CN115595857A - Pavement disease influence range detection device and evaluation method - Google Patents
Pavement disease influence range detection device and evaluation method Download PDFInfo
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- CN115595857A CN115595857A CN202211386750.8A CN202211386750A CN115595857A CN 115595857 A CN115595857 A CN 115595857A CN 202211386750 A CN202211386750 A CN 202211386750A CN 115595857 A CN115595857 A CN 115595857A
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- road surface
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- E—FIXED CONSTRUCTIONS
- E01—CONSTRUCTION OF ROADS, RAILWAYS, OR BRIDGES
- E01C—CONSTRUCTION OF, OR SURFACES FOR, ROADS, SPORTS GROUNDS, OR THE LIKE; MACHINES OR AUXILIARY TOOLS FOR CONSTRUCTION OR REPAIR
- E01C23/00—Auxiliary devices or arrangements for constructing, repairing, reconditioning, or taking-up road or like surfaces
- E01C23/01—Devices or auxiliary means for setting-out or checking the configuration of new surfacing, e.g. templates, screed or reference line supports; Applications of apparatus for measuring, indicating, or recording the surface configuration of existing surfacing, e.g. profilographs
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Abstract
The invention relates to the technical field of road disease detection, in particular to a road disease influence range detection device and an evaluation method, wherein the device comprises a traffic carrier, a laser dynamic deflectometer, a road surface damage detection mechanism and a processor; the laser dynamic bending instrument is fixed on the carrier and used for detecting the road surface bending data; the road surface damage detection mechanism comprises a camera which is fixed on the traffic carrier and is used for shooting road surface images; the processor is fixed in the traffic carrier and is electrically connected with the laser dynamic deflectometer and the pavement damage detection mechanism; the processor is configured to: acquiring deflection data and damage data of a road section; and marking pile numbers on the damaged road surface data, and recording deflection data on two sides of the damaged road surface. The method realizes the analysis and evaluation of the influence of the damaged part and the non-damaged part respectively, can more specifically formulate a treatment scheme of the road sign damage, can realize the improvement of the maintenance efficiency, and saves the maintenance cost.
Description
Technical Field
The invention relates to the technical field of road disease detection, in particular to a pavement disease influence range detection device and an evaluation method.
Background
The road surface diseases refer to various defects of damage, deformation and the like which appear on the road surface after a period of traffic, and common diseases comprise cracks, pits, ruts, subsidence and the like; with the rapid development of road construction career, the pavement maintenance requirement is continuously increased, and in the preparation of pavement maintenance schemes, pavement disease detection data are required to be used as supports;
in the related art, the deflectometer is mostly adopted to detect the road surface, however, when the deflectometer is used for detection, the detection result is mostly to evaluate the whole line of the road surface, and the inventor finds that the deflectometer for current detection can not distinguish the deflectometer of a disease place from the deflectometer of a non-disease place, has an unclear influence range of diseases on the road surface, and can not provide accurate data support for road surface maintenance.
Disclosure of Invention
In view of at least one of the above technical problems, the present invention provides a road surface damage influence range detection device and an evaluation method to improve detection accuracy of a road surface damage influence range.
According to a first aspect of the present invention, there is provided a road surface damage influence range detection device including:
the system comprises a traffic carrier, a laser dynamic deflectometer, a pavement damage detection mechanism and a processor;
the laser dynamic bending instrument is fixed on the carrier and used for detecting the road surface bending data;
the road surface damage detection mechanism comprises a camera which is fixed on the traffic carrier and is used for shooting road surface images;
the processor is fixed in the traffic carrier and is electrically connected with the laser dynamic deflectometer and the pavement damage detection mechanism;
the processor is configured to:
acquiring deflection data and damage data of a road section;
and marking pile numbers on the damaged road surface data, and recording deflection data on two sides of the damaged road surface.
In some embodiments of the present invention, the laser dynamic deflectometer is fixed in the middle of the transportation vehicle, the road surface damage detection mechanism is fixed at the tail of the transportation vehicle, and the distance between the laser dynamic deflectometer and the road surface damage detection mechanism is D.
In some embodiments of the present invention, when the processor marks the stake mark for the road surface damage data, when the detection direction is uplink, the position of the stake mark of the detection result is increased by D, and when the detection direction is downlink, the position of the stake mark of the detection result is decreased by D.
In some embodiments of the present invention, the road surface damage detection mechanism uses a deep learning model to determine the type and location of the defect.
In some embodiments of the present invention, the transportation vehicle is an automobile or a truck.
According to a second aspect of the present invention, there is also provided a pavement disease influence range evaluation method, including the steps of:
acquiring pavement deflection data and pavement damage data;
integrating the pavement deflection data and the damage data, and marking the pile number of the pavement damage data and deflection data on two sides of the pile number;
and acquiring deflection data of two sides by taking the position of the damaged pile as the center, calculating deflection standard deviations at equal intervals from the center to the two sides, and when the deflection standard deviations of the continuous set points are smaller than a set value, taking the range from the center to the outermost point meeting the condition as the influence range of the structural strength of the road surface damage.
