TW201924284A - Method and system for monitoring road pavement quality - Google Patents

Abstract

A method and a system for monitoring road pavement quality are used to determine the repair is demanded or not, by utilizing a smart identifying to gain relay data of road pavement. A standard of road repair is determined by calculating a completeness of road marking and a coverage of potholes, quantizing a relation between road and potholes, and combining a traffic stream variation, so as to predict a timing for performing the road repair. Wherein the system includes a monitoring camera module for supporting a smart image identifying function, a relay data gaining module, a database for storing the relay data, and a road pavement quality calculation module.

Description

Method and system for monitoring road pavement quality

The invention relates to a method and a system for monitoring road pavement quality monitoring, which utilizes intelligent image recognition to determine whether the road section needs road repair, and predicts the timing of road repairing according to the traffic flow change degree of the road section.

Traffic is the lifeblood of urban development. In addition to affecting the traffic capacity of the region, the quality of the road also deeply affects the traffic safety of the region. However, the monitoring of most road quality is only through the local residents or by means of notification by passers-by. Although the human notification is still possible, there are the following problems: First, the judgment criteria of different people on whether the road needs to be repaired or not The same, so the road condition notification does not have a standard of judgment; Second, there will be a high risk factor for the road between the public and the relevant units for repair; third, if there is no public notification, the road will always be dangerous. Factor, and the continued use of the road segment by the vehicle will cause the risk factor to accelerate and expand.

In addition, although there are many factors affecting the quality of road pavement, if you consider the factors that can really affect the use of passers-by and can be monitored, you can limit the two parameters of the marking line and the pit. Test indicators. The existence of potholes is self-evident for the use of passers-by, and the marking is an important reference for guiding passers-by. The markings generally have important road locations. When the quality of the markings changes, the markings may need to be cured. In addition, it usually represents a problem with the quality of road pavement, so the marking can also be regarded as an important reference indicator.

However, most of the current technology systems use the detector to monitor the quality of the road surface to collect road quality information. Although the road quality can be grasped slightly in practice, it is impossible to effectively grasp the road surface changes. Some conventional technologies collect road information through information gathering vehicles (such as the Republic of China). Patent Application Publication No. 201624439 (Patent Application No. 201624439), but many of the changes in traffic flow are not included in the consideration of pavement changes, so it is impossible to effectively predict the timing of road repair.

It can be seen that there are still many shortcomings in the above-mentioned methods of use, which is not a good design, but needs to be improved.

In view of the shortcomings derived from the above-mentioned conventional methods, the inventor of the present invention has improved and innovated, and after years of painstaking research, he finally successfully developed and completed the road pavement quality monitoring system and method.

The road pavement quality monitoring system that achieves the above-mentioned invention aims to perform the interpretation of the marking line integrity, the marking position, the pothole coverage, the pothole position and the traffic flow for the road image of the camera irradiation position through the intelligent image recognition technology. , converted into relay data for calculation, and stored in the relay data storage database.

The invention relates to a system for monitoring road pavement quality, comprising: a monitoring photography module for acquiring road images and traffic images, and transmitting the images; and a relay data capturing module for receiving from the Monitoring the road image of the photographic module and the traffic image to extract the reticle relay data, the pit relay data, and the traffic relay data; and the relay data storage database for storing the reticle relay The data, the tunnel relay data and the traffic relay data; the road pavement quality calculation module is configured to calculate the reticle relay data stored in the predetermined time, the tunnel relay data, and the traffic relay Data, in order to obtain the change of the marking line, the degree of change of the pit, the degree of change of the traffic flow, and the relationship between the pit and the marking, and the degree of change of the marking, the degree of variation of the pit, and the relationship between the pit and the marking. Calculate the road hazard value μ _{n as} follows: μ _n =| M _n - M _s | * W _M + P _n * W _P * R _MP , where M _n is the reticle to calculate the nth day of the complete line Degree, M _s is the reticle to calculate the baseline completeness of the base date, W _M For the preset reticle weight value, P _n is the pit coverage, W _P is the preset pit weight value, R _{MP is} the pit and the reticle relationship; by the road hazard value μ _n and the traffic flow The relay data predicts the timing of repairing the road δ, wherein the hole coverage rate identifies the proportion of the hole occupying the picture in the road image through the image, the degree of change of the marked line is the degree of change of the marked line with time, and the degree of change of the pit is the hole cover The rate of change over time.

