means that the carbon footprint from the production phase is distributed over a longer period, and the carbon intensity per unit of use should theoretically decrease. However, product performance inevitably degrades over long-term use. Taking household air conditioners as an example, new machines have high cooling efficiency and low energy consumption, but as the years of use increase, factors such as refrigerant leakage, heat exchanger fouling, and compressor wear cause a gradual decrease in cooling efficiency, requiring more electricity to achieve the same cooling effect. As product lifespan increases, the rate of increase in additional energy consumption due to declining product energy efficiency exceeds the rate of reduction in carbon intensity per unit time resulting from the longer carbon emission amortization during the production phase due to extended design life. When the rate of performance degradation exceeds the emission reduction benefits of carbon emission amortization during the production phase, carbon emissions accumulate rapidly in the later stages of product use, causing the extended design life to actually increase the total lifecycle carbon footprint. This paradox stems from the lack of a dynamic carbon footprint amortization weighting mechanism in existing methods that can flexibly adjust based on the actual operating conditions of the product. Traditional methods cannot adjust the conversion ratio of carbon footprint at each stage in real time according to changes in the actual performance state of the product. Because they ignore the impact of product performance degradation on the carbon intensity throughout the product's lifecycle, they cannot determine the effective period of the carbon label declaration within the product's lifecycle, ultimately leading to a significant deviation between the carbon label declaration and the product's actual carbon intensity. Therefore, establishing a dynamic carbon footprint amortization system that considers performance degradation factors, and accurately identifying the actual carbon intensity trend and the effective period of the carbon label during the product's lifecycle by dynamically adjusting the conversion weights of carbon footprint at each stage, becomes a key issue in the rational processing of carbon emission data based on carbon footprint detection. Summary of the Invention

[0003] This invention provides a carbon emission data processing method based on carbon foot detection, mainly including: Acquire carbon emission data for the product during production, use, and recycling phases, and construct a time distribution record reflecting product performance degradation and carbon emission growth. Determine the carbon emission allocation ratio for each phase based on the time distribution record, correct the carbon intensity contribution weight throughout the entire life cycle, and generate a corrected carbon intensity change distribution. Extract the upper limit of the effective carbon label duration from the corrected carbon intensity change distribution, analyze the degree of deviation, and adjust the total carbon footprint accumulation. For the adjusted total carbon footprint accumulation, evaluate the offsetting ratio of carbon emission increases during the use phase to the allocation advantage during the production phase. Determine the critical time point for carbon footprint increase based on the offsetting ratio, optimize the time period distribution within the effective carbon label duration, and construct a life cycle carbon intensity optimized distribution record. Using the life cycle carbon intensity optimized distribution record, evaluate the matching degree between the carbon emission accumulation offsetting effect and the effective carbon label duration, generate carbon label effective time period identifiers, and determine the allocation scheme for extending the product design life.

[0004] Furthermore, the acquisition of carbon emission data during the production, use, and recycling stages of the product, and the construction of a time distribution record reflecting product performance degradation and carbon emission growth, includes: acquiring the carbon emission allocation during the production stage, calculating the total emissions through energy consumption data from raw material mining, component manufacturing, and assembly processes, and evenly allocating them according to the design life; extracting the cumulative carbon emissions during the use stage, accumulating the carbon emissions corresponding to power consumption in each time period based on operating power, working hours, and standby energy consumption data to form a time-series record; acquiring the cumulative carbon emissions during the recycling stage, summarizing the energy consumption of the dismantling process and the emissions from material reprocessing; calculating the performance degradation trend through the power reduction rate and energy efficiency degradation degree, and assessing the carbon emission growth rate per unit time; and constructing a time distribution record containing the carbon emission growth value and performance degradation degree at each time node, arranged chronologically according to the growth rate.

[0005] Furthermore, determining the carbon emission allocation ratio for each stage based on the time distribution records and correcting the carbon intensity contribution weight throughout the entire life cycle includes: extracting the carbon emission growth rate for each stage from the time distribution records and calculating the allocation ratio per unit time for the production stage; obtaining the carbon emission increment ratio due to performance degradation during the usage stage and the energy consumption ratio for the recycling stage; determining the converted allocation ratio for each stage based on the ratio data; if the increment ratio during the usage stage exceeds a certain percentage of the initial design ratio, increasing the weight of the usage stage and correspondingly decreasing the weight of the production stage; redistributing the carbon intensity contribution weight for each stage through the adjusted weight coefficients, correcting the carbon intensity values ​​at each time node, and constructing the corrected carbon intensity change distribution.

[0006] Furthermore, the step of extracting the upper limit of the effective duration of carbon labels from the corrected carbon intensity change distribution, analyzing the degree of deviation, and adjusting the total carbon footprint accumulation includes: identifying time points in the corrected carbon intensity change distribution where the carbon intensity exceeds a preset proportion of the initial value as the upper limit of the effective duration; extracting the difference between the actual value and the nominal value of carbon intensity at each time point within the effective duration range, and calculating the deviation metric; analyzing the degree of deviation based on the deviation metric, and extracting the carbon emission growth rate caused by performance degradation; evaluating the amplification effect of performance degradation on carbon emissions during the usage phase through the growth rate, and determining the carbon emission amplification factor for each time period; calibrating the accumulated carbon emissions during the usage phase using the amplification factor, and combining the production and recycling phase data to obtain the adjusted total carbon footprint accumulation.

[0007] Furthermore, the assessment of the offsetting ratio of the carbon emission increment during the usage phase to the sharing advantage during the production phase, for the adjusted total cumulative carbon footprint, includes: extracting energy efficiency reduction data and calculating an energy consumption increase coefficient based on the difference between actual energy consumption and rated energy consumption; calculating the accelerated growth rate by comparing the energy consumption increase coefficient with the carbon emission growth rate, and assessing the accelerated impact of energy efficiency reduction on carbon emission growth; comparing the reduction in operating efficiency with a preset threshold, and if it exceeds the threshold, extracting the carbon emission increment during the usage phase for the corresponding period; and calculating the proportion of the excess increment by comparing the increment with the average annual sharing amount during the production phase, and determining the proportion of the carbon emission increment during the usage phase that offsets the sharing advantage during the production phase.

