CN111461483A - Evaluation method for VOCs treatment facility in automobile manufacturing industry - Google Patents

Evaluation method for VOCs treatment facility in automobile manufacturing industry Download PDF

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CN111461483A
CN111461483A CN202010123721.7A CN202010123721A CN111461483A CN 111461483 A CN111461483 A CN 111461483A CN 202010123721 A CN202010123721 A CN 202010123721A CN 111461483 A CN111461483 A CN 111461483A
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张鹏
王超前
任家宝
王雷
刘雪峰
刘伟
崔晨
朱振宇
邢涛
任重磊
童丽萍
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China Automotive Technology and Research Center Co Ltd
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Abstract

The invention provides a VOCs treatment facility evaluation method in the automobile manufacturing industry, which comprises the following steps: step 1: screening alternative treatment facilities based on the VOCs emission characteristics and the treatment facility characteristics in the automobile manufacturing industry; step 2: selecting an evaluation index of the treatment facility to establish an evaluation system, and determining an index parameter value of each treatment facility; and step 3: evaluating the weight of each level of index based on the importance analysis of different evaluation indexes, and carrying out normalization processing; and 4, step 4: classifying and calculating the scores of the treatment facilities under the quantitative index and the qualitative index according to the index parameters of different VOCs treatment facilities; and 5: and comprehensively analyzing the index weight and the index scores of all the treatment facilities by using a linear weighted sum method, calculating the final judgment value of the treatment facilities, and sequencing all the treatment facilities to obtain an evaluation result. The evaluation method provided by the invention can accurately and efficiently screen VOCs treatment facilities in the automobile manufacturing industry.

Description

Evaluation method for VOCs treatment facility in automobile manufacturing industry
Technical Field
The invention belongs to the field of pollution treatment, and particularly relates to an evaluation method for VOCs treatment facilities in the automobile manufacturing industry.
Background
At present, VOCs terminal treatment facilities are various in types, most newly-built and expanded enterprises lack knowledge of emission components and characteristics of organic waste gas from different sources, technical selection lacks comprehensiveness and scientificity, and partial installed VOCs treatment facilities have the problems of high operating cost, poor effect, expectation and the like. Therefore, automobile manufacturing enterprises and supervision departments need to evaluate and compare VOCs treatment facilities to complete the selection of the treatment facilities and the selection of industrially feasible treatment facilities. The existing VOCs treatment facilities in the automobile manufacturing industry are mainly selected based on the consideration of economy or single treatment efficiency, and no mature comprehensive evaluation technical scheme is available for the VOCs tail end treatment facilities.
Disclosure of Invention
In view of the above, the invention aims to provide an evaluation method for VOCs treatment facilities in the automobile manufacturing industry, so as to solve the problems that in the prior art, VOCs treatment facilities in the automobile manufacturing industry are single and do not have comprehensive evaluation schemes.
In order to achieve the purpose, the technical scheme of the invention is realized as follows:
a VOCs treatment facility evaluation method in the automobile manufacturing industry comprises the following steps:
step 1: screening alternative treatment facilities based on the VOCs emission characteristics and the treatment facility characteristics in the automobile manufacturing industry;
step 2: selecting an evaluation index of the treatment facility to establish an evaluation system, and determining an index parameter value of each treatment facility;
and step 3: evaluating the weight of each level of index based on the importance analysis of different evaluation indexes, and carrying out normalization processing;
and 4, step 4: according to the index parameters of different VOCs treatment facilities, classifying and calculating the scores of the treatment facilities under the quantitative index and the qualitative index, and performing normalization treatment;
and 5: and comprehensively analyzing the index weight and the index scores of all the treatment facilities by using a linear weighted sum method, calculating the final judgment value of the treatment facilities, and sequencing all the treatment facilities to obtain an evaluation result.
Further, the index reflecting the advancement of VOCs treatment facilities in the automobile manufacturing industry is selected in the step 2 as a first-level evaluation index, and a treatment facility evaluation index system is established, wherein the first-level evaluation index at least comprises environmental protection, technology and economy;
the environmental protection index at least comprises one of the following two-level indexes: removing efficiency and secondary pollution;
the technical index at least comprises one of the following two-level indexes: maturity, stability, applicability, complexity, safety;
the economic index at least comprises one of the following two-level indexes: construction cost, operation cost and floor area.
