CN103592845A - Papermaking industry water pollution abatement process regulating and controlling method - Google Patents

Abstract

The invention provides a papermaking industry water pollution abatement process regulating and controlling method, and relates to papermaking industry water pollution abatement processes. An evaluation index system of the papermaking industry water pollution abatement processes is determined; states of the various papermaking industry water pollution abatement processes to be evaluated are described; an ideal process state of the optimal index of the mth process is described; differences between the corresponding indexes in a matrix R0N and a matrix Rmn are described; the index weight is determined, the degrees of importance of various process evaluation indexes are described, an Euclid approach degree composite fuzzy matter-element matrix is built, and the degree of closeness of the processes to be evaluated and ideal processes is described; the evaluated processes are sorted, and a scheme is output to regulate the sewage treatment processes so that papermaking industry sewage can accord with industry regulations. According to the method, specific technique of papermaking industry water pollution abatement can be combined, the optimal technique is given, poor technique is updated and improved, the direction is provided for an improvement to existing papermaking industry water pollution abatement technique, and meanwhile support is provided for development of the papermaking industry water pollution abatement technique.

Description

A kind of paper industry water pollution control process control method

Technical field

The present invention relates to paper industry water pollution control technique, particularly a kind of paper industry water pollution control process control method.

Background technology

The paper industry waste water various wastewater that different phase produces in production run forms, can there is very big-difference along with the difference of the conditions such as raw material type, production technology and product requirement in the organic loading of its discharge capacity and pollutant, there is discharge capacity large, pollutant is many, the feature such as difficult, the pollution of paper waste has not only limited the development of paper industry self, has also damaged the mankind's living environment simultaneously.In numerous paper waste pollution control technique, selecting optimal technique, is one of effective way alleviating paper waste pollution, and this just need to regulate and control numerous paper industry water pollution control technique.

At present, water pollution control process control method mainly contains analytical hierarchy process, principal component analysis (PCA), Field Using Fuzzy Comprehensive Assessment, Grey Incidence, artificial neural network technology and genetic algorithm etc., but these methods all can not solve separately paper industry water pollution control process control problem.About the method for paper industry water pollution control process control also in the starting stage.

Summary of the invention

The deficiency existing for prior art, the object of this invention is to provide a kind of paper industry water pollution control process control method, identify the problem that existing paper industry water pollution control technique exists, for its improvement provides technical support, by existing paper industry water pollution control technique is regulated and controled, finally reach and reduce the object that paper waste pollutes.

Technical scheme of the present invention is achieved in that a kind of paper industry water pollution control process control method, comprises the following steps:

Step 1: determine the evaluation index system of paper industry water pollution control technique, comprise quantitative target and qualitative index;

Described index system comprises 13 indexs, and wherein, quantitative target comprises COD, BOD, ammonia nitrogen, SS clearance, water outlet pH value, and wastewater recycle rate, capital expenditure expense, ton cost of water treatment is totally 8 indexs; Qualitative index comprises technology maturation, impact resistance, automaticity, reorganization and expansion easness, Technique Popularizing totally 5 indexs;

For quantitative target, by Field Research sampling, obtained; For qualitative index, take expert's scoring by excellent, good, in, poor, differ from five scales and evaluate;

Step 2: for m kind paper industry water pollution control technique, obtain respectively the numerical value corresponding to index system of every kind of technique;

Step 3: construct compound fuzzy matter element matrix R, for describing the state of each paper industry water pollution control technique to be evaluated, process is:

First, set up compound fuzzy matter element matrix R, capable 13 row of the common m of this matrix, i kind technique to be evaluated in i line display m kind paper industry water pollution control to be evaluated technique, i=1 wherein, 2 ... .., m; J is listed as described in corresponding step 1 j item evaluation index in paper industry water pollution control technological evaluation index system, and has j=1, and 2 ... .., 13;

In the compound fuzzy matter element matrix of numerical value substitution R corresponding to the index system of every kind of technique afterwards, step 2 being obtained;

Step 4: structure is from the compound fuzzy matter element matrix of excellent degree of membership R _mn;

Step 4-1: the compound fuzzy matter element matrix R that step 3 is set up carries out dimensionless standardization processing;

