CN113408881A - Cross-border renewable plastic particle comprehensive energy efficiency assessment method - Google Patents
Cross-border renewable plastic particle comprehensive energy efficiency assessment method Download PDFInfo
- Publication number
- CN113408881A CN113408881A CN202110640989.2A CN202110640989A CN113408881A CN 113408881 A CN113408881 A CN 113408881A CN 202110640989 A CN202110640989 A CN 202110640989A CN 113408881 A CN113408881 A CN 113408881A
- Authority
- CN
- China
- Prior art keywords
- value
- evaluation
- energy efficiency
- index
- data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 229920003023 plastic Polymers 0.000 title claims abstract description 36
- 239000004033 plastic Substances 0.000 title claims abstract description 36
- 239000002245 particle Substances 0.000 title claims abstract description 23
- 238000000034 method Methods 0.000 title claims description 31
- 238000011156 evaluation Methods 0.000 claims abstract description 86
- 239000000463 material Substances 0.000 claims abstract description 10
- 239000011159 matrix material Substances 0.000 claims description 54
- 239000002910 solid waste Substances 0.000 claims description 48
- 238000004364 calculation method Methods 0.000 claims description 32
- 230000007613 environmental effect Effects 0.000 claims description 17
- 239000002699 waste material Substances 0.000 claims description 16
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 16
- 239000010813 municipal solid waste Substances 0.000 claims description 10
- 238000010606 normalization Methods 0.000 claims description 10
- 238000004519 manufacturing process Methods 0.000 claims description 9
- 238000013210 evaluation model Methods 0.000 claims description 8
- 239000002912 waste gas Substances 0.000 claims description 8
- 238000001514 detection method Methods 0.000 claims description 7
- 239000012752 auxiliary agent Substances 0.000 claims description 6
- 239000002283 diesel fuel Substances 0.000 claims description 6
- 239000002351 wastewater Substances 0.000 claims description 6
- 239000007787 solid Substances 0.000 claims description 5
- 238000012795 verification Methods 0.000 claims description 5
- 238000012986 modification Methods 0.000 claims description 4
- 230000004048 modification Effects 0.000 claims description 4
- 238000005265 energy consumption Methods 0.000 claims description 3
- 229920001659 Renewable Polyethylene Polymers 0.000 claims description 2
- 238000007405 data analysis Methods 0.000 claims description 2
- 238000011161 development Methods 0.000 claims description 2
- 230000002265 prevention Effects 0.000 claims description 2
- 238000011002 quantification Methods 0.000 claims description 2
- 239000006057 Non-nutritive feed additive Substances 0.000 claims 2
- 239000002920 hazardous waste Substances 0.000 claims 2
- 238000004065 wastewater treatment Methods 0.000 claims 2
- 238000010835 comparative analysis Methods 0.000 claims 1
- 238000009270 solid waste treatment Methods 0.000 claims 1
- HWKQNAWCHQMZHK-UHFFFAOYSA-N trolnitrate Chemical compound [O-][N+](=O)OCCN(CCO[N+]([O-])=O)CCO[N+]([O-])=O HWKQNAWCHQMZHK-UHFFFAOYSA-N 0.000 claims 1
- 229960002485 trolnitrate Drugs 0.000 claims 1
- 238000010200 validation analysis Methods 0.000 claims 1
- 238000006243 chemical reaction Methods 0.000 description 5
- 241000282414 Homo sapiens Species 0.000 description 2
- 241001465754 Metazoa Species 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000012821 model calculation Methods 0.000 description 2
- 239000002253 acid Substances 0.000 description 1
- 239000003513 alkali Substances 0.000 description 1
- 230000002950 deficient Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 239000010791 domestic waste Substances 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 210000003608 fece Anatomy 0.000 description 1
- 239000007788 liquid Substances 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 239000002893 slag Substances 0.000 description 1
- 239000010802 sludge Substances 0.000 description 1
- 241000894007 species Species 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 239000010888 waste organic solvent Substances 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/16—Matrix or vector computation, e.g. matrix-matrix or matrix-vector multiplication, matrix factorization
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/80—Management or planning
- Y02P90/82—Energy audits or management systems therefor
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Development Economics (AREA)
- General Physics & Mathematics (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- Theoretical Computer Science (AREA)
- Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Finance (AREA)
- Data Mining & Analysis (AREA)
- Marketing (AREA)
- Accounting & Taxation (AREA)
- General Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Educational Administration (AREA)
- Mathematical Physics (AREA)
- Game Theory and Decision Science (AREA)
- Computational Mathematics (AREA)
- Pure & Applied Mathematics (AREA)
- Mathematical Optimization (AREA)
- Mathematical Analysis (AREA)
- Operations Research (AREA)
- Computing Systems (AREA)
- Primary Health Care (AREA)
- General Health & Medical Sciences (AREA)
- Quality & Reliability (AREA)
- Health & Medical Sciences (AREA)
- Algebra (AREA)
- Databases & Information Systems (AREA)
- Software Systems (AREA)
- General Engineering & Computer Science (AREA)
- Processing Of Solid Wastes (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a comprehensive energy efficiency evaluation method for cross-environment renewable plastic particles, which comprises the following steps: s1, an operator firstly establishes an evaluation index system aiming at specific plastic material types, wherein the evaluation index system respectively comprises 2 items of A-level criterion layer indexes, 4 items of B-level criterion layer indexes, 9 items of C-level criterion layer indexes, S2, A, B established in S1, and C, respectively establishing a plurality of index weight scale comparison and evaluation groups in the corresponding level indexes, and implementing expert evaluation and assignment on the index scales by utilizing the degree of importance comparison among the indexes, wherein the scale assignment range is determined from 1-9, and the scale assignment is as important as, slightly important as, obviously important as, strongly important as well as extremely important according to the index comparison and the degree among the degrees.
Description
Technical Field
The invention relates to the technical field of solid waste evaluation, in particular to a comprehensive energy efficiency evaluation method for cross-environment renewable plastic particles.
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, annAn 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 isiAnd 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; omegaiIs the corresponding index weight; vc6The value of the modified particles of the primary product is calculated according to the output and the price, and is ten thousand yuan; vcjAnd 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: vEconomy of production＝ωB3×ωc6×Vc6Wherein, VEconomy of productionThe weight equivalent value of economic output of single ton yield is ten thousand yuan/t product; omegaB3The economic output weight; omegac6To modify particle yield weights; vc6The 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:
Vnegative environmental output＝ωB4×(ωc7×Vc7+ωc8×Vc8+ωc9×Vc9)
Wherein, VNegative environmental outputIs the single ton outputThe environment negative output weight equivalent value, ten thousand yuan/t product; omegaiAre all corresponding weight values, ωB4Is the environmental negative output weight, omegac7、ωc8、ωc9The weight of the discharge of waste water, waste gas and solid waste in the negative output of the environment is weighted; viFor the waste of three wastes, Vc7、Vc8、Vc9Respectively 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:
Venergy source＝ωB1×(ωc1×Vc1+ωc2×Vc2+ωc3×Vc3)
Wherein, VEnergy sourceThe weight equivalent value of the energy value of the single ton output input, ten thousand yuan/t product; omegaiAre all corresponding weight values, ωB1Weight input for energy, omegac1、ωc2、ωc3Weighting diesel oil consumption, electric power consumption and water consumption; viValue of input energy, Vc1、Vc2、Vc3The 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)＝ωB2×(ωc4×Vc4+ωc5×Vc5)
Wherein, VEnergy sourceThe weight equivalent value of the resource value of the single ton output investment, ten thousand yuan/t product; omegaiTo all correspond to the weight value, ωB2Investing weight, omega, for resourcesc4、ωc5The weight is consumed for the reclaimed materials and the modified auxiliary agents; viTo put into resource value, Vc4、Vc5The 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 schemeEconomy of production＝ωB3×ωc6×Vc6. Wherein, VEconomy of productionThe weight equivalent value of economic output of single ton yield is ten thousand yuan/t product; omegaB3The economic output weight; omegac6To modify particle yield weights; vc6For the product value, the unit price and the output quantity of the product are calculated in ten thousand yuan; vEconomy of