CN110472341A - A kind of green composite evaluation method for marine diesel components manufacturing process - Google Patents

A kind of green composite evaluation method for marine diesel components manufacturing process Download PDF

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CN110472341A
CN110472341A CN201910760408.1A CN201910760408A CN110472341A CN 110472341 A CN110472341 A CN 110472341A CN 201910760408 A CN201910760408 A CN 201910760408A CN 110472341 A CN110472341 A CN 110472341A
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CN110472341B (en
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雷琦
宋豫川
冯岩捷
杨瑾
郭伟飞
吕向飞
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Chongqing University
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Abstract

The invention discloses a kind of green composite evaluation methods for marine diesel components manufacturing process, and according to the weight information of multiple evaluation indexes of user's selection, the automatic normalized for carrying out index weights obtains evaluation criterion weight;A variety of Green Evaluations to be processed of target part are calculated using different evaluation algorithm as a result, determining the weight of Green Evaluation result to be processed in turn, generate green composite evaluation result.The present invention is for existing multiple index evaluation method in marine diesel components manufacturing using existing difficult point and limitation, based on blue target, marine diesel components manufacturing enterprise is solved during carrying out Green Evaluation, the problems such as process very complicated, evaluation index rigidity and limitation, data limitation, algorithms of different result difference.

Description

A kind of green composite evaluation method for marine diesel components manufacturing process
Technical field
The present invention relates to the green composites for marine diesel components manufacturing process to evaluate field, and in particular to a kind of For the green composite evaluation method of marine diesel components manufacturing process.
Background technique
With the popularization and application of multiple index evaluation method, the green composite evaluation for carrying out manufacturing process to manufacturing enterprise becomes The important means of enterprise implement green manufacturing.
But multiple index evaluation method is in the manufacturing process Green Evaluation of marine diesel components manufacturing enterprise at present There is also many difficult points and limitations.
The analytic process very complicated of evaluation, requires the integrality of range of value, therefore for commenting during evaluation All evaluation phases of valence product are related to multiple unit processes or multiple components, need design, technique, management, information etc. more A department employs personnel and spends time, expense more, enterprise implement difficulty is big even more than the cooperation of enterprise.
The index of evaluation is many kinds of, some can be quantized, some be it is fuzzy, how to carry out different classes of finger The weight of target integrated configuration and reasonable distribution difference index, keeps final result more accurate, needs to establish huge data Library, human cost and time cost are all very high.
Traditional evaluation index is flexible not enough, and limitation is also very big.The assessment indicator system of traditional multi-objective assessment method It is conceived to product systems to global, regional or local influence, these evaluation indexes are more suitable for green department or political affairs The decision of mansion department, enterprise can not can be visually seen with number one relevant information, influence enterprise implement enthusiasm.
Since the selection of evaluation method is different, evaluation result be would also vary from, because every kind of tax power method considers a problem Emphasis it is all different, in weight calculation all have certain advantage and defect, the corresponding scope of application there is also compared with Big difference.In order to eliminate the otherness as brought by method difference, makes evaluation result that there is universality, need to consider to this A little results carry out overall merit.
Based on effectively evaluating needs a large amount of data, currently, although the evaluation software of some foreign countries has collected greatly Data resource is measured, but is essentially all the industrial data of the developed countries such as America and Europe, the technology water of developing country can not be represented It is flat.Simultaneously as material consumption, energy consumption, the basic datas such as environment attribute of discharge are different, commented using external data Valence acquired results are difficult to meet China's national situation.In addition, evaluation software spininess evaluates existing product, to carry out data Acquisition, lacks certain feedback mechanism.
Currently, evaluation method only focuses on influence of all stage to environment of product systems mostly, less consideration was produced Mutual green in journey between each stage influences, and has certain limitation to the optimization analysis of scheme.
Summary of the invention
For existing multiple index evaluation method at home marine diesel components manufacturing using existing difficult point And limitation, the object of the present invention is to provide a kind of machining product multi objective green composite evaluation methods, based on green mesh Mark solves enterprise when the manufacturing process to marine diesel components is evaluated, process very complicated, evaluation index type The problems such as various, index rigidity and limitation, data limitation, result difference.
