CN100520317C - Fixed type vehicle dynamic weighting system - Google Patents

Fixed type vehicle dynamic weighting system Download PDF

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Publication number
CN100520317C
CN100520317C CNB2007100671504A CN200710067150A CN100520317C CN 100520317 C CN100520317 C CN 100520317C CN B2007100671504 A CNB2007100671504 A CN B2007100671504A CN 200710067150 A CN200710067150 A CN 200710067150A CN 100520317 C CN100520317 C CN 100520317C
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weighing
data processing
processing unit
speed
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CN101038206A (en
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周立芳
安庆敏
黄克强
吴明光
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Zhejiang University ZJU
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Zhejiang University ZJU
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Abstract

The present invention discloses a stationary type moving vehicle weighing system including a picture pick-up system, a high-speed pre-detecting subsystem for the dynamic weighing, a low-speed and high-precision weighing executing subsystem and an alarming system of the information board. The high-speed pre-detecting subsystem consists of a high-speed angle block weighing sensor, a data processing unit, an automatic vehicle classifying device, a floodlight and the first computer; the low-speed and high-precision weighing executing subsystem consists of a weighing platform, a data processing unit, an automatic vehicle classifying device, a right of way signal lamp and a second computer. The system pre-detects the whole weight and the shaft weight of the vehicles passing and filters the vehicles that may break the rules which are guided into the detecting area and are performed a second detecting by the low-speed and high-precision weighing system. The the vehicles that may break the rules are filtered automatically when the vehicles are running and the real weight of the vehicles are obtained by providing a signal processing method of combining a small wave converting and a hereditary arithmetic and eliminating the high and low frequency interference and by performing the ARX model identification of the processed signals.

Description

Fixed type vehicle dynamic weighting system
Technical field
The present invention relates to vehicle dynamic weighing technology field, relate in particular to a kind of fixed type vehicle dynamic weighting system.
Background technology
Vehicle overload overload transportation has caused a series of negative effect: damage the highway foundation facility, upset transport market, national set-fee and tax revenue run off in a large number, and traffic hazard takes place frequently, and hinder the structural adjustment of auto manufacturing, pollute highway environment along the line etc.Overrun and overload needs the comprehensive regulation, removes and accelerates legislation, strengthens law enforcement dynamics, carries out deeply outside the education widely, is equipped with the advanced and applicable vehicle dynamic weighing system technological means that is absolutely necessary.Road vehicle dynamic weighing (Weight in Motion is called for short WIN) is meant that (50~200km/h), the axle of measuring vehicle weighs and complete vehicle weight vehicle under the cruising condition.Weigh with (low speed) state static state (quasistatic) down of stopping and to compare, the advantage of dynamic weighing be efficiently, automaticity is high, weighing can not influence normal communications and transportation.Its shortcoming is, reliably obtaining of weighing-up wave is difficult, and the signal that the obtains multiple interference that still superposes except that the vehicle actual weight, has a strong impact on measuring accuracy, and there is a large amount of technical barriers in the vehicle actual weight that obtains wishing; Corresponding weighing system complex structure, expensive, the dynamic weighing precision is compared with static state and is remained in certain gap in addition.Therefore, developed country all adopts haulage vehicle is carried out the preliminary examination of online in real time high speed dynamic weighing, only the overrun and overload suspected vehicles is carried out the solution that low speed is weighed and rechecked again.
