Carbon emission accounting method for household garbage incineration enterprises

By selecting appropriate component monitoring methods based on the relevant sources of domestic waste incineration enterprises, the problem of deviation of sampling analysis results in carbon emission accounting in the prior art is solved, and the accuracy of carbon emission accounting results is improved.

CN120218946AActive Publication Date: 2025-06-27BEIJING MUNICIPAL RES INST OF ENVIRONMENT PROTECTION +1
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Patent Information

Application Number
CN202510216730.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-02-26
Publication Date
2025-06-27
Estimated Expiration
2045-02-26

AI Technical Summary

Technical Problem

The existing technology fails to effectively evaluate the actual source of domestic waste in the carbon emission accounting of domestic waste incineration enterprises, resulting in a deviation from the actual incineration components of the sampling analysis results, which in turn affects the accuracy of the carbon emission accounting results.

Method used

The incineration component state is determined based on the richness and fluctuation of the associated source of the target incineration component, and the appropriate component monitoring method is selected based on the state, including based on the combination feature monitoring or the reception state monitoring, to conduct analysis to evaluate component changes.

Benefits of technology

It improves the accuracy of monitoring changes in target incineration components, and thus improves the accuracy and reliability of carbon emission accounting results.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention relates to the field of carbon emission monitoring, in particular to a carbon emission accounting method for household garbage incineration enterprises, which comprises the following steps: determining the incineration component state of a target incineration component according to the associated source richness and associated source fluctuation of the target incineration component; determining a component monitoring mode of the target incineration component according to the incineration component state; when analysis is carried out based on combination feature monitoring, an association combination strategy is determined according to the key source proportion of the target incineration component, and whether change matching analysis is carried out or not is determined based on each association analysis combination; when analysis is carried out based on receiving state monitoring, whether component change analysis is carried out on the target incineration component or not is determined according to the receiving difference proportion and the reference receiving frequency difference coefficient, and an analysis strategy is determined according to the component coincidence coefficient of a receiving difference source; the accuracy of the monitoring result of the composition change condition of the target incineration component is improved, and then the accuracy of the carbon emission accounting result is improved.
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Description

Technical Field

[0001] The present invention relates to the field of carbon emission monitoring, and in particular to a method for calculating carbon emissions for domestic waste incineration enterprises. Background Art

[0002] Carbon emission calculation provides a data basis in the process of carbon emission trading for domestic waste incineration enterprises. Strengthening the accuracy and reliability of carbon emission calculation is of great significance for promoting the development of carbon emission trading and achieving emission reduction goals. In the process of calculating the carbon emissions of domestic waste incineration enterprises, the composition of the domestic waste received by the enterprise has a great impact on the accuracy of carbon emission calculation. In the existing carbon emission calculation process, only periodic sampling and composition analysis are carried out on the composition of domestic waste, which easily leads to a deviation between the sampling analysis results and the actual incineration composition. In addition, the sources of domestic waste incineration enterprises are relatively rich, and the composition of domestic waste generated from different sources fluctuates. Therefore, how to analyze the source situation of the incineration content of incineration enterprises to measure the matching degree between the sampling analysis results and the actual situation, so as to ensure the reliability of the carbon emission calculation results, is an urgent problem to be solved by those skilled in the art.

[0003] Chinese Patent Application Publication No. CN115372106A discloses a detection method for carbon emission calculation in a waste incineration project. The method includes the following steps: obtaining a sample to be detected, where the sample to be detected includes one of the incoming waste mixed sample and the incinerator waste mixed sample, and the incinerator waste mixed sample is sampled from fermented waste, and the incoming waste mixed sample is sampled from fresh waste; classifying the sample to be detected based on the physical composition; drying the classified sample to be detected to obtain the dry-based samples of each component, and calculating the mass fraction of each component; respectively crushing and preparing samples of the dry-based samples of each component; mixing the dry-based samples of each component after crushing and preparing samples, preparing a dry-based mixed sample and detecting the dry-based mixed sample to obtain carbon emission data. However, the above solution has the following problems: it fails to evaluate the rationality of the change in components in the sampling analysis results according to the actual source situation of the domestic waste obtained, resulting in poor accuracy and representativeness of the obtained monitoring results relative to the overall incineration process, and further resulting in low accuracy of the determined carbon emission calculation results. Summary of the Invention

[0004] Therefore, the present invention provides a method for calculating carbon emissions for domestic waste incineration enterprises to overcome the problem in the prior art that the rationality of the change in components in the sampling analysis results cannot be evaluated according to the actual source situation of the domestic waste obtained, resulting in poor accuracy and representativeness of the obtained monitoring results relative to the overall incineration process, and further resulting in low accuracy of the determined carbon emission calculation results.

