CN103572691A - Road surface depression monitor system - Google Patents
Road surface depression monitor system Download PDFInfo
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- CN103572691A CN103572691A CN201210256183.4A CN201210256183A CN103572691A CN 103572691 A CN103572691 A CN 103572691A CN 201210256183 A CN201210256183 A CN 201210256183A CN 103572691 A CN103572691 A CN 103572691A
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Abstract
A road surface depression monitor system comprises a well cover with a pressure sensor, density inductors, gradient inductors and an information reception processing device; the density inductors are arranged in pairs underground; the distance between the two density inductors in each pair is 50-300 cm; the gradient inductors are arranged underground; the pressure sensor, the density inductors and the gradient inductors are connected with the information reception processing device. The road surface depression monitor system is simple in structure and reliable during working; acquired data is not influenced by weather and environment, and is strong in stability.
Description
Technical field
The present invention relates to a kind of monitoring road conditions technology based on technology of Internet of things, particularly a kind of monitoring system of monitoring pavement of road depression, damaging.
Background technology
Urban road is easy to damage, analyze reason, may be that material therefor and workmanship just have problem when building originally, or cement is not carefully filled up to such an extent as to depression appears in road again in the short time by construction team while overhauling, also have an odjective cause be on ordinary days on Li Congzhetiao road passing vehicle all belong to greatly carrying capacity lorry bigger than normal and truck, after standing for a long time gravity and overstocking, damage degree is naturally more serious than other roads.
No matter be any situation, it is undisputable facts that road damage affects citizens' activities.Finding in time depression, damage situation, repair in time, is the guarantee to road safety.
The situation of prior art has following several:
Adopt the method for manual identification depression can describe out exactly recess feature, but this method not only speed is slow, and under high-speed transit condition also danger close.
Utilize the automatic identification technology of information, video technique, actually rare for the research of depression automatic identification algorithm both at home and abroad, be summed up, for the automatic identification of caving in, can adopt pattern-recognition method, moiréinterferometry, mathematical Morphology Algorithm to realize.The pavement image that employing obtains perpendicular to the camera style on the road surface identification automatically that is difficult for caving in, main cause is that pavement image is plane, therefore in the vertical direction with the INFORMATION OF INCOMPLETE of profile aspect.When taking oblique photograph to obtain pavement image, just may obtain the information of vertical direction and profile aspect.On this basis, take the cutting techniques Equal of the image cut zone based on border to calculate base method, for some quality image, can realize cutting apart of failure area and non-damage territory.But above-mentioned every kind of method has its limitation.Main manifestations is that versatility is not strong, and the high and operation efficiency of technical requirements is lower etc.Road detection vehicle, with pavement damage automatic acquisition equipment, replace the artificial research measuring, France also develops and uses road surface photographic car, scene under the environment that makes to expose to the weather is damaged surveying work and is transferred to indoor to Film processing, and computer carries out artificial interpretation and data record, along with development in science and technology, U.S.'s automation pavement image analyzer and pavement crack evaluation system etc.Intelligent vehicle is realized road surface situation fully automatic high-speed monitoring on the market, and assessment and management decision-making realizes the multiple information synchronous acquisition of multisensor, and with speed of a motor vehicle match control.But utilization cost and actual cost cost based on above technology are all higher, general city cannot penetration and promotion.
Summary of the invention
The object of the invention is to use technology of Internet of things to be applied in the sensor of every field, invent the early warning of a kind of road depression, monitoring system.
For reaching goal of the invention, according to the feature of various sensors, road surface of the present invention depression monitoring system, comprises well lid, density inductor and gradient inductor and the information receiving and processing device with pressure sensor; Density inductor is arranged on below ground, arranges in pairs, and the distance between two density inductors of each centering is 50 ~ 300cm; Gradient inductor is arranged on below ground; Pressure sensor, density inductor and gradient inductor are all connected with information receiving and processing device.
Preferred: gradient inductor is arranged on below ground top layer, middle level and three degree of depth of deep layer.
Further preferably: gradient inductor horizontal arrangement.
The several frequently seen sensor of integrated use of the present invention connects, and real-time surface deformation, the monitoring scheme of depression are provided, simple in structure, and do not need complicated software algorithm to process, error rate is low, and conclusion is reliable, can be for finding that in time road defect provides Data support.
Accompanying drawing explanation
Fig. 1, system construction drawing of the present invention.
