CN113487178A - Treatment method for enterprise atmospheric pollutant emission reduction grading evaluation - Google Patents
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Abstract
The disclosure provides a treatment method for enterprise atmospheric pollutant emission reduction grading evaluation, which comprises the following steps: acquiring at least one atmospheric pollutant in the exhaust gas discharged by the enterprise to be treated according to the type of the enterprise to be treated; acquiring data of the generation amount and the emission amount of each atmospheric pollutant in the exhaust gas of the enterprise to be treated from a data storage device; determining the removal efficiency corresponding to each atmospheric pollutant according to the data of the generation amount and the emission amount of each atmospheric pollutant; determining the score value of the emission reduction capability of the enterprise to be processed according to the removal efficiency corresponding to each atmospheric pollutant; determining the grade of the comprehensive emission reduction capability of the enterprise to be processed according to the score value of the emission reduction capability of the enterprise to be processed; and outputting an atmospheric pollutant treatment strategy matched with the enterprise to be treated according to the grade of the comprehensive emission reduction capability of the enterprise to be treated.
Description
Technical Field
The disclosure relates to the technical field of environmental management, in particular to a treatment method for enterprise atmospheric pollutant emission reduction grading evaluation.
Background
Industrial waste gas discharged by various production enterprises is an important source of atmospheric pollutants, and attention is paid to emission reduction work of the atmospheric pollutants of the enterprises at present.
In the related technology, the data processing method for atmospheric pollution of different types of enterprises generally adopts single total amount control and concentration control, but for different types of enterprises, the types and the yields of atmospheric pollutants are different, the emission reduction capability of the enterprises cannot be accurately evaluated by adopting the single total amount control and the concentration control, and the exhaust gas treatment conditions of the enterprises cannot be objectively analyzed, so that the method is not beneficial to the exhaust gas treatment of the enterprises and influences the improvement of the atmospheric environment.
Disclosure of Invention
Technical problem to be solved
In view of the above technical problems, the present disclosure provides a processing method for enterprise atmospheric pollutant emission reduction grading evaluation, which is intended to at least partially solve at least one of the above technical problems.
(II) technical scheme
In order to solve the technical problem, the present disclosure provides a processing method for enterprise atmospheric pollutant emission reduction grading evaluation, which includes:
acquiring at least one atmospheric pollutant in the exhaust gas discharged by the enterprise to be treated according to the type of the enterprise to be treated;
acquiring data of the generation amount and the emission amount of each atmospheric pollutant in the exhaust gas of the enterprise to be treated from a data storage device;
determining the removal efficiency corresponding to each atmospheric pollutant according to the data of the generation amount and the emission amount of each atmospheric pollutant;
determining the score value of the emission reduction capability of the enterprise to be processed according to the removal efficiency corresponding to each atmospheric pollutant;
determining the grade of the comprehensive emission reduction capability of the enterprise to be processed according to the score value of the emission reduction capability of the enterprise to be processed; and
and outputting an atmospheric pollutant treatment strategy matched with the enterprise to be treated according to the grade of the comprehensive emission reduction capability of the enterprise to be treated.
According to the embodiment of the present disclosure, the calculation method of the removal efficiency of each of the atmospheric pollutants includes:
wherein the content of the first and second substances,
i is the type of atmospheric pollutant;
ηithe removal efficiency of the i-th atmospheric pollutants is calculated, and the unit is;
Pithe yield of the i-type atmospheric pollutants is ton;
Dithe unit is the discharge amount of the i-th type atmospheric pollutants, and the unit is ton.
According to an embodiment of the disclosure, the determining a score value of the emission reduction capability of the enterprise to be processed according to the removal efficiency corresponding to each atmospheric pollutant includes:
determining a score value of each atmospheric pollutant according to the removal efficiency corresponding to each atmospheric pollutant;
and determining the score value of the emission reduction capability of the enterprise to be processed according to the score value of each atmospheric pollutant.
According to an embodiment of the present disclosure, the determining a score value of each atmospheric pollutant according to the removal efficiency corresponding to each atmospheric pollutant includes:
acquiring atmospheric pollution general survey data of enterprises of which the types are the same as those of the enterprises to be processed;
determining a removal efficiency value set corresponding to each atmospheric pollutant according to the atmospheric pollution census data;
grading the removal efficiency value set corresponding to each atmospheric pollutant to obtain an evaluation grade corresponding to each atmospheric pollutant;
and determining the score value of each atmospheric pollutant according to the corresponding evaluation grade of each atmospheric pollutant.