Present invention employs the following technical solutions:
A kind of green composite evaluation method for marine diesel components manufacturing process, according to the multiple of user's selection The weight information of evaluation index, the automatic normalized for carrying out index weights, obtains evaluation criterion weight;Using different evaluation A variety of Green Evaluations to be processed of target part are calculated as a result, determining the power of Green Evaluation result to be processed in turn in algorithm Weight generates green composite evaluation result.
Preferably, comprising:
S1, it determines target part, if there are case library supports for target part, generates green composite evaluation result, otherwise, Execute step S2;
S2, the evaluation index that target part is determined based on target part form assessment indicator system inventory;
S3, evaluation points are obtained based on assessment indicator system inventory, calculates being subordinate to for each evaluation index based on evaluation points Degree;
S4, the weight information for obtaining each evaluation index, and weight information is normalized to obtain evaluation index power Weight;
S5, multiple Green Evaluation results to be processed are calculated using many algorithms;
S6, the weight for determining each Green Evaluation result to be processed, based on institute Green Evaluation result and its weight to be handled Generate green composite evaluation result;
S7, corresponding result explanation is generated based on green composite evaluation result.
Preferably, step S1 includes:
Determine target part, if having the corresponding green composite evaluation result information of target part in evaluation example library, It calls green composite evaluation result information as green composite evaluation result, otherwise, executes step S2.
Preferably, step S2 includes:
User's evaluation demand information and/or evaluation index library information are obtained, user's evaluation demand information and/or evaluation are based on Index storehouse information determines the corresponding evaluation index of target part and forms assessment indicator system inventory.
Preferably, step S3 includes:
The corresponding evaluation points of assessment indicator system inventory are obtained from historic survey data, or are acquired and evaluated from workshop The corresponding data of index system inventory form evaluation points;
Data processing is carried out to each evaluation points by preset algorithm, the degree of membership of each evaluation index is calculated.
Preferably, step S4 includes:
The weight information of evaluation index is obtained from weight accumulation evaluation example library, or determines in algorithms library and obtains from weight Corresponding algorithm is taken to calculate weight information;
All weight informations are normalized after modification weight information, by uniformly expanding or shrinking ratio, are made The sum of weight is 1, obtains evaluation criterion weight.
Preferably, step S5 includes:
Many algorithms are selected from evaluation algorithms library;
Degree of membership and corresponding evaluation criterion weight based on each evaluation index calculate separately out one kind using every kind of algorithm Green Evaluation result to be processed.
Preferably, further includes:
S8, green composite evaluation result is stored into evaluation example library.
Compared to existing method, the invention has the following beneficial effects:
(1) in terms of evaluation procedure, the present invention is the entire system to marine diesel components in actual evaluation work The process of making has Green Evaluation demand, and continuous evaluation procedure can increase the reliability of data, can also be corresponding Green design work Tool collection provides assessment and supports, is bonded reality and enterprise demand.
(2) in terms of evaluation index, the present invention is by evaluating purpose to the enterprise practical that meets that the research of each stage is established Appraisement system, for different product, evaluation emphasis is different, the index system of selection also Ying Butong.For specific product, The appraisement system of complete set often will appear the phenomenon that index redundancy or missing, while when the current exploitation of evaluation software mostly all It is to be developed based on fixed service process, evaluation system cannot carry out dynamic adjustment with the variation of evaluation demand.If User's evaluation demand can just be held at evaluation initial stage, realize the configurable of index system, then can effectively solve index system rigidity, The problem of solidification, makes appraisal have more specific aim, and practicability and the flexibility of evaluation software greatly enhance, to appraisal Development brings huge advantage.
