CN203551478U - Automatic detection device for pavement damage - Google Patents
Automatic detection device for pavement damage Download PDFInfo
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- CN203551478U CN203551478U CN201320688920.8U CN201320688920U CN203551478U CN 203551478 U CN203551478 U CN 203551478U CN 201320688920 U CN201320688920 U CN 201320688920U CN 203551478 U CN203551478 U CN 203551478U
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Abstract
The utility model discloses an automatic detection device for pavement damage. The automatic detection device comprises a power supply, a camera, an image collection card, a speed sensor, a lighting device, a computer and a global position system (GPS) positioning module, wherein image information collected by the camera is stored and transferred to the computer through the image collection card; the speed sensor and the GPS positioning module are respectively connected with the computer; the power supply is respectively connected with the camera, the speed sensor, the computer, the lightening device and the GPS positioning module. The device can carry out the real-time rapid detection on the pavement damage, automatically identifies and classifies a damaged pavement, automatically outputs indexes such as the pavement damage rate, and pavement condition indexes, and generates a pavement damage format. By adopting the automatic detection device, the problems of absence of the uniform standard in measurement results caused by long-term manual detection, low work efficiency caused by long collection and measurement time, difficult approval of measurement data caused by incomplete original data, and the like are solved.
Description
Technical field
The utility model belongs to Road Detection technical field, specifically the damaged automatic detection device of a kind of road surface road.
Technical background
In use often there are various infringements in road surface, not only affect structure usability and the structural bearing capacity on road surface, also can have influence on Pavement Condition, its usability is directly connected to the level of the services such as comfortableness that road provides for user, security, agility, is related to the serviceable life of road itself.It is all the emphasis link of maintenance of surface quality detection work that road surface breakage detects all the time, is also a part of workload maximum simultaneously.According to damaged index, highways at different levels are carried out regularly detecting and evaluating, for pavement maintenance management department provides true and reliable testing result, seemed more and more important.At present, both at home and abroad for the metering system of road surface breakage mainly contain the observation of walking human eye, by bus record a video screen survey read, videographic measurment etc.
The observation of walking human eye is the most original method, by human eye, observes and coordinates simple survey instrument observation pavement destruction situation, carries out relative recording simultaneously.The defect of this mode: data that statistics is come are coarse, error is larger, and human factor is more, and pavement destruction situation is described not directly perceived, particularly for the section of badly broken, more heavy staff's workload.
The screen of recording a video is by bus surveyed and to be read may occur overlapping statistics for wider section data, adds in addition the uncertain factors such as jolting of getting on the bus, and makes camera picture unstable, easily makes people tired and misjudgement occurs fail to judge during the indoor statistics of staff.
Camera detection be by be arranged on the special type measured on automobile fast or high-speed camera by certain speed and certain camera angle, by various disease typing camera tapes specified on road surface, then at the scene or indoor fast processing become a kind of detection technique of data.Survey pronunciation with the screen of recording a video by bus and compare, this technology has had certain progress, has improved work efficiency.The external existing device that adopts camera technique to carry out pavement detection technology, domestic in this respect also in the development stage, the method has certain advance, also lower on cost.
Summary of the invention
For the defect existing in above-mentioned prior art or deficiency, the purpose of this utility model is, road surface breakage automatic detection device in one is provided, this device can detect real-time in road pavement breakage, damaged road surface is automatically identified, sorted out, and automatically export the indexs such as pavement damage ratio, pavement condition index, generate road surface breakage form.The utility model solved the measurement result that causes by manual detection for a long time without unified standard, gather that measurement length consuming time causes that work efficiency is low, source book is imperfect causes the problems such as measurement data is difficult to check and approve.
To achieve these goals, the utility model adopts following technical scheme to solve:
A road surface breakage automatic detection device, comprises power supply, camera, image pick-up card, speed pickup, lighting device, computing machine and GPS locating module; Wherein, the image information of described camera collection is stored and is transferred to computing machine by image pick-up card, and described speed pickup is connected respectively computing machine with GPS locating module; Described power supply connects respectively camera, speed pickup, computing machine, lighting device and GPS locating module.