According to an embodiment of the present disclosure, the performing level division on the removal efficiency value set corresponding to each of the atmospheric pollutants to obtain an evaluation level corresponding to each of the atmospheric pollutants includes:
determining a quartile of the set of removal efficiency values corresponding to each of the atmospheric pollutants;
and taking the quartile as a grading node, and grading the removal efficiency value set corresponding to each atmospheric pollutant to obtain an evaluation grade corresponding to each atmospheric pollutant.
According to an embodiment of the present disclosure, the determining, according to the atmospheric pollution census data, a removal efficiency value set corresponding to each of the atmospheric pollutants includes:
and in the process of determining the removal efficiency value set corresponding to each type of the atmospheric pollutants, eliminating enterprises with removal efficiency values of 0.
According to an embodiment of the disclosure, the determining the score value of the emission reduction capability of the enterprise to be processed according to the score value of each atmospheric pollutant comprises:
and summing the score values of each atmospheric pollutant to obtain the score value of the emission reduction capability of the enterprise to be processed.
According to an embodiment of the present disclosure, the atmospheric pollutants include one or more of: nitrogen oxides, sulfur dioxide, volatile organics, and particulate matter.
According to an embodiment of the present disclosure, the type of the to-be-treated enterprise includes a petrochemical industry enterprise or a non-metal mineral product industry enterprise.
According to the embodiment of the disclosure, the emission reduction capability grades of the enterprise to be processed comprise an excellent grade, a good grade, a passing grade and a poor grade;
outputting an atmospheric pollutant treatment strategy matched with the to-be-treated enterprise according to the grade of the comprehensive emission reduction capability of the to-be-treated enterprise, wherein the atmospheric pollutant treatment strategy comprises the following steps:
under the condition that the grade of the comprehensive emission reduction capability of the enterprise to be treated is the excellent grade, outputting a first treatment strategy, wherein the first treatment strategy comprises maintaining the waste gas treatment mode of the enterprise to be treated;
under the condition that the grade of the comprehensive emission reduction capability of the enterprise to be treated is the good grade, outputting a second treatment strategy, wherein the second treatment strategy comprises enhancing treatment on a first target atmospheric pollutant by adopting a first preset mode;
under the condition that the grade of the comprehensive emission reduction capability of the enterprise to be treated is the passing grade, outputting a third treatment strategy, wherein the third treatment strategy comprises enhancing treatment on a second target atmospheric pollutant by adopting a second preset mode;
and outputting a fourth treatment strategy under the condition that the grade of the comprehensive emission reduction capability of the enterprise to be treated is the poor grade, wherein the fourth treatment strategy comprises the step of enhancing the treatment of all the atmospheric pollutants by adopting a third preset mode.
(III) advantageous effects
According to the technical scheme, at least one atmospheric pollutant in the exhaust gas of the enterprise to be treated is obtained according to the type of the enterprise to be treated; then, acquiring data of the generation amount and the emission amount of each atmospheric pollutant in the exhaust gas of the enterprise to be treated from a data storage device, and determining the removal efficiency according to the generation amount and the emission amount of each atmospheric pollutant; and then, determining the emission reduction capability score of the enterprise to be processed according to the removal efficiency of each atmospheric pollutant, further determining the comprehensive emission reduction capability grade of the enterprise to be processed, and obtaining the processing strategy of the atmospheric pollutants of the enterprise to be processed. According to the atmospheric pollutant treatment method, grading evaluation is carried out according to the removal efficiency of each atmospheric pollutant, the treatment effect of the waste gas of an enterprise to be treated can be measured better, and the method is simple and easy to understand and is simple and convenient to calculate. In addition, the method disclosed by the invention is used for evaluating the same type of enterprises, has stronger pertinence and more objective and reliable evaluation results, and is beneficial to the enterprises to have more pertinence in the process of treating the atmospheric pollutants, thereby being beneficial to improving the atmospheric environment. In addition, the method is executed by the electronic equipment, so that the automatic processing of the atmospheric pollution data of the enterprise is realized, the processing strategy is output, the labor is saved, the computing power of the electronic equipment is fully utilized, the efficiency is improved, and the resources are saved.
