JP2710785B2 - Method and apparatus for measuring stationary weight of running vehicle - Google Patents

Description

Description: BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a dynamic weight measuring method for a vehicle capable of determining a static weight value while the vehicle is running, and a device therefor.

The method and apparatus of the present invention can also be used for managing a case where a heavy load is loaded on a large number of vehicles and shipping or receiving the load, and for controlling the excessive load on a general road by a road traffic law.

[Conventional technology]

In a conventional dynamic weight measuring device for a vehicle, for example, as is known from Japanese Patent Application Laid-Open No. 52-29772, a weighing value obtained at the time of passing through a vehicle is moving averaged and its peak is used as a vehicle weight value. There is. In addition, it is disclosed in Japanese Unexamined Patent Publication (Kokai) No. H10-209703 that unnecessary components in an electric signal indicating a weighing value due to an impact when an article is placed on a weighing platform and an electric signal indicating a weighing value are removed using a moving average method. Known from 62-280625.

[Problems to be solved by the invention]

In the above-mentioned conventional technology, the time series data of the sampled weighing values is processed as it is by the average calculation method. However, in general, when trying to obtain an estimate of the stationary weight of the measured vehicle by averaging the fluctuating data, how to set the data section to be averaged, that is, the effective data section, is a good estimate. The inventor has come up with an important factor that can be obtained. In order to accurately calculate the stationary weight of the traveling vehicle from the captured time-series data, in the related art in which the effective data section to be calculated is not specifically selected, particularly when the weighing value fluctuates, If the vehicle attempts to estimate its static weight value while traveling on the weighing platform, it is not sufficiently accurate.

SUMMARY OF THE INVENTION An object of the present invention is to provide a dynamic weight capable of obtaining a more reliable result when calculating a static weight value by performing arithmetic processing from weighing value time series data obtained from a fluctuating weighing value of a traveling vehicle. It is to provide a measuring method and an apparatus.

[Means for solving the problem]

In order to solve the above problems, the method for measuring the stationary weight of a running vehicle according to the present invention includes the following steps: (1) weighing value data of the running vehicle obtained by the weighing means as time-series weighing value data; (2) calculating a maximum value from the time-series weighing value data, and calculating a periodicity of a data group within a predetermined range with respect to the obtained maximum value; (3) From the in-range data group within the predetermined range,
Setting an effective data section based on the periodicity; and (4) calculating a stationary weight value of the vehicle by calculation from the in-range data group in the effective data section.

Furthermore, the dynamic weight measuring device for a vehicle according to the present invention using the above method includes a weighing unit that weighs the weight of the running vehicle, and the weighing value data obtained by the weighing unit sequentially as time-series weighing value data. From the input means to be captured and the captured time-series weighed value data, a maximum value is obtained, and a periodicity evaluation is performed for a data group within a predetermined range with respect to the maximum value. Means, effective data section setting means for setting an effective data section based on the periodicity from an in-range data group within the predetermined range, and a stationary weight of the vehicle from the in-range data group in the effective data section. It comprises an arithmetic means for calculating the value and an output means for outputting the static weight value.

The weighing means described in the present specification is:
It refers to a weighing means for expressing only a received vertical load as a weighed value regardless of a received horizontal load.

The weighed value of a traveling vehicle generally vibrates at the natural frequency of the vehicle.

(Operation)

The operation of the present invention will be described with reference to FIGS.
This is clearly explained with reference to FIG.

Since the time-series weighed value data of the traveling vehicle weighed by the weighing means generally fluctuates according to the natural frequency, the present invention is characterized by utilizing this property, and the periodicity evaluation is performed. Means for calculating the periodicity from data within a predetermined range with respect to the maximum value of the data, and then, based on the periodicity, the time-series data corresponding to one or more of this period The part, that is, the data for determining the stationary weight value of the vehicle using only the data included in the particularly set valid data section, is set as the target of the calculation.

