1. A comprehensive energy efficiency assessment method for cross-environment renewable plastic particles is characterized by comprising the following steps: the method comprises the following steps:

s1, an operator firstly establishes an evaluation index system aiming at specific plastic material types, wherein the evaluation index system comprises 2 items of A-level criterion layer indexes, 4 items of B-level criterion layer indexes and 9 items of C-level criterion layer indexes, collects parameters for calculating the indexes, and pre-calculates the water content of garbage per unit mass;

s2, respectively setting A, B, C three-level indexes established in S1 in corresponding current levels, respectively establishing a plurality of index weight scale comparison and evaluation groups, and implementing expert evaluation assignment on the index scales by utilizing the mutual importance comparison degree, wherein the scale assignment range is determined from 1 to 9, and the scale assignment is determined according to the same importance, slightly importance, obvious importance, strong importance, extreme importance of the index comparison and the degree between the degrees;

s3, establishing an assignment matrix for the assignment result of the weight scale comparison and evaluation group, and calculating the maximum characteristic root and the consistency index CI value of the constructed matrix;

s4, obtaining a matrix consistency coefficient CR value by combining the calculation result with a matrix RI value, verifying the matrix consistency, and determining an estimated plastic product A, B, C estimation index weight value by utilizing a matrix eigenvector verified by consistency;

s5, sorting the parameters and the weight values by using a comprehensive energy efficiency evaluation model established by an evaluation method, inputting the parameters and the weight values into a corresponding parameter table, and inputting the parameters and the weight values into a background server;

s6, after receiving data input, the background calculates a comprehensive energy efficiency evaluation value according to the evaluation model, and meanwhile, the maximum comprehensive energy efficiency and the minimum comprehensive energy consumption are calculated according to the model by utilizing variable floating of the evaluation set time period;

s7, performing domain value normalization on the comprehensive energy efficiency value by using a membership function through a normalization method, calculating to obtain a comprehensive energy efficiency index score value, and assigning a corresponding assignment;

and S8, according to the index score assignment, determining an energy efficiency evaluation grade and a corresponding level grade, and combining the input of the characteristic parameter detection result, and realizing the solid waste evaluation of the plastic products by using a large data platform in the background database server.

2. The method for comprehensively evaluating the energy efficiency of the cross-border renewable plastic particles as claimed in claim 1, wherein the evaluation index system established in S1 and the corresponding parameter data statistics are calculated according to the actual conditions of the obtained results obtained by the subsequent step-by-step calculation, and the evidence for supporting the evaluation of the solid wastes is determined according to the actual classification requirements, so as to provide data results for potential solid wastes classification, the background contains a database server, the server classifies the solid wastes in combination with the input of the characteristic parameter detection results, so as to automatically distribute the solid wastes, and then the information in the database can be classified into hazardous wastes and general wastes according to the pollution characteristics thereof, and can be classified into municipal solid wastes, industrial solid wastes and hazardous wastes according to the solid waste pollution environment prevention and control method.

3. The method for comprehensively evaluating the energy efficiency of the trans-environmental renewable plastic particles as claimed in S1 in claim 1, wherein the water content of the solid waste garbage is removed, and the water content is the water content of the garbage per unit mass and is expressed by mass fraction W (%);

the calculation formula is W ═ (A-B)/A ═ 100%

In the formula, A is the original quality of a garbage sample;

and B is the dried mass of the sample.

4. The method for comprehensively evaluating the energy efficiency of the trans-environmental renewable plastic particles as claimed in S1 of claim 1, wherein the three levels of A, B, C in S1 are mainly selected from the following cases: the method comprises 2A-level criterion layer indexes of input and output, wherein the input and the output respectively comprise 2B-level criterion layer indexes of energy input, resource input and economic output and environment negative output, the energy input comprises 3C-level criterion layer indexes of diesel oil consumption, electric power consumption and water consumption, the resource input comprises 2C-level criterion layer indexes of plastic consumption and processing aid consumption, the economic output comprises target product output, and the environment negative output comprises 3C-level criterion layer indexes of waste water treatment fee, waste gas treatment fee and waste solid treatment fee.

5. The method for comprehensively evaluating the energy efficiency of the trans-environmental renewable plastic particles as claimed in S2 of claim 1, wherein the index weight scale comparative evaluation groups are respectively as follows: a1 ═ input, output }; a2 ═ energy investment, resource investment }; a3 ═ economic yield, environmental negative yield }; a4 ═ evaluation of plastic variety input and processing aid consumption }; a5 ═ diesel consumption, power consumption, water consumption }; a6 ═ waste water treatment, waste gas treatment, and solid waste treatment }.

