CN103258059A - Transverse crack information processing method and system for expressway bituminous pavement - Google Patents
Transverse crack information processing method and system for expressway bituminous pavement Download PDFInfo
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- CN103258059A CN103258059A CN2013102227231A CN201310222723A CN103258059A CN 103258059 A CN103258059 A CN 103258059A CN 2013102227231 A CN2013102227231 A CN 2013102227231A CN 201310222723 A CN201310222723 A CN 201310222723A CN 103258059 A CN103258059 A CN 103258059A
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Abstract
The invention relates to the technical field of road information maintenance, in particular to a transverse crack information processing method and a transverse crack information processing system for an expressway bituminous pavement. The method comprises the steps that an image of a queried expressway section is acquired and identified, and transverse crack spacings and the transverse crack penetration degree of the queried expressway section are obtained, and fed back to a user terminal for displaying after a query instruction sent by a user is received. The system comprises an image acquisition module, a processing module and a display module. According to the transverse crack information processing method and the transverse crack information processing system of the expressway bituminous pavement, the user can know transverse crack information of the expressway section as long as the queried expressway section is selected; in addition, the transverse crack spacings and the transverse crack penetration degree reflect transverse crack conditions from different sides, so that the user can understand transverse crack conditions of the pavement more comprehensively; and partial analysis work of the user is saved.
Description
Technical field
The present invention relates to road information maintenance technology field, in particular to a kind of asphalt pavement of highway transverse crack information processing method and system.
Background technology
Asphalt pavement of highway with its surfacing, no seam, driving is comfortable, noise is little, advantage such as easy to maintenance is widely used.China highway overwhelming majority adopts the bituminous pavement semi-rigid type base, because many-sided factors such as traffic load, environment, material are independent or combined action, bituminous pavement can produce the breakage of different shape and degree, particularly the crack disease.The generation in crack not only makes the quality of bituminous pavement descend, and the vicious cycle that can bring pavement disease.The crack of bituminous pavement, the most general with transverse crack, also serious.Therefore, how accurately grasping the transverse crack information of highway and accurately reflect highway overall performance situation by transverse crack information, is the technical matters that those skilled in the art need to be resolved hurrily.
And at present, in the correlation technique, though proposed various methods of transverse crack being carried out statistical study, for example amount comments method, matter to comment method etc., but there is not a kind of disposal system that can make things convenient for the user in time to understand the overall condition of highway transverse crack, the user wants to know the transverse crack situation in a certain highway section, often needs to cross the magnanimity data and just can find useful information, comparatively inconvenience.
Summary of the invention
The object of the present invention is to provide asphalt pavement of highway transverse crack information processing method and system, to solve the above problems.
Asphalt pavement of highway transverse crack information processing method is provided in an embodiment of the present invention, has comprised step:
Steps A is gathered the image that is queried the highway section;
Step B identifies described image, obtains the transverse crack spacing and the transverse crack penetration degree that are queried the highway section;
Step C after receiving the query statement that the user sends, feeds back described transverse crack spacing and described transverse crack penetration degree to user terminal and shows.
Wherein, among the described step B described image identified and comprises step:
By the image recognition technology Recognition and Acquisition to described image in be queried length, width, transverse crack sum, each transverse crack length in highway section, the length addition of each transverse crack is obtained the total length of transverse crack.
Wherein, obtain the transverse crack spacing that is queried the highway section among the described step B and comprise step:
According to
Calculate the TCS value, wherein, TCS is the transverse crack spacing, and L is the length that is queried the highway section, and TCN is the transverse crack sum that is queried in the highway section.
Wherein, obtain the transverse crack penetration degree that is queried the highway section among the described step B and comprise step:
According to
Calculate the TWR value, wherein, TCL is the average length that is queried transverse crack in the highway section, and TCTL is the total length that is queried transverse crack in the highway section, and B is the width that is queried the highway section, and TWR is the transverse crack penetration degree.
Wherein, also comprise step after the described step C:
According to
Calculate the TCCI value, wherein, TCCI is the transverse crack evaluation number.