Here, the meaning of using a data group that is within a predetermined range from the maximum value generally means that when the vehicle weight is to be obtained as in the present application, the measurement is performed in a state where the load of the weighing target is fully applied. The true weighing value is based on being within a predetermined range from the maximum data value.

Therefore, even if the weighing value output from the weighing means for weighing the traveling vehicle fluctuates due to traveling, the effective section of the time-series weighing value data to be used for calculating the stationary weight is Since the calculation for determining the static weight value is performed after being set corresponding to the fluctuation cycle, that is, after the data to be calculated is optimally cut, the vehicle is mounted on the weighing platform. Fluctuations in weighing values with periodicity of vehicle structure caused by running on the vehicle, especially vertical vibration of the vehicle due to the elasticity of the grounding tire or heavy load that is long and elastically vibrated Can be made extremely small.

The invention has no adverse effect if the running speed of the vehicle on the weighing surface changes.

<< Reason 1 >> That is, when the traveling speed of the vehicle traveling on the weighing device changes, the vehicle gives a horizontal force to the weighing device via the frictional force of the ground contact portion due to the acceleration. This force itself does not change the overall weighed value in the weigher according to the present invention.

<< Reason 2 >> Considering that a vehicle runs on an ideal weighing surface, a traveling vehicle that applies the full weight of the vehicle on the weighing surface brakes the wheel rotation to reduce the speed. In addition, although the vehicle tends to lean forward, the contact pressure of the front wheels increases and the contact pressure of the rear wheels decreases, but it can be considered that there is no change in the total vertical load applied to the entire weighing surface. In this case only the amplitude of the vibrations at the wheels increases. And it is only possible that a slight change occurs in the oscillation period.
Assuming that the vertical vibration of the vehicle on the weighing device is a simple sine function, for example, averaging the time-series weighing value data in this one cycle period, this average calculation is based on the time-series weighing value data. Since the measurement is performed in units of one cycle, the vertical load on the weighing surface due to the vertical vibration of the vehicle becomes zero, and the stationary weight of the vehicle can be calculated. The present invention utilizes this natural force effectively.

<< Easy-to-understand example of calculating in cycle units >> If time-series weighing value data is calculated in a period of one and a half hours, a value including a large error from the stationary weight of the vehicle is calculated. The features of the operation of the invention can be easily understood.

Further, as means for smoothing the time-series weighing value data, there is, for example, a low-pass filter. However, depending on the case, a mechanical damper may be provided in the load cell unit and replaced with this.

The obtained time-series weighing value data may be processed in an analog manner, but more simply, it is convenient to perform a calculation process using a digital method, for example, a digital filter technique.

(Effect)

As a result, the stationary weight can be measured with high accuracy without stopping the vehicle.

Therefore, it is necessary to quickly and easily save the stationary weight of the running vehicle without stopping the running vehicle without stopping the vehicle, that is, to put the vehicle on the weighing surface and stop the vehicle. There is a remarkable advantage that the static weight can be read accurately without the need.

In addition, in the preferred embodiment of the present invention, when an average calculation or a moving average calculation is used for the calculation for determining the stationary weight, if a window function is used, the influence of the fluctuation of the weighing value can be further reduced. it can.

Other features and effects of the vehicle dynamic measurement technique according to the present invention will be clarified with the following embodiments.

〔Example〕

In carrying out the present invention, a weighing surface is specially provided temporarily at a road surface portion where the road surface descends in the traveling direction of the vehicle, following the descending portion, and the temporary road surface is used from the rear end of the weighing surface to the next road surface. When installed and used, the method of the present invention or the device of the present invention can be easily used even on a general road.