6. The comprehensive energy efficiency assessment method for the trans-environmental renewable plastic particles as claimed in claim 1, S3, wherein the matrix form is established as follows:

wherein, B is an index scale evaluation assignment matrix constructed by a certain criterion layer for lower indexes, a_nnAn assignment is made to the weight scale rating of an index.

The maximum characteristic root of the corresponding matrix is calculated according to the following formula:

wherein, W is the characteristic vector corresponding to the index scale evaluation assignment matrix constructed by a certain criterion layer for the lower level index, n is the matrix order, W is_iFor the corresponding specific numerical value in the feature vector W, lambda max is the maximum feature root corresponding to the index scale evaluation assignment matrix constructed by a certain criterion layer for the lower-level index;

the CI value of the consistency index of the corresponding matrix is calculated according to the following formula:

wherein, CI is a certain matrix consistency index, n is a matrix order, and λ max is a maximum characteristic root of a corresponding matrix.

7. The method for comprehensively evaluating the energy efficiency of the trans-environmental renewable plastic particles as recited in S4 in claim 1, wherein the matrix RI value is calculated as follows (obtained by referring to the average random consistency index table):

the matrix validation consistency coefficient CR value is calculated as follows:

wherein, CR is a matrix verification consistency coefficient, CI is a matrix consistency index, and RI is a matrix random consistency index value.

8. The method for comprehensively evaluating the energy efficiency of the trans-environmental renewable plastic particles as claimed in S5 in claim 1, wherein the comprehensive energy efficiency evaluation model established by the evaluation method is used for calculating the comprehensive energy efficiency index value according to the data input in the system platform:

wherein eta is the energy efficiency index value of the renewable polyethylene, and the net output of the ten-thousand-yuan comprehensive input; omega_iIs the corresponding index weight; v_c6The value of the modified particles of the primary product is calculated according to the output and the price, and is ten thousand yuan; v_cjAs a source of energyAnd (3) calculating the economic quantification values of the indexes of input, resource input, economic output and environmental negative output in the criterion layer C according to the consumption or output and the corresponding unit price to obtain the ten thousand yuan/t primary product.

9. The method for comprehensively evaluating the energy efficiency of the trans-environmental renewable plastic particles as claimed in claim 8, wherein the parameter calculation process of S6 is characterized in that:

weight equivalent value of economic output: v_{Economy of production}＝ω_B3×ω_c6×V_c6

Wherein, V_{Economy of production}The weight equivalent value of economic output of single ton yield is ten thousand yuan/t product; omega_B3The economic output weight; omega_c6To modify particle yield weights; v_c6For the product value, the unit price and the output quantity of the product are calculated in ten thousand yuan;

weight equivalent value of environmental negative outcome:

V_{negative environmental output}＝ω_B4×(ω_c7×V_c7+ω_c8×V_c8+ω_c9×V_c9)

Wherein, V_{Negative environmental output}The method is a single-ton yield environment negative output weight equivalent value, ten thousand yuan per t of product; omega_iAre all corresponding weight values, ω_B4Is the environmental negative output weight, omega_c7、ω_c8、ω_c9The weight of the discharge of waste water, waste gas and solid waste in the negative output of the environment is weighted; v_iFor the waste of three wastes, V_c7、V_c8、V_c9Respectively is the weight equivalent value of the treatment consumption of waste water, waste gas and solid waste, ten thousand yuan/t product and energy input value:

V_{energy source}＝ω_B1×(ω_c1×V_c1+ω_c2×V_c2+ω_c3×V_c3)

Wherein, V_{Energy source}The weight equivalent value of the energy value of the single ton output input, ten thousand yuan/t product; omega_iAre all corresponding weight values, ω_B1Weight input for energy, omega_c1、ω_c2、ω_c3Is diesel oilConsumption, power consumption, water consumption weight; v_iValue of input energy, V_c1、V_c2、V_c3The values of the diesel oil, the electric power and the water are respectively ten thousand yuan;

weight equivalent value of resource investment value: v_(Resource)＝ω_B2×(ω_c4×V_c4+ω_c5×V_c5)

Wherein, V_{Energy source}The weight equivalent value of the resource value of the single ton output investment, ten thousand yuan/t product; omega_iTo all correspond to the weight value, ω_B2Investing weight, omega, for resources_c4、ω_c5The weight is consumed for the reclaimed materials and the modified auxiliary agents; v_iTo put into resource value, V_c4、V_c5The values of the added reclaimed materials and the added modification auxiliary agents are ten thousand yuan.

