TWI532618B - System and method of collecting abnormal point of road surface - Google Patents

Description

Road pavement abnormal point collecting system and road pavement abnormal point collecting method

The present invention relates to a detection technique, and more particularly to a road surface abnormal point collection system and method thereof for a road surface abnormal point.

In modern society, road quality has become an important indicator of living standards. Uneven conditions of road pavements (such as potholes, deceleration hills, expansion joints, manhole covers) will not only cause users to feel uncomfortable while driving vehicles. If you are comfortable, it will cause many public dangers. In addition, road quality has long been an important indicator of government maintenance for public construction. Although the government currently spends a lot of money on road maintenance every year, the results after maintenance are often untested, and there is no quantifiable indicator for the quality of the road.

At present, the existing detection technology detects the force of the vehicle while advancing, and judges the detection result by a fixed judgment threshold to judge the condition of the road surface, but the detection method does not take the vehicle itself. Factors (such as: speed, vehicle performance) are considered, or after considering the factors of the vehicle itself, the detection result is still determined by the fixed threshold, so it cannot be objectively Judging the condition of the road surface and even classifying the abnormal conditions of the road surface.

The current road surface abnormal point detection technology uses a fixed judgment threshold to judge whether the road surface is abnormal, and thus the detection result may be mixed with factors other than the road surface. Therefore, how to eliminate factors outside the road surface and adjust the fixed threshold by the result of the detection to obtain objective judgment results and to classify the detected abnormal road surface defects is a major current research and development project. First, it has become the goal of improvement in the current related fields.

One aspect of the present invention is to provide a road pavement abnormal point collecting system and a road pavement abnormal point collecting method to solve the problems of the prior art.

In one embodiment, the road surface abnormal point collection system provided by the present invention includes a server and a mobile device disposed on the vehicle. The mobile device includes a sensing unit, an arithmetic unit, and a wireless network unit. The sensing unit is used to collect the vibration value when the vehicle is running. The arithmetic unit is configured to take out the vibration component value perpendicular to the road surface from the vibration value, calculate the reference value according to the vibration component value of the vehicle starting to travel for a fixed time, and then calculate the average vibration variation range, and find out in multiple unit time The part of the vibration component exceeds the value of the partial vibration component of the average vibration variation range to calculate the abnormal value, and the ratio of the abnormal value to the reference value is calculated to obtain the abnormality index. The wireless network unit is used to transmit abnormal indicators to the server.

In an embodiment, the reference value and the abnormal value are based on the vibration One of the standard deviation, the amplitude value, the full range value, and the root mean square value calculated by the magnitude or a combination thereof.

In an embodiment, the mobile device further includes a positioning unit configured to obtain a positioning coordinate of the mobile device when the partial vibration component value exceeds the average vibration variation range, and transmit the positioning coordinate to the server, where the positioning coordinate corresponds to the abnormality indicator. .

In an embodiment, the server includes a data collection unit and a data analysis unit. The data collection unit is configured to collect abnormal indicators from the mobile device and corresponding positioning coordinates. The data analysis unit is configured to score one of the roads corresponding to the positioning coordinates according to the abnormality indicator to generate road score data.

In an embodiment, the mobile device further includes a display unit. After the operation unit obtains the road score data from the data analysis unit, the display unit displays the road score data.

In an embodiment, the road rating data reflects the degree of unevenness of the abnormal point of the road surface.

In an embodiment, the road surface abnormal point collecting method provided by the present invention comprises: collecting a vibration value when the vehicle is running, and extracting a vibration component value perpendicular to the road surface; and determining a vibration component value according to the vehicle starting to travel for a fixed time. Calculate the reference value, and then calculate the average vibration variation range; find out all the vibration component values of the vibration component value exceeding the average vibration variation range and calculate the abnormal value in multiple unit time; calculate the ratio of the abnormal value to the reference value To get an abnormal indicator; send an abnormal indicator to the server.

