Atmospheric pollutant and carbon emission analysis method and system based on coordinated pollution reduction and carbon reduction

Abstract

The present application provides a method and system for analyzing atmospheric pollutants and carbon emissions based on the coordination of pollution reduction and carbon reduction, which belongs to the field of atmospheric pollution and carbon emission analysis, and is used to solve the problem that pollution reduction and carbon reduction in related technologies are difficult to fully and truly reflect. In this method and system, the emission activity data, electricity usage data and heat usage data of the emission subject are used to comprehensively analyze the emissions of carbon dioxide and atmospheric pollutants directly or indirectly caused by the emission subject, and finally reflect it in a comprehensive emission data. The comprehensive emission data can comprehensively and truly reflect the pollution reduction and carbon reduction situation of the emission subject, which is conducive to the realization of the overall pollution reduction and carbon reduction goals.

Description

Technical Field

[0001] The present application relates to the technical field of atmospheric pollution and carbon emission analysis, and in particular to a method and system for analyzing atmospheric pollutants and carbon emissions based on coordinated pollution reduction and carbon reduction. Background Art

[0002] To implement relevant requirements, it is necessary to carry out research on analysis methods and systems for atmospheric pollutants and carbon emissions based on the synergy of pollution reduction and carbon reduction, and provide basic support for promoting the synergy and efficiency improvement of pollution reduction and carbon reduction.

[0003] Under the overall goal of reducing pollution and carbon emissions, it is necessary to comprehensively and truthfully reflect the pollution reduction and carbon reduction situation of a certain region, industry or enterprise in a certain period. However, due to the numerous and complex sources of atmospheric pollutants and carbon emissions, there is currently no method that can comprehensively and truthfully reflect the situation of pollution reduction and carbon reduction. Summary of the Invention

[0004] The present application provides a method and system for analyzing atmospheric pollutants and carbon emissions based on the coordination of pollution reduction and carbon reduction, which is conducive to comprehensively and truthfully reflecting the pollution reduction and carbon reduction situation of a certain region, industry or enterprise in a certain period, and is conducive to the realization of the overall pollution reduction and carbon reduction goals.

[0005] In a first aspect, the present application provides a method for analyzing atmospheric pollutants and carbon emissions based on synergistic pollution reduction and carbon reduction. The method comprises:

[0006] Acquire emission activity data, electricity usage data, and heat usage data of the emitter per unit time, wherein the emission activity data reflects quantitative data of the emitter's activities that directly lead to target emissions, the electricity usage data carries an electricity type structure, and the heat usage data carries a heat type structure, and the target emissions include carbon dioxide and various atmospheric pollutants;

[0007] Substituting the emission activity data, electricity usage data, and heat usage data into the constructed emission analysis model to obtain analyzed emission data per unit time for each target emission, wherein the analyzed emission data is positively correlated with the direct emissions obtained based on the emission activity data per unit time, the indirect electricity emissions obtained based on the electricity usage data per unit time, and the indirect heat emissions obtained based on the heat usage data per unit time;

[0008] Based on the pre-acquired emission coefficient of each target emission, the comprehensive emission data of the emission subject corresponding to the unit time period is determined according to the analyzed emission data.

[0009] By adopting the above technical solution, it is possible to conduct intelligent analysis on the emissions of carbon dioxide and atmospheric pollutants per unit time of the emission subject, and reasonably determine the total emission data reflected by the emission subject in the process of pollution reduction and carbon reduction. The comprehensive emissions can comprehensively and truly reflect the pollution reduction and carbon reduction situation of the emission subject, so as to facilitate the coordinated implementation of pollution reduction and carbon reduction work, and be conducive to the realization of pollution reduction and carbon reduction goals.

[0010] Furthermore, it also includes:

[0011] Obtaining a time attention coefficient, and / or a sequence attention coefficient, and / or a deviation attention coefficient of the comprehensive emission data of the emission subject;

[0012] Calculate the product of the comprehensive emission data and the time concern coefficient, and / or sequence concern coefficient, and / or deviation concern coefficient as the emission concern score for the corresponding unit time;

[0013] The method for obtaining the time attention coefficient includes:

[0014] Constructing a periodic weight function, wherein the periodic weight function is used to input a time value to determine a time attention coefficient of the time value mapping based on a pre-constructed periodic segmentation rule;

[0015] Determine the timestamp of the comprehensive emission amount according to the start and end times of the corresponding unit time;

[0016] Substituting the timestamp into a periodic weight function to obtain a time attention coefficient corresponding to the comprehensive emission amount;

[0017] The method for obtaining the sequence attention coefficient includes:

[0018] constructing an emission subject set, wherein the emission subject set includes a plurality of emission subjects;

[0019] Determine the comprehensive emission data of each emitter in the emission entity group for the same unit time;

[0020] Constructing a sequence weight function, wherein the sequence weight function is used to input a sequence value to determine a sequence attention coefficient of the sequence value mapping based on a pre-constructed sequence segmentation rule;

[0021] Substituting the sequence value obtained by arranging the comprehensive emission data of the emission subject in the emission subject set by size into the sequence weight function to obtain the sequence attention coefficient corresponding to the comprehensive emission;

[0022] The method for obtaining the deviation attention coefficient includes:

[0023] Obtain comprehensive emission data for the current unit time and a preset number of consecutive unit time periods before the current unit time;

[0024] Sort the comprehensive emission data of the current unit time and a preset number of consecutive unit time before the current unit time by timestamp from earliest to latest and from largest to smallest, to obtain a set of time sequence values ​​and size sequence values ​​of the comprehensive emission data;

[0025] Calculate the absolute value of the difference between the time rank value and the size rank value of each comprehensive emission as the rank difference, and calculate the sum of all rank differences as the comprehensive rank deviation;

[0026] Substitute the comprehensive order deviation into the pre-constructed order deviation attention model to obtain the deviation attention coefficient. The order deviation attention model is f(x)=1-e -x , where x is the comprehensive rank deviation and f(x) is the deviation attention coefficient.