(3) in terms of Weight algorithm, to avoid index as far as possible superfluous by modifying (add or delete) weight information by the present invention Then the problem of remaining or missing, is normalized the weight of obtained different indexs, by uniformly expanding or shrinking Certain proportion, making the sum of weight is 1.Because any tax power algorithm has its superiority-inferiority and the scope of application, to most subjective weights For method, it is strong to assign power process subjectivity, and height is required to rating staff, operability is weak;For objective weighted model, excessively Dependent on factual data, often ignore the subjective intention of policymaker.In order to reduce algorithm errors and the weak problem of operability, The present invention is determined by the Weights Example that authoritative weight accumulates in evaluation example library to carry out weight.If in evaluation example library There is no weight correlative factor score value or user dissatisfied to weight is recommended, then can carry out Weight algorithm and determine, this method provides more The tax power algorithm of sample and its corresponding advantage and disadvantage introduction, user can carry out algorithms selection according to demand and determine, complete weight and determine.
(4) in terms of evaluation method, reasonability and science of the mass data library provided by the invention for evaluation result Important in inhibiting, meanwhile, the weight of different evaluation algorithm is determined according to database, and obtained multiple greens to be processed are commented Valence result is weighted processing, obtains final green composite evaluation result, can also eliminate as brought by method difference Otherness.
Detailed description of the invention
In order to keep the purposes, technical schemes and advantages of invention clearer, the present invention is made into one below in conjunction with attached drawing The detailed description of step, in which:
Fig. 1 is a kind of green composite evaluation method for marine diesel components manufacturing process disclosed by the invention Flow chart;
Fig. 2 is marine diesel components manufacturing process Green Index System figure.
Specific embodiment
The present invention is described in further detail with reference to the accompanying drawing.
As shown in Figures 1 and 2, the invention discloses a kind of green composites for marine diesel components manufacturing process Evaluation method, which is characterized in that automatic to carry out returning for index weights according to the weight information of multiple evaluation indexes of user's selection One change processing, obtains evaluation criterion weight;It is commented using a variety of greens to be processed that target part is calculated in different evaluation algorithm Valence generates green composite evaluation result as a result, determine the weight of Green Evaluation result to be processed in turn.
When it is implemented, including:
S1, it determines target part, if there are case library supports for target part, generates green composite evaluation result, otherwise, Execute step S2;
S2, the evaluation index that target part is determined based on target part form assessment indicator system inventory;
S3, evaluation points are obtained based on assessment indicator system inventory, calculates being subordinate to for each evaluation index based on evaluation points Degree;
S4, the weight information for obtaining each evaluation index, and weight information is normalized to obtain evaluation index power Weight;
S5, multiple Green Evaluation results to be processed are calculated using many algorithms;
S6, the weight for determining each Green Evaluation result to be processed, based on institute Green Evaluation result and its weight to be handled Generate green composite evaluation result;
In terms of evaluation algorithms, a large amount of evaluation algorithms libraries provided by the invention have the reasonability of evaluation result with science Significance, by rational knowledge and hold the advantage and disadvantage of each algorithm, determined not according to evaluation example library and evaluation algorithms library With the weight of evaluation algorithms, processing is weighted to obtained multiple Green Evaluation results to be processed, obtains final green Comprehensive evaluation result, thus eliminate carry out marine diesel components manufacturing process multi objective green composite evaluation when due to The different advantage and disadvantage of each algorithm and bring otherness, keep evaluation result more accurate.
S7, corresponding result explanation is generated based on green composite evaluation result.
Enter the evaluation result interpretation procedure after the evaluation of marine diesel components green composite, in overall merit knot Result explanation and optimization analysis are carried out on the basis of fruit, while evaluation result being stored in evaluation example library after permission is ratified.
For meeting the evaluation of programme and evaluation result of green requirement, related data (such as degree of membership of evaluation procedure Or weight information), it can be stored in evaluation example library, after administrative staff audit for the green composite evaluation of same type part backward Reference frame is provided.
