KR20150139472A - A Verifying Method Of Digital Tachograph Of Vehicle - Google Patents

Abstract

A digital driving record verifying method additionally includes a visualizing step after a predicting step; displays a map, including GPS information, on a display part at the visualizing step, and displays an arc-shaped gradation, indicating an engine RPM and a vehicle speed, and a straight line, passing through the center of the arc-shaped gradation; and displays a symbol displaying a vehicle on a coordinate position of the map according to data, arranged in order of time by a command of a user through an input part, and displays the straight line by changing an angle according to the vehicle speed and the engine RPM.

Description

[0001] The present invention relates to a digital verifying method,

The present invention relates to a digital running record verification method, and more particularly, to a digital running record verification method and a verification method thereof for verifying data that are not fully stored due to an accidental impact or an error of a device.

In order to obtain data for judging the circumstance of a vehicle accident and the fault between the parties, research and development of a black box for a vehicle and a digital tachograph for a vehicle, which record driving information such as a vehicle speed, are actively being developed. In particular, a vehicle includes a camera and a digital running recorder to record an external situation at the time of an accident as image information, thereby identifying a cause of the accident by using external image information before and after an accident, Has recently been in the limelight.

FIG. 1 is a block diagram showing the configuration of a digital running recorder used in a vehicle. The digital running recorder includes a vehicle sensor 13 for providing vehicle running data and means for receiving a user's input command An input unit 15, a memory 17 for storing vehicle driving data, and an input unit 15 connected to the vehicle sensor 13 and the memory 17 so as to execute commands inputted thereto, And a control unit (11) for storing the sensed data in the memory (17).

Vehicle navigation data is provided from the vehicle sensor 13, and the provided data is recorded and stored in the memory 17 at a frequency of, for example, 10 Hz.

FIG. 2 shows an example (type and size) of vehicle driving data. The data includes time, latitude, longitude, cumulative running distance, daily driving distance, engine rotation speed (RPM ), Azimuth angle, vehicle speed, acceleration (X direction, Y direction), brake operation, and device status. The azimuth angle, and the azimuth received from the GPS receiver when the GPS receiver is equipped. The information on the driving of the vehicle is obtained by reading and analyzing the data contained in the memory 17. The digital driving recorder as described above is provided in the vehicle so that the driving state of the vehicle can be checked and the cause of the accident can be analyzed.

However, the data is not normally stored in the memory of the digital driving recorder frequently due to an accident or the like. In this case, it is impossible to check whether the data is normal and data conversion is impossible.

Korean Publication No. 10-2011-0036335

It is an object of the present invention to provide a digital driving record verification method for restoring data that is not stored in a memory due to a vehicle accident or a device error.

According to another aspect of the present invention, there is provided an information processing apparatus including a control unit, a display unit connected to the control unit and operated according to a control command from the control unit, a memory connected to the control unit, Operated on a system of parts; (ST-130, data sorting step) in which the parsed data are read out from the memory constituting the digital running recorder in time order and the data sorted in time order (ST-140, data verifying step) ≪ / RTI > The data verification step includes a step of verifying the digital running history including the vehicle speed data included in the data or the speed data which is the engine rotation speed (RPM) data (ST-141, speed data verification step).

In the above, the speed data verification step (ST-141) includes a step of converting speed data into a frequency band (frequency band conversion step), a step of calculating a low band power value and a high band power value from data converted into a frequency band (Band power ratio calculating step), a step of calculating a band power ratio (band power ratio calculating step), and a step of verifying speed data from the band power ratio (speed value verifying step);

The frequency band transforming step

식으로 연산되고,

Lt; / RTI >

식으로 연산되며, The low band value (Lpw)

Lt; / RTI >

식으로 연산되며,The high band value (Hpw)

Lt; / RTI >

식으로 연산되며;The band power ratio (Rofpw)

Lt; / RTI >

은 속도 데이터 중 시간이 L인 n번째 속도 데이터를,

시간 L까지의 속도 평균값을,

는 주파수 대역으로 변환된 값을, k는 주파수인 것을 특징으로 한다.In the above,

N < th > speed data having a time L in the speed data,

The velocity average value up to the time L,

Is a value converted into a frequency band, and k is a frequency.

