A method for accounting carbon emissions of a household garbage incineration enterprise

Abstract

The present application relates to the field of carbon emission monitoring, and more particularly to a method for accounting carbon emissions for household waste incineration enterprises, comprising: determining the incineration component state of the target incineration component according to the associated source richness and the associated source fluctuation of the target incineration component, and determining the component monitoring mode of the target incineration component according to the incineration component state; when analyzing based on combination feature monitoring, determining the associated combination strategy according to the key source proportion of the target incineration component, and determining whether to perform change matching analysis based on each associated analysis combination; when analyzing based on receiving state monitoring, determining whether to perform component change analysis for the target incineration component according to the receiving difference proportion and the reference receiving frequency difference coefficient, and determining the analysis strategy according to the component coincidence coefficient of the receiving difference source; the present application improves the accuracy of the monitoring result of the component change situation of the target incineration component, and further improves the accuracy of the carbon emission accounting result.

Description

Technical Field

[0001] This invention relates to the field of carbon emission monitoring, and more particularly to a method for calculating carbon emissions for municipal solid waste incineration plants. Background Technology

[0002] Carbon emission accounting provides a data foundation for carbon emission trading by municipal solid waste incineration enterprises. Enhancing the accuracy and reliability of carbon emission accounting is crucial for promoting carbon emission trading and achieving emission reduction targets. However, the composition of the municipal solid waste received by these enterprises significantly impacts the accuracy of carbon emission accounting. Current carbon emission accounting processes only periodically sample and analyze the composition of municipal solid waste, which can easily lead to discrepancies between the sampling analysis results and the actual incinerated composition. Furthermore, the sources of municipal solid waste for incineration are diverse, and the composition of waste from different sources fluctuates. Therefore, how to analyze the source of the incinerated waste to measure the degree of matching between the sampling analysis results and the actual situation, thereby ensuring the reliability of carbon emission accounting results, is a problem that urgently needs to be solved by those skilled in the art.

[0003] Chinese Patent Application Publication No. CN115372106A discloses a detection method for carbon emission accounting in waste incineration projects. The method includes the following steps: obtaining a sample to be tested, which includes one of a mixed sample of waste entering the plant and a mixed sample of waste entering the furnace, wherein the mixed sample of waste entering the furnace is sampled from fermented waste and the mixed sample of waste entering the plant is sampled from fresh waste; classifying the sample to be tested based on its physical composition; drying the classified sample to obtain dry basis samples of each component and calculating the mass fraction of each component; crushing and preparing samples of each component separately; mixing the crushed and prepared dry basis samples of each component to prepare a dry basis mixed sample and testing the dry basis mixed sample to obtain carbon emission data. However, the above scheme has the following problems: it fails to evaluate the rationality of changes in components in the sampling analysis results based on the actual source of the obtained municipal solid waste, resulting in poor accuracy and representativeness of the obtained monitoring results relative to the overall incineration process, and thus low accuracy of the determined carbon emission accounting results. Summary of the Invention

[0004] To address this, the present invention provides a carbon emission accounting method for municipal solid waste incineration enterprises, which overcomes the problem in the prior art that fails to assess the rationality of changes in components in the sampling and analysis results based on the actual source of the municipal solid waste, resulting in poor accuracy and representativeness of the obtained monitoring results relative to the overall incineration process, and consequently, low accuracy of the determined carbon emission accounting results.

[0005] To address the above problems, this invention provides a method for calculating carbon emissions for municipal solid waste incineration plants, comprising:

[0006] The combustion status of the target incineration component is determined based on the abundance and volatility of its associated sources. The component monitoring method is then determined based on the combustion status. The component monitoring method is to analyze the target incineration component based on either combined feature monitoring or reception status monitoring.

[0007] When conducting analysis based on combined feature monitoring, the association combination strategy is determined according to the proportion of key sources of the target incineration component, in order to determine the association analysis combination and the compensation change component, and whether to conduct change matching analysis is determined based on the trend change coefficient of the target incineration component.

[0008] The association combination strategy is to perform association analysis and combination based on the overlap of fluctuation cycles or the correlation of source components;

[0009] When performing analysis based on receiving status monitoring, the percentage of receiving differences for the target incineration component and the reference receiving frequency difference coefficient are detected to determine whether to perform component change analysis for the target incineration component, and the analysis strategy is determined based on the component overlap coefficient.

[0010] The analysis strategy involves adjusting the sampling analysis parameters based on the change in the associated reception ratio or the change coefficient of the reception components.

[0011] Furthermore, when the target incineration component is in a state where the fluctuation of the associated source is greater than the preset fluctuation of the associated source, the target incineration component is analyzed based on the combined characteristic monitoring.

[0012] Determine the associated combination strategy based on the proportion of key sources of the target incineration components;

[0013] If the proportion of key sources is greater than the preset proportion of key sources, then the key component sources will be combined and classified based on the degree of overlap of fluctuation cycles.

[0014] If the proportion of key sources is less than or equal to the preset proportion of key sources, then the sources of related components will be combined and classified according to the correlation of source components.

[0015] Furthermore, when the target incineration component is in the state of a Class II incineration component where the fluctuation of associated sources is less than or equal to the preset fluctuation of associated sources and the richness of associated sources is greater than the preset richness of associated sources, the target incineration component is analyzed based on the received status monitoring.

[0016] The receiving frequency difference coefficients of each associated component source of the target incineration component are periodically detected. The receiving component change coefficient of the target incineration component is determined based on the receiving difference ratio and the reference receiving frequency difference coefficient. The component change coefficient is then used to determine whether to perform component change analysis for the target incineration component.

[0017] Furthermore, when analyzing the component stability coefficient based on combined characteristic monitoring, the accounting interference coefficients of each associated component source of the target incineration component are determined according to the fluctuation stage coverage parameter and the component fluctuation index. The associated component sources with accounting interference coefficients greater than the preset accounting interference coefficients are recorded as key component sources.

[0018] The percentage of key sources = number of key component sources of the target incineration component / number of associated component sources of the target incineration component;

[0019] The calculated interference coefficient is positively correlated with the fluctuation stage coverage parameter and the component fluctuation index, respectively.

