CN104794589A - Analytical hierarchy process based dredging operation efficiency analytical method - Google Patents

Analytical hierarchy process based dredging operation efficiency analytical method Download PDF

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CN104794589A
CN104794589A CN201510238182.0A CN201510238182A CN104794589A CN 104794589 A CN104794589 A CN 104794589A CN 201510238182 A CN201510238182 A CN 201510238182A CN 104794589 A CN104794589 A CN 104794589A
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matrix
dredging operation
analytical
process based
decision
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李凯凯
许焕敏
穆乃超
王祥冰
宋庆峰
孔德强
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Changzhou Campus of Hohai University
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Changzhou Campus of Hohai University
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Abstract

The invention discloses an analytical hierarchy process based dredging operation efficiency analytical method. The analytical hierarchy process based dredging operation efficiency analytical method comprises the following steps: (1) constructing a hierarchical structure model; (2) constructing a comparative judgment matrix according to the 1-9 scale method; (3) performing consistency checking on the judgment matrix, if consistency checking is not qualified, correcting the importance weight of a criterion layer and a decision-making layer to a general objective until meeting the consistency requirement; (4) outputting weights of all levels and a general level; and (5) performing decision-making analysis. The analytical hierarchy process based dredging operation efficiency analytical method has the beneficial effects of being capable of providing decision-making analysis for adjustment of all technical parameters for achieving high-efficiency operation of dredging equipment under a condition of analyzing that a dredge boat is high in yield, low in energy consumption and free from fault, and therefore, the analytical hierarchy process based dredging operation efficiency analytical method has important significance to optimization of the energy consumption and the yield of the dredge boat.