[0027] Furthermore, the emission activity data includes fossil energy usage data, motor vehicle usage data, non-road mobile machinery usage data, and manufacturing activity data; the electricity usage data carries electricity structure information, which includes the weight coefficient of each electricity type and the emission coefficient of each target emission; the heat usage data carries heat structure information, which includes the weight coefficient of each heat type and the emission coefficient of each target emission;

[0028] The emission analysis model includes a direct emission analysis submodel, an electric power emission analysis submodel and a thermal emission analysis submodel;

[0029] The direct emissions analysis sub-model is used to input fossil energy usage data, motor vehicle usage data, non-road mobile machinery usage data, and manufacturing activity data to output direct emissions of each target emission;

[0030] The electricity emission analysis sub-model is used to input electricity usage data to output electricity indirect emissions of each target emission;

[0031] The heat emission analysis sub-model is used to input heat usage data to output heat indirect emissions of each target emission;

[0032] The analyzed emission data per unit time of the target emission is equal to the sum of the direct emissions, indirect emissions from electricity and indirect emissions from heat per unit time of the target emission.

[0033] Furthermore, the direct emission analysis sub-model includes: for each type of air pollutant in the target emissions,

[0034] Calculate the first vertical component data based on the fossil energy usage data. Suppose there are n1 types of fossil energy, and the usage of the i-th fossil energy is AD1i The emission coefficient of air pollutants per unit amount of the i-th fossil energy is EF AP1i , the removal efficiency for atmospheric pollutants is η APi The first direct emission component of atmospheric pollutants is DE AP1 ,but

[0035] The second direct-discharge component data is calculated based on the motor vehicle usage data. Assume that there are n2 types of motor vehicles, and the cumulative mileage of the i-th type of motor vehicle is L i The pollutant emission coefficient of the i-th motor vehicle per unit mileage is K 2i , the second vertical component data is DE AP2 ,but

[0036] The third direct component data is calculated based on the non-road mobile machinery usage data. Assume that there are n3 types of non-road mobile machinery, and the cumulative usage time of the i-th type of non-road mobile machinery is h i , average rated net power is G 3i , load factor is LF i , the pollutant emission coefficient is K 3i , the third vertical component data is DE AP3 ,but

[0037] The fourth vertical component data is calculated based on the production and manufacturing activity data. Suppose there are n4 kinds of production and manufacturing activities, and the activity amount data of the i-th production and manufacturing activity is AD 4i The emission coefficient of air pollutants for the i-th production and manufacturing activity per unit volume is EF AP4i The fourth direct emission component of atmospheric pollutants is DE AP4 ,but

[0038] Calculate the direct emission data of atmospheric pollutants based on the first, second, third and fourth straight component data. Let the direct emission data of atmospheric pollutants be DE AP , then DE AP =DE AP1 +DE AP2 +DE AP3 +DE AP4 .

[0039] Furthermore, the direct emission analysis sub-model includes: for the carbon dioxide in the target emission,

[0040] The direct emission data of carbon dioxide is calculated based on the fossil energy usage data. Assume that there are n1 types of fossil energy and the usage of the i-th fossil energy is AD1i , r i is the standard coal conversion coefficient of the i-th fossil energy, EF co2i is the carbon dioxide emission coefficient of the i-th fossil energy, DE CO2 is the direct emission of carbon dioxide, then

[0041] Furthermore, the power emission analysis sub-model includes: for each target emission,

[0042] Calculate the corresponding indirect electricity emissions based on electricity usage data. Suppose the electricity usage data is AD5, there are n5 types of electricity, and the proportion coefficient of the i-th type of electricity is Φ 5i , the corresponding preset emission coefficient is P 5i , the indirect emissions of electricity are IE5, then

[0043] Furthermore, for each target emission, the method for obtaining the preset emission coefficient includes:

[0044] Assume that the energy consumption coefficient of the i-th type of electricity is G 5i The energy consumption coefficient represents the amount of energy consumed to produce a unit of electricity. The preset emission coefficient corresponding to the electricity type is EF AP5i , the removal efficiency for target emissions is η APi , then P i =G 5i ×EF AP5i ×η APi .

[0045] Furthermore, the thermal emission analysis sub-model includes: for each target emission,

[0046] Calculate the corresponding indirect heat emissions based on the heat usage data. Assume that the heat usage data is AD6, there are n6 types of heat types, and the weight coefficient of the i-th heat type is Φ 6i , the preset emission coefficient of the target emission is P 6i , the indirect thermal emissions are IE6, then

[0047] Furthermore, for carbon dioxide, the method for obtaining the preset emission coefficient includes:

[0048] Let the calorific value coefficient of the i-th thermal type be CC i , carbon oxidation rate coefficient is OF i , thermal efficiency coefficient is η 6iThe calorific value coefficient represents the carbon content per unit calorific value of the fossil fuel used to produce the corresponding thermal type. The carbon oxidation rate coefficient represents the carbon oxidation rate of the fossil fuel used to produce the corresponding thermal type. The thermal efficiency coefficient represents the thermal efficiency of the corresponding thermal type. The preset emission coefficient of carbon dioxide is

[0049] For atmospheric pollutants, the method for obtaining the preset emission coefficient includes:

[0050] Assume that the heat consumption coefficient of the i-th thermal type is G 6i The heat consumption coefficient represents the amount of energy required to provide unit heat, and the facility emission coefficient is EF AP6i The removal efficiency of atmospheric pollutants is η APi , then the preset emission coefficient of atmospheric pollutants P 6i =G 6i ×EF AP6i ×(1-η APi ).