The multiple interference that also superposes except that the actual weight of vehicle when vehicle dynamic is weighed, the feature of interference depends on vehicle structure and load situation, vehicle running state, road surface situation and weighing system structure etc.Therefore, travel in the weight of vehicle be not a constant.Existing achievement in research shows that the characteristics that vehicle dynamic is weighed are: the vehicle in travelling is in a kind of low-frequency vibration state, and its frequency and vehicle structure, load distribution are relevant with the road surface situation, about 5Hz; The vibration that weighing system produces, its frequency is relevant with the structure of weighing system, is about 10Hz; Shock load when vehicle sails, sails out of bent plate LOAD CELLS (also deserving to be called plate, lower plate) into, its frequency is relevant with the rigidity of LOAD CELLS, is about 50Hz.Now with the wide LOAD CELLS of 0.5m, the typical high-speed weighing operating mode of speed of a motor vehicle 100km/h is an example, and only be 0.018s the duration of contact of vehicle and sensor; Deduct the shock load time of upper and lower plate, sensor response time, the effective time≤0.015s that weighs.Therefore, vehicle had just left LOAD CELLS when weighing-up wave reached plateau far away, and promptly the dynamic weighing signal is the incomplete short course non-stationary signal of a kind of typical periodic disturbances information.Though in the time domain based on the mean value method that offsets thought, the displacement integral method, frequency domain Fourier transform based on filtering technique, it is effective in truck scale (static, quasistatic) is weighed, but the effective prerequisite of said method is that weighing-up wave has stationarity, and high speed dynamic weighing signal non-stationary signal exactly.Must be pointed out that effectively input is not only relevant with signal processing algorithm, more depends on measured signal form and interference characteristic.
Vehicle classification is continued to use the inductive coil detecting device for many years always.Along with the raising that vehicle classification requires, the deficiency of coil checker on parameters such as vehicle tyre number, tire distance are differentiated, giving enforces the law justly causes some negative influence.The data processing unit of existing dynamic weighing system is realized by universal microcomputer processors such as single-chip microcomputers mostly, by whole data processing of software control and vehicle classification workflow.Engineering practice shows that under vibrations and electromagnetic interference environment, there is the phenomenon of program fleet in software, influences the reliability of whole weighing system work.On the other hand, the high speed Dynamic Signal of LOAD CELLS output is typically short course non-stationary signal, and the actual weight that obtains vehicle from short course non-stationary signal be unable to do without one and overlaps complicated algorithm targetedly.No matter unit structure commonly used at present all can not be satisfactory from the rationality of computing power, real-time, reliability and flow process.There is big gap both at home and abroad in high speed dynamic weighing sensor, especially fundamental research and the extensive long-term engineering examination at sensor material is wanting in apart from bigger, in view of domestic enterprise does not still have the fact that strength provides product level high speed dynamic pickup, so adopt the WPM175 type bent plate sensor (the measurement instrument type approval certificate 2000F190 of the People's Republic of China (PRC)) of German PAT company.
Summary of the invention
The purpose of this invention is to provide a kind of fixed type vehicle dynamic weighting system.Overcome the deficiency of existing vehicle dynamic weighing system.
Fixed type vehicle dynamic weighting system comprises camera system, high speed dynamic weighing preliminary examination subsystem, low-speed highly precise weigh law enforcement subsystem, advices plate warning system; The annexation of camera system internal module is: video camera links to each other with video distributor, camera system native processor, DVR, video matrix; The weigh annexation of law enforcement subsystem internal module of low-speed highly precise is: second data processing unit links to each other with hyperchannel interface board, interface board, vehicle classification device interface board respectively, the hyperchannel interface board links to each other with low speed entry signal lamp with the low speed alarm by RS422, I/O respectively, interface board links to each other with weighing platform, and vehicle classification device interface board links to each other with the second lane piezoelectric sensor; The annexation of high speed dynamic weighing preliminary examination subsystem internal module is: first data processing unit links to each other with vehicle classification device interface board, the interface board of weighing respectively, vehicle classification device interface board links to each other with the first lane piezoelectric sensor, and the interface board of weighing links to each other with high speed bent plate LOAD CELLS; Advices plate warning system internal module comprises: overload warning device center processor and alarm indication device; Video matrix links to each other with first computing machine, second computing machine respectively, and first computing machine links to each other with overload warning device center processor, data processing unit through the RS422 converter respectively, and second computing machine links to each other with data processing unit through the RS232/RS422 converter.
The annexation of described data processing unit internal module is: microprocessor links to each other with RS232 serial communication unit, DSP I/O queue unit, AD I/O queue unit, AD sampling controller respectively, AD converter links to each other with AD sampling thief, AD I/O queue unit respectively, the RS232 serial communication unit is changeed the RS422 module through RS232 and is linked to each other with the RS422 interface, and DSP I/O queue unit links to each other with digital processing unit.