Further, in the step 3, the weight of each level of index is determined by the judgment matrix, and the specific calculation steps are as follows:
step 3.1: comparing and assigning indexes of all levels by a 1-9 scale method, and constructing a judgment matrix;
step 3.2: carrying out consistency check on the constructed judgment matrix;
step 3.3: selecting the characteristic vector of the judgment matrix passing the consistency test as a middle weight value of the corresponding index;
step 3.4: and carrying out normalization processing on the weight values of all levels of indexes to obtain the final weight values of all levels of indexes.
Further, the step of checking the consistency in step 3.2 is as follows:
step 3.2.1: adding the judgment matrixes line by line to obtain a vector W (W1, W2T
Step 3.2.2: a vector W (W1, W2TThe feature vector is normalized as follows:
Figure BDA0002393780270000031
step 3.2.3: the maximum characteristic root is calculated as follows:
Figure BDA0002393780270000032
step 3.2.4: carrying out consistency check on the matrix according to the following formula;
CR=(λmax-n)×Ri/(n-1);
wherein B is a constructed judgment matrix, CRFor consistency check, n is the order of the matrix, RiIs an average random consistency index, if CRLess than 0.1, the matrix is consistent with the consistency test.
Further, in the step 4, the scores of the treatment facilities under the qualitative index and the quantitative index are determined according to the parameters of the treatment facilities, and the specific calculation steps are as follows:
step 4.1: comparing the treatment facilities under the single qualitative index by a 1-9 scale method and determining the intermediate score of the treatment facilities under the single qualitative index;
step 4.2: determining the intermediate scores of all the treatment facilities under each single quantitative index by a linear interpolation method;
step 4.3: and (4) carrying out normalization treatment on the intermediate scores of all the treatment facilities under each single index to obtain the final scores of all the treatment facilities under each single index.
Further, the step of determining the median score of all abatement facilities under each single quantitative index by linear interpolation in 4.2 is as follows:
step 4.2.1: assigning the treatment facility under the optimal index as the highest score, and assigning the treatment facility under the worst index as the lowest score;
step 4.2.2: and determining the intermediate score of the treatment facility under each index between the optimal index and the worst index by adopting a linear interpolation method.
Further, the final evaluation value of the abatement facility in step 5 is calculated by the following formula: gi=∑Pij×djWherein G isiIs the final evaluation value of the facility, PijThe score of each of the ith items under the jth evaluation index, djThe weight value of the j index.
Compared with the prior art, the evaluation method for VOCs treatment facilities in the automobile manufacturing industry has the following advantages:
(1) the evaluation index system of VOCs treatment facilities in the automobile manufacturing industry established by the evaluation method selects a plurality of evaluation indexes related to the treatment facilities, and makes up for the defects of single index or single type index;
(2) the evaluation method can evaluate the optimal VOCs treatment facilities suitable for different VOCs discharge links in the automobile manufacturing industry, is simple and feasible, can be applied to security ring managers of enterprises, and can also provide decision basis for comprehensive VOCs treatment in the automobile manufacturing industry.
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The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and, together with the description, serve to explain the invention without limitation. In the drawings:
FIG. 1 is a schematic flow chart of evaluation of VOCs abatement facility in the automobile manufacturing industry according to the present invention;
FIG. 2 is a schematic diagram of evaluation index system of VOCs treatment facilities in automobile manufacturing industry according to the embodiment of the present invention.
Detailed Description
It should be noted that the embodiments and features of the embodiments of the present invention may be combined with each other without conflict.
In the description of the present invention, it is to be understood that the terms "central," "longitudinal," "lateral," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," and the like are used in the orientation or positional relationship indicated in the drawings, which are merely for convenience in describing the invention and to simplify the description, and are not intended to indicate or imply that the referenced device or element must have a particular orientation, be constructed and operated in a particular orientation, and are therefore not to be construed as limiting the invention. Furthermore, the terms "first", "second", etc. are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first," "second," etc. may explicitly or implicitly include one or more of that feature. In the description of the invention, the meaning of "a plurality" is two or more unless otherwise specified.
In the description of the invention, it is to be noted that, unless otherwise explicitly specified or limited, the terms "mounted", "connected" and "connected" are to be construed broadly, e.g. as being fixed or detachable or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meaning of the above terms in the creation of the present invention can be understood by those of ordinary skill in the art through specific situations.