[0051] Furthermore, in the comprehensive emission data per unit time corresponding to the emission subject determined based on the emission coefficient of each target emission substance obtained in advance according to the analyzed emission data, the emission coefficient of atmospheric pollutants is negatively correlated with the pollution equivalent value of the corresponding atmospheric pollutants, and the emission coefficient of carbon dioxide is positively correlated with the average carbon emission price corresponding to the analysis object, and negatively correlated with the unit pollution equivalent tax corresponding to the analysis object.

[0052] In a second aspect, the present application provides an atmospheric pollutant and carbon emission analysis system based on coordinated pollution reduction and carbon reduction. The system applies any of the methods described in the first aspect above.

[0053] In summary, this application has at least the following beneficial effects:

[0054] 1. This paper provides a method and system for analyzing atmospheric pollutants and carbon emissions based on the coordinated implementation of pollution and carbon reduction. It can unify the accounting boundaries of atmospheric pollutants and carbon dioxide, and intelligently analyze the comprehensive emissions of emitters during the pollution and carbon reduction process. This method is conducive to comprehensively and truly reflecting the pollution and carbon reduction situation, thereby facilitating the achievement of pollution and carbon reduction targets.

[0055] 2. It can adjust the comprehensive emissions into emission concern scores by combining the time concern coefficient, sequence concern coefficient and deviation concern coefficient, so as to intelligently determine the degree to which each emission entity needs to be paid attention to in the coordinated work of pollution reduction and carbon reduction.

[0056] It should be understood that the contents described in the Summary of the Invention are not intended to limit the key or important features of the embodiments of the present application, nor are they intended to limit the scope of the present application. Other features of the present application will become readily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] The above and other features, advantages and aspects of the embodiments of the present application will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. In the accompanying drawings, the same or similar reference numerals represent the same or similar elements, wherein:

[0058] Figure 1 A flow chart of an atmospheric pollutant and carbon emission analysis method based on coordinated pollution reduction and carbon reduction in an embodiment of the present application is shown. DETAILED DESCRIPTION

[0059] To make the purpose, technical solutions, and advantages of the embodiments of this application more clear, the technical solutions in the embodiments of this application will be clearly and completely described below in conjunction with the drawings in the embodiments of this application. Obviously, the described embodiments are part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0060] In this document, the term "and / or" simply describes a relationship between related objects, indicating that three possible relationships exist. For example, "A and / or B" can represent: A exists alone, A and B exist simultaneously, or B exists alone. Furthermore, the character " / " in this document generally indicates that the related objects are in an "or" relationship.

[0061] This application provides a method and system for analyzing atmospheric pollutants and carbon emissions based on the coordination of pollution reduction and carbon reduction, which can comprehensively and truly analyze the pollution reduction and carbon reduction situation of the emission entities, and is conducive to the realization of pollution reduction and carbon reduction goals.

[0062] First, this application provides a method for analyzing atmospheric pollutants and carbon emissions based on coordinated pollution reduction and carbon reduction. This method can be executed by a server to understand the pollution reduction and carbon reduction status of the emission subject.

[0063] The emission subject can be a certain region, a certain industry or a certain enterprise, etc. Some behaviors of the emission subject will lead to the emission of carbon dioxide and various air pollutants. The emission subject not only has behaviors that directly emit carbon dioxide and air pollutants, such as the use of fuel vehicles and fuel machinery, the use of fossil fuels and some production and manufacturing activities, but also has behaviors that indirectly lead to the emission of carbon dioxide and air pollutants, mainly the use of electricity and heat from various channels. This method comprehensively collects all behaviors of the emission subject that lead to carbon dioxide and air pollutants, and comprehensively counts the direct and indirect emissions of carbon dioxide and air pollutants, so as to facilitate a direct and comprehensive quantitative evaluation of the behavior of the emission subject that leads to the emission of carbon dioxide and air pollutants, thereby better promoting the coordinated implementation of pollution reduction and carbon reduction work.

[0064] Figure 1 A flow chart of an atmospheric pollutant and carbon emission analysis method based on coordinated pollution reduction and carbon reduction in an embodiment of the present application is shown.

[0065] Reference Figure 1 , the method specifically comprises the following steps:

[0066] S1: Obtain emission activity data, electricity usage data, and heat usage data of the emission entity within a unit time period.

[0067] The purpose of this step method is to collect all behaviors of the emission subject that will cause the emission of carbon dioxide and air pollutants. This part of the behavior is mainly divided into three parts. The first part is the emission activity data that directly causes the emission of carbon dioxide and / or air pollutants, that is, the emission activity data. The emission activity data reflects the quantitative data of the activities of the emission subject that directly cause the target emissions. The second part is the behavior that causes the emission of carbon dioxide and air pollutants due to the use of electricity through various channels, that is, the electricity use data. The electricity use data carries an electricity type structure. The third part is the behavior that causes the emission of carbon dioxide and air pollutants due to the use of heat through various channels, that is, the heat use data. The heat use data carries a heat type structure. The air pollutants in the embodiments of the present application include but are not limited to nitrogen oxides, sulfur dioxide, inhalable particulate matter and volatile organic compounds.

