CN103745127A - Conservation measure auxiliary decision method specific for road disease causes - Google Patents

Conservation measure auxiliary decision method specific for road disease causes Download PDF

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CN103745127A
CN103745127A CN201410038378.0A CN201410038378A CN103745127A CN 103745127 A CN103745127 A CN 103745127A CN 201410038378 A CN201410038378 A CN 201410038378A CN 103745127 A CN103745127 A CN 103745127A
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disease
causes
maintenance measure
maintenance
matrix
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CN103745127B (en
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赵永利
李靖
马涛
郭辉
周健
鲍世辉
任园
张垚
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Southeast University
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Abstract

The invention discloses a conservation measure auxiliary decision method specific for road disease causes. The method comprises the following steps: (1) making statistics according to expert questionnaire, and constructing a conservation measure applicable matrix A corresponding to the disease causes; (2) making statistics according to expert questionnaire, and constructing a specific matrix B of conservation measures to the disease causes; (3) making statistics according to expert questionnaire, and constructing a normalized vector h; (4) detecting according to field technology and constructing a disease cause generation vector w; (5) calculating conservation measure distribution probability p; (6) making conservation by selecting the conservation measure with the largest distribution probability. The method provided by the invention not only considers the applicability of the conservation measure to each disease cause, but also considers the specificity of the conservation measure to the disease cause, so that more efficiency of the conservation measure is applied on the existing disease cause.