The present invention is a kind of multi objective green composite evaluation method, is manufactured by one kind for marine diesel components The green composite evaluation method of journey and multiple mating database sharings are a kind of for marine diesel components manufacturing process Multi objective green composite appraisement system.In the present invention, multi objective refers to green to the progress of marine diesel components manufacturing process When color overall merit, according to multiple evaluation indexes that user selects, the automatic normalized for carrying out index weights passes through unification Certain proportion is expanded or shunk, making the sum of weight is 1;Overall merit, which refers to, ties the obtained evaluation of the different evaluation algorithm of selection Fruit is weighted processing, finally obtains comprehensive evaluation result.Integrated evaluating method includes that evaluation product is determining, evaluation index is true Fixed, evaluation points input and the determination of index degree of membership, index weights determination, evaluation algorithms selection, overall merit, evaluation result solution Release seven big steps.Compared with prior art, the present invention is based on blue target, solve marine diesel components manufacturing enterprise into During row Green Evaluation, process very complicated, evaluation index rigidity and limitation, data limitation, algorithms of different result are poor The problems such as anisotropic.
The present invention is being directed to ship using the green composite evaluation method building for marine diesel components manufacturing process When with the multi objective green composite appraisement system of parts and components of diesel engine manufacturing process, need multiple mating databases for assisting, Platform database includes product example library, evaluation example library, evaluation index library, green achievement data library and evaluation algorithms library. Data required for being provided in green composite evaluation procedure, case and algorithm etc., while receiving evaluation result and meeting green It is required that weighted data and the evaluation information such as case.Each supporting database is described in detail below:
1. product example library
Product example library is marine diesel components essential information library, including product material, product parameters, Product Process The information such as route and product parts model.Product example library is provided and is integrated by technique department, enterprise.
2. evaluation example library
Evaluation example library is the application by constantly carrying out green composite evaluation method, the evaluation to green requirement is met Case effectively believes the index weights of its evaluation procedure, degree of membership and evaluation result etc. after the audit of related management personnel Breath deposit evaluation example library provides data reference for the evaluation of subsequent green composite, and evaluation example library is one and constantly accumulates, constantly Abundant and perfect process.
3. evaluation index library
Evaluation index library is the assessment indicator system established for marine diesel components, and product is broadly divided into shaft sleeve Part (camshaft, crankshaft, bushing and cylinder sleeve etc.), wheel disk-like accessory (gear, end cap and impeller etc.), crotch class part (piston Bar and blower tray etc.) and box parts (shell and cylinder body etc.).For same class part, index system has stronger general Property, therefore by analyzing all kinds of part manufacturing processes, a set of more complete assessment indicator system is established, evaluation is formed and refers to Mark library.
4. green achievement data library
Green achievement data library is constantly acquired by Workshop manufacturing process green achievement data, constantly expansion shape At platform green achievement data library, the resource consumption data including enterprise manufacturing process, energy consumption data, waste gas and waste liquid are cut Cutting the equal environment such as emissions datas and noise influences data.
Marine diesel components manufacturing process Green Index System is referring to fig. 2
5. evaluation algorithms library
Evaluation algorithms library mainly includes tax power algorithms library, subordinating degree function algorithms library, evaluation method library in evaluation procedure And each evaluation algorithms compare superiority and inferiority information, for selection by the user rationally, effectively evaluating algorithm.Commonly evaluation algorithms include Expert graded, analytic hierarchy process (AHP), method of characteristic, BP neural network method, VC Method, dispersion method, TOPSIS method with And fuzzy comprehensive evaluation method.
Common evaluation algorithms comparison superiority and inferiority table is referring to table 1
Table 1
When it is implemented, step S1 includes:
Determine target part, if having the corresponding green composite evaluation result information of target part in evaluation example library, It calls green composite evaluation result information as green composite evaluation result, otherwise, executes step S2.
Evaluation object is wanted using this method determination first, i.e., selects to be evaluated diesel engine zero from product example library Part.
Then determine whether to continue Green Evaluation by the inquiry to evaluation example library, if it exists example, then according to example Evaluation points source, weight evaluation amount source and determine whether to continue to evaluate using information such as algorithms in information, if user couple The source of example score value and algorithm are satisfied (at this time, then it is assumed that in evaluation example library there is the corresponding green composite of target part to comment Valence result information) then it is added directly to Integrative Assessment file, obtain manufacturing process green composite evaluation result;Example if it does not exist Or it is dissatisfied to example score value, then enter evaluation index and determines.
When it is implemented, step S2 includes:
User's evaluation demand information and/or evaluation index library information are obtained, user's evaluation demand information and/or evaluation are based on Index storehouse information determines the corresponding evaluation index of target part and forms assessment indicator system inventory.