10. The comprehensive energy efficiency assessment method for the trans-environmental renewable plastic particles as recited in S7 in claim 1, wherein:

and (3) calculating the score value of the energy efficiency index:

wherein f (eta) is the energy efficiency index score value of the renewable plastic; eta is an energy efficiency evaluation index value of the evaluation object; eta max is the energy efficiency maximum value of a certain specified period related to the current evaluation value; eta min is the energy efficiency minimum value of a certain specified period related to the current evaluation value;

meanwhile, according to the index score value obtained by calculation, assignment is carried out according to different threshold value ranges, and the energy efficiency evaluation value S specifically comprises the following steps: when f (eta) is not less than 3 and not more than 4, the energy efficiency evaluation value S is 4; when f (eta) is less than or equal to 3 and is more than or equal to 2, the energy efficiency evaluation value S is 3; when f (eta) is less than or equal to 1 and less than 2, the energy efficiency evaluation value S is 2; when f (eta) is less than or equal to 1 and is more than or equal to 0, the energy efficiency evaluation value S is 1;

the comprehensive energy efficiency level is divided into four classes, namely, a first class to a fourth class according to S & ltSUB & gt 4 & lt/SUB & gt, S & ltSUB & gt 3 & ltSUB & gt, S & ltSUB & gt 2 & ltSUB & gt and S & ltSUB & gt 1 & lt/SUB & gt, and the corresponding energy efficiency level is high, common and poor;

the big data analysis in the S8 is used for judging and reading according to the existing calculation data, judging the normal range of the big data, determining the stable and unstable states of the big data, then carrying out curve drawing on the big data, determining the data line of each solid waste evaluation, then calculating the big data, disclosing the big data and the pre-judgment data of later quota, and determining the development curve of the big data;

normally storing the calculated data in the method, keeping the data in a server, checking the solid waste evaluation data every time, converting when the solid waste fluctuation value exceeds 5%, backing up the data, checking the data for 1-3 times through the server after the deviation of the data exceeding 5%, marking the data, transmitting the data to a foreground of the server, displaying the data, determining the correctness of the data, and storing the data for the second time, wherein the two times of data are not uniform.

Background

The solid waste refers to solid and semi-solid waste substances generated in production, consumption, life and other activities of human beings, in general, the waste is 'garbage', mainly comprises solid particles, garbage, furnace slag, sludge, waste products, damaged vessels, defective products, animal bodies, deteriorated food, human and animal excreta and the like, and high-concentration liquid such as waste acid, waste alkali, waste oil, waste organic solvent and the like is also classified as the solid waste in some countries;

however, the existing solid waste assessment is inaccurate, and the related calculation cannot be better and accurately calculated, so that the problems that the calculation of the solid waste is inaccurate, and the calculation and the later-stage waste-solid conversion are influenced are caused.

Disclosure of Invention

The invention provides a comprehensive energy efficiency evaluation method for cross-border renewable plastic particles, which can effectively solve the problems that the existing solid waste evaluation is inaccurate, and the related calculation cannot be better and accurately calculated, so that the calculation of the solid waste is inaccurate, and the calculation and the later-stage waste-solid conversion are influenced.

In order to achieve the purpose, the invention provides the following technical scheme: a comprehensive energy efficiency assessment method for cross-border renewable plastic particles comprises the following steps:

s1, an operator firstly establishes an evaluation index system aiming at specific plastic material types, wherein the evaluation index system comprises 2 items of A-level criterion layer indexes, 4 items of B-level criterion layer indexes and 9 items of C-level criterion layer indexes, collects parameters for calculating the indexes, and pre-calculates the water content of garbage per unit mass.

S2, respectively setting the A, B, C three-level indexes established in S1 in the corresponding current level, respectively establishing a plurality of index weight scale comparison and evaluation groups, and implementing expert evaluation assignment on the index scales by utilizing the mutual importance comparison degree, wherein the scale assignment range is determined from 1 to 9, and the scale assignment is determined according to the importance of the index comparisons, the importance of the indexes, the obvious importance of the indexes, the strong importance of the indexes, the extreme importance of the indexes and the degrees between the importance and the degrees.