The invention will be described in detail with reference to the following embodiments with reference to the attached drawings.
Example 1 screening paint spraying section waste gas VOCs treatment facility
Step one, screening alternative facilities based on VOCs emission characteristics and treatment facility characteristics in the automobile manufacturing industry:
screening and eliminating alternative VOCs treatment facilities by combining the characteristics of large air volume and low-concentration pollution discharge of VOCs waste gas generated in a spraying process in automobile manufacturing, wherein after the alternative VOCs treatment facilities are eliminated, the VOCs treatment facilities suitable for the spraying process all belong TO adsorption concentration and thermal combustion type devices, and comprise combustion equipment of VOCs such as an active carbon concentration and direct combustion device (TO), an active carbon concentration and catalytic combustion device (CO), an active carbon concentration and regenerative combustion device (RTO), an active carbon concentration and regenerative catalytic device (RCO), a rotating wheel concentration and regenerative combustion device (RTO), a rotating wheel concentration and regenerative catalytic device (RCO) and the like;
secondly, selecting treatment facility evaluation indexes to establish an evaluation system, and determining index parameter values of each VOCs treatment facility:
according to a decision target and a VOCs treatment facility evaluation index system consisting of primary and secondary indexes of the VOCs treatment facility, constructing an AHP analysis hierarchical structure model comprising a decision target layer, a primary index layer, a secondary index layer and an alternative technical layer, wherein the analysis hierarchical model and the constructed index system are shown in figure 2;
thirdly, evaluating the weight of each level of index based on the importance analysis of different evaluation indexes, and normalizing:
and constructing pairwise judgment matrixes for the first-level index layers (B1, B2 and B3), the second-level index layers (B11, B12, B13, B14, B15, B21, B22, B23, B31 and B32) and the scheme layers (S1, S2, S3, S4, S5 and S6) according to the evaluation result of the index weight, performing consistency check after the judgment matrix construction is finished, and calculating the weight of each layer element relative to a decision target.
Taking the first-level index weight judgment matrix R1 as an example, comparing and assigning indexes of all levels by a 1-9 scale method, wherein the construction process comprises the following steps:
TABLE 1 first-level index decision matrix
Environment protection/A1 technique/A2 Economy/A3
Environment protection/A1 a11 a12 a13
technique/A2 a21 a22 a23
Economy/A3 a31 a32 a33
In Table 1, AiAnd AjThe i and j indexes are respectively, aijThe importance of the i index relative to the j index,
Figure BDA0002393780270000061
for example ifIndex AiAnd AjOf equal importance, then aij=1;
If the index A isiRatio AjOf slight importance, then aij=3;
If the index A isiRatio AjIs more important, then aij=5;
If the index A isiRatio AjOf great importance, then aij=7;
If the index A isiRatio AjOf absolute importance, then aij=9;
If the index A isiRatio AjImportance between said cases, then aijThe value can be 2,4,6, 8;
the constructed primary index weight judgment matrix R1 is:
Figure BDA0002393780270000071
calculated R1 maximum feature root λmax3.0658, wherein the eigenvector W is (0.1932,0.0833,0.7235), three components of which are weight values of three elements B1, B2, B3 in the first-level index layer B relative to a decision target, and C1 is 0.0329 according to a judgment matrix consistency test formula;
referring to the following table, look up the average random consistency index RiR when n is 3i=0.58,CR=Ci/Ri0.0567 is less than 0.1, so that the matrix can be used for consistency check, and the index weight value in W can be applied.
