A method for evaluating the ecological level of the steel industry

Abstract

The present invention relates to an evaluation method for the ecological level of the steel industry, and belongs to the technical field of steel industry production methods. The technical scheme of the present invention is: to establish an evaluation index system for the ecological level of the steel industry based on the mutation series method; to collect original data, and to perform dimensionless processing on the data using the range transformation method; to determine the mutation model and the normalization formula according to the number of evaluation indicators at each level; to use the normalization formula, and to evaluate the indicators at each level from bottom to top according to the principles of complementarity and non-complementarity; and to analyze and evaluate the ecological level of the steel industry according to the evaluation results. The beneficial effects of the present invention are: the calculation is simple and accurate, and there is no need to assign weights to the indicators, so that the evaluation results are more objective, and the ecological level of the steel industry can be effectively evaluated.

Description

Technical Field

[0001] The invention relates to an evaluation method for the ecological level of the steel industry, belonging to the technical field of steel industry production methods. Background Art

[0003] Industrial ecology is a new development model that can effectively promote the sustainable development of the industry in the process of human reflection on the traditional development model and practice of sustainable development ideas. However, the relevant research on how to promote the ecological transformation of my country's steel industry, especially how to measure the ecological level of my country's steel industry, is immature. Therefore, it is necessary to propose an evaluation method that can evaluate the ecological level of the steel industry. Summary of the invention

[0004] The purpose of the present invention is to provide an evaluation method for the ecological level of the steel industry. The evaluation system is constructed by using the mutation series method, and then the indicators at each level are evaluated step by step according to the mutation model and the normalization formula. The calculation is simple and accurate, and there is no need to assign weights to the indicators, so that the evaluation results are more objective. The ecological level of the steel industry can be effectively evaluated, which makes up for the deficiency that in previous studies, it is often necessary to assign weights to indicators, so that subjective factors have a greater impact on the results. The ecological level of the steel industry is reflected more scientifically, and the above-mentioned problems existing in the background technology are effectively solved.

[0005] The technical solution of the present invention is: a method for evaluating the ecological level of the steel industry, comprising the following steps:

[0006] (1) Establish an evaluation index system for the ecological level of the steel industry based on the mutation series method; (2) Collect original data and use the range transformation method to transform the data into a dimensionless form; (3) Determine the mutation model and normalization formula based on the number of evaluation indicators at each level; (4) Use the normalization formula to evaluate the indicators at each level from bottom to top according to the principles of complementarity and non-complementarity; (5) Analyze and evaluate the ecological level of the steel industry based on the evaluation results, and compare it horizontally with other steel companies, or vertically compare the ecological level of the steel industry of the company over the years.

[0007] In the step (1), in the mutation progression method, the number of evaluation indicators at each level shall not exceed four.

[0008] In the step (2), the dimensionless processing formula is:

[0009] The processing formula of positive indicators:

[0010]

[0011] The processing formula of the reverse indicator is:

[0012]

[0013] The processing formula of the appropriate index is:

[0014]

[0015] In the formula, x max(i) represents the maximum value of the index in the i-th row, x min(i) represents the minimum value of the index in the i-th row, x 0(i) Indicates the appropriate value of the indicator. After dimensionless processing, the value range is 0 to 1.

[0016] In the step (3), there are seven forms of mutation models, three of which are common, namely, cusp mutation, swallowtail mutation and butterfly mutation; when the same level contains two indicators, the corresponding mutation model is the cusp mutation model; when the same level contains three indicators, the corresponding mutation model is the swallowtail mutation model; when the same level contains four indicators, the corresponding mutation model is the butterfly mutation model.

[0017] In step (3), when the mutation model is a cusp mutation model, the normalization formula is: a =a 1 / 2 , x b =b 1 / 3 ; When the mutation model is a swallowtail mutation model, the normalization formula is: x a =a 1 / 2 , x b =b 1 / 3 , x c =c 1 / 4 ; When the mutation model is the butterfly mutation model, the normalization formula is: x a =a 1 / 2 , x b =b 1 / 3 , x c =c 1 / 4 , x d =d 1 / 5 .

[0018] In the step (4), when the normalization formula is used for step-by-step evaluation, if there is interaction between the indicators at the same level, the principle of complementary averaging is followed; if there is no obvious interaction between the indicators at the same level, the principle of non-complementary large-medium-small is followed.

