CN109991400A - A kind of evaluation method of bituminous pavement laser texture meter measured value and sand patch method measured value correlativity - Google Patents

A kind of evaluation method of bituminous pavement laser texture meter measured value and sand patch method measured value correlativity Download PDF

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CN109991400A
CN109991400A CN201910288238.1A CN201910288238A CN109991400A CN 109991400 A CN109991400 A CN 109991400A CN 201910288238 A CN201910288238 A CN 201910288238A CN 109991400 A CN109991400 A CN 109991400A
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measured value
test position
laser texture
data
sand patch
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陈磊磊
钱振东
刘长波
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Southeast University
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/42—Road-making materials

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Abstract

The invention discloses the evaluation methods of a kind of bituminous pavement laser texture meter measured value and sand patch method measured value correlativity, select 100 meters of test sections, it is expert on vehicle wheel path middle line based on laser texture meter and sand patch method and carries out construction depth detection test, obtain laser texture meter measured value (SMTD corresponding with sand patch method measured valueij,MTDij) data；Based on Bland-Altman method to (SMTDij,MTDij) data carry out consistency analysis, rejecting abnormalities test position data, and are fitted the (SMTDY for meeting consistency analysisij,MTDYij) data, obtain the correlativity of laser texture meter measured value Yu sand patch method measured value.The present invention can effectively solve the problems, such as that existing correlation comparative test mistake thinks pavement structural depth uniformity and lack to carry out consistency analysis to measurement result, it can effectively identify and rejecting abnormalities test position data, the more scientific accurate bituminous pavement laser texture meter measured value of foundation and sand patch method measured value correlativity.