[0005] To solve the above problems, the present invention provides a carbon emission accounting method for domestic waste incineration enterprises, including:

[0006] Determine the incineration component status 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 method of the target incineration component according to the incineration component status. The component monitoring method is to analyze the target incineration component based on combined feature monitoring or reception status monitoring;

[0007] When analyzing based on combined feature monitoring, determine the associated combination strategy according to the key source proportion of the target incineration component to determine the associated analysis combination and the compensated change components, and determine whether to perform change matching analysis based on the trend change coefficient of the target incineration component;

[0008] The associated combination strategy is to divide the associated analysis combination according to the fluctuation period coincidence degree or the source component correlation degree;

[0009] When analyzing based on reception status monitoring, detect the reception difference proportion and the reference reception frequency difference coefficient of the target incineration component to determine whether to perform component change analysis on the target incineration component, and determine the analysis strategy according to the component coincidence coefficient;

[0010] The analysis strategy is to adjust the sampling analysis parameters according to the change associated reception proportion or the reception component change coefficient.

[0011] Further, when the target incineration component is in a state of a first type of incineration component with an associated source fluctuation degree greater than the preset associated source fluctuation degree, analyze the target incineration component based on combined feature monitoring;

[0012] Determine the associated combination strategy according to the key source proportion of the target incineration component;

[0013] If the key source proportion is greater than the preset key source proportion, divide the associated analysis combination of the key component source according to the fluctuation period coincidence degree;

[0014] If the key source proportion is less than or equal to the preset key source proportion, divide the associated analysis combination of the associated component source according to the source component correlation degree.

[0015] Further, when the target incineration component is in a state of a second type of incineration component with an associated source fluctuation degree less than or equal to the preset associated source fluctuation degree and an associated source richness greater than the preset associated source richness, analyze the target incineration component based on reception status monitoring;

[0016] Periodically detect the receiving frequency difference coefficient of each associated component source of the target incineration component, determine the receiving component change coefficient of the target incineration component according to the receiving difference ratio and the reference receiving frequency difference coefficient, and determine whether to perform component change analysis on the target incineration component according to the receiving component change coefficient.

[0017] Further, when analyzing the component stability coefficient based on combined feature monitoring, determine the accounting interference coefficient of each associated component source of the target incineration component according to the fluctuation stage coverage parameter and the component fluctuation index, and record the associated component source with the accounting interference coefficient greater than the preset accounting interference coefficient as the key component source;

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

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

[0020] Further, when determining the correlation analysis combination according to the fluctuation period coincidence degree, the fluctuation period coincidence degree of any correlation analysis combination is greater than the preset fluctuation period coincidence degree;

[0021] Determine the period compensation parameter according to the fluctuation related parameter and the coincidence duration of each compensation monitoring component, and record the compensation monitoring component with the period compensation parameter greater than the preset period compensation parameter as the compensation change component;

[0022] The fluctuation period coincidence degree is determined according to the coincidence monitoring stage.

[0023] Further, when determining the correlation analysis combination according to the source component correlation degree, the source component correlation degree between any two associated component sources in each correlation analysis combination is greater than the preset source component correlation degree;

[0024] Determine the relevant compensation parameter according to the relevant compensation parameter and the receiving change index of each compensation monitoring component, and record the compensation monitoring component with the relevant compensation parameter greater than the preset relevant compensation parameter as the compensation change component.

[0025] Further, determine the trend change coefficient of the target incineration component based on the change compensation components of each correlation analysis combination, and determine whether to perform change matching analysis according to the trend change coefficient;

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

[0027] Perform sampling analysis on the target incineration component to determine the sampling component result of the target incineration component;

[0028] Determine the change matching degree based on the trend difference index of the component to be evaluated. If the change matching degree of the target incineration component is less than the preset change matching degree, a warning will be issued for the sampling analysis result.

[0029] Furthermore, determine the receiving difference source according to the receiving frequency difference coefficient of each associated component source. Denote the associated component source with a receiving frequency difference coefficient greater than the preset receiving frequency difference coefficient as the receiving difference source;

[0030] The receiving difference ratio = the number of receiving difference sources of the target incineration component / the number of associated component sources of 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, conduct component change analysis for the target incineration component, including,

[0033] Determine the analysis strategy according to the component coincidence coefficient of the target incineration component;

[0034] If the component coincidence coefficient is greater than the preset component coincidence coefficient, conduct receiving compensation analysis for each coincidence analysis component, and increase and adjust the sampling analysis parameters according to the change-related receiving ratio;

[0035] If the component coincidence coefficient is less than or equal to the preset component coincidence coefficient, increase and adjust the sampling analysis parameters according to the receiving component change coefficient;

[0036] The increase value of the sampling analysis parameter has a positive correlation with the receiving component change coefficient.

[0037] Furthermore, when conducting receiving compensation analysis for any coincidence analysis component, determine the fluctuation effective compensation coefficient of the coincidence analysis component according to the receiving correlation coefficient and the repeated coverage parameter, and denote the coincidence analysis component with a fluctuation effective compensation coefficient less than the preset fluctuation effective compensation coefficient as the changed component;

[0038] The change-related receiving ratio = the sum of the associated receiving times corresponding to each changed component / the total receiving times of the target incineration component.

[0039] Compared with the prior art, the beneficial effects of the present invention are as follows. The technical solution of the present invention determines the incineration component state according to the associated source richness and associated source fluctuation degree of the target incineration component, and determines a targeted component monitoring method based on the incineration component state to analyze the target incineration component, making the monitoring of the composition change situation of the target incineration component more in line with the actual situation, and further improving the accuracy of the monitoring result of the component change situation of the target incineration component.