S3, establishing an assignment matrix for the assignment result of the weight scale comparison and evaluation group, and calculating the maximum characteristic root and the consistency index CI value of the constructed matrix.

And S4, combining the calculated result with the matrix RI value to obtain a matrix consistency coefficient CR value, and verifying the matrix consistency. The plastic product A, B, C evaluated is determined to evaluate the index weight value using the matrix eigenvector determination that passes consistency verification.

And S5, sorting the parameters and the weight values by using the comprehensive energy efficiency evaluation model established by the evaluation method, inputting the parameters and the weight values into a corresponding parameter table, and inputting the parameters and the weight values into a background server.

And S6, after receiving data input, the background calculates a comprehensive energy efficiency evaluation value according to the evaluation model, and simultaneously obtains the maximum comprehensive energy efficiency and the minimum comprehensive energy consumption according to model calculation by utilizing variable floating of a set evaluation time period.

And S7, performing domain value normalization on the comprehensive energy efficiency value by using a normalization method and a membership function, calculating to obtain a comprehensive energy efficiency index score value, and assigning a corresponding value.

And S8, according to the index score assignment, determining an energy efficiency evaluation grade and a corresponding level grade, and combining the input of the characteristic parameter detection result, and realizing the solid waste evaluation of the plastic products by using a large data platform in the background database server.

And outputting the calculated data to a data table of a lower computer for displaying after background calculation is finished. According to the technical scheme, solid wastes are classified according to actual conditions, the background comprises a database server, solid waste products are classified by the server in combination with input of characteristic parameter detection results, so that the solid waste products are automatically distributed, information in the database can be divided into dangerous wastes and general wastes according to pollution characteristics of the solid waste products, and the information is divided into municipal domestic wastes, industrial solid wastes and dangerous wastes according to a solid waste pollution environment prevention and control method.

According to the technical scheme, the matrix form is established as follows:

wherein, B is an index scale evaluation assignment matrix constructed by a certain criterion layer for lower indexes, a_nnAn assignment is made to the weight scale rating of an index.

According to the technical scheme, the maximum characteristic root of the corresponding matrix is calculated according to the following formula:

wherein, W is the characteristic vector corresponding to the index scale evaluation assignment matrix constructed by a certain criterion layer for the lower level index, n is the matrix order, W is_iAnd for the corresponding specific numerical value in the feature vector W, the lambda max is the maximum feature root corresponding to the index scale evaluation assignment matrix constructed by a certain criterion layer for the lower-level index.

According to the technical scheme, the CI value of the consistency index of the corresponding matrix is calculated according to the following formula:

wherein, CI is a certain matrix consistency index, n is a matrix order, and λ max is a maximum characteristic root of a corresponding matrix.

According to the above technical solution, the matrix RI value is calculated as follows (obtained by referring to the average random consistency index table):

according to the technical scheme, the matrix verification consistency coefficient CR value is calculated as follows:

wherein, CR is a matrix verification consistency coefficient, CI is a matrix consistency index, and RI is a matrix random consistency index value.

According to the technical scheme, a comprehensive energy efficiency evaluation model is adopted to calculate comprehensive energy efficiency index values:

wherein eta is the energy efficiency index value of the renewable polyethylene, and the net output of the ten-thousand-yuan comprehensive input; omega_iIs the corresponding index weight; v_c6The value of the modified particles of the primary product is calculated according to the output and the price, and is ten thousand yuan; v_cjAnd the economic quantification values of the indexes of energy input, resource input, economic output and environmental negative output in the criterion layer C are obtained according to the consumption or output and the corresponding unit price accounting, and the ten thousand yuan/t primary product is obtained.

According to the technical scheme, the weight equivalent value of economic output is as follows: v_{Economy of production}＝ω_B3×ω_c6×V_c6Wherein, V_{Economy of production}The weight equivalent value of economic output of single ton yield is ten thousand yuan/t product; omega_B3The economic output weight; omega_c6To modify particle yield weights; v_c6The product value is calculated by the unit price and the output of the product, and the cost is ten thousand yuan.