In summary, the technical solution of the present invention has a comparison with the prior art. Obvious advantages and benefits. With the above technical solutions, considerable technological progress can be achieved, and the industrial use value is widely used. The advantage is that the factors outside the road surface can be excluded, and the fixed threshold value can be adjusted through the detection result to obtain an objective judgment. As a result, the detected road surface abnormal points are graded.

110, 411~414‧‧‧ mobile devices

111‧‧‧Sense unit

112‧‧‧ arithmetic unit

113‧‧‧Wireless network unit

114‧‧‧ Positioning unit

115‧‧‧Display unit

120, 421‧‧‧ server

121‧‧‧Data collection unit

122‧‧‧Data Analysis Unit

310‧‧‧Vibration component value

320‧‧‧ fixed time

330‧‧‧Judgement time

331‧‧‧ unit time

340‧‧‧Average vibration range

351, 352, 353‧ ‧ hours

410‧‧‧Client

420‧‧‧server side

511~518, 521~524, 531‧‧ steps

X, Y, Z‧‧‧ vibration component values

The above and other objects, features, advantages and embodiments of the present invention will become more <RTIgt; </ RTI> <RTIgt; </ RTI> <RTIgt; </ RTI> <RTIgt; 2 is a graph of vibration values of a road pavement abnormal point collecting system according to an embodiment of the present invention; and FIG. 3 is a graph showing a vibration component value of a road pavement abnormal point collecting system according to an embodiment of the present invention; 4 is a schematic diagram of another road pavement abnormal point collecting system according to an embodiment of the present invention; and FIG. 5 is a flow chart of a road pavement abnormal point collecting method according to an embodiment of the present invention.

In order to make the description of the present invention more detailed and complete, the spirit of the present invention will be described in detail in the drawings and the appended claims. The teachings of the present invention are susceptible to variations and modifications without departing from the spirit and scope of the invention. On the other hand, well-known elements and steps are not described in the embodiments to avoid unnecessarily limiting the invention.

1 is a schematic diagram of a road surface abnormal point collecting system according to an embodiment of the present invention. 2 is a graph showing vibration component values of a road surface abnormal point collecting system according to an embodiment of the present invention. 3 is a graph of a vibration component value 310 of a road surface abnormal point collection system in accordance with an embodiment of the present invention. As shown in FIG. 1, in one embodiment, the road surface abnormal point collection system includes a server 120 and a mobile device 110 disposed on the vehicle. The mobile device 110 is secured to the vehicle using a vehicle hand frame. The mobile device 110 includes a sensing unit 111, an arithmetic unit 112, and a wireless network 113. When acting, the sensing unit 111 is configured to collect the vibration value when the vehicle is running. For example, the sensing unit 111 can be a three-axis accelerometer in the mobile device 110, which can be collected when the vehicle is traveling on the road surface. The acceleration value measured by the force of the vehicle due to the road surface condition. The acceleration value is the vibration value. As shown in FIG. 2, the vibration value (eg, the acceleration value) is measured by the sensing unit 111 on the vehicle when the vehicle is traveling, and includes three vibration component values X, Y, and Z, which are respectively parallel to the road surface. The vibration component values X, Y and a vibration component value Z perpendicular to the road surface.

As shown in Figs. 1 and 2, the arithmetic unit 112 takes out the vibration component value Z perpendicular to the road surface from the vibration value. The arithmetic unit 112 can calculate various values according to the vibration component value Z, for example, a standard deviation value, an amplitude value, a full-range value, a root mean square value, and the like. As shown in the first and third figures, the arithmetic unit 112 is from the sensing unit. The shock component value 310 perpendicular to the road surface is taken out from the shock value collected by 111, and the reference value is calculated based on the vibration component value 310 of the vehicle within the fixed travel time 320 (e.g., 1 minute). In one embodiment, the reference value is derived from one of a standard deviation value, an amplitude value, a full range value, and a root mean square value calculated from the vibration component value 310. Wherein, since the standard deviation value can reflect the degree of dispersion between the measured vibration component values 310 of each of the fixed time periods 320, when it is determined whether the measured vibration component value 310 in the subsequent measurement time is taken from the abnormal road surface, the vibration The standard deviation of the component value 310 occupies a decisively important role, so the reference value described later is the standard deviation calculated from the vibration component value 310.

