JPH01282430A - Method and apparatus for measuring static weight for running vehicle - Google Patents

Abstract

PURPOSE:To enable measurement of a static weight of a vehicle, by taking in a measured value of a running vehicle obtained by a measuring means as time-series measured value data to compute the time-series measured value data at an effective data section based on the periodicity thereof. CONSTITUTION:An analog electrical signal from a weighing means 2 is converted 33 into a digital signal from analog through an amplifier 31 and an LPF 32 to be stored into a memory means 41 of a central controlling unit 4. Then, the maximum value is determined by a periodicity evaluation means 42 from a sampling data stored and moreover, the periodicity thereof is evaluated by checking the maximum value thereof. Then, the sampling data within an effective data section set by an effective data section setting means 43 undergoes a mean computation by a computing means 44 to calculate a static weight value of a vehicle running on a measuring platform. Thus, an output signal of a tag recognition means 11 is sent to a dynamic weight measuring device 1 thereby enabling positive establishment of a vehicle corresponding to the weight being measured.

Description

DETAILED DESCRIPTION OF THE INVENTION [Field of Industrial Application] The present invention relates to a method and device for dynamic weight measurement of a vehicle that can determine the static weight value of the vehicle while the vehicle is running.

The method and device of the present invention can also be used for managing cases where heavy loads are loaded on a large number of vehicles and shipped or loaded, and for controlling excessive loading on general roads according to the Road Traffic Act.

[Conventional technology]

In conventional dynamic vehicle weight measuring devices, as is known from Japanese Patent Application Laid-Open No. 52-29772, for example, weighing values obtained when a vehicle passes are moving averaged, and the peak thereof is taken as the vehicle weight value. There is.

Furthermore, Japanese Patent Laid-Open Publication No. 2003-111003 has proposed that the moving average method can be used to remove unnecessary components from the electrical signal indicating the weighing value caused by the impact when an article is placed on the weighing platform or the natural vibration of the weighing platform. No. 62-280625.

[Issues that Hathu tries to solve]

In the above-mentioned conventional technology, time-series data of sampled weight values is directly processed by the averaging method. However, when attempting to obtain an estimate of the static weight of the vehicle being measured by averaging fluctuating data, it is important to determine how to set the data interval for averaging, that is, the effective data interval, in order to obtain a good estimate. The present inventor has come up with an idea that can be an important factor in obtaining the desired results. In order to accurately calculate the static weight of the traveling vehicle from the captured time-series data, the conventional technology that does not specifically select a valid data section for this calculation is difficult to calculate, especially when the weighed value fluctuates. If one attempts to estimate the static weight value of a vehicle while it is traveling on a weighing platform, a sufficiently accurate result is not obtained.

An object of the present invention is to provide a dynamic weight that provides more reliable results when calculating a static weight value by performing arithmetic processing on time-series data of weight values obtained from fluctuating weight values of a running vehicle. The purpose of the present invention is to provide a measurement method and device.

[Means to solve the problem]

In order to solve the above problems, the method for measuring the static weight of a running vehicle according to the present invention includes the following steps: (1) Weighing value data of a running vehicle obtained by a weighing means is converted into time-series weighing value data. (2) Calculating the periodicity of the time-series weight value data; (3) Setting a valid data interval from the time-series weight value data based on the periodicity; (4) It consists of calculating the static weight value of the vehicle by calculation from the time-series weighed value data in the valid data interval.

Further, the dynamic vehicle weight measurement device according to the present invention using the above method includes a weighing means for weighing the weight of a running vehicle, and a weighing value data obtained by the weighing means being sequentially converted into time-series weighing value data. The periodicity is calculated from the manual means of importing and the time-series weighed value data that has been imported.

a periodicity evaluation means for setting a valid data interval from the time-series weighing value data based on the periodicity; and a valid data interval setting means for setting a valid data interval from the time-series weighing value data in the valid data interval; and an output means for outputting the static weight value.

The weighing means described in this specification refers to a weighing means that expresses only the vertical load it receives as a weighed value, regardless of the horizontal load it receives.

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

[For production]

The operation of the present invention is shown in FIGS. 2 and 3 below as diagrams of the principle.
This will be clearly explained with reference to FIG.