Wherein, also comprise step after the described step calculating TCCI value:
According to
Calculate the TCEI value, wherein, TCEI is, and the transverse crack desired value is added up the fractional value that draws with centesimal system, and a is first calibration coefficient, and b is second calibration coefficient, and c is the 3rd calibration coefficient.
Wherein, also comprise step after the described step calculating TCEI value:
Described TCEI value is fed back to user terminal and show.
The present invention also provides a kind of asphalt pavement of highway transverse crack information handling system, it is characterized in that, comprises image capture module, processing module and display module;
Described image capture module is used for gathering the image that is queried the highway section;
Described processing module is used for described image is identified, and obtains the transverse crack spacing and the transverse crack penetration degree that are queried the highway section;
Described display module is used for feeding back described transverse crack spacing and described transverse crack penetration degree to user terminal and demonstration after receiving the query statement that the user sends.
Wherein, described processing module is used for:
By the image recognition technology Recognition and Acquisition to described image in be queried length, width, transverse crack sum, each transverse crack length in highway section, the length addition of each transverse crack is obtained the total length of transverse crack;
According to
Calculate the TCS value, wherein, TCS is the transverse crack spacing, and L is the length that is queried the highway section, and TCN is the transverse crack sum that is queried in the highway section;
According to
Calculate the TWR value, wherein, TCL is the average length that is queried transverse crack in the highway section, and TCTL is the total length that is queried transverse crack in the highway section, and B is the width that is queried the highway section, and TWR is the transverse crack penetration degree.
Wherein, described display module is used for:
According to
Calculate the TCCI value, wherein, TCCI is the transverse crack evaluation number;
According to
Calculate the TCEI value, wherein, TCEI is, and the transverse crack desired value is added up the fractional value that draws with centesimal system, and a is first calibration coefficient, and b is second calibration coefficient, and c is the 3rd calibration coefficient.
Asphalt pavement of highway transverse crack information processing method and the system of the above embodiment of the present invention, the transverse crack situation that is queried the highway section is carried out image acquisition, pass through image recognition technology, identify the specifying information of transverse crack, draw transverse crack spacing and penetration degree according to these information, after the user sends query statement, then these information are presented at user terminal, like this, the user only need select to be queried the highway section, just can know the information of the transverse crack in this highway section, in addition, compare the comparatively information data that only reflects wind direction crack part situation of bottom, transverse crack spacing and transverse crack penetration degree never ipsilateral have reflected the transverse crack situation, can allow the transverse crack situation of user's road pavement have one comparatively comprehensively to understand, save a part of analytical work of user;
Preferably, also feed back this integrated performance index of TCEI, by the situation of centesimal system form reflection transverse crack, more directly perceived.
Description of drawings
Fig. 1 is the process flow diagram of asphalt pavement of highway transverse crack information processing method of the present invention;
Fig. 2 is the structural representation of asphalt pavement of highway transverse crack information handling system of the present invention.
Embodiment
Also by reference to the accompanying drawings the present invention is described in further detail below by specific embodiment.
Embodiment one
The embodiment of the invention one provides asphalt pavement of highway transverse crack information processing method, referring to shown in Figure 1, comprises step:
Step S110 gathers the image that is queried the highway section.
Image acquisition is mainly gathered by image capture device, for example equipment such as all-purpose road Intelligent Measurement car.
Step S111 identifies described image, obtains the transverse crack spacing and the transverse crack penetration degree that are queried the highway section.
In embodiments of the present invention, image is identified main process is: by the image recognition technology Recognition and Acquisition to described image in be queried length, width, transverse crack sum, each transverse crack length in highway section, the length addition of each transverse crack is obtained the total length of transverse crack.
Described transverse crack, for the vertical substantially crack of direction of traffic.Described vertical substantially, refer to vertical with vehicle heading or angle in preset range, for example, if the angle of the xsect of the trend in crack and road is less than 45 °, then transverse crack is regarded as in this crack.
Step S112 after receiving the query statement that the user sends, feeds back described transverse crack spacing and described transverse crack penetration degree to user terminal and shows.