The present invention further provides a method for monitoring the quality of a road pavement, the method comprising: obtaining a road image and a traffic image through a surveillance camera module to transmit the image to a relay data capture module; and capturing the module through the relay data The group extracts the road image and the traffic image to extract the reticle relay data, the pit relay data and the traffic relay data, and stores the data in the relay data storage database; and calculates the predetermined time by the road pavement quality calculation module The stored reticle relay data, the crater relay data, and the traffic relay data are obtained to obtain a retracement change degree, a pit change degree, a traffic flow change degree, and a relationship between the pit hole and the reticle, and change according to the reticle Degree, the degree of change of the pothole, and the relationship between the pothole and the reticle, the road risk value μ _{n is} calculated by the following formula: μ _n =| M _n - M _s | * W _M + P _n * W _P * R _MP , M _n is the reticle completeness of the nth day, M _s is the reticle integrity of the reticle calculation base date, W _M is the preset reticle weight, P _n is the pit coverage, W _P is the preset pit weight value, R _{MP is} the pit and the marking Relationship; predicting the timing of repairing the road δ by the road hazard value μ _n and the traffic flow relaying data.

The system for monitoring the quality of road pavement as described above, wherein the repair timing δ is: , where μ _t is the maximum road hazard value, μ _s is the road hazard value of the calculation start date (reference day), μ _n is the road hazard value of the calculation day (nth day), and F _s is the calculation start date ( The total traffic volume on the base date, F _n is the total traffic volume on the calculation day (day n), and C is the average daily increase.

The system and method for monitoring road pavement quality as described above, wherein the surveillance camera module comprises at least one surveillance camera.

The system and method for monitoring the quality of a road pavement as described above, wherein the relay data capture module captures the road image and the traffic image as the reticle relay data in the pothole through intelligent image recognition Following the data and the traffic relay data.

The system and method for monitoring road pavement quality as described above, wherein the road pavement quality calculation module comprises: a change degree operation unit, which is used for transporting Calculating the degree of change of the marking, the degree of change of the pit, the degree of change of the traffic flow; the relational computing unit calculates the relationship between the pit and the marking; and the prediction unit of the road repairing time, calculates the quality of the pavement, and predicts the timing of the repairing .

The object of the present invention is to provide a quantifiable standard for road pavement quality monitoring, which utilizes intelligent image recognition technology to capture relay data of road image illuminated by a camera, including road marking changes, pit changes, and calculation of changes. The relationship between degrees and the value of the road is taken as a criterion for whether the road needs to be repaired.

The second object of the present invention is to obtain the road hazard value obtained by the foregoing technique, and to estimate the timing of the road section to be repaired by calculating the relationship between the road hazard value and the traffic flow change.

100‧‧‧Monitor camera module

200‧‧‧Relay data acquisition module

300‧‧‧Relay data storage database

400‧‧‧ Road paving quality calculation module

210‧‧‧Marking line relay data acquisition unit

220‧‧‧Break relay data acquisition unit

230‧‧‧Car flow relay data acquisition unit

410‧‧‧Variation unit

420‧‧‧ Relational unit

430‧‧‧Renovation time-course prediction unit

Beginning of S400‧‧

S401‧‧‧Get road image relay information

S402‧‧‧ Calculate the change of marking

S403‧‧‧Compute the degree of pothole change

S404‧‧‧Compute the relationship between pit and marking

S405‧‧‧ Calculate road hazard values

S406‧‧‧ Calculate the change in traffic flow

S407‧‧‧Predicting road repair timing

The technical contents of the present invention and the effects of the objects of the present invention can be further understood by referring to the detailed description of the present invention and the accompanying drawings. FIG. 1 is a schematic structural diagram of a system for monitoring road pavement quality according to the present invention.