[0040] Further, in the present invention, the incineration component state is determined according to the associated source richness and the associated source fluctuation degree of the target incineration component to characterize the compositional stability degree of the target incineration component. When the associated source fluctuation degree is relatively large, it means that the target incineration component has continuous fluctuations during a period. Prediction analysis is carried out on its fluctuation trend to measure the reliability of the sampling analysis result, and then the sampling analysis process is optimized. The present invention improves the accuracy of the monitoring result of the compositional change of the target incineration component, and further improves the accuracy of the carbon emission accounting result.

[0041] Further, when performing analysis based on combined feature monitoring in the present invention, the associated combination strategy is determined according to the key source proportion of the target incineration component. By further analyzing the fluctuation conditions of the associated component sources and analyzing each associated analysis combination, the compensation situation of the fluctuation results between the associated component sources with component fluctuations in actual situations is determined, ensuring the reliability of the judgment result of the component change trend of the target incineration component. In addition, the associated analysis combination is determined based on the targeted combination strategy, while ensuring the compensation situation between the associated component sources, improving the data processing efficiency during the analysis process.

[0042] Further, when the associated source fluctuation degree of the target incineration component is small but the associated source richness is large, the fluctuations in the sampling analysis results of the target incineration component are often related to the associated component sources and the receiving frequencies of the associated component sources. Analyzing the actual receiving situation within the component analysis cycle to optimize the sampling analysis process, making the sampling analysis process more in line with the actual situation, and being able to improve the reliability of the detection result of the target incineration component.

[0043] Furthermore, in the present invention, the analysis strategy is determined according to the component coincidence 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 result for the sampling analysis parameters, and further improving the reliability of the sampling analysis result of the target incineration component. The present invention improves the accuracy of the carbon emission accounting result. Description of the Drawings

[0044] Figure 1 It is a schematic diagram of the carbon emission accounting method for domestic waste incineration enterprises of the present invention;

[0045] Figure 2 It is a flowchart of the component monitoring method for determining the target incineration component according to the incineration component state of the present invention;

[0046] Figure 3 It is a flowchart of determining the associated combination strategy according to the key source proportion of the target incineration component of the present invention;

[0047] Figure 4 This is a flowchart for the present invention to determine an analysis strategy based on the component coincidence coefficient of the reception difference source. Detailed implementation manners

[0048] In order to make the objectives and advantages of the present invention clearer and more understandable, the present invention will be further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0049] The preferred implementation manners of the present invention will be described below with reference to the accompanying drawings. Those skilled in the art should understand that these implementation manners are only used to explain the technical principle of the present invention and do not limit the protection scope of the present invention.

[0050] It should be noted that in the description of the present invention, the terms indicating the direction or positional relationship such as "upper", "lower", "left", "right", "inner", "outer", etc. are based on the direction or positional relationship shown in the drawings. This is only for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the present invention.

[0051] In addition, it should also be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installation", "connection", and "connection" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the communication inside two elements. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific situations.

[0052] Please refer to Figures 1 to 4 As shown, an embodiment of the present invention provides a carbon emission accounting method for domestic waste incineration enterprises, including:

[0053] Determine the incineration component state of the target incineration component according to the correlation source richness and correlation source fluctuation degree of the target incineration component, and determine the component monitoring method of the target incineration component according to the incineration component state. The component monitoring method is to analyze the target incineration component based on combined feature monitoring or reception state monitoring;

[0054] When analyzing based on combined feature monitoring, determine the correlation combination strategy according to the key source ratio of the target incineration component to determine the correlation analysis combination and the compensation change components, and determine whether to perform change matching analysis based on the trend change coefficient of the target incineration component;

[0055] The associated combination strategy is to conduct association analysis and combination division based on the coincidence degree of fluctuation periods or the relevance of source components;

[0056] When conducting analysis based on reception status monitoring, the proportion of reception differences and the reference reception frequency difference coefficient for the target incineration component are detected to determine whether to conduct component change analysis for the target incineration component, and the analysis strategy is determined according to the component coincidence coefficient;

[0057] The analysis strategy is to adjust the sampling analysis parameters according to the change-associated reception proportion or the reception component change coefficient.

[0058] Among them, in the process of carbon emission accounting for domestic waste incineration enterprises by the present invention, the current domestic waste incineration enterprise undergoing accounting is recorded as the target incineration component, the domestic waste incinerated by the target incineration component is recorded as the target incineration component, the source institutions constituting the target incineration component are recorded as the associated component sources of the target incineration component, and the domestic waste produced by each associated component source is correspondingly recorded as the associated component of each associated component source. The source institutions in the present invention include, but are not limited to: residential communities, dining blocks, office areas, government agencies, and educational institutions. Each source institution is provided with several key monitoring stages, and the key monitoring stage is a time period when there are likely to be compositional changes in the associated components. For example, the time period corresponding to legal holidays is recorded as the key monitoring stage of the residential community. This is easily understood by those skilled in the art and will not be elaborated here.