Description

Maintenance measure aid decision-making method for the road disease origin cause of formation
Technical field
The present invention relates to a kind of maintenance measure aid decision-making method for the road disease origin cause of formation, belong to road maintenance technology.
Background technology
By the end of the year 2012, China's highway total kilometrage has been broken through 9.6 ten thousand kilometers, if 9.6 ten thousand kilometers of high speed maintenances in 10 years are complete, annual maintenance mileage reaches 0.96 ten thousand kilometer, and the annual of Er Jinshinian China is newly-increased is only 0.74 ten thousand kilometer at a high speed, and maintenance demand is huge.The appearance of pavement disease not only has influence on road-ability, and threatens travel safety.In time highway being carried out to effective maintenance not only can allow it keep good service level, and can delay even to prevent the generation of other disease, thereby increase the service life to a certain extent, and then can obtain good economic return and social benefit.
At present, road maintenance is during from causes of disease angle decision-making maintenance measure, only that the every kind of applicable probability of maintenance measure corresponding to causes of disease is simply added, according to probability size, select maintenance measure, this method has only been considered the applicability of maintenance measure to these causes of disease, do not consider the specific aim of these maintenance measures to causes of disease, therefore, although the maintenance measure of final decision can be punished causes of disease, but the effect of these maintenance measures has a big chunk to be used for punishing those causes of disease that do not occur, improved maintenance cost, caused the significant wastage of resource.
Avoid the appearance of this situation, when carrying out the decision-making of maintenance measure, not only need to consider the applicability of maintenance measure to causes of disease, also to consider the specific aim of maintenance measure to causes of disease, specific aim is stronger, illustrate that the effect that maintenance measure is applied in these causes of disease is more, the less wasting of resources of maintenance cost of punishing existing causes of disease is just fewer.
Summary of the invention
Goal of the invention: in order to overcome the deficiencies in the prior art, the invention provides a kind of maintenance measure aid decision-making method for the road disease origin cause of formation, consider maintenance measure to the applicability of causes of disease and specific aim, science is objective more, more scientifically aid decision making maintenance measure.
Technical scheme: for achieving the above object, the technical solution used in the present invention is:
A maintenance measure aid decision-making method for the road disease origin cause of formation, comprises the steps:
(1) according to Expert questionnaire, add up, set up maintenance measure applicability matrix A corresponding to causes of disease;
(2) according to Expert questionnaire, add up, set up the specific aim matrix B of maintenance measure to each causes of disease;
(3) according to Expert questionnaire, add up, set up normalized vector h;
(4) according to site technology, detect, set up causes of disease vectorial w occurs;
(5) calculate maintenance measure distribution probability the Hadamard product of ο representing matrix wherein, the element that is about to matrix correspondence position multiplies each other, and the matrix that carries out Hadamard product must be homotype matrix;
(6) maintenance measure of choosing distribution probability maximum carries out maintenance.
With m, represent the causes of disease species number that all roads of statistics occur, with n, represent the species number of all maintenance measures of statistics:
The maintenance measure applicability matrix representation that causes of disease is corresponding is:
A m × n = a 11 a 12 . . . a 1 n a 21 a 22 . . . a 2 n . . . . . . . . . . . . a m 1 a m 2 . . . a mn
Wherein, a ijthe applicable probability that represents the j kind maintenance measure of i kind causes of disease, the applicable probability distribution of maintenance measure corresponding to i line display i kind causes of disease of A, and 0≤a ij≤ 100%,
Figure BDA0000462472980000023
By maintenance measure, to the specific aim matrix representation of each causes of disease, be:
B m × n = b 11 b 12 . . . b 1 n b 21 b 22 . . . b 2 n . . . . . . . . . . . . b m 1 b m 2 . . . b mn
Wherein, b ijrepresent the specific aim of j kind maintenance measure to i kind causes of disease, the j list of B shows that j kind maintenance measure causes the probability distribution of every kind of disease phenomenon, and 0≤b ij≤ 100%,
Described normalized vector h is determined by the species number n of all maintenance measures of adding up, h 1 * n=[1 1 ... 1].
There is vectorial w in described causes of disease 1 * m=[w 1w 2w m], w wherein irepresent that whether i kind causes of disease occurs: i kind causes of disease occurs, w i=1; I kind causes of disease does not occur, w i=0.
Described maintenance measure is split as the combination of maintaining process and maintenance technology.
Beneficial effect: the maintenance measure aid decision-making method for the road disease origin cause of formation provided by the invention, not only considered the applicability of maintenance measure to every kind of causes of disease, but also considered the specific aim of maintenance measure to causes of disease, the effect of maintenance measure is more applied in the causes of disease having occurred; By matrix, carry out the calculating of maintenance measure distribution probability, be convenient to realize late time data expansion and perfect, and can set up specific aim database for different regions, thereby realize accurate calculation.
Accompanying drawing explanation
Fig. 1 is realization flow of the present invention;
Fig. 2 is the principle that realizes of the present invention;
Fig. 3 is for application the present invention and do not apply result comparison of the present invention.
Embodiment
Below in conjunction with accompanying drawing, the present invention is further described.
Be illustrated in figure 1 a kind of maintenance measure aid decision-making method for the road disease origin cause of formation, comprise the steps:
(1) according to Expert questionnaire, add up, set up maintenance measure applicability matrix A corresponding to causes of disease;
(2) according to Expert questionnaire, add up, set up the specific aim matrix B of maintenance measure to each causes of disease;
(3) according to Expert questionnaire, add up, set up normalized vector h;
(4) according to site technology, detect, set up causes of disease vectorial w occurs;
(5) calculate maintenance measure distribution probability the Hadamard product of ο representing matrix wherein, the element that is about to matrix correspondence position multiplies each other, and the matrix that carries out Hadamard product must be homotype matrix;