TABLE 2 table for taking values of average random consistency index
Order of matrix 1 2 3 4 5 6 7 8 9 10
Ri 0.00 0.00 0.52 0.89 1.12 1.26 1.36 1.41 1.46 1.49
Maximum characteristic root lambda of secondary index judgment matrix under primary index B1 technical indexmax5.3965, the corresponding eigenvector W1 is (0.0822,0.1674,0.2766,0.0483,0.4256), wherein five components are weight values of five elements B11 maturity, B12 stability, B13 applicability, B14 complexity and B15 safety in the secondary index layer B, and the consistency check index C is calculatedR0.085, less than 0.1;
maximum characteristic root lambda of secondary index judgment matrix under primary index B2 economic indexmax3.0183, the corresponding eigenvector W2 is (0.3202,0.5571,0.1126), three components of which are the construction cost of B21, the running cost of B22, and the weight value of the occupied area of B23 relative to the corresponding primary index, and the consistency check index C is calculatedR0.0176, less than 0.1;
maximum characteristic root lambda of secondary index judgment matrix under primary index B3 environmental protection indexmax2, the corresponding characteristic vector W3 is (0.75,0.25), three components of which are the weight values of B31 and B32 relative to the corresponding first-level index, and the consistency check index C is calculatedR0.0000, less than 0.1;
normalizing the weights of all indexes of the secondary index layer to obtain the weight value of each secondary index relative to a decision target, wherein the specific weight value of each secondary index is shown in the following table;
TABLE 3 Final weights of the second level indicators
Figure BDA0002393780270000081
And fourthly, classifying and calculating the scores of the treatment facilities under the quantitative index and the qualitative index according to the index parameters of different VOCs treatment facilities:
in the embodiment, the scores of the treatment facilities under each index are calculated by combining a 1-9 scale method and a linear interpolation method, and the scores of the treatment facilities under the qualitative indexes are determined by using the 1-9 scale method for the qualitative indexes;
the quantitative index takes actual parameter values thereof for comparative assignment, the quantitative index is converted into a score of 1-9, firstly, the score of the treatment facility under the optimal index is assigned to 9, the score of the treatment facility under the worst index is assigned to 1, and the intermediate score of each intermediate treatment facility is determined by adopting a linear interpolation method;
normalizing the scores of all the treatment facilities under each single index to obtain the final score of each treatment facility under each single index;
the indexes of the treatment facilities such as activated carbon concentration + TO, activated carbon concentration + CO, activated carbon concentration + RTO, activated carbon concentration + RCO, runner concentration + RTO, runner concentration + RCO and the like are scored as shown in the following table;
TABLE 4 scores for each treatment facility under the second level index
Figure BDA0002393780270000082
Figure BDA0002393780270000091
And fifthly, comprehensively analyzing the index weight and the index scores of all the treatment facilities by using a linear weighted sum method, calculating the comprehensive score of the treatment facilities, and sequencing all the treatment facilities:
and (3) obtaining the total score of the VOCs treatment facilities by linearly weighting and summing the score of each index of the VOCs treatment facilities and the index weight, and finally sequencing the scores of the VOCs treatment facilities in the spraying process of the automobile manufacturing industry as follows: runner concentration + RTO active carbon concentration + TO active carbon concentration + RTO runner concentration + RCO active carbon concentration + CO active carbon concentration + RCO, and specific evaluation results are shown in the following table;
TABLE 5 results of evaluation of treatment facilities
Alternative installation Weight of Sorting
Runner + RTO 0.2219 1
Activated carbon + TO 0.1929 2
Activated carbon + RTO 0.1859 3
Runner + RCO 0.1453 4
Activated carbon + CO 0.1343 5
Activated carbon + RCO 0.1199 6
Example 2 evaluation of VOCs treatment facility for exhaust gas of drying section
Step one, screening alternative facilities based on the emission characteristics of VOCs (volatile organic compounds) in the drying waste gas of the automobile manufacturing industry and the characteristics of treatment facilities:
the method is characterized in that the characteristics of small air volume and high-concentration pollution discharge of VOCs waste gas generated in an automobile manufacturing and drying process are combined, a drying section needs a heat source for heating, alternative VOCs treatment facilities are screened and removed, and after the alternative VOCs treatment facilities are removed, the VOCs treatment facilities suitable for the drying process comprise VOCs treatment equipment such as a recovery thermal incineration system (TNV), a fixed RTO + combustion system and a rotary RTO + combustion system;
secondly, selecting technical evaluation indexes to establish an evaluation system, and determining index parameter values of each VOCs treatment facility:
according to a decision target and a VOCs treatment facility evaluation index system consisting of primary and secondary indexes of the VOCs treatment facility, constructing an AHP analysis hierarchical structure model comprising a decision target layer, a primary index layer, a secondary index layer and an alternative technical layer, wherein the analysis hierarchical model and the constructed index system are shown in figure 2;
thirdly, evaluating the weight of each level of index based on the importance analysis of different evaluation indexes, and normalizing:
and constructing pairwise judgment matrixes for the first-level index layers (B1, B2 and B3), the second-level index layers (B11, B12, B13, B14, B15, B21, B22, B23, B31 and B32) and the scheme layers (S1, S2, S3, S4, S5 and S6) according to the evaluation result of the index weight, performing consistency check after the judgment matrix construction is finished, and calculating the weight of each layer element relative to a decision target.