Figure 2 is a schematic flow chart of a method of monitoring road pavement quality of the present invention.

The technical features, contents, and advantages of the present invention, as well as the advantages thereof, can be understood by the reviewing committee, and the present invention will be described in detail with reference to the accompanying drawings. The subject matter is only for the purpose of illustration and supplementary instructions. It is not necessarily the true proportion and precise configuration after the implementation of the invention. Therefore, the proportion and configuration of the attached drawings should not be The scope of the rights of the present invention in actual implementation is explained and limited.

Please refer to FIG. 1 , which is a schematic structural diagram of a system for monitoring road pavement quality according to the present invention, which includes a surveillance camera module 100 , a relay data capture module 200 , and a relay data storage . The database 300 and a road paving quality calculation module 400 are provided. The monitoring camera module 100 transmits the image data of the road to the relay data capturing module 200, and captures the relay data through the smart image recognition technology, including capturing the marking line by the marking line relay data capturing unit 210. Degree and reticle position, pit hole relay data capturing unit 220 captures pothole coverage and pothole position, and traffic flow data acquisition unit 230 captures traffic flow, etc., to be converted into operation The data is relayed, and each relay data is stored in the relay data storage database 300. The road pavement quality calculation module 400 extracts the relay data of the relay data storage database 300 for calculation, and the degree of change operation unit 410 calculates the degree of change of the reticle with the integrity of the reticle and calculates the change of the pit with the hole coverage. The degree operation unit 420 calculates the relationship coefficient between the reticle and the pothole by the reticle position and the pothole position, and the repair time history prediction unit 430 determines the relationship between the reticle change degree, the pit change degree, and the reticle and the pothole. The coefficient calculates the road hazard value, which can be used to estimate the time required to reach the maximum hazard value, and use this hazard value and traffic flow to calculate the timing of the road repair.

Please refer to FIG. 2, which is a schematic flow chart of the method for monitoring road pavement quality according to the present invention. The operation steps are as follows: the program starts S400, first obtains road image relay data S401 from the database, and the marking line is complete. The degree data is used to calculate the mark change degree S402, and the hole cover degree is used to calculate the hole change degree S403, and the pit hole is calculated by the position of the mark line and the position of the pothole. The reticle relationship coefficient S404 is used to calculate the road risk value S405 according to the reticle change degree, the pit change degree, and the pit and reticle relationship coefficient. According to the present invention, the traffic flow change degree S406 is calculated by acquiring the traffic flow relay data in the road image relay data S401 from the database, and the road repair timing S407 is predicted in relation to the road risk value.

In an actual case illustrating the application of the invention, the road hazard value μ _n can be calculated according to the following formula: μ _n =| M _n - M _s | * W _M + P _n * W _P * R _MP

Where M _n is the reticle completeness of the nth day, M _s is the reticle integrity of the reticle calculation base date, W _M is the preset reticle weight value, P _n is the pit coverage, W _P is the preset pit weight value, R _{MP is} the relationship between the pit and the marking, and can be adjusted to the integrity of any date according to the actual demand.

Suppose (x-th day) road image captured a certain day of camera information obtained by the respective relay via the relay module are as follows: a complete marking of the reference date M _s is 100% integrity of the standard line x days M _n was 90%, P _n pit coverage of 15%, the relationship between the pit and the reticle R _MP 1.15, marking the segment of the right weight value is 0.4 W _M, W _P pit weight value of 0.6, calculated Available road hazard values are: μ _x =|0.9-1.0| * 0.4+0.15 * 0.6 * 1.15=0.1435