[0019] The beneficial effects of the present invention are as follows: by utilizing the mutation series method to construct an evaluation system, and then evaluating the indicators at each level step by step according to the mutation model and the normalization formula, the calculation is simple and accurate, and there is no need to assign weights to the indicators, so that the evaluation results are more objective, and the ecological level of the steel industry can be effectively evaluated, which makes up for the deficiency in previous studies that it is often necessary to assign weights to the indicators, so that subjective factors have a greater impact on the results, and more scientifically reflects the ecological level of the steel industry. DETAILED DESCRIPTION

[0020] In order to make the purpose, technical solutions and advantages of the invention implementation cases clearer, the technical solutions of the present invention will be clearly and completely described in conjunction with the implementation cases below. Obviously, the implementation cases described are only a small part of the implementation cases of the present invention, rather than all the implementation cases. Based on the implementation cases in the present invention, all other implementation cases obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0021] A method for evaluating the ecological level of the steel industry comprises the following steps: (1) establishing an evaluation index system for the ecological level of the steel industry based on a mutation series method; (2) collecting original data and performing dimensionless processing on the data using a range transformation method; (3) determining a mutation model and a normalization formula according to the number of evaluation indicators at each level; (4) using the normalization formula, evaluating the indicators at each level from bottom to top according to the principles of complementarity and non-complementarity; and (5) analyzing and evaluating the ecological level of the steel industry according to the evaluation results, and comparing it horizontally with other steel enterprises, or vertically comparing the ecological level of the steel industry of the enterprise over the years.

[0022] In the step (1), in the mutation progression method, the number of evaluation indicators at each level shall not exceed four.

[0023] In the step (2), the dimensionless processing formula is:

[0024] The processing formula of positive indicators:

[0025]

[0026] The processing formula of the reverse indicator is:

[0027]

[0028] The processing formula of the appropriate index is:

[0029]

[0030] In the formula, x max(i) represents the maximum value of the index in the i-th row, x min(i) represents the minimum value of the index in the i-th row, x 0(i)Indicates the appropriate value of the indicator. After dimensionless processing, the value range is 0 to 1.

[0031] In the step (3), there are seven forms of mutation models, three of which are common, namely, cusp mutation, swallowtail mutation and butterfly mutation; when the same level contains two indicators, the corresponding mutation model is the cusp mutation model; when the same level contains three indicators, the corresponding mutation model is the swallowtail mutation model; when the same level contains four indicators, the corresponding mutation model is the butterfly mutation model.

[0032] In step (3), when the mutation model is a cusp mutation model, the normalization formula is: a =a 1 / 2 , x b =b 1 / 3 ; When the mutation model is a swallowtail mutation model, the normalization formula is: x a =a 1 / 2 , x b =b 1 / 3 , x c =c 1 / 4 ; When the mutation model is the butterfly mutation model, the normalization formula is: x a =a 1 / 2 , x b =b 1 / 3 , x c =c 1 / 4 , x d =d 1 / 5 .

[0033] In the step (4), when the normalization formula is used for step-by-step evaluation, if there is interaction between the indicators at the same level, the principle of complementary averaging is followed; if there is no obvious interaction between the indicators at the same level, the principle of non-complementary large-medium-small is followed.

[0034] Example:

[0035] The ecological level of the steel industry of a certain steel plant in 2017, 2018 and 2019 was evaluated.

[0036] (1) The index content was determined based on the factors affecting the ecological level of the steel industry. The indexes were ranked in order of importance using expert interviews and questionnaire surveys. Finally, the evaluation index system for the ecological level of the steel industry based on the mutation series method was determined as shown in the following table.

[0037]

[0038]

[0039] (2) We collected original data from the annual reports of the steel plant and obtained some indicator data through field investigation of the steel plant. The data are as follows:

[0040] Original data of evaluation indicators of ecological level of steel industry

[0041]

[0042]

[0043] (3) The data is dimensionless, and the processed data is shown in the following table:

[0044] Standardizing Data

[0045]

[0046]

[0047] Take 2017 as an example to calculate the data. The same is true for other years.

[0048] The three-level indicators: return on assets (%) C1, main business growth rate (%) C2, accounts receivable turnover rate (%) C3 and debt-to-asset ratio (%) C4 constitute the butterfly mutation model, and each indicator is complementary.

[0049] x a =x c1 1 / 2 =0 1 / 2 =0

[0050] x b =x c2 1 / 3 =0 1 / 3 =0

[0051] x c =x c3 1 / 4 =1 1 / 4 =1

[0052] x d =x c4 1 / 5 =1 1 / 5 =1

[0053] According to the principle of complementary averaging, the financial value of indicator B1 is:

[0054] x B1 =(x a +x b +x c +x d ) / 4=0.5

[0055] Logistics cost (million yuan) C5, management cost (million yuan) C6, and energy consumption cost C7 constitute a swallowtail catastrophe model, and each indicator is complementary.

[0056] x a =x c5 1 / 2 =0.5072 1 / 2 =0.7122

[0057] x b =x c6 1 / 3 =0 1 / 3 =0

[0058] x c =x c7 1 / 4 =1 1 / 4 =1

[0059] According to the principle of complementary averaging, the cost indicator B2 is:

[0060] x B2 =(x a +x b +x c ) / 3=0.5707

[0061] The production and sales rate (%) C8, the production demand rate (%) C9, and the product qualification rate (%) C10 constitute a dovetail catastrophe model, and each indicator is complementary.