[0020] Furthermore, when determining the correlation analysis combination based on the overlap of fluctuation cycles, the overlap of fluctuation cycles of any correlation analysis combination is greater than the preset overlap of fluctuation cycles.

[0021] The periodic compensation parameters are determined based on the fluctuation-related parameters and overlap duration of each compensation monitoring component. Compensation monitoring components whose periodic compensation parameters are greater than the preset periodic compensation parameters are recorded as compensation change components.

[0022] The degree of overlap of the fluctuation cycles is determined based on the overlap monitoring stage.

[0023] Furthermore, when determining the association analysis combination based on the correlation of source components, the correlation of source components between any two sources of related components within each association analysis combination is greater than the preset correlation of source components;

[0024] The relevant compensation parameters are determined based on the relevant compensation parameters of each compensation monitoring component and the receiving change index. The compensation monitoring components whose relevant compensation parameters are greater than the preset relevant compensation parameters are recorded as compensation change components.

[0025] Furthermore, based on the compensation change components of each correlation analysis combination, the trend change coefficient of the target incineration component is determined, and the change matching analysis is determined based on the trend change coefficient.

[0026] If the trend change coefficient is greater than the preset trend change coefficient, then a change matching analysis is performed on the target incineration component. The change matching analysis process includes...

[0027] Sampling and analysis are performed on the target incineration components to determine the sampling composition results of the target incineration components;

[0028] The degree of change matching is determined based on the trend difference index of the component to be evaluated. If the degree of change matching of the target incineration component is less than the preset degree of change matching, an early warning is issued based on the sampling analysis results.

[0029] Furthermore, the sources of reception difference are determined based on the reception frequency difference coefficients of each associated component source, and the sources of associated components whose reception frequency difference coefficients are greater than the preset reception frequency difference coefficients are recorded as sources of reception difference.

[0030] The percentage of received differences = the number of sources of received differences for the target incineration component / the number of related component sources for the target incineration component;

[0031] The reference receiving frequency difference coefficient is the average value of the receiving frequency difference coefficients of each associated component source of the target incineration component.

[0032] Furthermore, when the receiving component change coefficient is greater than the preset receiving component change coefficient, a component change analysis is performed on the target incineration component, including:

[0033] The analysis strategy is determined based on the component overlap coefficient of the target incineration components;

[0034] If the component overlap coefficient is greater than the preset component overlap coefficient, then receive compensation analysis is performed for each overlapping analysis component, and the sampling analysis parameters are increased and adjusted according to the changed associated receive ratio.

[0035] If the component overlap coefficient is less than or equal to the preset component overlap coefficient, the sampling analysis parameters are increased and adjusted according to the received component change coefficient.

[0036] The increase in the sampling analysis parameters is positively correlated with the change coefficient of the receiving components.

[0037] Furthermore, when performing reception compensation analysis on any overlapping analysis component, the effective compensation coefficient for fluctuation of the overlapping analysis component is determined based on the reception correlation coefficient and the duplicate coverage parameter, and overlapping analysis components with an effective compensation coefficient for fluctuation less than the preset effective compensation coefficient for fluctuation are recorded as changed components.

[0038] The percentage of associated receptions for each changed component is equal to the sum of the number of associated receptions for each changed component / the total number of receptions for the target incineration component.

[0039] Compared with the prior art, the beneficial effects of the present invention are that the technical solution of the present invention determines the state of incineration components based on the abundance and fluctuation of the associated sources of the target incineration components, and determines a targeted component monitoring method based on the state of incineration components to analyze the target incineration components, so that the monitoring of the compositional changes of the target incineration components is more in line with the actual situation, thereby improving the accuracy of the monitoring results of the compositional changes of the target incineration components.

[0040] Furthermore, in this invention, the state of the incineration component is determined based on the abundance and volatility of the associated sources of the target incineration component, which characterizes the stability of the target incineration component's composition. When the volatility of the associated sources is large, it indicates that the target incineration component is experiencing continuous fluctuations over a period of time. Predictive analysis is performed on its fluctuation trend to measure the reliability of the sampling analysis results, thereby optimizing the sampling analysis process. This invention improves the accuracy of monitoring results for changes in the composition of the target incineration component, and thus improves the accuracy of carbon emission accounting results.

[0041] Furthermore, in this invention, when performing analysis based on combined feature monitoring, a correlation combination strategy is determined according to the proportion of key sources of the target incineration component. By further analyzing the fluctuation of the sources of the related components and analyzing each correlation analysis combination, the compensation of the fluctuation results between the sources of the related components with component fluctuations under actual conditions is determined, ensuring the reliability of the judgment results on the component change trend of the target incineration component. In addition, determining the correlation analysis combination based on the targeted combination strategy not only ensures the compensation between the sources of the related components but also improves the data processing efficiency in the analysis process.

[0042] Furthermore, in this invention, when the fluctuation of the associated source of the target incineration component is small but the abundance of associated sources is large, the fluctuation in the sampling and analysis results of the target incineration component is often related to the associated source and the receiving frequency of the associated source. Analyzing the actual receiving situation within the component analysis period is used to optimize the sampling and analysis process, making the sampling and analysis process more in line with the actual situation and improving the reliability of the detection results of the target incineration component.

[0043] Furthermore, in this invention, the analysis strategy is determined based on the component overlap coefficient of the target incineration component, making the compensation method for the sampling analysis parameters more in line with the actual situation, improving the effectiveness of the adjustment results for the sampling analysis parameters, and thus improving the reliability of the sampling analysis results for the target incineration component. This invention improves the accuracy of carbon emission accounting results. Attached Figure Description

[0044] Figure 1 This is a schematic diagram of the carbon emission accounting method used by municipal solid waste incineration enterprises according to the present invention;

[0045] Figure 2 This is a flowchart illustrating the component monitoring method for determining target incineration components based on the state of incineration components according to the present invention.

[0046] Figure 3 This is a flowchart illustrating the strategy for determining the associated combination of the target incineration components based on the proportion of key sources in the present invention.

