JP7043745B2 - Road surface condition analyzer - Google Patents

Description

The present invention relates to a road surface condition analyzer.

In Patent Document 1, the road surface information storage unit that stores the uneven state of the road surface when the vehicle is driven as road surface information together with the position information and the traveling lane information of the vehicle, and the road surface information according to a request from an arbitrary vehicle. A road information providing device including a transmission means for transmitting road surface information stored in a storage unit to the vehicle is described.

Japanese Unexamined Patent Publication No. 2010-287044

The magnitude of the vehicle vertical vibration that occurs in a vehicle that has passed a certain point varies depending on the vehicle class. It is considered difficult to accurately grasp the road surface condition at that point simply by collecting vibration data of multiple vehicles with different vehicle classes.

The present invention has been made in view of such an actual situation, and an object of the present invention is to analyze the road surface condition of a plurality of vehicles passing through a certain point in consideration of the vehicle class.

In order to achieve the above object, the road surface condition analyzer according to the present invention has vibration data representing the displacement of the vehicle vertical vibration at the point and the vehicle at the point for each of the plurality of vehicles passing through the point. A collection unit that collects the speed data of the vehicle and vehicle rating data including at least the vehicle weight and suspension characteristics of the vehicle, and a conversion that converts the vibration data collected by the collection unit into the maximum amplitude at a predetermined reference speed. The unit, the averaging unit that obtains the average value of the maximum amplitude at the predetermined reference speed after conversion by the conversion unit as the average maximum amplitude for each vehicle rating, and the vibration data at the point where the average value for each vehicle rating is obtained. The normalization unit is provided with a normalization unit for processing into representative data of the above, and the normalization unit obtains the average maximum vibration for each vehicle rating obtained by the averaging unit and the reference step with a reference vehicle belonging to the vehicle rating. Based on the maximum amplitude of the vehicle's vertical vibration when passing at a predetermined reference speed, the vehicle-specific estimated value of the step at the point is obtained for each vehicle grade, and the vehicle with the step obtained for each vehicle grade is obtained. It is characterized in that the average value of the special estimated values is obtained as the step estimated value of the step at the above point.

According to the present invention, it is possible to analyze the road surface condition of a plurality of vehicles that have passed a certain point in consideration of the vehicle class.

It is explanatory drawing of the road surface condition analysis system. It is explanatory drawing of the 1st vehicle. It is explanatory drawing which shows the 1st vehicle and the point P. It is explanatory drawing of the waveform which shows the temporal change of vibration. It is explanatory drawing of the road surface condition analyzer. It is explanatory drawing of the 2nd vehicle. It is explanatory drawing which shows the image of averaging. It is explanatory drawing which shows the image of averaging and normalization.

Hereinafter, the present invention will be described based on the illustrated embodiment. However, the present invention is not limited to the embodiments described below.

As shown in FIG. 1, the road surface condition analysis system 1 includes a first vehicle 2 and a second vehicle 3, and a road surface condition analysis device 5 capable of communicating with both vehicles through a network 4.

[First vehicle]
As shown in FIG. 2, the first vehicle 2 includes a vibration detection unit 21, a speed sensor 22, a vehicle position acquisition unit 23, a vehicle class data storage unit 24, and a transmission unit 25.

The vibration detection unit 21 detects the vibration of the first vehicle 2 in the vertical direction of the vehicle, and generates vibration data representing the temporal change of the displacement due to the vibration. Specific examples of this vibration detection unit include a load sensor that detects a load applied to the suspension and an acceleration sensor for operating the airbag.

As shown in FIG. 3, it is assumed that the first vehicle 2 traveling in the direction of the arrow F passes a certain point P on the road surface. At the point P, there are a first raised portion 61 and a second raised portion 62. The second raised portion 62 is in front of the first raised portion 61 when viewed from the first vehicle 2. An example of such a raised portion is a speed breaker. This speed breaker is also called the deceleration zone.

FIG. 4 shows an example of vibration data acquired by the vibration detection unit 21 when passing through the point P. In the figure, the horizontal axis represents time and the vertical axis represents displacement. When the first vehicle 2 passes through the first raised portion 61, a positive peak indicated by reference numeral 71 and a subsequent negative peak indicated by reference numeral 72 are generated. Subsequently, when the first vehicle 2 passes through the second raised portion 62, a positive peak indicated by reference numeral 73 and a subsequent negative peak indicated by reference numeral 74 are generated. Thus, when passing through one ridge, there is a positive peak for displacement followed by a negative peak.