[0059] In the present invention, a cyclic component analysis period is applied. The duration of the component analysis period can be determined by the user himself / herself. The higher the user's accuracy requirement for the analysis result of the target incineration component, the shorter the duration of the component analysis period. A duration of the component analysis period is provided. The component analysis period is 15 days. At the end of each component analysis period, analysis is conducted for the target incineration component based on combined feature monitoring or reception status monitoring, and sampling analysis is conducted for the target incineration component;

[0060] In the present invention, several component analysis records are applied. Any one of the component analysis records records the associated source fluctuation degree, key source proportion, associated source richness, accounting interference coefficient, fluctuation period coincidence degree, period compensation parameter, source component correlation degree, related compensation parameter, trend change coefficient, receiving frequency difference coefficient, receiving component change coefficient, component coincidence coefficient, fluctuation effective compensation coefficient, the number of coincidence analysis sources of each coincidence analysis component, and associated parameters during the analysis of the target incineration component at least once. And each component analysis record corresponds to a qualified mark, which records whether the accuracy of the analysis result of the target incineration component meets the user's requirements. It can be understood that the user can determine whether the accuracy of the analysis result of the target incineration component meets the requirements according to the self-set index. For example, the self-set index can be but is not limited to the carbon emission accounting deviation value, which is the difference between the actual emission and the accounting result during the carbon emission accounting process.

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

[0062] Determine the associated combination strategy according to the key source proportion of the target incineration component.

[0063] If the key source proportion is greater than the preset key source proportion, conduct an associated analysis combination division for the key component source according to the fluctuation period coincidence degree.

[0064] If the key source proportion is less than or equal to the preset key source proportion, conduct an associated analysis combination division for the associated component source according to the source component correlation degree.

[0065] Among them, for the target incineration component within a single component analysis cycle, the associated source fluctuation degree B = e α +e β, α is the reference fluctuation index of the target incineration component, and β is the associated source change index of the target incineration component. 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 period. The associated source change index is the number of new component sources of the target incineration component received within the current component analysis period. The new component source is an associated component source that exists in the current component analysis period but did not exist in the previous component analysis period. For any associated component source, the component fluctuation index is the number of component fluctuation cycles involved by this associated component source during the fluctuation assessment stage. If this associated component source exists in a component analysis period and there is a warning for the sampling analysis result or adjustment is made to the sampling analysis parameters in this component analysis period, then this component analysis period is recorded as the component fluctuation cycle of this associated component source. The end time of the fluctuation assessment stage is the end time of the current component analysis period, and the duration of the fluctuation assessment stage can be set by the user according to the actual working scenario. Provide a duration for the fluctuation assessment stage, and the fluctuation assessment stage is 90 days;

[0066] The values of the preset associated source fluctuation degree and the preset key source proportion can be determined by the user according to the actual working scenario. For example, the user can set according to the component analysis record. The higher the user's requirement for the accuracy of the analysis result of the target incineration component, the smaller the value of the preset associated source fluctuation degree and the smaller the value of the preset key source proportion. Provide a method for obtaining the value of the preset associated source fluctuation degree. Record the component analysis record analyzed based on the reception status monitoring as the status assessment record, and record the maximum value of the associated source fluctuation degree in the status assessment records that meet the user's requirement for the accuracy of the analysis result of the target incineration component as the preset associated source fluctuation degree. Provide a method for obtaining the value of the preset key source proportion. Record the component analysis record grouped by correlation analysis according to the fluctuation cycle coincidence degree as the combined reference record, and record the minimum value of the key source proportion in the combined reference records that meet the user's requirement for the accuracy of the analysis result of the target incineration component as the preset key source proportion.

[0067] Specifically, when the target incineration component is in the state of the second-class incineration component with the associated source fluctuation degree less than or equal to the preset associated source fluctuation degree and the associated source richness greater than the preset associated source richness, analyze the target incineration component based on the reception status monitoring;

[0068] Periodically detect the reception frequency difference coefficient of each associated component source of the target incineration component, determine the reception component change coefficient of the target incineration component according to the reception difference ratio and the reference reception frequency difference coefficient, and determine whether to perform component change analysis on the target incineration component according to the reception component change coefficient.

[0069] Among them, for the target incineration component within a single component analysis cycle, the associated source richness is the average value of the number of associated component sources of the target incineration component in each component analysis cycle during the fluctuation evaluation stage. The value of the preset associated source richness 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 validity of the monitoring data, the smaller the value of the preset associated source richness. A method for obtaining the value of the preset associated source richness is provided, and the minimum value of the associated source richness in the status evaluation record that meets the user's requirement for the accuracy of the analysis result of the target incineration component is recorded as the preset associated source richness;

[0070] When analyzing the target incineration component based on the 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 = the reception frequency difference value of this associated component source / the reception frequency reference value of this associated component source within the current component analysis cycle. The reception frequency difference value is the absolute value of the difference between the reception frequency reference value of this associated component source in the current component analysis cycle and that in the previous component analysis cycle. The reception frequency reference value is the number of times of the incineration component generated by obtaining this associated component source within the component analysis cycle. For the target incineration component within a single component analysis cycle, the reception component change coefficient = ln(reception difference ratio × reference reception frequency difference coefficient).