Step 4-2: utilize the result of step 4, structure is from the compound fuzzy matter element matrix of excellent degree of membership R _mn, method is:

The compound fuzzy matter element matrix of excellent degree of membership R _mncapable 13 row of m altogether, i kind technique to be evaluated in i line display m kind paper industry water pollution control to be evaluated technique, i=1 wherein, 2 ... .., m; J item evaluation index in paper industry water pollution control technological evaluation index system is shown in j list, and has j=1,2 ... .., 13;

Step 4-3: by membership function calculate each paper industry water pollution control technological evaluation index from excellent degree of membership, by every kind of technic index system corresponding from excellent degree of membership substitution from the compound fuzzy matter element matrix of excellent degree of membership R _mnin;

Step 5: described in selecting step 4 from the compound fuzzy matter element matrix of excellent degree of membership R _mnin every row maximal value, structural matrix R _0n, in order to describe the ideal technology state of the optimum index of m kind paper industry water pollution control to be evaluated technique;

Described structural matrix R _0ntotally 1 row 13 is listed as; Every column element all represents the maximal value of respective column element from the compound fuzzy matter element matrix of excellent degree of membership Rmn, is 1;

Step 6: the poor square compound fuzzy matter element matrix R of structure _Δ, in order to describe matrix R described in step 5 _0ndescribed in each index value and step 4 from the compound fuzzy matter element matrix of excellent degree of membership R _mngap between middle corresponding index;

Step 6-1: the gap between parameter, process is:

Matrix R described in step 5 _0ndescribed in each index value and step 4 from the compound fuzzy matter element matrix of excellent degree of membership R _mngap between middle corresponding index, is calculated by following formula:

Δ _ij＝(u _0j-u _ij) ²

In formula, u _0jfor matrix R described in step 5 _0nin each element numerical value, u _ijfor described in step 4 from the compound fuzzy matter element matrix of excellent degree of membership R _mnthe numerical value of the capable respective column of i;

Step 6-2: the poor square compound fuzzy matter element matrix R of structure _Δ, process is:

Described matrix R _Δm capable 13 is listed as altogether, i kind technique to be evaluated in i line display m kind paper industry water pollution control to be evaluated technique; J item evaluation index in each paper industry water pollution control technological evaluation index system is shown in j list;

Step 6-3: the difference square compound fuzzy matter element matrix R that the gap value substitution step 6-2 arriving that step 6-1 is calculated sets up _Δ, matrix R has been described _0ndescribed in each index value and step 4 from the compound fuzzy matter element matrix of excellent degree of membership R _mngap between middle corresponding index;

Step 7: average variance method is determined index weights, in order to describe the significance level of each paper industry water pollution control technological evaluation index, the deterministic process of index weights is:

Take each paper industry water pollution control technological evaluation index is stochastic variable, the value as this stochastic variable from excellent degree of membership of each evaluation index that m kind technique to be evaluated calculates by step 4, obtain again the mean square deviation of these stochastic variables, by mean square deviation normalization, its result is the weight of each evaluation index of paper industry water pollution control technique;

Step 7-1: calculating the average of each evaluation index of paper industry water pollution control technology, is matrix R described in step 4 _mnthe arithmetic mean value of middle respective column element.

Step 7-2: calculate the mean square deviation of each evaluation index of paper industry water pollution control technology, the R calculating for step 7-1 _mnin the arithmetic mean value of each column element and this quadratic sum that is listed as each element difference evolution again;

Step 7-3: the weight of calculating each evaluation index of paper industry water pollution control technology, the mean square deviation sum of each evaluation index that first calculation procedure 7-2 obtains, the weight of each evaluation index is the ratio of this evaluation index mean square deviation and each evaluation index mean square deviation sum.