Taking the first-level index weight judgment matrix R1 as an example, the indexes at all levels are compared and assigned by a 1-9 scale method, and the construction process is the same as that of the embodiment 1.
The constructed primary index weight judgment matrix R1 is:
Figure BDA0002393780270000101
calculated R1 maximum feature root λmax3.0658, wherein the eigenvector W is (0.1932,0.0833,0.7235), three components of which are weight values of three elements B1, B2, B3 in the first-level index layer B relative to a decision target, and C1 is 0.0329 according to a judgment matrix consistency test formula;
refer to Table 2 for the average random consistency index RiR when n is 3i=0.58,CR=Ci/Ri0.0567 is less than 0.1, so that the matrix can be used for consistency check, and the index weight value in W can be applied.
Maximum characteristic root lambda of secondary index judgment matrix under primary index B1 technical indexmax5.3965, the corresponding eigenvector W1 is (0.0822,0.1674,0.2766,0.0483,0.4256), wherein five components are weight values of five elements B11 maturity, B12 stability, B13 applicability, B14 complexity and B15 safety in the secondary index layer B, and the consistency check index C is calculatedR0.085, less than 0.1;
maximum characteristic root lambda of secondary index judgment matrix under primary index B2 economic indexmax3.0183, the corresponding eigenvector W2 is (0.3202,0.5571,0.1126), whereThe three components are the construction cost of B21, the operation cost of B22, the weight value of the occupied area of B23 relative to the corresponding first-level index, and the consistency check index C is calculatedR0.0176, less than 0.1;
maximum characteristic root lambda of secondary index judgment matrix under primary index B3 environmental protection indexmax2, the corresponding characteristic vector W3 is (0.75,0.25), three components of which are the weight values of B31 and B32 relative to the corresponding first-level index, and the consistency check index C is calculatedR0.0000, less than 0.1;
and normalizing the weights of all the indexes of the secondary index layer to obtain the weight value of each secondary index relative to the decision target, wherein the specific weight value of the secondary index is shown in a table 3.
And fourthly, classifying and calculating the scores of the treatment facilities under the quantitative index and the qualitative index according to the index parameters of different VOCs treatment facilities:
in the embodiment, the score of the treatment facility under the index is calculated by combining a 1-9 scale method and a linear interpolation method, and the score of the treatment facility under the qualitative index is directly determined by the qualitative index by using the 1-9 scale method;
the quantitative index takes the actual parameter values thereof for comparative assignment, the quantitative index is converted into a score of 1-9, firstly, the score of the treatment facility under the optimal index is assigned to 9, the score of the treatment facility under the worst index is assigned to 1, and the intermediate score of each intermediate treatment facility is determined by adopting a linear interpolation method.
Normalizing the scores of all the treatment facilities under each single index to obtain the final score of each treatment facility under each single index;
the indexes of the TNV, the fixed RTO + combustion system and the rotary RTO + combustion system treatment facilities are scored as shown in the following table;
TABLE 6 scores of each treatment facility under the second level index
Figure BDA0002393780270000121
And fifthly, comprehensively analyzing the index weight and the index scores of all the treatment facilities by using a linear weighted sum method, calculating the comprehensive score of the treatment facilities, and sequencing all the treatment facilities:
obtaining the total score of the VOCs treatment facilities by the linear weighting sum method of the index scores of the VOCs treatment facilities and the index weights, and finally obtaining the specific evaluation results of the VOCs treatment facility score sorting in the drying process of the automobile manufacturing industry according to the following table;
TABLE 7 evaluation results of treatment facilities
Alternative installation Weight of Sorting
TNV 0.4962 1
Rotary RTO + combustion system 0.3000 2
Fixed RTO + combustion system 0.2038 3
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and should not be taken as limiting the invention, so that any modifications, equivalents, improvements and the like, which are within the spirit and principle of the present invention, should be included in the scope of the present invention.