[0071] Specifically, when analyzing based on the combined feature monitoring, the accounting interference 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 the accounting interference coefficient greater than the preset accounting interference coefficient is recorded as the key component source;

[0072] The key source ratio is the ratio of the number of key component sources to the number of associated component sources of the target incineration component;

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

[0074] Among them, when analyzing the target incineration components based on the reception status monitoring, the key source proportion of the target incineration components is detected at the end of each component analysis cycle. 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. The calculated interference coefficient is the sum of the products of the fluctuation stage coverage parameter and the component fluctuation index and their corresponding interference factor weight coefficients respectively. The fluctuation stage coverage parameter is the duration of the key monitoring stage of this associated component source in the current component analysis cycle, and the unit of the fluctuation stage coverage parameter is days. The values of the interference factor weight coefficients corresponding to the fluctuation stage coverage parameter and the component fluctuation index can be determined by the user according to the actual working scenario. A set of values of the interference factor weight coefficients corresponding to the fluctuation stage coverage parameter and the component fluctuation index is provided. The value of the interference factor weight coefficient corresponding to the fluctuation stage coverage parameter is 0.7, and the value of the interference factor weight coefficient corresponding to the component fluctuation index is 0.3;

[0075] The associated component sources with a calculated interference coefficient less than or equal to the preset calculated interference coefficient are recorded as conventional 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 record. The higher the user's requirement for the validity of the monitoring data, the smaller the value of the preset calculated interference coefficient. A method for obtaining the value of the preset calculated interference coefficient is provided. The average value of the calculated interference coefficients of the key component sources in the component analysis records that meet the user's requirement for the validity of the monitoring data is recorded as the preset calculated interference coefficient.

[0076] Specifically, 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 the preset fluctuation period coincidence degree;

[0077] According to the fluctuation related parameters and the coincidence duration of each compensated monitoring component, the period compensation parameter is determined, and the compensated monitoring components with a period compensation parameter greater than the preset period compensation parameter are recorded as compensated change components;

[0078] The fluctuation period coincidence degree is determined according to the coincidence monitoring stage.

[0079] Among them, for a single correlation analysis combination determined according to the coincidence degree of fluctuation periods, the coincidence degree of fluctuation periods = the duration of the coincidence monitoring stage / the duration of the component analysis period. The key monitoring stage in which each key component source exists within the current component analysis period is recorded as the coincidence monitoring stage of this correlation analysis combination. The incineration components included in this correlation analysis combination are recorded as compensation monitoring components. The value of the preset coincidence degree of fluctuation periods 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 accuracy requirement of the user for the analysis result of the target incineration component, the larger the value of the preset coincidence degree of fluctuation periods. A method for determining the value of the preset coincidence degree of fluctuation periods is provided. The component analysis record that determines the correlation analysis combination according to the coincidence degree of fluctuation periods is recorded as a type of classification record. The minimum value of the coincidence degrees of fluctuation periods of each correlation analysis combination in the type of classification record that meets the accuracy requirement of the user for the analysis result of the target incineration component is recorded as the preset coincidence degree of fluctuation periods;

[0080] For a single compensation monitoring component, the periodic compensation parameter is determined according to the fluctuation-related parameter and the coincidence duration. The periodic compensation parameter = ln(fluctuation-related parameter × coincidence duration). The fluctuation-related parameter is the sum of the products of the proportion change degree of the relevant key monitoring stages of each key component source where this compensation monitoring component exists and the corresponding relevant evaluation coefficients. For a single key component source, the relevant key monitoring stage is the component analysis period in the component analysis record where this compensation monitoring component exists and any key monitoring stage within the current component analysis period. The coincidence duration is the average value of the durations of the coincidence monitoring stages of each key component source where this compensation monitoring component exists;

[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 accuracy requirement of the user for the analysis result 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. The minimum value of the periodic compensation parameters of each compensation change component in the type of classification record that meets the accuracy requirement of the user for the analysis result of the target incineration component is recorded as the preset periodic compensation parameter.

[0082] Specifically, when determining the correlation analysis combination according to the source component correlation, the source component correlation between any two associated component sources within each correlation analysis combination is greater than the preset source component correlation;

[0083] The relevant compensation parameter is determined according to the relevant compensation parameter of each compensation monitoring component and the received change index. The compensation monitoring component with the relevant compensation parameter greater than the preset relevant compensation parameter is recorded as the compensation change component.

[0084] Among them, for any two associated component sources, the source component correlation degree is the number of component analysis cycles in which the above two associated component sources have the same incinerated components during the fluctuation evaluation stage. The value of the preset source component correlation degree 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 result of the target incinerated component, the larger the value of the preset source component correlation degree. A method for determining the value of the preset source component correlation degree is provided. The component analysis record for determining the associated analysis combination according to the source component correlation degree is recorded as a second-class classification record. The minimum value of the source component correlation degrees between any two associated component sources within each associated analysis combination in the second-class classification records that meet the user's requirement for the accuracy of the analysis result of the target incinerated component is recorded as the preset source component correlation degree;

[0085] For a single associated analysis combination determined according to the source component correlation degree, the incinerated components included in the key component source are recorded as compensation monitoring components. For a single compensation monitoring component, the relevant compensation parameter is determined according to the relevant compensation parameter and the received change index. The relevant compensation parameter = ln(relevant compensation parameter × received change index). The relevant compensation parameter is the difference obtained by subtracting the number of key component sources containing this compensation monitoring component from the number of associated component sources containing this compensation monitoring component in the associated analysis combination. The received change index is the average value of the received frequency difference coefficients of each associated component source containing this compensation monitoring component in the associated 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 according to the component analysis record. The higher the user's requirement for the accuracy of the analysis result of the target incinerated 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. The minimum value of the relevant compensation parameters of each compensation change component in the second-class classification records that meet the user's requirement for the accuracy of the analysis result of the target incinerated component is recorded as the preset relevant compensation parameter.