Microprocessor, the AD sampling controller, the interface circuit of DSP I/O queue unit is: the 14th of FPGA, 23,62,71 pins connect the 1st respectively, 2,3, the 4th of one end of 4 resistance and 1JTAG interface, 3,2,1 pin, the 1st, 2,3, the other end ground connection of 4 resistance, the 1st of FPGA, 2,7,19,32,42,47,59,72,82,83,84 pin ground connection, the 3rd of FPGA, 13,26,38,43,53,66,78 pins connect power supply, the 75th of FPGA, 77,79 pins connect the 5th respectively, 6, the 2nd of one end of 7 resistance and 2JTAG interface, 4,5 pins, the 5th, another termination power of 6 resistance, the other end ground connection of the 7th resistance, the 1st of 2JTAG interface, 5 pins connect power supply and ground respectively.The 81st pin of FPGA connects an end of the 1st electric capacity and an end of the 8th resistance respectively, another termination power of the 1st electric capacity, and the other end ground connection of the 8th resistance, the 54th pin of FPGA is a data output I/O mouth.
The high-speed weighing sensor is a WPM175 type electromechanical integration bent plate sensor.First automatic vehicle classifying device, second automatic vehicle classifying device adopt the multipolymer piezoelectric sensor.First data processing unit, second data processing unit adopt based on the hard logic door of the FPGA multi-machine collaborative architecture in conjunction with DSP.
There is the fact of big gap both at home and abroad in the present invention in view of high speed dynamic weighing sensor, introduction maintains the leading position in the dynamic weighing field, the WPM175 sensor of world market share first (German PAT company) is guaranteed long-term, stable, the operation reliably of system.
The deficiency of conventional coil detecting device during at vehicle classification, propose to adopt the multipolymer piezoelectric sensor: the multipolymer piezoelectric sensor that be arranged in parallel by two vertical direction of traffics of long 3.5m, at a distance of 3.5m, and one tilted 45.The multipolymer piezoelectric sensor form, finish the vehicle number of axle, wheelbase, tire number, the isoparametric identification of car speed.Dynamic weighing data processing unit at the unit structure exists the software race to fly, the computing power deficiency, the defective that real-time can't guarantee proposes to adopt based on the multi-machine collaborative hardware architecture of FPGA hard logic door in conjunction with DSP, has improved the reliability and the real-time of dynamic weighing system.
High speed Dynamic Signal based on LOAD CELLS output is the understanding that typical periodic disturbances information is not lacked the course non-stationary signal entirely, proposes to obtain the total solution of vehicle actual weight.The first step adopts Wavelet Transformation Algorithm to carry out the multilayer wavelet transformation, and high frequency interference is wherein forced the zero clearing de-noising, carries out wavelet reconstruction then, obtains dispeling the vehicle weighing signal of high frequency interference.Second step was adopted genetic algorithm, simulated the parameters such as amplitude, phase place, angular frequency of dynamic load, eliminated low-frequency disturbance in reconstruction signal.The 3rd step offseted the dynamic restructuring signal that disturbs except low-and high-frequency and carries out the System Discrimination of ARX model, finally calculated the actual weight of vehicle.Wavelet transformation is as the great theoretical result in signal Processing field at the end of the eighties in last century, be a kind of time of signal---and yardstick (time---frequency) analytical approach, it has the characteristics of multiresolution analysis, all having the ability that characterizes local signal in time-domain and frequency-domain, is a kind of time-frequency localization analytical approach.Utilize wavelet transformation to have higher temporal resolution and lower frequency resolution at HFS, have the excellent specific property of higher frequency resolution and lower temporal resolution in low frequency part, be particularly suitable for the incomplete short course non-stationary dynamic weighing signal Processing of periodic disturbances information.