production＝ωB3×ωc6×Vc6＝ωB3×ωc6×1×V6＝0.48×1×1×0.95，VEconomy of production0.456 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 schemeNegative environmental output＝ωB4×(ωc7×Vc7+ωc8×Vc8+ωc9×Vc9). Wherein, VNegative environmental outputThe method is a single-ton yield environment negative output weight equivalent value, ten thousand yuan per t of product; omegaiTo all correspond to the weight value, ωB4Is the environmental negative output weight, omegac7、ωc8、ωc9The weight of the discharge of waste water, waste gas and solid waste in the negative output of the environment is weighted; viFor the waste of three wastes, Vc7、Vc8、Vc9Respectively processing waste water, waste gas and solid waste, ten thousand yuan per ton of product; vNegative environmental output＝0.52×(0.08×0+0.16×0.000228+0.76×0.00228)，VNegative environmental output0.0009 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 schemeEnergy source＝ωB1×(ωc1×Vc1+ωc2×Vc2+ωc3×Vc3). Wherein, VEnergy sourceThe weight equivalent value of the energy value of the single ton output input, ten thousand yuan/t product; omegaiTo all are correspondingWeight value, ωB1Weight input for energy, omegac1、ωc2、ωc3Weighting diesel oil consumption, electric power consumption and water consumption; viFor the value of the input energy, Vc1、Vc2、Vc3The values of the diesel oil, the electric power and the water are respectively ten thousand yuan; vEnergy source＝ωB1×(ωc1×M1×10-3×V1+ωc2×M2×V2+ωc3×M3×V3)，VEnergy 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)，VEnergy source0.025 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)＝ωB2×(ωc4×Vc4+ωc5×Vc5). Wherein, VEnergy sourceThe weight equivalent value of the resource value of the single ton output investment, ten thousand yuan/t product; omegaiTo all correspond to the weight value, ωB2Investing weight, omega, for resourcesc4、ωc5The weight is consumed for the reclaimed materials and the modified auxiliary agents; viTo put into resource value, Vc4、Vc5Respectively representing the value of the added reclaimed material and the value of the added modification auxiliary agent in ten thousand yuan; v(Resource)＝ωB2×(ωc4×M4×V4+ωc5×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 solutionA2×(VEconomy of production－VNegative environmental output)/ωA1×(VEnergy 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.
Claims (10)
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, annAn 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 isiFor 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; omegaiIs the corresponding index weight; vc6The value of the modified particles of the primary product is calculated according to the output and the price, and is ten thousand yuan; vcjAs 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: vEconomy of production＝ωB3×ωc6×Vc6
Wherein, VEconomy of productionThe weight equivalent value of economic output of single ton yield is ten thousand yuan/t product; omegaB3The economic output weight; omegac6To modify particle yield weights; vc6For 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:
Vnegative environmental output＝ωB4×(ωc7×Vc7+ωc8×Vc8+ωc9×Vc9)
Wherein, VNegative environmental outputThe method is a single-ton yield environment negative output weight equivalent value, ten thousand yuan per t of product; omegaiAre all corresponding weight values, ωB4Is the environmental negative output weight, omegac7、ωc8、ωc9The weight of the discharge of waste water, waste gas and solid waste in the negative output of the environment is weighted; viFor the waste of three wastes, Vc7、Vc8、Vc9Respectively 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:
Venergy source＝ωB1×(ωc1×Vc1+ωc2×Vc2+ωc3×Vc3)
Wherein, VEnergy sourceThe weight equivalent value of the energy value of the single ton output input, ten thousand yuan/t product; omegaiAre all corresponding weight values, ωB1Weight input for energy, omegac1、ωc2、ωc3Is diesel oilConsumption, power consumption, water consumption weight; viValue of input energy, Vc1、Vc2、Vc3The 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)＝ωB2×(ωc4×Vc4+ωc5×Vc5)
Wherein, VEnergy sourceThe weight equivalent value of the resource value of the single ton output investment, ten thousand yuan/t product; omegaiTo all correspond to the weight value, ωB2Investing weight, omega, for resourcesc4、ωc5The weight is consumed for the reclaimed materials and the modified auxiliary agents; viTo put into resource value, Vc4、Vc5The 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.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110640989.2A CN113408881A (en) | 2021-06-09 | 2021-06-09 | Cross-border renewable plastic particle comprehensive energy efficiency assessment method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110640989.2A CN113408881A (en) | 2021-06-09 | 2021-06-09 | Cross-border renewable plastic particle comprehensive energy efficiency assessment method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113408881A true CN113408881A (en) | 2021-09-17 |
