CN103424167A - Method using finished automobile metering vehicle scale to calculate axle weight - Google Patents
Method using finished automobile metering vehicle scale to calculate axle weight Download PDFInfo
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Abstract
The invention relates to a method using a finished automobile metering vehicle scale to calculate axle weight. The method includes the first step of using a weighing instrument to collect weight data of a vehicle continuously during the vehicle passes through the vehicle scale, and using the weight data as original signals to store, the second step of carrying out first filtering on the original signals, and obtaining first filtering signals, wherein the high-frequency interference of the first filtering signals is eliminated, the third step of carrying out an axle judging algorithm on the first filtering signals on the basis of adaptive filtering so as to judge the number of axles of the vehicle, and recording time points of each axle of the vehicle when the axle gets on the scale and gets off the scale, and the fourth step of searching for axle weight signals corresponding to each axle in the first filtering signals according to the number of axles and the time points of each axle of the vehicle when the axle gets on the scale and gets off the scale, and calculating the axle weight of each axle according to the axle weight signals. Therefore, the method can use the finished automobile metering vehicle scale to calculate the axle weight more accurately on the premise that any extra hardware is not added on the dynamic vehicle scale.
Description
Technical field
The present invention relates to the electronic-weighing field, especially relate to the heavy Weighing method of a kind of car load metering wagon balance reference axis.
Background technology
At harbour and Road Overload, the industry such as transfinite, need to know gross combination weight on the one hand, also need on the other hand to know that axle heavily reaches axle group weight.Heavily reach axle group weight by axle, can analyze vehicle cargo and whether load unbalance loading, whether Container Loading transfinites, and the weight of car load metering can judge whether vehicle overloads, thus support vehicles driving safety and extend highway serviceable life.
At present the axle for high speed crossing, the occasion such as transfinite heavily weighs, although can weighing axle load also can the weighing gross weight, it is limited that its axle is heavy, the axle group heavily reaches the gross weight precision, generally in ± 2.5% left and right, easily causes dispute, the reduction work efficiency.
In addition, although be generally used for the wagon balance of car load metering, complete vehicle weight accurately can be provided, generally in ± 5 ‰ left and right, the heavy and axle group weight of the axle of weighing apparatus vehicle can't be weighing crossed.Enable weighing, also need on the basis of wagon balance, add extra ancillary hardware, as axle recognizer etc.So both increase system cost, also reduced the reliability of system.
Summary of the invention
The objective of the invention is does not increase under the prerequisite of any additional hardware at the dynamic vehicle weighing apparatus, and a kind of Weighing method that car load metering wagon balance reference axis is heavy, the axle group is heavy that utilizes is provided.
The present invention is that to solve the problems of the technologies described above the technical scheme adopted be to propose a kind of heavy method of car load metering wagon balance reference axis of utilizing, and comprises the following steps:
A. at vehicle, pass through, in the process of wagon balance, to utilize the weight data of weighing instrument continuous acquisition vehicle, and preserve as original signal;
B. this original signal is carried out to the first filtering, obtain removing the first filtering signal of high frequency interference;
C. to this first filtering signal carry out one based on auto adapted filtering sentence the axle algorithm, thereby determine the number of axle of this vehicle, and record the moment point of weighing apparatus and lower weighing apparatus on each axle of this vehicle; And
D. according to the moment point of weighing apparatus and lower weighing apparatus on each axle of this number of axle and this vehicle, search for the heavy signal of axle of corresponding each axle in this first filtering signal, and weigh the axle weight of each axle of calculated signals according to this axle.
In one embodiment of this invention, this first filtering is used exponential filter, mean filter and Windowed filtering device to carry out filtering to this original signal successively.
In one embodiment of this invention, this step c also comprises the axle group that determines this vehicle; The method also comprises step:
F. according to the axle weight of this axle group and each axle, each axle that will belong to the axle group is sued for peace and obtains axle group weight.
The method of claim 1, is characterized in that, further comprising the steps of after arbitrary step of this step b-d:
E. this first filtering signal is carried out to the second filtering, obtain removing the second filtering signal of low-frequency disturbance;
F. according to this second filtering signal, the gross weight of measuring this vehicle;
And also comprise that after this step e it is benchmark that step: i. be take the gross weight of this vehicle, revises the axle weight of each axle by the axle anharmonic ratio example of each axle.
In one embodiment of this invention, this second filtering is used exponential filter and two exponential filter to carry out filtering to this first filtering signal successively.