[0047] Figure 4 This is a flowchart illustrating the analytical strategy determined by the present invention based on the component overlap coefficient of the received difference sources. Detailed Implementation

[0048] To make the objectives and advantages of the present invention clearer, the present invention will be further described below with reference to embodiments; it should be understood that the specific embodiments described herein are merely for explaining the present invention and are not intended to limit the present invention.

[0049] Preferred embodiments of the present invention will now be described with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are merely illustrative of the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0050] It should be noted that in the description of this invention, the terms "upper", "lower", "left", "right", "inner", "outer", etc., which indicate directions or positional relationships, are based on the directions or positional relationships shown in the accompanying drawings. This is only for the convenience of description and is not intended to indicate or imply that the device or element must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, it should not be construed as a limitation of this invention.

[0051] Furthermore, it should be noted that, in the description of this invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0052] Please see Figures 1 to 4 As shown, this embodiment of the invention provides a method for calculating carbon emissions for municipal solid waste incineration plants, including:

[0053] The combustion status of the target incineration component is determined based on the abundance and volatility of its associated sources. The component monitoring method is then determined based on the combustion status. The component monitoring method is to analyze the target incineration component based on either combined feature monitoring or reception status monitoring.

[0054] When conducting analysis based on combined feature monitoring, the association combination strategy is determined according to the proportion of key sources of the target incineration component, in order to determine the association analysis combination and the compensation change component, and whether to conduct change matching analysis is determined based on the trend change coefficient of the target incineration component.

[0055] The association combination strategy is to perform association analysis and combination based on the overlap of fluctuation cycles or the correlation of source components;

[0056] When performing analysis based on receiving status monitoring, the percentage of receiving differences for the target incineration component and the reference receiving frequency difference coefficient are detected to determine whether to perform component change analysis for the target incineration component, and the analysis strategy is determined based on the component overlap coefficient.

[0057] The analysis strategy involves adjusting the sampling analysis parameters based on the change in the associated reception ratio or the change coefficient of the reception components.

[0058] In this invention, during the carbon emission accounting process for municipal solid waste incineration enterprises, the municipal solid waste incineration enterprise currently being accounted for is designated as the target incineration enterprise, the municipal solid waste incinerated by the target incineration enterprise is designated as the target incineration component, the source institutions that make up the target incineration component are designated as the related component sources of the target incineration component, and the municipal solid waste produced by each related component source is designated as the related component of each related component source. The source institutions in this invention include, but are not limited to, residential communities, restaurant districts, office areas, government agencies, and educational institutions. Each source institution has several key monitoring phases, which are time periods when changes in the composition of related components are likely to occur. For example, the time period corresponding to statutory holidays is designated as the key monitoring phase for residential communities. This is easily understood by those skilled in the art and will not be elaborated here.

[0059] In this invention, a cyclic component analysis period is applied. The duration of the component analysis period can be determined by the user. The higher the user's requirement for the accuracy of the analysis results of the target incineration components, the shorter the duration of the component analysis period. One component analysis period is provided, which is 15 days. At the end of each component analysis period, the target incineration components are analyzed based on combined feature monitoring or receiving status monitoring, and sampling analysis is performed on the target incineration components.

[0060] This invention utilizes several component analysis records. Each component analysis record documents at least one analysis of the target incineration component, including the fluctuation of associated sources, the proportion of key sources, the richness of associated sources, the accounting interference coefficient, the overlap of fluctuation cycles, the cycle compensation parameter, the correlation of source components, the correlation compensation parameter, the trend change coefficient, the receiving frequency difference coefficient, the receiving component change coefficient, the component overlap coefficient, the effective fluctuation compensation coefficient, the number of overlapping analysis sources for each overlapping analysis component, and the associated parameters. Each component analysis record also has a corresponding pass / fail mark, which indicates whether the accuracy of the analysis results of the target incineration component meets the user's requirements. It is understood that the user can determine whether the accuracy of the analysis results of the target incineration component meets the requirements based on self-defined indicators. For example, self-defined indicators can be, but are not limited to, the carbon emission calculation deviation value. The carbon emission calculation deviation value is the difference between the actual emissions and the calculated results during the carbon emission calculation process.

[0061] Specifically, when the target incineration component is in a state where the fluctuation of the associated source is greater than the preset fluctuation of the associated source, the target incineration component is analyzed based on the combined feature monitoring.

[0062] Determine the associated combination strategy based on the proportion of key sources of the target incineration components;

[0063] If the proportion of key sources is greater than the preset proportion of key sources, then the key component sources will be combined and classified based on the degree of overlap of fluctuation cycles.

[0064] If the proportion of key sources is less than or equal to the preset proportion of key sources, then the sources of related components will be combined and classified according to the correlation of source components.

[0065] Specifically, for the target incineration component within a single component analysis cycle, the associated source volatility... , A reference fluctuation index for the target incineration components. The reference fluctuation index is the average of the component fluctuation indices of each associated component source of the target incineration component received within the current component analysis cycle. The associated source change index is the number of newly added component sources of the target incineration component received within the current component analysis cycle. The newly added component source is an associated component source that exists in the current component analysis cycle but not in the previous component analysis cycle. For any associated component source, the component fluctuation index is the number of component fluctuation cycles involved in the fluctuation assessment phase of that associated component source. If there is an associated component source within a component analysis cycle, and there is a sampling analysis result warning or adjustment of sampling analysis parameters in that component analysis cycle, then that component analysis cycle is recorded as the component fluctuation cycle of that associated component source. The end time of the fluctuation assessment phase is the end time of the current component analysis cycle. The duration of the fluctuation assessment phase can be set by the user according to the actual working scenario. One duration of the fluctuation assessment phase is provided, which is 90 days.