The speed sensor 22 detects the speed of the first vehicle 2 at the point P and generates speed data representing the speed.

The vehicle position acquisition unit 23 acquires the position data of the first vehicle 2 in association with the vibration data and the speed data. In the present embodiment, the vehicle position acquisition unit 23 acquires position data representing the point P. A GPS receiver can be mentioned as a specific example of this vehicle position acquisition unit.

The vehicle class data storage unit 24 stores vehicle class data representing the vehicle class of the first vehicle 2. The vehicle class is the vehicle class. For example, three vehicle classes, a small vehicle, a medium-sized vehicle, and a large vehicle, can be determined by the vehicle weight, and each vehicle can be rated. When the first vehicle 2 is rated as a small vehicle, the vehicle class data storage unit 24 stores vehicle class data representing the vehicle class as a "small vehicle".

The magnitude of vibration generated by a vehicle that has passed the same point differs depending on the vehicle class. For example, when a small vehicle with a light vehicle weight and an inexpensive suspension passes through a certain ridge on the road surface, the load applied to the suspension is small due to its light weight, but the vibration (or its amplitude) in the vertical direction of the vehicle is compared. It's big. On the other hand, when a medium-sized vehicle or a large-sized vehicle equipped with a heavy and expensive suspension passes through the same ridge, the load applied to the suspension is large, but the vibration (or its amplitude) in the vertical direction of the vehicle is relatively small. ..

The transmission unit 25 is connected to the vibration detection unit 21, the speed sensor 22, the vehicle position acquisition unit 23, and the vehicle class data storage unit 24. The transmission unit 25 stores the vibration data obtained by the vibration detection unit 21, the speed data obtained by the speed sensor 22, the position data acquired by the vehicle position acquisition unit 23, and the vehicle rating data storage unit 24. The vehicle rating data is sent to the road surface condition analyzer 5.

[Road surface condition analyzer]
As shown in FIG. 5, the road surface condition analysis device 5 includes a collection unit 51, a conversion unit 52, an averaging unit 53, a normalization unit 54, and a transmission unit 55. The function of each part will be described later.

The road surface condition analysis device 5 has, as its hardware configuration, a memory for storing programs and data that can operate to execute the functions of each part, a processor for performing arithmetic processing, and other devices in the road surface condition analysis system. It has an interface for communication. The same applies to the first vehicle 2 and the second vehicle 3.

[Second vehicle]
As shown in FIG. 6, the road surface condition information providing device 31 provided in the second vehicle 3 includes a receiving unit 310 for receiving data transmitted from the road surface condition analysis device 5. Details will be described later.

[Processing performed by the road surface condition analyzer]
Hereinafter, the processing performed by the road surface condition analyzer 5 will be described. First, the collecting unit 51 includes the position data of the first vehicle 2 transmitted from the transmitting unit 25 in the first vehicle 2, the speed data and the vibration data of the first vehicle 2 at the point represented by the position data. , Receives the vehicle class data of the first vehicle 2. The collecting unit 51 also receives the position data of each vehicle, the speed data and vibration data at the point represented by the position data, and the vehicle rating of each vehicle from other vehicles that are neither the first vehicle 2 nor the second vehicle 3. Receive data and.

The process described below is performed on a vehicle having position data representing the point P among the vehicles whose data has been collected by the collecting unit 51.

For each vehicle that has passed the point P, the conversion unit 52 sets the maximum amplitude of the vehicle vertical vibration at the speed of the vehicle at the point P (for example, the maximum amplitude A _max in FIG. 4) to the maximum amplitude at a predetermined reference speed. Convert to. The predetermined reference speed is, for example, 40 km / h.

The conversion by the conversion unit is for considering the speed at the point P which may differ depending on the vehicle. As an example of considering the speed, the horizontal axis of the waveform is converted to make the time the same, so in the conversion of the waveform that passes through the same step in the low speed region, the waveform is greatly converted in proportion to the ratio to the reference speed. I think. Regarding the averaging described later, in addition to being proportional to the vehicle speed, a relationship proportional to the square of the vehicle speed may be considered.

Next, the averaging unit 53 averages each vehicle class represented by the vehicle class data. For example, as mentioned above, when three vehicle classes of small vehicle, medium-sized vehicle, and large vehicle are defined as vehicle class, averaging is performed for each of the three vehicle classes of small vehicle, medium-sized vehicle, and large vehicle. I do.