[0008] Furthermore, determining the critical time point for carbon footprint increase based on the offset ratio and optimizing the time period distribution within the effective duration of the carbon label includes: identifying the time node that achieves complete offset based on the offset ratio, and determining it as the critical time point for carbon footprint increase; extracting the operating efficiency value and performance degradation degree corresponding to the critical time point, and calculating the carbon intensity correction coefficient for each time node within the upper limit of the effective duration; adjusting the original carbon intensity through the correction coefficient to obtain the correction value for each time period; marking the effective and ineffective time periods based on the comparison between the correction value and the initial nominal value, and calculating the proportion of effective time periods; and using the proportion to construct an optimized distribution record that includes the actual carbon intensity value, effectiveness identifier, and performance degradation degree.

[0009] Furthermore, the step of using the lifecycle carbon intensity optimized distribution record to evaluate the matching degree between the cumulative carbon emission offsetting effect and the effective duration of the carbon label includes: extracting the difference between the actual and nominal carbon intensity values ​​at each time node from the lifecycle carbon intensity optimized distribution record, calculating the ratio of the cumulative difference to the amount allocated during the production stage as the offsetting effect; determining the matching degree evaluation value by the ratio of the offsetting effect to the upper limit of the effective duration; generating an effective period identifier based on the matching degree evaluation value; marking it as effective if the matching degree is higher than a preset threshold, otherwise marking it as ineffective; identifying factors that increase the carbon footprint by analyzing the performance degradation characteristics of the ineffective period, adjusting the performance parameters, and recalculating the carbon emission trajectory.

[0010] Furthermore, the process of generating the effective carbon label period identifier and determining the allocation scheme for extending the product's design life includes: generating the final effective carbon label period identifier based on the matching degree evaluation value; identifying the main factors leading to an increase in the carbon footprint by analyzing the performance degradation characteristics during the failure period; formulating mitigation measures and adjusting performance parameters based on the factors; recalculating the product's carbon emission trajectory using the adjusted parameters; and determining a design life extension scheme that includes optimized configuration of the service life and carbon emission allocation cycle based on the relationship between the cumulative rate of the trajectory and the original design life.

[0011] This invention provides a carbon emission data processing system based on carbon footprint detection. The system includes: a data acquisition module for acquiring carbon emission data of a product during its production, use, and recycling stages, and constructing a time distribution record reflecting product performance degradation and carbon emission growth; a carbon emission assessment module for determining the carbon emission allocation ratio for each stage based on the time distribution record, correcting the carbon intensity contribution weight throughout the entire life cycle, and generating a corrected carbon intensity change distribution; a weight correction module for extracting the upper limit of the effective duration of carbon labels from the corrected carbon intensity change distribution, analyzing the degree of deviation, and adjusting the total carbon footprint accumulation; a carbon label analysis module for assessing the offsetting ratio of carbon emission increments during the use stage to the allocation advantage during the production stage, based on the adjusted total carbon footprint accumulation; an offsetting ratio determination module for determining the critical time point for carbon footprint increase based on the offsetting ratio, optimizing the time period distribution within the effective duration of carbon labels, and constructing a life cycle carbon intensity optimized distribution record; and an optimized distribution generation module for using the life cycle carbon intensity optimized distribution record to assess the matching degree between the carbon emission accumulation offsetting effect and the effective duration of carbon labels, generating carbon label effective time period identifiers, and determining an allocation scheme for extending the product design life.

[0012] The technical solutions provided by the embodiments of the present invention may include the following beneficial effects: This invention discloses a carbon emission data processing method and system based on carbon footprint detection. The method addresses the business scenario where accelerated carbon emission growth due to power and energy efficiency reductions during a product's lifespan offsets the production phase's allocation advantages and makes it difficult to accurately determine the effective duration of carbon labels. By extracting the power and energy efficiency reduction rates from the product's lifespan records, identifying performance degradation trends, and assessing their impact on the rate of carbon emission growth per unit time, a carbon emission growth time distribution record is obtained. Based on this record and the degradation trend, the carbon emission allocation ratio for each stage is identified, the life-cycle carbon intensity contribution weight is reallocated, and a corrected carbon intensity change time distribution record is generated. From this, the upper limit of the carbon label's effective duration is determined, the degree of deviation is analyzed, and the usage phase is recalibrated. The cumulative carbon emissions of each stage are used to obtain the adjusted total carbon footprint. Based on this cumulative amount and the amount allocated during the production stage, the accelerated impact of energy consumption increase caused by reduced energy efficiency on carbon emission growth is assessed. The proportion of carbon emission increment during the usage stage offsetting the advantages of the production stage is determined, and the critical time point for carbon footprint increase is identified. The distribution of time periods within the effective duration is reassessed in conjunction with the magnitude of reduction in operating efficiency, resulting in a life cycle carbon intensity optimization time distribution record. Finally, based on this record and the decay magnitude, the matching degree between the carbon emission accumulation offset effect and the time limit is evaluated, generating the final carbon label effective time period identifier, identifying mitigation measures for the increase in total carbon footprint, and determining a sustainable allocation scheme for extending the product design life. This achieves precise optimization of the carbon footprint, improves product sustainability and carbon label accuracy. Attached Figure Description

[0013] Figure 1 This is a flowchart of a carbon emission data processing method based on carbon footprint detection according to the present invention.

[0014] Figure 2 This is a schematic diagram of a carbon emission data processing method based on carbon footprint detection according to the present invention.

[0015] Figure 3 This is a schematic diagram of the structure of a carbon emission data processing system based on carbon footprint detection according to the present invention. Detailed Implementation

[0016] To enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this specification, and not all embodiments. Based on the embodiments in this specification, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of this specification.

[0017] like Figure 1-3This embodiment of a carbon emission data processing method and system based on carbon footprint detection may specifically include: S101. Obtain the carbon emissions and carbon label validity period limit during the product's production, use, and recycling stages, assess the carbon emission growth rate caused by the product's performance degradation trend during its use cycle, and obtain a record of the carbon emission growth time distribution.