Description of drawings
Fig. 1 is fixed dynamic weighing system structured flowchart;
Fig. 2 is a data processing unit circuit block diagram of the present invention;
Fig. 3 is microprocessor of the present invention, AD sampling controller, DSP I/O queue unit interface circuit diagram;
Fig. 4 is a high speed dynamic weighing previewing system arrangenent diagram of the present invention;
Fig. 5 is a low-speed highly precise dynamic weighing enforcement system arrangenent diagram of the present invention;
Fig. 6 is a low-speed highly precise dynamic weighing enforcement system workflow diagram of the present invention;
Fig. 7 is a multipolymer piezoelectric sensor arrangenent diagram of the present invention;
Fig. 8 is the signal graph of list/two-wheel of the present invention by the multipolymer piezoelectric sensor;
Fig. 9 is a high speed dynamic weighing previewing system workflow diagram of the present invention;
Figure 10 is a wavelet decomposition synoptic diagram of the present invention;
Figure 11 is single phase of the present invention genetic algorithm fitting result chart;
Figure 12 is a multistage genetic algorithm fitting result chart of the present invention.
Embodiment
The present invention is further illustrated below in conjunction with accompanying drawing.
Fixed type vehicle dynamic weighting system comprises camera system, high speed dynamic weighing preliminary examination subsystem, low-speed highly precise weigh law enforcement subsystem, advices plate warning system as shown in Figure 1; The annexation of camera system internal module is: video camera links to each other with video distributor, camera system native processor, DVR, video matrix; The weigh annexation of law enforcement subsystem internal module of low-speed highly precise is: second data processing unit links to each other with hyperchannel interface board, interface board, vehicle classification device interface board respectively, the hyperchannel interface board links to each other with low speed entry signal lamp with the low speed alarm by RS422, I/O respectively, interface board links to each other with weighing platform, and vehicle classification device interface board links to each other with the second lane piezoelectric sensor; The annexation of high speed dynamic weighing preliminary examination subsystem internal module is: first data processing unit links to each other with vehicle classification device interface board, the interface board of weighing respectively, vehicle classification device interface board links to each other with the first lane piezoelectric sensor, and the interface board of weighing links to each other with high speed bent plate LOAD CELLS; Advices plate warning system internal module comprises: overload warning device center processor and alarm indication device; Video matrix links to each other with first computing machine, second computing machine respectively, and first computing machine links to each other with overload warning device center processor, data processing unit through the RS422 converter respectively, and second computing machine links to each other with data processing unit through the RS232/RS422 converter.
As shown in Figure 2, the annexation of data processing unit internal module is: microprocessor links to each other with RS232 serial communication unit, DSP I/O queue unit, AD I/O queue unit, AD sampling controller respectively, AD converter links to each other with AD sampling thief, AD I/O queue unit respectively, the RS232 serial communication unit is changeed the RS422 module through RS232 and is linked to each other with the RS422 interface, and DSP I/O queue unit links to each other with digital processing unit.
First data processing unit, second data processing unit adopt based on the hard logic door of the FPGA multi-machine collaborative architecture in conjunction with DSP.Whole data processing and the vehicle classification flow process of weighing coordinated in the hard logic gate control, eliminated the program fleet phenomenon that general purpose microprocessor software exists, and improved the reliability of weighing system; The reasonable assign task of multi-machine collaborative system, Resources allocation have promoted the computing power of data processing unit, possess the ability of real-time processing high speed dynamic weighing signal complicated algorithm.The multipolymer piezoelectric sensor, the simulating signal that high speed bent plate LOAD CELLS (weighing platform) produces is converted to digital signal through the AD785 chip, and its sample frequency is 300KSPS.Hard logic door based on FPGA adopts the design of verilogHDL hardware description language, select the XCV100FPGA chip of XILINX company for use, and it is configured to MCU, AD sampling controller, AD I/O queue unit, DSP I/O queue unit and RS232 module.The RS232 interface changes the RS422 module by the RS422 interface and first compunication through RS232, the A/D sampling of AD sampling controller control AD785, and sampled signal is stored in AD I/O queue unit module.Multipolymer piezoelectric sensor signal is finished the vehicle parameter recognition by the MCU module, carries out vehicle classification by first computing machine according to the traffic specification of various places again; High speed bent plate LOAD CELLS (weighing platform) signal then exports DSP to, the 16 bit DSP chip TMS320VC5509A operation dynamic weighing signal processing software of fixing a point, and result is recycled to the MCU module; The MCU module is changeed the RS422 module through RS232 and is exported the vehicle parameter and the data of weighing to computing machine by the RS422 interface by the RS232 interface.