Drawings
Fig. 1 is a flowchart of a processing method for enterprise atmospheric pollutant emission reduction grading evaluation provided in an embodiment of the present disclosure.
Detailed Description
Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. It should be understood that the description is illustrative only and is not intended to limit the scope of the present disclosure. In the following detailed description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the disclosure. It may be evident, however, that one or more embodiments may be practiced without these specific details. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present disclosure.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. The terms "comprises," "comprising," and the like, as used herein, specify the presence of stated features, steps, operations, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, or components.
All terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art unless otherwise defined. It is noted that the terms used herein should be interpreted as having a meaning that is consistent with the context of this specification and should not be interpreted in an idealized or overly formal sense.
Where a convention analogous to "at least one of A, B and C, etc." is used, in general such a construction is intended in the sense one having skill in the art would understand the convention (e.g., "a system having at least one of A, B and C" would include but not be limited to systems that have a alone, B alone, C alone, a and B together, a and C together, B and C together, and/or A, B, C together, etc.). Where a convention analogous to "A, B or at least one of C, etc." is used, in general such a construction is intended in the sense one having skill in the art would understand the convention (e.g., "a system having at least one of A, B or C" would include but not be limited to systems that have a alone, B alone, C alone, a and B together, a and C together, B and C together, and/or A, B, C together, etc.).
According to an embodiment of the disclosure, a processing method for enterprise atmospheric pollutant emission reduction grading evaluation is provided, which includes:
acquiring at least one atmospheric pollutant in the exhaust gas discharged by the enterprise to be treated according to the type of the enterprise to be treated;
acquiring data of the generation amount and the emission amount of each atmospheric pollutant in the exhaust gas of the enterprise to be treated from the data storage equipment;
determining the removal efficiency corresponding to each atmospheric pollutant according to the data of the generation amount and the emission amount of each atmospheric pollutant;
determining the score value of the emission reduction capability of the enterprise to be processed according to the removal efficiency corresponding to each atmospheric pollutant;
determining the grade of the comprehensive emission reduction capability of the enterprise to be processed according to the score value of the emission reduction capability of the enterprise to be processed; and
and outputting an atmospheric pollutant treatment strategy matched with the enterprise to be treated according to the grade of the comprehensive emission reduction capability of the enterprise to be treated.
According to the technical scheme, at least one atmospheric pollutant in the exhaust gas of the enterprise to be treated is obtained according to the type of the enterprise to be treated; then, acquiring data of the generation amount and the emission amount of each atmospheric pollutant in the exhaust gas of the enterprise to be treated from the data storage device, and determining the removal efficiency according to the generation amount and the emission amount of each atmospheric pollutant; and then, determining the emission reduction capability score of the enterprise to be processed according to the removal efficiency of each atmospheric pollutant, further determining the comprehensive emission reduction capability grade of the enterprise to be processed, and obtaining the processing strategy of the atmospheric pollutants of the enterprise to be processed. According to the atmospheric pollutant treatment method, grading evaluation is carried out according to the removal efficiency of each atmospheric pollutant, the treatment effect of the waste gas of an enterprise to be treated can be measured better, and the method is simple and easy to understand and is simple and convenient to calculate. In addition, the method disclosed by the invention is used for evaluating the same type of enterprises, has stronger pertinence and more objective and reliable evaluation results, and is beneficial to the enterprises to have more pertinence in the process of treating the atmospheric pollutants, thereby being beneficial to improving the atmospheric environment. In addition, the method is executed by the electronic equipment, so that the automatic processing of the atmospheric pollution data of the enterprise is realized, the processing strategy is output, the labor is saved, the computing power of the electronic equipment is fully utilized, the efficiency is improved, and the resources are saved.
Fig. 1 schematically illustrates a flow chart of a processing method for enterprise atmospheric pollutant emission reduction rating evaluation according to an embodiment of the disclosure.
Referring to fig. 1, a processing method for enterprise atmospheric pollutant emission reduction grading evaluation according to an embodiment of the disclosure includes operations S101 to S106.