[0018] The carbon emission allocation during the product manufacturing stage is obtained by calculating the total emissions based on energy consumption records from raw material mining, component manufacturing, and assembly processes. These emissions are then evenly allocated according to the product's design lifespan to obtain the carbon emission allocation per unit time. The cumulative carbon emissions during the usage stage are extracted by monitoring product operating power, working hours, and standby energy consumption data, and summing the carbon emissions corresponding to actual power consumption in each time period to form a time-series record of carbon emissions during the usage stage. The cumulative carbon emissions during the recycling stage are obtained by summarizing energy consumption from the dismantling process and emissions from material reprocessing. The power degradation rate is extracted from the usage year records, and the difference between the product's initial rated power and the current measured power is compared to calculate the power attenuation rate caused by refrigerant leakage and compressor wear. The degree of energy efficiency degradation is determined by the change in the ratio of cooling capacity to input power. Based on the time-series carbon emission records for the usage stage, the power attenuation rate and the degree of energy efficiency degradation are substituted into the carbon emission calculation formula to identify the performance degradation trend of the product within its usage cycle. Based on the performance degradation trend, the carbon emission growth rate per unit time is evaluated. This growth rate is equal to the difference between the carbon emissions in the current period and the initial period, divided by the time interval. The carbon emission growth rate per unit time is arranged in chronological order to construct a carbon emission growth time distribution record. This record includes the carbon emission growth value at each time point and the corresponding performance degradation degree, thus obtaining a carbon emission growth time distribution record that reflects the dynamic changes in carbon emissions throughout the product's entire life cycle.

[0019] For example, when obtaining the carbon emission allocation for each stage of product manufacturing, it is necessary to track the carbon footprint of the entire air conditioner manufacturing process. Carbon emissions are calculated starting from the mining of raw materials such as copper pipes and aluminum fins, and then adding up the carbon emissions corresponding to the electricity, natural gas, and other energy consumed in each manufacturing process, including stamping, welding, and assembly. When the air conditioner's design life is ten years, the total emissions during the production stage are divided by ten years to obtain the annual carbon emission allocation per unit time.

[0020] For example, the carbon emission time-series record during the usage phase is constructed by real-time monitoring of air conditioner operation data using smart meters. The smart meter records the actual power consumption of the air conditioner every hour, converting the power consumption into carbon emissions based on a preset local grid carbon emission factor. The carbon emission time-series record includes not only energy consumption during cooling operation but also carbon emission data under different operating states such as standby mode, defrost cycle, and auxiliary heating, forming a complete time series. The power decay rate is calculated by comparing the air conditioner's initial rated power with its actual operating power.

[0021] For example, an air conditioner with a rated power of 2 kilowatts will have its actual power reduced to 1,800 watts after three years of use, representing a power degradation rate of 10%. This power degradation is mainly due to factors such as decreased compression ratio caused by internal wear of the compressor, minor refrigerant leakage due to aging seals, and scale buildup on the condenser surface affecting heat exchange efficiency. The degree of energy efficiency degradation is reflected by changes in the ratio of cooling capacity to input power; when the cooling capacity remains constant while the input power increases, it indicates that energy efficiency is decreasing.

[0022] In one embodiment, identifying performance degradation trends requires comprehensive consideration of degradation characteristics across multiple dimensions. By substituting the power degradation rate and energy efficiency degradation degree into the carbon emission calculation formula (i.e., carbon emissions equal electricity consumption multiplied by the carbon emission factor), and considering the additional electricity consumption caused by reduced energy efficiency, the actual carbon emission level of the product at different service years can be identified. Constructing a record of the carbon emission growth time distribution requires monthly evaluation of the carbon emission growth rate per unit time. This growth rate is obtained by subtracting the average daily carbon emissions of the first month from the average daily carbon emissions of the current month, and then dividing by the number of months elapsed. Arranging the carbon emission growth values ​​at each time point in chronological order, and combining this with performance parameters such as compressor efficiency and refrigerant charge at the corresponding time points, a complete record reflecting the dynamic changes in carbon emissions throughout the entire life cycle of the air conditioner is constructed.

[0023] S102. Based on the performance degradation trend and the time distribution record of carbon emission growth, identify the carbon emission conversion allocation ratio of each stage, reallocate the carbon intensity contribution weight of each stage in the whole life cycle, and obtain the corrected carbon intensity change time distribution record.

[0024] Based on the performance degradation trend and the time distribution record of carbon emission growth, the actual carbon emission growth rate of each stage is extracted. The proportion of the unit time allocation of the production stage to the total carbon emissions of the entire life cycle is calculated. The cumulative increase in carbon emissions due to performance degradation in the usage stage is obtained. The energy consumption of the recycling stage is divided by the total emissions of the entire life cycle to obtain the proportion of the recycling stage. The carbon emission conversion allocation ratios of the production stage, usage stage, and recycling stage are identified. According to the carbon emission conversion allocation ratios, if the cumulative increase in the usage stage exceeds 20% of the initial design ratio, the weight of the usage stage is increased by the corresponding percentage points from the original ratio, while the allocation weight of the production stage is reduced proportionally, keeping the sum of the weights of the three stages at one. The carbon intensity contribution weight of each stage in the entire life cycle is redistributed through the adjusted weight coefficients. Using the carbon intensity contribution weights, the original carbon intensity data is multiplied by the weight coefficient of the corresponding stage. Based on the correspondence between the actual operating years of the product and the degree of performance degradation, the carbon intensity values ​​at each time point are corrected. The corrected values ​​are arranged in chronological order to construct a time distribution record of the corrected carbon intensity changes.

[0025] For example, identifying carbon emission offsetting ratios requires comprehensive consideration of the actual emission characteristics at each stage of the product's entire life cycle.

[0026] Specifically, the actual carbon emission growth rate at each stage is extracted based on the performance degradation trend. For household air conditioning products, carbon emissions during the production stage mainly include energy consumption emissions from compressor manufacturing, heat exchanger processing, and refrigerant charging. These total emissions are divided by the product's design life to obtain the annual average allocation, and then divided by the total emissions over the entire life cycle to obtain the production stage's proportion. The calculation of the cumulative increase proportion during the usage stage needs to consider the cumulative effect of performance degradation. The cumulative increase in carbon emissions due to performance degradation refers to the sum of the differences between actual operating carbon emissions and ideal state carbon emissions.

[0027] For example, in the fifth year of an air conditioner's use, due to heat exchanger fouling and refrigerant leakage, the actual power consumption increases by 15% compared to the initial state. This accumulated increase, as a percentage of the total emissions over the entire lifecycle, is the cumulative incremental percentage. The recycling stage percentage is obtained by dividing the sum of energy consumption during dismantling, emissions from material separation and treatment, and emissions from refrigerant recovery and disposal by the total emissions over the entire lifecycle. The redistribution of carbon intensity contribution weights employs a dynamic adjustment mechanism. When the cumulative incremental percentage during the usage stage exceeds 20% of the initial design percentage, a weight adjustment procedure is triggered. The initial design percentage refers to the estimated proportion of emissions during the usage stage to the total lifecycle during product design, typically 70% to 80%. During weight adjustment, the usage stage weight is increased by the same percentage point as the excess, while the production stage weight is reduced accordingly, ensuring that the sum of the weights for the three stages remains constant at one, achieving a reasonable allocation of carbon emission responsibility.