[0066] The values ​​of the preset associated source volatility and the preset key source proportion can be determined by the user according to the actual working scenario. For example, the user can set them based on the component analysis records. The higher the user's requirement for the accuracy of the analysis results of the target incineration components, the smaller the value of the preset associated source volatility and the smaller the value of the preset key source proportion. A method for determining the value of the preset associated source volatility is provided, in which the component analysis records analyzed based on the receiving status monitoring are recorded as status assessment records, and the maximum value of the associated source volatility in the status assessment records that meets the user's requirement for the accuracy of the analysis results of the target incineration components is recorded as the preset associated source volatility. A method for determining the value of the preset key source proportion is provided, in which the component analysis records divided by association analysis based on the overlap of fluctuation cycles are recorded as combination reference records, and the minimum value of the key source proportion in the combination reference records that meets the user's requirement for the accuracy of the analysis results of the target incineration components is recorded as the preset key source proportion.

[0067] Specifically, when the target incineration component is in the state of a Class II incineration component where the fluctuation of associated sources is less than or equal to the preset fluctuation of associated sources and the richness of associated sources is greater than the preset richness of associated sources, the target incineration component is analyzed based on the received status monitoring.

[0068] The receiving frequency difference coefficients of each associated component source of the target incineration component are periodically detected. The receiving component change coefficient of the target incineration component is determined based on the receiving difference ratio and the reference receiving frequency difference coefficient. The component change coefficient is then used to determine whether to perform component change analysis for the target incineration component.

[0069] Specifically, for the target incineration component within a single component analysis cycle, the richness of associated sources is the average number of associated component sources for the target incineration component in each component analysis cycle within the fluctuation assessment phase. The value of the preset richness of associated sources can be determined by the user based on the actual working scenario. For example, the user can set it based on the component analysis records. The higher the user's requirements for the validity of the monitoring data, the smaller the value of the preset richness of associated sources. A method for determining the value of the preset richness of associated sources is provided, which records the minimum value of the richness of associated sources in the state assessment record that meets the user's requirements for the accuracy of the analysis results of the target incineration component as the preset richness of associated sources.

[0070] When analyzing target incineration components based on reception status monitoring, at the end of each component analysis cycle, the reception frequency difference coefficient of each associated component source of the target incineration component is detected. For a single associated component source, the reception frequency difference coefficient = reception frequency difference value of the associated component source / reception frequency reference value of the associated component source in the current component analysis cycle. The reception frequency difference value is the absolute value of the difference between the reception frequency reference value of the associated component source in the current component analysis cycle and the previous component analysis cycle. The reception frequency reference value is the number of times the incineration component generated by the associated component source is acquired in the component analysis cycle. For the target incineration component in a single component analysis cycle, the reception component change coefficient = ln(reception difference percentage × reference reception frequency difference coefficient).

[0071] Specifically, when conducting analysis based on combined feature monitoring, the accounting interference coefficients of each associated component source of the target incineration component are determined according to the fluctuation stage coverage parameter and component fluctuation index. The associated component sources with accounting interference coefficients greater than the preset accounting interference coefficients are recorded as key component sources.

[0072] The percentage of key sources refers to the percentage of key source sources among the number of associated source sources of the target incineration component;

[0073] The calculated interference coefficient is positively correlated with the fluctuation stage coverage parameter and the component fluctuation index, respectively.

[0074] Specifically, when analyzing target incineration components based on received status monitoring, the proportion of key sources of the target incineration components is detected at the end of each component analysis cycle. For a single associated component source, the proportion of key sources = the number of key component sources of the target incineration component / the number of associated component sources of the target incineration component. The calculated interference coefficient is the sum of the products of the fluctuation phase coverage parameter and the component fluctuation index, respectively, and the corresponding interference factor weight coefficient. The fluctuation phase coverage parameter is the duration of the key monitoring phase of the associated component source in the current component analysis cycle, and the unit of the fluctuation phase coverage parameter is days. The user can determine the values ​​of the fluctuation phase coverage parameter and the interference factor weight coefficient corresponding to the component fluctuation index according to the actual working scenario. One possible value for the fluctuation phase coverage parameter and the interference factor weight coefficient corresponding to the component fluctuation index is 0.7, and the value for the interference factor weight coefficient corresponding to the component fluctuation index is 0.3.

[0075] The sources of related components whose calculated interference coefficients are smaller than or equal to the preset calculated interference coefficients are denoted as regular component sources. The value of the preset calculated interference coefficient can be determined by the user according to the actual working scenario. For example, the user can set it according to the component analysis records. The higher the user's requirements for the validity of the monitoring data, the smaller the value of the preset calculated interference coefficient. A method for determining the value of the preset calculated interference coefficient is provided, in which the average value of the calculated interference coefficients of key component sources in the component analysis records that meet the user's requirements for the validity of the monitoring data is denoted as the preset calculated interference coefficient.

[0076] Specifically, when determining the correlation analysis combination based on the overlap of fluctuation cycles, the overlap of fluctuation cycles of any correlation analysis combination is greater than the preset overlap of fluctuation cycles.

[0077] The periodic compensation parameters are determined based on the fluctuation-related parameters and overlap duration of each compensation monitoring component. Compensation monitoring components whose periodic compensation parameters are greater than the preset periodic compensation parameters are recorded as compensation change components.

[0078] The degree of overlap of the fluctuation cycles is determined based on the overlap monitoring stage.

[0079] Specifically, for a single correlation analysis combination determined based on the overlap of fluctuation cycles, the overlap of fluctuation cycles is defined as the duration of the overlap monitoring phase divided by the duration of the component analysis cycle. The key monitoring phases where each key component source exists within the current component analysis cycle are denoted as the overlap monitoring phases of the correlation analysis combination. The incineration components included in the correlation analysis combination are denoted as the compensation monitoring components. The value of the preset fluctuation cycle overlap can be determined by the user based on the actual working scenario. For example, the user can set it based on the component analysis records. The higher the user's accuracy requirement for the analysis results of the target incineration components, the larger the value of the preset fluctuation cycle overlap. A method for determining the value of the preset fluctuation cycle overlap is provided, whereby the component analysis records of the correlation analysis combination determined based on the fluctuation cycle overlap are denoted as a class of records, and the minimum value of the fluctuation cycle overlap of each correlation analysis combination in the class of records that meets the user's accuracy requirement for the analysis results of the target incineration components is denoted as the preset fluctuation cycle overlap.