After calculating the reference value, the arithmetic unit 112 further calculates the average vibration variation range 340 based on the vibration component value 310 in the fixed time. Regardless of whether the road surface of the vehicle within the fixed travel time 320 is stable, the reference value calculated by the partial vibration component value 310 in the fixed time 320 is used as the initial reference value, and the average vibration variation range 340 is used to judge the road surface. Is there an abnormal judgment standard? If the road surface of the vehicle within the fixed travel time 320 is stable, the reference value can undoubtedly serve as a reference for the road pavement score; if the road surface of the vehicle within the fixed travel time 320 is unstable, the subsequent judgment is made. The vibration component value 310 within the average vibration variation range 340 is taken into consideration to adjust the reference value.

After that, the computing unit 112 finds the determination time 330 of a plurality of unit time 331 (for example, 1 second) after the fixed time 320 (for example, the sum of 14 unit time 331 shown in FIG. 3). Vibration component value 310 The partial vibration component value 310 exceeding the average vibration variation range 340. When the vibration component value 310 exceeds the average vibration variation range 340, for example, the time period 352, the road surface that the vehicle passes in the representative time period 352 is abnormal compared with the road surface within the start travel fixed time 320. At this time, the operation unit 112 is based on the time interval 352. The partial vibration component value 310 calculates an abnormal value. In one embodiment, the anomaly value is derived from one of a standard deviation value, an amplitude value, a full range value, and a root mean square value calculated from the vibration component value 310. The anomaly values described later are based on the standard deviation values calculated from the vibration component values 310 of the average vibration variation range 340.

The arithmetic unit 112 calculates the ratio of the abnormal value to the reference value to obtain an Abnormality Index (AI). When the road surface on which the vehicle travels is less stable and more bumpy, the abnormal value will be larger, and the abnormality index calculated by the arithmetic unit 112 will be larger. When the road surface on which the vehicle travels is similar to the road surface within the fixed travel time 320, the abnormal value is not calculated, and the arithmetic unit 112 does not calculate the abnormality index for the road segment. The wireless network unit 113 is configured to transmit an abnormality indicator to the server 120.

The computing unit 112 as described above may be a software body, a hardware body and/or a body, and the software, hardware and/or body may be integrated into the central processing unit. For example, if the execution speed and accuracy are the primary considerations, the computing unit can basically be dominated by hardware and/or carcass; if design flexibility is the primary consideration, the computing unit can basically use software as the main component. Or, it can work together with software, hardware and carcass. The wireless network unit 113 can be a long-distance communication module, a 3G, 4G communication module, and the like.

In an embodiment, when the vibration component value 310 is within the average vibration variation range 340, such as the time periods 351, 353, the road surface that the vehicle passes in the representative time period 351 and the time period 353 is stable with respect to the road surface that the vehicle passes in the time period 352. The arithmetic unit 112 updates the reference value according to the partial shock component value 310 in the period 351 and the period 353, respectively. As a result, the sampled vibration component value 310 participating in the calculation of the reference value is more and more, and the reliability of the reference value as the benchmark for the road surface classification is becoming higher and higher.

In an embodiment, the mobile device 110 further includes a positioning unit 114. When the vibration component value 310 exceeds the average vibration variation range 340, for example, the time period 352, the road surface that the vehicle passes in the representative time period 352 is abnormal compared with the road surface within the start travel fixed time 320, except that the operation unit 112 described above is based on the time interval 352. The partial vibration component value 310 calculates the abnormal value, and also calculates the ratio of the abnormal value to the reference value to obtain the abnormality index. At the same time, the positioning unit 114 obtains the positioning coordinate of the mobile device 110, wherein the positioning coordinate corresponds to the abnormality index. In practice, the positioning unit 114 can detect the satellite signal of the satellite positioning signal receiving module to obtain the satellite positioning coordinate of the mobile device, or the Subscriber Identity Module (SIM) in the mobile device can pass the user identity module. The base station of the group service provider is positioned to know the positioning coordinates of the mobile device 110.