In some embodiments of the invention, the continuous set point standard deviation of deflection is less than the set point by less than 5% of the continuous five point member standard deviation of deflection.
In some embodiments of the present invention, the road surface sag data is measured using a laser dynamic deflectometer.
In some embodiments of the present invention, the road surface damage data is identified using a camera for machine learning model.
In some embodiments of the present invention, after determining the structural strength influence range of the pavement damage, range labeling is performed on the damage data image.
The beneficial effects of the invention are as follows: according to the method, the damage of the road surface and the damage of the road surface are accurately positioned one by one through the laser dynamic deflection detection technology and the road surface damage detection technology, so that the influence of damage on the structural strength of the road surface can be evaluated, the influence of the damage on a diseased part and the influence of a non-diseased part are respectively analyzed and evaluated, the degree of the damage is evaluated by determining the influence range of the damage, a treatment scheme for the damage of the road surface can be made in a more targeted manner, the maintenance efficiency can be improved, and the maintenance cost is saved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the description of the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments described in the present invention, and it is also possible for those skilled in the art to obtain other drawings based on the drawings without creative efforts.
FIG. 1 is a schematic structural diagram of a pavement damage influence range detection device in an embodiment of the invention;
FIG. 2 is a flowchart of steps of a method for evaluating an influence range of a pavement disease according to an embodiment of the present invention;
fig. 3 is a schematic diagram of the influence range of pavement diseases in the embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
It will be understood that when an element is referred to as being "secured to" another element, it can be directly on the other element or intervening elements may also be present. When an element is referred to as being "connected" to another element, it can be directly connected to the other element or intervening elements may also be present. The terms "vertical," "horizontal," "left," "right," and the like as used herein are for illustrative purposes only and do not represent the only embodiments.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
The device for detecting the influence range of the pavement damage as shown in fig. 1 comprises a traffic carrier 1, a laser dynamic deflectometer 2, a pavement damage detection mechanism 3 and a processor 4; it will be appreciated that in embodiments of the present invention, the vehicle 1 may take many forms, and may be an automobile, a truck, or an autonomous vehicle;
the laser dynamic deflectometer is fixed on the carrier and used for detecting the deflection data of the road surface, in the embodiment of the invention, the laser dynamic deflectometer 2 is used for measuring the deflection data of the road surface, and the precision is in the order of magnitude of micrometer;
the road surface damage detection mechanism 3 comprises a camera which is fixed on the traffic carrier 1 and is used for shooting road surface images; the road surface damage detection method comprises various modes, namely a mode of identifying photos in the later period of manual work, or a deep learning model can be adopted for training to obtain the road surface damage data, and the road surface damage data can be displayed in a mode of coordinate information or image information; the deep learning model is prior art, and the principle and the training method thereof are not described in detail here.
The processor 4 is fixed in the transportation vehicle 1 and electrically connected to the laser dynamic deflectometer 2 and the road surface damage detection mechanism 3, in the embodiment of the present invention, the processor 4 is configured to: acquiring deflection data and damage data of a road section; and marking pile numbers on the damaged road surface data, and recording deflection data on two sides of the damaged road surface. Like this, through the removal of traffic carrier 1, just can obtain the deflection data on road surface in step to and the deflection data of the damaged stake number in road surface and stake number both sides, through this kind of mode, the staff of being convenient for carries out accurate the accuse to the situation on road surface, distinguishes the deflection data that the disease is in the non-disease department, and then provides more accurate data support for the road surface maintenance.
Based on the above embodiments, in some embodiments of the present invention, as shown in fig. 1, the laser dynamic deflectometer 2 is fixed in the middle of the transportation vehicle 1, the road surface damage detection mechanism 3 is fixed in the tail of the transportation vehicle 1, and the distance between the laser dynamic deflectometer 2 and the road surface damage detection mechanism 3 is D. Through this kind of fixed mode can guarantee the stability of laser dynamic deflection appearance 2 on the one hand, on the other hand can also guarantee that the camera can be clear the picture on shooting road surface. And the distance D between the two is recorded, so that the processing of the later data is facilitated.
Specifically, when the processor 4 marks the stake number on the road surface damage data, when the detection direction is the upward direction, the position of the stake number of the detection result is increased by D, and when the detection direction is the downward direction, the position of the stake number of the detection result is subtracted by D. Through the setting of this kind of mode, can guarantee that the data of damaged road surface department and road surface deflection data represent same department, improve the precision of detection.