)이 연산되는 단계(속도 변화값 연산 단계)를 포함하며; 밴드파워비가 50보다 작으면 n-1번째 속도 데이터와 속도 변화값으로부터 속도 범위가 연산되며, n번째 속도 데이터가 속도 범위 이내인지 비교되어 검증되는 것을 특징으로 한다.In the above, the speed value verifying step may include a step of verifying the speed change value between the speed data neighboring to the time point from the speed data up to the (n-1)

(A step of computing a speed change value); If the band power ratio is smaller than 50, the speed range is calculated from the (n-1) -th speed data and the speed change value, and the n-th speed data is compared and verified within the speed range.

In the above, the speed value verifying step includes a step (maximum minimum calculating step) in which the maximum value and the minimum value are calculated in the speed data up to the (n-1) -th speed data; If the band power ratio is smaller than 50, the speed range is calculated from the (n-1) -th speed data and the speed change value, and the n-th speed data is compared and verified within the speed range.

4. The method of claim 3, wherein the step of verifying the speed value includes a step of calculating a maximum value and a minimum value in the speed data up to the (n-1) -th speed data (maximum minimum calculating step); If the band power ratio is smaller than 50, the speed range is calculated from the (n-1) -th speed data and the speed change value, and the n-th speed data is compared and verified within the speed range.

In the above, the speed value verifying step includes a step (maximum minimum calculating step) in which the maximum value and the minimum value are calculated in the speed data up to the (n-1) -th speed data; If the band power ratio is equal to or greater than 50, the nth rate data is compared with a value between the maximum value and the minimum value and verified.

In the above, the data verification step includes a step (ST-143, latitude and longitude verification step) in which latitude and longitude data included in the data are verified. The latitude and longitude included in the data correspond to the latitude and longitude And it is verified whether or not it is within the hardness range.

In the above, the data verification step includes a step (ST-145, mileage verification step) in which the cumulative odometer data included in the data is verified, and it is checked whether or not the cumulative odometer included in the data is greater than or equal to the previous value .

In the above, the data verification step includes a step (ST-145, mileage verification step) in which the cumulative odometer data included in the data is verified, and it is checked whether or not the cumulative odometer included in the data is greater than or equal to the previous value .

In the above case, if there is data in which GPS data is missing in the data arranged in chronological order, it further includes a prediction step after the data verification step; In the prediction step, missing GPS data is prepared and predicted by interpolation of neighboring GPS data in time sequence.

In the above, the post-prediction step further includes a visualization step; In the visualization step, a map including GPS information is displayed on the display unit, and a straight line passing through the center of the arc-shaped scale and the arc-shaped scale indicating the vehicle speed and the engine rotation speed is displayed; A symbol indicating the vehicle is displayed at the coordinate position of the map according to the data arranged in time order by the user's instruction through the input unit, and the straight line is displayed by changing the angle according to the vehicle speed and the engine rotation speed .

According to the digital running record verification method of the present invention, even if the data is not normally stored in the digital running recorder, the data can be verified and the driving record can be easily checked. To analyze the stored data.

1 is a block diagram showing a configuration of a digital running recorder mounted on a vehicle,
2 shows vehicle running data (type and size) stored in the memory of the digital running recorder,
FIG. 3 shows a system in which a digital running record verification method according to the present invention is executed,
4 is a flowchart showing a digital running record verification method according to the present invention,
FIG. 5 is a block diagram for explaining the verification step of the digital running record verification method shown in FIG. 4,
6 is an example of a velocity data graph,
FIG. 7 shows a graph in which the velocity data shown in FIG. 6 is converted into a frequency band in an area,
8 is a block diagram illustrating the speed data verification step.

Hereinafter, a digital running record verification method according to the present invention will be described in detail with reference to the drawings.

FIG. 3 shows a system in which a digital running record verification method according to the present invention is executed, FIG. 4 is a flowchart showing a digital running record verification method according to the present invention, FIG. 5 is a flowchart showing a digital running record verification method FIG. 6 is an example of a velocity data graph, FIG. 7 is a graph showing a graph in which the velocity data shown in FIG. 6 is converted into a frequency band, and FIG. And a speed data verification step.