Description

A kind of bituminous pavement laser texture meter measured value and sand patch method measured value correlativity Evaluation method
Technical field
The present invention relates to road technology field, especially a kind of bituminous pavement laser texture meter measured value and sand patch method are surveyed It is worth the evaluation method of correlativity.
Background technique
The study found that the quality of Bitumen Pavement Anti-Skid Performance is extremely important to road occupation safety.Bituminous pavement macroscopic view Texture refers generally to the texture of 0.5~50mm of wavelength, 0.5~20mm of short transverse, is the important indicator of Bitumen Pavement Anti-Skid Performance, The anti-slide performance on surface layer is particularly important when to guarantee high speed traveling, therefore realizes that road pavement macro-texture is accurately detected with important Meaning.
In road engineering, sand patch method easy to operate is widely used to detect the construction depth on road surface, to evaluate drip The macro-texture on green road surface, testing principle are by the way that oneself being known to, the normal sand of volume paves in the tested area of the road tested table On domain, the volume of normal sand is then acquired into average value depth as pavement structure divided by the area to pave on test road surface Depth, the method are a kind of sampling Detection methods, and slow, low efficiency that there are speed obtains the disadvantages of data are difficult, especially longer to distance Highway can only select certain section sample investigations, reduce its test result entire section pavement structure is evaluated it is complete Property.For this purpose, also recommended laser texture meter mensuration in engineering now to detect the construction depth on road surface, testing principle is Using the laser range finder of small spot along direction of traffic intensive sampling, vertical profile surface curve is obtained, then according to construction depth meter Calculate model, seek construction depth value, have many advantages, such as test speed it is fast, it is high-efficient, without blocking traffic.
In engineer application, if a kind of new measurement method has the added advantage that, when itself and currently used method survey Result difference is measured in the range that error is subjected to, then it is contemplated that substituting out-of-date methods with new method, but needing before replacing will be to The new method of examination is compared therewith, by the consistency analysis of two methods measurement result, to determine whether the two has Interchangeability.China " highway subgrade pavement on-the-spot test regulation " (JTG E60-2008) regulation laser texture meter is using When need with sand patch method progress correlation comparative test.But the evaluation method has the following problems: first is that mistake thinks to test Section construction depth is that uniformly, two are a lack of the consistency analysis to measurement result and directly establish the related of measurement result and close System.It is closed in consideration of it, urgently proposing that more scientific accurate bituminous pavement laser texture meter measured value is related to sand patch method measured value The evaluation method of system.
Summary of the invention
Technical problem to be solved by the present invention lies in provide a kind of bituminous pavement laser texture meter measured value and sanding The evaluation method of method measured value correlativity can effectively solve existing correlation comparative test mistake and think that pavement structural depth is equal It is even consistent and lack the problem of consistency analysis is carried out to measurement result, can identify with rejecting abnormalities test position data, Establish the correlativity of more scientific accurate bituminous pavement laser texture meter measured value and sand patch method measured value.
In order to solve the above technical problems, the present invention provides a kind of bituminous pavement laser texture meter measured value and sand patch method is surveyed It is worth the evaluation method of correlativity, includes the following steps:
(1) 100 meters of test section is selected, and the vehicle wheel path middle line 10*k that is expert at (k=0,1 ..., 10) 11 points of rice It sets and does paint marks point；
(2) it is expert on vehicle wheel path middle line based on laser texture meter and sand patch method and carries out construction depth detection test, Obtain the laser texture meter measured value of driving wheel path middle line (- 5+10*i) (i=1,2 ..., 10) 10 test positions of rice SMTDijWith sand patch method measured value MTDijCorresponding (SMTDij,MTDij) (i=1,2 ..., 10；J=1,2 ..., m) data, m are each The detection total degree of test position, value are 3~5；
(3) to (SMTDij,MTDij) data carry out consistency analysis, rejecting abnormalities test position data obtain satisfaction one (the SMTDY of cause property analysisij,MTDYij) data；
(4) fitting meets the (SMTDY of consistency analysisij,MTDYij) data, determine laser texture meter measured value and paving The correlativity of sand method measured value.
Preferably, the laser texture meter measured value SMTD in step (2)ijFor the inspection of i-th of test position jth time test It surveys as a result, being calculated by the road surface laser texture data within the scope of (0.25*m) rice each before and after i-th of test position；Sand patch method Measured value MTDijFor the testing result of i-th of test position, j-th of sand patch method measuring point, sand patch method measuring point is before i-th of test position Symmetrical afterwards to lay, the central point of adjacent sand patch method measuring point is spaced 0.5 meter on vehicle wheel path middle line.
Preferably, in step (3), consistency analysis is realized by Bland-Altman method, and calculating process is as follows:
(31) i-th of test position is calculated first uses the jth of laser texture meter and sand patch method time measurement result respectively Difference dijWith mean value pij, then calculate the mean of i-th of test positionAnd according to each test position meanCalculate estimation Bias
dij=SMTDij-MTDij,pij=(SMTDij+MTDij)/2
(32) variance of i-th of test position is calculatedTest overall estimate varianceBy each test position varianceIt closes And it obtains, the variation variance between test positionPass through each test position meanVariance calculate:
(33) upper limit LoA of 100 (1- α) % union bound LoA is calculateduWith lower limit LoAlEstimation is respectively as follows:
Wherein z1-α/2For 100 (α/2 1-) % quantiles of standardized normal distribution, when α takes 0.05, z1-α/2=1.96；
(34) d is drawnijCorresponding pijScatter plot, and add estimation biasUpper limit LoAuWith lower limit LoAlStraight line, root According to dijAbnormal outlier reject corresponding abnormality test position data, reject (SMTDij,MTDij) in abnormality test position (the SMTDY for meeting consistency analysis is obtained after dataij,MTDYij) data.
Preferably, in step (4), correlativity is by meeting (the SMTDY of consistency analysisij,MTDYij) data are fitted It arrives, fitting formula is as follows:
MTDY=aSMTDY+b
Wherein: a, b are fitting coefficient.
The invention has the benefit that (1) by way of being evenly arranged test position, accurate corresponding test data, energy It is enough effectively to identify pavement structural depth exceptional value existing for test section, it solves existing correlation comparative test mistake and thinks road The consistent problem of surface construction uniform depth；(2) detection of bituminous pavement laser texture meter and paving are determined by consistency analysis The interchangeability of sand method, can not only effective rejecting abnormalities test position data, and meeting consistency analysis (SMTDYij,MTDYij) the bituminous pavement laser texture meter measured value established in data basis is related to sand patch method measured value closes It is more scientific and accurate.
Detailed description of the invention
Fig. 1 is that the sand patch method measuring point of the embodiment of the present invention 1 tests arrangement schematic diagram.
Fig. 2 is that the sand patch method measuring point of the embodiment of the present invention 2 tests arrangement schematic diagram.
Fig. 3 is that the laser texture meter measured value of the embodiment of the present invention 1 and the Bland-Altman of sand patch method measured value scheme.
Fig. 4 is that the laser texture meter measured value of the embodiment of the present invention 2 and the Bland-Altman of sand patch method measured value scheme.
Wherein, 1, sand patch method measuring point；2, paint marks point；3, laser texture construction depth calculates when pendulous frequency is 3 times Length (1.5 meters)；4, lane sideline；5, lane center；6, lane sideline；7, wheel path inner edge；8, wheel path middle line；9, Wheel path outer edge；10, laser texture construction depth computational length (2.0 meters) when pendulous frequency is 4 times.
Specific embodiment
Embodiment one
(1) to Mr. Yu's Surface of Trial Pavement first, 100 meters of test section is selected, the vehicle wheel path middle line 10*k that is expert at (k=0, 1 ..., 10) each position does paint marks point；
(2) it is expert on vehicle wheel path middle line based on laser texture meter and sand patch method and carries out construction depth detection test, For the detection total degree m value 3 of each test position, SMTD is by the road surface laser line within the scope of each 0.75 meter before and after each test position Reason data are calculated, and the laying mode of sand patch method measuring point is shown in Fig. 1, and test obtains the laser texture meter of 10 test positions Measured value SMTDijWith sand patch method measured value MTDijCorresponding (SMTDij,MTDij) (i=1,2 ..., 10；J=1,2,3) data, such as table 1 It is shown.
(3) by Bland-Altman method to (SMTDij,MTDij) data progress consistency analysis, it is calculated LoAu=0.191, LoAl=-0.153.Draw dijCorresponding pijScatter plot, and add estimation biasUpper limit LoAuAnd lower limit LoAlStraight line, as shown in Figure 3.It peels off from the figure 3, it may be seen that exception occurs in the d value of test position 4, illustrates that rejecting abnormalities is needed to survey The data of position 4 are tried, the data of remaining 9 test positions are the (SMTDY for meeting consistency analysisij,MTDYij) data.
(4) fitting meets the (SMTDY of consistency analysisij,MTDYij) data, fitting result is as follows:
MTDY=0.789SMTDY+0.145
Laser texture meter measured value and sand patch method measured value result (unit: mm) in 1 embodiment 1 of table
Embodiment two
(1) to Mr. Yu's Surface of Trial Pavement second, 100 meters of test section is selected, the vehicle wheel path middle line 10*k that is expert at (k=0, 1 ..., 10) each position does paint marks point；
(2) it is expert on vehicle wheel path middle line based on laser texture meter and sand patch method and carries out construction depth detection test, For the detection total degree m value 4 of each test position, SMTD is by the road surface laser texture within the scope of each 1 meter before and after each test position Data are calculated, and the laying mode of sand patch method measuring point is shown in that Fig. 2, the laser texture meter that test obtains 10 test positions are surveyed Value SMTDijWith sand patch method measured value MTDijCorresponding (SMTDij,MTDij) (i=1,2 ..., 10；J=1,2,3,4) data, such as table 2 It is shown.
(3) by Bland-Altman method to (SMTDij,MTDij) data progress consistency analysis, it is calculated LoAu=0.287, LoAl=-0.236.Draw dijCorresponding pijScatter plot, and add estimation biasUpper limit LoAuAnd lower limit LoAlStraight line, as shown in Figure 4.As shown in Figure 4, the d value appearance of test position 3 and 6 is abnormal peels off, and illustrates to need rejecting abnormalities The data of test position 3 and 6, the data of remaining 8 test positions are the (SMTDY for meeting consistency analysisij,MTDYij) number According to.
(4) fitting meets the (SMTDY of consistency analysisij,MTDYij) data, fitting result is as follows:
MTDY=0.883SMTDY+0.076
Laser texture meter measured value and sand patch method measured value result (unit: mm) in 2 embodiment 2 of table
The present invention can effectively identify the depth of pavement structure existing for test section it can be seen from above-mentioned two embodiment Exceptional value is spent, solves the problems, such as that existing correlation comparative test mistake thinks pavement structural depth uniformity；Meanwhile passing through one Cause property analyzes the interchangeability for determining bituminous pavement laser texture meter detection and sand patch method, can not only effective rejecting abnormalities Test position data, and in the (SMTDY for meeting consistency analysisij,MTDYij) bituminous pavement established in data basis swashs Light texture meter measured value and sand patch method measured value correlativity are more scientific and accurate.

