CN101271016A - Dynamic weighing method and weighing system based on velocity compensation - Google Patents
Dynamic weighing method and weighing system based on velocity compensation Download PDFInfo
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- CN101271016A CN101271016A CNA2008100978061A CN200810097806A CN101271016A CN 101271016 A CN101271016 A CN 101271016A CN A2008100978061 A CNA2008100978061 A CN A2008100978061A CN 200810097806 A CN200810097806 A CN 200810097806A CN 101271016 A CN101271016 A CN 101271016A
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Abstract
The invention discloses a dynamic weighing method based on speed compensation and a weighing system, and belongs to the technical field of dynamic weighing. The problem needed to be solved is to provide a dynamic weighing method based on speed compensation and a weighing system, which can realize accurate measurement of the instantaneous speed and the speed changes of a vehicle during the dynamic weighing process, adopt a two-step speed compensation weight method, so as to improve the precision of the dynamic weighing. In the technical proposa, firstly, a speed measuring device is segmented; and then, the average speed for the vehicle to pass every section of a light screen and a first compensation factor K corresponding to the average speed is selected; finally, the weight of the section is calculated: the recorded value of the first compensation is the recorded value of the weight at this time =K*average weight of the section, and the weighting system made by the method; the invention is applicable to all dynamic weighing systems.
Description
Technical field
The present invention is based on the dynamic weighing method and the weighing system thereof of velocity compensation, belong to the Dynamic Weighing Technology field.
Background technology
At present, dynamic weighing system is widely used in the heavy and detection system that transfinites of highway meter, and the common method that dynamic weighing system tests the speed is: calculate the time of wheel by weighing platform, obtain the average velocity of wheel with the width of weighing platform divided by the time.The problem that this method exists is accurately to judge the speed of vehicle by weighing platform, and speed is the extremely important factor that influences dynamic weighing, speed change is crossed car and can be caused gravimetric value great changes will take place, simultaneously, speed improves also can obviously have influence on the weighing value, but can not accurately measure these relevant speed datas at present, simultaneously, speed compensation method can not compensate according to various speed change situations.This has just caused weighing precision can not obtain bigger raising always, and vehicle data can obviously depart from actual value when car or speed change are crossed car excessively at a high speed.
Summary of the invention
The present invention overcomes the defective that prior art exists, a kind of dynamic weighing method and weighing system thereof based on velocity compensation is provided, can realize accurate measuring vehicle instantaneous velocity and velocity variations in the dynamic weighing process, adopt the method for twice velocity compensation gravimetric value, thereby improve the precision of Dynamic Weighting.
In order to address the above problem, the scheme that the present invention adopts is: based on the dynamic weighing method of velocity compensation, the first step obtains a level and smooth time-weight distribution curve to real-time measurement wheel after the gravimetric value of weighing station carries out filtering.In second step, real-Time Compensation is carried out in filtered gravimetric value segmentation obtain the real time record value; In the 3rd step, the real time record value of getting the effective coverage is averaged to the result after the compensation by neural networks compensate; The method of above-mentioned real-Time Compensation is: earlier the measuring light curtain in the speed measuring device is divided into plurality of sections; Then, calculate wheel, select the penalty coefficient K first time of this average velocity correspondence through every section average velocity in the light curtain; At last, calculate this section weight, compensate record value=K * this section weighed average of record value for the first time for weight this moment.
The input value of record value as the velocity compensation second time will be compensated the above-mentioned first time, again according to network weight corresponding in the axle type of automobile and the wheel type choice function connecting-type Neural Network Data storehouse, input value multiply by the corresponding network weights and just obtains one group of weight output valve then, compensates the record value * network weight of record value for the record value=compensation first time of weight this moment for the second time thereby obtain weight.