According to the technical scheme, the weight equivalent value of the environment negative output is as follows:

V_{negative environmental output}＝ω_B4×(ω_c7×V_c7+ω_c8×V_c8+ω_c9×V_c9)

Wherein, V_{Negative environmental output}Is the single ton outputThe environment negative output weight equivalent value, ten thousand yuan/t product; omega_iAre all corresponding weight values, ω_B4Is the environmental negative output weight, omega_c7、ω_c8、ω_c9The weight of the discharge of waste water, waste gas and solid waste in the negative output of the environment is weighted; v_iFor the waste of three wastes, V_c7、V_c8、V_c9Respectively the treatment consumption of waste water, waste gas and solid waste, ten thousand yuan per ton of product.

According to the technical scheme, the weight equivalent value of the energy input value is as follows:

V_{energy source}＝ω_B1×(ω_c1×V_c1+ω_c2×V_c2+ω_c3×V_c3)

Wherein, V_{Energy source}The weight equivalent value of the energy value of the single ton output input, ten thousand yuan/t product; omega_iAre all corresponding weight values, ω_B1Weight input for energy, omega_c1、ω_c2、ω_c3Weighting diesel oil consumption, electric power consumption and water consumption; v_iValue of input energy, V_c1、V_c2、V_c3The values of the diesel oil, the electric power and the water are ten thousand yuan.

According to the technical scheme, the weight equivalent value of the resource investment value is as follows: v_(Resource)＝ω_B2×(ω_c4×V_c4+ω_c5×V_c5)

Wherein, V_{Energy source}The weight equivalent value of the resource value of the single ton output investment, ten thousand yuan/t product; omega_iTo all correspond to the weight value, ω_B2Investing weight, omega, for resources_c4、ω_c5The weight is consumed for the reclaimed materials and the modified auxiliary agents; v_iTo put into resource value, V_c4、V_c5The values of the added reclaimed materials and the added modification auxiliary agents are ten thousand yuan.

According to the technical scheme, the energy efficiency index score value is calculated as follows:

wherein f (eta) is the energy efficiency index score value of the renewable plastic; eta is an energy efficiency evaluation index value of the evaluation object; eta max is the energy efficiency maximum value of a certain specified period related to the current evaluation value; η min is the energy efficiency minimum value of a certain specified period related to the current evaluation value.

According to the technical scheme, the index score value obtained by calculation is used for assignment according to different threshold value ranges, and the energy efficiency evaluation value S specifically comprises the following steps: when f (eta) is not less than 3 and not more than 4, the energy efficiency evaluation value S is 4; when f (eta) is less than or equal to 3 and is more than or equal to 2, the energy efficiency evaluation value S is 3; when f (eta) is less than or equal to 1 and less than 2, the energy efficiency evaluation value S is 2; and when f (eta) is less than or equal to 0, the energy efficiency evaluation value S is 1.

According to the technical scheme, the comprehensive energy efficiency level is divided into four classes, namely, high, general and poor, according to the conditions that S is 4, S is 3, S is 2 and S is 1, the corresponding level is one class to four classes.

According to the technical scheme, the big data analysis in the calculation process is used for judging and reading according to the existing calculation data, judging the normal range of the big data, determining the stable and unstable states of the big data, then carrying out curve drawing on the big data, determining the data line of each solid waste assessment, then calculating the big data, disclosing the big data and the pre-judgment data of later quota, and determining the development curve of the big data.

According to the technical scheme, data in the calculation process are normally stored, the data are reserved in a server and then stored, checking calculation is carried out on solid waste evaluation data every time, conversion is carried out when the solid waste garbage fluctuation value every time exceeds 5%, the data are backed up, 1-3 times of checking calculation is carried out through the server after the deviation of the data exceeds 5%, the data are marked and then transmitted to a foreground of the server to be displayed, the correctness of the data is determined, the data are stored for the second time, and the two times of data are not uniform; and after the data is maintained for the second time, the data is sorted and stored.