Step 8: structure Euclidean approach degree compound fuzzy matter element matrix, be used for describing the approaching degree of paper industry water pollution control technique to be measured and ideal technology, detailed process is:

Step 8-1: calculate European approach degree:

According to m the degree of pressing close to of being commented desirable paper industry water pollution control technique described in paper industry water pollution control technique and step 5 described in Euclidean similarity measures calculation procedure 2;

Step 8-2: the compound fuzzy matter element matrix of structure Euclidean approach degree R _{ρ H}, process is:

Described matrix R _{ρ H}totally 1 row m is listed as, and element represents i the Euclidean approach degree numerical value of being commented between paper industry water pollution control technique and desirable paper industry water pollution control technique that step 8-1 calculates successively;

Step 9: the approach degree obtaining according to step 8, the skill of being evaluated somebody's work is sorted, Euclidean approach degree is larger, and the skill that shows to be evaluated somebody's work more approaches ideal technology, and the skill of being evaluated somebody's work that adopted is applicable to paper industry water pollution control; Otherwise the skill that shows to be evaluated somebody's work is not suitable for paper industry water pollution control;

Step 10: adjust sewage treatment process according to the scheme of step 9 output, make papermaking wastewater meet industry regulation.

Beneficial effect of the present invention: a kind of paper industry water pollution control technology evaluation method that the present invention proposes, can carry out quality sequence to the many On Indexes of multi-scheme, finally solve the synthtic price index of the many Criteria Decision Makings of multi-scheme, calculate easy to be flexible, visual result.This appraisal procedure can be in conjunction with the concrete technology of paper industry water pollution control, provide best techniques, and poor technology is carried out to upgrading, for improve existing paper industry water pollution control technology provider to, simultaneously also for development paper industry water pollution control technology provides support.

Accompanying drawing explanation

Fig. 1 is embodiment of the present invention paper industry water pollution control process control method flow diagram;

Fig. 2 is embodiment of the present invention index system structural representation.

Embodiment

Below in conjunction with accompanying drawing, embodiments of the present invention are described in further detail.

The present invention provides a kind of embodiment and adopts paper industry water pollution control process control method, and its flow process as shown in Figure 1, comprises the following steps:

Step 1: determine paper industry water pollution control technological evaluation index system.

Described index system comprises 13 indexs, as shown in Figure 2, wherein, quantitative target comprises COD, BOD, ammonia nitrogen, SS clearance (%), water outlet pH value, wastewater recycle rate (%), capital expenditure expense (ten thousand yuan), ton cost of water treatment (unit) totally 8 indexs, COD, BOD, ammonia nitrogen, SS clearance (%), wastewater recycle rate (%) totally 5 as benefit type index.Capital expenditure expense (ten thousand yuan), ton cost of water treatment (unit) totally 2, as cost type index; Water outlet pH value totally 1 as interval type index.Qualitative index comprises technology maturation, impact resistance, automaticity, reorganization and expansion easness, Technique Popularizing totally 5 indexs, is benefit type index.

For quantitative target, by Field Research sampling, obtained; For qualitative index, take expert's scoring by excellent, good, in, poor, differ from five scales and evaluate.

Step 2: be provided with m and commented paper industry water pollution control technique, obtain respectively the numerical value corresponding to index system of every kind of technique.

Step 3: construct the compound fuzzy matter element matrix of 13 dimension, describe the process state value of different paper industry water pollution control techniques with this matrix, process is:

The raw data of utilizing step 2 to obtain, constructs m and is commented the compound fuzzy matter element matrix R of 13 dimension corresponding to paper industry water pollution control technique, and formula is:

$R=\left[\begin{array}{ccccc}& c_1& c_2& ...& c_{13}\\ A_1& v_{11}& v_{12}& ...& v_{(1.,13)}\\ A_2& v_{21}& v_{22}& ...& v_{(2.,13)}\\ .& .& .& & \\ .& .& .& ...& v_{(2.,13)}\\ .& .& .& & \\ A_m& v_{m1}& v_{m2}& ...& v_{(m.,13)}\end{array}\right]$

A _i(i=1,2 ... .., m) respectively i in corresponding step 2 (i=1,2 ... .., m) individual quilt comments paper industry water pollution control technique, c _j(j=1,2 ... .., 13) respectively j in paper industry water pollution control technological evaluation index system described in corresponding step 1 (j=1,2 ... .., 13) evaluation index, v _ij(i=1,2 ... .., m; J=1,2 ... .., 13) i that obtains of respectively corresponding step 2 (i=1,2 ... .., m) individual technology, j (j=1,2 ... .., 13) raw data of individual index.