According to the above-mentioned weighing system of making based on the dynamic weighing method of velocity compensation, mainly comprise: speed measuring device, pressure transducer, weighting display instrument, host computer and printer; Its structure is: pressure transducer links to each other with data collecting card in the weighting display instrument by lead, infrared receiving end in the speed measuring device links to each other with single-chip microcomputer in the weighting display instrument by lead, host computer links to each other with communication interface in the weighting display instrument by lead, and printer links to each other with weighting display instrument; Described speed measuring device is made up of infrared emission end and infrared receiving end that minimum 3 groups of luminotrons constitute; Described weighting display instrument mainly is made up of single-chip microcomputer, data collecting card, data-carrier store, display screen, communication interface, operation keyboard, clock module and reserve battery, its structure is: single-chip microcomputer links to each other with data collecting card, data-carrier store, display screen, communication interface, operation keyboard and clock module by lead, and reserve battery links to each other with clock module by lead.
Single-chip microcomputer in the above-mentioned weighting display instrument also is connected with wireless transmitter module, is provided with data reception module in the remote monitoring chamber.
Be provided with automatic sprinkler respectively at above-mentioned infrared emission end and infrared receiving end.
The present invention is based on the dynamic weighing method of velocity compensation and weighing system thereof compared with prior art, have following beneficial effect:
1, this invention is based on adopting twice velocity compensation gravimetric value in the dynamic weighing method of velocity compensation, by the off-line training network, adopt iterative process that the parameter of compensator is optimized, make the final weight value, make compensator have higher practicality and reliability more near actual value.
2, weighing system of the present invention can accurately measure car speed, and the speed and the velocity variations of each axletree can be stored and show to instrument, determines to provide good technical support for final weight result.
3, the infrared emission end of speed measuring device and infrared receiving end adopt electrooptical device in the weighing system of the present invention, be not subjected to outside electromagnetic interference, have very strong long-time stability, at infrared emission end and infrared receiving end automatic flushing device is installed all, can timing be set by instrument, attend the meeting when timing and to trigger the automatic sprinkler of transmitting terminal and receiving end, can also clean glass surface by the hand switch of opening transmitting terminal and receiving end back, avoided the dust covering and caused measuring inaccurate, reduced because the influence of environment causes the work of equipment undesired, strengthened the reliability of equipment operation.
4, weighting display instrument can read desired data by simple keyboard operation among the present invention, easy to operate, friendly interface, has fault self-diagnosis function simultaneously, when a certain power valve or receiving tube cisco unity malfunction, this error message can be passed to instrument, on instrument, show error message, when the speed of the wheel that passes through weighing platform surpasses 30km/h, on instrument, show hypervelocity information, and send warning.
5, can accurately measure the instantaneous velocity and the velocity variations of each wheel, speed change be crossed car can finely discern, thereby can further improve weighing precision, make speed change cross the car weight value and can not depart from actual value more greatly.
Description of drawings
Below in conjunction with accompanying drawing the present invention is further described:
Fig. 1 is the main flow chart that the present invention is based on the dynamic weighing method of velocity compensation;
The process flow diagram that Fig. 2 handles for Fig. 1 medium velocity;
Fig. 3 is the schematic diagram of neural networks compensate among Fig. 1;
Fig. 4 is the schematic diagram that the function connecting-type Neural Network Data storehouse of dynamic speed compensator among Fig. 3 is set up;
Fig. 5 is that the weights of dynamic speed compensator among Fig. 3 are adjusted process flow diagram;
The structural representation of Fig. 6 weighing system of the present invention;
Fig. 7 is the hardware principle block diagram of weighting display instrument 3 among Fig. 6.
Embodiment
Based on the dynamic weighing method of velocity compensation, the first step obtains a level and smooth time-weight distribution curve to real-time measurement wheel after the gravimetric value of weighing station carries out filtering.In second step, real-Time Compensation is carried out in filtered gravimetric value segmentation obtain the real time record value; In the 3rd step, the real time record value of getting the effective coverage is averaged to the result after the compensation by neural networks compensate; The method of real-Time Compensation is in second step: earlier the measuring light curtain in the speed measuring device is parallel to the weighting platform placement and is divided into plurality of sections; Then, every section average velocity v in the calculating wheel process light curtain
i=s/t
i, select this average velocity v
iThe corresponding penalty coefficient K first time; At last, calculate this section weight, compensate record value=K * this section weighed average of record value for the first time for weight this moment.