In operation S101, at least one atmospheric pollutant in exhaust gas discharged by the enterprise to be treated is obtained according to the type of the enterprise to be treated.
According to the embodiment of the disclosure, for example, the atmospheric pollutant species input by the user on the electronic device can be acquired.
According to an embodiment of the present disclosure, for another example, the kind of the atmospheric pollutant stored in advance may be acquired from other electronic devices.
According to the embodiment of the disclosure, the electronic device can be in communication connection with other electronic devices, and the communication mode is not limited.
According to the embodiment of the disclosure, the electronic device and other electronic devices can perform data interaction.
According to embodiments of the present disclosure, an electronic device may include, for example, a notebook, a cell phone only, a desktop, and so forth.
According to an embodiment of the present disclosure, the type of enterprise to be processed may be a petrochemical industry enterprise or a non-metal mineral industry enterprise.
According to the embodiment of the disclosure, the atmospheric pollutants in the exhaust gas discharged by the enterprise to be treated comprise one or more of the following: nitrogen oxides, sulfur dioxide, volatile organics, and particulate matter.
According to embodiments of the present disclosure, for example, the type of enterprise to be treated is an enterprise of the non-metallic mineral product industry, and the main atmospheric pollutants of this type of enterprise are nitrogen oxides, sulfur dioxide, particulate matter.
In operation S102, data of the generation amount and the emission amount of each atmospheric pollutant in the exhaust gas of the enterprise to be processed is obtained from the data storage device.
According to embodiments of the present disclosure, the data storage device may include, for example, a notebook, a cell phone only, a desktop, and so forth.
In operation S103, a removal efficiency corresponding to each atmospheric pollutant is determined according to the data of the generation amount and the emission amount of each atmospheric pollutant.
According to an embodiment of the present disclosure, the method of calculating the removal efficiency of each atmospheric pollutant includes:
wherein the content of the first and second substances,
i is the type of atmospheric pollutant;
ηithe removal efficiency of the i-th atmospheric pollutants is calculated, and the unit is;
Pithe yield of the i-type atmospheric pollutants is ton;
Dithe unit is the discharge amount of the i-th type atmospheric pollutants, and the unit is ton.
In operation S104, a score value of the emission reduction capability of the enterprise to be processed is determined according to the removal efficiency corresponding to each atmospheric pollutant.
According to the embodiment of the disclosure, the score value of each atmospheric pollutant is determined according to the removal efficiency corresponding to each atmospheric pollutant; and determining the score value of the emission reduction capability of the enterprise to be processed according to the score value of each atmospheric pollutant.
According to the embodiment of the disclosure, acquiring the atmospheric pollution census data of the enterprise with the same type as the enterprise to be processed; determining a removal efficiency value set corresponding to each atmospheric pollutant according to atmospheric pollution census data; grading the removal efficiency value set corresponding to each atmospheric pollutant to obtain an evaluation grade corresponding to each atmospheric pollutant; and determining the score value of each atmospheric pollutant according to the corresponding evaluation grade of each atmospheric pollutant.
The air pollution general survey data is used as a grading standard, is accurate and comprehensive, can carry out objective analysis on the treatment condition of the air pollutants of the same type of enterprises, is beneficial to supervising the waste gas treatment of the enterprises, and improves the atmospheric environment.
According to the embodiment of the disclosure, according to the atmospheric pollution census data, a removal efficiency value set corresponding to each atmospheric pollutant is determined, and the removal efficiency value set comprises the removal efficiency corresponding to the atmospheric pollutant of each enterprise in the same type of enterprise.
According to the embodiment of the disclosure, in the process of determining the removal efficiency value set corresponding to each atmospheric pollutant, the enterprises with the removal efficiency value of 0 are rejected.
According to an embodiment of the present disclosure, determining a quartile of a set of removal efficiency values corresponding to each atmospheric pollutant; and taking the quartile as a grading node, and grading the removal efficiency value set corresponding to each atmospheric pollutant to obtain an evaluation grade corresponding to each atmospheric pollutant.
According to an embodiment of the present disclosure, the quartile of the removal efficiency value set corresponding to each atmospheric pollutant is obtained by data analysis of SPSS analysis software, which is a minimum value, a 25% quantile, a 50% quantile, a 75% quantile, and a maximum value, respectively.