[0080] For a single compensated monitoring component, a periodic compensation parameter is determined based on the fluctuation-related parameters and the overlap duration. The periodic compensation parameter = ln(fluctuation-related parameters × overlap duration). The fluctuation-related parameters are the sum of the products of the percentage change of the relevant key monitoring phases of each key component source containing the compensated monitoring component and the corresponding relevant evaluation coefficients. For a single key component source, the relevant key monitoring phases are the component analysis cycles in which the compensated monitoring component exists and any key monitoring phase within the current component analysis cycle. The overlap duration is the average of the durations of the overlap monitoring phases of each key component source containing the compensated monitoring component.

[0081] The value of the preset periodic compensation parameter can be determined by the user according to the actual working scenario. For example, the user can set it according to the component analysis record. The higher the user's requirement for the accuracy of the analysis results of the target incineration component, the larger the value of the preset periodic compensation parameter. A method for determining the value of the preset periodic compensation parameter is provided, which takes the minimum value of the periodic compensation parameter of each compensation change component in a class of classification records that meets the user's requirement for the accuracy of the analysis results of the target incineration component as the preset periodic compensation parameter.

[0082] Specifically, when determining the association analysis combination based on the correlation of source components, the correlation of source components between any two sources of related components within each association analysis combination is greater than the preset correlation of source components;

[0083] The relevant compensation parameters are determined based on the relevant compensation parameters of each compensation monitoring component and the receiving change index. The compensation monitoring components whose relevant compensation parameters are greater than the preset relevant compensation parameters are recorded as compensation change components.

[0084] Wherein, for any two related component sources, the source component correlation is the number of component analysis cycles in which the two related component sources have the same incineration component during the fluctuation assessment stage. The value of the preset source component correlation can be determined by the user according to the actual working scenario. For example, the user can set it according to the component analysis records. The higher the user's requirement for the accuracy of the analysis results of the target incineration component, the larger the value of the preset source component correlation. A method for determining the value of the preset source component correlation is provided, in which the component analysis records that determine the correlation analysis combination based on the source component correlation are recorded as binary classification records, and the minimum value of the source component correlation between any two related component sources in each correlation analysis combination in the binary classification records that meet the user's requirement for the accuracy of the analysis results of the target incineration component is recorded as the preset source component correlation.

[0085] For a single correlation analysis combination determined based on the correlation of source components, the incineration components included in the key component source are designated as compensation monitoring components. For a single compensation monitoring component, a relevant compensation parameter is determined based on the relevant compensation index and the reception change index. The relevant compensation parameter = ln(relevant compensation index × reception change index). The relevant compensation index is the difference between the number of related component sources containing the compensation monitoring component in the correlation analysis combination and the number of key component sources containing the compensation monitoring component. The reception change index is the average value of the reception frequency difference coefficients of each related component source containing the compensation monitoring component in the correlation analysis combination. The value of the preset relevant compensation parameter can be determined by the user according to the actual working scenario. For example, the user can set it based on the component analysis records. The higher the user's requirement for the accuracy of the analysis results of the target incineration component, the larger the value of the preset relevant compensation parameter. A method for determining the value of the preset relevant compensation parameter is provided, which takes the minimum value of the relevant compensation parameter of each compensation change component in the two-class classification records that meets the user's accuracy requirements for the analysis results of the target incineration component as the preset relevant compensation parameter.

[0086] Specifically, the trend change coefficient is determined based on the compensation change components of each correlation analysis combination, and the decision on whether to perform change matching analysis is based on the trend change coefficient.

[0087] If the trend change coefficient is greater than the preset trend change coefficient, then a change matching analysis is performed on the target incineration component. The change matching analysis process includes...

[0088] Sampling and analysis are performed on the target incineration components to determine the sampling composition results of the target incineration components;

[0089] The degree of change matching is determined based on the trend difference index of the component to be evaluated. If the degree of change matching of the target incineration component is less than the preset degree of change matching, an early warning is issued based on the sampling analysis results.

[0090] Wherein, the trend change coefficient is the sum of the number of compensating change components in each correlation analysis combination of the target incineration component. The value of the preset trend change coefficient can be determined by the user according to the actual working scenario. For example, the user can set it according to the component analysis records. The higher the user's requirements for the effectiveness of the monitoring data, the smaller the value of the preset trend change coefficient. A method for determining the value of the preset trend change coefficient is provided, in which the component analysis records for change matching analysis are recorded as change reference records, and the minimum value of the trend change coefficient in the change reference records that meet the user's requirements for the effectiveness of the monitoring data is recorded as the preset trend change coefficient.

[0091] When the trend change coefficient is greater than the preset trend change coefficient, sampling analysis is performed on the target incineration component. The incineration components included in the target incineration component and the component proportions corresponding to each incineration component obtained from the sampling analysis are recorded as the sampling component results of the target incineration component. When the trend change coefficient is less than or equal to the preset trend change coefficient, no change matching analysis is performed on the target incineration component. How to perform sampling analysis on the target incineration component is easy for those skilled in the art to understand and will not be elaborated here. The incineration components involved in the target incineration component in this invention include, but are not limited to: kitchen waste, paper products, rubber and plastic products, textiles, wood products, brick and tile products, and various metal products.

[0092] The method detects the difference in component proportions of each incineration component between the current component analysis cycle and the previous component analysis cycle. For a single incineration component, the component proportion difference is the difference between the component proportion of the incineration component in the current component analysis cycle and the component proportion of the incineration component in the previous component analysis cycle. The degree of change in proportion is calculated as the absolute value of the component proportion difference / the component proportion of the incineration component in the previous component analysis cycle. Incineration components with a component proportion difference greater than a preset component proportion difference value are recorded as changed analysis components. Incineration components that are both changed analysis components and compensation change components are recorded as components to be evaluated. For a single component to be evaluated, the method detects the reference change trend index of the component to be evaluated. The method obtains the degree of change in proportion of the component to be evaluated under the current compensation change parameters in the component analysis record that meets the user's accuracy requirements for the analysis results of the target incineration component. The average value of each obtained degree of change in proportion is recorded as the reference change trend index. The average value of the absolute values ​​of the differences between each degree of change in proportion and the reference change trend index is recorded as the effective change index.