Compared with the prior art, the invention has the beneficial effects that: the plastic product solid waste evaluation method is scientific and reasonable in structure and safe and convenient to use, the evaluation indexes are established through calculation, the index weight scale evaluation matrix is established, the consistency of the matrix is verified, the index weights are obtained through matrix operation, the comprehensive energy efficiency evaluation calculation model is established according to the method, the comprehensive energy efficiency index values are obtained, the normalization method is adopted, the membership function is used for carrying out domain value normalization on the comprehensive energy efficiency values, the comprehensive energy efficiency index rating values are obtained through calculation, corresponding assignment is designated, the energy efficiency evaluation grades and the corresponding level grades are determined according to the index rating assignment, the characteristic parameter detection result is input, and the plastic product solid waste evaluation is realized through a large data platform in a background database server, so that whether the value of solid waste conversion still exists is determined. The method is convenient to operate, more convenient and automatic, and suitable for better popularization and use, the data is subjected to stable calculation and budget through the server and then is disclosed, the stability of solid waste evaluation calculation is ensured, then solid waste products are automatically distributed, and water in the solid waste is removed, so that the correctness of the data can be determined, then interpretation is performed according to the existing calculation data, the normal range of the data is interpreted, the stable and unstable states of the data are determined, and after the data is interpreted, the data is manually determined and finally stored, so that the stability and the correctness are improved.

Drawings

The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention.

In the drawings:

FIG. 1 is a schematic diagram of the process steps of the present invention.

Detailed Description

The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.

Example (b): as shown in fig. 1, the invention provides a technical solution, and a comprehensive energy efficiency assessment method for cross-environment renewable plastic particles, comprising the following steps:

s1, an operator firstly establishes an evaluation index system aiming at specific plastic material types, wherein the evaluation index system comprises 2 items of A-level criterion layer indexes, 4 items of B-level criterion layer indexes and 9 items of C-level criterion layer indexes, collects parameters for calculating the indexes, and pre-calculates the water content of garbage per unit mass.

S2, respectively setting the A, B, C three-level indexes established in S1 in the corresponding current level, respectively establishing a plurality of index weight scale comparison and evaluation groups, and implementing expert evaluation assignment on the index scales by utilizing the mutual importance comparison degree, wherein the scale assignment range is determined from 1 to 9, and the scale assignment is determined according to the importance of the index comparisons, the importance of the indexes, the obvious importance of the indexes, the strong importance of the indexes, the extreme importance of the indexes and the degrees between the importance and the degrees.

S3, establishing an assignment matrix for the assignment result of the weight scale comparison and evaluation group, and calculating the maximum characteristic root and the consistency index CI value of the constructed matrix.

And S4, combining the calculated result with the matrix RI value to obtain a matrix consistency coefficient CR value, and verifying the matrix consistency. The plastic product A, B, C evaluated is determined to evaluate the index weight value using the matrix eigenvector determination that passes consistency verification.

And S5, sorting the parameters and the weight values by using the comprehensive energy efficiency evaluation model established by the evaluation method, inputting the parameters and the weight values into a corresponding parameter table, and inputting the parameters and the weight values into a background server.

And S6, after receiving data input, the background calculates a comprehensive energy efficiency evaluation value according to the evaluation model, and simultaneously obtains the maximum comprehensive energy efficiency and the minimum comprehensive energy consumption according to model calculation by utilizing variable floating of a set evaluation time period.

And S7, performing domain value normalization on the comprehensive energy efficiency value by using a normalization method and a membership function, calculating to obtain a comprehensive energy efficiency index score value, and assigning a corresponding value.

And S8, according to the index score assignment, determining an energy efficiency evaluation grade and a corresponding level grade, and combining the input of the characteristic parameter detection result, and realizing the solid waste evaluation of the plastic products by using a large data platform in the background database server.

Through the process of S1 to S4, the index weight of the evaluation plastic species in the preferred example is determined:

in the preferred embodiment, the weight equivalent value V of economic output in the output of the criterion layer A is determined according to the above technical scheme_{Economy of production}＝ω_B3×ω_c6×V_c6. Wherein, V_{Economy of production}The weight equivalent value of economic output of single ton yield is ten thousand yuan/t product; omega_B3The economic output weight; omega_c6To modify particle yield weights; v_c6For the product value, the unit price and the output quantity of the product are calculated in ten thousand yuan; v_{Economy of production}＝ω_B3×ω_c6×V_c6＝ω_B3×ω_c6×1×V₆＝0.48×1×1×0.95，V_{Economy of production}0.456 ten thousand yuan/t product.