The present invention proposes part family concept to marine diesel components, using design feature as partitioning standards, by product point For different part families.For same class part family, assessment indicator system has very strong versatility, typical to all kinds of part families Product is researched and analysed, and a set of more complete corresponding assessment indicator system is established, for same class part family product then The determination that under the index system index progress additions and deletions can be completed with evaluation index need to only be selected.In combination with all kinds of part families The assessment indicator system established forms the evaluation index library of system.It in this way can be to avoid different types of marine diesel zero Component is right brought by the influence difference to resource, ecological environment, human health etc. due to the realization of its function, the difference of structure The negative effect of evaluation result.
In the present invention, user can carry out additions and deletions to evaluation index according to evaluation demand, form jointing product, meet reality The assessment indicator system of application realizes the configurable of index, while generating customization assessment indicator system inventory, be subsequent evaluation because Sub- collecting work is provided according to carrier.
When it is implemented, step S3 includes:
The corresponding evaluation points of assessment indicator system inventory are obtained from historic survey data, or are acquired and evaluated from workshop The corresponding data of index system inventory form evaluation points;
Data processing is carried out to each evaluation points by preset algorithm, the degree of membership of each evaluation index is calculated.
Evaluation points information is inputted, can be obtained from the green achievement data library that existing research achievement or workshop manufacturing process acquire It takes, sequentially inputs the corresponding evaluation points value of each components according to associated evaluation index.Then pass through expert graded, person in servitude Category degree function and evaluation example library carry out data processing by selection algorithm to the evaluation points of input, form jdgement matrix, really The degree of membership of fixed each evaluation index.
When it is implemented, step S4 includes:
The weight information of evaluation index is obtained from weight accumulation evaluation example library, or determines in algorithms library and obtains from weight Corresponding algorithm is taken to calculate weight information;
All weight informations are normalized after modification (add or delete) weight information, expanded by unified or Diminution ratio, making the sum of weight is 1, obtains evaluation criterion weight.
Index weights determine that step is divided into history and weight and Weight algorithm is recommended to determine two parts.
Tax power process is related to a large amount of subjective datas, and defect is inevitable for Weight algorithm.It is beaten according to expert The mode divided assigns power evaluation, complex steps and heavy workload.In order to reduce algorithm errors and the weak problem of operability, the present invention Weight method is recommended to determine to carry out weight using history, core is to establish that there is authoritative weight to accumulate evaluation example Library, user can be carried out weight by the Weights Example in evaluation example library and determined.Weight algorithm determines.If in evaluation example library There is no weight correlative factor score value or user dissatisfied to weight is recommended, then can carry out Weight algorithm and determine, this method provides power Algorithms library is determined again, and the tax power algorithm and its corresponding advantage and disadvantage introduction, user for providing multiplicity can carry out algorithms selection according to demand It determines, completes weight and determine.
When it is implemented, step S5 includes:
Many algorithms are selected from evaluation algorithms library;
Degree of membership and corresponding evaluation criterion weight based on each evaluation index calculate separately out one kind using every kind of algorithm Green Evaluation result to be processed.
In order to it is more objective, accurately marine diesel components manufacturing process is evaluated, it is necessary to be directed to inhomogeneity Type product establishes a kind of feasible, stable structure evaluation method.The foundation in evaluation algorithms library facilitates right in evaluation procedure Different evaluation objects customizes suitable technical method, guarantees the science and reasonability of evaluation result with this.
When user carries out evaluation algorithms selection, system provides proposed algorithm information such as algorithmic rule and algorithm examples, if choosing System recommendation algorithm is selected, then the algorithm is directly applied, if not selecting system recommendation algorithm, on the basis of system evaluation algorithms library Upper progress evaluation algorithms customization, evaluation algorithms library mainly include evaluation algorithms information and each algorithm superiority and inferiority comparative information, Yong Hugen Suitable evaluation algorithms are determined according to information above.
As a kind of integrated evaluating method, the present invention supports a variety of evaluation algorithms of user's simultaneous selection, obtains multiple wait locate Manage Green Evaluation result.