[0093] Components to be evaluated whose trend difference index is less than the effective change index are designated as effective compensation components. The trend difference index is the absolute value of the difference between the percentage change of the component to be evaluated and the reference change trend index. The change matching degree is calculated as the number of effective compensation components / the number of change analysis components. The preset change matching degree can be determined by the user based on the actual work scenario. For example, the user can set it based on the component analysis records. The higher the user's requirements for the validity of the monitoring data, the larger the preset change matching degree. A preset change matching degree is provided, and the average change matching degree of the component analysis records that do not meet the user's requirements for the validity of the monitoring data is recorded as the preset change matching degree. If the change matching degree is less than the preset change matching degree, an early warning is issued for the sampling analysis results. The user can optimize the sampling analysis process based on the change matching degree, for example, by increasing or adjusting the sampling analysis parameters.

[0094] Specifically, the source of reception difference is determined based on the reception frequency difference coefficient of each associated component source, and the source of associated component whose reception frequency difference coefficient is greater than the preset reception frequency difference coefficient is recorded as the source of reception difference;

[0095] The percentage of received differences is the percentage of the number of sources of received differences for the target incineration component out of the number of related component sources.

[0096] The reference receiving frequency difference coefficient is the average value of the receiving frequency difference coefficients of each associated component source of the target incineration component.

[0097] Wherein, the percentage of received differences = the number of sources of received differences for the target incineration component / the number of related component sources for the target incineration component. The value of the preset received frequency difference coefficient can be determined by the user according to the actual working scenario. For example, the user can set it according to the component analysis record. The higher the user's requirements for the validity of the monitoring data, the smaller the value of the preset received frequency difference coefficient. A method for determining the value of the preset received frequency difference coefficient is provided, which is the average value of the received frequency difference coefficients of each source of received differences in the component analysis record that meets the user's requirements for the accuracy of the analysis results of the target incineration component.

[0098] Specifically, when the receiving component change coefficient is greater than the preset receiving component change coefficient, a component change analysis is performed on the target incineration component, including...

[0099] The analysis strategy is determined based on the component overlap coefficient of the target incineration components;

[0100] If the component overlap coefficient is greater than the preset component overlap coefficient, then receive compensation analysis is performed for each overlapping analysis component, and the sampling analysis parameters are increased and adjusted according to the changed associated receive ratio.

[0101] If the component overlap coefficient is less than or equal to the preset component overlap coefficient, the sampling analysis parameters are increased and adjusted according to the received component change coefficient.

[0102] The increase in the sampling analysis parameters is positively correlated with the change coefficient of the receiving components.

[0103] The value of the preset receiving component change coefficient can be determined by the user according to the actual working scenario. For example, the user can set it according to the component analysis record. The higher the user's requirements for the validity of the monitoring data, the smaller the value of the preset receiving component change coefficient. A method for determining the value of the preset receiving component change coefficient is provided, in which the component analysis record for component change analysis of the target incineration component is recorded as the change reference record, and the minimum value of the receiving component change coefficient of the target incineration component in the change reference record that meets the user's requirements for the accuracy of the analysis results of the target incineration component is recorded as the preset receiving component change coefficient.

[0104] When the received component change coefficient is greater than the preset received component change coefficient, the component overlap coefficient of the target incineration component within the current component analysis cycle is detected. The component overlap coefficient = number of overlapping analysis components of the target incineration component / number of incineration components of the target incineration component. The value of the preset component overlap coefficient can be determined by the user according to the actual working scenario. For example, the user can set it based on the component analysis records. A method for determining the value of the preset component overlap coefficient is provided, in which the component analysis records that adjust the sampling analysis parameters according to the change-related received ratio are recorded as overlap reference records, and the minimum value of the component overlap coefficient in the overlap reference records that meets the user's accuracy requirements for the analysis results of the target incineration component is recorded as the preset component overlap coefficient; if the component overlap coefficient is greater than the preset component overlap coefficient... The sampling analysis parameters are adjusted by increasing the percentage of associated reception based on the change in the associated reception ratio. The increase in the sampling analysis parameters is negatively correlated with the percentage of associated reception. If the component overlap coefficient is less than or equal to the preset component overlap coefficient, the sampling analysis parameters are adjusted by increasing the percentage of associated reception ratio based on the received component change coefficient. Due to the differences in sampling analysis results in different regions caused by the associated component reception process, the reliability of the sampling analysis results is further improved by adjusting the sampling analysis parameters. While ensuring the reliability of the obtained sampling analysis results, unnecessary analysis processes are avoided. The sampling analysis parameters in this invention include, but are not limited to, the number of samples and the sampling interval distance. The number of samples is the number of samples collected during the sampling analysis process, and the sampling interval distance is the interval distance between the positions when samples are acquired during the sampling analysis process.

[0105] Specifically, when performing reception compensation analysis on any overlapping analysis component, the effective compensation coefficient for fluctuation of the overlapping analysis component is determined based on the reception correlation coefficient and the repeated coverage parameter, and overlapping analysis components whose effective compensation coefficient for fluctuation is less than the preset effective compensation coefficient for fluctuation are recorded as changed components.

[0106] The percentage of associated receptions for each changed component is equal to the sum of the number of associated receptions for each changed component / the total number of receptions for the target incineration component.

[0107] If the number of associated component sources for an incineration component is greater than a preset overlap parameter, the incineration component is determined to be an overlap analysis component, and the associated component sources of the incineration component are recorded as overlap analysis sources of the incineration component. For a single overlap analysis component, the fluctuation effective compensation coefficient = ln(repetition coverage parameter / reception correlation coefficient), the reception correlation coefficient is the average value of the correlation parameters of each correlation reception stage of the overlap analysis component, the repetition coverage parameter = the sum of the durations of each correlation reception stage / the duration of the current component analysis cycle, and the correlation parameters of each correlation reception stage are all less than the preset correlation parameter. For a single correlation reception stage, the correlation parameter is the average value of the interval between two adjacent correlation receptions within the correlation reception stage. For a single incineration component, completing any acquisition of associated components containing associated component sources of the incineration component is recorded as completing one correlation reception of the incineration component.