[0086] Specifically, based on the change compensation components of each associated analysis combination, a trend change coefficient is determined, and whether to perform a change matching analysis is determined according to the trend change coefficient;

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

[0088] Sampling analysis is performed on the target incinerated component to determine the sampling component result of the target incinerated component;

[0089] Based on the trend difference index of the component to be evaluated, the change matching degree is determined. If the change matching degree of the target incinerated component is less than the preset change matching degree, a warning is given for the sampling analysis result.

[0090] Among them, the trend change coefficient is the sum of the quantities of the compensated change components of each associated analysis combination of the target incineration components. 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 record. The higher the user's requirement for the validity 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. The component analysis record for which change matching analysis is performed is denoted as the change reference record, and the minimum value of the trend change coefficient in the change reference records that meet the user's requirement for the validity of the monitoring data is denoted 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, and the incineration components included in the target incineration component obtained by the sampling analysis and the corresponding component proportion of each incineration component are denoted as the sampling component result of the target incineration component. When the trend change coefficient is less than or equal to the preset trend change coefficient, change matching analysis is not performed on the target incineration component. How to perform sampling analysis on the target incineration component is easily understood by those skilled in the art and will not be elaborated here. The incineration components involved in the target incineration component in the present 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 difference value of the component proportion corresponding to each incineration component between the current component analysis cycle and the previous component analysis cycle is detected. For a single incineration component, the component proportion difference value is the difference obtained by subtracting the component proportion of this incineration component in the previous component analysis cycle from the component proportion of this incineration component in the current component analysis cycle. The proportion change degree = the absolute value of the component proportion difference value / the component proportion of this incineration component in the previous component analysis cycle. The incineration component with a component proportion difference value greater than the preset component proportion difference value is denoted as the change analysis component, and the incineration component that is both a change analysis component and a compensated change component is denoted as the component to be evaluated. For a single component to be evaluated, the reference change trend index of this component to be evaluated is detected, and the proportion change degree corresponding to this component to be evaluated under the current compensated change parameter in the component analysis records that meet the user's requirement for the accuracy of the analysis result of the target incineration component is obtained. The average value of the obtained proportion change degrees each time is denoted as the reference change trend index, and the average value of the absolute values of the differences between each proportion change degree and the reference change trend index is denoted as the effective change index;

[0093] The component to be evaluated with a trend difference index less than the effective change index is denoted as the effective compensation component. The trend difference index is the absolute value of the difference between the proportion change degree of the component to be evaluated and the reference change trend index. The change matching degree = the number of effective compensation components / the number of components for change analysis. The value of the preset change matching degree 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 validity of the monitoring data, the larger the value of the preset change matching degree. A method for obtaining the value of the preset change matching degree is provided. The average value of the change matching degrees of the component analysis records that do not meet the user's requirement for the validity of the monitoring data is denoted as the preset change matching degree. If the change matching degree is less than the preset change matching degree, a warning is issued for the sampling analysis result. The user can optimize the sampling analysis process based on the change matching degree. For example, the sampling analysis parameters can be adjusted to increase.

[0094] Specifically, the receiving difference source is determined according to the receiving frequency difference coefficient of each associated component source. The associated component source with a receiving frequency difference coefficient greater than the preset receiving frequency difference coefficient is denoted as the receiving difference source;

[0095] The receiving difference ratio is the ratio of the number of receiving difference sources of the target incineration component to the number of associated component sources of the target incineration component;

[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] Among them, the receiving difference ratio = the number of receiving difference sources of the target incineration component / the number of associated component sources of the target incineration component. The value of the preset receiving 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 requirement for the accuracy of the analysis result of the target incineration component, the smaller the value of the preset receiving frequency difference coefficient. A method for obtaining the value of the preset receiving frequency difference coefficient is provided. The average value of the receiving frequency difference coefficients of each receiving difference source in the component analysis records that meet the user's requirement for the accuracy of the analysis result of the target incineration component is denoted as the preset receiving frequency difference coefficient.

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

[0099] Determine the analysis strategy according to the component coincidence coefficient of the target incineration component;

[0100] If the component coincidence coefficient is greater than the preset component coincidence coefficient, receiving compensation analysis is performed on each coincidence analysis component, and the sampling analysis parameters are adjusted to increase according to the change-associated receiving ratio;

[0101] If the component coincidence coefficient is less than or equal to the preset component coincidence coefficient, the sampling analysis parameters are increased according to the received component change coefficient;

[0102] The increased value of the sampling analysis parameters is positively correlated with the received component change coefficient.