Step 4: construct 13 dimensions from the compound fuzzy matter element matrix of excellent degree of membership.

Described in step 1,13 evaluation indexes of paper industry water pollution control technique all have dimension, owing to unifiedly calculating having the numerical value of dimension, thereby cannot reach the object of carrying out comprehensive evaluation according to result of calculation.Therefore, need to carry out dimensionless standardization processing to the matrix R of step 3 structure.In matrix R, the dimensionless standardization processing of each element realizes from excellent degree of membership by calculating.Obtain from the method for excellent degree of membership with i (i=1,2 ... m) to comment paper industry water pollution control technique be that example is described as follows to individual quilt:

For quantitative benefit type index described in step 1, it from excellent degree of membership is

$u_{\mathrm{ij}}=\frac{v_{\mathrm{ij}}-\underset{1\≤i\≤m}{\min }{v}_{\mathrm{ij}}}{\underset{1\≤i\≤m}{\max }{v}_{\mathrm{ij}}-\underset{1\≤i\≤m}{\min }{v}_{\mathrm{ij}}}$

In formula, each symbol implication be take COD clearance (%) and is described as follows as example: v _ijfor this is commented paper industry water pollution control technique COD clearance (%) raw data, min _1≤i≤mv _ijfor all m the minimum value of being commented paper industry water pollution control technique COD clearance (%) raw data, max _1≤i≤mv _ijfor all m the maximal values of being commented paper industry water pollution control technique COD clearance (%) raw data, in the matrix R of step 3 structure, find v _ij, min _1≤i≤mv _ij, max _1≤i≤mv _ij, can calculate this commented technology COD clearance (%) from excellent degree of membership.Calculating in like manner from excellent degree of membership of other 4 quantitative benefit type indexs.

For quantitative cost type index described in step 1, it from excellent degree of membership is

$u_{\mathrm{ij}}=\frac{\underset{1\≤i\≤m}{\max }{v}_{\mathrm{ij}}-v_{\mathrm{ij}}}{\underset{1\≤i\≤m}{\max }{v}_{\mathrm{ij}}-\underset{1\≤i\≤m}{\min }{v}_{\mathrm{ij}}}$

In formula, each symbol implication be take capital expenditure expense (ten thousand yuan) and is described as follows as example: max _1≤i≤mv _ijfor all m the maximal values of being commented paper industry water pollution control technique capital expenditure expense (ten thousand yuan) raw data, v _ijfor this is commented paper industry water pollution control technique capital expenditure expense (ten thousand yuan) raw data, min _1≤i≤mv _ijfor all minimum value of being commented m paper industry water pollution control technique capital expenditure expense (ten thousand yuan) raw data, in the matrix R of step 3 structure, find v _ij, min _1≤i≤mv _ij, max _1≤i≤mv _ij, can calculate this commented technology capital expenditure expense (ten thousand yuan) from excellent degree of membership.Calculating in like manner from excellent degree of membership of other 1 quantitative cost type index.

For quantitative interval type index water outlet pH value described in step 1, it from excellent degree of membership is

$u_{\mathrm{ij}}=\left\{\begin{array}{cc}1-\frac{a-v_{\mathrm{ij}}}{\max \{(a-\underset{i}{\min }{v}_{\mathrm{ij}}),(\underset{i}{\min }{v}_{\mathrm{ij}}-b)\}}& v_{\mathrm{ij}}<a\\ 1& v_{\mathrm{ij}}\&Element;[a,b]\\ 1-\frac{v_{\mathrm{ij}}-b}{\max \{(a-\underset{i}{\min }{v}_{\mathrm{ij}}),(\underset{i}{\min }{v}_{\mathrm{ij}}-b)\}}& v_{\mathrm{ij}}>b\end{array}\right.$

In formula, [a, b] is the span of paper industry water pollution control Process for Effluent pH value, tighter person's value in concrete numerical basis industry and local integrated wastewater discharge standard.If this paper industry water pollution control Process for Effluent pH value is between [a, b], this paper industry water pollution control Process for Effluent pH value is 1 from excellent degree of membership; If this paper industry water pollution control Process for Effluent pH value is not between [a, b], this paper industry water pollution control Process for Effluent pH value need calculate from excellent degree of membership.V _ijfor this is commented paper industry water pollution control Process for Effluent pH value raw data, min _iv _ijfor all m the minimum value of being commented paper industry water pollution control Process for Effluent pH value raw data, max _iv _ijfor all m the maximal values of being commented paper industry water pollution control Process for Effluent pH value raw data, max{ (), () } get each other higher value.