As shown in FIG. 1, in an embodiment, the server 120 in the road surface abnormal point collection system includes a data collection unit 121 and a data analysis unit 122. The data collection unit 121 is configured to collect the abnormality indicators from the mobile device 110 and the corresponding positioning coordinates. The data collection unit 121 transmits the collected abnormality indicators and corresponding positioning coordinates to the data analysis unit. 122. The data analysis unit 122 converts the received information into readable materials, such as converting the positioning coordinates into actual road names or road locations on the map. The data analysis unit 122 performs scoring based on the roads and abnormal indicators corresponding to the positioning coordinates to generate road score data.

From the road rating data, the road where the mobile device 110 has the collected road surface abnormal point and the result of the score based on the abnormality index of the road can be displayed. In one embodiment, the road scoring data reflects the degree of unevenness of the abnormal point of the road surface, such as a pothole, a deceleration hill, an expansion joint, or a manhole cover. For example, when the value of the abnormality index obtained by the mobile device 110 on a certain road is higher, the road surface condition representing the road is worse. For example, the pit hole of the road surface is large, so the numerical value of the abnormality index can be As a basis for the road pavement. Or, when the number of abnormal index values obtained by the mobile device 110 on a certain road is larger, for example, the road surface may have a lot of potholes, so the numerical value of the abnormal index can also be used as the basis for scoring the road surface. . Through road marking data, passers-by and government agencies can use the road surface abnormal point collection system shown in the present invention to find out the quality of the road surface. The passers-by can also know the road surface quality in advance to avoid poor quality roads.

The data collection unit 121 and the data analysis unit 122 as described above may be a soft body, a hardware body, and/or a carcass. For example, if the execution speed and accuracy are the primary considerations, the units can basically be dominated by hardware and/or carcass; if design flexibility is the primary consideration, then these units are basically optional software. Mainly; or, these units can be the same Use software, hardware and carcass to work together. It should be understood that the above examples are not intended to limit the present invention, and are not intended to limit the present invention. Those skilled in the art will be able to flexibly select the specific embodiments of the units as needed.

In an embodiment, the mobile device 110 further includes a display unit 115. The mobile device 110 transmits the abnormality indicator and the corresponding positioning coordinate to the data collection unit 121 via the wireless network unit 113. After the data is converted into the road score data by the data analysis unit 122 in the server 120, the mobile device 110 can also obtain the road score data of the data analysis unit 122 through the wireless network unit 113. The road scoring data acquired by the mobile device 110 from the server 120 is displayed on the display unit 115 (for example, displayed on the map by an abnormality indicator or a graphical representation). In practice, the display unit 115 can be a display panel.

Fig. 4 is a schematic view showing another road surface abnormal point collecting system according to an embodiment of the present invention. As shown in FIG. 4, the plurality of mobile devices 411-414 can be simultaneously connected to the server 421, wherein the plurality of mobile devices 411-414 can be collectively referred to as a client 410, and the server 421 is a server terminal 420. The plurality of mobile devices 411-414 in the client 410 respectively transmit the abnormality indicator and the corresponding positioning coordinate to the server 421 of the server terminal 420, and the plurality of mobile devices 411 to 414 in the client 410 can also respectively be self-serving. The road rating data is obtained in the server 421 of the terminal 420. When the user drives on a certain road, the mobile device 411 can be connected to the server 421 to check whether there is road marking information of the road. If one of the plurality of mobile devices 411-414 in the client 410 has been used Provide the road The road-related abnormality indicator is given to the server 421, and the mobile device 411 displays the road rating data of the road, for example, displays a map on the mobile device 411, and displays an abnormality indicator on the road on the map.