The embodiment of the invention also provides a pavement damage influence range evaluation method, which applies the pavement damage influence range detection device and comprises the following steps as shown in fig. 2:
acquiring pavement deflection data and pavement damage data; it is understood that the specific manner of obtaining the road deflection data and the damage data can be understood by those skilled in the art through reading the above description;
integrating the pavement deflection data and the damage data, and marking the pile number of the pavement damage data and deflection data on two sides of the pile number; the integration is that, in the above description, for the ascending and descending, the calculation of the distance D between the laser dynamic deflectometer 2 and the road surface damage detection mechanism 3 and the combination of the two data by adding or subtracting D;
and acquiring deflection data of two sides by taking the position of the damaged pile as the center, calculating deflection standard deviations at equal intervals from the center to the two sides, and when the deflection standard deviations of the continuous set points are smaller than a set value, taking the range from the center to the outermost point meeting the condition as the influence range of the structural strength of the road surface damage.
As particularly shown in fig. 3, in some embodiments of the present invention, a continuous set point sag standard deviation less than the set point is a sag standard deviation between five consecutive points of less than 5%. For example, in some embodiments of the present invention, if the distance between two adjacent monitoring points is 20cm, then the distance between five consecutive monitoring points is 80cm, so please refer to fig. 3 again, and the disease influence range is the range in which the disease center reaches the outermost point of the five consecutive monitoring points.
In the embodiment of the invention, the road surface deflection data is measured by adopting the laser dynamic deflectometer 2. It can be understood that the road surface damage data is recognized by using a camera to perform machine learning model, which can be understood by referring to the above, and will not be described in detail herein.
On the basis of the above embodiments, in some embodiments of the present invention, after determining the structural strength influence range of the pavement damage, range marking is performed on the damaged data image. When marking is specifically carried out, marking can be carried out in a mode of combining the range influence distance with deflection data at a specific coordinate point; or directly mark in an image mode, so that the road condition understanding accuracy is improved, and the reliability of the road surface maintenance scheme is improved.
It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (10)
1. A pavement damage influence range detection device is characterized by comprising a traffic carrier, a laser dynamic deflectometer, a pavement damage detection mechanism and a processor;
the laser dynamic bending instrument is fixed on the carrier and used for detecting the road surface bending data;
the road surface damage detection mechanism comprises a camera which is fixed on the traffic carrier and is used for shooting road surface images;
the processor is fixed in the traffic carrier and is electrically connected with the laser dynamic deflectometer and the pavement damage detection mechanism;
the processor is configured to:
acquiring deflection data and damage data of a road section;
and marking pile numbers on the damaged road surface data, and recording deflection data on two sides of the damaged road surface.
2. The road surface disease influence range detection device according to claim 1, wherein the laser dynamic deflectometer is fixed in the middle of the transportation vehicle, the road surface damage detection mechanism is fixed at the tail of the transportation vehicle, and the distance between the laser dynamic deflectometer and the road surface damage detection mechanism is D.
3. The road surface disease influence range detection device according to claim 2, wherein the processor increases the position of the detection result stake mark by D when the detection direction is up and decreases by D when the stake mark is marked on the road surface damage data.
4. The road surface damage influence range detection device according to claim 1, wherein the road surface damage detection means determines the type and position of the defect using a deep learning model.
5. The pavement damage influence range detection device according to claim 1, wherein the transportation vehicle is an automobile or a truck.
6. A pavement disease influence range evaluation method is characterized by comprising the following steps:
acquiring pavement deflection data and pavement damage data;
integrating the pavement deflection data and the damage data, and marking the pile number of the pavement damage data and deflection data on two sides of the pile number;
and acquiring deflection data of two sides by taking the position of the damaged pile as the center, calculating deflection standard deviations at equal intervals from the center to the two sides, and when the deflection standard deviations of the continuous set points are smaller than a set value, taking the range from the center to the outermost point meeting the condition as the influence range of the structural strength of the road surface damage.
7. The method for evaluating the influence range of a road surface disease according to claim 6, wherein the standard deviation of deflection of the continuous set point is less than 5% when the standard deviation of deflection of the continuous five-point element is less than the set value.
8. The method for evaluating the influence range of a road surface disease according to claim 6, wherein the road surface sag data is measured by a laser dynamic deflectometer.
9. The method of evaluating an influence range of a road surface disease according to claim 8, wherein the road surface damage data is recognized by a machine learning model using a camera.
10. The method of evaluating the influence range of a road surface disease according to claim 9, wherein after the influence range of the structural strength of a road surface disease is determined, a range mark is performed on the damage data image.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211386750.8A CN115595857A (en) | 2022-11-07 | 2022-11-07 | Pavement disease influence range detection device and evaluation method |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211386750.8A CN115595857A (en) | 2022-11-07 | 2022-11-07 | Pavement disease influence range detection device and evaluation method |
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| CN115595857A true CN115595857A (en) | 2023-01-13 |
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| CN202211386750.8A Pending CN115595857A (en) | 2022-11-07 | 2022-11-07 | Pavement disease influence range detection device and evaluation method |
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- 2022-11-07 CN CN202211386750.8A patent/CN115595857A/en active Pending
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