According to the embodiment of the disclosure, the minimum value, the 25% quantile, the 50% quantile, the 75% quantile and the maximum value are used as dividing nodes, and the removing efficiency value set corresponding to each atmospheric pollutant is graded.
According to the embodiment of the disclosure, the removal efficiency value set corresponding to each atmospheric pollutant is divided into four grades, each grade is assigned with a score correspondingly, the highest score is 100, the lowest score is 25, the higher the pollutant removal efficiency is, the higher the score is, and the lower the removal efficiency is, the lower the score is.
According to the embodiment of the disclosure, the score values of each atmospheric pollutant are summed to obtain the score value of the emission reduction capability of the enterprise to be processed.
According to the embodiment of the disclosure, for example, the atmospheric pollutants include sulfur dioxide, nitrogen oxides and particulate matters, and the calculation formula of the score value G of the emission reduction capability of the enterprise to be treated comprises:
G=Gs+GN+GP(II)
In the formula:
g is the score value of the atmospheric pollution emission reduction capability of the enterprise to be treated;
Gsis sulfur dioxide (SO) of enterprises to be treated2) The score value of (a);
GNfor Nitrogen Oxides (NO) of enterprises to be treatedx) The score value of (a);
GPthe score value of the Particulate Matter (PM) of the enterprise to be treated is obtained.
In operation S105, a grade of the comprehensive emission reduction capability of the enterprise to be processed is determined according to the score value of the emission reduction capability of the enterprise to be processed.
According to embodiments of the present disclosure, for example, the atmospheric pollutants include three pollutants, sulfur dioxide, nitrogen oxides, and particulate matter. The score value of the comprehensive emission reduction capability of the enterprise to be processed is 75 at the minimum and 300 at the maximum. Correspondingly, the grades of the comprehensive emission reduction capability of the enterprises to be treated are poor, qualified, good and excellent; wherein the relatively poor corresponding score value range of the comprehensive emission reduction capability of the to-be-processed enterprise is 75-125, the passing corresponding score value range of the comprehensive emission reduction capability of the to-be-processed enterprise is 125-.
In operation S106, an atmospheric pollutant treatment strategy matched with the enterprise to be treated is output according to the grade of the comprehensive emission reduction capability of the enterprise to be treated.
According to the embodiment of the disclosure, the emission reduction capability grades of the enterprises to be processed comprise excellent grades, good grades, passing grades and poor grades.
According to the embodiment of the disclosure, the atmospheric pollutant treatment strategy matched with the enterprise to be treated is output according to the grade of the comprehensive emission reduction capability of the enterprise to be treated, and the method comprises the following steps:
under the condition that the grade of the comprehensive emission reduction capability of the enterprise to be treated is an excellent grade, outputting a first treatment strategy, wherein the first treatment strategy comprises maintaining the waste gas treatment mode of the enterprise to be treated;
under the condition that the grade of the comprehensive emission reduction capability of the enterprise to be treated is a good grade, outputting a second treatment strategy, wherein the second treatment strategy comprises enhancing treatment on the first target atmospheric pollutants by adopting a first preset mode;
under the condition that the grade of the comprehensive emission reduction capability of the enterprise to be treated is a passing grade, outputting a third treatment strategy, wherein the third treatment strategy comprises enhancing treatment on a second target atmospheric pollutant by adopting a second preset mode;
and outputting a fourth treatment strategy under the condition that the grade of the comprehensive emission reduction capability of the enterprise to be treated is a poor grade, wherein the fourth treatment strategy comprises the step of enhancing the treatment of all atmospheric pollutants by adopting a third preset mode. .
According to an embodiment of the present disclosure, for example, the first preset manner may be one or more of a spraying process, an adsorption process, a catalytic reduction process, and a membrane separation process.
According to an embodiment of the present disclosure, for example, the second preset manner may be one or more of a spraying process, an adsorption process, a catalytic reduction process, and a membrane separation process.
According to an embodiment of the present disclosure, for example, the third preset manner may be one or more of a spraying process, an adsorption process, a catalytic reduction process, and a membrane separation process.