After one month (day x +30), the road image of the camera is obtained through the relay data acquisition module. The relay data is as follows: the completeness of the marking line M _s is 100%, and the x + 30th day integrity of the reticle M _n of 85%, P _n pit coverage of 21%, the relationship between the pit and the reticle R _MP 1.22, the section of the standard weight value is 0.4 W _M, pit weight value of W _P 0.6, the road hazard value is changed to: μ _{x +30} =|0.85-1.0| * 0.4+0.21 * 0.6 * 1.22=0.21372

The repair timing δ can be calculated according to the following formula:

In the case of the previous case, if the maximum road hazard value μ _t acceptable for the camera irradiation section is 0.5, the total traffic volume F _s of the road section reference day is 882 vehicles, and the average daily increase rate C is 0.2%, which is cumulative for 30 consecutive days. For 26,895 trips, the timing of the repair may be:

That is, from the date of calculation (the x + 30th day) to the 108th day, the road section may need to be repaired.

The method for monitoring the quality of the road pavement that achieves the above object of the invention is to obtain the relay data such as the integrity of the marking line, the coverage of the hole, the position of the marking line, the position of the pit, and the traffic flow through the intelligent image recognition module, thereby calculating the marking line. The degree of change, the degree of change of the pit, the relationship between the pothole and the marking line, the road hazard value is obtained, and the timing of the road traffic flow is estimated to estimate the timing at which the road may need to be repaired. Compared with the prior art, the present invention is characterized in that the above-mentioned relay data can be used for calculation, obtaining road danger values and estimating road repair timing, each relay The brief description of the information is as follows:

1. Marking line integrity: The function of the marking line is warning, prohibition or indication, and the position of the marking line has a certain specification. This means that the integrity and clarity of the marking line is of great importance, and its position is also Important traffic location. When the marking of the road surface is defaced or damaged under the use of the year, it will affect the function of warning, prohibition or indication, and it is often accompanied by the deterioration of the quality of the road pavement. Therefore, the present invention mainly considers the integrity of the marking line to interpret the road dangerous condition.

2. Pothole coverage: The presence of potholes on the road is extremely threatening to the safety of passers-by, and it also means that the road will have the need for maintenance. However, the size and distribution of the potholes have different effects on the overall use of the road. The invention also uses the coverage of the pothole as a reference for the interpretation of the road dangerous situation.

3. Marking position and pothole position: The road marking is publicized by the passerby with warning, prohibition or indication, so its location is the important position of the road. If there is a pothole near the location, the road marking and the road marking The relative positional relationship between the adjacent pits has a significant impact on the driving situation. For example, when the pit is close to the marking line, the passerby needs to deliberately avoid the pothole. At this time, many potential risk factors will be generated, including the vehicle. The emergency deceleration is easy to cause rear vehicle collision, and it is easy to slip when the vehicle is dodging. Therefore, the closer the pit is to the position of the marking line, the greater the risk factor will be.

4. Vehicle flow change: The change of road pavement quality is closely related to the traffic flow. When the traffic volume increases, it means that the pavement quality will accelerate and deteriorate. The present invention estimates the relationship between the traffic flow and the road hazard value. The timing may need to be repaired.

The road pavement quality monitoring system and method provided by the invention have the following advantages when compared with other conventional technologies:

1. The present invention can calculate a road hazard value for road pavement quality, which is a quantifiable standard.

2. The present invention can pre-estimate the timing at which the road may need to be repaired and prepare the road management unit.

The detailed description of the present invention is intended to be illustrative of a preferred embodiment of the invention, and is not intended to limit the scope of the invention. The patent scope of this case.

To sum up, this case is not only innovative in terms of technical thinking, but also has many of the above-mentioned functions that are not in the traditional methods of the past. It has fully complied with the statutory invention patent requirements of novelty and progressiveness, and applied for it according to law. Approved this invention patent application, in order to invent invention, to the sense of virtue.