For qualitative index described in step 1, from excellent degree of membership, arrange as follows:

In the matrix R of step 3 structure, find this evaluation scale of being commented each qualitative index of paper industry water pollution control technique, get final product each qualitative index from excellent degree of membership.

By above step 4-1,4-2,4-3,4-4, can obtain this commented each evaluation index of paper industry water pollution control technique from excellent degree of membership, complete the dimensionless standardization processing that this is commented technology evaluation index raw data.

All the other m-1 the dimensionless standardization processing of being commented paper industry water pollution control technological evaluation index raw data.

By above step, can complete the dimensionless standardization processing of all elements in matrix R, construct m and commented paper industry water pollution control technique 13 dimensions from the compound fuzzy matter element matrix of excellent degree of membership R _mn.

$R_{\mathrm{mn}}=\left[\begin{array}{ccccc}& c_1& c_2& ...& c_{13}\\ A_1& u_{11}& u_{12}& ...& u_{(1,13)}\\ A_2& u_{21}& u_{22}& ...& v_{(2,13)}\\ .& .& .& & .\\ .& .& .& ...& .\\ .& .& .& & .\\ A_m& u_{m1}& u_{m2}& ...& u_{(m.,13)}\end{array}\right]$

A _i(i=1,2 ... .., m) respectively i in corresponding step 2 (i=1,2 ... .., m) individual quilt comments paper industry water pollution control technique, c _j(j=1,2 ... .., 13) respectively j in paper industry water pollution control technological evaluation index system described in corresponding step 1 (j=1,2 ... .., 13) evaluation index, u _ij(i=1,2 ... .., m; J=1,2 ... .., 13) i that calculates of respectively corresponding step 4 (i=1,2 ... .., m) individual technology, j (j=1,2 ... .., 13) individual index from excellent degree of membership.

Step 5: construct 13 dimensions corresponding to desirable technique from excellent degree of membership fuzzy matter element matrix.

By matrix R described in step 4 _mn, construct desirable paper industry water pollution control technique from excellent degree of membership fuzzy matter element matrix R _0n.R _0nevery column element is matrix R described in step 4 _mnthe maximal value of middle respective column element, is 1.

$R_{0n}=\left[\begin{array}{ccccc}& c_1& c_2& ...& c_{13}\\ A_0& 1& 1& ...& 1\end{array}\right]$

A ₀for desirable paper industry water pollution control technique, c _j(j=1,2 ... .., 13) respectively j in paper industry water pollution control technological evaluation index system described in corresponding step 1 (j=1,2 ... .., 13) evaluation index.

Step 6: construct poor square of compound fuzzy matter element matrix of 13 dimensions.

By matrix R described in step 4 _mnwith matrix R described in step 5 _0n, construct m and commented the poor square compound fuzzy matter element matrix R of paper industry water pollution control technique 13 dimension _Δ.

$R_{\mathrm{\&Delta;}}=\left[\begin{array}{ccccc}& c_1& c_2& ...& c_{13}\\ A_1& {\mathrm{\&Delta;}}_{11}& {\mathrm{\&Delta;}}_{12}& ...& {\mathrm{\&Delta;}}_{(1,13)}\\ A_2& {\mathrm{\&Delta;}}_{21}& {\mathrm{\&Delta;}}_{22}& ...& {\mathrm{\&Delta;}}_{(2,13)}\\ .& .& .& & .\\ .& .& .& ...& .\\ .& .& .& & .\\ A_m& {\mathrm{\&Delta;}}_{m1}& {\mathrm{\&Delta;u}}_{m2}& ...& {\mathrm{\&Delta;}}_{(m.,13)}\end{array}\right]$