According to embodiments of the present disclosure, for example, the first target atmospheric pollutant may be one or more of nitrogen oxides, sulfur dioxide, volatile organics, and particulate matter. The first target atmospheric pollutants may be the next M of all atmospheric pollutants. M is an integer greater than or equal to 1.
According to embodiments of the present disclosure, the second target atmospheric pollutant may be one or more of nitrogen oxides, sulfur dioxide, volatile organics, and particulate matter, for example. The second target atmospheric pollutants may be the next N of all atmospheric pollutants. N is an integer greater than or equal to 1.
In order to better understand the technical solutions provided by the embodiments of the present disclosure, the following description is made according to specific embodiments.
This embodiment is exemplified by enterprise a in the non-metallic mineral product production industry.
The non-metallic mineral product industry refers to the industry that manufactures products from non-metallic minerals, including the manufacture of cement, lime and gypsum; manufacturing cement and gypsum products; manufacturing bricks and tiles, stones and other building materials; glass and glass article manufacturing; manufacturing a ceramic product; manufacturing a refractory material product; graphite and other non-metallic mineral products. According to the general survey data of industrial source atmospheric pollution, the production and supply industry of non-metallic mineral products is the most main pollution factor of sulfur dioxide, nitrogen oxide and particulate matters, so that the atmospheric pollutants are nitrogen oxide, sulfur dioxide and particulate matters.
The production and emission of nitrogen oxides, sulfur dioxide and particulate matter, which are atmospheric pollutants, from company a are shown schematically in table 1.
TABLE 1
Name of contaminant | Nitrogen oxides | Sulfur dioxide | Particulate matter |
Production (ton/year) | 50 | 30 | 20 |
Emission (ton/year) | 12.4 | 3.5 | 1.3 |
The specific processing method comprises the following steps:
(1) the atmospheric pollutants of the A enterprise are nitrogen oxides, sulfur dioxide and particulate matters.
(2) And acquiring data of the generation amount and the emission amount of nitrogen oxides, sulfur dioxide and particulate matters from the data storage device, wherein the specific data are shown in table 1.
(3) The removal efficiencies of nitrogen oxides, sulfur dioxide and particulate matter were determined to be 75.20%, 88.33% and 93.50%, respectively.
(4) The method comprises the steps of obtaining atmospheric pollution general survey data of the non-metallic mineral product production industry, and calculating the removal efficiency of nitrogen oxides, sulfur dioxide and particulate matters of each enterprise respectively, so as to obtain removal efficiency value sets corresponding to the nitrogen oxides, the sulfur dioxide and the particulate matters respectively. And then, grading each removal efficiency value set to respectively obtain an evaluation grade table of the nitrogen oxides, the sulfur dioxide and the particulate matters, wherein the grading result is shown in tables 2-4.
Table 2 schematically shows the corresponding rating table for nitrogen oxides.
TABLE 2
Table 3 schematically shows a table of evaluation grades corresponding to sulfur dioxide.
TABLE 3
Table 4 schematically shows the corresponding evaluation grade table of the particulate matter.
TABLE 4
(5) And (3) corresponding the removal efficiency of the nitrogen oxide, the sulfur dioxide and the particulate matters to corresponding evaluation grade tables, and respectively obtaining the values of the nitrogen oxide, the sulfur dioxide and the particulate matters as 100, 100 and 75.
(6) And adding the score values of the nitrogen oxide, the sulfur dioxide and the particulate matters to obtain a score value of 275 of the emission reduction capability of the enterprise A.
(7) And (4) corresponding the emission reduction capability score value of the enterprise A to an enterprise comprehensive emission reduction capability grade table to obtain the excellent grade of the enterprise A.
Table 5 schematically shows a comprehensive emission reduction capability grade table of the enterprise.
TABLE 5
To sum up, the enterprise A belongs to excellent grades, the whole effect of exhaust emission reduction of the enterprise is better, and the existing exhaust gas treatment mode is kept. In order to better improve the waste gas treatment effect, the A enterprise can also choose to strengthen the spraying treatment to the particulate matter.
The embodiments of the present disclosure have been described above. However, these examples are for illustrative purposes only and are not intended to limit the scope of the present disclosure. Although the embodiments are described separately above, this does not mean that the measures in the embodiments cannot be used in advantageous combination. The scope of the disclosure is defined by the appended claims and equivalents thereof. Various alternatives and modifications can be devised by those skilled in the art without departing from the scope of the present disclosure, and such alternatives and modifications are intended to be within the scope of the present disclosure.