[0062] x a =x c8 1 / 2 =0.6277 1 / 2 =0.7923

[0063] x b =x c9 1 / 3 =0 1 / 3 =0

[0064] x c =x c10 1 / 4 =0 1 / 4 =0

[0065] According to the principle of complementary averaging, indicator operational capability B3:

[0066] x B3 =(x a +x b +x c ) / 3=0.2641

[0067] The order completion rate (%) C11, the accurate delivery rate (%) C12, and the customer value rate (%) C13 constitute a dovetail catastrophe model, and each indicator is complementary.

[0068] x a =x c11 1 / 2 =0 1 / 2 =0

[0069] x b =x c12 1 / 3 =0.8352 1 / 3 =0.9417

[0070] x c =x c13 1 / 4 =0 1 / 4 =0

[0071] According to the principle of complementary averaging, indicator customer service B4:

[0072] x B4 =(x a +x b +x c ) / 3=0.3139

[0073] The ability to deliver raw materials and products in a timely manner (%) C14, inventory turnover rate (%) C15, on-time transportation rate (%) C16, and information sharing rate (%) C17 constitute the butterfly mutation model, and each indicator is complementary.

[0074] x a =x c14 1 / 2 =0 1 / 2 =0

[0075] x b =x c15 1 / 3 =0 1 / 3 =0

[0076] x c =x c16 1 / 4 =1 1 / 4 =1

[0077] x d =x c17 1 / 5 =0 1 / 5 =0

[0078] According to the principle of complementary averaging, indicator business process B5:

[0079] x B5 =(x a +xb +x c +x d ) / 4=0.25

[0080] The new product development rate (%) C18, the scientific research investment cost ratio (%) C19, and the number of patent applications C20 constitute a dovetail mutation model, and the indicators are complementary.

[0081] x a =x c18 1 / 2 =0.1350 1 / 2 =0.3674

[0082] x b =x c19 1 / 3 =0 1 / 3 =0

[0083] x c =x c20 1 / 4 =0 1 / 4 =0

[0084] According to the principle of complementary averaging, indicator innovation and development B6:

[0085] x B6 =(x a +x b +x c ) / 3=0.1225

[0086] Environmental protection fund investment rate (%) C21, CO2 emissions per ton of steel C22, SO2 emissions per ton of steel C23, and COD emissions per ton of steel C24 constitute a butterfly mutation model, and each indicator is complementary.

[0087] x a =x c21 1 / 2 =0.1792 1 / 2 =0.4233

[0088] x b =x c22 1 / 3 =0.6 1 / 3 =0.8434

[0089] x c =x c23 1 / 4 =1 1 / 4 =1

[0090] x d =x c24 1 / 5 =1 1 / 5 =1

[0091] According to the principle of complementary averaging, indicator environmental protection B7:

[0092] x B7 =(x a +x b +x c +x d ) / 4=0.8167

[0093] The comprehensive energy consumption per ton of steel C25, the new water energy consumption per ton of steel C26, and the comprehensive utilization rate of solid waste C27 constitute a dovetail mutation model, and the indicators are complementary.

[0094] x a =x c25 1 / 2 =1 1 / 2 =1

[0095] x a =x c26 1 / 3 =0.75 1 / 3 =0.9086

[0096] x c =x c27 1 / 4 =0 1 / 4 =0

[0097] According to the principle of complementary averaging, the resource energy consumption indicator B8 is:

[0098] x B8 =(x a +x b +x c ) / 3=0.6362

[0099] The total amount of residual energy recovery C28 and the product recovery rate (%) C29 constitute a cusp catastrophe model, and the indicators are complementary.

[0100] x a =x c28 1 / 2 =1 1 / 2 =1

[0101] x b =x c29 1 / 3 =0 1 / 3 =0

[0102] According to the principle of complementary averaging, the indicator of energy conservation and emission reduction B9 is:

[0103] x B9 =(x a +x b ) / 2=0.5

[0104] Secondary indicators: financial value B1 and cost B2, constitute a cusp mutation model, and the indicators are non-complementary.

[0105] x a =x B1 1 / 2 =0.5 1 / 2 =0.7071

[0106] x b =x B2 1 / 3 =0.5707 1 / 3 =0.8295

[0107] According to the non-complementary principle of choosing the small from the big, the indicator economic performance A1 is:

[0108] x A1 =min(x a ,x b )=0.7071

[0109] Operational capability B3, customer service B4, business process B5, and innovative development B6 constitute the butterfly mutation model, and the indicators are not complementary.