The utility model also comprises following other technologies feature:
Described camera adopts the linear array scanning CCD camera that resolution is 2k.
Described image pick-up card adopts the IEEE1394b image pick-up card by Apple.
Described speed pickup adopts the sensor that model is XSA-V11801.
Described computing machine adopts the industrial computer that model is IPPC-4000D.
Described power acquisition 12V lead-acid accumulator.
Described GPS positioning module adopts GPS76 module.
Described lighting device adopts LED lamp.
Accompanying drawing explanation
Fig. 1 is structured flowchart of the present utility model.
Fig. 2 is fundamental diagram of the present utility model.
Fig. 3 is the image processing program process flow diagram of computing machine.
Below in conjunction with the drawings and specific embodiments, the utility model is described in further details.
Embodiment
With reference to Fig. 1, the utility model road surface breakage automatic detection device, comprises power supply, camera, image pick-up card, speed pickup, lighting device, computing machine and GPS locating module; Wherein, the image information of camera collection is stored and is transferred to computing machine by image pick-up card, and speed pickup is connected respectively computing machine with GPS locating module; Power supply connects respectively camera, speed pickup, computing machine, lighting device and GPS locating module.
Camera is used for gathering pavement image data, and it adopts resolution is linear array scanning CCD (electric charge coupling) camera of 2k.
Image pick-up card, for storing and shift the image information that camera collection arrives, adopts the IEEE1394b image pick-up card of being developed by Apple.
Speed pickup, for measuring the speed of collection vehicle, adopts the sensor that model is XSA-V11801.
Computing machine, for image information is processed, adopts the industrial computer that model is IPPC-4000D.
Power supply is used to device power supply, adopts 12V lead-acid accumulator.
GPS locating module is for demarcating the accurate geographic position of the pavement image with road surface breakage feature, so that follow-up maintenance, GPS locating module adopts GPS76 module.
Lighting device is for the illumination in testing process, and it adopts high-brightness LED lamp.
During actual use, camera is arranged on and is detected on automobile, speed pickup is arranged on the wheel shaft that detects automobile, and lighting device is arranged on and detects the afterbody of automobile and be positioned at camera below.
With reference to Fig. 2, the course of work of the present utility model is as follows:
Camera Real-time Collection pavement image data, change light signal into electric signal, then, through A/D signal conversion, obtain digital picture, and store the image in frame buffer memory, by Image Saving in image pick-up card.Utilize image pick-up card by camera collection to image information transfer on computing machine, computing machine utilizes the image processing software of self installing to process image information, information and setting threshold after processing are compared, identify the types of fractures on road surface and determine its geographic position by GPS locating module, and carrying out data demonstration and output as required.
With reference to Fig. 3, computing machine according to client's requirement to processing such as picture extract, strengthens and cuts apart to meet actual needs.Idiographic flow implementation process:
(1) read the damaged information of the road gathering being stored in hard disk.
(2) algorithm for image enhancement principle: because the marginal information of image is the region of gradient sudden change, be sensitizing range.When carrying out figure image intensifying, by gradient operator, first determine the pixel of sensitizing range, and then utilize fuzzy enhancement algorithm to carry out image enhancement processing to the pixel of sensitizing range, by self-defined operator, automatically calculate the best simultaneously and get over a little.
(3) computing machine adopts histogram thresholding split plot design to choose the required threshold value of binaryzation.Basic ideas are: if gray level histogram is obvious bimodal shape, choose the two corresponding gray levels in peak-to-peak the lowest point as threshold value.
(4) use the processing of first two steps to image, judge whether operation result meets client's requirement, with this, judge whether again analyze or finish.
Claims (8)
1. a road surface breakage automatic detection device, is characterized in that, comprises power supply, camera, image pick-up card, speed pickup, lighting device, computing machine and GPS locating module; Wherein, the image information of described camera collection is stored and is transferred to computing machine by image pick-up card, and described speed pickup is connected respectively computing machine with GPS locating module; Described power supply connects respectively camera, speed pickup, computing machine, lighting device and GPS locating module.