The part verilog HDL program of FPGA block configuration is as follows:
The AD sampling controller:
module?ADC_top(clock,out,read_clk,data,ad_clk,A,OE,EOC,ALE);
input[7:0]data;
input?clock;
output?ad_clk;
output[2:0]A;
output[7:0]out;
output?OE;
input?EOC;
output?ALE;//START?is?connected?to?ALE
input?read_clk;
assign?A=3′b000;
reg[7:0]out_buf;
reg[7:0]out;
always@(posedge?read_clk)
begin
out<=out_buf;
end
reg?read1,read2;
always@(posedge?ad_clk)
begin
read1<=read_clk;
read2<=read1;
end
reg?ALE;
always@(posedge?ad_clk)
begin
If (read1 ﹠amp; ﹠amp; ! Read2) // and rising edge, start
begin
ALE<=1′b1;
end
else
ALE<=1′b0;
End //finish
reg?EOC1,EOC2;
always@(posedge?ad_clk)
begin
EOC1<=EOC;
EOC2<=EOC1;
end
reg?OE;
always@(posedge?ad_clk)
begin
if(EOC1?&&?!EOC2)
OE<=1′b1;
else
OE<=1′b0;
end
always@(posedge?ad_clk)
begin
if(OE)
out_buf<=data;
end
wire[25:0]dADC;
wire[7:0]din;
assign?dADC=26′d50;
fre_div?myfredADC(
.clk_in(clock),
.d(dADC),
.clk_out(ad_clk)
);
endmodule
The RS232 module:
Module
uart(senddata,sendenable,dout,dataready,framingerror,parityerror,rxd,txd,stdclk,rdn,rs
t,rst2);
Always@ (posedge clk1x or posedge rst2) // transmission data division
begin
if(rst2)
begin
bitposition<=4’b0000;
txd<=1’b1;
end
else
begin
if(sendenable)
begin
case(bitposition)
4’b0000:
begin
parity<=1’b0;
txd<=1’b1;
bitposition<=bitposition+1;
end
4’b0001:
begin
txd<=1’b1;
bitposition<=bitposition+1;
end
4’b0010:
begin
txd<=1’b1;
Bitposition<=bitposition+1; // send three high level earlier to believe
Number, wait pending data to send;
end
4’b0011:
begin
txd<=1’b0;
Bitposition<=bitposition+1; // low level represents to send data
Start bit;
end
4’b1100:
begin
txd<=parity;
Bitposition<=bitposition+1; // parity check bit
end
4’b1101:
begin
Txd<=1 ' b1; // transmission data finish stop position 1;
bitposition<=4’b0000;
end
default
Bitposition<=bitposition+1; The data that // transmission is 8
txd<=senddata[bitposition-4];
parity<=paritytxd;
end
endcase
end
else
begin
txd<=1’b1;
end
end
end
As shown in Figure 3, microprocessor, the AD sampling controller, DSP I/O queue unit interface circuit is: the 14th of FPGA, 23,62,71 pins connect the 1st respectively, 2,3, the 4th of one end of 4 resistance and 1JTAG interface, 3,2,1 pin, the 1st, 2,3, the other end ground connection of 4 resistance, the 1st of FPGA, 2,7,19,32,42,47,59,72,82,83,84 pin ground connection, the 3rd of FPGA, 13,26,38,43,53,66,78 pins connect power supply, the 75th of FPGA, 77,79 pins connect the 5th respectively, 6, the 2nd of one end of 7 resistance and 2JTAG interface, 4,5 pins, the 5th, another termination power of 6 resistance, the other end ground connection of the 7th resistance, the 1st of 2JTAG interface, 5 pins connect power supply and ground respectively.The 81st pin of FPGA connects an end of the 1st electric capacity and an end of the 8th resistance respectively, another termination power of the 1st electric capacity, and the other end ground connection of the 8th resistance, the 54th pin of FPGA is a data output I/O mouth.