In the preferred embodiment, the weight equivalent value of the environmental negative output is calculated V according to the technical scheme_{Negative environmental output}＝ω_B4×(ω_c7×V_c7+ω_c8×V_c8+ω_c9×V_c9). Wherein, V_{Negative environmental output}The method is a single-ton yield environment negative output weight equivalent value, ten thousand yuan per t of product; omega_iTo all correspond to the weight value, ω_B4Is the environmental negative output weight, omega_c7、ω_c8、ω_c9The weight of the discharge of waste water, waste gas and solid waste in the negative output of the environment is weighted; v_iFor the waste of three wastes, V_c7、V_c8、V_c9Respectively processing waste water, waste gas and solid waste, ten thousand yuan per ton of product; v_{Negative environmental output}＝0.52×(0.08×0+0.16×0.000228+0.76×0.00228)，V_{Negative environmental output}0.0009 ten thousand yuan/t product.

In the preferred embodiment, the weight equivalent value of the energy input value is calculated V according to the technical scheme_{Energy source}＝ω_B1×(ω_c1×V_c1+ω_c2×V_c2+ω_c3×V_c3). Wherein, V_{Energy source}The weight equivalent value of the energy value of the single ton output input, ten thousand yuan/t product; omega_iTo all are correspondingWeight value, ω_B1Weight input for energy, omega_c1、ω_c2、ω_c3Weighting diesel oil consumption, electric power consumption and water consumption; v_iFor the value of the input energy, V_c1、V_c2、V_c3The values of the diesel oil, the electric power and the water are respectively ten thousand yuan; v_{Energy source}＝ω_B1×(ω_c1×M₁×10^-3×V₁+ω_c2×M₂×V₂+ω_c3×M₃×V₃)，V_{Energy source}＝0.81×(0.28×35.11×10^-3×0.54+0.65×402.21×9.8×10^-5+0.07×0.101×4.86×10^-4)，V_{Energy source}0.025 ten thousand yuan/t product.

In the preferred embodiment, the weight equivalent value of the resource investment value is calculated V according to the technical scheme_(Resource)＝ω_B2×(ω_c4×V_c4+ω_c5×V_c5). Wherein, V_{Energy source}The weight equivalent value of the resource value of the single ton output investment, ten thousand yuan/t product; omega_iTo all correspond to the weight value, ω_B2Investing weight, omega, for resources_c4、ω_c5The weight is consumed for the reclaimed materials and the modified auxiliary agents; v_iTo put into resource value, V_c4、V_c5Respectively representing the value of the added reclaimed material and the value of the added modification auxiliary agent in ten thousand yuan; v_(Resource)＝ω_B2×(ω_c4×M₄×V₄+ω_c5×V₅)，V_(Resource)＝0.19×(0.87×1.006×0.68+0.13×0.05)，V_(Resource)0.1143 ten thousand yuan/t product.

In the preferred embodiment, the energy efficiency estimation index value calculation η ═ ω is performed according to the above-described technical solution_A2×(V_{Economy of production}－V_{Negative environmental output})/ω_A1×(V_{Energy source}+V_(Resource))＝(0.456－0.0009)/(0.025+0.1143)，η＝3.267。

In the preferred embodiment, according to the above technical solution, the energy efficiency index score value is calculated as f (η):

f(η)＝1.48。

according to the technical scheme, the index scoring level and the corresponding assignment rule are defined according to the method, and the energy efficiency evaluation value S is 2.

Compared with the prior art, the invention has the beneficial effects that: the plastic product solid waste evaluation method is scientific and reasonable in structure and safe and convenient to use, the evaluation indexes are established through calculation, the index weight scale evaluation matrix is established, the consistency of the matrix is verified, the index weights are obtained through matrix operation, the comprehensive energy efficiency evaluation calculation model is established according to the method, the comprehensive energy efficiency index values are obtained, the normalization method is adopted, the membership function is used for carrying out domain value normalization on the comprehensive energy efficiency values, the comprehensive energy efficiency index rating values are obtained through calculation, corresponding assignment is designated, the energy efficiency evaluation grades and the corresponding level grades are determined according to the index rating assignment, the characteristic parameter detection result is input, and the plastic product solid waste evaluation is realized through a large data platform in a background database server, so that whether the value of solid waste conversion still exists is determined. The method is convenient to operate, more convenient and automatic, and suitable for better popularization and use, the data is subjected to stable calculation and budget through the server and then is disclosed, the stability of solid waste evaluation calculation is ensured, then solid waste products are automatically distributed, and water in the solid waste is removed, so that the correctness of the data can be determined, then interpretation is performed according to the existing calculation data, the normal range of the data is interpreted, the stable and unstable states of the data are determined, and after the data is interpreted, the data is manually determined and finally stored, so that the stability and the correctness are improved.

Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.