Since the time-series weighing value data of a running vehicle weighed by the weighing means generally varies depending on the natural frequency, the present invention is characterized by utilizing this property, and periodicity evaluation. After calculating this periodicity by a means, based on this periodicity, the time-series data part corresponding to one or more periods is transmitted to the vehicle, and only the data that falls within a specifically set valid data interval is transmitted to the vehicle. This is the object of the calculation to determine the static weight value of . .

Therefore, even if the weight value output from the weighing means for weighing a moving vehicle fluctuates due to driving, the valid interval of time-series weight value data used to calculate the static weight is limited. , the calculation is performed to determine the static weight value after the data is set in accordance with the fluctuation cycle, that is, after the data to be calculated is optimally cut out, the vehicle is placed on the weighing platform. The vehicle structure that occurs when traveling on the ground, especially the vertical vibration of the vehicle due to the elasticity of its ground tires, and the vertical vibration of the vehicle due to long and elastically vibrating heavy loads, etc. The influence of fluctuations can be made extremely small.

The invention is not adversely affected by changes in vehicle speed on both sides of the scale.

(Reason 1) In other words, when the speed of a vehicle running on a scale changes, the vehicle applies a horizontal force to the scale through the frictional force of its ground contact due to this acceleration. This force itself does not cause a change in the overall weighed value in the weighing device of the present invention.

(Reason 2) If we consider a vehicle running on both sides of an ideal scale, if the vehicle is putting its full weight on both sides of the scale, it brakes the rotation of the wheels and slows down. This causes the vehicle to tend to roll forward, increasing the ground contact pressure of the front wheels and decreasing the ground contact pressure of the rear wheels, but it can be considered that there is no change in the total vertical load applied to the entire weighing surface. In this case, the amplitude of the vibrations at the wheels only increases.

And it is only possible that a small change in the vibration period may occur. Assuming that the vertical vibration of the vehicle on the scale is a simple sine function, for example, if the time-series weight value data is averaged in this one cycle period, this average calculation will be based on the time-series weight value data. Since the measurement is carried out in units of one cycle period, the vertical load on the weighing surface due to the vertical vibration of the vehicle is zero, and the static weight of the vehicle can be calculated. The present invention makes effective use of this natural force.

(An easy-to-understand example of calculating in units of cycles) If time-series weighing value data is calculated over a time period of one and a half cycles, a value containing a large error will be calculated from the static weight of the vehicle. The features of the operation of the invention can be easily understood.

Furthermore, as a means for smoothing the time-series weight value data, for example, there is a low-pass filter, but depending on the case, it may be possible to replace this by providing some kind of mechanical damper in the load cell section.

Although the obtained time-series weighing value data may be processed using an analog calculation method, it is more convenient to process the data using a digital method, for example, a digital filter method.

〔effect〕

This makes it possible to measure the static weight of the vehicle with high accuracy without stopping the vehicle.

Therefore, it is possible to quickly and easily calculate the static weight of a running vehicle while it is still running without stopping the vehicle, that is, without having to place the vehicle on both sides of the scale and stop the vehicle. It has the remarkable advantage of being easy to read its static weight accurately without having to worry about it.

Further, in a preferred embodiment of the present invention, when an average calculation or a moving average calculation is used for the calculation to determine the static weight,
If a window function is used, the influence of fluctuations in weight values can be further reduced.

Other features and effects of the vehicle dynamic measurement technology according to the present invention will be made clear along with the following examples.

〔Example〕

In carrying out the present invention, a weighing surface is specially hypothesized and used following the descending portion of the road surface at a point where the road surface descends in the direction of travel of the vehicle, and the hypothetical road surface is transferred from the rear end of this weighing surface to the next road surface. Once installed and used, the method or device of the present invention can be easily used even on public roads.

Embodiments of the present invention will be described below based on the drawings. Fifth
In the figure, a weighing means (2) equipped with a weighing platform (21) on which one vehicle can comfortably fit on a portion of a vehicle passageway (11) is shown weighing the surface of the weighing platform (21). Passage route (
11). A tag recognition means (12) for recognizing tags attached to each vehicle is provided near the weighing platform (21). The weighing means (2) is provided with a load cell (22) that detects the load of the vehicle running on the weighing platform (21) and outputs it in the form of an electrical signal. The weight is sent to the dynamic weight measuring device body (1) located in the area and used for determining the static weight value of the vehicle. Furthermore, since the dynamic weight measurement device (1) also receives the output signal of the tag recognition means (12), it is possible to reliably determine the vehicle corresponding to the weight currently being measured.