Hereinafter, embodiments of the present invention will be described with reference to the drawings. FIG. 5 shows a weighing means (2) having a weighing platform (21) on which a vehicle can be mounted with a margin on a part of the vehicle traffic path (11). Surface passage (11)
It is arranged so that it may correspond to the surface of. A tag recognizing means (12) for recognizing a tag attached to each vehicle is provided near the weighing platform (21). The weighing means (2) is provided with a load cell (22) for detecting the load of the vehicle traveling on the weighing platform (21) and outputting the load in the form of an electric signal. It is sent to the dynamic weight measuring device main body (1) disposed in the area, and is used for determining the stationary weight value of the traveling vehicle. further,
The dynamic weight measuring device (1) is provided with the tab recognizing means (1).
Since the output signal of 2) is also sent, the vehicle corresponding to the weight currently being measured can be reliably determined.

As shown in FIG. 1, the dynamic weight measuring device according to the present invention comprises the weighing means (2) and the dynamic weight measuring device main body (1).
The main body (1) further comprises an input means (3) for receiving an electric signal indicating a weighing value sent from the weighing means (2), and a central control device (4) for determining a static weight value. ) And output means (5) for outputting the determined static weight value. The input means (3)
An amplifier (31) for amplifying the analog electric signal from the weighing means (2), a low-pass filter (32) for smoothing the output of the amplifier, and an A / D for quantizing the smoothed signal with a predetermined sampling time. It consists of a converter (33). The central control unit (4) includes a storage unit (41) for storing time-series data of the sampled weighing value, and obtains the maximum value from the time-series data, and determines the maximum value within a predetermined range. And a periodicity evaluating means (42) for calculating the periodicity of the data group in the data group, and valid data for setting a valid data section based on the periodicity from the data group in the predetermined range. Section setting means (43)
Calculating means (44) for calculating a static weight value of the traveling vehicle from the in-range data group in the valid data section
And is mainly composed of a microcomputer. Finally, as the output means (5), in this embodiment, a CRT (51) and a printer (52) are used.

Next, with reference to FIGS. 2 to 4, the procedure for determining the stationary operation of the vehicle running on the weighing platform (21) in the dynamic weight measuring device according to the present invention will be described.

FIG. 2 is a graph of an amplifier output of an analog signal indicating a weighing value sent from the load cell (22) when the vehicle travels on the weighing platform (21). In this graph,
The area indicated by a is the state where only the front wheels of the vehicle, here the truck, are on the weighing platform (21), and the area indicated by b is the entire weight of the truck is on the weighing platform (21). The area indicated by c is a state in which only the rear wheels of the truck are placed on the weighing platform (21). The signal after low-pass filtering the output of this amplifier is shown in FIG. FIG. 4 is an enlarged view of part A of FIG. 3 and shows the sampling of the analog output signal in this area. From FIG. 4, how the analog weighing value signal is sampled and quantized is also shown. It can be understood. The sampled weighing value data is first stored in the storage means (41) of the central control device (4).

Next, the periodicity evaluation means (42) obtains the maximum value: Wmax from the stored sampling data, and from this, maps a data group having a value within a predetermined range, in this embodiment, 90% or more of the maximum value. The total weight of the truck represented by the middle b is regarded as a weighing value data group in a state where it is placed on the weighing platform (21).
From the sampling data in the area b, the periodicity evaluation means (42) further evaluates the periodicity by checking its maximum value. In the case of FIG. 4, the maximum value is W ₁ , W
₅ , W ₉ and W ₁₄ exist. Next, the valid data section setting means sets the valid data section T from the time point t _{1 at} which the first local maximum value W ₁ appears as the start point, and the time point t _{9 at} which the maximum value W ₉ at the third time, here, as the end point. Set.
In the setting of the effective data section, the number of peaks in the cycle can be set in advance according to the type of the vehicle, the natural frequency of the weighing means, and the like. The sampling data in the effective data section set in this manner is averaged by the calculating means (44), and the stationary weight value of the vehicle running on the weighing platform (21) is calculated. In this averaging operation, a weighted averaging operation method using an appropriate window function, for example, a Hamming window, is preferably used, thereby suppressing inconvenience associated with data extraction.

