CN1052204A - Automotive type statistical method of automatic recognition and device - Google Patents
Automotive type statistical method of automatic recognition and device Download PDFInfo
- Publication number
- CN1052204A CN1052204A CN 89108862 CN89108862A CN1052204A CN 1052204 A CN1052204 A CN 1052204A CN 89108862 CN89108862 CN 89108862 CN 89108862 A CN89108862 A CN 89108862A CN 1052204 A CN1052204 A CN 1052204A
- Authority
- CN
- China
- Prior art keywords
- wheelspan
- automobile
- value
- vehicle
- data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Landscapes
- Traffic Control Systems (AREA)
- Devices For Checking Fares Or Tickets At Control Points (AREA)
Abstract
The present invention relates to be a kind of to the automobile in advancing automatically with regard to vehicle make discriminated union in advance with the classification and the statistics technology, comprise method and apparatus.The present invention is based on the equilibrium of forces principle, determines the size of measuring girder steel end points support reaction, calculates the fixed sturcture parameter of automobile, thereby reaches the purpose of identification vehicle.Device of the present invention has measuring system, detection circuitry and data handling system.Whole device construction is simple, and volume is little, and is in light weight, and antijamming capability is strong, detects the degree of accuracy height, is easy to commercialization production.Solved traffic administration, urgency problem to be solved has adapted to the requirement that the highway in China transportation develops rapidly in road network planning and the highway tolling system.
Description
The present invention relates to a kind of automotive type in advancing just automatically be made method and the device that discriminated union is classified and added up.
The automatic discriminated union of automotive type is made classification and is added up this technology tool in traffic administration, road network planning and highway tolling system and plays a very important role, and for a long time, it is exactly to need one of key subjects that solve in these fields.Domestic units concerned and Xian Highway Inst. are at middle nineteen seventies, just set about the research work of this respect, achievement in research focuses mostly in utilizing certain sensor measurement diameter of tyres, the tire parameters such as length, motor vehicle length and height that land, and classifies on this basis then and adds up.Abroad have and utilize AVI system and the Japan that vehicle transmits to utilize the ultrasonic measurement overall height and carry out the invention that vehicle is differentiated classification, in recent years, utilize television image to differentiate that the research of vehicle also carries out by active ring measured automobiles chassis feature.Up to now, the automotive type technology during above-mentioned automatic discriminating is travelled, neither can avoiding because the external physical caused by factors is slipped up, so accuracy is not high, generally is lower than 95%.Such accuracy is as general statistics, and planning still can be satisfied the demand reluctantly, but for the expenses standard of vehicle as highway tolling system, need be up to the accuracy more than 99%, then above-mentioned technology and equipment just can not use.For example: come structural parameters this technology of measured automobiles with utilize infrared and reception commonly used both at home and abroad, will produce flase drop because of near other mobile objects of infrared-ray (radiogenic) such as these factors that are difficult in advance estimate such as birds, beast, the thing that wafts that occur atmospheric condition, the infrared sensing apparatus from other.In addition, with above technology energy measurement to automotive structural parameter in, many non-deterministic physical quantitys that belong to are arranged, as diameter of tyres, automobile height or length etc.With this parameter of measured automobiles diameter of tyres is example, just is not difficult to find out deficiency wherein, because the model of wheel tyre, the factors such as magnitude of load that height, tire bore of the degree of wear, inner gas pressure have difference, all can influence measurement result.Therefore,, all fail to overcome above-mentioned technology barrier, reach the automobile in travelling is carried out accurately the purpose of classification automatically although variously be intended to that the technology of automotive type has different, novel original advantages during automatically identification is travelled.We put into practice by long-felt, think the main structure parameters of measured automobiles: discern vehicle as axle for vehicle spacing, these fixing physical quantitys of vehicle front-wheel spacing, can improve the accuracy of identification, reduce various disturbing factors.
In recent years, external automotive type is discerned in the statistical technique automatically, some have also occurred and has utilized the wheelspan of measuring automobile to discern the method and the device of automobile.Japanese kokai publication sho 59-136900 patent for example, the 59-132302 patent, disclose and a kind ofly utilized several set on length meter switches to record several signals, through converting and signal Processing, land area and a kind of piezoelectricity rubber that utilizes of trying to achieve tire are as the conductive material that can experience pressure between conductor in the manograph and the resistance, thereby experience the trampling position that automobile and the resistance of trampling width, and then try to achieve the wheelspan value of automobile.Above-mentioned technology all is technology that the inventor once attempted during 79～82 years, and its shortcoming is as follows:
1, the switch that installs on length meter is made difficulty, and cost height, and the life-span is short, is generally less than 300,000 times if this device is set on highway, is generally used less than two, three months and must be changed, and not only loss is big, and poor accuracy.
2, if adopt the long transducer of survey that piezoelectricity rubber is housed, then can cause wheelspan data and the non-linear relation of resistance value owing to the lack of homogeneity of piezoelectricity rubber, because some present rubber technology index of China does not reach requirement, use and just can cause elasticity to reduce soon, ageing of rubber etc., simultaneously because this long transducer of survey that piezoelectricity rubber is housed often is subjected to the extruding of wheel, make it form a wind chamber, make the dust on the road, gravel sucks surveys long transducer, thereby the measurement sensitivity of piezoelectricity rubber is reduced.