The present invention is mainly by simulating the distributional pattern of asphalt pavement of highway transverse crack, from vertical distribution density situation and the horizontal order of severity two aspects in crack transverse crack is carried out quantitative evaluation respectively, proposed to characterize vertically distribute subitem evaluation index---transverse crack spacing (the Transverse Crack Spacing of density situation of transverse crack, TCS) and characterize the subitem evaluation index of the horizontal order of severity of transverse crack---and the transverse crack penetration degree (Transverse Crack Width Ratio, TWR).
Wherein, in embodiments of the present invention, before obtaining transverse crack spacing and penetration degree information, need know that described transverse crack information comprises the length of the length in highway section, width, transverse crack sum and each transverse crack.
Preferably, can be queried the image in highway section by the image capture device collection, afterwards by the image recognition technology Recognition and Acquisition to the described image in highway section in length, width, transverse crack sum, each transverse crack length in each highway section, the length addition of each transverse crack is obtained the total length of transverse crack.
Afterwards length, width, transverse crack sum and the length of each transverse crack in described highway section and the total length of transverse crack are stored.
Particularly, the computation process of transverse crack spacing and transverse crack penetration degree is as follows:
According to
Calculate the TCS value, wherein, unless stated otherwise, TCS of the present invention is the transverse crack spacing, and unit is m; L is the length that is queried the highway section, and unit is m; TCN is the transverse crack sum that is queried in the highway section, and unit is bar.
According to
Calculate the TWR value, wherein, unless stated otherwise, TCL of the present invention is the average length that is queried transverse crack in the highway section, and unit is m; TCTL is the total length that is queried transverse crack in the highway section, and unit is m; B is the width that is queried the highway section, and unit is m; TWR is the transverse crack penetration degree.
Preferably, calculate the desired value of transverse crack according to described transverse crack spacing and transverse crack penetration degree, and feed back to user terminal and show.
Transverse crack spacing and transverse crack penetration degree only can reflect the situation of the transverse crack of asphalt pavement of highway from a side, so a kind of comparatively comprehensive achievement data also need be provided, and allow the user go and find out what's going on more intuitively.
Therefore, the embodiment of the invention is by detecting a large amount of asphalt pavement of highway transverse cracks on the basis of data analysis and evaluation, in order to grasp the state of development of road surface transverse crack intuitively more comprehensively, the transverse crack damaged condition in more different highway sections, rely on two transverse crack subitem evaluation indexes that propose, set up asphalt pavement of highway transverse crack comprehensive evaluation index---transverse crack situation index (Transverse Crack Condition Index, TCCI), evaluation method is as follows:
According to
Calculate the TCCI value.
Wherein, TCCI is the transverse crack evaluation number, and TCS and TWR are as previously mentioned.
The embodiment of the invention also provides a desired value TCEI more intuitively.Particularly, providing of the evaluation criterion of this transverse crack situation index is the rule of development analysis result in conjunction with TCCI, TCS and TCL, TWR, is that historical statistical data is formulated according to investigation result, and is the expression of carrying out net result with centesimal system.
Wherein, because TCS has very strong meaning directly perceived, so by gathering investigation result, draw the corresponding TCS value of different evaluation grade critical value; For the bicycle road, according to the analysis result of TWR as can be known, TWR mainly concentrates and is distributed in 0.6～1.0, considers comparatively disadvantageous situation, and fixedly TWR is 0.8.Wherein, the TWR value also can be chosen in other numerical value in its distribution range, and the present invention is 0.8 to be example with TWR, technical scheme of the present invention is described, but be not limited only to this numerical point.
In conjunction with the rule of development of TCCI, determine the transverse crack situation exponential quantity of different score value correspondences, the result is as shown in the table:
| Score value | TCCI | TCS(m) |
| 100 | 1000 | 1000 |
| 90 | 180 | 250 |
| 80 | 100 | 100 |
| 75 | 80 | 80 |
| 70 | 60 | 60 |
| 60 | 40 | 30 |
| 30 | 10 | 5 |
Particularly, according to above-mentioned investigation statistics data, draw the following evaluation computing method of transverse crack:
Afterwards, according to
Calculate the TCEI value, wherein, TCEI is, and the transverse crack desired value is added up the fractional value that draws with centesimal system, and a is first calibration coefficient, and b is second calibration coefficient, and c is the 3rd calibration coefficient.