It is also advantageous to extract only data exceeding a preset threshold value as a target of periodicity evaluation for the purpose of shortening the processing time. Furthermore, in the setting of the effective section, at least the time until the second maximum value appears is determined in advance, and when the second maximum value is obtained, the calculating means calculates the static weight using the data up to this time. At the beginning, when the occurrence of the third maximum value is evaluated thereafter, the calculation of the static weight is continued as the effective data section up to that point, and when the third maximum value does not appear by the predetermined time, the second time There is also an advantage in that the static weight is calculated by setting the effective data section up to the time when the maximum value of appears.

In the above-described embodiments, in the set valid data section, the sampling data included in the section is simply averaged, but more effective smoothing is performed on the time-series data having a large fluctuation. For this purpose, a moving average calculation method can be adopted. In this case, for example, a moving average value is calculated using a window function such as a Hamming window as necessary over the effective data section, using the multiple of the obtained cycle as the averaging time. In this way,
The obtained moving average value is evaluated and, for example, the average value or the maximum value thereof is taken as the stationary weight of the vehicle running on the weighing platform (21). The block diagram of the device according to the second embodiment, as shown in FIG. 6, is different from the device according to the first embodiment shown in FIG. The difference is that a value evaluating means (45) is further provided, and the calculating means (44 ') performs the moving average calculation as described above. In addition, in FIG.
Those having the same reference numbers as those in the figure perform basically the same functions as those in FIG. 1, and will not be further described here to avoid unnecessary duplication.

In such a case, when reading the stationary weight of the vehicle to be weighed from the numerical value calculated from the data group within the range in the effective data section, if the numerical value obtained from the calculation is only one, the numerical value is calculated. When there are a plurality of numerical values obtained from the calculation, a configuration may be adopted in which the average value of the plurality of values or the highest value among the plurality of values is read as the stationary weight of the vehicle to be weighed.

Further, from the numerical value calculated from the data group within the range in the valid data section, when reading the stationary weight of the vehicle to be weighed, from the numerical value obtained from the calculation experimentally performed on a preset vehicle It is also possible to adopt a configuration in which the obtained corrected value is applied to the calculated value to calculate and read as the stationary weight of the vehicle to be weighed.

Further, in the embodiment described so far, the weighing platform (21) has a size for mounting one vehicle, and is configured to measure the total load of the vehicle at least for a certain period of time. The platform (21) may be configured to have a size that allows only the front wheel or the rear wheel to be mounted, measure the respective loads, and then calculate the static weight value.

Incorporating the method of weighing each front and rear wheel into the method of placing the entire vehicle on a weighing platform described in detail so far,
The weighed value when only the front wheels are applied, that is, the portion of FIG. 2A, and the weighed value when only the rear wheels are applied, that is, FIG. 2C
Can be used for calculation for calculating the static weight value.

That is, the following steps are performed when the dynamic weight value is measured while the vehicle is running on the weighing device and the stationary weight of the vehicle is read from the dynamic weighing value.

(1) The weighing value of the contact pressure applied to the front wheel of the running vehicle obtained by the weighing device is taken in as time-series weighing value data. (2) The period is obtained from the time-series weighing value data taken in. (3) setting an effective data section based on the periodicity from the captured time-series weighing value data; and (4) a numerical value calculated from the time-series weighing value data in the effective data section. The average value of the contact pressure applied to the front wheels of the vehicle is read out. (5) The rear wheels of the running vehicle are also read by the weighing device in the same manner as in the above (1) to (4). Separately from the processing described in the paragraph, read the average value of the ground pressure applied to the rear wheels, and (6) read the average of both ground pressures read by the means described in the above (4) and (5). For adding values Ri obtaining a still weight of the object vehicle.