[0068] Regarding the collection of emission activity data, electricity usage data and heat usage data, it can be collected by accessing detection devices such as electricity meters and heat meters, or by accessing production management systems to collect, for example, fossil fuel consumption, quantitative data on production and manufacturing behaviors, etc., or it can be manually counted and entered. In short, it is only necessary to obtain the emission activity data, electricity usage data and heat usage data of the emission entity.

[0069] Emission activity data, electricity usage data, and heat usage data from emitters are collected in real time. These data are timestamped, with start and end times for activities occurring over a period of time. Timestamps for these data generally only need to be accurate to the day.

[0070] S2: Substituting the emission activity data, electricity usage data, and heat usage data into the constructed emission analysis model to obtain the analyzed emission data per unit time for each target emission.

[0071] The analyzed emissions data is positively correlated with direct emissions derived from emission activity data per unit time, indirect electricity emissions derived from electricity usage data per unit time, and indirect heat emissions derived from heat usage data per unit time. The emissions analysis model includes a direct emissions analysis sub-model, an electricity emissions analysis sub-model, and a heat emissions analysis sub-model.

[0072] For the direct emission analysis sub-model and direct emissions, the emission activity data include fossil energy usage data, motor vehicle usage data, non-road mobile machinery usage data and production and manufacturing activity data. The direct emission analysis sub-model is used to input fossil energy usage data, motor vehicle usage data, non-road mobile machinery usage data and production and manufacturing activity data to output the direct emissions of each target emission.

[0073] Specifically, the direct emission analysis sub-model includes: for each air pollutant in the target emission, the first straight component data is calculated according to the fossil energy usage data, assuming that there are n1 types of fossil energy, and the usage of the i-th fossil energy is AD 1i The emission coefficient of air pollutants per unit amount of the i-th fossil energy is EF AP1i , the removal efficiency for atmospheric pollutants is η APi The first direct emission component of atmospheric pollutants is DE AP1 ,but The second direct-discharge component data is calculated based on the motor vehicle usage data. Assume that there are n2 types of motor vehicles, and the cumulative mileage of the i-th type of motor vehicle is L i The pollutant emission coefficient of the i-th motor vehicle per unit mileage is K 2i , the second vertical component data is DE AP2 ,but The third direct component data is calculated based on the non-road mobile machinery usage data. Assume that there are n3 types of non-road mobile machinery, and the cumulative usage time of the i-th type of non-road mobile machinery is hi , average rated net power is G 3i , load factor is LF i , the pollutant emission coefficient is K 3i , the third vertical component data is DE AP3 ,but The fourth vertical component data is calculated based on the production and manufacturing activity data. Suppose there are n4 kinds of production and manufacturing activities, and the activity amount data of the i-th production and manufacturing activity is AD 4i The emission coefficient of air pollutants for the i-th production and manufacturing activity per unit volume is EF AP4i The fourth direct emission component of atmospheric pollutants is DE AP4 ,but Calculate the direct emission data of atmospheric pollutants based on the first, second, third and fourth straight component data. Let the direct emission data of atmospheric pollutants be DE AP , then DE AP =DE AP1 +DE AP2 +DE AP3 +DE AP4 .

[0074] The direct emission analysis sub-model also includes: for the carbon dioxide in the target emission, calculating the direct emission data of carbon dioxide according to the fossil energy usage data, assuming that there are n1 types of fossil energy, and the usage of the i-th fossil energy is AD 1i , r i is the standard coal conversion coefficient of the i-th fossil energy, EF co2i is the carbon dioxide emission coefficient of the i-th fossil energy, DE CO2 is the direct emission of carbon dioxide, then

[0075] For the electricity emissions analysis sub-model and indirect electricity emissions, the electricity usage data carries electricity structure information, which includes the weight coefficient of each electricity type and the emission coefficient of each target emission; the electricity emissions analysis sub-model is used to input electricity usage data to output indirect electricity emissions for each target emission.

[0076] Specifically, the power emission analysis sub-model includes: for each target emission, the corresponding indirect power emission is calculated based on the power usage data. Assume that the power usage data is AD5, there are n5 types of power, and the weight coefficient of the i-th power type is Φ 5i , the corresponding preset emission coefficient is P 5i , the indirect emissions of electricity are IE5, then

[0077] For each target emission, the method for obtaining the preset emission coefficient includes: assuming that the energy consumption coefficient of the i-th type of electricity is G 5i The energy consumption coefficient represents the amount of energy consumed to produce a unit of electricity. The preset emission coefficient corresponding to the electricity type is EF AP5i , the removal efficiency for target emissions is η APi , then P i =G 5i ×EF AP5i ×η APi .

[0078] For the thermal emissions analysis sub-model and indirect thermal emissions, the thermal usage data carries thermal structure information, which includes the weight coefficient of each thermal type and the emission coefficient of each target emission; the thermal emissions analysis sub-model is used to input thermal usage data to output the indirect thermal emissions of each target emission.

[0079] Specifically, the heat emission analysis sub-model includes: for each target emission, the corresponding heat indirect emission is calculated according to the heat usage data, assuming that the heat usage data is AD6, there are n6 heat types, and the weight coefficient of the i-th heat type is Φ 6i , the preset emission coefficient of the target emission is P 6i , the indirect thermal emissions are IE6, then

[0080] For carbon dioxide, the method for obtaining the preset emission coefficient includes: assuming the calorific value coefficient of the i-th thermal type is CC i , carbon oxidation rate coefficient is OF i , thermal efficiency coefficient is η 6i The calorific value coefficient represents the carbon content per unit calorific value of the fossil fuel used to produce the corresponding thermal type. The carbon oxidation rate coefficient represents the carbon oxidation rate of the fossil fuel used to produce the corresponding thermal type. The thermal efficiency coefficient represents the thermal efficiency of the corresponding thermal type. The preset emission coefficient of carbon dioxide is

[0081] For atmospheric pollutants, the method for obtaining the preset emission coefficient includes: assuming that the heat consumption coefficient of the i-th thermal type is G 6i The heat consumption coefficient represents the amount of energy required to provide unit heat, and the facility emission coefficient is EF AP6i The removal efficiency of atmospheric pollutants is η APi , then the preset emission coefficient of atmospheric pollutants P 6i =G 6i ×EFAP6i ×(1-η APi ).