Above-mentioned first time, the value and the relation of mean velocity range of penalty coefficient K were as follows:
Table 1 is the penalty coefficient K list of values first time
| Mean velocity range (km/h) | The value of K | Mean velocity range (km/h) | The value of K |
| (0，5] | 1.05 | (15，20] | 1.20 |
| (5，10] | 1.10 | (20，25] | 1.25 |
| (10，15] | 1.15 | (25，30] | 1.30 |
| ＞30 | Invalid |
Weight is compensated the input value of record value as the velocity compensation second time for the first time, again according to network weight corresponding in the axle type of automobile and the wheel type choice function connecting-type Neural Network Data storehouse, input value multiply by corresponding network weight and just obtains one group of weight output valve then, compensates the record value * network weight of record value for the record value=compensation first time of weight this moment for the second time thereby obtain weight.
Fig. 1 is the main flow chart that the present invention is based on the dynamic weighing method of velocity compensation, [beginning] 19 earlier, the time of carrying out, weight data collection, again gravimetric value is carried out [digital filtering] 20, filtered then numeral is carried out [sampled point grouping] 21, enter [by organizing] 22 more respectively according to velocity compensation, be velocity compensation weight record value for the first time, then with its input [neural networks compensate] 23, enter [whether data are reasonable] 24 then, judge,, just directly enter [the averaging] 26 of gravimetric value if rationally; If unreasonable, enter [removal gross error] 25, enter [the averaging] 26 of gravimetric value at last, the output weight value gets final product.
The process flow diagram that Fig. 2 handles for Fig. 1 medium velocity, program [beginning] 27 at first, enter initial setting [m=0 again, n=0] in 28, wherein m represents the hop count that the measuring light curtain in the speed measuring device 1 is divided into, n represents axletree quantity, enters [note is by retaining point ti] 29 then, enters [writing down 1 tj] 30 again, enter [computing time is t at interval] 31 then, enter [speed v=s/ (tj-ti)] 32 again, carry out the calculating of speed, wherein s is the distance of adjacent 2 quilt retaining points, enter then that [current axis is intact excessively? ] 33, judge, intact as if not having, then turn back to [note is by a retaining point ti] 29; If current axis is intact excessively, then enter [current axis speed average p] 34, enter again that [car load is intact excessively? ] 35, if do not have, then turn back to initial setting [m=0, n=0] 28 next axletree computing of relaying reforwarding row, if finish, then enter [car load average velocity V=P * m] 36, enter [demonstration] 37 at last.
Fig. 3 is the schematic diagram of neural networks compensate among Fig. 1, among the figure, u (k) carries out the gravimetric value that obtains after the filtering for measuring in real time wheel through the gravimetric value of weighing station, carry out the compensation first time, value according to table 1, after obtain a result y (k) for compensating for the first time record value=K * this section weighed average, pass through the dynamic speed compensator again, according to searching corresponding network weight in the axle type of automobile and the wheel type choice function connecting-type Neural Network Data storehouse, input value multiply by corresponding weight value and just obtains one group of weight output valve then, is u ' (k).
Fig. 4 is the schematic diagram that the function connecting-type Neural Network Data storehouse of dynamic speed compensator among Fig. 3 is set up, this figure sets up the process of network weight for function connecting-type Neural Network Data storehouse, earlier vehicle is divided into eight types: the single shaft single-wheel by axle type and wheel type, the single shaft two-wheel, the single-wheel of duplex axle, duplex axle list two-wheel, duplex axle two-wheel, three shaft coupling single-wheels, three shaft coupling two-wheels and other type coding, calculate every middle vehicle again and under various specified loads, carry out static weighing, draw this wheel weight U under static state
0(k) be standard value, then, dynamically pass through weighing platform of the present invention, draw velocity compensation weight record value y (k) for the first time, with network training formula in y (k) the substitution function connecting-type neural network:
U ' (k)=w
0Y (k)+w
1(k) y (k-1)+w
2(k) y (k-2)+... + w
n(k) y (k-n)+w
N+1(k) calculate in, obtain its difference equation respectively, can obtain gravimetric value u ' at this moment (k), then with weight U under the static state
0(k) the calculated value u ' that deducts this moment (k) can obtain the deviation e (k) of this moment gravimetric value and standard value, according to this deviate adjustment, Wi (i=0,1,2 ... n), y (k) compensates record value, Z for the first time among the figure
-1, Z
-2Z-n represent u ' (k)=w
0Y (k)+w
1(k) y (k-1)+w
2(k) y (k-2)+... + w
n(k) y (k-n)+w
N+1(k) single order, second order ... the n jump divides equation, U
0(k) be static weight down, then deviation e (k) set up weights and adjust wherein n=0 of formula: Wn (k+1)=Wn (k)+α e (k) y (k+n), 1,2 ... n.Can calculate W
i, W
iI.e. network weight in the function connecting-type neural network for this reason is the coefficient of inversion model.