When it is implemented, further include:
S8, green composite evaluation result is stored into evaluation example library.
It is illustrated by technical effect of the following instance to method disclosed by the invention:
It is evaluated for certain compression impellor manufacturing process, by the evaluation result of analytic hierarchy process (AHP) and of the present invention comprehensive The evaluation result for closing evaluation method compares, it was demonstrated that the accuracy and superiority of this integrated evaluating method.
Three kinds of common evaluation methods used in example are analytic hierarchy process (AHP) (AHP), Grey Comprehensive Evaluation Method respectively and approach reason Think a method (TOPSIS method).
Based on the collected compression impellor manufacturing process green achievement data in certain workshop, to the green of its manufacturing process into Row evaluation.
By the inventory analysis data tracing to certain each process of compression impellor manufacturing process, its manufacturing process green is formed Achievement data acquisition tables.Since collected data character difference dimension is different, and there are qualitative description, cause bottom index because Son can not directly compare, therefore carry out data processings and the degree of membership meters such as nondimensionalization firstly the need of to collected achievement data It calculates.
For Resource Properties, raw materials consumption is quantitative target, its green can be measured with stock utilization, is utilized Rate is higher, and green degree is better;In auxiliary material consumption, cutter consumption is qualitative index, (will by formulating Pyatyi evaluation table Achievement data is divided into five grades, scoring is respectively 1.0,0.75,0.5,0.25,0) it is consumed and is evaluated, cutting fluid disappears Consumption equally consumes it using Pyatyi evaluation table and evaluates.
For energy attribute, energy consumption is mainly electric energy consumed by lathe is run, and power consumption is quantitative target, Each process power consumption values are done into normalized as its evaluation of estimate.
For environment attribute, chip has recuperability, therefore does not consider its pollution;Exhaust emission is mainly dust and stimulation Property gas, collected index is qualitative index, therefore is evaluated it using Pyatyi grade form;Waste liquor contamination is mainly cutting fluid Discharge, is equally qualitative index, is evaluated using Pyatyi grade form it;Noise Acquisition is quantified by what decibel instrument measurement obtained Index must not exceed 90db according to " industrial enterprise's noise sanitary standard " noise, in conjunction with collected noise data, be quantified Subordinating degree function is provided that
For security attribute, it is poor to operate manual machine tools safety by operator in manufacturing process, and operates totally-enclosed number It is then very high to control Central Security, is scored according to acquisition data operational safety.
After carrying out the data processings such as nondimensionalization and degree of membership calculating to the compression impellor green achievement data of acquisition, Obtain its manufacturing process Green Evaluation decision matrix table.
Certain the compression impellor manufacturing process Green Evaluation jdgement matrix table of table 2
1, analytic hierarchy process (AHP) is evaluated
Index weights, compression impellor manufacturing process Green Index System are determined by analytic hierarchy process (AHP) (AHP) first It is divided into two layers.Weight calculation with 3 indexs of environment attribute subordinate in index system (exhaust gas discharge, discharging of waste liquid and noise) is Example, is compared the relative Link Importance 3 indexs two-by-two, constructs jdgement matrix according to 1~9 scaling law and is respectively as follows:
The maximum eigenvalue of each index weights and jdgement matrix is solved, and calculates coincident indicator CI, due to jdgement matrix It is third-order matrix, random index RI value is 0.58, and then the consistency ratio CR of each jdgement matrix is calculated.Respectively The consistency ratio CR of jdgement matrix is respectively less than 0.1, meets consistency check.Each index weights arithmetic mean of instantaneous value is calculated, is obtained The weight vectors of subordinate's index set of environment attribute areSimilarly certain can be found out respectively to calm the anger The generic index weights of same layer under impeller manufacturing process Green Index System, it is green to finally obtain certain compression impellor manufacturing process Chromogenic indicator weight table, as shown in table 3.