In this case, the front grounding wheel group and the rear grounding wheel group of the vehicle to be weighed are separately driven on substantially both sides of one scale to obtain two time series weighing value data for one vehicle to be weighed. When reading the stationary weight of the traveling vehicle to be weighed from the two time-series weighed value data, a differential value with respect to time is calculated from each of the two time-series weighed value data. Excluding the data portion where the value is large, excluding the remaining portion, and from the data located on the upper side of the two time-series weighing value data, which are generally trapezoidal in shape, the average data sequence of the central high value among them. Part and two data strings for each of the front contact wheel and the rear contact wheel are obtained, and the stationary weight of the vehicle to be weighed is read from a value obtained by adding both average values obtained from both data groups. Make up Door is preferable.

On the other hand, by using a weighing surface on which all the grounding portions of the vehicle to be weighed can be placed and run at the same time, the time-series weighing value data obtained while multiplying the entire weight of the vehicle on the weighing surface is used. To read the static weight, except for the data portion where the differential value with respect to time is positive or negative and its absolute value is large from the time series weighing value data, and the rest is targeted,
The average value of the central high-value data string portion of the time-series weighing value data that is generally convex and the average value of the two low-value data string portions located before and after it are then added. And the stationary weight of the vehicle to be weighed is read from the average of the added value of the latter and the average value of the data string portion of the higher value.

In addition, although a vehicle, particularly a truck has been described as an object to be measured, the present invention can be applied to measurement of another moving object, for example, an animal within the scope of the present invention.

In the claims, reference numerals are provided for convenience of comparison with the drawings, but the present invention is not limited to the structure shown in the attached drawings.

[Brief description of the drawings]

The drawings show a principle diagram and an embodiment of the present invention for easily understanding the principle of the present invention. FIG. 1 is a block diagram of a dynamic weight measuring device, and FIG. 2 shows a weighing value analog signal. FIG. 3, FIG. 3 is a view showing a signal after a low-pass filter is applied to the signal shown in FIG. 2, FIG. 4 is an enlarged view showing a sampling state of a portion A in FIG. 3, and FIG. FIG. 6 is an external view showing weight measurement, and FIG. 6 is a block diagram showing another embodiment of the dynamic weight measurement device. (2) ... weighing means (3) ... input means (4) ...
Central control unit, (5) ... output means.

Continuation of the front page (56) References JP-A-59-73736 (JP, A) JP-A-63-81221 (JP, A) JP-A-52-129466 (JP, A) JP-A-62-280625 (JP, A) , A) JP-A-60-25419 (JP, A)

Claims (15)