[0103] Among them, the value of the preset received 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 requirement for the validity of the monitoring data, the smaller the value of the preset received component change coefficient. A method for obtaining the value of the preset received component change coefficient is provided. 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 received component change coefficient of the target incineration component in the change reference record that meets the user's accuracy requirement for the analysis result of the target incineration component is recorded as the preset received component change coefficient;

[0104] When the received component change coefficient is greater than the preset received component change coefficient, the component coincidence coefficient of the target incineration component in the current component analysis period is detected. The component coincidence coefficient = the number of coincident analysis components of the target incineration component / the number of incineration components of the target incineration component. The value of the preset component coincidence 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. A method for obtaining the value of the preset component coincidence coefficient is provided. The component analysis record for increasing the sampling analysis parameters according to the change-related received ratio is recorded as the coincidence reference record, and the minimum value of the component coincidence coefficient in the coincidence reference record that meets the user's accuracy requirement for the analysis result of the target incineration component is recorded as the preset component coincidence coefficient; if the component coincidence coefficient is greater than the preset component coincidence coefficient, the sampling analysis parameters are increased according to the change-related received ratio. The increased value of the sampling analysis parameters is negatively correlated with the change-related received ratio. If the component coincidence coefficient is less than or equal to the preset component coincidence coefficient, the sampling analysis parameters are increased according to the received component change coefficient. Due to the differences in the sampling analysis results in different regions caused by the received associated components, the sampling analysis parameters are adjusted to further improve the reliability of the sampling analysis results. While ensuring the reliability of the obtained sampling analysis results, unnecessary analysis processes are avoided. In the present invention, the sampling analysis parameters include but are not limited to the number of sampling copies and the sampling interval distance. The number of sampling copies 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 obtained each time during the sampling analysis process.

[0105] Specifically, when performing reception compensation analysis for any overlapping analysis component, the fluctuation effective compensation coefficient of the overlapping analysis component is determined according to the reception correlation coefficient and the repeated coverage parameter, and the overlapping analysis components with a fluctuation effective compensation coefficient less than the preset fluctuation effective compensation coefficient are recorded as changed components;

[0106] The changed correlation reception ratio = the sum of the correlation reception times corresponding to each changed component / the total reception times of the target incineration component.

[0107] Among them, if the number of associated component sources of an incineration component is greater than the preset overlapping parameter, it is determined that the incineration component is an overlapping analysis component, and the associated component source where the incineration component exists is recorded as the overlapping analysis source of the incineration component. For a single overlapping analysis component, the fluctuation effective compensation coefficient = ln(repeated coverage parameter / reception correlation coefficient), the reception correlation coefficient is the average value of the correlation parameters of each associated reception stage of the overlapping analysis component, the repeated coverage parameter = the sum of the durations of each associated reception stage / the duration of the current component analysis cycle, and the correlation parameters of each associated reception stage are less than the preset correlation parameter. For a single associated reception stage, the correlation parameter is the average value of the interval durations between each two adjacent associated receptions within the associated reception stage. For a single incineration component, when any acquisition of associated components of the associated component source including the incineration component is completed, it is recorded as the completion of an associated reception of the incineration component;

[0108] The values of the preset effective compensation coefficient, the preset overlapping parameter, and the preset correlation parameter can be determined by the user according to the actual working scenario. For example, the user can set according to the component analysis record. The higher the user's requirement for the validity 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 obtaining the value of the preset fluctuation effective compensation coefficient is provided. The average value of the fluctuation effective compensation coefficients of each changed component in the component analysis record that meets the user's requirement for the validity of the monitoring data is recorded as the preset fluctuation effective compensation coefficient. A method for obtaining the value of the preset overlapping parameter is provided. The average value of the number of overlapping analysis sources of each overlapping analysis component in the component analysis record that meets the user's requirement for the validity of the monitoring data is recorded as the preset overlapping parameter. A method for obtaining the value of the preset correlation parameter is provided. The maximum value of the correlation parameters of each associated reception stage in the component analysis record that meets the user's requirement for the validity of the monitoring data is recorded as the preset correlation parameter;

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

[0110] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle 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 protection scope of the present invention.

[0111] The above are only the preferred embodiments of the present invention and are not used to limit the present invention; for those skilled in the art, the present invention can have various changes and modifications. Any modification, equivalent substitution, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for calculating carbon emissions for a domestic waste incineration enterprise, characterized in that: include: Determine the combustion component state of the target combustion component according to the associated source richness and associated source volatility of the target combustion component, and determine the component monitoring method of the target combustion component according to the combustion component state. The component monitoring method is to analyze the target combustion component based on combined feature monitoring or receiving state monitoring; When conducting analysis based on combined characteristic monitoring, determine the associated combination strategy based on the key source proportion of the target incineration component to determine the associated analysis combination, and compensate the change component based on the periodic compensation parameter or related compensation parameter, and determine whether to conduct a change matching analysis based on the trend change coefficient of the target incineration component; The correlation combination strategy is to perform correlation analysis combination division according to the overlap of fluctuation cycles or the correlation of source components; When analyzing based on receiving status monitoring, the receiving difference ratio of the target incineration component and the reference receiving frequency difference coefficient are tested to determine whether to conduct component change analysis for the target incineration component. When conducting component change analysis, the analysis strategy is determined based on the component overlap coefficient. The analysis strategy is to adjust the sampling analysis parameters according to the change of the associated reception ratio or the reception component change coefficient.