FIG. 3 illustrates a system in which a digital running record verification method according to the present invention is executed. The system includes a display unit 130 (e.g., LCD) connected to the control unit 110 and a control unit 110 And a memory 170 connected to the control unit 110 and reading and storing data recorded in the memory of the digital running recorder. The display unit 130, the input unit 150, A controller 150 (e.g., a microcomputer) connected to the memory 170 and generating a control command. An example of a system in which the digital running record verification method is executed is a PC. The digital running record verification method of the present invention is stored in the memory 170 as an execution program and executed. It is also possible that a separate memory for storing the execution program is provided.

(ST-110) parsed (ST-120) data in the memory 17 of the digital running recorder (ST-130), the data sorting step And ST-140 (data verification step) in which data arranged in time order is verified. And a prediction step (ST-150) and a visualization step (ST-160) executed together with or after the data verification step. The data stored in the memory 17 of the digital running recorder is obtained by Chip-off or JTAG and stored in the memory 170 of the system 100 in which the present invention is executed.

The data extracted from the memory 17 of the digital running recorder and stored in the memory 170 is parsed in the form of data as shown in FIG. In parsing, a delimiter (delimiter example, 0X20) is found first. Then, data up to the data size (30 bytes in FIG. 2) or the next delimiter is searched and parsed into each data (time, latitude, longitude, etc.). The data obtained by this method is parsed into an analytical state (ST-120).

The data parsed in the data parsing step (ST-120) is sorted in chronological order. In the digital driving recorder, the vehicle data is stored together with the storage time at a time interval, so that the vehicle data always has time information. The time information extracted from the parsed vehicle data is used and sorted in chronological order, and a data verification step (ST-140) as the next step is executed.

In the verification, the vehicle speed data and the engine rotation speed data are verified (ST-141). The vehicle speed data and the engine rotation speed data, or both of them may be verified. These are all inclusive or, optionally, referred to below as 'velocity data'.

6 is a graph illustrating velocity data, in which the horizontal axis represents time and the vertical axis represents velocity values. Hereinafter, verification of the n-th data in the time L will be described by way of example. In the verification of the speed value (speed value verification step), the n speed data up to the time L is converted into the frequency band by the Fourier transform as shown in Equation 1 below (ST-1411).

은 속도 데이터를,

시간 L까지의 속도 평균값을,

는 주파수 대역으로 변환된 값을, k는 주파수를 나타낸다.
In Equation (1)

Lt; RTI ID = 0.0 >

The velocity average value up to the time L,

Denotes a value converted into a frequency band, and k denotes a frequency.

), 속도 데이터에서 최대값과 최소값이 연산된다(ST-1413)Then, the low band power value Lpw, the high band power value Hpw,

), The maximum value and the minimum value are calculated in the velocity data (ST-1413)

When the speed data is converted into the frequency band by the Fourier transform, the low band power value Lpw and the highband power value Hpw are calculated from the frequency band and stored in the memory 170. The low band power value Lpw and the high band power value Hpw are calculated as shown in the following Equations 2 and 3, respectively.

When the low band power value Lpw and the high band power value Hpw are calculated, the band power ratio Rofpw is calculated from the low band power value Lpw and the high band power value Hpw as shown in Equation 4 below. And stored in the memory 170.

In FIG. 7, the frequency domain converted speed data is divided into frequency regions. In FIG. 7, region A corresponds to the low band region and region B corresponds to the high band region.

As a result of checking, it is found that when the band power ratio Rofpw is close to 1, the low band power value becomes large and the speed variation amount is operated in an almost constant operation state. When the band power ratio Rofpw approaches 100, The band power value is increased and the operation is performed in the operation state in which the speed variation is large.