[0108] The values ​​of the preset effective compensation coefficient, preset overlap parameter, and preset correlation parameter can be determined by the user according to the actual working scenario. For example, the user can set them according to the component analysis records. The higher the user's requirements for the effectiveness of the monitoring data, the larger the value of the preset fluctuation effective compensation coefficient and the smaller the value of the preset correlation parameter. A method for determining the value of the preset fluctuation effective compensation coefficient is provided, which is the average value of the fluctuation effective compensation coefficients of each component in the component analysis records that meet the user's requirements for the effectiveness of the monitoring data. A method for determining the value of the preset overlap parameter is provided, which is the average value of the number of overlapping analysis sources of each overlapping analysis component in the component analysis records that meet the user's requirements for the effectiveness of the monitoring data. A method for determining the value of the preset correlation parameter is provided, which is the maximum value of the correlation parameter of each correlation receiving stage in the component analysis records that meet the user's requirements for the effectiveness of the monitoring data.

[0109] For a single changed component, within the current component analysis cycle, completing any one acquisition of a related component source containing that changed component is counted as completing one related reception of that changed component. The total number of receptions of the target incineration component is the number of acquisitions of related components for each related component source within the current component analysis cycle. If the transportation process of the related component from the related component source to the target accounting enterprise is completed, it is counted as completing one related component acquisition.

[0110] The technical solution of the present invention has been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the scope of protection of the present invention.

[0111] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for accounting for carbon emissions for a municipal solid waste incineration business, characterized by, The method comprises the following steps: determine the incineration component state of the target incineration component according to the associated source richness and the associated source fluctuation degree of the target incineration component, and determine the component monitoring mode of the target incineration component according to the incineration component state, wherein when the target incineration component is in a first incineration component state with an associated source fluctuation degree greater than a preset associated source fluctuation degree, analyze the target incineration component based on the combination feature monitoring; when the target incineration component is in a second incineration component state with an associated source fluctuation degree less than or equal to a preset associated source fluctuation degree and an associated source richness greater than a preset associated source richness, analyze the target incineration component based on the receiving state monitoring; when analyzing based on the combination feature monitoring, determine the associated combination according to the key source proportion of the target incineration component to determine the associated analysis combination, compensate the changed component according to the period compensation parameter or the related compensation parameter, and determine whether to perform the changed matching analysis according to the trend change coefficient of the target incineration component; the associated combination strategy is to divide the associated analysis combination according to the fluctuation period coincidence degree or the source component correlation degree; when analyzing based on the receiving state monitoring, detect the receiving difference proportion of the target incineration component and the reference receiving frequency difference coefficient to determine whether to perform the component change analysis on the target incineration component, and determine the analysis strategy according to the component coincidence coefficient when performing the component change analysis; the analysis strategy is to adjust the sampling analysis parameter according to the changed associated receiving proportion or the receiving component change coefficient; for the target incineration component in a single component analysis period, the correlation source fluctuation degree , is a reference fluctuation index of the target incineration component, is a correlation source change index of the target incineration component, the reference fluctuation index is an average value of component fluctuation indexes of each correlation component source of the target incineration component received in a current component analysis period, and the correlation source change index is a number of new component sources of the target incineration component received in the current component analysis period, the new component source being a correlation component source present in the current component analysis period but not present in a previous component analysis period. for a single associated component source, the key source proportion = the number of key component sources of the target incineration component / the number of associated component sources of the target incineration component; for a single compensation monitoring component, the period compensation parameter is determined according to the fluctuation correlation parameter and the coincidence duration, the period compensation parameter = ln (fluctuation correlation parameter × coincidence duration), the fluctuation correlation parameter is the sum of the product of the change degree of the relevant key monitoring stage of each key component source existing the compensation monitoring component and the corresponding relevant evaluation coefficient, the coincidence duration is the average of the duration of the coincidence monitoring stage of each key component source existing the compensation monitoring component, the related compensation parameter = ln (related compensation parameter × receiving change index), the related compensation parameter is the difference between the number of associated component sources of the associated analysis combination containing the compensation monitoring component and the number of key component sources containing the compensation monitoring component, the receiving change index is the average of the receiving frequency difference coefficient of each associated component source of the associated analysis combination containing the compensation monitoring component, and the trend change coefficient is the sum of the number of compensation changed components of each associated analysis combination of the target incineration component; for a single associated analysis combination determined according to the fluctuation period coincidence degree, the fluctuation period coincidence degree = the duration of the coincidence monitoring stage / the duration of the component analysis period, and for any two associated component sources, the source component correlation degree is the number of component analysis periods in which the same incineration component exists in the fluctuation evaluation stage of the above two associated component sources. The receiving difference ratio is the number of receiving difference sources of the target incineration component divided by the number of associated component sources of the target incineration component, the reference receiving frequency difference coefficient is the average of the receiving frequency difference coefficients of each associated component source of the target incineration component, and the component coincidence coefficient is the number of coincident analysis components of the target incineration component divided by the number of incineration components of the target incineration component.

2. The method according to claim 1, wherein When analyzing the target incineration component based on the combination characteristics monitoring; According to the key source ratio of the target incineration component, the associated combination strategy is determined. If the key source ratio is greater than the preset key source ratio, the key component source is analyzed and combined according to the fluctuation period coincidence degree. If the key source ratio is less than or equal to the preset key source ratio, the associated component source is analyzed and combined according to the source component correlation degree.