[0028] In one embodiment, the construction of the corrected carbon intensity change time distribution record is achieved through monthly correction. Using the carbon intensity contribution weight, the original carbon intensity data for each month is multiplied by the adjusted weight coefficient for the corresponding stage. Differential corrections are performed at each time point based on the functional relationship between the actual operating years of the product and the degree of performance degradation.

[0029] For example, performance degradation is slow in the early stages of use, with the correction factor close to one; degradation accelerates in the middle and later stages of use, and the correction factor gradually increases. The corrected monthly carbon intensity values ​​are arranged in chronological order to form a time distribution record reflecting the dynamic changes in the product's actual carbon emissions.

[0030] S103. Determine the upper limit of the effective duration of the carbon label from the corrected carbon intensity change time distribution record, analyze the degree of deviation of the record within the effective duration range, and obtain the adjusted total carbon footprint accumulation.

[0031] From the corrected carbon intensity change time distribution record, time points where the carbon intensity exceeds 10% of the initial value are identified as the upper limit of the effective duration of the carbon label. The actual and nominal carbon intensity values ​​at each time point within the effective duration are extracted. The square root of the sum of the squares of the differences between the two values, divided by the number of time points, yields the carbon label deviation metric. Based on this deviation metric, the degree of deviation within the effective duration is analyzed. The carbon emission growth rate caused by performance degradation is extracted from the corrected carbon intensity change time distribution record. This growth rate is multiplied by the initial period's carbon emissions to assess the amplification effect of the performance degradation trend on the carbon emissions per unit time during the usage phase, determining the carbon emission amplification factor for each period. Using the carbon emission amplification factors for each period, the cumulative carbon emissions during the usage phase are recalibrated. The original cumulative emissions during the usage phase are added to the additional emission increment corresponding to the amplification factor for each period to obtain the total emissions during the calibrated usage phase. Combined with the carbon emission allocation during the production phase and the cumulative carbon emissions during the recycling phase, the adjusted total cumulative carbon footprint is obtained.

[0032] For example, in one implementation, the upper limit of the carbon label's validity period is determined based on a threshold judgment mechanism for carbon intensity changes. Carbon intensity values ​​are extracted monthly from the corrected carbon intensity change time distribution record. When the carbon intensity in a certain month exceeds 10% of the product's initial carbon intensity, that time point is the upper limit of the carbon label's validity period.

[0033] For example, if the initial carbon intensity of an air conditioner is 50 kg of CO2 equivalent per month, and the carbon intensity reaches 55 kg in the 60th month, the effective duration is set to a maximum of 60 months.

[0034] Specifically, the carbon label deviation metric is calculated using statistical methods. Within the specified effective timeframe, the actual carbon intensity value for each month is extracted; this value originates from actual operational monitoring data. Simultaneously, the nominal carbon label value, i.e., the standard carbon intensity value declared when the product leaves the factory, is obtained. The squared differences between the actual and nominal values ​​at each time point are summed, divided by the total number of time points, and the square root is taken to obtain the root mean square deviation, which serves as the carbon label deviation metric. This metric reflects the overall degree of deviation between the product's actual carbon emissions and the declared value.

[0035] It should be noted that the amplification effect of performance degradation on carbon emissions is achieved through growth rate analysis. From the corrected carbon intensity change time distribution record, the carbon emission change in adjacent time periods is extracted and divided by the time interval to obtain the carbon emission growth rate. This growth rate is multiplied by the initial carbon emission amount to obtain the additional carbon emission increment caused by performance degradation. When the compressor efficiency drops from 90% to 75%, approximately 20% more power consumption is required to maintain the same cooling capacity; this additional consumption constitutes the carbon emission amplification factor.

[0036] Preferably, the recalibration of cumulative carbon emissions during the usage phase employs a segmented accumulation method. The usage phase is divided into multiple time periods, and an additional emission increment is calculated for each time period based on its corresponding carbon emission amplification factor. The additional emission increment is equal to the difference between the baseline emission amount for that time period and the amplification factor minus one. The baseline emissions for all time periods are summed with the additional emission increments to obtain the total emissions for the calibrated usage phase.

[0037] In one embodiment, the adjusted total carbon footprint is obtained by summing emissions from three phases. The total emissions from the calibrated use phase, the carbon emission allocation from the production phase, and the cumulative carbon emissions from the recycling phase are added together to obtain the adjusted total carbon footprint over the entire product lifecycle. This cumulative amount truly reflects the product's carbon emission level after taking performance degradation into account.

[0038] S104. Based on the adjusted total carbon footprint accumulation and the carbon emission allocation during the production phase, determine the offset ratio of the carbon emission increment during the usage phase to offset the advantage of the allocation during the production phase.

[0039] For the adjusted total cumulative carbon footprint and the carbon emission allocation during the production phase, data on the reduction in energy efficiency are extracted. An energy consumption increase coefficient is calculated based on the difference between the actual energy consumption and the rated energy consumption. This coefficient is then multiplied by the growth rate at each time point in the carbon emission growth time distribution record to obtain the accelerated carbon emission growth rate. This identifies the degree of acceleration of the energy consumption increase caused by energy efficiency reduction on the carbon emission growth time distribution record. Based on this acceleration, the reduction in operating efficiency is assessed by comparing the change in the ratio of the product's rated cooling capacity to its actual input power. If the reduction in operating efficiency exceeds a preset threshold, the carbon emission increment during the corresponding usage period is extracted. This increment is compared with the average annual allocation during the production phase to obtain the ratio of the increment to the allocation. Using this ratio, it is determined when the carbon emission increment during the usage phase begins to exceed the allocation during the production phase. When the ratio is greater than one, this time point is marked as the offset starting point. The excess portion of the cumulative carbon emission increment during the usage phase exceeding the cumulative allocation during the production phase is calculated from the offset starting point to the end of the product's design life. The offset ratio of the excess portion to the carbon emission allocation during the production stage is determined by the proportion of the excess portion to the carbon emission allocation during the production stage. The offset ratio reflects the degree to which the carbon emission increase caused by performance degradation weakens the carbon footprint of the product throughout its entire life cycle.