FIG. 5 is a flow chart of a road pavement abnormal point collecting method according to an embodiment of the present invention. As shown in FIG. 5, the road pavement abnormal point collecting method provided by the present invention includes steps 511 to 518, 521 to 524, and 531 (it should be understood that the steps mentioned in this embodiment are specifically described except In addition to the order, the order can be adjusted according to actual needs, or even simultaneously or partially. As for the hardware device for carrying out these steps, since the above embodiments have been specifically disclosed, the description thereof will not be repeated.

Referring to Figures 3 and 5, in step 511, the vibration value of the vehicle when traveling is collected, and the vibration component value 310 perpendicular to the road surface among the vibration values is taken out accordingly. In step 512, the reference value is calculated based on the shock component value 310 within the fixed time 320 (eg, 1 minute) of the vehicle. In one embodiment, the reference value is derived from one of a standard deviation value, an amplitude value, a full range value, and a root mean square value calculated from the vibration component value 310. After calculating the reference value, the average vibration variation range 340 is further calculated based on the vibration component value 310 within the fixed time 320. In step 513, the vibration component value 310 is determined in the determination time 330 (eg, 15 unit time 331 shown in FIG. 3) for a plurality of unit times 331 (eg, 1 second) after the fixed time 320. . In step 514, a partial vibration component value 310 exceeding the average vibration variation range 340 is found in the determination time 330. When the vibration component value 310 exceeds the average vibration variation range 340 (eg, the period 352), in step 515, according to all the super-standard parts in the period 352 The vibration component value 310 is divided and an abnormal value is calculated. In step 516, the ratio of the abnormal value to the reference value is calculated to obtain an abnormality index. In step 517, the abnormality indicator is transmitted to the server 120. In one embodiment, the anomaly value is derived from one of a standard deviation value, an amplitude value, a full range value, and a root mean square value calculated from the vibration component value 310.

In an embodiment, it is determined in step 514 whether the vibration component value 310 exceeds the average vibration variation range 340. If the vibration component value 310 is within the average vibration variation range 340 (eg, the period 351, 353), in step 531, according to the time period. A portion of the vibration component value 310 in 351, 353 updates the reference value. As a result, the value of the sampled shock component 310 participating in the calculation of the reference value is increasing, and the reliability of the reference value as a reference for the road surface classification is becoming higher and higher.

In an embodiment, when the vibration component value 310 exceeds the average vibration variation range 340, such as the time period 352, in step 518, the positioning coordinates of the road on which the vehicle is traveling at the time interval 352 are obtained, and the positioning coordinates are transmitted in step 517. To the server. Since the abnormality index is also calculated when the vibration component value 310 exceeds the average vibration variation range 340, the positioning coordinate system corresponds to the abnormality index.

In an embodiment, when the vibration component value 310 exceeds the average vibration variation range 340, the abnormality index is calculated according to the partial vibration component value 310, and after the corresponding positioning coordinate is also obtained, in step 517, the abnormality indicator and the corresponding component are transmitted. Position the coordinates. More broadly, different road segment anomaly indicators and their corresponding positioning coordinates can be transmitted at different time points, and the anomaly indicators for different road segments and their corresponding ones can be simultaneously transmitted at the same time point. Position the coordinates. In step 521, the server collects the anomaly indicator and the corresponding positioning coordinates. Regardless of the manner in which the abnormality index and the corresponding positioning coordinates are transmitted in step 517, the abnormality indicators collected in step 521 and their corresponding positioning coordinates can be used for subsequent analysis and reference. In step 522, the road corresponding to the positioning coordinate (eg, the road name, the road location on the map) is scored according to the abnormality index to generate road score data. The road score data shows the roads of the collected road surface abnormal points and the results of the scores reflecting the abnormal conditions of the road. Through road marking data, passers-by and government agencies can use the road surface abnormal point collection system shown in the present invention to find out the quality of the road surface. The passers-by can also know the road surface quality in advance to avoid poor quality roads.

