CN102720118B - Method for determining detection width of road surface - Google Patents
Method for determining detection width of road surface Download PDFInfo
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- CN102720118B CN102720118B CN201210179995.3A CN201210179995A CN102720118B CN 102720118 B CN102720118 B CN 102720118B CN 201210179995 A CN201210179995 A CN 201210179995A CN 102720118 B CN102720118 B CN 102720118B
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Abstract
The invention discloses a method for determining the detection width of a road surface. The method for determining the detection width of the road surface comprises the following steps of: selecting the width which is greater than or equal to 70% of that of the whole road surface as a detection width reference; determining multiple different detection widths and positions; laying out different detection widths on the basis of the detection width reference; determining the road section unit length used for evaluation; obtaining the breakage rate of each unit length of road surfaces with different detection widths; determining the grade to which the breakage rate of each road section belongs under each detection width and utilizing the grade as the grade of the road section; by utilizing the grade, which is obtained by virtue of the detection width with the greatest width value, of each road section as reference, determining the false acceptation rate of the grades, obtained by virtue of each detection width, of all the road sections; and determining the least detection width meeting certain false acceptation rate requirement. Since the detection width is decreased, the equipment detection requirement can be reduced, the image data volume of follow-up analysis can be reduced, the cost is integrally lowered, and the detection efficiency can be improved.
Description
Technical field
The present invention relates to highway maintenance field, refer to especially a kind of method of definite pavement detection width.
Background technology
Highway is carried out, in maintenance processes, need to detecting the breakage rate on road surface.At present conventional scheme detects the breakage rate on road surface according to predetermined detection width by inspection vehicle, by the pavement damage ratio detecting, determine corresponding maintenance scheme.
Existing detection scheme, all detects for the damaged road surface of most of appearance on road surface, according to testing result, determines corresponding maintenance scheme.Although the result detecting meets the requirements, the degree of accuracy is higher, and the road surface of detecting is wider, and the efficiency of detection is lower, and cost is higher.
Summary of the invention
In view of this, the invention reside in a kind of method that definite pavement detection width is provided, above-mentioned because the road surface of detecting is wider to solve, the efficiency of detection is lower, the problem that cost is higher.
For addressing the above problem, the invention provides a kind of method of definite pavement detection width, comprising:
Determine a plurality of different detection width;
While obtaining different detection width, the breakage rate in each unit section; Wherein, each unit section obtains a breakage rate;
Described in each under detection width, determine the grade that the breakage rate in unit section belongs to described in each, and as the grade in this unit section;
The grade in each unit section that the described detection width of width value maximum of usining obtains is as benchmark, the misclassification rate of the grade in whole units section that judgement obtains with described each detection width;
The detection width of minimum when determining misclassification rate and being less than threshold value.
Preferably, after the breakage rate in each unit section on described acquisition road surface, also comprise:
By each detection width, obtain the breakage rate in each unit section on road surface, set up the linear correlation relation between the breakage rate of described breakage rate and described detection width acquisition with described width value maximum;
If determine index of correlation, be not less than 0.95, carry out the step of misclassification rate of grade in the unit section of described this detection width of judgement.
Preferably, the quantity of described grade comprises arranges a plurality of grades from high to low, between described grade as the corresponding ascending arrangement of breakage rate of separation;
Described misclassification rate comprises False Rate and false determination ratio;
Described False Rate is for to be mistaken for inferior grade by belonging to high-grade unit section;
Described false determination ratio is mistaken for high-grade for belonging to low-grade unit section.
When determining misclassification rate preferably, and being less than threshold value, the process of the detection width of minimum comprises:
Determine the detection width of minimum when False Rate and false determination ratio sum are less than threshold value.
Preferably, also comprise: breakage rate and the misclassification rate in each unit section obtaining with the detection width of described minimum, revise the breakage rate as described separation.
Preferably, the process of described correction comprises:
Obtain breakage rate and the misclassification rate in the unit section of adjacent rank, determine misclassification rate breakage rate hour, the breakage rate using this breakage rate as revised described separation.
Preferably, also comprise:
Use grade corresponding to described revised breakage rate, redefine grade and the misclassification rate in each unit section of detection width described in each.
Preferably, also comprise: use the detection width of described minimum to obtain the breakage rate on other road surface to be measured, use the grade under each unit section on the described road surface to be measured of described revised grade judgement; Corresponding maintenance is carried out in described road surface to be measured.