[0040] For example, in one implementation, the calculation of the energy consumption increase factor needs to comprehensively consider multiple factors of product performance degradation. The specific value of the energy consumption increase is obtained by comparing the product's current actual energy consumption with its rated energy consumption at the time of manufacture.

[0041] For example, an air conditioner with a rated power of 2 kilowatts will have an actual operating power of 2,400 watts after five years of use, resulting in an energy consumption increase factor of 1.2. This energy consumption increase factor is multiplied by the original growth rate in the carbon emission growth time distribution record to obtain the accelerated carbon emission growth rate. If the original monthly growth rate is 0.5%, multiplying it by the 1.2 energy consumption increase factor results in an accelerated monthly growth rate of 0.6%, and this acceleration effect exhibits a cumulative characteristic over time. The degree of acceleration is quantified by comparing the change in the slope of the carbon emission growth curve before and after acceleration. The degree of acceleration is equal to the difference between the accelerated growth rate and the original growth rate divided by the original growth rate. When compressor wear leads to a decrease in compression ratio, minor refrigerant leakage leads to insufficient refrigerant charge, and fouling on the heat exchanger surface leads to a decrease in heat transfer efficiency, these factors combine to cause the energy consumption increase factor to rise continuously, thereby amplifying the rate of carbon emission growth. By establishing time series records and tracking the changes in the degree of acceleration each month, the dynamic impact of performance degradation on carbon emission growth can be identified.

[0042] Preferably, the assessment of the reduction in operating efficiency uses the rate of change in the energy efficiency ratio (EER) as the core indicator. Operating efficiency is calculated as the ratio of rated cooling capacity to actual input power. The initial EER is 3.5, meaning that 3.5 kilowatts of cooling capacity are generated for every kilowatt of electricity consumed. As the service life increases, when the EER drops to 2.8, the reduction in operating efficiency is 20%. This reduction in operating efficiency directly affects the increase in carbon emissions during the service life phase. For every 10% decrease in efficiency, the increase in carbon emissions increases by approximately 11%. This non-linear relationship leads to a rapid accumulation of carbon emissions in the later stages.

[0043] In one possible implementation, calculating the ratio of incremental carbon emissions during the usage phase to the average annual allocation during the production phase requires precise data. The average annual allocation during the production phase is obtained by dividing the total carbon emissions during the production phase by the design lifespan. For example, producing one air conditioner generates 800 kg of CO2 equivalent, with a design lifespan of ten years, resulting in an average annual allocation of 80 kg. The incremental carbon emissions during the usage phase in a given year refers to the difference between the actual carbon emissions of that year and the ideal carbon emissions. When the incremental carbon emissions in the seventh year reach 100 kg, the ratio is 1.25, indicating that the additional emissions during the usage phase have exceeded the emission reduction benefits allocated during the production phase. Identifying the offsetting starting point is crucial in determining when the product's carbon footprint optimization effect fails. When the ratio of incremental carbon emissions during the usage phase to the average annual allocation during the production phase first exceeds one, it means that the additional carbon emissions caused by performance degradation begin to offset the allocation advantage brought by the extended design lifespan. From the offsetting starting point, for every additional day the product is used, its carbon footprint increases rather than decreases.

[0044] For example, if an air conditioner's carbon emission ratio reaches 1.02 in the sixth year, then the sixth year is marked as the offsetting starting point. From the sixth year to the end of its design life in the tenth year, the cumulative increase in carbon emissions during the usage phase is 450 kg, while the cumulative amount allocated during the production phase is only 320 kg, resulting in an excess of 130 kg.

[0045] Specifically, the calculation of the excess requires cumulatively offsetting the net increase after the initial point each year. The net increase each year equals the increase in carbon emissions during the usage phase minus the average annual allocation during the production phase. The net increase in year six is ​​20 kg, in year seven it is 40 kg, and in year eight it is 65 kg, with the increasing trend reflecting the accelerating performance degradation. The total excess is obtained by summing the net increases of each year; this value represents the additional carbon emission burden caused by the later stages of product use.

[0046] Understandably, determining the offset ratio provides a quantitative indicator for assessing a product's carbon footprint throughout its entire lifecycle. The offset ratio equals the excess amount divided by the carbon emission allocation during the production phase. When the excess amount is 130 kg and the total allocation during the production phase is 800 kg, the offset ratio is 16.25%. This ratio reflects the degree to which performance degradation weakens the carbon footprint optimization effect; a higher ratio indicates a worse emission reduction effect of the product's designed lifespan extension strategy. Furthermore, the physical significance of the offset ratio lies in quantitatively assessing the degree of credibility degradation of the product's carbon label. When the offset ratio exceeds 20%, the emission reduction benefits declared by the original carbon label become essentially ineffective, and continued use actually increases total carbon emissions. By establishing a correlation between the offset ratio and the service life, a scientific basis is provided for determining the reasonable service life and replacement cycle of a product, enabling dynamic management of the product's carbon footprint throughout its entire lifecycle.

[0047] S105. Determine the critical time point for carbon footprint increase based on the offsetting ratio of carbon emission increments during the usage phase to the production phase allocation advantage, reassess the time period distribution within the upper limit of the effective duration of carbon labels, and obtain the life cycle carbon intensity optimization time distribution record.

[0048] Based on the offsetting ratio of carbon emission increases during the usage phase to the reduction benefits shared during the production phase, the time point when the offsetting ratio reaches 100% is identified and designated as the critical time point for carbon footprint increase. This critical time point marks the moment when the growth rate of carbon emissions during the product usage phase exceeds the emission reduction benefits shared during the production phase. Combining the decrease in operating efficiency and the performance degradation trend, the operating efficiency value and performance degradation degree corresponding to the critical time point are extracted. The carbon intensity correction coefficient for each time point within the upper limit of the carbon label's effective duration is calculated based on the product relationship between the efficiency value and the degradation degree. This correction coefficient is multiplied by the original carbon intensity to obtain the corrected carbon intensity value for each time period. Using these corrected carbon intensity values, the time period distribution within the upper limit of the carbon label's effective duration is reassessed. The corrected carbon intensity value for each time period is compared with the product's initial nominal carbon intensity value. If it is lower than the nominal value, it is marked as an effective time period; if it is higher than the nominal value, it is marked as an ineffective time period. The proportion of effective time periods to total time periods is calculated. By using the effective time period percentage, an optimized time distribution record of carbon intensity throughout the product lifecycle is constructed. The record includes the actual carbon intensity value, validity indicator, and performance degradation degree at each time node. The carbon intensity change trend before and after the critical time point is continuously recorded to obtain an optimized time distribution record that reflects the dynamic change of carbon intensity throughout the product lifecycle.