Wherein, TCEI is transverse crack situation index, dimensionless; TCCI is transverse crack situation index, dimensionless; A is first calibration coefficient, and a is in [100,120], preferably, should get 115.022; B is second calibration coefficient, and b is in [0.1603 ,-0.0834], preferably, should get-0.1397; Preferably c is the 3rd calibration coefficient, and c is in [0.5242,0.6448], preferably, should get 0.5475.
Afterwards, described TCEI value is fed back to user terminal and show.
For each track of highway, TCS is more little, and TWR is more big, and the transverse crack situation on expression road surface is more serious.Pavement crack is the major reason that causes surface evenness to descend, and pavement structure venereal disease evil is general also with the generation in crack.Can know the order of severity of pavement crack by TCEI, can analyze the reason of road surface breakage accordingly, and provide guidance for the special project punishment of pavement crack.Specifically see table for example:
| Evaluation index | Excellent | Very | In | Inferior | Difference |
| TCEI | ≥90 | 80～90 | 70～80 | 60～70 | ＜60 |
| TCCI | ≥180 | 100～180 | 60～100 | 40～60 | ＜40 |
| TCS | ≥250 | 100～250 | 60～100 | 30～60 | ＜30 |
Embodiment two
The embodiment of the invention two provides asphalt pavement of highway transverse crack information handling system, referring to shown in Figure 2, comprises image capture module 1, processing module 2 and display module 3.
Described image capture module 1 is used for gathering the image that is queried the highway section.
Described processing module 2 is used for described image is identified, and obtains the transverse crack spacing and the transverse crack penetration degree that are queried the highway section.
Described display module 3 is used for feeding back described transverse crack spacing and described transverse crack penetration degree to user terminal and demonstration after receiving the query statement that the user sends.
Preferably, in embodiments of the present invention, described processing module 2, be used for by the image recognition technology Recognition and Acquisition to described image be queried length, width, transverse crack sum, each transverse crack length in highway section, the length addition of each transverse crack is obtained the total length of transverse crack.
Described processing module 2 also is used for basis
Calculate the TCS value, wherein, TCS is the transverse crack spacing, and L is the length that is queried the highway section, and TCN is the transverse crack sum that is queried in the highway section;
Basis again
Calculate the TWR value, wherein, TCL is the average length that is queried transverse crack in the highway section, and TCTL is the total length that is queried transverse crack in the highway section, and B is the width that is queried the highway section, and TWR is the transverse crack penetration degree.
Preferably, in embodiments of the present invention, described display module 3 is used for:
According to
Calculate the TCCI value, wherein, TCCI is the transverse crack evaluation number;
According to
Calculate the TCEI value, wherein, TCEI is, and the transverse crack desired value is added up the fractional value that draws with centesimal system, and a is first calibration coefficient, and b is second calibration coefficient, and c is the 3rd calibration coefficient.Each calibration coefficient is described referring to embodiment one, and present embodiment two repeats no more.
In the correlation technique, for considering of transverse crack information, all be with its a kind of COMPREHENSIVE CALCULATING of carrying out as pavement crack class disease.When the crack is estimated, mainly contain two kinds of methods: amount comments method and matter to comment method.
It is that occurrence degree from the crack carries out quantitative evaluation to the crack that amount is commented method, can be used for according to evaluation index etc. over time situation calculate repairing period, wherein cracking rate is to use more a kind of index.Some country adopt area with the asphalt pavement of crack and repairing in the survey method of interval total area proportion as evaluation number.When calculating cracking rate wire fracture width system is considered as the area that 0.3m calculates the crack, perhaps adopts gridding method to determine (gridding method: judging has free from flaw in the scope of 0.5 * 0.5m, with this crack is estimated).