A _i(i=1,2 ... .., m) respectively i in corresponding step 2 (i=1,2 ... .., m) individual quilt comments paper industry water pollution control technique, c _j(j=1,2 ... .., 13) respectively j in paper industry water pollution control technological evaluation index system described in corresponding step 1 (j=1,2 ... .., 13) evaluation index, each element computing method are:

Δ _ij=(u _0j-u _ij) ²(i=1，2，...，m；j=1，2，...，13)

In formula, u _0j(j=1,2 ... .., 13) be matrix R described in step 5 _0nin each column element value, u _ij(i=1,2 ... .., m; J=1,2 ... .., 13) be matrix R described in step 4 _mnthe element value of the capable respective column of i.

Step 7: average variance method is determined index weights.

The basic ideas of average variance method are: the paper industry water pollution control technological evaluation index described in step 1 of take is stochastic variable, m the value that is this stochastic variable from excellent degree of membership of being commented each evaluation index that technology calculates by step 4 described in step 2, first obtain the mean square deviation of these stochastic variables, by mean square deviation normalization, its result is paper industry water pollution control technique and comments the weight of respectively estimating index again.

Step 7-1: calculating the average of each evaluation index of paper industry water pollution control technique, is matrix R described in step 4 _mnthe arithmetic mean value of middle respective column element.

$E\left(c_j\right)=\frac{1}{m}\underset{i=1}{\overset{m}{\mathrm{\&Sigma;}}}{u}_{\mathrm{ij}}$

Step 7-2: calculate the mean square deviation of each evaluation index of paper industry water pollution control technique, the R calculating for step 7-1 _mnin the arithmetic mean value of each column element and this quadratic sum that is listed as each element difference evolution again.

$F\left(c_j\right)=\sqrt{\underset{i=1}{\overset{m}{\mathrm{\&Sigma;}}}{(u_{\mathrm{ij}}-E\left(c_j\right))}^2}$

Step 7-3: the weight of calculating each evaluation index of paper industry water pollution control technique, the mean square deviation sum of each evaluation index that first calculation procedure 7-2 obtains, the weight of each evaluation index is the ratio of this evaluation index mean square deviation and each evaluation index mean square deviation sum.

${\mathrm{\&omega;}}_j=\frac{F\left(c_j\right)}{{\mathrm{\&Sigma;}}_{j=1}^{n}F\left(c_j\right)}$

Step 8: the compound fuzzy matter element matrix of structure Euclidean approach degree.

First m the degree of pressing close to of being commented desirable paper industry water pollution control technique described in each technology of paper industry water pollution control technique and step 5 described in calculation procedure 2.The present invention presses close to degree and is represented by Euclidean approach degree, and Euclidean approach degree is larger, shows to be commented technology more to approach desirable technique, more applicable paper industry water pollution control, otherwise,, from away from more, be more not suitable for paper industry water pollution control.

Because paper industry water pollution control technological evaluation has the meaning of comprehensive evaluation, adopt and first take advantage of the algorithm adding afterwards to calculate Euclidean approach degree.Computing method are with i (i=1,2, ..., m) individual paper industry water pollution control technique is that example is described as follows: the weight of each evaluation index of paper industry water pollution control technique that step 7 is calculated is multiplied by described in step 6 m is successively commented poor square of compound fuzzy matter element matrix R of paper industry water pollution control technique _Δin the evolution again of suing for peace after i row element, this value and Euclidean approach degree sum are 1, therefore obtaining this value can calculate Euclidean approach degree numerical value.

$\mathrm{\&rho;}{H}_i=1-\sqrt{\underset{j=1}{\overset{n}{\mathrm{\&Sigma;}}}{\mathrm{\&omega;}}_j{\mathrm{\&Delta;}}_{\mathrm{ij}}}$

Commented the Euclidean approach degree between paper industry water pollution control technique and desirable paper industry water pollution control technique to calculate in like manner for all the other m-1.

According to each obtaining, commented the Euclidean approach degree between paper industry water pollution control technique and desirable paper industry water pollution control technique, the compound fuzzy matter element matrix of structure Euclidean approach degree R _{ρ H}.