In one embodiment of this invention, in this step c, this first filtering signal being carried out to the axle algorithm of sentencing based on auto adapted filtering comprises the following steps:
By adaptive infinite impulse response filte, this first filtering signal is carried out to filtering;
Obtain the difference signal between this adaptive infinite impulse response filte input signal, output signal;
This difference signal is added up, obtained the first accumulated value;
Inversion signal to this difference signal is added up, and obtains the second accumulated value;
Get the maximal value of this first accumulated value and the second accumulated value; And
Relatively this maximal value and a threshold value are sentenced axis signal to obtain one, when this maximal value is greater than a threshold value and this first accumulated value and is greater than this second accumulated value, this is sentenced axis signal and means to have on axle and weigh, when this maximal value is greater than a threshold value and this first accumulated value and is less than this second accumulated value, this is sentenced axis signal and means to have under axle and weigh, when this maximal value is less than a threshold value, this is sentenced axis signal and means not have weighing apparatus or lower weighing apparatus on axle.
In one embodiment of this invention, in this step c, this first filtering signal being carried out to the axle algorithm of sentencing based on auto adapted filtering also comprises: according to this, sentence the filter factor that axis signal upgrades this adaptive infinite impulse response filte.
The present invention, owing to adopting above technical scheme, based on dynamic car load metering wagon balance, when vehicle is crossed weighing apparatus, differentiates the upper and lower weighing apparatus of vehicle by weighing instrument, and the weighing data between the upper and lower weighing apparatus of autostore vehicle.On this basis, by filtering, sentence the axle algorithm, thereby judge the number of axle and axle group, registration of vehicle the first axle moment point that weighs up and down, and reference axis (group) is heavy.Because the solution of the present invention belongs to the car load metering, its measuring accuracy heavily weighs far above the axle by the axle metering, and does not need to add any hardware, has improved greatly user's ease of use, system reliability, work efficiency and cost performance.
The accompanying drawing explanation
For above-mentioned purpose of the present invention, feature and advantage can be become apparent, below in conjunction with accompanying drawing, the specific embodiment of the present invention is elaborated, wherein:
Fig. 1 illustrates car load metering schematic diagram according to an embodiment of the invention.
Fig. 2 illustrates according to an embodiment of the invention initial weighted signal, coarse filtration ripple signal, sentences axis signal figure.
Fig. 3 illustrates computing method process flow diagram according to an embodiment of the invention.
The roughing filter that Fig. 4 illustrates one embodiment of the invention forms.
The smart wave filter that Fig. 5 illustrates one embodiment of the invention forms.
Fig. 6 illustrates smart according to an embodiment of the invention filtering signal figure.
Fig. 7 illustrates and sentences according to an embodiment of the invention the axle algorithm block diagram.
Embodiment
According to embodiments of the invention, measure by car load at vehicle on wagon balance in weighing apparatus and lower weighing apparatus process,, calculate by waveform processing up and down in the weighing apparatus process at axle, extract and judge vehicle original axis and axle group information successively, complete the metering of complete vehicle weight in the process at whole vehicle on wagon balance.
Fig. 1 illustrates car load metering schematic diagram according to an embodiment of the invention.In Fig. 1,10 is car load metering wagon balance (hereinafter to be referred as wagon balance), and 20 is vehicle.The exemplary model of vehicle 20 is 15 types, has axle 1, axle 2, axle 3 totally 3 axles, and axle 1 is single shaft, and axle 2, axle 3 are connecting shaft or axle group.
In order in the process that guarantees to reach, sail out of at vehicle wagon balance 10, to obtain enough complete vehicle weight sampled datas to meet the requirement of dynamic weighing algorithm, need to meet following equation:
L1≥L2+α（1）
FS≥100
Wherein each meaning of parameters is as follows:
L1: weighing apparatus length, the mm of unit;
L2: cross the spacing of weigh vehicle the first axle and last axle, the mm of unit;
α: the minor increment that car load exists on wagon balance, the mm of unit;
FS: sample frequency, the Hz of unit;
At this, α is relevant with car speed, weighing apparatus length and dynamic weighing algorithm, is generally 1000mm.
Under the prerequisite that meets above formula (1), vehicle 20 wagon balance 10 of running steadily, wagon balance 10 will collect the weighing-up wave that LOAD CELLS produces, and as shown in Figure 2, this signal is called original signal.
In an embodiment of the present invention, wagon balance 10 both can have been used analog LOAD CELLS also can use digital weighing sensor.In addition, wagon balance 10 can be car load metering method dynamic vehicle weighing apparatus, and without adding any extra ancillary hardware.