[0082] After calculating the direct emissions, indirect electricity emissions and indirect heat emissions of each target emission of the emission subject per unit time, the analytical emission data of each target emission of the emission subject per unit time can be calculated. The analytical emission data is equal to the sum of the direct emissions, indirect electricity emissions and indirect heat emissions of the target emission per unit time.

[0083] In the method of this step, the various coefficients in the emission analysis model, such as the emission coefficient of the i-th fossil energy for atmospheric pollutants is EF AP1i The pollutant emission coefficient of the i-th motor vehicle per unit mileage is K 2i The average rated net power of the i-th non-road mobile machinery is G 3i , load factor is LF i , the pollutant emission coefficient is K 3i The emission coefficient of air pollutants for the i-th production and manufacturing activity per unit volume is EF AP4i , the standard coal conversion coefficient r of the i-th fossil energy i , the proportion coefficient of the i-th power type is Φ 5i , the energy consumption coefficient is G 5i , the removal efficiency for target emissions is η APi , the specific gravity coefficient of the i-th thermal type is Φ 6i , the calorific value coefficient of the i-th thermal type is CC i , the carbon oxidation rate coefficient is OF i , thermal efficiency coefficient is η 6i , heat consumption coefficient is G 6i All of these are pre-determined by empirical data or data training to ensure the rationality of the relationships within the model. Of course, the emissions analysis model can also be expressed in other forms, provided that the relationships are met. It is sufficient that the analyzed emissions data output by the model reasonably reflects the actual carbon dioxide and each atmospheric pollutant generated by emission activity data, electricity usage data, and heat usage data.

[0084] S3: Based on the pre-acquired emission coefficient of each target emission, the comprehensive emission data of the emission subject corresponding to the unit time period is determined according to the analyzed emission data.

[0085] The method of this step includes determining an emission coefficient relative to each target emission, and the comprehensive emission data is equal to the weighted sum of all target emissions based on the emission coefficient, that is, the emission coefficient determined relative to each target emission multiplied by the sum of the analyzed emissions is the weighted emission value, and the sum of the weighted emission values ​​of all target emissions is equal to the comprehensive emission data of the emission entity within a unit time.

[0086] In the method of this step, the emission coefficient of atmospheric pollutants is negatively correlated with the pollution equivalent value of the corresponding atmospheric pollutants, and the pollution equivalent value is negatively correlated with the degree of impact of atmospheric pollutants on the environment, that is, the greater the impact of atmospheric pollutants on the environment, the higher the emission coefficient; the emission coefficient of carbon dioxide is positively correlated with the average carbon emission price corresponding to the analysis object, and negatively correlated with the unit pollution equivalent tax corresponding to the analysis object. Here, the impact of carbon dioxide is reflected in the average carbon emission price and the unit pollution equivalent tax, that is, the higher the society's attention to carbon dioxide and the higher the cost of emitting a unit amount of carbon dioxide, the greater the carbon dioxide emission coefficient.

[0087] Based on the above, comprehensive emissions data can directly and comprehensively reflect the pollution reduction and carbon reduction status of the emission subject within a unit time, which is conducive to controlling the comprehensive progress of pollution reduction and carbon reduction, ensuring the coordinated implementation of pollution reduction and carbon reduction work, and facilitating the realization of the overall pollution reduction and carbon reduction goals. Of course, some early warning strategies can also be equipped, such as when the comprehensive emissions data increases by a certain amount or when the comprehensive emissions data exceeds a certain amount, to promptly remind the emission subject and further ensure the realization of pollution reduction and carbon reduction goals.

[0088] Of course, in addition to the need to directly and comprehensively reflect the pollution reduction and carbon reduction situation of the emission subject, it is sometimes necessary to give different levels of attention to the emission subject in combination with the specific situation of the emission subject. In order to further improve the intelligence of the method and ensure that the method can meet the needs of attention levels of different dimensions of the emission subject, the method can also include: obtaining the time attention coefficient, and / or sequence attention coefficient, and / or deviation attention coefficient of the comprehensive emission data of the emission subject; calculating the product of the comprehensive emission data and the time attention coefficient, and / or sequence attention coefficient, and / or deviation attention coefficient as the emission attention score for the corresponding unit time.

[0089] Specifically, the time attention coefficient represents the degree of attention paid to the time of the unit duration. The method for obtaining the time attention coefficient includes: constructing a periodic weight function, the periodic weight function is used to input the time value, and determines the time attention coefficient mapped to the time value based on the pre-constructed periodic segmentation rule; determining the timestamp of the comprehensive emissions according to the start and end times of the corresponding unit duration; substituting the timestamp into the periodic weight function to obtain the time attention coefficient corresponding to the comprehensive emissions. The periodic weight coefficient can be specifically expressed as a piecewise function with a cycle of one week, one month, etc. For example, the time attention coefficient of Mondays is higher, while the time attention coefficient of Tuesday to Friday is lower. In this case, the periodic weight function can be constructed as a function with a specified day as the starting point and "7" as the period. When determining the day of the week of the specified day, the remainder of the number of days between the current day of the current unit duration and the preset specified day divided by 7 can be combined to determine the day of the week of the current day, thereby determining the corresponding time attention coefficient. The periodic weight function can also be constructed according to the corresponding logic with a monthly cycle, a quarterly cycle, a half-month cycle, or a half-year cycle. Of course, other means of analyzing the time attention coefficient can also be used.