Claims (10)

A system for monitoring the quality of road pavement, comprising: a surveillance photography module for acquiring road images and traffic images, and transmitting the images; and a relay data capture module for receiving from the surveillance photography module The road image and the traffic image of the group are used to extract the reticle relay data, the pit relay data and the traffic relay data; and the road pavement quality calculation module is used to calculate the standard stored in the predetermined time Line relay data, the pit relay data, and the traffic relay data to obtain a line change, a pit change degree, a vehicle flow change degree, and a relationship between the pit and the mark, and the change of the line The pit change degree, and the relationship between the pit and the reticle, the road risk value μ _{n is} calculated by the following formula: μ _n =| M _n - M _s | * W _M + P _n * W _P * R _MP wherein, M _n is calculated for the n-th day reticle completeness reticle, M _s is the reference date calculated reticle integrity of the reticle, W _M is the weight of a predetermined value line token, P _n is the pit cover , W _P is the preset pit weight value, R _{MP is} the relationship between the pit and the marking line; The road hazard value μ _n and the traffic flow relay data predict the time δ of repairing the road. For example, the system for monitoring the quality of road pavement described in claim 1 of the patent scope, wherein the repair timing δ is: , where μ _t is the maximum road hazard value, μ _s is the road hazard value at the calculation start date, μ _n is the road hazard value for the calculation date, F _s is the total vehicle flow at the calculation start date, and F _n is the calculation date Total traffic, C is the average daily increase. The system for monitoring road pavement quality according to claim 1, wherein the surveillance camera module comprises at least one surveillance camera. The system for monitoring the quality of a road pavement as described in claim 1, wherein the relay data acquisition module captures the road image and the traffic image as the reticle relay data through intelligent image recognition. The pit relay data and the traffic relay data. The system for monitoring the quality of a road pavement according to the first aspect of the patent application, wherein the road pavement quality calculation module comprises: a change degree operation unit, configured to calculate the change degree of the mark line, the degree of change of the pit, the The change of traffic flow; the relational operation unit is to calculate the relationship between the pit and the marking; and the road repair timing prediction unit, which calculates the road pavement quality and predicts the repair timing. The system for monitoring road pavement quality as described in claim 1 further includes: a relay data storage database storing the reticle relay data, the pit relay data, and the traffic relay data. A method for monitoring the quality of a road pavement, the method comprising: obtaining a road image and a traffic image through a surveillance camera module to transmit the image to a relay data capture module; and using the relay data capture module The road image and the traffic image extract the reticle relay data, the pit relay data and the traffic relay data; and calculate the reticle relay data stored in the predetermined time through the road pavement quality calculation module, the pothole The relay data and the traffic relay data are used to obtain a retracement change degree, a pit change degree, a vehicle flow change degree, and a relationship between the pit and the reticle, according to the change degree of the reticle, the pit change degree, and the pothole In relation to the reticle, the road hazard value μ _{n is} calculated by the following formula: μ _n =| M _n - M _s | * W _M + P _n * W _P * R _MP , M _n is the nth day of the reticle calculation Marking line integrity, M _s is the reticle integrity of the reticle calculation base date, W _M is the preset reticle weight value, P _n is the pit coverage, W _P is the preset pit weight value, R _MP for marking relationship with potholes; by the dangerous road and traffic value μ _n Following the data, predict the timing of road repairs δ. The method for monitoring road pavement quality as described in claim 7 of the patent scope, wherein the repair timing δ is: , where μ _t is the maximum road hazard value, μ _s is the road hazard value at the calculation start date, μ _n is the road hazard value at the calculation date, F _s is the total traffic flow at the calculation start date, and F _n is the calculation date Total traffic, C is the average daily increase. The method for monitoring the quality of a road pavement as described in claim 7 wherein the relay data acquisition module transmits the road image and the traffic image as the reticle relay data through intelligent image recognition. , The pit relay data and the traffic relay data. The method for monitoring road pavement quality according to claim 7 , wherein the road paving quality calculation module comprises: calculating a degree of change of the marking, the degree of change of the pit, and the degree of change of the change of the traffic flow. An arithmetic unit; a relational operation unit that calculates the relationship between the pit and the reticle; and a road repair timing prediction unit that calculates the road pavement quality and predicts the repair timing.