The averaging unit 53 obtains the average value of the maximum amplitudes of the vehicles belonging to the vehicle class of small vehicles at the predetermined reference speed after conversion by the conversion unit 52 as the average maximum amplitude of the vehicle class of small vehicles. Similarly, the averaging unit 53 obtains the average maximum amplitude of the vehicle class of a medium-sized vehicle and the average maximum amplitude of the vehicle class of a large vehicle. It is also possible to obtain the average maximum amplitude after excluding data whose amplitude is prominently large or small in consideration of the standard deviation or the like.

The averaging unit 53 converts the entire waveform when analyzing each of the waveforms representing vibrations individually after obtaining the average maximum amplitude of each vehicle belonging to the vehicle class of a small vehicle, and the converted maximum. The amplitude can also be equal to the average maximum amplitude. The averaging unit 53 can similarly convert a waveform representing the vibration of each vehicle belonging to the vehicle class of a medium-sized vehicle and a waveform representing the vibration of each vehicle belonging to the vehicle class of a large vehicle. Further, the maximum amplitude at the reference speed can be obtained by taking the vehicle speed into consideration, and the average value of these maximum amplitudes can be obtained.

FIG. 7 shows an image of averaging of small vehicles. Figures (a) to (c) show waveforms when the vehicle speed is low, waveforms when the vehicle speed is medium, and waveforms when the vehicle speed is high, respectively.
FIGS. (D) to (f) are obtained by converting the figures (a) to (c) in accordance with the predetermined reference speed, respectively. The average maximum amplitude can be obtained from FIGS. (D) to (f). Figures (g) to (i) are converted from the figures (d) to (f) according to the average maximum amplitude of the vehicle class of a small vehicle, respectively.

Subsequently, the normalization unit 54 has the average maximum amplitude (referred to as A) of the vehicle class of a small vehicle obtained by the averaging unit 53, and the reference vehicle belonging to the vehicle class of a small vehicle at the predetermined reference speed. Based on the maximum amplitude (B) when passing through a certain reference step (the step height value is H), the estimated step value (h1) at the _point P is as follows. Ask.
h ₁ = H * A / B
This estimated value is an estimated value of the step at the point P, which is obtained for the vehicle class of a small vehicle.

Similarly, in the normalization unit 54, the average maximum amplitude of the vehicle class of the medium-sized vehicle and the reference vehicle belonging to the vehicle class of the medium-sized vehicle obtained by the averaging unit 53 make the reference step at the predetermined reference speed. Based on the maximum _amplitude when passing, the estimated value h2 of the step at the point P is obtained. This estimated value is an estimated value of the step at the point P, which is obtained for the vehicle class of a medium-sized vehicle.

Similarly, in the normalization unit 54, the average maximum amplitude of the vehicle class of a large vehicle and the reference vehicle belonging to the vehicle class of a large vehicle obtained by the averaging unit 53 make the reference step at the predetermined reference speed. Based on the maximum amplitude when passing _, the estimated value h3 of the step at the point P is obtained. This estimated value is an estimated value of the step at the point P, which is obtained for the vehicle class of a large vehicle.

Here, the reference vehicle belonging to the vehicle class of a small vehicle is an arbitrary vehicle belonging to the vehicle class of a small vehicle. Similarly, the reference vehicle belonging to the vehicle class of medium-sized vehicle is any vehicle belonging to the vehicle class of medium-sized vehicle. Further, the standard vehicle belonging to the vehicle class of a large vehicle is an arbitrary vehicle belonging to the vehicle class of a large vehicle.

The estimated values h ₁ , h ₂ and h ₃ are all vehicle class estimated values of the step at the point P obtained for each vehicle class. The normalization unit 54 obtains the average value ha of the estimated values h ₁ , h ₂ and h ₃ as the estimated value of the _step at the point P. This estimated value ha is obtained from the data obtained by _a plurality of vehicles including the first vehicle 2 and not including the second vehicle 3. This estimated value ha can also be referred to as representative data of data obtained by _a plurality of vehicles including the first vehicle 2 and not including the second vehicle 3.

The transmission unit 55 sends the estimated value _ha of the step at the point P obtained by the normalization unit 54 to the second vehicle 3.