)이 연산된다. 모든 속도 데이터에 대하여 m번째 속도 데이터와 m+1번째 속도 데이터의 차가 연산되어 복수의 속도 변화값(

)이 얻어지며, 이들 중 최대값이 속도 변화값(

)이 되어 메모리(170)에 저장되고, 속도 범위는 아래 수학식 5와 같이 연산된다.In a speed value verification step (ST-141) for determining whether the n-th speed data is normal, a speed change value between the speed data neighboring in time from the (n-1)

) Is calculated. The difference between the m-th speed data and the (m + 1) -th speed data is calculated for all the speed data and a plurality of speed change values

), And the maximum value among them is the speed change value (

) And stored in the memory 170, and the speed range is calculated according to the following equation (5).

The minimum value and the maximum value are calculated and stored in the memory 170 in the speed data up to the nth speed data.

)을 입력부(150)를 통하여 입력하여 설정 시간(

) 범위에서 변환과 연산이 이루어질 수도 있다.
In verifying the n-th data at the time L, the above-mentioned conversion and operation may be performed from the first time of operation,

) Through the input unit 150 and outputs the set time (

) ≪ / RTI > range.

Hereinafter, a step (ST-1415) for comparing whether the n-th speed data corresponds to the normal range will be described.

범위이면 정상 데이터로,

밖의 값이면 비정상 데이터로 판단된다.If the band power ratio (Rofpw) is smaller than 50, the n-th speed data

If the range is normal data,

If the value is outside, it is determined to be abnormal data.

If the band power ratio Rofpw is 50 or larger than 50, the n-th speed data is larger than the minimum value when the n-th speed data is computed above and is between the minimum value and the maximum value stored in the memory 170 Or greater than the maximum value, the n-th speed data is judged to be the stored abnormal data because an error occurs due to an accidental impact or the like.

The data verification step (ST-140) includes a step (ST-143, latitude and longitude verification step) in which latitude and longitude data included in the data are verified. The latitude and longitude included in the data are verified against the latitude and longitude of the area (country) in which the vehicle is operated. The latitude and longitude range information of the area (country) where the vehicle is operated is stored in advance in the memory 170 together with the country name.

The data verification step (ST-140) includes a step (ST-145, mileage verification step) in which the accumulated mileage data included in the data is verified. The accumulated mileage included in the data is verified to be greater than or equal to the previous value. If the n-th cumulative running distance data is smaller than the (n-1) -th cumulative running distance data, the n-th cumulative running distance data is determined to be abnormal.

If there is data in which GPS data is missing in the data arranged in chronological order, the prediction step (ST-150) after the data verification step is further included. In the prediction step (ST-150), missing GPS data is prepared by interpolation of neighboring GPS data in chronological order and stored in the memory (170). If the GPS data is missing for reasons such as a vehicle traveling in a tunnel or between high buildings, missing data is provided by interpolation. For example, if the m-th GPS data is simply omitted, the average value of the (m-1) -th GPS data and the (m + 1) -th GPS data can be stored as the m-th GPS data. it is also possible that the weighting factor is calculated and calculated from the time between the (m-1) th and the m-th time, and the mth and (m + 1) th time data. A value with a longer time interval can be calculated to be smaller than 0.5, and a value with a shorter time interval can be calculated to be larger than 0.5.

Through the above steps, the vehicle data is verified, the abnormal data is deleted, and only the normal data is stored in the memory 170.

And a visualization step (ST-160) after the prediction step (ST-150). In the visualization step ST-160, a map including GPS information is displayed on the display unit 130, and an arc-shaped scale and an arc-shaped scale indicating the vehicle speed and the engine rotation speed are displayed. A straight line passing through is displayed. A symbol for displaying the vehicle at the coordinate position of the map is displayed according to the data arranged in chronological order by the user's instruction through the input unit, and the straight line is displayed by changing the angle with respect to the center according to the vehicle speed and the engine rotation speed. By visually displaying the data as described above, it becomes possible to visually check whether the verified data is abnormal.