$R_{\mathrm{\&rho;H}}=\left[\begin{array}{ccccc}& A_1& A_2& ...& A_m\\ \mathrm{\&rho;}{H}_i& \mathrm{\&rho;}{H}_1& \mathrm{\&rho;}{H}_2& ...& \mathrm{\&rho;}{H}_m\end{array}\right]$

A _i(i=1,2 ... .., m) respectively i in corresponding step 2 (i=1,2 ... .., m) individual quilt comments paper industry water pollution control technique, ρ H _i(i=1,2 ... .., m) respectively corresponding i (i=1,2 ... .., m) individual quilt comments the Euclidean approach degree between paper industry water pollution control technique and desirable paper industry water pollution control technique.

Step 9: commented the good and bad sequence of technology and evaluate.

The Euclidean approach degree size obtaining according to step 8 is to being commented paper industry water pollution control technique to carry out quality sequence.Euclidean approach degree is larger, and water outlet meets industry or the tighter person's of local integrated wastewater discharge standard paper industry water pollution control technique, more approaches desirable technique, is applicable to paper industry water pollution control; Euclidean approach degree is less, and water outlet does not meet industry or the tighter person's of local integrated wastewater discharge standard paper industry water pollution control technique, more away from desirable technique, need carry out upgrading, until and between desirable paper industry water pollution control technique Euclidean approach degree larger, and till water outlet meets industry or the tighter person of local integrated wastewater discharge standard.

Although more than described the specific embodiment of the present invention, the those skilled in the art in this area should be appreciated that these only illustrate, and can make various changes or modifications to these embodiments, and not deviate from principle of the present invention and essence.Scope of the present invention is only limited by appended claims.

Claims (1)

1. a paper industry water pollution control process control method, is characterized in that: comprise the following steps:

Step 1: determine the evaluation index system of paper industry water pollution control technique, comprise quantitative target and qualitative index;

Described index system comprises 13 indexs, and wherein, quantitative target comprises COD, BOD, ammonia nitrogen, SS clearance, water outlet pH value, and wastewater recycle rate, capital expenditure expense, ton cost of water treatment is totally 8 indexs; Qualitative index comprises technology maturation, impact resistance, automaticity, reorganization and expansion easness, Technique Popularizing totally 5 indexs;

For quantitative target, by Field Research sampling, obtained; For qualitative index, take expert's scoring by excellent, good, in, poor, differ from five scales and evaluate;

Step 2: for m kind paper industry water pollution control technique, obtain respectively the numerical value corresponding to index system of every kind of technique;

Step 3: construct compound fuzzy matter element matrix R, for describing the state of each paper industry water pollution control technique to be evaluated, process is:

First, set up compound fuzzy matter element matrix R, capable 13 row of the common m of this matrix, i kind technique to be evaluated in i line display m kind paper industry water pollution control to be evaluated technique, i=1 wherein, 2 ... .., m; J is listed as described in corresponding step 1 j item evaluation index in paper industry water pollution control technological evaluation index system, and has j=1, and 2 ... .., 13;

In the compound fuzzy matter element matrix of numerical value substitution R corresponding to the index system of every kind of technique afterwards, step 2 being obtained;

Step 4: structure is from the compound fuzzy matter element matrix of excellent degree of membership R _mn;

Step 4-1: the compound fuzzy matter element matrix R that step 3 is set up carries out dimensionless standardization processing;

Step 4-2: utilize the result of step 4, structure is from the compound fuzzy matter element matrix of excellent degree of membership R _mn,method is:

The compound fuzzy matter element matrix of excellent degree of membership R _mncapable 13 row of m altogether, i kind technique to be evaluated in i line display m kind paper industry water pollution control to be evaluated technique, i=1 wherein, 2 ... .., m; J item evaluation index in paper industry water pollution control technological evaluation index system is shown in j list, and has j=1,2 ... .., 13;

Step 4-3: by membership function calculate each paper industry water pollution control technological evaluation index from excellent degree of membership, by every kind of technic index system corresponding from excellent degree of membership substitution from the compound fuzzy matter element matrix of excellent degree of membership R _mnin;