(57) [Claims] 1. A method for measuring a weighed value while moving a vehicle on a weighing surface of a weighing device and reading a stationary weight of the vehicle from the measured value. (1) Obtained by weighing means The weighing value of the running vehicle is captured as time-series weighing value data. (2) A maximum value is obtained from the captured time-series weighing value data, and a data group within a predetermined range with respect to the maximum value. (3) From the in-range data group within the predetermined range,
Setting an effective data section based on the periodicity; and (4) measuring a stationary weight value of the vehicle based on a numerical value obtained by calculating from the data group within the range in the effective data section. Method. 2. The method for measuring the stationary weight of a running vehicle according to claim 1, wherein the weighing value of the running vehicle obtained by the weighing means is taken in as time-series weighing value data. A method for measuring the stationary weight of a running vehicle that captures value data in a smoothed state. 3. The method for measuring the stationary weight of a running vehicle according to claim 1, wherein the time-series weighing value data is sampled in order to capture the weighing value data of the running vehicle obtained by the weighing means. A method for measuring the stationary weight of a running vehicle that is captured as a series 4. In the calculation of the periodicity from the in-range data group, the cycle starts at a time point of a local maximum value exceeding a threshold value and starts at an n-th (n: natural number) local maximum value that appears thereafter. The method for measuring the stationary weight of a running vehicle according to any one of claims 1 to 3, wherein the time point of the value is determined as an end point. 5. The method for measuring the stationary weight of a running vehicle according to claim 4, wherein the starting point is a time point of a first maximum value exceeding a threshold value. 6. The running according to claim 4, wherein said n is determined to be a time interval sufficient to indicate said periodicity from said in-range data group between said start point and end point. A method for measuring the stationary weight of a medium vehicle. 7. The method for measuring the stationary weight of a running vehicle according to claim 1, wherein a valid data section is set based on the periodicity from the data group within the range. Is a static weight measurement method in which a valid data section is determined with a time point of a local maximum value exceeding a threshold value as a starting point and a time point of an n-th (n: natural number) local maximum value appearing thereafter as an end point. 8. The method for measuring the stationary weight of a running vehicle according to claim 7, wherein the starting point is a time point of a first maximum value exceeding a threshold value. 9. The running according to claim 7, wherein the n is determined to be a time interval sufficient for the periodicity to be presented from the data group within the range between the start point and the end point. A method for measuring the stationary weight of a medium vehicle. 10. The method for measuring the stationary weight of a running vehicle according to claim 1, wherein an average calculation method is used in the calculation from the data group within the valid data section. 11. A method for reading a stationary weight of a vehicle to be weighed from a numerical value calculated from the data group within the range in the valid data section, the method comprising: 11. The method according to claim 1, wherein, when a plurality of numerical values are obtained from the calculation, an average value of the plurality of values or a maximum value among the plurality of values is read as a stationary weight of the vehicle to be weighed. The method for measuring the stationary weight of a running vehicle according to any one of the preceding claims. 12. A method for reading the stationary weight of a vehicle to be weighed from a numerical value calculated from the data group in the range in the valid data section, the method comprising: 11. The method for measuring the stationary weight of a running vehicle according to claim 1, wherein a correction value is applied to the calculated value to calculate and read the stationary weight of the vehicle to be weighed. 13. A weighing surface on which all the grounding portions of the vehicle to be weighed can be simultaneously placed and run, and the time series weighing value data obtained by applying the entire weight of the vehicle on the weighing surface is used. To read the stationary weight of the traveling vehicle, the time-series weighing value data excludes the data portion whose absolute value is positive or negative and the absolute value of which is large, and targets the remaining portion, and thus has a generally convex shape. In the time series weighing value data that is, the average value of the data sequence portion of the central high value, and the added value obtained by adding the respective average values of the two data sequence portions of the low value located before and after it, The static weight measurement of a running vehicle according to any one of claims 1 to 3, wherein the static weight of the vehicle to be weighed is read from the average of the added value of the latter and the average of the data string portion of the former high value. Method. 14. A time-series weighing value data for one vehicle to be weighed, wherein a front ground wheel group and a rear ground wheel group of the vehicle to be weighed are respectively run on substantially both sides of one weigher. To obtain the static weight of the vehicle to be weighed from the two time-series weighed value data, to calculate the differential value with respect to time from the two time-series weighed value data, respectively, this positive or negative, Excluding the data part where the absolute value is large, and targeting the remaining part, of the two time-series weighing data, which are generally trapezoidal in shape, average data of the central high value among the data located on the upper side of the data. Column part,
4. A stationary weight of a vehicle to be weighed from a value obtained by adding two data strings for each of a front contact wheel and a rear contact wheel, and adding both average values obtained from both data groups. The method for measuring the stationary weight of a running vehicle according to any one of the preceding claims. 15. A weighing means (2) for weighing the weight of the vehicle during traveling, and an input means (3) for sequentially taking in the weighing value data obtained by the weighing means (2) as time-series weighing value data.
A periodicity evaluation unit (42) for calculating a maximum value from the time-series weighed value data and calculating a periodicity thereof from a data group within a predetermined range with respect to the maximum value; Valid data section setting means (43) for setting a valid data section based on the periodicity from a data group within the range; and calculating a stationary weight value of the vehicle from the data group within the range in the valid data section. A dynamic weight measuring device for a vehicle, comprising: an arithmetic means (44) for performing the calculation; and an output means (5) for outputting the static weight value.