ST-110: Data acquisition ST-120: Data parsing
ST-130: Data alignment ST-140: Verification
ST-150: Prediction ST-160: Visualization

Claims (11)

A display unit connected to the control unit and operated according to a control command from the control unit; a memory connected to the control unit; and an input unit connected to the control unit and serving as a command input unit of the user; (ST-130, data sorting step) in which the parsed data are read out from the memory constituting the digital running recorder in time order and the data sorted in time order (ST-140, data verifying step) ≪ / RTI > Wherein the data verification step includes a step ST-141 (speed data verification step) in which vehicle speed data included in the data or speed data that is engine rotation speed (RPM) data is verified. The method of claim 1, wherein the step (ST-141) comprises: a step of converting the speed data into a frequency band (frequency band conversion step); and a step of comparing the low band power value and the high band power value (Band power ratio calculating step), a step (band power ratio calculating step) of calculating a band power ratio from the low band power value and the high band power value calculated in the band power value calculating step, And a step of verifying the speed data (speed value verifying step);
In the frequency band conversion step,

Is converted into a frequency band by the equation,
The low band power value (Lpw)

Lt; / RTI >
The high band power value (Hpw)

Lt; / RTI >
The band power ratio (Rofpw)

Lt; / RTI >
In the above,

Speed data rate data,

The velocity average value up to the time L,

Is a value converted into a frequency band, and k is a frequency. The method according to claim 2, wherein the step of verifying the speed value comprises the step of verifying whether or not the speed change value between the speed data neighboring in time from the speed data up to the (n-1)

(A step of computing a speed change value); If the band power ratio is smaller than 50, the speed range is calculated from the (n-1) -th speed data and the speed change value, and the n-th speed data is compared and verified within the speed range;
In the above,

Wherein the step of calculating the digital driving record verification method comprises the steps of: 3. The method of claim 2, wherein the step of verifying the speed value includes a step of calculating a maximum value and a minimum value in the speed data up to the (n-1) -th speed data (maximum minimum calculating step); If the band power ratio is smaller than 50, the speed range is calculated from the (n-1) -th speed data and the speed change value, and the n-th speed data is compared and verified within the speed range;
In the above,

Wherein the step of calculating the digital driving record verification method comprises the steps of: 4. The method of claim 3, wherein the step of verifying the speed value includes a step of calculating a maximum value and a minimum value in the speed data up to the (n-1) -th speed data (maximum minimum calculating step); If the band power ratio is smaller than 50, the speed range is calculated from the (n-1) -th speed data and the speed change value, and the n-th speed data is compared and verified within the speed range;
In the above,

Wherein the step of calculating the digital driving record verification method comprises the steps of: 3. The method of claim 2, wherein the step of verifying the speed value includes a step of calculating a maximum value and a minimum value in the speed data up to the (n-1) -th speed data (maximum minimum calculating step); If the band power ratio is equal to or greater than 50, the nth rate data is verified to be a value between the maximum value and the minimum value and verified. 2. The method of claim 1, wherein the step of verifying the data includes a step of verifying latitude and longitude data included in the data (ST-143, latitude and longitude verification step), wherein latitude and longitude included in the data And comparing the latitude and the longitude of the region with the latitude and longitude of the region. 2. The method according to claim 1, wherein the step of verifying the data includes the step of verifying the accumulated mileage data included in the data (ST-145, mileage verification step), wherein the accumulated mileage included in the data is greater than the previous value And comparing the same with each other to be verified. 9. The method according to claim 8, wherein the step of verifying the data includes a step (ST-145, step of verifying distance traveled) in which the cumulative running distance data included in the data is verified and the cumulative running distance included in the data is greater than the previous value And comparing the same with each other to be verified. 10. The method according to any one of claims 1 to 9, further comprising a prediction step after the data verification step if there is data missing GPS data in the data arranged in chronological order; Wherein the GPS data missing by the interpolation method of neighboring GPS data is prepared and predicted in the estimation step. 11. The method of claim 10, further comprising: a visualization step after the prediction step; In the visualization step, a map including GPS information is displayed on the display unit, and a straight line passing through the center of the arc-shaped scale and the arc-shaped scale indicating the vehicle speed and the engine rotation speed is displayed; A symbol indicating a vehicle is displayed at a coordinate position of the map according to data arranged in time order by a user's instruction through an input unit, and a straight line is displayed by changing the angle according to the vehicle speed and the engine rotation speed Digital driving record verification method.

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