Step 5: described in selecting step 4 from the compound fuzzy matter element matrix of excellent degree of membership R _mnin every row maximal value, structural matrix R _0n, in order to describe the ideal technology state of the optimum index of m kind paper industry water pollution control to be evaluated technique;

Described structural matrix R _0ntotally 1 row 13 is listed as; Every column element all represents the maximal value of respective column element from the compound fuzzy matter element matrix of excellent degree of membership Rmn, is 1;

Step 6: the poor square compound fuzzy matter element matrix R of structure _Δ, in order to describe matrix R described in step 5 _0ndescribed in each index value and step 4 from the compound fuzzy matter element matrix of excellent degree of membership R _mngap between middle corresponding index;

Step 6-1: the gap between parameter, process is:

Matrix R described in step 5 _0ndescribed in each index value and step 4 from the compound fuzzy matter element matrix of excellent degree of membership R _mngap between middle corresponding index, is calculated by following formula:

Δ _ij＝(u _0j-u _ij) ²

In formula, u _0jfor matrix R described in step 5 _0nin each element numerical value, u _ijfor described in step 4 from the compound fuzzy matter element matrix of excellent degree of membership R _mnthe numerical value of the capable respective column of i;

Step 6-2: the poor square compound fuzzy matter element matrix R of structure _Δ, process is:

Described matrix R _Δm capable 13 is listed as altogether, i kind technique to be evaluated in i line display m kind paper industry water pollution control to be evaluated technique; J item evaluation index in each paper industry water pollution control technological evaluation index system is shown in j list;

Step 6-3: the difference square compound fuzzy matter element matrix R that the gap value substitution step 6-2 arriving that step 6-1 is calculated sets up _Δ,matrix R has been described _0ndescribed in each index value and step 4 from the compound fuzzy matter element matrix of excellent degree of membership R _mngap between middle corresponding index;

Step 7: average variance method is determined index weights, in order to describe the significance level of each paper industry water pollution control technological evaluation index, the deterministic process of index weights is:

Take each paper industry water pollution control technological evaluation index is stochastic variable, the value as this stochastic variable from excellent degree of membership of each evaluation index that m kind technique to be evaluated calculates by step 4, obtain again the mean square deviation of these stochastic variables, by mean square deviation normalization, its result is the weight of each evaluation index of paper industry water pollution control technique;

Step 7-1: calculating the average of each evaluation index of paper industry water pollution control technology, is matrix R described in step 4 _mnthe arithmetic mean value of middle respective column element;

Step 7-2: calculate the mean square deviation of each evaluation index of paper industry water pollution control technology, the R calculating for step 7-1 _mnin the arithmetic mean value of each column element and this quadratic sum that is listed as each element difference evolution again;

Step 7-3: the weight of calculating each evaluation index of paper industry water pollution control technology, the mean square deviation sum of each evaluation index that first calculation procedure 7-2 obtains, the weight of each evaluation index is the ratio of this evaluation index mean square deviation and each evaluation index mean square deviation sum;

Step 8: structure Euclidean approach degree compound fuzzy matter element matrix, be used for describing the approaching degree of paper industry water pollution control technique to be measured and ideal technology, detailed process is:

Step 8-1: calculate European approach degree:

According to m the degree of pressing close to of being commented desirable paper industry water pollution control technique described in paper industry water pollution control technique and step 5 described in Euclidean similarity measures calculation procedure 2;

Step 8-2: the compound fuzzy matter element matrix of structure Euclidean approach degree R _{ρ H}, process is:

Described matrix R _{ρ H}totally 1 row m is listed as, and element represents i the Euclidean approach degree numerical value of being commented between paper industry water pollution control technique and desirable paper industry water pollution control technique that step 8-1 calculates successively;

Step 9: the approach degree obtaining according to step 8, the skill of being evaluated somebody's work is sorted, Euclidean approach degree is larger, and the skill that shows to be evaluated somebody's work more approaches ideal technology, and the skill of being evaluated somebody's work that adopted is applicable to paper industry water pollution control; Otherwise the skill that shows to be evaluated somebody's work is not suitable for paper industry water pollution control;

Step 10: adjust sewage treatment process according to the scheme of step 9 output, make papermaking wastewater meet industry regulation.

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