3. The method according to claim 2, characterized in that, When analyzing the target incineration component based on the receiving state monitoring; The receiving frequency difference coefficients of each associated component source of the target incineration component are detected periodically, the receiving component change coefficient of the target incineration component is determined according to the receiving difference ratio and the reference receiving frequency difference coefficient, and whether to perform component change analysis on the target incineration component is determined according to the receiving component change coefficient. For a single associated component source, the receiving frequency difference coefficient is the receiving frequency difference value of the associated component source divided by the receiving frequency reference value of the associated component source in the current component analysis period, the receiving frequency difference value is the absolute value of the difference between the receiving frequency reference value of the associated component source in the current component analysis period and the last component analysis period, and the receiving frequency reference value is the number of times of obtaining the incineration component generated by the associated component source in the component analysis period. For the target incineration component in a single component analysis period, the receiving component change coefficient is ln (receiving difference ratio x reference receiving frequency difference coefficient).

4. The method according to claim 2, wherein When analyzing the component stability coefficient based on the combination characteristics monitoring, the accounting disturbance coefficient of each associated component source of the target incineration component is determined according to the fluctuation stage coverage parameter and the component fluctuation index, and the associated component source with an accounting disturbance coefficient greater than a preset accounting disturbance coefficient is recorded as a key component source. The key source ratio is the proportion of the number of key component sources in the number of associated component sources of the target incineration component. The accounting disturbance coefficient has a positive correlation with the fluctuation stage coverage parameter and the component fluctuation index, respectively. The accounting disturbance coefficient is the sum of the products of the fluctuation stage coverage parameter and the component fluctuation index and the corresponding disturbance factor weight coefficient, the fluctuation stage coverage parameter is the length of time when the key monitoring stage of the associated component source is in the current component analysis period, and for any associated component source, the component fluctuation index is the number of component fluctuation periods involved in the fluctuation evaluation stage.

5. The method according to claim 4, wherein When determining the associated analysis combination according to the fluctuation period coincidence degree, the fluctuation period coincidence degree of any associated analysis combination is greater than a preset fluctuation period coincidence degree. The period compensation parameter is determined according to the fluctuation correlation parameter of each compensation monitoring component and the coincidence duration, and a compensation monitoring component with a period compensation parameter greater than a preset period compensation parameter is recorded as a compensation change component; The fluctuation period coincidence degree is determined according to the coincidence monitoring stage; The period compensation parameter = ln (fluctuation correlation parameter × coincidence duration), the fluctuation correlation parameter is the product sum of the change degree of the proportion of the relevant key monitoring stage of each key component source existing the compensation monitoring component and the corresponding relevant evaluation coefficient, for a single key component source, the relevant key monitoring stage is the component analysis period in which the compensation monitoring component exists and any key monitoring stage in the current component analysis period in the component analysis record, and the coincidence duration is the average of the duration of the coincidence monitoring stage of each key component source existing the compensation monitoring component.

6. The method according to claim 5, wherein When determining the association analysis combination according to the source component correlation degree, the source component correlation degree between any two association component sources in each association analysis combination is greater than a preset source component correlation degree; The relevant compensation parameter is determined according to the relevant compensation parameter of each compensation monitoring component and the receiving change index, and a compensation monitoring component with a relevant compensation parameter greater than a preset relevant compensation parameter is recorded as a compensation change component; For a single compensation monitoring component, the relevant compensation parameter is determined according to the relevant compensation index and the receiving change index, and the relevant compensation parameter = ln (relevant compensation index × receiving change index), the relevant compensation index is the difference between the number of association component sources containing the compensation monitoring component in the association analysis combination and the number of key component sources containing the compensation monitoring component, and the receiving change index is the average of the receiving frequency difference coefficient of each association component source containing the compensation monitoring component in the association analysis combination.

7. The method according to claim 6, wherein The trend change coefficient of the target incineration component is determined based on the compensation change components of each association analysis combination, and whether to perform change matching analysis is determined according to the trend change coefficient; If the trend change coefficient is greater than a preset trend change coefficient, change matching analysis is performed for the target incineration component, and the change matching analysis process includes, Sampling analysis is performed for the target incineration component to determine the sampling component result of the target incineration component; The change matching degree is determined based on the trend difference index of the component to be evaluated, and if the change matching degree of the target incineration component is less than a preset change matching degree, a warning is given for the sampling analysis result.

8. The method according to claim 3, wherein The receiving difference source is determined according to the receiving frequency difference coefficient of each association component source, and an association component source with a receiving frequency difference coefficient greater than a preset receiving frequency difference coefficient is recorded as a receiving difference source; The receiving difference proportion is the proportion of the number of receiving difference sources of the target incineration component in the number of association component sources of the target incineration component; The reference receiving frequency difference coefficient is the average of the receiving frequency difference coefficients of each association component source of the target incineration component.

9. The method according to claim 8, wherein When the receiving component change coefficient is greater than a preset receiving component change coefficient, component change analysis is performed for the target incineration component, including, The analysis strategy is determined according to the component coincidence coefficient of the target incineration component; If the component coincidence coefficient is greater than the preset component coincidence coefficient, the receiving compensation analysis is performed on each coincident analysis component, and the sampling analysis parameter is adjusted in an increasing manner according to the change correlation receiving proportion; If the component coincidence coefficient is less than or equal to the preset component coincidence coefficient, the sampling analysis parameter is adjusted in an increasing manner according to the receiving component change coefficient; The increasing value of the sampling analysis parameter and the receiving component change coefficient are in a positive correlation relationship; The change correlation receiving proportion = the sum of the correlation receiving times of each change component / the total sum of the receiving times of the target incineration component.

10. The method according to claim 9, wherein When the receiving compensation analysis is performed on any coincident analysis component, the fluctuation effective compensation coefficient of the coincident analysis component is determined according to the receiving correlation number and the repeated coverage parameter, and the coincident analysis component with a fluctuation effective compensation coefficient less than a preset fluctuation effective compensation coefficient is recorded as a change component; For a single coincident analysis component, the fluctuation effective compensation coefficient = ln (repeated coverage parameter / receiving correlation number), the receiving correlation number is the average value of the correlation parameters of each correlation receiving stage of the coincident analysis component, and the repeated coverage parameter = the sum of the time lengths of each correlation receiving stage / the time length of the current component analysis period. ​

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