[0049] For example, in one implementation, the determination of the critical time point for carbon footprint increase is based on a dynamic monitoring mechanism of offset ratios. Starting from the time the product is put into use, the cumulative ratio of the increase in carbon emissions during the use phase to the amount allocated during the production phase is calculated monthly. When the offset ratio in a certain month first reaches 100%, that time point is the critical time point for carbon footprint increase.

[0050] For example, a certain model of air conditioner has a total carbon emission of 800 kg of CO2 equivalent during its production phase, a designed lifespan of ten years, and an average annual allocation of 80 kg. By the third month of the sixth year, the cumulative increase in carbon emissions exactly equals the cumulative allocated amount, achieving a 100% offset ratio. The third month of the sixth year is the critical time point. The physical significance of this critical time point is that from this moment on, the carbon emission increase from continued use of the product will exceed the allocated emission reduction benefits gained from extending its lifespan, and the product enters a phase of net increase in its carbon footprint. The timing of the critical time point is closely related to the product's performance degradation rate. Products with slow performance degradation experience a later critical time point, possibly even after the design lifespan ends; products with rapid performance degradation experience an earlier critical time point, and the carbon label's validity period is correspondingly shortened. Identifying critical time points provides a scientific time reference for product upgrades, avoiding increased total carbon emissions due to overuse of old equipment.

[0051] Preferably, the carbon intensity correction factor is calculated using a composite evaluation method of operating efficiency and performance degradation. The operating efficiency value corresponding to the critical time point is extracted; this value is obtained as the ratio of actual cooling capacity to input power. Simultaneously, the performance degradation degree is acquired, including the weighted average of compressor efficiency degradation rate, heat exchanger heat transfer coefficient reduction rate, and refrigerant charge loss rate. The operating efficiency value is multiplied by the performance degradation degree to obtain the comprehensive degradation factor. The carbon intensity correction factor is equal to one plus the comprehensive degradation factor, used to adjust the carbon intensity baseline value at each time point. When the operating efficiency is 80% of the initial value and the performance degradation degree is 25%, the comprehensive degradation factor is 0.8 × 0.25 = 0.2, and the correction factor is 1.2, indicating that the actual carbon intensity is 20% higher than the baseline value.

[0052] In one possible implementation, the calculation of the corrected carbon intensity value for each time period needs to consider the non-linear changes over time. Each time point within the upper limit of the carbon label's effective duration has a corresponding original carbon intensity value and a correction factor. Multiplying the two yields the corrected carbon intensity value, which reflects the actual carbon emission intensity after considering performance degradation.

[0053] For example, the initial monthly carbon intensity in the third year is 50 kg, the correction factor is 1.08, and the corrected carbon intensity value is 50 × 1.08 kg; the initial monthly carbon intensity in the seventh year is still 50 kg, but the correction factor rises to 1.35, and the corrected carbon intensity value reaches 50 × 1.35 kg. This difference reflects the characteristic that the amplification effect of performance degradation on carbon emissions increases over time.

[0054] For example, the validity of a time period is assessed using a threshold comparison method. The initial nominal carbon intensity value of the product is a baseline value measured under standard operating conditions at the time of manufacture, representing the product's carbon emission level under ideal conditions. The corrected carbon intensity value for each time period is compared with the nominal value one by one. When the corrected value is lower than or equal to the nominal value, the time period is marked as a valid time period, indicating that the product's actual carbon emissions are still within an acceptable range; when the corrected value is higher than the nominal value, it is marked as an invalid time period, meaning that the product's carbon emissions have exceeded the declared level.

[0055] Specifically, the statistics on the percentage of effective time periods provide a quantitative indicator for assessing the credibility of carbon labels. Within the upper limit of the effective duration of carbon labels, the number of all effective time periods is counted, and divided by the total number of time periods to obtain the percentage of effective time periods. When the percentage is higher than 70%, the carbon label is basically credible; when the percentage is between 50% and 70%, the carbon label is partially invalid; when the percentage is lower than 50%, the carbon label is severely distorted and should be updated or revoked. The life cycle carbon intensity optimization time distribution record adopts a time series structure, with each time node containing three core data items: actual carbon intensity value, validity indicator, and performance degradation degree. The actual carbon intensity value records the true emission level at that time point, the validity indicator indicates whether the carbon label is valid at that time point, and the performance degradation degree quantifies the aging state of the equipment. By continuously recording the data changes before and after the critical time point, a complete carbon intensity evolution trajectory is formed. The data before the critical point shows a slow upward trend, an inflection point appears near the critical point, and the upward trend accelerates after the critical point. This S-shaped curve characteristic provides a basic model for predicting changes in the product's carbon footprint. The optimization time distribution record not only records historical data but also has trend prediction capabilities. Based on existing patterns of carbon intensity change, future carbon emission trends can be predicted, providing decision support for formulating product upgrade plans and carbon reduction strategies.

[0056] S106. Based on the life cycle carbon intensity optimization time distribution record, generate carbon label effective period identifiers based on the matching degree evaluation results of the cumulative carbon emission offset effect and the upper limit of carbon label effective duration, and determine a sustainable allocation scheme for extending the product design life.

[0057] Based on the lifecycle carbon intensity optimization time distribution records and power and energy efficiency reduction rates, the difference between the actual carbon intensity value and the initial nominal carbon intensity value at each time point is extracted. The cumulative difference is divided by the total allocation during the production stage to evaluate the carbon emission offsetting effect. The ratio of the offsetting effect to the upper limit of the carbon label's effective duration is used as the matching degree evaluation value. Based on the matching degree evaluation value, the final carbon label effective period identifier is generated. If the matching degree is higher than a preset threshold, the corresponding period is marked as effective; if it is lower than the threshold, it is marked as ineffective. By analyzing the performance degradation characteristics of the ineffective period, the main factors leading to the increase in carbon footprint are identified, and corresponding mitigation measures are determined. Using the performance parameters adjusted by the mitigation measures, the product's carbon emission trajectory is recalculated. Based on the relationship between the carbon footprint accumulation rate of the adjusted trajectory and the original design life, a sustainable allocation scheme for extending the product's design life is determined. This scheme includes the optimized configuration of the product's service life and the carbon emission allocation cycle.