Family
ID=77683256
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110640989.2A Pending CN113408881A (en) | 2021-06-09 | 2021-06-09 | Cross-border renewable plastic particle comprehensive energy efficiency assessment method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113408881A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117077983A (en) * | 2023-10-16 | 2023-11-17 | 南通瑞童塑业科技有限公司 | Plastic product remanufacturing processing method and system based on Internet of things |
-
2021
- 2021-06-09 CN CN202110640989.2A patent/CN113408881A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117077983A (en) * | 2023-10-16 | 2023-11-17 | 南通瑞童塑业科技有限公司 | Plastic product remanufacturing processing method and system based on Internet of things |
| CN117077983B (en) * | 2023-10-16 | 2023-12-22 | 南通瑞童塑业科技有限公司 | Plastic product remanufacturing processing method and system based on Internet of things |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105590175A (en) | Skilled talent evaluation method based on factor analysis and BP neural networks | |
| Blumberga et al. | Dynamic modelling of a collection scheme of waste portable batteries for ecological and economic sustainability | |
| CN107330573B (en) | State evaluation method and device for photovoltaic system key equipment | |
| CN113408881A (en) | Cross-border renewable plastic particle comprehensive energy efficiency assessment method | |
| Geetha et al. | Academic Staff Selection using Graph Theory Matrix Approach | |
| Husin | THE SUBCONTRACTOR SELECTION PRACTICE USING ANN-MULTILAYER. | |
| Liu et al. | Quality assessment of post-consumer plastic bottles with joint entropy method: A case study in Beijing, China | |
| CN103942604A (en) | Prediction method and system based on forest discrimination model | |
| CN114757392A (en) | Power grid system comprehensive evaluation index system optimization method based on game weight method | |
| CN113850516A (en) | Water quality evaluation method based on T-S fuzzy neural network | |
| Karimi et al. | Using the fuzzy grey relational analysis method in wastewater treatment process selection | |
| Chapman et al. | Evaluating the risks of solid waste management programs: A suggested approach | |
| CN110826917A (en) | Construction waste recycling mode fuzzy evaluation method | |
| CN116436080A (en) | Comprehensive evaluation method and system for participating in power grid regulation and control by flexible resource clusters | |
| CN115640937A (en) | Garbage classification index evaluation method and device, electronic equipment and storage medium | |
| Nippraschk et al. | The impact of Information Flow in the Circular Economy of Lithium-Ion-Batteries and how to measure it | |
| CN113327047B (en) | Power marketing service channel decision method and system based on fuzzy comprehensive model | |
| Wang et al. | Research on availability model of two-dimensional warranty products based on incomplete maintenance | |
| CN112184076A (en) | Energy internet clean low-carbon development index system | |
| CN114049043A (en) | New energy consumption evaluation method and device, terminal and storage medium | |
| Joel et al. | Application of Analytic Hierarchy Process Decision Model for Solid Waste Management Strategy in Yaoundé, Cameroon | |
| Chen et al. | OPTIMIZING HOUSEHOLD WASTE COLLECTION THROUGH AHP-MEA MODEL: CASE STUDY OF KUNMING, CHINA. | |
| Wibowo et al. | Evaluating the performance of e-waste recycling programs using fuzzy multiattribute group decision making model | |
| Abouhawwash et al. | Single Valued Neutrosophic Set with Multi-Criteria Decision Making Methodology for Wind Turbine Development | |
| Sha et al. | Research on full cycle evaluation of power grid projects based on rough set-multilevel extension theory |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20230615 Address after: No.39 Chuangzhi Road, Jianye District, Nanjing City, Jiangsu Province, 210000 Applicant after: Nanjing Customs industrial product testing center Address before: No.39 Chuangzhi Road, Jianye District, Nanjing City, Jiangsu Province, 210000 Applicant before: Nanjing Customs industrial product testing center Applicant before: JIANGSU ACADEMY OF SCIENCE AND TECHNOLOGY FOR INSPECTION AND QUARANTINE |
|
| TA01 | Transfer of patent application right |