2. The carbon emission calculation method for domestic waste incineration enterprises according to claim 1 is characterized in that: When the target combustion component is in a combustion component state where the associated source fluctuation is greater than the preset associated source fluctuation, the target combustion component is analyzed based on the combined characteristic monitoring; Determine the associated combination strategy based on the key source proportions of the target incineration components; If the proportion of key sources is greater than the preset proportion of key sources, the key component sources will be divided into related analysis combinations according to the overlap of fluctuation cycles; If the key source proportion is less than or equal to the preset key source proportion, the sources of the associated components will be subjected to correlation analysis and combined division according to the relevance of the source components.

3. The carbon emission accounting method for domestic waste incineration enterprises according to claim 2 is characterized in that: When the target incineration component is in a Class II incineration component state where the associated source fluctuation is less than or equal to the preset associated source fluctuation and the associated source richness is greater than the preset associated source richness, the target incineration component is analyzed based on the receiving state monitoring; The receiving frequency difference coefficients of the sources of each related component of the target incineration component are periodically tested, and 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. Based on the receiving component change coefficient, it is determined whether to perform component change analysis on the target incineration component.

4. The carbon emission accounting method for domestic waste incineration enterprises according to claim 2 is characterized in that: When analyzing the component stability coefficient based on combined characteristic monitoring, the accounting interference 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 interference coefficient greater than the preset accounting interference coefficient is recorded as the key component source; The key source ratio is the ratio of the key component sources to the number of related component sources of the target incineration component; The calculation interference coefficient is positively correlated with the fluctuation stage coverage parameter and the component fluctuation index respectively.

5. The carbon emission accounting method for domestic waste incineration enterprises according to claim 4 is characterized in that: When determining the correlation analysis combination according to the fluctuation cycle overlap, the fluctuation cycle overlap of any correlation analysis combination is greater than the preset fluctuation cycle overlap; Determine the periodic compensation parameter according to the fluctuation-related parameters of each compensation monitoring component and the duration of overlap, and record the compensation monitoring component whose periodic compensation parameter is greater than the preset periodic compensation parameter as the compensation change component; The fluctuation cycle overlap degree is determined according to the overlap monitoring stage.

6. The carbon emission accounting method for domestic waste incineration enterprises according to claim 5 is characterized in that: When determining the association analysis combination according to the source component correlation, the source component correlation between any two sources of the associated components in each association analysis combination is greater than the preset source component correlation; The relevant compensation parameters are determined according to the relevant compensation parameters of each compensation monitoring component and the receiving change index, and the compensation monitoring component whose relevant compensation parameter is greater than the preset relevant compensation parameter is recorded as the compensation change component.

7. The carbon emission accounting method for domestic waste incineration enterprises according to claim 6 is characterized in that: Determine the trend change coefficient of the target incineration component based on the change compensation components of each correlation analysis combination, and determine whether to perform a change matching analysis based on the trend change coefficient; If the trend change coefficient is greater than the preset trend change coefficient, a change matching analysis is performed on the target incineration component. The change matching analysis process includes: Sampling and analyzing the target incineration components to determine the sampling component results of the target incineration components; The change matching degree is determined based on the trend difference index of the component to be evaluated. If the change matching degree of the target incineration component is less than the preset change matching degree, an early warning is issued for the sampling analysis results.

8. The carbon emission accounting method for domestic waste incineration enterprises according to claim 3 is characterized in that: Determine the reception difference source according to the reception frequency difference coefficient of each associated component source, and record the associated component source whose reception frequency difference coefficient is greater than the preset reception frequency difference coefficient as the reception difference source; The reception difference ratio is the ratio of the number of reception difference sources of the target incineration component to the number of associated component sources of the target incineration component; The reference receiving frequency difference coefficient is an average value of the receiving frequency difference coefficients of the sources of the associated components of the target incineration component.

9. The carbon emission accounting method for domestic waste incineration enterprises according to claim 8 is characterized in that: 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: Determine the analysis strategy based on the component overlap coefficient of the target incineration component; If the component overlap coefficient is greater than the preset component overlap coefficient, a receiving compensation analysis is performed on each overlapping analysis component, and the sampling analysis parameters are increased and adjusted according to the change in the associated receiving ratio; If the component overlap coefficient is less than or equal to the preset component overlap coefficient, the sampling and analysis parameters are increased and adjusted according to the received component change coefficient; The increase in the sampling analysis parameter is positively correlated with the change coefficient of the received component.

10. The carbon emission accounting method for domestic waste incineration enterprises according to claim 9 is characterized in that: When performing reception compensation analysis on any overlap analysis component, determine the fluctuation effective compensation coefficient of the overlap analysis component according to the reception correlation coefficient and the repeated coverage parameter, and record the overlap analysis component whose fluctuation effective compensation coefficient is less than the preset fluctuation effective compensation coefficient as a changed component; The change-related reception ratio = the sum of the number of related receptions corresponding to each change component / the sum of the number of receptions of the target incineration component.

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