For example: choose n=4 in the program, be equivalent to design a second order compensator, the network training formula is:
u′(k)＝W
0y(k)+W
1(k)y(k-1)+W
2(k)y(k-2)+W
3(k)y(k-3)+W
4(k)y(k-4)+W
5(k)e(k)＝U
0(k)-u′(k)
Weights are adjusted formula:
W
n(k+1)＝W
n(k)+ae(k)y(k+n)(n＝0，1，2，3，4)
W
5(k+1)＝W(k)+ae(k)
In the formula, a is a control stiffness and the constringent study factor, repeatedly the W that obtains after the training
iBe the coefficient of inversion model, during compensation, initial value will be arranged, get 5 compensation result y (k) of first order output u ' as compensation here earlier (k), k=0,1,2,3,4,5 because of separating the difference equation.Promptly to 5 uncompensations of front, later dynamic compensation type is:
U ' (k)=W
0Y (k)+W
1(k) y (k-1)+W
2(k) y (k-2)+W
3(k) y (k-3)+W
4(k) y (k-4)+W
5(k) (k 〉=5) train behind the network weights like this as fixed coefficient, and all weights are stored with form, carry out computing by lookup table mode, with the gravimetric value that obtains, can remove gross error according to 3 δ criterions then, after being averaged, valid data obtain final gravimetric value.
Fig. 5 is that the weights of dynamic speed compensator among Fig. 3 are adjusted process flow diagram, at first enter [input compensates record value for the first time] 38, [input actual weight] 39 then, the weight of measuring when the actual weight of this moment is static, enter [calculation deviation] 40 then, enter again and [reach requirement? ] 41, if just enter [preservation weights] 43; If do not reach requirement, just enter [adjustment weights] 42, enter [preservation weights] 43 again.
The structural representation of Fig. 6 weighing system of the present invention, weighing system mainly comprises among the figure: speed measuring device 1, pressure transducer 2, weighting display instrument 3, host computer 4 and printer 5; It is characterized in that: pressure transducer 2 links to each other by the data collecting card 8 in lead and the weighting display instrument 3, infrared receiving end 7 in the speed measuring device 1 links to each other with single-chip microcomputer 9 in the weighting display instrument 3 by lead, host computer 4 links to each other by the communication interface 12 in lead and the weighting display instrument 3, and printer 5 links to each other with weighting display instrument 2; Described speed measuring device 1 is made up of infrared emission end 6 and infrared receiving end 7 that 80 groups of luminotrons constitute;
Fig. 7 is the hardware principle block diagram of weighting display instrument 3 among Fig. 6, weighting display instrument 3 is mainly by single-chip microcomputer 9 among the figure, data collecting card 8, data-carrier store 10, display screen 11, communication interface 12, operation keyboard 13, clock module 14 and reserve battery 15 are formed, its structure is: single-chip microcomputer 9 is by lead and data collecting card 8, data-carrier store 10, display screen 11, communication interface 12, operation keyboard 13 links to each other with clock module 14, reserve battery 15 links to each other with clock module 14 by lead, wherein single-chip microcomputer 9 can adopt the ARM chip, its model is Lpc2131, and also can adopt model is the single-chip microcomputer of P89C668HFA.
Single-chip microcomputer 9 in weighting display instrument 3 also is connected with wireless transmitter module 16, is provided with data reception module 17 in the remote monitoring chamber, can realize that like this native system and remote monitoring department realize communication.