(6) maintenance measure of choosing distribution probability maximum carries out maintenance.
With m, represent the causes of disease species number that all roads of statistics occur, with n, represent the species number of all maintenance measures of statistics:
The maintenance measure applicability matrix representation that causes of disease is corresponding is:
A m × n = a 11 a 12 . . . a 1 n a 21 a 22 . . . a 2 n . . . . . . . . . . . . a m 1 a m 2 . . . a mn
Wherein, a ijthe applicable probability that represents the j kind maintenance measure of i kind causes of disease, the applicable probability distribution of maintenance measure corresponding to i line display i kind causes of disease of A, and 0≤a ij≤ 100%,
Figure BDA0000462472980000033
By maintenance measure, to the specific aim matrix representation of each causes of disease, be:
B m × n = b 11 b 12 . . . b 1 n b 21 b 22 . . . b 2 n . . . . . . . . . . . . b m 1 b m 2 . . . b mn
Wherein, b ijrepresent the specific aim of j kind maintenance measure to i kind causes of disease, the j list of B shows that j kind maintenance measure causes the probability distribution of every kind of disease phenomenon, and 0≤b ij≤ 100%,
Figure BDA0000462472980000042
Described normalized vector h is determined by the species number n of all maintenance measures of adding up, h 1 * n=[1 1 ... 1].
There is vectorial w in described causes of disease 1 * m=[w 1w 2w m], w wherein irepresent that whether i kind causes of disease occurs: i kind causes of disease occurs, w i=1; I kind causes of disease does not occur, w i=0.
Described maintenance measure distribution probability p 1 * n=[p 1p 2p n], p wherein ithe distribution probability that represents i kind maintenance measure.
Described maintenance measure is split as the combination of maintaining process and maintenance technology.
Below in conjunction with example, the present invention is made further instructions.
Because surface layer heavily spreads, these measures of in-situ heat regeneration do not relate to concrete material or grating etc., they have just described a kind of construction method, and therefore, strictly, they belong to maintaining process; For different causes of disease, need to take different maintenance technologies, for example, poor for stability of asphalt mixture, can adopt when surface layer heavily spreads and gather materials to punish by alkalescence.Therefore final maintenance measure is the combination of maintaining process and maintenance technology.Primary investigation data are as shown in table 1; Questionnaire is normalized to classify basis as, and gained is maintenance measure applicability matrix corresponding to causes of disease, and circular is as shown in table 2; Questionnaire is normalized with behavior base, and gained is the specific aim matrix of maintenance measure to causes of disease, and circular is as shown in table 3.
Table 1 computing method-raw statistical data
Figure BDA0000462472980000043
Note: only evaluate single maintenance measure for the applicable effect of causes of disease from technical standpoint.Totally 6 score values, represent that applicable effect is excellent for 5 minutes, and expression in 4 minutes is good, within 3 minutes, representing, and expression time in 2 minutes, 1 submeter differential, represents completely inapplicable in 0 minute.
The maintenance measure applicability matrix that table 2 computing method-causes of disease is corresponding
Figure BDA0000462472980000051
The specific aim matrix of table 3 computing method-maintenance measure to causes of disease
Figure BDA0000462472980000052
A kind of maintenance measure can be applicable to the multiple diseases origin cause of formation, therefore, once select certain maintenance measure, this maintenance measure is not only applicable to the causes of disease that this road occurs so, for the nonevent causes of disease in this road, it also has certain how appropriate, that is to say that there is certain specific aim on this maintenance measure Dui Gai road, in order not waste resource, allow the effect of maintenance measure as much as possible all be used in the causes of disease having occurred, when calculating the distribution probability of maintenance measure, consider applicability and the specific aim of maintenance measure.Above-mentioned principle as shown in Figure 2.
The present invention, by maintenance measure applicability matrix A, has considered the applicability of maintenance measure to each causes of disease; By maintenance measure specific aim matrix B, considered the specific aim of maintenance measure to each causes of disease.
The method has not only been considered the applicability of maintenance measure to every kind of causes of disease, but also has considered the specific aim of maintenance measure to causes of disease, and the effect of maintenance measure is more applied in the causes of disease having occurred; By matrix, carry out the calculating of the maintenance measure distribution probability of impaired road, be convenient to realize late time data expansion and perfect, and can set up specific aim database for different regions, thereby realize accurate calculation.
For example, according to the data of primary investigation shown in table 1, through detection, determine that stability of asphalt mixture has only occurred on certain road poor, apply the present invention and do not apply result of calculation of the present invention as shown in Figure 3.Do not apply the present invention, poor for stability of asphalt mixture, should take " surface layer heavily spreads+uses alkalescence and gathers materials ", by primary investigation tables of data 1～table 3, be known, its effect has 6 minutes, only having 66.67%, to be used in punishment maintenance measure water stability poor, after application the present invention, maintenance measure is " surface layer heavily spreads+reduce voidage ", by primary investigation tables of data 1～table 3, is known, its 4 minutes effects, have 93.75% to be all used in this causes of disease of punishment.The poor punishment effect of two kinds of maintenance measure water stabilitys is roughly the same, but definite its specific aim of maintenance measure of not application invention is much smaller than the definite maintenance measure of application invention, has improved maintenance cost, has caused the wasting of resources.Can see, the maintenance measure that decision-making of the present invention goes out,, determine having considered on maintenance measure applicability and specific aim basis.
The above is only the preferred embodiment of the present invention; be noted that for those skilled in the art; under the premise without departing from the principles of the invention, can also make some improvements and modifications, these improvements and modifications also should be considered as protection scope of the present invention.