[0090] The sequence attention coefficient characterizes the degree of attention of the sequence obtained by sorting the emission subjects according to the progress of pollution reduction and carbon reduction work within the emission subject set. The method for obtaining the sequence attention coefficient includes: constructing an emission subject set, the emission subject set including multiple emission subjects; determining the comprehensive emission data of each emission subject in the emission subject set for the same unit time; constructing a sequence weight function, the sequence weight function is used to input sequence values ​​to determine the sequence attention coefficient of the sequence value mapping based on the pre-constructed sequence segmentation rules; substituting the sequence value obtained by arranging the comprehensive emission data of the emission subject in the emission subject set by size into the sequence weight function to obtain the sequence attention coefficient corresponding to the comprehensive emission. Generally speaking, the sequence weight function is a monotonic function. The larger the comprehensive emission data of the emission subject in the emission subject set is, the higher the degree of attention to the emission subject should be. Of course, we can also prioritize those with high and low comprehensive emissions data within a set of emitters, while paying less attention to those with medium-level comprehensive emissions data. To do this, we simply need to adaptively construct a sequence weighting function. For example, we can calculate the absolute value of the sequence value of an emitter within the set minus half the total number of emitters in the set. The sequence attention coefficient is positively correlated with this absolute value. Naturally, other focus logics are also possible; they simply require adaptive construction of the corresponding sequence weighting function.

[0091] The deviation attention coefficient reflects whether the change in the comprehensive emission data of the emission subject within a certain period of time is in line with expectations. If it is not in line with expectations, more attention should be paid. The method for obtaining the deviation attention coefficient includes: obtaining the comprehensive emission data of the emission subject in the current unit time and the preset number of unit time periods before the current unit time; sorting the comprehensive emission data of the current unit time and the preset number of unit time periods before the current unit time by timestamp from first to last and from large to small, respectively, to obtain a set of time sequence values ​​and size sequence values ​​of the comprehensive emission data; calculating the absolute value of the difference between the time sequence value and the size sequence value of each comprehensive emission as the sequence difference, and calculating the sum of all sequence differences as the comprehensive sequence deviation; substituting the comprehensive sequence deviation into the pre-constructed sequence deviation attention model to obtain the deviation attention coefficient, and the sequence deviation attention model is f(x)=1-e -x , where x is the comprehensive rank deviation and f(x) is the deviation attention coefficient; the larger the comprehensive rank deviation, the higher the deviation attention coefficient.

[0092] The introduction of the aforementioned time attention coefficient, and / or sequence attention coefficient, and / or deviation attention coefficient on the basis of comprehensive emission data can be based on complex attention needs in actual scenarios. For example, the time attention coefficient can pay more attention to the autumn and winter seasons when air pollution is high each year, and can also pay more attention to periods of major periodic events. For example, the sequence attention coefficient can pay more attention to units whose emissions reach a certain ranking (a certain proportion of the total number) in a certain region, or to enterprises close to a certain ranking threshold, etc.

[0093] For actual concern needs, other forms of concern coefficients can also be configured, such as emission concern coefficients. Different emission concern coefficients can be assigned when the emission amounts are in different ranges, or an emission threshold can be determined based on the overall proportion of regional emissions, so that the emission concern coefficients of emission entities above the emission threshold are higher, or the emission concern coefficients of emission entities close to the emission threshold (the absolute value of the difference is less than the preset value) are higher, and so on. The concern coefficients can also be configured separately according to actual concern needs, which are not listed here one by one.

[0094] By assigning emission attention scores that can represent more information to emission entities through the above coefficients, emission entities can receive more reasonable attention, which is conducive to more intelligent analysis and management of pollution reduction and carbon reduction work. Regarding the fusion of multiple coefficients, the final emission entity attention coefficient can be determined by averaging, or it can be determined by weighted averaging. In the embodiment of this application, in order to ensure the compatibility of multi-coefficient fusion and allow different coefficients to be flexibly increased and decreased, a specific coefficient fusion algorithm model is configured. Where, is the i-th attention coefficient, n is the total number of attention coefficients, m is the preset impact number, m is less than n, f(k i ) is a function for finding the sum of the largest preset number of attention coefficients among n attention coefficients.

[0095] Of course, it is also possible to equip the system with logic for issuing a pre-alarm when the emission concern score exceeds the concern threshold or the growth exceeds the concern growth threshold, which will not be elaborated here.

[0096] To sum up, the method disclosed in the embodiment of the present application can collect data directly or indirectly related to the emission subject and the emission, comprehensively analyze the direct or indirect emissions of carbon dioxide and each type of atmospheric pollutant ultimately caused by the emission subject, and then realize the intelligent and comprehensive evaluation of the pollution reduction and carbon reduction work of the emission subject, which is conducive to the management of pollution reduction and carbon reduction and the realization of the goals, and the algorithm model based on the configured attention coefficient and the coefficient fusion enables the comprehensive emission data to meet actual and complex attention needs.

[0097] It should be noted that for the aforementioned method embodiments, for the sake of simplicity, they are all expressed as a series of action combinations, but those skilled in the art should be aware that this application is not limited by the order of the actions described, because according to the embodiments of this application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily required for this application.

[0098] In a second aspect, the present application provides an atmospheric pollutant and carbon emission analysis system based on coordinated pollution reduction and carbon reduction. The system includes a server, and the server applies any of the methods disclosed in the first aspect above.