Be provided with automatic sprinkler 18 respectively at infrared emission end 6 and infrared receiving end 7, automatic sprinkler 18 is the water pipe of band solenoid electric valve, solenoid electric valve links to each other with timer in the single-chip microcomputer 9, simultaneously also can the manual unlocking water spray switch, and close again after cleaning up and get final product.
Claims (5)
1. based on the dynamic weighing method of velocity compensation, the first step obtains a level and smooth time-weight distribution curve to real-time measurement wheel after the gravimetric value of weighing station carries out filtering.In second step, real-Time Compensation is carried out in filtered gravimetric value segmentation obtain the real time record value; In the 3rd step, the real time record value of getting the effective coverage is averaged to the result after the compensation by neural networks compensate; The method that it is characterized in that real-Time Compensation in second step is: earlier the measuring light curtain in the speed measuring device is divided into plurality of sections; Then, calculate wheel, select the penalty coefficient K first time of this average velocity correspondence through every section average velocity in the light curtain; At last, calculate this section weight, compensate record value=K * this section weighed average of record value for the first time for weight this moment.
2. the dynamic weighing method based on velocity compensation according to claim 1, it is characterized in that: will compensate the input value of record value for the first time as the velocity compensation second time, again according to network weight corresponding in the axle type of automobile and the wheel type choice function connecting-type Neural Network Data storehouse, input value multiply by the corresponding network weights and just obtains one group of weight output valve then, compensates the record value * network weight of record value for the record value=compensation first time of weight this moment for the second time thereby obtain weight.
3. the weighing system of making based on the dynamic weighing method of velocity compensation according to claim 1 and 2 mainly comprises: speed measuring device (1), pressure transducer (2), weighting display instrument (3), host computer (4) and printer (5); It is characterized in that: pressure transducer (2) links to each other by the interior data collecting card (8) of lead and weighting display instrument (3), infrared receiving end (7) in the speed measuring device (1) links to each other by the interior single-chip microcomputer (9) of lead and weighting display instrument (3), host computer (4) links to each other by the interior communication interface (12) of lead and weighting display instrument (3), and printer (5) links to each other with weighting display instrument (2);
Described speed measuring device (1) is made up of infrared emission end (6) and infrared receiving end (7) that minimum 3 groups of luminotrons constitute;
Described weighting display instrument (3) mainly is made up of single-chip microcomputer (9), data collecting card (8), data-carrier store (10), display screen (11), communication interface (12), operation keyboard (13), clock module (14) and reserve battery (15), its structure is: single-chip microcomputer (9) links to each other with data collecting card (8), data-carrier store (10), display screen (11), communication interface (12), operation keyboard (13) and clock module (14) by lead, and reserve battery (15) links to each other with clock module (14) by lead.
4. weighing system according to claim 3 is characterized in that: the single-chip microcomputer (9) in the weighting display instrument (3) also is connected with wireless transmitter module (16), is provided with data reception module (17) in the remote monitoring chamber.
5. according to claim 3 or 4 described weighing systems, it is characterized in that: be provided with automatic sprinkler (18) respectively at infrared emission end (6) and infrared receiving end (7).