And in the up-to-date maintenance standard " highway technology situation evaluation criteria " (JTG H20-2007) with the part of transverse crack as pavement condition index PCI, multiply by the influence that corresponding weight is measured transverse crack road pavement situation with influence area, influence width and be decided to be 0.2m.In addition, also have a lot of scholars that research was carried out in the evaluation of transverse crack, but most of research is evaluation method with the influence area in crack still.
It is to carry out fracture evaluation from the generation form in crack that matter is commented method, can be used for the selected method for repairing and mending such as kind, occurrence cause by grasping the crack.Can infer the generation shape, position, reason in crack etc. by the classification that the crack is taken place form, determine the maintenance method with this.For ease of understanding the present situation to the evaluation in crack, a kind of classification and evaluation method are to divide large, medium and small three kinds of other orders of severity of level to estimate in the crack.All kinds of breakages after road net then lacks limit, maintenance to load crack, non-load crack, distortion, the surface relevant with material respectively, by do not have, little, in, big four grades judge, then its result's stack is calculated PDI (Pavement Distress Index), recycling PDI goals for is estimated the overview of road net.Best road is percentage, and the most bad road is zero.
Above-mentioned amount comments method and matter to comment method, not specially at the asphalt pavement of highway transverse crack, just analyze qualitatively, or estimating in a certain respect with regard to the crack only, as cracking rate, only estimate from the influence area amount in crack, can't understand fully the distribution situation of crack on the road surface, can not reflect the influence degree of transverse crack road pavement quality all sidedly, have certain limitation.Because its result comprehensively with directly perceived, is difficult to directly use in actual engineering inadequately.
And the technical scheme that the embodiment of the invention provides provides the desired value of transverse crack being carried out multifactorial evaluation, and feeds back to the user, and maintenance, maintenance for asphalt pavement of highway provide important referential data.
Obviously, those skilled in the art should be understood that, above-mentioned each module of the present invention or each step can realize with the general calculation device, they can concentrate on the single calculation element, perhaps be distributed on the network that a plurality of calculation elements form, alternatively, they can be realized with the executable program code of calculation element, thereby, they can be stored in the memory storage and be carried out by calculation element, perhaps they are made into each integrated circuit modules respectively, perhaps a plurality of modules in them or step are made into the single integrated circuit module and realize.Like this, the present invention is not restricted to any specific hardware and software combination.
The above is the preferred embodiments of the present invention only, is not limited to the present invention, and for a person skilled in the art, the present invention can have various changes and variation.Within the spirit and principles in the present invention all, any modification of doing, be equal to replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (10)
1. asphalt pavement of highway transverse crack information processing method is characterized in that, comprises step:
Steps A is gathered the image that is queried the highway section;
Step B identifies described image, obtains the transverse crack spacing and the transverse crack penetration degree that are queried the highway section;
Step C after receiving the query statement that the user sends, feeds back described transverse crack spacing and described transverse crack penetration degree to user terminal and shows.
2. asphalt pavement of highway transverse crack information processing method according to claim 1 is characterized in that, among the described step B described image is identified to comprise step:
By the image recognition technology Recognition and Acquisition to described image in be queried length, width, transverse crack sum, each transverse crack length in highway section, the length addition of each transverse crack is obtained the total length of transverse crack.
3. asphalt pavement of highway transverse crack information processing method according to claim 2 is characterized in that, obtains the transverse crack spacing that is queried the highway section among the described step B and comprises step:
According to
Calculate the TCS value, wherein, TCS is the transverse crack spacing, and L is the length that is queried the highway section, and TCN is the transverse crack sum that is queried in the highway section.
4. asphalt pavement of highway transverse crack information processing method according to claim 3 is characterized in that, obtains the transverse crack penetration degree that is queried the highway section among the described step B and comprises step:
According to
Calculate the TWR value, wherein, TCL is the average length that is queried transverse crack in the highway section, and TCTL is the total length that is queried transverse crack in the highway section, and B is the width that is queried the highway section, and TWR is the transverse crack penetration degree.
5. asphalt pavement of highway transverse crack information processing method according to claim 4 is characterized in that, also comprises step after the described step C:
According to
Calculate the TCCI value, wherein, TCCI is the transverse crack evaluation number.