Certain the compression impellor manufacturing process green index weights of table 3
According to the compression impellor manufacturing process Green Evaluation jdgement matrix table obtained after acquisition data processing and pass through AHP The green index system weight table that method is calculated carries out Secondary Fuzzy Comprehensive Evaluation from bottom to top to its green.First To index set similar under each attribute carry out level-one fuzzy comprehensive evoluation, according to evaluation result establish each attribute fuzzy matrix for assessment into Row Secondary Fuzzy Comprehensive Evaluation finds out each attribute to the degree of membership of manufacturing process Green Evaluation, obtains finally by linear weighted function The green of certain compression impellor manufacturing process is horizontal.The Two-stage Fuzzy Comprehensive that certain compression impellor manufacturing process each process is calculated is commented Sentence result:
B=[0.4031,0.3981,0.9280,0.4253,0.4221,0.6426,0.4332,0.5518,0.6141, 0.4122,0.5590].
Therefore, from evaluation result it can be seen that in the entire manufacturing process of the compression impellor, third procedure (heat treatment) Green it is relatively high, the green of second operation work (rough turn) is relatively poor.
2, overall merit
2.1, Grey Comprehensive Evaluation
Green Evaluation is carried out to certain compression impellor manufacturing process using Grey Comprehensive Evaluation method, needs to obtain following number According to:
(1) certain compression impellor manufacturing process Green Evaluation jdgement matrix table (table 2)
(2) optimal value of each index is determined according to jdgement matrix table, and two indices are consumed with stock utilization and cutter For, obtained optimal value is highest stock utilization and minimum cutter consumption respectively, obtains optimal index in this approach Collection:
V=[1,0.25,0.5,0.0000,0.25,0.5,0,0.75]
(3) certain compression impellor manufacturing process green index weights collection is weighed according to certain compression impellor manufacturing process green index Index weights can be obtained in weight (table 3):
W=[0.064,0.087,0.054,0.314,0.220,0.080,0.037,0.144]
According to Grey Comprehensive Evaluation standard step, the nondimensionalization processing of data, and Calculation Estimation coefficient are carried out, it is final to count Calculation obtains the Grey Comprehensive Evaluation result of certain compression impellor manufacturing process each process:
B=[0.8956,0.8864,0.6731,0.9277,0.9221,0.7852,0.8988,0.9170,0.8822, 0.9412,0.8954]
2.2, ideal point method (TOPSIS method) evaluation is approached
In certain compression impellor manufacturing process green index, cutter consumption, cutting fluid consumption, power consumption, exhaust gas discharge, The lower discharging of waste liquid, the numerical value of six indexs of noise the better, these three indexs are known as low excellent index;Other index values get over Gao Yue It is good, referred to as high excellent index.Low excellent index can be converted into high excellent index, and method uses differential technique to be the low excellent index x of relative number Counting backward technique can be used in (1-x), the low excellent index x of absolute numberLow excellent index in this example is all made of differential technique conversion, turns Data are shown in Table 4 after change.
Table 4 converts index value
In conjunction with certain compression impellor manufacturing process green index weights collection w=[0.064,0.087,0.054,0.314, 0.220,0.080,0.037,0.144], according to ideal point method standard step is approached, specified decision matrix and weighting square are constructed Battle array, determines ideal solution and minus ideal result, and the evaluation of certain compression impellor manufacturing process each process is finally obtained by calculating the degree of approach As a result:
B=[0.4613,0.4593,0.0775,0.4830,0.4819,0.2903,0.4835,0.3516,0.3052, 0.7678,0.4316]
2.3, comprehensive evaluation result
In conjunction with the application range and advantage and disadvantage of expert advice and algorithm itself, assign three kinds of algorithms different weight w*= [0.1,0.2,0.7] finally obtains the comprehensive evaluation result of comprehensive three kinds of evaluation methods:
B*=[0.5424,0.5386,0.2817,0.5662,0.5640,0.4245,0.5615,0.4847,0.4515, 0.7669,0.5371]
From comprehensive evaluation result it can be seen that in the entire manufacturing process of the compression impellor, the tenth procedure (dynamic balancing) The green of green highest, third procedure (heat treatment) is worst.This has with the result that analytic hierarchy process (AHP) obtains is used alone A great difference.