As shown in Figure 4, high speed dynamic weighing previewing system is by high speed bent plate LOAD CELLS, data processing unit, automatic vehicle classifying device, shooting and alarm indication device, and floodlighting and first computing machine composition.
The high-speed weighing sensor is a WPM175 type electromechanical integration bent plate sensor, the same section part in each track is installed two WPM175 side by side, WPM175 does not have mechanical drive disk assembly, MTBF 〉=25000h, the detection speed scope of traffick is 5-200km/h, sensor physical dimension 1750mm * 508mm * 23mm; The detection speed scope of described low speed weighing platform is 0-15km/h, and domestic many enterprises have had the independent intellectual property right product, belongs to the known technology category.
First automatic vehicle classifying device, second automatic vehicle classifying device adopt the multipolymer piezoelectric sensor, parameters such as the number of axle of traffick, wheelbase, tire number, tire distance, car speed, at a distance of 3.5m multipolymer piezoelectric sensors that be arranged in parallel, two long 3.5m, and identification is finished in 45 ° the multipolymer piezoelectric sensor combination of tilting by vertical direction of traffic
Be low-speed highly precise dynamic weighing enforcement system arrangenent diagram as shown in Figure 5.Low-speed highly precise dynamic weighing enforcement system is by weighing platform, data processing unit, automatic vehicle classifying device, shooting and alarm indication device, and right of way signal lamp and second computing machine composition.
Be low-speed highly precise dynamic weighing enforcement system workflow diagram as shown in Figure 6.The suspected vehicles that transfinites sails detection zone into, and piezoelectric sensor reaffirms vehicle, weighing platform to low speed (≤15km/h) vehicle carries out high precision and claims again.Vehicle is overrun and overload not, lets pass immediately; The overrun and overload vehicle then enters the law enforcement program.The wagon flow of detection zone is commanded by signal lamp, and signal lamp is subjected to second computer control.
As shown in Figure 7, the multipolymer piezoelectric sensor that be arranged in parallel by two vertical direction of traffics of long 3.5m, at a distance of 3.5m, and 45 ° the multipolymer piezoelectric sensor of tilting forms, and finishes the vehicle number of axle, wheelbase, tire number, the isoparametric identification of car speed.
As shown in Figure 8, Fig. 8 (1), 8 (2) is respectively a list/twin tires through the signal waveform of piezoelectric sensor output, the data processing unit identification form/two-wheel of being not difficult in view of the above.Because the distance of piezoelectric sensor L1 and L2 is the 3.5m that fixes, and suppose that vehicle tallies with the actual situation as uniform motion in 3.5 scopes, so measure the travel speed that t1 among Fig. 8 just can obtain vehicle; And the number of axle only need be calculated the waveform number and gets final product (single tire); Or the waveform number is divided by 2 (twin tires).With reference to Fig. 7, parallel L1, L2 piezoelectric sensor can be measured the tire distance in conjunction with the piezoelectric sensor L3 of 45 ° of inclinations, and its expression formula is:
N = ctg ( &alpha; ) &times; L &times; &Delta;t T - - - ( 1 )
= 1 &times; 3.5 &times; &Delta;t T
In the formula, α--L 3With L 1(L 2) angle, α gets 45 0
L--L 1With L 2Distance, L gets 3.5m;
(back) axle two tires pass through L before the Δ t-- 3Mistiming;
The front/rear axle of T--passes through L 1, L 2Mistiming;
As shown in Figure 9, vehicle sails the weighing area into, and piezoelectric sensor detects the vehicle through sensor, triggers LOAD CELLS work when obtaining the vehicle coherent signal, and LOAD CELLS is gathered the dynamic weighing signal of tire process; Data processing unit transfers to first computing machine through RS232 commentaries on classics RS422 module by the RS422 interface by the RS232 interface with vehicle parameter and dynamic weighing data (axle weight, car load heavily wait).First computing machine carries out vehicle classification according to the traffic specification of various places, whether differentiates overrun and overload, captures vehicle pictures.Do not transfinite, then let pass; Otherwise control alarm indication screen shows overweight information, and guiding driving against traffic regulations in ultralimit suspected vehicles enters detection zone and confirms.