Description

A kind of dredging operation high efficiency analytical approach based on step analysis
Technical field
The present invention relates to a kind of dredging operation high efficiency analytical approach based on step analysis, belong to Dredging Technology field.
Background technology
Hog barge belongs to heavy duty equipment, and plant equipment is complicated and changeable, and full ship installed power, far above common ships that transport, requires continuously to carry out dredging and spoil disposal work, is known as " offshore oil tiger " during fully loaded running.Along with the day by day exhaustion of the energy, " energy-saving and emission-reduction " are further important.If some energy resource consumptions saved by a hog barge, then whole economic benefit is very surprising.
Dredging is as underwater operation, and process control parameter is numerous, wherein usually there is certain correlativity between numerous parametric variable.This certainly will add the complicacy of problem analysis.In view of dredging relates to comprehensive, the complicacy of dredging operation process and the restriction of experiment condition of multidisciplinary knowwhy, the fundamental research of dredging technique decision logic lags far behind actual needs; Change is for a long time because dredging process knowledge causes with theoretical shortage the present situation that dredging operation is difficult, efficiency is not high, dredging operation parameter is instructed to regulate and control, reduce regulation and control parameter, reduce operation easier, for dredging technique intelligent decision-makingization and robotization provide new thinking and theoretical foundation.
Summary of the invention
For solving the deficiencies in the prior art, the object of the present invention is to provide a kind of dredging operation high efficiency analytical approach based on step analysis, with by analyzing hog barge under high yield, low energy consumption, trouble-free prerequisite, each experimental parameter is regulated to provide policy-making analysis for making dredging plant reach high-efficiency homework.
In order to realize above-mentioned target, the present invention adopts following technical scheme:
Based on a dredging operation high efficiency analytical approach for step analysis, it is characterized in that, comprise the following steps:
1) hierarchy Model is built: with hog barge high-efficient homework for destination layer, with hog barge high yield, low energy consumption, non-fault for rule layer, to regulate dredging operation experimental parameter for decision-making level;
2) 1-9 scaling law structure multilevel iudge matrix is adopted;
3) consistency check is carried out to judgment matrix, if qualified, carry out next step, if defective, return step 2);
4) weight of each level and total level is exported;
5) decision analysis is carried out.
Aforesaid a kind of dredging operation high efficiency analytical approach based on step analysis, is characterized in that in described step (2), structure multilevel iudge matrix is as follows:
In secondary to last layer according to 1-9 scaling law quantitatively evaluating same layer minor element, the importance of corresponding criterion, constructs multilevel iudge matrix between two, for n element, obtains multilevel iudge Matrix C=(c between two ij) n × n, wherein,
And c ii=1 (i=1,2 ... n), c ijbe same level two elements relative to criterion corresponding in last layer important ratio compared with scale value.
Aforesaid a kind of dredging operation high efficiency analytical approach based on step analysis, is characterized in that: carry out consistency check step to judgment matrix in described step (3) as follows:
31) weight vector is calculated: according to matrix theory C ω=λ maxω, wherein, λ maxbe the Maximum characteristic root of Matrix C, ω is corresponding proper vector, can obtain weight vector to the ω obtained after normalization;
32) according to following formula, the consistance of compute matrix:
CI = λ max - n n - 1 CR = CI RI
In formula, CI departs from conforming index for weighing judgment matrix, and RI is corresponding average homogeneity index, and CR is judgment matrix approach ratio indicator, CR<0.1, thinks that matrix has consistance, otherwise matrix does not have consistance.
The beneficial effect that the present invention reaches: the invention discloses a kind of dredging operation high efficiency analytical approach based on step analysis, with by analyzing hog barge under high yield, low energy consumption, trouble-free prerequisite, each experimental parameter is regulated to provide policy-making analysis for making dredging plant reach high-efficiency homework.For balance optimizing research of energy consumption afterwards and output lays theoretical foundation, reach the object of high-level efficiency, high yield, low energy consumption, energy consumption is carried out to hog barge and output optimization significant.
Accompanying drawing explanation
Fig. 1 is analytical approach process flow diagram of the present invention;
Fig. 2 is hierarchy Model figure of the present invention.
Embodiment
Below in conjunction with accompanying drawing, the invention will be further described.Following examples only for technical scheme of the present invention is clearly described, and can not limit the scope of the invention with this.
A kind of dredging operation high efficiency analytical approach based on step analysis that the present invention relates to, with by analyzing hog barge under high yield, low energy consumption, trouble-free prerequisite, each experimental parameter is regulated to provide policy-making analysis for making dredging plant reach high-efficiency homework.Lower mask body is described in conjunction with an embodiment.
1) hierarchy Model is built: with cutter suction dredger high-efficient homework high efficiency A for destination layer, with hog barge high yield B1, low energy consumption B2, non-fault B3 for rule layer, to regulate dredging operation experimental parameter for decision-making level.Concrete experimental parameter comprises: reamer rotating speed C1, dredge pump rotating speed C2, reamer transverse moving speed C3, and mud thickness C4 cut by reamer, reamer forward travel distance C5.
2) importance of corresponding criterion in adopting 1-9 scaling law quantitatively evaluating same layer minor element secondary to last layer, construct multilevel iudge matrix between two, for n element, we obtain multilevel iudge Matrix C=(c between two ij) n × n.In general, matrix form is as follows:
Obvious Matrix C has following character:
c ij>0, c ij = 1 c ij ( i &NotEqual; j ) , c ii=1(i=1,2,…n)
Wherein, c ijbe same level two elements relative to criterion corresponding in last layer important ratio compared with scale value, its value can according to table 1.
Table 11 ~ 9 scaling law rule
Here: c ij={ 2,4,6,8,1/2,1/4,1/6,1/8} importance rate is between c ij={ between 1,3,5,7,9,1/3,1/5,1/7,1/9}.These numerals carry out the intuition of qualitative analysis and judgment is determined.
The judgment matrix A-B to destination layer is as follows for rule layer:
A = 1 4 1 / 3 1 / 4 1 1 / 9 3 9 1
Judgment matrix B-C to rule layer is as follows in decision-making level:
B 1 = 1 2 3 7 6 1 / 2 1 3 4 5 1 / 3 1 / 3 1 3 4 1 / 7 1 / 4 1 / 3 1 2 1 / 6 1 / 5 1 / 4 1 / 2 1
B 2 = 1 2 3 4 7 1 / 2 1 3 5 6 1 / 3 1 / 3 1 5 6 1 / 4 1 / 5 1 / 5 1 2 1 / 7 1 / 6 1 / 6 1 / 2 1
B 3 = 1 1 / 3 2 6 8 3 1 4 8 9 1 / 2 1 / 4 1 5 7 1 / 6 1 / 8 1 / 5 1 2 1 / 8 1 / 9 1 / 7 1 / 2 1
3) consistency check is carried out to judgment matrix,
1. weight vector is calculated: according to matrix theory C ω=λ maxω, wherein, λ maxbe the Maximum characteristic root of Matrix C, ω is corresponding proper vector, can obtain weight vector to the ω obtained after normalization.
2. according to following formula, the consistance of compute matrix:
CI = &lambda; max - n n - 1 - - - ( 1 )
CR = CI RI - - - ( 2 )
In formula, CI departs from conforming index for weighing judgment matrix, and CI value is larger, shows that judgment matrix departs from the degree of crash consistency larger; CI value is less, shows that the consistance of judgment matrix is better.RI is corresponding average homogeneity index, and its value can according to table 2.
CR is judgment matrix approach ratio, if CR<0.1, think that matrix has consistance, otherwise matrix does not have consistance, return step (2) importance to criterion and again pass judgment on quantification, and structure judges comparator matrix, then from newly carrying out step (3), until judgment matrix has consistance.
Table 2 average homogeneity index
For judgment matrix A, result of calculation is as follows:
ω 0=[0.2499 0.0688 0.6812] T,λ max=3.0092,CR=0.008
Judgment matrix B 1result of calculation is as follows:
ω 1=[0.4377 0.2896 0.1550 0.0686 0.0491] T,λ max=5.1552,CR=0.035
Judgment matrix B 2result of calculation is as follows:
ω 2=[0.3998 0.3085 0.1866 0.065 0.04] T,λ max=5.2952,CR=0.066
Judgment matrix B 3result of calculation is as follows:
ω 3=[0.25 0.4999 0.1699 0.048 0.032] T,λ max=5.2080,CR=0.047。
4) weight of each level and total level is exported:
The weight of each level is as the result of calculation ω of step (3) 0, ω 1, ω 2, ω 3.The weights W result of calculation of total level is as table 3.
The total Hierarchical Decision Making layer weight of table 3
The rule layer of weight reflection of total level and the assembly of solution layer, that is:
w 1=0.2499×0.4377+0.0688×0.3998+0.6812×0.25=0.3072
w 2=0.2499×0.2896+0.0688×0.3085+0.6812×0.4999=0.4341
w 3=0.2499×0.1550+0.0688×0.1866+0.6812×0.1699=0.1673
w 4=0.2499×0.0686+0.0688×0.065+0.6812×0.048=0.0543
w 5=0.2499×0.0491+0.0688×0.04+0.6812×0.032=0.0368
Then total level weight W is:
W=[w 1w 2w 3w 4w 5] T=[0.3072 0.4341 0.1673 0.0543 0.0368] T
5) decision analysis is carried out: in present case, by 0.4341>0.3072>0.1673GreatT.G reaT.GT0.0543>0.0368, namely mud thickness C4> reamer forward travel distance C5 cut by dredge pump rotating speed C2> reamer rotating speed C1> reamer transverse moving speed C3> reamer, cutter suction dredger can be obtained in high yield, under low energy consumption and the prerequisite that do not break down, want to reach high-efficient homework, then preferentially regulate dredge pump rotating speed, secondly coordinate and regulate reamer rotating speed, at secondary adjustment reamer transverse moving speed, finally consider to regulate reamer to cut mud thickness and reamer forward travel distance.
The above is only the preferred embodiment of the present invention; it should be pointed out that for those skilled in the art, under the prerequisite not departing from the technology of the present invention principle; can also make some improvement and distortion, these improve and distortion also should be considered as protection scope of the present invention.