6. asphalt pavement of highway transverse crack information processing method according to claim 5 is characterized in that, also comprises step after the described calculating TCCI value:
According to
Calculate the TCEI value, wherein, TCEI is, and the transverse crack desired value is added up the fractional value that draws with centesimal system, and a is first calibration coefficient, and b is second calibration coefficient, and c is the 3rd calibration coefficient.
7. asphalt pavement of highway transverse crack information processing method according to claim 6 is characterized in that, also comprises step after the described calculating TCEI value:
Described TCEI value is fed back to user terminal and show.
8. asphalt pavement of highway transverse crack information handling system is characterized in that, comprises image capture module, processing module and display module;
Described image capture module is used for gathering the image that is queried the highway section;
Described processing module is used for described image is identified, and obtains the transverse crack spacing and the transverse crack penetration degree that are queried the highway section;
Described display module is used for feeding back described transverse crack spacing and described transverse crack penetration degree to user terminal and demonstration after receiving the query statement that the user sends.
9. asphalt pavement of highway transverse crack information handling system according to claim 8 is characterized in that described processing module is used for:
By the image recognition technology Recognition and Acquisition to described image in be queried length, width, transverse crack sum, each transverse crack length in highway section, the length addition of each transverse crack is obtained the total length of transverse crack;
According to
Calculate the TCS value, wherein, TCS is the transverse crack spacing, and L is the length that is queried the highway section, and TCN is the transverse crack sum that is queried in the highway section;
According to
Calculate the TWR value, wherein, TCL is the average length that is queried transverse crack in the highway section, and TCTL is the total length that is queried transverse crack in the highway section, and B is the width that is queried the highway section, and TWR is the transverse crack penetration degree.
10. asphalt pavement of highway transverse crack information handling system according to claim 9 is characterized in that described display module is used for:
According to
Calculate the TCCI value, wherein, TCCI is the transverse crack evaluation number;
According to
Calculate the TCEI value, wherein, TCEI is, and the transverse crack desired value is added up the fractional value that draws with centesimal system, and a is first calibration coefficient, and b is second calibration coefficient, and c is the 3rd calibration coefficient.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110161078A (en) * | 2019-05-13 | 2019-08-23 | 安徽建筑大学 | A kind of detection and evaluation method of the infra-red inspection for Modified Bitumen Pavement |
| CN111524038A (en) * | 2020-04-28 | 2020-08-11 | 朱晶磊 | Asphalt paving management system and method based on big data |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1563891A (en) * | 2004-04-20 | 2005-01-12 | 长安大学 | System and method for discriminating road gap |
| CN103091480A (en) * | 2013-01-07 | 2013-05-08 | 河北工业大学 | Entropy weight-based underground road bituminous pavement service performance evaluation method |
-
2013
- 2013-06-05 CN CN2013102227231A patent/CN103258059A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1563891A (en) * | 2004-04-20 | 2005-01-12 | 长安大学 | System and method for discriminating road gap |
| CN103091480A (en) * | 2013-01-07 | 2013-05-08 | 河北工业大学 | Entropy weight-based underground road bituminous pavement service performance evaluation method |
Non-Patent Citations (2)
| Title |
|---|
| LAN ZHOU ETC.: "Evaluation Method for Transverse Cracking in Asphalt Pavements on Freeways", 《TRANSPORTATION RESEARCH RECORD》 * |
| 金刚，刘强: "高速公路沥青路面大修养护标准及对策分析", 《现代交通技术》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110161078A (en) * | 2019-05-13 | 2019-08-23 | 安徽建筑大学 | A kind of detection and evaluation method of the infra-red inspection for Modified Bitumen Pavement |
| CN110161078B (en) * | 2019-05-13 | 2021-09-10 | 安徽建筑大学 | Detection and evaluation method for infrared flaw detection of modified asphalt pavement |
| CN111524038A (en) * | 2020-04-28 | 2020-08-11 | 朱晶磊 | Asphalt paving management system and method based on big data |
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