As shown in figure 10, at the situation that stack low-and high-frequency in the high speed dynamic weighing signal is disturbed, propose to obtain the total solution of vehicle actual weight.Adopt Wavelet Transformation Algorithm to carry out the multilayer wavelet transformation, high frequency interference is wherein forced the zero clearing de-noising, carry out wavelet reconstruction then, obtain dispeling the vehicle weighing signal of high frequency interference.Original signal f (x) among the figure through the wavelet decomposition first time, resolves into high fdrequency component d J-1, kWith low frequency component c J, k-1, the span of two frequency ranges equates that the sample frequency of supposing f (x) is fHz, then high fdrequency component d J-1, kPlace frequency range f~f/2Hz, the component c of low-frequency range J, k-1The place frequency range is 0~f/2Hz.Wavelet decomposition is only to decomposing the low frequency component c that obtains for the first time for the second time J, k-1Decompose high fdrequency component d again J-1, kKeep constant.c J, k-1After the process wavelet decomposition second time, frequency range further is subdivided into two sections c J-2, kAnd d J-2, k, c wherein J-2, kThe place frequency range is 0~f/4Hz, d J-2, kThe place frequency range is f/4~f/2Hz.And the like, in the wavelet decomposition of passing through j time, obtain the wavelet coefficient of j+1 frequency range altogether, be followed successively by c 0, k, d 0, k, d 1, k... d J-2, k, d J-1, kWavelet analysis each time adopts the orthogonal wavelet transformation fast algorithm of following multiresolution analysis, i.e. Mallat algorithm.
To arbitrary signal f (t), according to the female small echo or the basic small echo of yardstick equation and the generation of small echo equation
Figure C200710067150D0014172544QIETU
And ψ (t), obtain scale coefficient and wavelet conversion coefficient c according to formula (2) and (3) J, k, d J, k:
c j , k = < f ( t ) , &phi; j , k ( t ) > = &Integral; - &infin; &infin; f ( t ) &phi; j , k ( t ) d t . - - - ( 2 )
d j , k = < f ( t ) , &psi; j , k ( t ) > = &Integral; - &infin; &infin; f ( t ) &psi; j , k ( t ) d t . - - - ( 3 )
Scaling function φ wherein J, k(t) and wavelet function ψ J, k(t) obtain according to equation (4) and (5) by selected female small echo ψ (t):
φ j,k(t)=2 j/2φ(2 jt-k) (4)
ψ j,k(t)=2 j/2ψ(2 jt-k) (5)
As Figure 11, the 12nd, the genetic algorithm fitting result chart.Adopt genetic algorithm, simulate the parameters such as amplitude, phase place, angular frequency of dynamic load, in reconstruction signal, eliminate low-frequency disturbance.Offset the dynamic restructuring signal that disturbs except low-and high-frequency then and carry out the System Discrimination of ARX model, finally calculate the actual weight of vehicle.
The basic step of genetic algorithm is as follows:
(1) treat the selection problem and carry out binary coding, providing one has N chromosomal initial population POP (1), t:=1;
(2) each the chromosome popi (t) among the POP of colony (t) is calculated its adaptation function
f i=fitness(pop i(t))
Fitness represented should individuality the performance quality.
(3) if stopping rule satisfies, then algorithm stops; Otherwise, calculating probability
p i = f i &Sigma; j = 1 N f j , i=1,2,...,N
And from POP (t), select some chromosomes to constitute populations at random with probability distribution
NewPOP(t+1)={popj(t)|j=1,2,...,N}
(4) by mating, obtaining one has N chromosomal CrossPOP (t)
(5) with a less Probability p, make a chromosomal gene morph, form MutPOP (t+1); T:=t+1, the new POP of colony (t)=MutPOP (t+1); Return (2).