Claims (3)

1., based on a dredging operation high efficiency analytical approach for step analysis, it is characterized in that, comprise the following steps:
1) hierarchy Model is built: with hog barge high-efficient homework for destination layer, with hog barge high yield, low energy consumption, non-fault for rule layer, to regulate dredging operation experimental parameter for decision-making level;
2) 1-9 scaling law structure multilevel iudge matrix is adopted;
3) consistency check is carried out to judgment matrix, if qualified, carry out next step, if defective, return step 2);
4) weight of each level and total level is exported;
5) decision analysis is carried out.
2. a kind of dredging operation high efficiency analytical approach based on step analysis according to claim 1, is characterized in that in described step (2), structure multilevel iudge matrix is as follows:
In secondary to last layer according to 1 ~ 9 Scale Method quantitatively evaluating same layer minor element, the importance of corresponding criterion, constructs multilevel iudge matrix between two, for n element, obtains multilevel iudge Matrix C=(c between two ij) n × n, wherein,
And c ii=1 (i=1,2 ... n), c ijbe same level two elements relative to criterion corresponding in last layer important ratio compared with scale value.
3. a kind of dredging operation high efficiency analytical approach based on step analysis according to claim 1, is characterized in that: carry out consistency check step to judgment matrix in described step (3) as follows:
31) weight vector is calculated: according to matrix theory C ω=λ maxω, wherein, λ maxbe the Maximum characteristic root of Matrix C, ω is corresponding proper vector, can obtain weight vector to the ω obtained after normalization;
32) according to following formula, the consistance of compute matrix:
CI = &lambda; max - n n - 1 , CR = CI RI
In formula, CI departs from conforming index for weighing judgment matrix, and RI is corresponding average homogeneity index, and CR is judgment matrix approach ratio indicator, CR<0.1, thinks that matrix has consistance, otherwise matrix does not have consistance.
CN201510238182.0A 2015-05-11 2015-05-11 Analytical hierarchy process based dredging operation efficiency analytical method Pending CN104794589A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105718426A (en) * 2016-01-22 2016-06-29 河海大学常州校区 Dredging output mathematical model building method based on multiple linear regression analysis
CN112163282A (en) * 2020-10-30 2021-01-01 智慧航海(青岛)科技有限公司 Comprehensive performance evaluation method for intelligent ship

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2004118552A (en) * 2002-09-26 2004-04-15 Toshiba Corp Method for supporting multipurpose decision making process and its program
KR20090073061A (en) * 2009-05-15 2009-07-02 신동혁 A system and method for managing the business process model which mapped the logical process and the physical process model

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2004118552A (en) * 2002-09-26 2004-04-15 Toshiba Corp Method for supporting multipurpose decision making process and its program
KR20090073061A (en) * 2009-05-15 2009-07-02 신동혁 A system and method for managing the business process model which mapped the logical process and the physical process model

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
包法伟: "小清河河口段航道维护疏浚工程通航安全研究", 《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》 *

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105718426A (en) * 2016-01-22 2016-06-29 河海大学常州校区 Dredging output mathematical model building method based on multiple linear regression analysis
CN105718426B (en) * 2016-01-22 2018-07-27 河海大学常州校区 A kind of dredging yield mathematical model establishing method based on multiple linear regression analysis
CN112163282A (en) * 2020-10-30 2021-01-01 智慧航海(青岛)科技有限公司 Comprehensive performance evaluation method for intelligent ship

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Application publication date: 20150722