In order to go out the number of axle, axle type by automatic discrimination, and calculate that car speed, axle are heavy, gross weight, to the treatment scheme of original signal as shown in Figure 3.As can be seen from the figure, this processing procedure mainly comprises: coarse filtration ripple 31, smart filtering 32, sentence axle algorithm 33, calculates the number of axle, the speed of a motor vehicle and axle and weigh 34, calculates gross weight 35 and revise axle to weigh 36.Below will elaborate:
Coarse filtration ripple 31
As shown in Figure 4, the roughing filter of execution aforementioned crude filtering 31 is arranged in order and is formed by exponential filter 41, mean filter 42 and Windowed filtering device 43.The exemplary mathematic(al) representation of every kind of wave filter is respectively:
Exponential filter:
Wherein: c is filter factor, and the c value is less, and filtering is darker, and scope is 0～1; Z is plural variable.
Mean filter:
Wherein: N is filter factor, and the N value is larger, and filtering is darker; Z is plural variable; I is natural number, from 0～(N-1).
The Windowed filtering device:
Wherein: M is filter factor, and the M value is larger, and filtering is darker;
K is natural number, from 0～(M-1);
π is circular constant.
Like this after the roughing filter be comprised of above-mentioned wave filter, the coarse filtration ripple signal obtained as shown in Figure 2, can see with original signal and comparing, and the signal to noise ratio (S/N ratio) of signal is greatly improved.
Sentence axle algorithm 32
Sentence the logic diagram of axle algorithm as shown in Figure 7, mainly comprise adaptive IIR (Infinite Impulse Response, infinite impulse response) wave filter 71, subtracter 72, phase inverter 73, the first totalizer 74, the second totalizer 75, get maximal value module 76, comparer 77 and upgrade filter coefficient module 77.The mathematic(al) representation of adaptive iir filter 71 is:
Wherein, q is filter factor, and the q value is less, and filtering is darker; Z is plural variable.
The whole course of work of sentencing the axle algorithm is as follows:
Coarse filtration ripple signal is at first by adaptive iir filter 71, obtain signal y (n), then ask the difference signal of adaptive iir filter input signal, output signal at subtracter 72 places, formula is Error=x (n)-y (n), obtains the Error signal.On this basis, by phase inverter 73, obtain anti-phase difference signal ,-Error signal, then first, second totalizer 74,75 respectively to Error ,-Error asks cumulative,
Acc1=Acc1+Error-D (6)
Acc2=Acc2-Error-D
Wherein Acc1 is the first accumulated value, and Acc2 is the second accumulated value.D is the algorithm amount of bias, can determine according to concrete system, and cumulative signal is done to following differentiation:
if(Acc1<0),Acc1=0; (7)
if(Acc2<0),Acc2=0;
After the value that obtains Acc1, Acc2, by getting maximal value module 76, that is:
if(Acc1>Acc2)
Acc=Acc1 （8）
else
Acc=Acc2
Finally by comparer 77, that is:
if(Acc>V)
if(Acc1>Acc2)
IsAxle=1
else
IsAxle=2
Acc1=0; （9）
Acc2=0;
esle
IsAxle=0
Wherein, IsAxle=0 means not have the upper and lower weighing apparatus of axle, and IsAxle=1 means to have on axle and weighs, and IsAxle=2 means to have under axle and weighs.V is the algorithm threshold values, according to concrete system, determines.
That is to say, when maximal value Acc is greater than threshold value V and the first accumulated value Acc1 and is greater than the second accumulated value Acc2, sentence axis signal IsAxle=1, mean to have on axle to weigh; When maximal value Acc is greater than threshold value V and the first accumulated value Acc1 and is less than the second accumulated value Acc2, sentence axis signal IsAxle=2, mean to have under axle to weigh; When maximal value Acc is less than threshold value V, sentence axis signal IsAxle=0, mean not have weighing apparatus or lower weighing apparatus on axle.
IsAxle has just formed and has sentenced axis signal, as shown in Figure 2 and Figure 6, t1, t2, the t3 axis signal of sentencing constantly means to have scale on axle, and the t4 axis signal of sentencing constantly means to have under axle and weighs.Note that in Fig. 2 and Fig. 6 it is the axis signal of sentencing amplified, in order to make graphics proportion suitable.
After obtaining the IsAxle signal, upgrade adaptive filter coefficient by upgrading filter coefficient module 78, that is:
If IsAxle==1
q=1;
else （10）
q=q-0.2;
if q<0.05
q=0.05;
Essence filtering 32
As shown in Figure 5, the smart wave filter of carrying out smart wave filter 32 is comprised of exponential filter 51, two exponential filter 52, and wherein the mathematic(al) representation of exponential filter 51, two exponential filter 52 is respectively suc as formula shown in (2) and formula (5).By the smart filtering signal that obtains after smart wave filter as shown in Figure 6, the signal to noise ratio (S/N ratio) of visible weighing-up wave has obtained further raising, for the Obtaining Accurate gross weight is got ready.