Under the high-speed weighing situation, directly adopt genetic algorithm to carry out dispeling of dynamic load, as shown in figure 11; Under low speed is weighed situation, in order to improve fitting precision, adopting genetic algorithm to carry out dynamic load when dispeling, adopt the thought of piecewise fitting, promptly, separate two sections at two ends, the catastrophe point left and right sides according to the sudden change situation of long course signal, carry out the match of segmentation, as shown in figure 12.

Claims (4)

1. fixed type vehicle dynamic weighting system is characterized in that it comprises camera system, high speed dynamic weighing preliminary examination subsystem, low-speed highly precise weigh law enforcement subsystem, advices plate warning system; The annexation of camera system internal module is: video camera links to each other successively with video distributor, camera system native processor, DVR, video matrix; The weigh annexation of law enforcement subsystem internal module of low-speed highly precise is: second data processing unit links to each other with hyperchannel interface board, interface board, the second vehicle classification device interface board respectively, the hyperchannel interface board links to each other with low speed entry signal lamp with the low speed alarm by RS422, I/O respectively, interface board links to each other with weighing platform, and the second vehicle classification device interface board links to each other with the second lane piezoelectric sensor; The annexation of high speed dynamic weighing preliminary examination subsystem internal module is: first data processing unit links to each other with the first vehicle classification device interface board, the interface board of weighing respectively, the first vehicle classification device interface board links to each other with the first lane piezoelectric sensor, and the interface board of weighing links to each other with high speed bent plate LOAD CELLS; Advices plate warning system internal module comprises: overload warning device center processor and alarm indication device; Video matrix respectively with first computing machine, second computing machine links to each other, first computing machine is respectively through RS422 converter and overload warning device center processor, first data processing unit links to each other, second computing machine links to each other with second data processing unit through the RS232/RS422 converter, the annexation of described first data processing unit and the second data processing unit internal module is: microprocessor respectively with the RS232 serial communication unit, DSP I/O queue unit, AD I/O queue unit, the AD sampling controller links to each other, AD converter respectively with the AD sampling controller, AD I/O queue unit links to each other, the RS232 serial communication unit is changeed the RS422 module through RS232 and is linked to each other with the RS422 interface, and DSP I/O queue unit links to each other with digital signal processor.
2. a kind of fixed type vehicle dynamic weighting system according to claim 1, it is characterized in that described microprocessor, described AD sampling controller, described DSP I/O queue unit is formed by the FPGA configuration, the 14th of described FPGA, 23,62,71 pins connect the 1st respectively, 2,3, the 4th of one end of 4 resistance and 1JTAG interface, 3,2,1 pin, the 1st, 2,3, the other end ground connection of 4 resistance, the 1st of described FPGA, 2,7,19,32,42,47,59,72,82,83,84 pin ground connection, the 3rd of described FPGA, 13,26,38,43,53,66,78 pins connect power supply, the 75th of described FPGA, 77,79 pins connect the 5th respectively, 6, the 2nd of one end of 7 resistance and 2JTAG interface, 4,5 pins, the 5th, another termination power of 6 resistance, the other end ground connection of the 7th resistance, the 1st of 2JTAG interface, 5 pins connect power supply and ground respectively, the 81st pin of described FPGA connects an end of the 1st electric capacity and an end of the 8th resistance respectively, another termination power of the 1st electric capacity, the other end ground connection of the 8th resistance, the 54th pin of described FPGA are data output I/O mouth.
3. a kind of fixed type vehicle dynamic weighting system according to claim 1 is characterized in that described high speed bent plate LOAD CELLS is a WPM175 type electromechanical integration bent plate sensor.
4. a kind of fixed type vehicle dynamic weighting system according to claim 1 is characterized in that described first data processing unit, second data processing unit adopt based on the hard logic door of the FPGA multi-machine collaborative architecture in conjunction with DSP.
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