[0099] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the described system can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0100] In summary, this application has at least the following beneficial effects:

[0101] 1. This paper provides an atmospheric pollutant and carbon emission analysis method and system based on the coordinated implementation of pollution reduction and carbon reduction. The method can unify the accounting boundaries of atmospheric pollutants and carbon dioxide, analyze the comprehensive emissions of emitters during the pollution reduction and carbon reduction process, and help comprehensively and truly reflect the pollution reduction and carbon reduction situation. It unifies the accounting boundaries of atmospheric pollutants and carbon dioxide, facilitating the achievement of pollution reduction and carbon reduction goals.

[0102] 2. It can adjust the comprehensive emissions into emission concern scores by combining the time concern coefficient, sequence concern coefficient and deviation concern coefficient, so as to intelligently determine the degree to which each emission entity needs to be paid attention to in the coordinated work of pollution reduction and carbon reduction.

[0103] The above description is merely a preferred embodiment of the present application and an illustration of the technical principles employed. Those skilled in the art should understand that the scope of disclosure in this application is not limited to the technical solutions formed by a specific combination of the above-mentioned technical features, but also encompasses other technical solutions formed by any combination of the above-mentioned technical features or their equivalents without departing from the aforementioned disclosed concepts. For example, a technical solution formed by replacing the above-mentioned features with (but not limited to) technical features with similar functions disclosed in this application.

Claims

1. A method for analyzing atmospheric pollutants and carbon emissions based on coordinated pollution reduction and carbon reduction, characterized in that: include: Acquire emission activity data, electricity usage data, and heat usage data of the emitter per unit time, wherein the emission activity data reflects quantitative data of the emitter's activities that directly lead to target emissions, the electricity usage data carries an electricity type structure, and the heat usage data carries a heat type structure, and the target emissions include carbon dioxide and various atmospheric pollutants; Substituting the emission activity data, electricity usage data, and heat usage data into the constructed emission analysis model to obtain analyzed emission data per unit time for each target emission, wherein the analyzed emission data is positively correlated with the direct emissions obtained based on the emission activity data per unit time, the indirect electricity emissions obtained based on the electricity usage data per unit time, and the indirect heat emissions obtained based on the heat usage data per unit time; Based on the pre-acquired emission coefficient of each target emission, determining the comprehensive emission data of the emission subject corresponding to the unit time according to the analyzed emission data; The method further comprises: Obtaining a time attention coefficient, and / or a sequence attention coefficient, and / or a deviation attention coefficient of the comprehensive emission data of the emission subject; Calculate the product of the comprehensive emission data and the time concern coefficient, and / or sequence concern coefficient, and / or deviation concern coefficient as the emission concern score for the corresponding unit time; The method for obtaining the time attention coefficient includes: Constructing a periodic weight function, wherein the periodic weight function is used to input a time value to determine a time attention coefficient of the time value mapping based on a pre-constructed periodic segmentation rule; Determine the timestamp of the comprehensive emission amount according to the start and end times of the corresponding unit time; Substituting the timestamp into a periodic weight function to obtain a time attention coefficient corresponding to the comprehensive emission amount; The method for obtaining the sequence attention coefficient includes: constructing an emission subject set, wherein the emission subject set includes a plurality of emission subjects; Determine the comprehensive emission data of each emitter in the emission entity group for the same unit time; Constructing a sequence weight function, wherein the sequence weight function is used to input a sequence value to determine a sequence attention coefficient of the sequence value mapping based on a pre-constructed sequence segmentation rule; Substituting the sequence value obtained by arranging the comprehensive emission data of the emission subject in the emission subject set by size into the sequence weight function to obtain the sequence attention coefficient corresponding to the comprehensive emission; The method for obtaining the deviation attention coefficient includes: Obtain comprehensive emission data for the current unit time and a preset number of consecutive unit time periods before the current unit time; Sort the comprehensive emission data of the current unit time and a preset number of consecutive unit time before the current unit time by timestamp from earliest to latest and from largest to smallest, to obtain a set of time sequence values ​​and size sequence values ​​of the comprehensive emission data; Calculate the absolute value of the difference between the time rank value and the size rank value of each comprehensive emission as the rank difference, and calculate the sum of all rank differences as the comprehensive rank deviation; Substitute the comprehensive order deviation into the pre-constructed order deviation attention model to obtain the deviation attention coefficient. The order deviation attention model is f(x)=1-e -x , where x is the comprehensive rank deviation and f(x) is the deviation attention coefficient.

2. The atmospheric pollutant and carbon emission analysis method based on coordinated pollution reduction and carbon reduction according to claim 1 is characterized in that: The emission activity data includes fossil energy usage data, motor vehicle usage data, non-road mobile machinery usage data, and manufacturing activity data; the electricity usage data carries electricity structure information, which includes the weight coefficient of each electricity type and the emission coefficient of each target emission; the heat usage data carries heat structure information, which includes the weight coefficient of each heat type and the emission coefficient of each target emission; The emission analysis model includes a direct emission analysis submodel, an electric power emission analysis submodel and a thermal emission analysis submodel; The direct emissions analysis sub-model is used to input fossil energy usage data, motor vehicle usage data, non-road mobile machinery usage data, and manufacturing activity data to output direct emissions of each target emission; The electricity emission analysis sub-model is used to input electricity usage data to output electricity indirect emissions of each target emission; The heat emission analysis sub-model is used to input heat usage data to output heat indirect emissions of each target emission; The analyzed emission data per unit time of the target emission is equal to the sum of the direct emissions, indirect emissions from electricity and indirect emissions from heat per unit time of the target emission.