By to shown in Fig. 2 and Fig. 6 sentence axis signal and smart filtering signal is analyzed respectively, is calculated, just can obtain the number of axle, axle type, axle weight, car speed, the gross weight of vehicle, then axle is heavily revised.Get back to shown in Fig. 3, step 34 is for the number of axle, the axle that calculates vehicle is heavy, car speed, and step 35 is for calculating gross weight, and step 36 is for revising the axle weight.
(1) number of axle
As shown in Figure 2, can see after treatment 3 upper scale signals are arranged, just can judge this vehicle has 3 axles, and this is to be consistent with 15 vehicles.
(2) axle group
The axle group is mainly divided connecting shaft and non-connecting shaft, namely differentiates this vehicle and whether has connecting shaft.Exemplary deterministic process is as follows: according to sentencing axis signal, the moment point that axis signal produces sentenced in record, as the t1 in Fig. 2, and t2 and t3.At first calculate the difference between adjacent two moment point, as A1=t2 – t1, A2=t3 – t2; Then these two differences relatively, i.e. A1/A2, if A1/A2 >=2, second and third axle is connecting shaft; Otherwise, do not have connecting shaft.This is because the wheelbase between connecting shaft is far smaller than the wheelbase between non-connecting shaft.
(3) axle weight
The computing method that axle is heavy are as follows: according to the moment point of weighing apparatus and lower weighing apparatus on each axle of this number of axle and this vehicle, search for the heavy signal of axle of corresponding each axle in this first filtering signal, and then can be according to the axle weight of heavy each axle of calculated signals of this axle.
With Fig. 2, can be respectively from t1, t2, the coarse filtration ripple signal of t3 moment point is searched for toward left and right on time shaft, and the difference between more adjacent weight signal simultaneously, when difference is greater than or less than certain threshold values (as 500) continuously, just stop search, so just can obtain respectively the heavy signal shaft 1 of the axle shown in Fig. 2, axle 1+ axle 2, axle 1+ axle 2+ axle 3.By calculating the mean value of signal, obtain corresponding weight W 1, W2 and W3.Object that it should be noted that aforesaid operations should be the coarse filtration ripple signal shown in Fig. 2, because can improve like this precision that the Dynamic Weighting axle is heavy.
(4) axle group weight
Differentiate according to the axle group, each axle that belongs to the axle group is heavily sued for peace and just obtained axle group weight.
(5) car speed
From Fig. 2 and Fig. 6, can find out, t1, t4 are respectively the moment point of scale, lower scale on the vehicle first axis, and the length of truck scale is fixed, and is illustrated in figure 1 L1, and therefore, the average velocity computing formula of vehicle is: v=L1/ (t4-t1).
(6) gross weight
As shown in Figure 2, smoother through smart filtered weighing-up wave, therefore the computing method of gross weight are as follows: find out maximal value from weighing-up wave, get that maximal value is left and right and fixedly count the mean value of weighing data of (scope 1 ~ 50) as the gross weight of vehicle.
(7) revise the axle weight
Computing method heavy from axle and gross weight can be found out: axle is heavily evaluation on thick filtered signal, and gross weight is evaluation on the filtered signal of essence, certainly will cause so the heavy sum of gross weight ≠ axle, therefore must heavily be revised axle.Modification method is as follows: take gross weight as benchmark, proportionally axle is heavily revised.
Computing formula is as follows: the gross weight of supposing vehicle is w, and L root axle is arranged, and the axle of each axle is heavily w
1, w
2, w
3W
L, to rebuild positive formula as follows for each axle axle:
Wherein: i is natural number, and scope is 1～L;
J is natural number, and scope is 1～L.
While due to vehicle, crossing weighing apparatus, the vibration of the vibration of weighing apparatus, vehicle itself, and on vehicle when weighing apparatus road surface flatness,, at the uniform velocity in the weighing platform brake etc., all can not have influence on the weight signal waveform that weighing instrument collects.Its form showed is to have produced concussion or burr waveform on the weight waveform, has had a strong impact on the waveform judgement.The present invention adopts that the method for twice filtering is fine has solved above problem.If cross the weight signal waveform of weighing apparatus when vehicle more satisfactory, the words that weight waveform step itself is more smooth, can adopt a filtering (can select a kind of of coarse filtration ripple or smart filtering) mode, suitably regulate the filtering degree of depth of a filtering, use a filtering waveform to judge axle, axle group, reference axis and axle group are heavy, gross weight.A filtering mode is owing to before a filtering, needing waveform more smooth, actual vehicle weighing apparatus can't guarantee this point in using, thus the versatility of a filtering, correctness, accuracy can't and secondary filtering (adopting coarse filtration ripple and smart filtering) mention in the same breath.