As shown in FIG. 1, the dynamic weight measuring device according to the present invention is composed of the measuring means (2) and a dynamic weight measuring device main body (1), and the main body (1) further includes the measuring means Input means (3) for receiving and receiving electrical signals indicating the weighing value sent from (2), central control unit (4) for determining the static weight value, and output means for outputting the determined static weight value It consists of (5). The human power means (3) includes an amplifier (31) for amplifying the analog electrical signal from the measuring means (2), a low-pass filter (32) for smoothing the output of the amplifier, and a smoothed signal for a predetermined sampling period. The central control unit (4) includes a storage means (41) for storing time-series data of sampled weight values, and a storage means (41) for storing time-series data of sampled weight values, and periodicity evaluation means (42) for calculating periodicity; and effective data interval setting means (43) for setting a valid data interval from the time series based on the periodicity.
and calculation means (44) for calculating a static weight value of a running vehicle from the time series data in the valid data section.
It consists mainly of microcomputers. Finally, as the output means (5), a CRT (51) and a printer (52) are used in this embodiment.

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

FIG. 2 is a graph of the amplifier output of an analog signal indicating the weighed value sent from the load sensor 22) when the vehicle runs on the weighing platform (21). In this graph, the area indicated by a is the state in which only the front wheels of the vehicle, in this case the truck, are placed on the weighing platform (21), and the area indicated by b is the state where the entire weight of the truck is on the weighing platform <2I>. ), and in the area indicated by C, only the rear wheels of the truck are placed on the weighing platform (21). The signal after applying a low-pass filter to this amplifier output is shown in FIG. Furthermore, from FIG. 4, which is an enlarged view of the AI (p) in FIG. 3 and shows the sampling of the analog output signal in this area, it can be seen how this analog weight value signal is sampled and quantized. I understand.The sampled weight value data is first sent to the central control unit (4).
is stored in the storage means (41). Next, the periodicity evaluation means (42) obtains the maximum value: 'vVmax from the stored sampling data, and from this calculates a data group having a value in a predetermined range, in this example, 90% or more of the maximum value. The total weight of the truck represented by
1) is regarded as a group of weighing value data. From the sampling data of this area, the periodicity evaluation means (42) further evaluates the periodicity by checking its maximum value. In the case of Fig. 3, the maximum value is w,
w3. There are 4 W,, w,,0.

Next, the valid data interval setting means sets the time point t1 at which the first local maximum value W1 appears as a starting point, and sets
A valid data section T is set with the end point being the time t when the maximum value W9 appears.

In setting this effective data section, the number of periods of peaks to be included can be set in advance depending on the type of vehicle, the natural frequency of the weighing means, etc. The sampling data within the valid data section thus set is averaged by the calculation means (44), and the static weight value of the vehicle running on the weighing platform (21) is calculated. In this average calculation, preferably a weighted average calculation method using an appropriate window function, such as a Hamming window, is used, thereby suppressing inconveniences associated with data extraction.

Further, for the purpose of shortening processing time, it is advantageous to extract only data exceeding a preset threshold value as targets for periodicity evaluation. Furthermore, in setting the effective interval, it is determined in advance that it is until at least the second maximum value appears, and when the second maximum value is obtained, the calculation means calculates the static weight using the data up to this point. If the occurrence of the third local maximum value is evaluated, the static weight will continue to be calculated using the period up to that point as the valid data interval, and if the third maximum value does not appear within the specified time, the second maximum value will be calculated. It is also advantageous to calculate the stationary superposition by using the period up to the point in time when the maximum value appears as the effective data interval.

In the embodiments described so far, the sampling data included in the set valid data interval is simply averaged, but more effective smoothing is performed for time series data with large fluctuations. 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 interval, using a multiple of the obtained period as the averaging time. The moving average values obtained in this way are evaluated, and the average or maximum value is taken, for example, and used as the static weight of the vehicle running on the weighing platform (21).

As shown in FIG. 6, the block diagram of the device according to the second embodiment is different from the device according to the first embodiment shown in FIG. The difference is that a value evaluation means (45) is further provided, and of course the calculation means (44') performs the moving average calculation as described above. Components in FIG. 6 with the same reference numbers as in FIG. 1 basically perform the same functions as those in FIG. 1, and will not be further explained here to avoid unnecessary duplication. .