3. The atmospheric pollutant and carbon emission analysis method based on coordinated pollution reduction and carbon reduction according to claim 2 is characterized in that: The direct emission analysis sub-model includes: for each type of air pollutant in the target emissions, Calculate the first vertical component data based on the fossil energy usage data. Suppose there are n1 types of fossil energy, and the usage of the i-th fossil energy is AD 1i The emission coefficient of air pollutants per unit amount of the i-th fossil energy is EF AP1i , the removal efficiency for atmospheric pollutants is η APi The first direct emission component of atmospheric pollutants is DE AP1 ,but The second direct-discharge component data is calculated based on the motor vehicle usage data. Assume that there are n2 types of motor vehicles, and the cumulative mileage of the i-th type of motor vehicle is L i The pollutant emission coefficient of the i-th motor vehicle per unit mileage is K 2i , the second vertical component data is DE AP2 ,but The third direct component data is calculated based on the non-road mobile machinery usage data. Assume that there are n3 types of non-road mobile machinery, and the cumulative usage time of the i-th type of non-road mobile machinery is h i , average rated net power is G 3i , load factor is LF i , the pollutant emission coefficient is K 3i , the third vertical component data is DE AP3 ,but The fourth vertical component data is calculated based on the production and manufacturing activity data. Suppose there are n4 kinds of production and manufacturing activities, and the activity amount data of the i-th production and manufacturing activity is AD 4i The emission coefficient of air pollutants for the i-th production and manufacturing activity per unit volume is EF AP4i The fourth direct emission component of atmospheric pollutants is DE AP4 ,but Calculate the direct emission data of atmospheric pollutants based on the first, second, third and fourth straight component data. Let the direct emission data of atmospheric pollutants be DE AP , then DE AP =DE AP1 +DE AP2 +DE AP3 +DE AP4 ; The direct emission analysis sub-model also includes: for carbon dioxide in the target emissions, The direct emission data of carbon dioxide is calculated based on the fossil energy usage data. Assume that there are n1 types of fossil energy and the usage of the i-th fossil energy is AD 1i , r i is the standard coal conversion coefficient of the i-th fossil energy, EF co2i is the carbon dioxide emission coefficient of the i-th fossil energy, DE CO2 is the direct emission of carbon dioxide, then 4. The atmospheric pollutant and carbon emission analysis method based on coordinated pollution reduction and carbon reduction according to claim 2 is characterized in that: The power emission analysis sub-model includes: for each target emission, Calculate the corresponding indirect electricity emissions based on electricity usage data. Suppose the electricity usage data is AD5, there are n5 types of electricity, and the proportion coefficient of the i-th type of electricity is Φ 5i , the corresponding preset emission coefficient is P 5i , the indirect emissions of electricity are IE5, then 5. The atmospheric pollutant and carbon emission analysis method based on coordinated pollution reduction and carbon reduction according to claim 4 is characterized in that: For each target emission, the method for obtaining the preset emission coefficient includes: Assume that the energy consumption coefficient of the i-th type of electricity is G 5i The energy consumption coefficient represents the amount of energy consumed to produce a unit of electricity. The preset emission coefficient corresponding to the electricity type is EF AP5i , the removal efficiency for target emissions is η APi , then P i =G 5i ×EF AP5i ×η APi .

6. The atmospheric pollutant and carbon emission analysis method based on coordinated pollution reduction and carbon reduction according to claim 2 is characterized in that: The thermal emission analysis sub-model includes: for each target emission, Calculate the corresponding indirect heat emissions based on the heat usage data. Assume that the heat usage data is AD6, there are n6 types of heat types, and the weight coefficient of the i-th heat type is Φ 6i , the preset emission coefficient of the target emission is P 6i , the indirect thermal emissions are IE6, then 7. The atmospheric pollutant and carbon emission analysis method based on coordinated pollution reduction and carbon reduction according to claim 6 is characterized in that: For carbon dioxide, the method for obtaining the preset emission coefficient includes: Let the calorific value coefficient of the i-th thermal type be CC i , the carbon oxidation rate coefficient is OF i , thermal efficiency coefficient is η 6i The calorific value coefficient represents the carbon content per unit calorific value of the fossil fuel used to produce the corresponding thermal type. The carbon oxidation rate coefficient represents the carbon oxidation rate of the fossil fuel used to produce the corresponding thermal type. The thermal efficiency coefficient represents the thermal efficiency of the corresponding thermal type. The preset emission coefficient of carbon dioxide is For atmospheric pollutants, the method for obtaining the preset emission coefficient includes: Assume that the heat consumption coefficient of the i-th thermal type is G 6i The heat consumption coefficient represents the amount of energy required to provide unit heat, and the facility emission coefficient is EF AP6i The removal efficiency of atmospheric pollutants is η APi , then the preset emission coefficient of atmospheric pollutants P 6i =G 6i ×EF AP6i ×(1-η APi ).

8. The atmospheric pollutant and carbon emission analysis method based on coordinated pollution reduction and carbon reduction according to claim 1 is characterized in that: In the comprehensive emission data per unit time corresponding to the emission subject determined based on the pre-acquired emission coefficient of each target emission substance according to the analyzed emission data, the emission coefficient of atmospheric pollutants is negatively correlated with the pollution equivalent value of the corresponding atmospheric pollutant, and the emission coefficient of carbon dioxide is positively correlated with the average carbon emission price corresponding to the analysis object, and negatively correlated with the unit pollution equivalent tax corresponding to the analysis object.

9. An atmospheric pollutant and carbon emission analysis system based on coordinated pollution reduction and carbon reduction, characterized in that: Apply the method according to any one of claims 1 to 8.

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