2. road surface breakage automatic detection device as claimed in claim 1, is characterized in that, described camera adopts the linear array scanning CCD camera that resolution is 2k.
3. road surface breakage automatic detection device as claimed in claim 1, is characterized in that, described image pick-up card adopts the IEEE1394b image pick-up card by Apple.
4. road surface breakage automatic detection device as claimed in claim 1, is characterized in that, described speed pickup adopts the sensor that model is XSA-V11801.
5. road surface breakage automatic detection device as claimed in claim 1, is characterized in that, described computing machine adopts the industrial computer that model is IPPC-4000D.
6. road surface breakage automatic detection device as claimed in claim 1, is characterized in that, described power acquisition 12V lead-acid accumulator.
7. road surface breakage automatic detection device as claimed in claim 1, is characterized in that, described GPS positioning module adopts GPS76 module.
8. road surface breakage automatic detection device as claimed in claim 1, is characterized in that, described lighting device adopts LED lamp.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201320688920.8U CN203551478U (en) | 2013-10-26 | 2013-10-26 | Automatic detection device for pavement damage |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201320688920.8U CN203551478U (en) | 2013-10-26 | 2013-10-26 | Automatic detection device for pavement damage |
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| Publication Number | Publication Date |
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| CN203551478U true CN203551478U (en) | 2014-04-16 |
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| CN201320688920.8U Expired - Fee Related CN203551478U (en) | 2013-10-26 | 2013-10-26 | Automatic detection device for pavement damage |
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104655639A (en) * | 2014-12-23 | 2015-05-27 | 北京恒达锦程图像技术有限公司 | Pavement crack detection method capable of accurately acquiring crack characteristics and pavement crack detection system capable of accurately acquiring crack characteristics |
| CN105516690A (en) * | 2016-01-28 | 2016-04-20 | 北京金久瑞科技有限公司 | System for monitoring photographing unit |
| CN105891220A (en) * | 2016-06-02 | 2016-08-24 | 昆山市交通工程试验检测中心有限公司 | Pavement marker line defect detecting device and detecting method thereof |
| CN106514611A (en) * | 2017-01-14 | 2017-03-22 | 许建芹 | Highway detection robot |
| CN107798293A (en) * | 2017-09-20 | 2018-03-13 | 罗明帅 | A kind of crack on road detection means |
| CN108803312A (en) * | 2018-04-19 | 2018-11-13 | 彭楷文 | A kind of new road damage detecting system |
| CN112880627A (en) * | 2019-11-29 | 2021-06-01 | 丰田自动车株式会社 | Road surface damage detection device, road surface damage detection method, and medium |
-
2013
- 2013-10-26 CN CN201320688920.8U patent/CN203551478U/en not_active Expired - Fee Related
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104655639A (en) * | 2014-12-23 | 2015-05-27 | 北京恒达锦程图像技术有限公司 | Pavement crack detection method capable of accurately acquiring crack characteristics and pavement crack detection system capable of accurately acquiring crack characteristics |
| CN105516690A (en) * | 2016-01-28 | 2016-04-20 | 北京金久瑞科技有限公司 | System for monitoring photographing unit |
| CN105891220A (en) * | 2016-06-02 | 2016-08-24 | 昆山市交通工程试验检测中心有限公司 | Pavement marker line defect detecting device and detecting method thereof |
| CN106514611A (en) * | 2017-01-14 | 2017-03-22 | 许建芹 | Highway detection robot |
| CN107798293A (en) * | 2017-09-20 | 2018-03-13 | 罗明帅 | A kind of crack on road detection means |
| CN108803312A (en) * | 2018-04-19 | 2018-11-13 | 彭楷文 | A kind of new road damage detecting system |
| CN108803312B (en) * | 2018-04-19 | 2021-07-09 | 西安交通大学 | Novel road damage detecting system |
| CN112880627A (en) * | 2019-11-29 | 2021-06-01 | 丰田自动车株式会社 | Road surface damage detection device, road surface damage detection method, and medium |
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| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20140416 Termination date: 20161026 |
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| CF01 | Termination of patent right due to non-payment of annual fee |