The specific embodiment
The structure of native system forms as Fig. 1, comprises well lid 1, density inductor 2 and gradient inductor 3 and the information receiving and processing device 4 with pressure sensor 11; Density inductor 2 is arranged on below ground, arranges in pairs, and the distance between two density inductors of each centering is 50 ~ 300cm; Gradient inductor 3 is arranged on below ground; Pressure sensor 11, density inductor 2 and gradient inductor 3 are all connected with information receiving and processing device 4.
Density inductor 2 detects the soil density of a certain parts, by the distance the present invention relates to, produces a metastable density situation in more among a small circle.When there is not depression, pit in road, a relative density in is more among a small circle that difference is little, when suffering heavy losses to form pit, depression, will inevitably cause the density acute variation within the scope of this, using this as the basis for estimation that occurs pit.
The well lid 1 with pressure sensor is the optimization requirement based on arranging net, and the sewerage system in city is the extremely wide network system of coverage rate.Well lid, as an individual components, has its unique advantage: can be one, without the sensor carrier of secondary construction, pressure sensor is set above, vehicle was pressed can be sensed.And well lid is the article of easily damaging, as monitoring emphasis, increasing pressure sensor 11 is monitoring means of most convenient.
Above-mentioned all the sensors is all connected on information receiving and processing device 4, and all information of obtaining are all gathered, and forms an internet of things.Information receiving and processing device 4 can extension connect various display devices or other communication apparatus, and the comprehensive road condition information of collection is shown to user or road upkeep unit, takes measures to repair in time.
Technical scheme of the present invention is a scheme of not using the Internet of Things sensing technology of image collection and Algorithm Analysis, compare existing based on image and artificial scheme, there is obvious technological progress: detect the physical messages such as underground density, gradient, be not subject to the impact of illumination, weather, reliability is higher.Meanwhile, use be complete sensor assembly networking, compact conformation, networking is convenient.
Claims (3)
1. a road surface depression monitoring system, comprises have pressure sensor well lid (1), density inductor (2) and gradient inductor (3) and the information receiving and processing device (4) of (11); Density inductor (2) is arranged on below ground, arranges in pairs, and the distance between two density inductors of each centering (2) is 50 ~ 300cm; Gradient inductor (3) is arranged on below ground; Pressure sensor (11), density inductor (2) and gradient inductor (3) are all connected with information receiving and processing device (4).
2. a kind of road surface according to claim 1 depression monitoring system, is characterized in that: gradient inductor (3) is arranged on below ground top layer, middle level and three degree of depth of deep layer.
3. a kind of road surface according to claim 1 and 2 depression monitoring system, is characterized in that: gradient inductor (3) horizontal arrangement.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201210256183.4A CN103572691A (en) | 2012-07-24 | 2012-07-24 | Road surface depression monitor system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201210256183.4A CN103572691A (en) | 2012-07-24 | 2012-07-24 | Road surface depression monitor system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN103572691A true CN103572691A (en) | 2014-02-12 |
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201210256183.4A Pending CN103572691A (en) | 2012-07-24 | 2012-07-24 | Road surface depression monitor system |
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| Country | Link |
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| CN (1) | CN103572691A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110541341A (en) * | 2019-09-04 | 2019-12-06 | 山西省交通科技研发有限公司 | Highway structure disease detection device and method based on stable vision |
| CN112267361A (en) * | 2020-10-15 | 2021-01-26 | 合肥清雅装饰工程有限公司 | Road surface level detection device for road construction |
| CN115760779A (en) * | 2022-11-17 | 2023-03-07 | 苏州中恒通路桥股份有限公司 | Road construction supervisory systems based on BIM technique |
-
2012
- 2012-07-24 CN CN201210256183.4A patent/CN103572691A/en active Pending
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110541341A (en) * | 2019-09-04 | 2019-12-06 | 山西省交通科技研发有限公司 | Highway structure disease detection device and method based on stable vision |
| CN110541341B (en) * | 2019-09-04 | 2021-10-22 | 山西省交通科技研发有限公司 | Highway structure disease detection device and method based on stable vision |
| CN112267361A (en) * | 2020-10-15 | 2021-01-26 | 合肥清雅装饰工程有限公司 | Road surface level detection device for road construction |
| CN115760779A (en) * | 2022-11-17 | 2023-03-07 | 苏州中恒通路桥股份有限公司 | Road construction supervisory systems based on BIM technique |
| CN115760779B (en) * | 2022-11-17 | 2023-12-05 | 苏州中恒通路桥股份有限公司 | Road construction supervision system |
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Application publication date: 20140212 |