By production scene investigation it can be found that resource consumption, energy consumption and the environmental pollution being heat-treated are all very big, and level It is the optimal process of green that analytic approach, which obtains heat treatment, is not tallied with the actual situation, and is that dynamic balancing only produces less in the process instead Dust is measured, energy consumption is also minimum, meets green requirement.
It therefore deduces that, every kind of evaluation method all its scope of application and advantage and disadvantage, it is only comprehensive using a variety of feasible Evaluation method, by assigning different weights to different evaluation methods, final green composite can just be obtained by, which comprehensively considering, is commented Valence is as a result, the otherness as brought by method difference can also be eliminated.
Finally, it is stated that the above examples are only used to illustrate the technical scheme of the present invention and are not limiting, although passing through ginseng According to the preferred embodiment of the present invention, invention has been described, it should be appreciated by those of ordinary skill in the art that can To make various changes to it in the form and details, without departing from the present invention defined by the appended claims Spirit and scope.

Claims (8)

1. a kind of green composite evaluation method for marine diesel components manufacturing process, which is characterized in that according to user The weight information of multiple evaluation indexes of selection, the automatic normalized for carrying out index weights, obtains evaluation criterion weight;It adopts A variety of Green Evaluations to be processed of target part are calculated as a result, determining Green Evaluation to be processed in turn with different evaluation algorithm As a result weight generates green composite evaluation result.
2. being directed to the green composite evaluation method of marine diesel components manufacturing process, feature as described in claim 1 It is, comprising:
S1, it determines target part, if there are case library supports for target part, generates green composite evaluation result, otherwise, execute Step S2;
S2, the evaluation index that target part is determined based on target part form assessment indicator system inventory;
S3, evaluation points are obtained based on assessment indicator system inventory, the degree of membership of each evaluation index is calculated based on evaluation points;
S4, the weight information for obtaining each evaluation index, and weight information is normalized to obtain evaluation criterion weight;
S5, multiple Green Evaluation results to be processed are calculated using many algorithms;
S6, the weight for determining each Green Evaluation result to be processed are generated based on institute Green Evaluation result and its weight to be handled Green composite evaluation result;
S7, corresponding result explanation is generated based on green composite evaluation result.
3. being directed to the green composite evaluation method of marine diesel components manufacturing process, feature as claimed in claim 2 It is, step S1 includes:
It determines target part, if having the corresponding green composite evaluation result information of target part in evaluation example library, calls Green composite evaluation result information is as green composite evaluation result, otherwise, executes step S2.
4. being directed to the green composite evaluation method of marine diesel components manufacturing process, feature as claimed in claim 2 It is, step S2 includes:
User's evaluation demand information and/or evaluation index library information are obtained, user's evaluation demand information and/or evaluation index are based on Library information determines the corresponding evaluation index of target part and forms assessment indicator system inventory.
5. being directed to the green composite evaluation method of marine diesel components manufacturing process, feature as claimed in claim 2 It is, step S3 includes:
The corresponding evaluation points of assessment indicator system inventory are obtained from historic survey data, or acquire evaluation index from workshop The corresponding data of system inventory form evaluation points;
Data processing is carried out to each evaluation points by preset algorithm, the degree of membership of each evaluation index is calculated.
6. being directed to the green composite evaluation method of marine diesel components manufacturing process, feature as claimed in claim 2 It is, step S4 includes:
The weight information of evaluation index is obtained from weight accumulation evaluation example library, or determines acquisition pair in algorithms library from weight The algorithm answered calculates weight information;
All weight informations are normalized after modification weight information, by uniformly expanding or shrinking ratio, make weight The sum of be 1, obtain evaluation criterion weight.
7. being directed to the green composite evaluation method of marine diesel components manufacturing process, feature as claimed in claim 2 It is, step S5 includes:
Many algorithms are selected from evaluation algorithms library;
Degree of membership and corresponding evaluation criterion weight based on each evaluation index calculate separately out one kind wait locate using every kind of algorithm Manage Green Evaluation result.
8. being directed to the green composite evaluation method of marine diesel components manufacturing process, feature as claimed in claim 2 It is, further includes:
S8, green composite evaluation result is stored into evaluation example library.
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