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| CNA2008100978061A CN101271016A (en) | 2008-05-15 | 2008-05-15 | Dynamic weighing method and weighing system based on velocity compensation |
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| CNA2008100978061A CN101271016A (en) | 2008-05-15 | 2008-05-15 | Dynamic weighing method and weighing system based on velocity compensation |
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| CN102410866A (en) * | 2011-08-03 | 2012-04-11 | 武汉嘉工科技有限公司 | Vehicle pass weighing system and vehicle weighing method |
| CN102564546A (en) * | 2010-12-14 | 2012-07-11 | 金基太 | Method and system for detecting overload and unlawful measurement of vehicle |
| CN103697981A (en) * | 2013-12-27 | 2014-04-02 | 陕西电器研究所 | Weighing data processing method of siamesed balance with double tables |
| CN103791992A (en) * | 2014-02-25 | 2014-05-14 | 重庆大唐科技股份有限公司 | Device and method for improving axle load precision during dynamic vehicle following |
| CN103835878A (en) * | 2013-04-07 | 2014-06-04 | 南京理工大学 | Maximum power point tracing control method based on neural network optimization starting rotating speed |
| CN107601064A (en) * | 2017-09-19 | 2018-01-19 | 中国计量大学 | Straight weight-loss type material blanking machine and its controller based on neutral net |
| CN107741269A (en) * | 2017-09-19 | 2018-02-27 | 江苏大学 | A kind of weighing sensor test compensation method based on fuzzy diagnosis |
| CN109579967A (en) * | 2018-11-27 | 2019-04-05 | 上海交通大学 | Intelligent Dynamic weighing method and system |
| CN110702194A (en) * | 2019-07-29 | 2020-01-17 | 辽宁维森信息技术股份有限公司 | High-speed weighing controller with automatic compensation function and control method |
| CN110823352A (en) * | 2019-11-21 | 2020-02-21 | 锐马（福建）电气制造有限公司 | Internet of things truck scale compensation system |
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| CN102410866B (en) * | 2011-08-03 | 2014-07-02 | 武汉嘉工科技有限公司 | Vehicle pass weighing system and vehicle weighing method |
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| CN103835878A (en) * | 2013-04-07 | 2014-06-04 | 南京理工大学 | Maximum power point tracing control method based on neural network optimization starting rotating speed |
| CN103697981A (en) * | 2013-12-27 | 2014-04-02 | 陕西电器研究所 | Weighing data processing method of siamesed balance with double tables |
| CN103697981B (en) * | 2013-12-27 | 2016-01-20 | 陕西电器研究所 | The method for processing weighing data of a kind of dual stage face disjunctor scale |
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| CN107741269B (en) * | 2017-09-19 | 2020-08-28 | 江苏大学 | Weighing sensor test compensation method based on fuzzy recognition |
| CN107601064A (en) * | 2017-09-19 | 2018-01-19 | 中国计量大学 | Straight weight-loss type material blanking machine and its controller based on neutral net |
| CN107741269A (en) * | 2017-09-19 | 2018-02-27 | 江苏大学 | A kind of weighing sensor test compensation method based on fuzzy diagnosis |
| CN109579967A (en) * | 2018-11-27 | 2019-04-05 | 上海交通大学 | Intelligent Dynamic weighing method and system |
| CN110702194A (en) * | 2019-07-29 | 2020-01-17 | 辽宁维森信息技术股份有限公司 | High-speed weighing controller with automatic compensation function and control method |
| CN110823351A (en) * | 2019-11-21 | 2020-02-21 | 锐马（福建）电气制造有限公司 | Dynamic compensation method for truck scale |
| CN110823352A (en) * | 2019-11-21 | 2020-02-21 | 锐马（福建）电气制造有限公司 | Internet of things truck scale compensation system |
| CN110823351B (en) * | 2019-11-21 | 2021-04-02 | 锐马（福建）电气制造有限公司 | Dynamic compensation method for truck scale |
| CN110823352B (en) * | 2019-11-21 | 2021-04-02 | 锐马（福建）电气制造有限公司 | Internet of things truck scale compensation system |
| CN112329585A (en) * | 2020-10-29 | 2021-02-05 | 上海舜宇恒平科学仪器有限公司 | Weighing signal switching and filtering processing method for electronic balance |
| CN112329585B (en) * | 2020-10-29 | 2022-08-23 | 上海舜宇恒平科学仪器有限公司 | Weighing signal switching and filtering processing method for electronic balance |
| CN113720428A (en) * | 2021-09-15 | 2021-11-30 | 浙江东鼎电子股份有限公司 | Vehicle speed perception dynamic weighing compensation method based on artificial intelligence and computer vision |
| CN114910151A (en) * | 2022-05-10 | 2022-08-16 | 浙江省计量科学研究院 | Remote fault diagnosis system and method for off-site law enforcement weighing equipment |
| CN114910151B (en) * | 2022-05-10 | 2024-03-22 | 浙江省计量科学研究院 | Remote fault diagnosis system and method for off-site law enforcement weighing equipment |
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