Furthermore, in the embodiments described so far, the weighing platform (21) has a size that allows one vehicle to be placed on it, and is configured so that the entire load of the vehicle is measured at least for a certain period of time. The stand (21) is made large enough to carry only the front wheels or the rear wheels, and the respective loads are set, for example, as claimed in claim 2.
It is also possible to carry out the measurement using the method according to No. 1 and then calculate the static weight value.

Furthermore, by incorporating the method described above for weighing the front and rear wheels separately 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 weighed, that is, Figure 2 a.
and the weighed value when only the rear wheels are applied, that is, the second
The part shown in Figure C can be used for calculations to calculate the static weight value. This method can be constructed, for example, by the method according to claim 20.

Moreover, although a vehicle, particularly a truck, has been described as the object to be measured, it goes without saying that the present invention can also be applied to the measurement of other moving objects, such as animals.

Incidentally, although reference numerals are written in the claims section for convenient comparison with the drawings, the present invention is not limited to the structure shown in the accompanying drawings.

[Brief explanation of the drawing]

The drawings show a principle diagram and an embodiment of the invention to make the principle of the present invention easier to understand. Figure 1 is a block diagram of a dynamic weight measuring device, and Figure 2 shows a weighed value analog signal. Fig. 3 is a diagram showing the signal after applying a low-pass filter to the signal in Fig. 2, Fig. 4 is an enlarged view showing the sampling state of part A in Fig. 3, and Fig. 5 is a diagram showing the dynamic state of the vehicle. An external view showing weight measurement, and FIG. 6 is a block diagram showing another embodiment of the dynamic weight measurement device. (2)...Measuring means, (3)...Input means, (4)...Central control unit, (5)...
...Output means.

Claims (1)