[0058] For example, in one implementation, the matching degree assessment value is calculated using a ratio analysis method. The actual carbon intensity values ​​for each month are extracted from the lifecycle carbon intensity optimization time distribution records, and each is compared with the product's initial nominal carbon intensity value to calculate the difference. All difference values ​​are summed to obtain the total difference, which reflects the degree to which the product's actual carbon emissions deviate from the ideal state. The total difference is divided by the total allocation during the production phase to obtain a quantitative indicator of the cumulative carbon emission offsetting effect. The matching degree assessment value is determined through the relationship between the offsetting effect and the upper limit of the carbon label's validity period. The upper limit of the carbon label's validity period represents the longest validity period of the product's carbon label declaration; for example, it is typically sixty months for air conditioning products. The cumulative carbon emission offsetting effect is divided by the upper limit of the validity period to obtain the average offsetting rate per unit time. When the average offsetting rate is below a preset threshold, the matching degree is high, indicating that the carbon label declaration matches the actual performance; when it exceeds the threshold, the matching degree is low, and the carbon label needs adjustment.

[0059] Preferably, the generation of the final carbon label validity period is based on a threshold judgment mechanism. The preset threshold is typically set at 20%. When the matching degree assessment value is higher than 80%, the corresponding period is marked as valid, and the carbon label is reliable within that period; when it is lower than 80%, it is marked as invalid. By analyzing the power reduction and energy efficiency reduction characteristics of the invalid period, the main factors leading to an increase in the carbon footprint are identified, such as compressor aging, refrigerant leakage, and heat exchanger fouling. Corresponding mitigation measures are then determined for these factors, including regular heat exchanger cleaning, refrigerant replenishment, and replacement of aging components.

[0060] For example, determining a sustainable carbon emission allocation scheme requires recalculating the adjusted carbon emission trajectory. Adjusted performance parameters using mitigation measures, such as increasing heat exchange efficiency by 15% and restoring compressor efficiency to 90%, are substituted into the carbon emission calculation formula to obtain the optimized monthly carbon emissions. Based on the carbon footprint accumulation rate of the adjusted trajectory, the total carbon emissions of the product over different service lifespans are assessed. The lowest total carbon emissions are observed over an eight-year service life, thus eight years is determined as the optimal service life. This scheme includes an optimized configuration of the product's service life and carbon emission allocation cycle, achieving dynamic optimization management of the product's carbon footprint throughout its entire lifecycle by balancing the allocation benefits of extended use with the emission increases caused by performance degradation.

[0061] This invention provides a carbon emission data processing system based on carbon footprint detection. The system includes: a data acquisition module for acquiring carbon emission data of a product during its production, use, and recycling stages, and constructing a time distribution record reflecting product performance degradation and carbon emission growth; a carbon emission assessment module for determining the carbon emission allocation ratio for each stage based on the time distribution record, correcting the carbon intensity contribution weight throughout the entire life cycle, and generating a corrected carbon intensity change distribution; a weight correction module for extracting the upper limit of the effective duration of carbon labels from the corrected carbon intensity change distribution, analyzing the degree of deviation, and adjusting the total carbon footprint accumulation; a carbon label analysis module for assessing the offsetting ratio of carbon emission increments during the use stage to the allocation advantage during the production stage, based on the adjusted total carbon footprint accumulation; an offsetting ratio determination module for determining the critical time point for carbon footprint increase based on the offsetting ratio, optimizing the time period distribution within the effective duration of carbon labels, and constructing a life cycle carbon intensity optimized distribution record; and an optimized distribution generation module for using the life cycle carbon intensity optimized distribution record to assess the matching degree between the carbon emission accumulation offsetting effect and the effective duration of carbon labels, generating carbon label effective time period identifiers, and determining an allocation scheme for extending the product design life. The above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. 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 present invention, and all such modifications and substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A carbon emission data processing method based on carbon footprint detection, characterized in that, The method comprises the following steps: obtaining carbon emission data of the product in the production, use and recycling stages, and constructing a time distribution record reflecting the performance degradation and carbon emission growth of the product; determining the carbon emission allocation ratio of each stage according to the time distribution record, correcting the carbon intensity contribution weight in the whole life cycle, generating a corrected carbon intensity change distribution, extracting the upper limit of the effective duration of the carbon label from the corrected carbon intensity change distribution, analyzing the deviation degree and adjusting the total carbon footprint accumulation, evaluating the offset proportion of the production stage allocation advantage by the use stage carbon emission increment for the adjusted total carbon footprint accumulation, determining the critical time point of the carbon footprint rise according to the offset proportion, optimizing the time period distribution within the effective duration of the carbon label, and constructing a life cycle carbon intensity optimization distribution record; using the life cycle carbon intensity optimization distribution record to evaluate the matching degree of the carbon emission accumulation offset effect and the effective duration of the carbon label, generating a carbon label effective time period identifier and determining the allocation scheme for prolonging the design life of the product.

2. The carbon emission data processing method based on carbon footprint detection according to claim 1, characterized in that, The method comprises the following steps:

3. The carbon emission data processing method based on carbon footprint detection according to claim 1, wherein, obtaining carbon emission data of the product in the production, use and recycling stages, and constructing a time distribution record reflecting the performance degradation and carbon emission growth of the product; determining the carbon emission allocation ratio of each stage according to the time distribution record, correcting the carbon intensity contribution weight in the whole life cycle, generating a corrected carbon intensity change distribution, extracting the upper limit of the effective duration of the carbon label from the corrected carbon intensity change distribution, analyzing the deviation degree and adjusting the total carbon footprint accumulation, evaluating the offset proportion of the production stage allocation advantage by the use stage carbon emission increment for the adjusted total carbon footprint accumulation, determining the critical time point of the carbon footprint rise according to the offset proportion, optimizing the time period distribution within the effective duration of the carbon label, and constructing a life cycle carbon intensity optimization distribution record; using the life cycle carbon intensity optimization distribution record to evaluate the matching degree of the carbon emission accumulation offset effect and the effective duration of the carbon label, generating a carbon label effective time period identifier and determining the allocation scheme for prolonging the design life of the product. The method comprises the following steps: obtaining carbon emission data of the product in the production, use and recycling stages, and constructing a time distribution record reflecting the performance degradation and carbon emission growth of the product; determining the carbon emission allocation ratio of each stage according to the time distribution record, correcting the carbon intensity contribution weight in the whole life cycle, generating a corrected carbon intensity change distribution, extracting the upper limit of the effective duration of the carbon label from the corrected carbon intensity change distribution, analyzing the deviation degree and adjusting the total carbon footprint accumulation, evaluating the offset proportion of the production stage allocation advantage by the use stage carbon emission increment for the adjusted total carbon footprint accumulation, determining the critical time point of the carbon footprint rise according to the offset proportion, optimizing the time period distribution within the effective duration of the carbon label, and constructing a life cycle carbon intensity optimization distribution record; using the life cycle carbon intensity optimization distribution record to evaluate the matching degree of the carbon emission accumulation offset effect and the effective duration of the carbon label, generating a carbon label effective time period identifier and determining the allocation scheme for prolonging the design life of the product.

4. The carbon emission data processing method based on carbon footprint detection according to claim 1, wherein, The extracting of the upper limit of the carbon label effective duration from the corrected carbon intensity change distribution, the analysis of the deviation degree and the adjustment of the total carbon footprint cumulative amount, comprising: identifying the time node of the carbon intensity exceeding the initial value preset proportion as the upper limit of the effective duration from the corrected carbon intensity change distribution; extracting the difference between the actual value and the nominal value of the carbon intensity at each time point in the effective duration range, calculating the deviation metric value; analyzing the deviation degree according to the deviation metric value, extracting the carbon emission growth rate caused by performance degradation; evaluating the amplification effect of performance degradation on the use stage carbon emission amount through the growth rate, determining the amplification multiple of carbon emission in each period; using the amplification multiple to calibrate the cumulative carbon emission in the use stage, combining the production and recovery stage data to obtain the adjusted total carbon footprint cumulative amount.

5. The carbon emission data processing method based on carbon footprint detection according to claim 1, wherein, The evaluation of the offset proportion of the use stage carbon emission increment to the production stage allocation advantage according to the adjusted total carbon footprint cumulative amount, comprising: extracting the energy efficiency reduction amplitude data, calculating the energy consumption increase coefficient according to the difference between the actual energy consumption and the rated energy consumption; calculating the accelerated growth rate through the energy consumption increase coefficient and the carbon emission growth rate, evaluating the acceleration effect of energy efficiency reduction on carbon emission growth; comparing the running efficiency reduction amplitude with the preset threshold value, if it exceeds the threshold value, extracting the use stage carbon emission increment corresponding to the period; comparing the increment with the average annual allocation amount of the production stage, calculating the proportion of the excess part of the increment, determining the proportion of the use stage carbon emission increment offsetting the allocation advantage of the production stage.

6. The carbon emission data processing method based on carbon footprint detection according to claim 1, wherein, The determination of the carbon footprint rising critical time point according to the offset proportion, and the optimization of the period distribution within the carbon label effective duration, comprising: identifying the time node reaching complete offset according to the offset proportion, determining as the carbon footprint rising critical time point; extracting the running efficiency value and performance degradation degree corresponding to the critical time point, calculating the carbon intensity correction coefficient of each time node within the upper limit of the effective duration; adjusting the original carbon intensity through the correction coefficient to obtain the correction value of each period; comparing the correction value with the initial nominal value according to the correction value, marking the effective and ineffective periods, and calculating the proportion of the effective period; using the proportion to construct an optimized distribution record containing the actual value of carbon intensity, the effectiveness identification and the performance degradation degree.

7. The carbon emission data processing method based on carbon footprint detection according to claim 1, wherein, The evaluation of the matching degree of the carbon emission cumulative offset effect and the carbon label effective duration using the life cycle carbon intensity optimized distribution record, comprising: extracting the difference between the actual value and the nominal value of the carbon intensity at each time node from the life cycle carbon intensity optimized distribution record, calculating the ratio of the cumulative difference amount to the production stage allocation amount as the offset effect; determining the matching degree evaluation value through the ratio of the offset effect to the upper limit of the effective duration; generating an effective period identification according to the matching degree evaluation value; if the matching degree is higher than the preset threshold value, marking as effective, otherwise marking as ineffective; identifying the carbon footprint rising factors by analyzing the performance degradation characteristics of the ineffective period, adjusting the performance parameters to recalculate the carbon emission trajectory.

8. The carbon emission data processing method based on carbon footprint detection according to claim 1, wherein, The generated carbon label effective time period identification determines and identifies the product design life extension apportionment scheme, comprising: generating the final carbon label effective time period identification according to the matching degree evaluation value; determining the main factors leading to the increase of carbon footprint by analyzing the performance attenuation characteristics of the invalid time period; formulating mitigation measures according to the factors, adjusting the performance parameters; recalculating the product carbon emission trajectory through the adjusted parameters; determining the design life extension scheme containing the use period and carbon emission apportionment cycle optimization configuration according to the relationship between the cumulative speed of the trajectory and the original design life.

9. A carbon emission data processing system based on carbon footprint detection, characterized by, The system comprises: a data acquisition module for acquiring carbon emission data of products in the production, use and recycling stages, and constructing a time distribution record reflecting the performance attenuation and carbon emission growth of the products; a carbon emission evaluation module for determining the carbon emission apportionment proportion of each stage according to the time distribution record, correcting the carbon intensity contribution weight in the whole life cycle, and generating a corrected carbon intensity change distribution; a weight correction module for extracting the upper limit of the carbon label effective time length from the corrected carbon intensity change distribution, analyzing the deviation degree and adjusting the total carbon footprint accumulation; a carbon label analysis module for evaluating the offset proportion of the use stage carbon emission increment to the production stage apportionment advantage for the adjusted total carbon footprint accumulation; an offset proportion determination module for determining the carbon footprint increase critical time point according to the offset proportion, optimizing the time period distribution within the carbon label effective time length, and constructing a life cycle carbon intensity optimization distribution record; an optimization distribution generation module for evaluating the matching degree of the carbon emission accumulation offset effect and the carbon label effective time length by using the life cycle carbon intensity optimization distribution record, generating the carbon label effective time period identification and determining the product design life extension apportionment scheme.

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