Preferably, the described detection width of width value maximum be not less than described unit section width of roadway 70%.
The present invention also provides a kind of maintenance of surface method that comprises above-mentioned definite detection width method, comprising: according to the breakage rate on other road surface to be measured of described acquisition, corresponding maintenance is carried out in described road surface to be measured.
By above-mentioned step, can determine minimum detection width for the detection of follow-up other.Because detection width reduces, the data volume of the image on the road surface of subsequent analysis reduces, and effectively reduces cost, has improved detection efficiency.Because the testing result of definite detection width meets set misclassification rate requirement, and precision, index of correlation are higher, and the pavement damage ratio result of identification can be used for determining maintenance scheme.Due to the minimizing of detection width, improved the efficiency of highway maintenance.
Accompanying drawing explanation
Fig. 1 shows the flow chart of embodiment;
Fig. 2 shows the percentage of the shared PCI grade of grade in each section;
Fig. 3 shows under the detection width of 2600mm, and road surface is damaged at each position proportion;
Fig. 4 shows the distribution curve of different detection width and misclassification rate;
Fig. 5 shows the misclassification rate of two adjacent ranks and the distribution curve of breakage rate adopting under 800mm detection width.
The specific embodiment
For clearly demonstrating the scheme in the present invention, provide preferred embodiment below and be described with reference to the accompanying drawings.
Referring to Fig. 1, comprise the following steps:
S11: determine a plurality of different detection width and position;
S12: detect road surface, the breakage rate in each unit section while obtaining each detection width with each detection width;
S13: described in each under detection width, determine the grade that the breakage rate in each section belongs to, and as the grade in this unit section;
S14: the grade in each unit section that the described detection width of width value maximum of usining obtains is as benchmark, the misclassification rate of the grade in whole sections that judgement obtains with described each detection width;
S15: the detection width of minimum when determining misclassification rate and being less than threshold value.
By the step in embodiment, can determine minimum detection width for the detection of follow-up other.Because detection width reduces, the data volume of the image on the road surface of subsequent analysis reduces, and effectively reduces cost, has improved detection efficiency.Below by concrete parameter, describe each step in embodiment in detail.
Select the road surface of 1738km, every kilometer is 1 unit section, totally 1738 sections.The grade in these sections comprises each grade in PCI opinion rating, and the relation of described breakage rate and opinion rating is with reference to < < highway technology situation evaluation criteria > > JTG H20-2007.The shared ratio in section in each grade going out shown in Figure 2.
Detection width is used the detection width of 2600mm conventionally, the center, road surface that is centered close to each section of this detection width.Detection width can be from 100mm, and the width of 100mm of take increases progressively as next detection width, during detection width expansion, along the left and right, center on road surface, respectively expands 50mm.The detection width of 2600mm can be divided into 26 detection width, and the cross section of 2600mm is divided into 30 deciles, each detection width correspondence umbers such as a part wherein.
Under each detection width, the process that obtains the breakage rate in 1738 sections comprises:
Take 87mm * 100mm as a unit, and on the section under current detection width diverse location place on all cross sections, and statistics has the unit number of pavement damage, is designated as this locational pavement damage number.Breakage rate using the ratio of all unit in the damaged Yu Gai section, unit in each section as this section.
Each detection width, obtains 1738 breakage rates.
The damage histogram in the section that the shown in Figure 3 1738km obtaining with maximum detection width 2600mm is long, the probability that occurs pavement damage on track on diverse location is different, near wheel path (4～9,21～28) pavement damage proportion is under 2600mm higher than this average of average, the damaged ratio in all sections of 1738km.
Relative less with part pavement damage number outside wheel path near road axis.Near wheel path, the big rise and fall of pavement damage quantity, do not there is statistical property stably, and near road axis (10～20,800～900mm width), although overall pavement damage distribution is lower compared with average, its distribution is comparatively even, regularity is relatively better, uses this region to carry out in a narrow margin road surface statistics and more easily obtains relatively stable and result accurately.And in 10～20 scopes, although overall pavement damage distributes lower compared with average, but its distribution is comparatively even, can consider from centre to both sides extensive diagnostic, part lower than average, can coefficient of utilization to result, carry out integral body correction, because the damage of mid portion distributes, approach or be parallel to reference line.
Using the corresponding grade of the breakage rate in each section under 2600mm as benchmark, determine the misclassification rate in whole sections under other each detection width, then select the detection width that misclassification rate is minimum.With this detection width, other road surface is detected.