[Scope of Claims] 1. A method of measuring a weight value while moving a vehicle on a weighing surface of a weighing device and reading the static weight of the vehicle from this, comprising: (1) using a weighing means. The obtained weighing value of the running vehicle is captured as time-series weighing value data, (2) the periodicity is calculated from the captured time-series weighing value data, (3) the captured time-series weighing value (4) a running vehicle that reads a static weight value of the vehicle from a value obtained by calculating from the time-series weighed value data in the valid data interval; static weight measurement method. 2. The method for measuring the static 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 static weight of a moving vehicle, which is captured in a smoothed state. 3. The method for measuring the static weight of a running vehicle according to claim 1 or 2, wherein in order to take in the weighed value data of the running vehicle obtained by the time-series weighing means, the time-series weighed value data is sampled in series. A method for measuring the static weight of a moving vehicle. 4. In calculating the periodicity from the imported time-series weighing value data, the period starts from the time of the maximum value exceeding the threshold value, and also starts from the time of the nth (n: natural number) that appears after that. The method for measuring the static weight of a running vehicle according to any one of claims 1 to 4, wherein the end point is determined at the time of the maximum value. 5. The method for measuring the static weight of a running vehicle according to claim 4, wherein the starting point is the time point of the first maximum value exceeding a threshold value. 6. The static weight of a running vehicle according to claim 4 or 5, wherein the n is determined to be a time interval sufficient for the periodicity to be presented from the weighed value data between the starting point and the ending point. Measurement method. 7. The method for measuring the static weight of a running vehicle according to any one of claims 1 to 3, wherein a valid data section is set based on the periodicity from the captured time-series weighed value data. Any one of claims 1 to 6, wherein the method determines the valid data interval with the starting point at the time of the local maximum value exceeding the threshold value and the ending point at the nth (n: natural number) local maximum value that appears thereafter. A method for measuring the static weight of a moving vehicle as described in one of the above. 8. The method for measuring the static weight of a running vehicle according to claim 7, wherein the starting point is a time point of the first maximum value exceeding a threshold value. 9. The static weight of a running vehicle according to claim 7 or 8, wherein the n is determined to be a time interval sufficient for the periodicity to be presented from the weighed value data between the starting point and the ending point. Measurement method. 10. Claim 1, wherein an average calculation method is used in the calculation from the time-series weighed value data within the valid data interval.
10. The method for measuring the static weight of a running vehicle according to any one of 9 to 9. 11. The dynamic weight measurement method according to claim 10, wherein the average calculation method is a weighted average calculation method. 12. The dynamic weight measurement method according to claim 11, wherein a window aperture is used in the weighted average calculation method. 13. Claim 1, wherein a moving average calculation is used in the calculation performed from the time-series weighed value data in the valid data interval.
13. The method for measuring the static weight of a running vehicle according to any one of 12 to 12. 14. The method for measuring the static weight of a running vehicle according to claim 13, wherein the moving average calculation is performed based on the periodicity. 15. The method for measuring the static weight of a running vehicle according to claim 14, wherein a window function is used in the moving average calculation. 16. According to any one of claims 1 to 15, the method of reading the static weight of the vehicle to be weighed from the numerical value calculated from the time-series weighing value data within the valid data interval is based on an empirical rule. How to measure the static weight of a vehicle. 17. If the method of reading the static weight of the vehicle to be weighed from the numerical value calculated from the time-series weighing value data within the valid data interval is the only numerical value obtained from the calculation, that numerical value is When a plurality of numerical values are obtained from the calculation, the average value of the plurality of values or the highest value of the plurality of values is read as the static weight of the vehicle to be weighed. A method for measuring the static weight of a moving vehicle as described in one of the above. 18. The method of reading the static weight of the vehicle to be weighed from the numerical value calculated from the time-series weighing value data within the valid data interval is a numerical value obtained from the calculation performed experimentally on a specific vehicle in advance. If there is only one value, then the calculated value, and if there are multiple numbers obtained from the calculation, the calculated value obtained by averaging the multiple values, or the highest calculated value among the multiple values, and the vehicle to be measured. The running vehicle according to any one of claims 1 to 15, wherein the calculated value is subjected to a correction value obtained by comparison with an actually weighed static weight to calculate and read the static weight of the vehicle to be weighed. static weight measurement method. 19. A method of measuring a dynamic weighing value while a vehicle is running on a scale and reading the static weight of the vehicle from this, comprising: (1) a moving vehicle obtained by the scale; (2) Calculate the periodicity from the imported time-series weighed value data; (3) Calculate the measured value of the ground pressure applied to the wheels as time-series weighed value data; (3) Calculate the periodicity of the ground pressure applied to the loaded wheels; From the weighed value data, set a valid data interval based on the periodicity, and (4) calculate the ground pressure applied to the front wheels of the vehicle from the numerical value calculated from the time-series weighed value data in the valid data interval. (5) As for the rear wheels of the running vehicle, in the same manner as above, the scale is used to apply the weight to the rear wheels separately from the processes described in items (1) to (4) above. (6) By the means described in (4) and (5) above, the static weight of the vehicle is obtained by adding the read average values of both ground pressures. How to measure the static weight of a vehicle. 20. Using a weighing surface on which all the ground-contacting parts of the vehicle to be weighed can be simultaneously placed and running, calculate the weight of the running vehicle from the time-series weighing value data obtained by applying the entire weight of the vehicle on this weighing surface. To read the static weight, from the time-series weighing value data, data portions where the differential value with respect to time is positive or negative and whose absolute value is large are excluded, and the remaining portion is treated as a valid data segment, which is generally convex. Obtain the average value of the central high-value data string part of the time-series weighing value data, and the summed value of the respective average values of the two low-value data string parts 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 measured is read from the average of the latter added value and the average value of the former high value data string portion. Method. 21. Obtain two time-series weight value data for one vehicle by running the front ground-contacting wheel group and the rear ground-contacting wheel group of the vehicle to be weighed separately on substantially both sides of one scale,
In order to read the static weight of the vehicle to be weighed from both time-series weighing value data, a differential value with respect to time is calculated from both time-series weighing value data, and whether the differential value is positive or negative and its absolute value is By excluding the large data portion and using the remaining portion as valid data divisions, the data are averaged from the data located on the upper side of both time-series weight value data, which are generally trapezoidal in shape, to the high values in the center. and two data string parts for each of the front ground contact wheel and the rear ground contact wheel, and read the static weight of the vehicle to be weighed from the value obtained by adding both average values obtained from both data groups. 4. The method for measuring the static weight of a running vehicle according to any one of 1 to 3. 22. Weighing means (2) for weighing the weight of the vehicle while traveling; Input means (3) for sequentially importing the weighed value data obtained by the weighing means (2) as time series weighed value data; and the time series. Periodicity evaluation means (42) that calculates the periodicity from the weighed value data; and Valid data interval setting means (43) that sets a valid data interval from the time-series weighed value data based on the periodicity.
a calculation means (44) for calculating a static weight value of the vehicle from the time-series weighing value data in the valid data interval; and an output means (5) for outputting the static weight value. Dynamic weighing device.