In an embodiment, after the abnormality indicator and the corresponding positioning coordinate are converted into the road rating data, in step 523, the road rating data is obtained. In one embodiment, the road scoring data reflects the degree of unevenness of the abnormal point of the road surface, such as a pothole, a deceleration hill, an expansion joint, or a manhole cover. For example, the user may obtain road rating information to know the road surface condition near the location, such as the location of the pothole, or other possible road surface conditions. The user can also know the relative abnormal condition of each road through the comparison of the abnormal indicators on different roads, or know the number of abnormal points of the road through the number of numerical indicators of the abnormal indicators on the road. In step 524, the road rating data is displayed (eg, displayed on the map as an abnormal indicator or graphical representation).

Although the present invention has been disclosed in the above embodiments, it is not intended to limit the present invention, and those skilled in the art may, without departing from the spirit of the invention. And the scope of the invention is defined by the scope of the appended claims.

511~518, 521~524, 531‧‧ steps

Claims (8)

A road surface abnormal point collecting system includes: a server; and a mobile device disposed on a vehicle, comprising: a sensing unit for collecting a plurality of vibration values of the vehicle when traveling; and an arithmetic unit for The plurality of vibration component values perpendicular to the road surface are taken out from the vibration values, and a reference value is calculated according to the vibration component values of the vehicle starting to travel for a fixed time, thereby calculating an average vibration variation range, and after the fixed time Locating a part of the vibration component values in the continuous plurality of unit time values that exceed the average vibration variation range and calculating at least one abnormal value, and calculating a ratio of the abnormal value to the reference value to obtain at least An abnormality indicator; and a wireless network unit, configured to transmit the at least one abnormality indicator to the server, wherein the computing unit is further not based on the values of the plurality of vibration components in the continuous plurality of unit time after the fixed time A portion of the average vibration variation range of the vibration component value updates the reference value. The road surface abnormal point collecting system of claim 1, wherein the reference value is one of a standard deviation value, an amplitude value, a full distance value, and a root mean square value calculated according to the vibration component values. Or a combination of them. The road surface abnormal point collecting system of claim 1, wherein the abnormal value is one of a standard deviation value, an amplitude value, a full distance value, and a root mean square value calculated according to the vibration component values. Or a combination of them. The road surface abnormal point collecting system of claim 1, wherein the mobile device further comprises: a positioning unit configured to acquire at least one positioning coordinate of the mobile device when the partial vibration component value exceeds the average vibration variation range, and The positioning coordinate is transmitted to the server, wherein the positioning coordinate corresponds to the abnormality indicator. The road surface abnormal point collecting system of claim 4, wherein the server comprises: a data collecting unit for collecting the abnormality indicator from the mobile device and the corresponding positioning coordinate; and a data analyzing unit for using One of the roads corresponding to the positioning coordinate is scored according to the abnormality index to generate a road score data. The road surface abnormal point collecting system of claim 5, wherein the mobile device further comprises: a display unit configured to display the road rating data after the computing unit obtains the road rating data from the data analyzing unit. The road pavement abnormal point collecting system of claim 5, wherein the road scoring data reflects the degree of unevenness of the abnormal point of the road pavement. A method for collecting road surface abnormal points includes: collecting a plurality of vibration values of a vehicle when traveling, and extracting a plurality of vibration component values perpendicular to the road surface; and calculating the vibration component values according to the vehicle starting to travel for a fixed time Deriving a reference value to calculate an average vibration variation range; finding a portion of the vibration component values exceeding the average vibration variation range and calculating at least one abnormality in the plurality of unit time after the fixed time a value; calculating a ratio of the abnormal value to the reference value to obtain at least one abnormality indicator; and transmitting the at least one abnormality indicator to a server, wherein the vibrations are further based on the continuous plurality of unit time after the fixed time The portion of the component value that does not exceed the range of the average vibration variation updates the reference value.