The present invention can use at car load metering wagon balance, such as being used in the car load metering weighing apparatus for automobile system that transfinites, can integral transplanting in this system weighing instrument; Perhaps in dynamic car load metering track scale system, can also use the method, carry out the judgement of axletree logic and weight and calculate.
Although the present invention discloses as above with preferred embodiment; so it is not in order to limit the present invention, any those skilled in the art, without departing from the spirit and scope of the present invention; when doing a little modification and perfect, so protection scope of the present invention is worked as with being as the criterion that claims were defined.
Claims (7)
1. one kind is utilized the heavy method of car load metering wagon balance reference axis, comprises the following steps:
A. at vehicle, pass through, in the process of wagon balance, to utilize the weight data of weighing instrument continuous acquisition vehicle, and preserve as original signal;
B. this original signal is carried out to the first filtering, obtain removing the first filtering signal of high frequency interference;
C. to this first filtering signal carry out one based on auto adapted filtering sentence the axle algorithm, thereby determine the number of axle of this vehicle, and record the moment point of weighing apparatus and lower weighing apparatus on each axle of this vehicle; And
D. according to the moment point of weighing apparatus and lower weighing apparatus on each axle of this number of axle and this vehicle, search for the heavy signal of axle of corresponding each axle in this first filtering signal, and weigh the axle weight of each axle of calculated signals according to this axle.
2. the method for claim 1, is characterized in that, this first filtering is used exponential filter, mean filter and Windowed filtering device to carry out filtering to this original signal successively.
3. the method for claim 1, is characterized in that, this step c also comprises the axle group that determines this vehicle; The method also comprises step:
F. according to the axle weight of this axle group and each axle, each axle that will belong to the axle group is sued for peace and obtains axle group weight.
4. the method for claim 1, is characterized in that, further comprising the steps of after arbitrary step of this step b-d:
E. this first filtering signal is carried out to the second filtering, obtain removing the second filtering signal of low-frequency disturbance;
F. according to this second filtering signal, the gross weight of measuring this vehicle;
And also comprise that after this step e it is benchmark that step: i. be take the gross weight of this vehicle, revises the axle weight of each axle by the axle anharmonic ratio example of each axle.
5. method as claimed in claim 4, is characterized in that, this second filtering is used exponential filter and two exponential filter to carry out filtering to this first filtering signal successively.
6. the method for claim 1, is characterized in that, in this step c, this first filtering signal carried out to the axle algorithm of sentencing based on auto adapted filtering and comprise the following steps:
By adaptive infinite impulse response filte, this first filtering signal is carried out to filtering;
Obtain the difference signal between this adaptive infinite impulse response filte input signal, output signal;
This difference signal is added up, obtained the first accumulated value;
Inversion signal to this difference signal is added up, and obtains the second accumulated value;
Get the maximal value of this first accumulated value and the second accumulated value;
Relatively this maximal value and a threshold value are sentenced axis signal to obtain one, when this maximal value is greater than a threshold value and this first accumulated value and is greater than this second accumulated value, this is sentenced axis signal and means to have on axle and weigh, when this maximal value is greater than a threshold value and this first accumulated value and is less than this second accumulated value, this is sentenced axis signal and means to have under axle and weigh, when this maximal value is less than a threshold value, this is sentenced axis signal and means not have weighing apparatus or lower weighing apparatus on axle.
7. the method for claim 1, is characterized in that, in this step c, this first filtering signal carried out to the axle algorithm of sentencing based on auto adapted filtering and also comprise: according to this, sentence the filter factor that axis signal upgrades this adaptive infinite impulse response filte.
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| CN115655433A (en) * | 2022-12-29 | 2023-01-31 | 广东泓胜科技股份有限公司 | Weighing voltage data processing method based on piecewise function fitting and related equipment |
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| CN115330578B (en) * | 2022-08-22 | 2023-08-22 | 交通运输部规划研究院 | Highway axle load determining method, device, equipment and storage medium |
| CN115655433A (en) * | 2022-12-29 | 2023-01-31 | 广东泓胜科技股份有限公司 | Weighing voltage data processing method based on piecewise function fitting and related equipment |
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