The images of averaging and normalization described so far are shown in FIG.
FIGS. (A) to (c) are examples of three waveforms of a vehicle belonging to the vehicle class of a small vehicle.
FIGS. (D) to (f) are examples of three waveforms of a vehicle belonging to the vehicle class of a medium-sized vehicle.
The figures (g) to (i) are examples of three waveforms of a vehicle belonging to the vehicle class of a large vehicle.
FIG. (J) is a waveform after averaging obtained from FIGS. (A) to (c).
FIG. (K) is a waveform after averaging obtained from FIGS. (D) to (f).
FIG. 3 (l) is a waveform after averaging obtained from FIGS. (G) to (i).
FIG. 3M is a normalized waveform obtained from FIGS. (J) to (l).
The normalization is to integrate the figure (j) regarding the vehicle class of a small vehicle, the figure (k) regarding the vehicle class of a medium-sized vehicle, and the figure (l) regarding the vehicle class of a large vehicle. Specifically, the average maximum amplitude of the small vehicle obtained from the figure (j), the average maximum amplitude of the medium-sized vehicle obtained from the figure (k), and the average maximum of the large vehicle obtained from the figure (l). Matching with the amplitude can be called normalization. Alternatively, the average maximum amplitude of the small vehicle obtained from the figure (j), the average maximum amplitude of the medium-sized vehicle obtained from the figure (k), and the average maximum amplitude of the large vehicle obtained from the figure (l) are obtained. Adding and dividing by 3 can also be called normalization.

[Processing performed by the second vehicle]
The receiving unit 310 in the road surface condition information providing device 31 receives the estimated value _ha of the step at the point P sent from the road surface condition analysis device 5.

The road surface condition information providing device 31 further includes a navigation unit 320 that guides the route to the driver of the second vehicle 3 (FIG. 6). Based on the estimated value _ha received by the receiving unit 310, the navigation unit 320 conveys the unevenness information of the step at the point P to the driver of the second vehicle 3.

According to the road surface condition analysis system as described above, it is possible to analyze the road surface condition of a plurality of vehicles passing through a certain point in consideration of the vehicle class. The analysis results can be utilized in a car navigation system that takes into account the unevenness of the road surface.

The functional configuration and physical configuration of the road surface condition analysis system described above are not limited to the above-mentioned aspects. It is also possible to do it.

Although the embodiments of the present invention have been described above, the present invention is not limited to the embodiments described above, and various modifications and modifications can be made based on the technical idea of the present invention.

1 Road surface condition analysis system

2 First vehicle 21 Vibration detection unit 22 Speed sensor 23 Vehicle position acquisition unit 24 Vehicle class data storage unit 25 Transmission unit

3 Second vehicle 31 Road surface condition information providing device 310 Receiver 320 Navigation

4 network

5 Road surface condition analyzer 51 Collection unit 52 Conversion unit 53 Averager 54 Normalization unit 55 Transmitter unit

Claims (3)

For each of the plurality of vehicles that have passed a certain point, a vehicle including at least vibration data representing the displacement of the vehicle vertical vibration at the point, speed data of the vehicle at the point, and vehicle weight and suspension characteristics of the vehicle. A collection department that collects case data and
A conversion unit that converts the vibration data collected by the collection unit into the maximum amplitude at a predetermined reference speed, and a conversion unit.
An averaging unit that obtains the average value of the maximum amplitude at the predetermined reference speed after conversion by the conversion unit as the average maximum amplitude for each vehicle class.
It is equipped with a normalization unit that processes the average value for each vehicle class into representative data of the vibration data at the point.
The normalization unit has the average maximum amplitude for each vehicle rating obtained by the averaging unit and the vehicle vertical vibration when the reference vehicle belonging to the vehicle rating passes through a reference step at a predetermined reference speed. Based on the maximum amplitude of, the estimated value of the step at the point is obtained for each vehicle grade, and the average value of the estimated values of the step obtained for each vehicle grade is the step of the step at the point. A road surface condition analyzer characterized in that it is obtained as an estimated value. The conversion unit determines the maximum amplitude of the vehicle vertical vibration of the vibration data at the speed represented by the speed data for each of the vehicles having the vibration data collected by the collection unit, and the maximum amplitude at a predetermined reference speed. The road surface condition analyzer according to claim 1, which is to be converted into. The averaging unit determines the maximum amplitude of the vehicle belonging to the vehicle class at the predetermined reference speed after conversion by the conversion unit for each of the vehicle class represented by the vehicle class data collected by the collection unit. The road surface condition analyzer according to claim 1 or 2, wherein the average value is obtained as the average maximum amplitude for each vehicle class.

Images