[0110] x a =x B3 1 / 2 =0.2641 1 / 2 =0.5139

[0111] x b =x B4 1 / 3 =0.3139 1 / 3 =0.6796

[0112] x c =x B5 1 / 4 =0.25 1 / 4 =0.7071

[0113] x d =x B6 1 / 5 =0.1225 1 / 5 =0.6571

[0114] According to the non-complementary principle of taking the small from the big, the indicator operation performance A2 is:

[0115] x A2 =min(x a ,x b ,x c ,x d )=0.5139

[0116] Environmental protection B7, resource and energy consumption B8, and energy conservation and emission reduction B9 constitute a swallowtail mutation model, and the indicators are not complementary.

[0117] x a =x B7 1 / 2 =0.8167 1 / 2 =0.9037

[0118] x b =x B8 1 / 3 =0.6362 1 / 3 =0.8601

[0119] x c =x B9 1 / 4 =0.5 1 / 4 =0.8409

[0120] According to the non-complementary principle of choosing the smaller from the larger, the indicator green performance A3 is:

[0121] x A3 =min(x a ,x b ,x c )=0.8409

[0122] First-level indicators: economic performance A1, operational performance A2, and green performance A3, constitute a swallowtail mutation model, and the indicators are not complementary.

[0123] x a =x A1 1 / 2 =0.7071 1 / 2 =0.8409

[0124] x b =x A2 1 / 3 =0.5139 1 / 3 =0.8010

[0125] x c =x A3 1 / 4 =0.8409 1 / 4 =0.9576

[0126] According to the principle of non-complementary large-medium-small, the ecological level of the steel industry of this steel plant in 2017 is:

[0127] x=min(x A1 ,x A2 ,x A3 )=0.8010

[0128] Similarly, calculate the data of the steel plant in 2018 and 2019. As follows:

[0129] Results of evaluation on ecological level of steel industry in steel plants

[0130]

[0131] According to the calculated data, we can see the scores of various indicators of the steel plant in 2017, 2018 and 2019 as well as the overall ecological level of the steel industry. This method can be used to compare with other steel companies horizontally, or to compare the ecological level of the steel industry of the enterprise over the years vertically.

[0132] The above description of the disclosed embodiments enables those skilled in the art to implement or use the invention. Various modifications to these embodiments will be apparent to those skilled in the art. The general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the invention will not be limited to the embodiments shown herein, but shall be within the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for evaluating the ecological level of the steel industry, characterized in that The method includes the following steps: (1) establishing an evaluation index system for the ecological level of the steel industry based on the catastrophe series method; (2) collecting original data and performing dimensionless processing on the data using the range transformation method; (3) According to the number of evaluation indicators at each level, determine the mutation model and normalization formula; (4) Using the normalization formula, evaluate the indicators at each level from bottom to top according to the principles of complementarity and non-complementarity; (5) Analyze and evaluate the ecological level of the steel industry based on the evaluation results, and compare it horizontally with other steel companies, or vertically compare the ecological level of the steel industry of the company over the years.

2. The method for evaluating the ecological level of the steel industry according to claim 1, characterized in that: In the step (1), in the mutation progression method, the number of evaluation indicators at each level shall not exceed four.

3. The method for evaluating the ecological level of the steel industry according to claim 1, characterized in that: In the step (2), the dimensionless processing formula is: The processing formula of positive indicators: The processing formula of the reverse indicator is: The processing formula of the appropriate index is: In the formula, x max(i) represents the maximum value of the index in the i-th row, x min(i) represents the minimum value of the index in the i-th row, x 0(i) Indicates the appropriate value of the indicator. After dimensionless processing, the value range is 0 to 1.

4. The method for evaluating the ecological level of the steel industry according to claim 1, characterized in that: In the step (3), there are seven forms of mutation models, three of which are common, namely, cusp mutation, swallowtail mutation and butterfly mutation; when the same level contains two indicators, the corresponding mutation model is the cusp mutation model; when the same level contains three indicators, the corresponding mutation model is the swallowtail mutation model; when the same level contains four indicators, the corresponding mutation model is the butterfly mutation model.

5. The method for evaluating the ecological level of the steel industry according to claim 4, characterized in that: In step (3), when the mutation model is a cusp mutation model, the normalization formula is: a =a 1 / 2 , x b =b 1 / 3 ; When the mutation model is a swallowtail mutation model, the normalization formula is: x a =a 1 / 2 , x b =b 1 / 3 , x c =c 1 / 4 ; When the mutation model is the butterfly mutation model, the normalization formula is: x a =a 1 / 2 , x b =b 1 / 3 , x c =c 1 / 4 , x d =d 1 / 5 .

6. The method for evaluating the ecological level of the steel industry according to claim 1, characterized in that: In the step (4), when the normalization formula is used for step-by-step evaluation, if there is interaction between the indicators at the same level, the principle of complementary averaging is followed; if there is no obvious interaction between the indicators at the same level, the principle of non-complementary large-medium-small is followed.

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