Claims (7)

1. A VOCs treatment facility evaluation method in the automobile manufacturing industry is characterized by comprising the following steps: the method comprises the following steps:
step 1: screening alternative treatment facilities based on the VOCs emission characteristics and the treatment facility characteristics in the automobile manufacturing industry;
step 2: selecting an evaluation index of the treatment facility to establish an evaluation system, and determining an index parameter value of each treatment facility;
and step 3: evaluating the weight of each level of index based on the importance analysis of different evaluation indexes, and carrying out normalization processing;
and 4, step 4: according to the index parameters of different VOCs treatment facilities, classifying and calculating the scores of the treatment facilities under the quantitative index and the qualitative index, and performing normalization treatment;
and 5: and comprehensively analyzing the index weight and the index scores of all the treatment facilities by using a linear weighted sum method, calculating the final judgment value of the treatment facilities, and sequencing all the treatment facilities to obtain an evaluation result.
2. The assessment method for VOCs treatment facilities in automobile manufacturing industry according to claim 1, wherein: in the step 2, an index reflecting the advancement of VOCs treatment facilities in the automobile manufacturing industry is selected as a first-level evaluation index, and a treatment facility evaluation index system is established, wherein the first-level evaluation index at least comprises environmental protection, technology and economy;
the environmental protection index at least comprises one of the following two-level indexes: removing efficiency and secondary pollution;
the technical index at least comprises one of the following two-level indexes: maturity, stability, applicability, complexity, safety;
the economic index at least comprises one of the following two-level indexes: construction cost, operation cost and floor area.
3. The assessment method for VOCs treatment facilities in automobile manufacturing industry according to claim 1, wherein: in the step 3, the weight of each level of index is determined by the judgment matrix, and the specific calculation steps are as follows:
step 3.1: comparing and assigning indexes of all levels by a 1-9 scale method, and constructing a judgment matrix;
step 3.2: carrying out consistency check on the constructed judgment matrix;
step 3.3: selecting the characteristic vector of the judgment matrix passing the consistency test as a middle weight value of the corresponding index;
step 3.4: and carrying out normalization processing on the weight values of all levels of indexes to obtain the final weight values of all levels of indexes.
4. The assessment method for VOCs treatment facilities in automobile manufacturing industry according to claim 3, wherein: the steps of the consistency check in step 3.2 are as follows:
step 3.2.1: adding the judgment matrixes line by line to obtain a vector W (W1, W2T
Step 3.2.2: a vector W (W1, W2TThe feature vector is normalized as follows:
Figure FDA0002393780260000021
step 3.2.3: the maximum characteristic root is calculated as follows:
Figure FDA0002393780260000022
step 3.2.4: carrying out consistency check on the matrix according to the following formula;
CR=(λmax-n)×Ri/(n-1);
wherein B is a constructed judgment matrix, CRFor consistency check, n is the order of the matrix, RiIs an average random consistency index, if CRLess than 0.1, the matrix is consistent with the consistency test.
5. The assessment method for VOCs treatment facilities in automobile manufacturing industry according to claim 1, wherein: in the step 4, the scores of the treatment facilities under the qualitative index and the quantitative index are determined according to the parameters of the treatment facilities, and the specific calculation steps are as follows:
step 4.1: comparing the treatment facilities under the single qualitative index by a 1-9 scale method and determining the intermediate score of the treatment facilities under the single qualitative index;
step 4.2: determining the intermediate scores of all the treatment facilities under each single quantitative index by a linear interpolation method;
step 4.3: and (4) carrying out normalization treatment on the intermediate scores of all the treatment facilities under each single index to obtain the final scores of all the treatment facilities under each single index.
6. The assessment method for VOCs treatment facilities in automobile manufacturing industry according to claim 1, wherein: the step of determining the median score of all abatement facilities under each single quantitative index by a linear interpolation method in the step 4.2 is as follows:
step 4.2.1: assigning the facility under the optimal index as the highest score, and assigning the facility under the worst index as the lowest score;
step 4.2.2: and determining the intermediate score of the treatment facility under each index between the optimal index and the worst index by adopting a linear interpolation method.
7. The assessment method for VOCs treatment facilities in automobile manufacturing industry according to claim 6, wherein: the calculation formula of the final evaluation value of the treatment facility in the step 5 is as follows: gi=∑Pij×djWherein G isiIs the final evaluation value of the facility, PijThe score of each of the ith items under the jth evaluation index, djThe weight value of the j index.
CN202010123721.7A 2020-02-27 2020-02-27 Evaluation method for VOCs treatment facility in automobile manufacturing industry Pending CN111461483A (en)

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Application publication date: 20200728