Claims (10)
1. A processing method for enterprise atmospheric pollutant emission reduction grading evaluation comprises the following steps:
acquiring at least one atmospheric pollutant in the exhaust gas discharged by the enterprise to be treated according to the type of the enterprise to be treated;
acquiring data of the generation amount and the emission amount of each atmospheric pollutant in the exhaust gas of the enterprise to be treated from a data storage device;
determining the removal efficiency corresponding to each atmospheric pollutant according to the data of the generation amount and the emission amount of each atmospheric pollutant;
determining the score value of the emission reduction capability of the enterprise to be processed according to the removal efficiency corresponding to each atmospheric pollutant;
determining the grade of the comprehensive emission reduction capability of the enterprise to be processed according to the score value of the emission reduction capability of the enterprise to be processed; and
and outputting an atmospheric pollutant treatment strategy matched with the enterprise to be treated according to the grade of the comprehensive emission reduction capability of the enterprise to be treated.
2. The processing method for enterprise atmospheric pollutant emission reduction grading evaluation according to claim 1,
each calculation method for the removal efficiency of the atmospheric pollutants comprises the following steps:
wherein the content of the first and second substances,
i is the type of atmospheric pollutant;
ηithe removal efficiency of the i-th atmospheric pollutants is calculated, and the unit is;
Pithe yield of the i-type atmospheric pollutants is ton;
Dithe unit is the discharge amount of the i-th type atmospheric pollutants, and the unit is ton.
3. The processing method for enterprise atmospheric pollutant emission reduction grading evaluation according to claim 1,
determining a score value of the emission reduction capability of the enterprise to be processed according to the removal efficiency corresponding to each atmospheric pollutant, comprising:
determining a score value of each atmospheric pollutant according to the removal efficiency corresponding to each atmospheric pollutant;
and determining the score value of the emission reduction capability of the enterprise to be processed according to the score value of each atmospheric pollutant.
4. The processing method for enterprise atmospheric pollutant emission reduction grading evaluation according to claim 3,
determining a score value of each atmospheric pollutant according to the removal efficiency corresponding to each atmospheric pollutant, comprising:
acquiring atmospheric pollution general survey data of enterprises of which the types are the same as those of the enterprises to be processed;
determining a removal efficiency value set corresponding to each atmospheric pollutant according to the atmospheric pollution census data;
grading the removal efficiency value set corresponding to each atmospheric pollutant to obtain an evaluation grade corresponding to each atmospheric pollutant;
and determining the score value of each atmospheric pollutant according to the corresponding evaluation grade of each atmospheric pollutant.
5. The processing method for enterprise atmospheric pollutant emission reduction grading evaluation according to claim 4,
the grading the removal efficiency value set corresponding to each kind of the atmospheric pollutants to obtain an evaluation grade corresponding to each kind of the atmospheric pollutants includes:
determining a quartile of the set of removal efficiency values corresponding to each of the atmospheric pollutants;
and taking the quartile as a grading node, and grading the removal efficiency value set corresponding to each atmospheric pollutant to obtain an evaluation grade corresponding to each atmospheric pollutant.
6. The processing method for enterprise atmospheric pollutant emission reduction grading evaluation according to claim 4,
determining a removal efficiency value set corresponding to each atmospheric pollutant according to the atmospheric pollution census data, comprising:
and in the process of determining the removal efficiency value set corresponding to each type of the atmospheric pollutants, eliminating enterprises with removal efficiency values of 0.
7. The processing method for enterprise atmospheric pollutant emission reduction grading evaluation according to claim 3,
the determining the score value of the emission reduction capability of the enterprise to be processed according to the score value of each atmospheric pollutant comprises the following steps:
and summing the score values of each atmospheric pollutant to obtain the score value of the emission reduction capability of the enterprise to be processed.
8. The processing method for enterprise atmospheric pollutant emission reduction grading evaluation according to claim 1,
the atmospheric pollutants include one or more of: nitrogen oxides, sulfur dioxide, volatile organics, and particulate matter.