Preferably, after the breakage rate in each section on acquisition road surface, also comprise:
By each detection width, obtain the breakage rate in each section on road surface, set up the linear correlation relation between the breakage rate of described breakage rate and described detection width acquisition with described width value maximum;
If determine index of correlation, be not less than 0.95, carry out the step of misclassification rate of grade in the section of described this detection width of judgement.Thereby select detection width corresponding to section that between breakage rate and the breakage rate obtaining with 2600mm detection width, correlation is higher, while making the minimum detection width determined for subsequent detection, can obtain the testing result that more approaches 2600mm detection width.
For example: under each detection width, the breakage rate in 1738 sections of acquisition, does linear fit by the breakage rate in 1738 sections under the detection width of these breakage rates and 2600mm, obtain the fitting result shown in table 1.
Table 1
In the data shown in table 1, all index of correlation are all not less than 0.95, these detection width can be used for to the step of the detection width of follow-up definite minimum.Except 100mm width, the index of correlation of the result of different detection width and benchmark result is all more than 0.95, and along with the increase of detection width, index of correlation increases successively.From fit equation, Monomial coefficient is also in 1 left and right and only there is faint variation, and constant term is along with the increase of detection width has the trend reducing gradually.Therefore, use generally the correlation of the testing result of different in width and the wide cut pavement detection result of 2600mm all fine.
Preferably, for the judgement of misclassification rate, can be divided into False Rate and false determination ratio.According to the appraisement system of PCI in GB, that the grade on road surface is divided into is from high to low excellent, good, in, inferior, differ from 5 grades, corresponding, the separation of the breakage rate between two adjacent ranks is arranged successively from small to large, comprises 0.4,2.0,5.5,11; The section that is positioned at 0.4 left side for breakage rate is excellent, and breakage rate is good between 0.4 and 2.0, by that analogy.
Wherein, described False Rate is for to be mistaken for inferior grade by belonging to high-grade section, for example breakage rate is belonged to excellent section be judged to be good or in section; Described false determination ratio is mistaken for high-gradely for belonging to low-grade section, and for example, section in breakage rate being belonged to is judged to be good or excellent.
Misclassification rate is divided into after False Rate and false determination ratio, can further optimizes the effect of determining minimum detection width.
In an embodiment, the graph of relation between the misclassification rate of different detection width shown in Figure 4, False Rate, false determination ratio, generally, along with the increase gradually of detection width, false determination ratio and False Rate are all reducing gradually.When detection width is less than 1500mm, False Rate is greater than false determination ratio; When detection width is greater than 1500mm, False Rate is less than false determination ratio.Greatly, and false determination ratio changes comparatively slow from 800mm to 2000mm the amplitude that False Rate changes with the variation of detection width.Details, the False Rate of 200mm is less than the False Rate of 300mm on the contrary, and the result of False Rate and false determination ratio stack also reflects this feature; The false determination ratio of 800mm～1100mm is almost constant, and the variation of False Rate is also very little, thereby the results change of the two stack is also very little.Using error 15% as boundary is as threshold value, can find out, the error that 700mm is corresponding is greater than 15%, and error corresponding to 800mm detection width is 13.12%.
According to the result of false determination ratio and False Rate, false determination ratio during 800mm and False Rate are respectively 4.661% and 8.458%.The result of the two addition is 13.12%, uses 800mm detection width to replace 2600mm detection width to evaluate, and its error is 13.12%.
Owing to using 800mm detection width testing cost can be reduced greatly in the precision of assurance 86.88%, therefore, can use other pavement damage situation to be measured of this width detection.
Preferably, in an embodiment, breakage rate as separation in the misclassification rate of the detection width of 800mm and PCI grade has certain relation, can revise the breakage rate as separation between adjacent rank, adopt between revised adjacent rank the breakage rate as separation, redefine grade and the misclassification rate in each section of detection width described in each, and again determine the detection width of misclassification rate minimum.Will improve its accuracy of identification.
Describe the schematic diagram of 4 separations shown in Figure 5 below in detail.For breakage rate and the misclassification rate in each section under 800mm detection width, can obtain breakage rate and the misclassification rate in the section of two adjacent ranks, determine misclassification rate breakage rate hour, the breakage rate using this breakage rate as revised described separation.In Fig. 5, wherein abscissa represents critical point (DR), and also referred to as the position of separation, ordinate represents to divide the misjudgement number of being introduced and add erroneous judgement number owing to take critical point that this point is two adjacent ranks.