Claims (5)

1. for a maintenance measure aid decision-making method for the road disease origin cause of formation, it is characterized in that: comprise the steps:
(1) according to Expert questionnaire, add up, set up maintenance measure applicability matrix A corresponding to causes of disease;
(2) according to Expert questionnaire, add up, set up the specific aim matrix B of maintenance measure to each causes of disease;
(3) according to Expert questionnaire, add up, set up normalized vector h;
(4) according to site technology, detect, set up causes of disease vectorial w occurs;
(5) calculate maintenance measure distribution probability
Figure FDA0000462472970000011
the Hadamard product of ο representing matrix wherein, the element that is about to matrix correspondence position multiplies each other, and the matrix that carries out Hadamard product must be homotype matrix;
(6) maintenance measure of choosing distribution probability maximum carries out maintenance.
2. the maintenance measure aid decision-making method for the road disease origin cause of formation according to claim 1, is characterized in that: with m, represent the causes of disease species number that all roads of statistics occur, represent the species number of all maintenance measures of statistics with n:
The maintenance measure applicability matrix representation that causes of disease is corresponding is:
A m × n = a 11 a 12 . . . a 1 n a 21 a 22 . . . a 2 n . . . . . . . . . . . . a m 1 a m 2 . . . a mn
Wherein, a ijthe applicable probability that represents the j kind maintenance measure of i kind causes of disease, the applicable probability distribution of maintenance measure corresponding to i line display i kind causes of disease of A, and 0≤a ij≤ 100%,
Figure FDA0000462472970000013
By maintenance measure, to the specific aim matrix representation of each causes of disease, be:
B m × n = b 11 b 12 . . . b 1 n b 21 b 22 . . . b 2 n . . . . . . . . . . . . b m 1 b m 2 . . . b mn
Wherein, b ijrepresent the specific aim of j kind maintenance measure to i kind causes of disease, the j list of B shows that j kind maintenance measure causes the probability distribution of every kind of disease phenomenon, and 0≤b ij≤ 100%,
Figure FDA0000462472970000015
3. the maintenance measure aid decision-making method for the road disease origin cause of formation according to claim 2, is characterized in that: described normalized vector h is determined by the species number n of all maintenance measures of adding up, h 1 * n=[1 1 ... 1].
4. the maintenance measure aid decision-making method for the road disease origin cause of formation according to claim 2, is characterized in that: vectorial w occurs described causes of disease 1 * m=[w 1w 2w m], w wherein irepresent that whether i kind causes of disease occurs: i kind causes of disease occurs, w i=1; I kind causes of disease does not occur, w i=0.
5. the maintenance measure aid decision-making method for the road disease origin cause of formation according to claim 1, is characterized in that: described maintenance measure is split as the combination of maintaining process and maintenance technology.
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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109740774A (en) * 2019-02-28 2019-05-10 中国公路工程咨询集团有限公司 The modification method and electronic equipment in maintenance of surface measure library
CN109919503A (en) * 2019-03-14 2019-06-21 东北大学 The method for determining best bridge maintenance technical combinations under more diseases using genetic algorithm

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JP2007113380A (en) * 2005-10-20 2007-05-10 Morimura Kosan Kk Rainwater collecting/draining material on pavement surface
CN102663252A (en) * 2012-04-11 2012-09-12 天津市市政工程设计研究院 Combined type pavement usability performance evaluation method for underground road

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2007113380A (en) * 2005-10-20 2007-05-10 Morimura Kosan Kk Rainwater collecting/draining material on pavement surface
CN102663252A (en) * 2012-04-11 2012-09-12 天津市市政工程设计研究院 Combined type pavement usability performance evaluation method for underground road

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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109740774A (en) * 2019-02-28 2019-05-10 中国公路工程咨询集团有限公司 The modification method and electronic equipment in maintenance of surface measure library
CN109740774B (en) * 2019-02-28 2021-07-30 中国公路工程咨询集团有限公司 Correction method of pavement maintenance measure library and electronic equipment
CN109919503A (en) * 2019-03-14 2019-06-21 东北大学 The method for determining best bridge maintenance technical combinations under more diseases using genetic algorithm
CN109919503B (en) * 2019-03-14 2023-08-04 东北大学 Method for determining optimal bridge maintenance technology combination under multiple diseases by using genetic algorithm

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Application publication date: 20140423

Assignee: Jiangsu Aoxin Science & Technology Co., Ltd.

Assignor: Southeast University

Contract record no.: 2018320000118

Denomination of invention: Conservation measure auxiliary decision method specific for road disease causes

Granted publication date: 20160817

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Record date: 20180613