9. The processing method for enterprise atmospheric pollutant emission reduction grading evaluation according to claim 1,
the type of the enterprises to be treated includes enterprises of petrochemical industry or enterprises of non-metallic mineral product industry.
10. The processing method for enterprise atmospheric pollutant emission reduction grading evaluation according to claim 1, wherein the enterprise emission reduction capability grades to be processed comprise excellent grade, good grade, passing grade and poor grade;
outputting an atmospheric pollutant treatment strategy matched with the to-be-treated enterprise according to the grade of the comprehensive emission reduction capability of the to-be-treated enterprise, wherein the atmospheric pollutant treatment strategy comprises the following steps:
under the condition that the grade of the comprehensive emission reduction capability of the enterprise to be treated is the excellent grade, outputting a first treatment strategy, wherein the first treatment strategy comprises maintaining the waste gas treatment mode of the enterprise to be treated;
under the condition that the grade of the comprehensive emission reduction capability of the enterprise to be treated is the good grade, outputting a second treatment strategy, wherein the second treatment strategy comprises enhancing treatment on a first target atmospheric pollutant by adopting a first preset mode;
under the condition that the grade of the comprehensive emission reduction capability of the enterprise to be treated is the passing grade, outputting a third treatment strategy, wherein the third treatment strategy comprises enhancing treatment on a second target atmospheric pollutant by adopting a second preset mode;
and outputting a fourth treatment strategy under the condition that the grade of the comprehensive emission reduction capability of the enterprise to be treated is the poor grade, wherein the fourth treatment strategy comprises the step of enhancing the treatment of all the atmospheric pollutants by adopting a third preset mode.
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114240263A (en) * | 2022-02-24 | 2022-03-25 | 天津天融环境科技发展有限公司 | Hierarchical management method and device, electronic equipment and storage medium |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102521714A (en) * | 2011-12-29 | 2012-06-27 | 国网信息通信有限公司 | Method and device for constructing KPI (key performance indicator) hierarchical model and energy consumption assessing method and system |
CN110222377A (en) * | 2019-05-14 | 2019-09-10 | 国网浙江电动汽车服务有限公司 | A kind of electric vehicle atmosphere pollution emission reduction evaluation method |
CN111680845A (en) * | 2020-06-15 | 2020-09-18 | 生态环境部南京环境科学研究所 | Water pollution discharge and water environment management system |
CN111727447A (en) * | 2019-08-14 | 2020-09-29 | 柯灵爱尔(北京)环境技术中心 | Method for selecting pollutant treatment measures |
CN112328854A (en) * | 2020-09-04 | 2021-02-05 | 天津大学 | Life cycle analysis-based evaluation method for waste gas emission reduction environmental impact of iron and steel enterprise |
CN112561299A (en) * | 2020-12-10 | 2021-03-26 | 国网浙江宁海县供电有限公司 | Accurate figure system is stored up in energy source lotus of garden |
-
2021
- 2021-07-02 CN CN202110754892.4A patent/CN113487178A/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102521714A (en) * | 2011-12-29 | 2012-06-27 | 国网信息通信有限公司 | Method and device for constructing KPI (key performance indicator) hierarchical model and energy consumption assessing method and system |
CN110222377A (en) * | 2019-05-14 | 2019-09-10 | 国网浙江电动汽车服务有限公司 | A kind of electric vehicle atmosphere pollution emission reduction evaluation method |
CN111727447A (en) * | 2019-08-14 | 2020-09-29 | 柯灵爱尔(北京)环境技术中心 | Method for selecting pollutant treatment measures |
CN111680845A (en) * | 2020-06-15 | 2020-09-18 | 生态环境部南京环境科学研究所 | Water pollution discharge and water environment management system |
CN112328854A (en) * | 2020-09-04 | 2021-02-05 | 天津大学 | Life cycle analysis-based evaluation method for waste gas emission reduction environmental impact of iron and steel enterprise |
CN112561299A (en) * | 2020-12-10 | 2021-03-26 | 国网浙江宁海县供电有限公司 | Accurate figure system is stored up in energy source lotus of garden |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114240263A (en) * | 2022-02-24 | 2022-03-25 | 天津天融环境科技发展有限公司 | Hierarchical management method and device, electronic equipment and storage medium |
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