Fig. 5 is used for searching optimum separation, abscissa represents the position of separation, ordinate represent corresponding misjudgement quantity and erroneous judgement quantity and, the point marking in Fig. 5 is the point of ordinate minimum, i.e. optimum separation, the wherein upper left in Fig. 51, represent " excellent " " good " specification break point, upper right 2 expressions " good " " in " specification break point, lower-left 3 expressions " in " " inferior " specification break point, bottom right 4 represents " inferior " " poor " specification break points.
Referring to table 2, take the premises as separation, again statistical computation false determination ratio and False Rate.By table 2, can be drawn, re-start after boundary point division, false determination ratio and the False Rate of each grade are different, and the degree of accuracy of overall evaluation result rises to 89.7%.
Table 2
By above-mentioned correction, the separation of the breakage rate between the grade redefining, can improve under 800mm detection width the misclassification rate in each section.The breakage rate of revised separation, also can be used for the measurement on other road surface, compares with using the breakage rate of the separation of former grade, can further improve accuracy of detection, reduces misclassification rate.
The present invention also provides a kind of maintenance of surface method, after determining minimum detection width, other road surface to be measured is detected, and according to the breakage rate on other road surface to be measured of described acquisition, corresponding maintenance is carried out in described road surface to be measured.
Because the testing result of the detection width of 800mm approaches the testing result of 2600mm, and precision, index of correlation are higher, and the pavement damage ratio result of identification can be used for determining maintenance scheme.Due to the minimizing of detection width, improved the efficiency of highway maintenance.
For the method for setting forth in each embodiment of the present invention, within the spirit and principles in the present invention all, any modification of doing, be equal to replacement, improvement etc., within all should being included in protection scope of the present invention.
Claims (9)
1. a method for definite pavement detection width, is characterized in that, comprising:
Determine a plurality of different detection width;
While obtaining different detection width, the breakage rate in each unit section; Wherein, each unit section obtains a breakage rate;
Described in each under detection width, determine the grade that the breakage rate in unit section belongs to described in each, and as the grade in this unit section;
The grade in each unit section that the described detection width of width value maximum of usining obtains is as benchmark, the misclassification rate of the grade in whole units section that judgement obtains with described each detection width;
The detection width of minimum when determining misclassification rate and being less than threshold value.
2. method according to claim 1, is characterized in that, after the breakage rate in each unit section on described acquisition road surface, also comprises:
By each detection width, obtain the breakage rate in each unit section on road surface, set up the linear correlation relation between the breakage rate of described breakage rate and described detection width acquisition with described width value maximum;
If determine index of correlation, be not less than 0.95, carry out the step of misclassification rate of grade in the unit section of described this detection width of judgement.
3. method according to claim 1, is characterized in that,
The quantity of described grade comprises arranges a plurality of grades from high to low, between described grade as the corresponding ascending arrangement of breakage rate of separation;
Described misclassification rate comprises False Rate and false determination ratio;
Described False Rate is for to be mistaken for inferior grade by belonging to high-grade unit section;
Described false determination ratio is mistaken for high-grade for belonging to low-grade unit section.
4. method according to claim 3, is characterized in that, described in when determining misclassification rate and being less than threshold value the process of the detection width of minimum comprise:
Determine the detection width of minimum when False Rate and false determination ratio sum are less than threshold value.
5. method according to claim 3, is characterized in that, also comprises: breakage rate and the misclassification rate in each unit section obtaining with the detection width of described minimum, revise the breakage rate as described separation.
6. method according to claim 5, is characterized in that, the process of described correction comprises:
Obtain breakage rate and the misclassification rate in the unit section of adjacent rank, determine misclassification rate breakage rate hour, the breakage rate using this breakage rate as revised described separation.
7. method according to claim 6, is characterized in that, also comprises:
Use grade corresponding to described revised breakage rate, redefine grade and the misclassification rate in each unit section of detection width described in each.
8. method according to claim 7, is characterized in that, also comprises: use the detection width of described minimum to obtain the breakage rate on other road surface to be measured, use the grade under each unit section on the described road surface to be measured of described revised grade judgement; Corresponding maintenance is carried out in described road surface to be measured.
9. method according to claim 1, is characterized in that, the described detection width of width value maximum be not less than described unit section width of roadway 70%.
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