Claims (4)

1. the evaluation method of a kind of bituminous pavement laser texture meter measured value and sand patch method measured value correlativity, feature exist In including the following steps:
(1) 100 meters of test section is selected, and the vehicle wheel path middle line 10*k that is expert at (k=0,1 ..., 10) 11 positions of rice are done Paint marks point；
(2) it is expert on vehicle wheel path middle line based on laser texture meter and sand patch method and carries out construction depth detection test, obtained Drive a vehicle the laser texture meter measured value SMTD of wheel path middle line (- 5+10*i) (i=1,2 ..., 10) 10 test positions of riceij With sand patch method measured value MTDijCorresponding (SMTDij,MTDij) (i=1,2 ..., 10；J=1,2 ..., m) data, m be each test position The detection total degree set, value are 3~5；
(3) to (SMTDij,MTDij) data carry out consistency analysis, rejecting abnormalities test position data obtain meeting consistency point (the SMTDY of analysisij,MTDYij) data；
(4) fitting meets the (SMTDY of consistency analysisij,MTDYij) data, determine laser texture meter measured value and sand patch method The correlativity of measured value.
2. the evaluation side of bituminous pavement laser texture meter measured value as described in claim 1 and sand patch method measured value correlativity Method, which is characterized in that the laser texture meter measured value SMTD in step (2)ijFor the inspection of i-th of test position jth time test It surveys as a result, being calculated by the road surface laser texture data within the scope of (0.25*m) rice each before and after i-th of test position；Sand patch method Measured value MTDijFor the testing result of i-th of test position, j-th of sand patch method measuring point, sand patch method measuring point is before i-th of test position Symmetrical afterwards to lay, the central point of adjacent sand patch method measuring point is spaced 0.5 meter on vehicle wheel path middle line.
3. the evaluation side of bituminous pavement laser texture meter measured value as described in claim 1 and sand patch method measured value correlativity Method, which is characterized in that in step (3), consistency analysis is realized by Bland-Altman method, and calculating process is as follows:
(31) i-th of test position is calculated first uses the jth of laser texture meter and sand patch method time measurement result difference respectively dijWith mean value pij, then calculate the mean of i-th of test positionAnd according to each test position meanIt is inclined to calculate estimation It leans on
dij=SMTDij-MTDij,pij=(SMTDij+MTDij)/2
(32) variance of i-th of test position is calculatedTest overall estimate varianceBy each test position varianceMerge It arrives, the variation variance between test positionPass through each test position meanVariance calculate:
(33) upper limit LoA of 100 (1- α) % union bound LoA is calculateduWith lower limit LoAlEstimation is respectively as follows:
Wherein z1-α/2For 100 (α/2 1-) % quantiles of standardized normal distribution, when α takes 0.05, z1-α/2=1.96；
(34) d is drawnijCorresponding pijScatter plot, and add estimation biasUpper limit LoAuWith lower limit LoAlStraight line, according to dij Abnormal outlier reject corresponding abnormality test position data, reject (SMTDij,MTDij) in abnormality test position data (the SMTDY for meeting consistency analysis is obtained afterwardsij,MTDYij) data.
4. the evaluation side of bituminous pavement laser texture meter measured value as described in claim 1 and sand patch method measured value correlativity Method, which is characterized in that in step (4), correlativity is by meeting (the SMTDY of consistency analysisij,MTDYij) data are fitted It arrives, fitting formula is as follows:
MTDY=aSMTDY+b
Wherein: a, b are fitting coefficient.
CN201910288238.1A 2019-04-11 2019-04-11 A kind of evaluation method of bituminous pavement laser texture meter measured value and sand patch method measured value correlativity Pending CN109991400A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113313689A (en) * 2021-05-28 2021-08-27 长安大学 Pavement structure depth measuring method, system, equipment and storage medium

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1290851A (en) * 2000-11-03 2001-04-11 华南理工大学 Method for measuring and evaluating depth of road surface construction by digital image technology
CN103310459A (en) * 2013-06-20 2013-09-18 长安大学 Three-dimensional information based detection algorithm for cement concrete pavement structure depth
CN204199158U (en) * 2014-05-29 2015-03-11 中路高科交通科技集团有限公司 A kind of laser construction depth measurement equipment

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1290851A (en) * 2000-11-03 2001-04-11 华南理工大学 Method for measuring and evaluating depth of road surface construction by digital image technology
CN103310459A (en) * 2013-06-20 2013-09-18 长安大学 Three-dimensional information based detection algorithm for cement concrete pavement structure depth
CN204199158U (en) * 2014-05-29 2015-03-11 中路高科交通科技集团有限公司 A kind of laser construction depth measurement equipment

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
姬战勇: "沥青路面构造深度检测技术研究", 《公路交通科技（应用技术版）》 *
缪华章: "基于Bland-Altman法LoA可信区间的一致性评价", 《中国优秀硕士学位论文全文数据库（电子期刊）》 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113313689A (en) * 2021-05-28 2021-08-27 长安大学 Pavement structure depth measuring method, system, equipment and storage medium

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Application publication date: 20190709