The objective of the invention is to, at the defective in the prior art, designing a kind of external objective environment that is not subjected to influences, be difficult for to produce sampling error, cheap, long service life, wheelspan method of testing and device that measuring accuracy is high.
Vehicle front distance: S=S
1+ S
2+ L=1+(F
1I
1)/(F
1+ F
2)+(F
4I
2)/(F
3+ F
4)
The present invention has distinctive feature aspect the measured automobiles wheelbase, it is not the actual value of measured automobiles wheelbase, but the support reaction F that is measured according to wheelspan detecting device 1
1, F
2, F
3, F
4And another measures the measured value F of wheelbase detecting device 4 of girder steel
5, judge that whether vehicle wheelbase surpasses a certain threshold values, determining the wheelbase of automobile, and try to achieve the number of axle (referring to Fig. 2) of automobile.With the compact car is example: when the dolly front-wheel passes through wheelspan detecting device 1, there is a voltage signal to send, when trailing wheel passes through the wheelspan detecting device, there is a voltage signal to send again, meanwhile, if the wheelbase of compact car is less than Z value (about 3.25M), wheelspan detecting device 4 no signal this moment then, therefore, according to wheelspan this moment, the wheelbase detecting device sends the situation of signal, can judge that it is a compact car, otherwise, if the wheelbase detecting device also sends a voltage signal simultaneously, then can be judged to big, in-between car is again in conjunction with the wheelspan value that has recorded, its recognition accuracy then can improve greatly, in addition, since irrelevant according to this method measured vehicle wheel base and the speed of a motor vehicle, thereby overcome inaccurate this major defect of measurement result that differs and cause owing to car speed.
In research process of the present invention, carried out a large amount of data investigation, discovery can realize automobile is carried out statistic of classification according to wheelspan, the wheelbase numerical value (its distribution plan as shown in Figure 3) of large, medium and small type car, and its scope is to distinguish by following numerical value basically.
Compact car: wheelspan＜1.5M; Wheelbase＜3.25M
In-between car: 1.87M＞wheelspan＞1.5M; Wheelbase＞3.25M
Large car: wheelspan＞1.87M; Wheelbase＞3.25M
Multiaxle trucks: the number of axle＞2
Wheelspan and two groups of parameters of wheelbase according to automobile are discerned the automobile car type, and the method than only discern car type by wheelspan has improved the degree of accuracy of its identification more, can satisfy the requirement of highroad toll collection system for vehicle classification fully.
Now the automotive type that designs according to the foregoing invention design technical solution of discerning statistic device automatically is described below:
This device can be divided into measuring system, detection circuitry and data handling system by its function, the voltage signal that receives by measuring system, after testing Circuits System amplification, analog to digital conversion, be transported to computing machine and handle, and result is delivered to charge station from communication line.
Measuring system is made up of wheelspan detecting device, wheelbase detecting device, vehicle separator.The wheelspan detecting device is to load onto four pressure transducers at four end points measuring girder steel, the wheelbase detecting device is to measure the pressure transducer that girder steel is loaded onto another kind of form at another, when the measurement girder steel is stressed, bridge diagram resistance in the pressure transducer changes, make the electric bridge out of trim, export a voltage signal.The setting of vehicle separator is in order to distinguish towed vehicle or two adjacent cars, to reach identifying purpose by a luminescent system and receiving system respectively are set on the highway both sides.
The schematic block circuit diagram of detection circuitry as shown in Figure 4, several is from the voltage signal of pressure transducer output, amplify through high precision, low drift data amplifier, be input in the analog multichannel switch then, again through A/D converter, with analog signal conversion is digital signal, and the input computing machine carries out data processing.
The selection of enlargement factor is relevant with the requirement of A/D input.What the present invention adopted is the 10V input, and its output figure place can reach 12, and its precision can meet the demands fully.
Data handling system of the present invention realizes that by microcomputer circuit the Computer Organization Principles block scheme as shown in Figure 5.By 8031 type microprocessor Z3, multiway analog switch 9, A/D converter 20, code translator 34, latch 32, bidirectional bus driver 33, address latch 34, memory under program 35, data memory 36, wait and finish whole data handling procedure.In the present invention, computing machine is to be processed to simulate signal 5 the tunnel, if the independent A/D converter of every Lu Douyong, and waste beyond doubt, thereby the present invention adopted a multiway analog switch, with F
1, F
2, F
3, F
4, F
5Send into the A/D converter conversion successively, the result that computing machine will be changed at every turn deposits memory in, further processes.
Send into computing machine by the pulse signal that vehicle separator comes out through photoelectrical coupler, the Che Shiwei high level is arranged, no Che Shiwei low level can differentiate according to its variation whether car is arranged, and is towed vehicle, still two adjacent cars.
As mentioned above, differentiating the needed data of automotive type has become the manageable signal of computing machine, how to make it finally become the parameter of differentiating automotive type, also needs to solve following several problem.
1, because pressure transducer and data amplifier is influenced by temperature and use for a long time, to produce drift unavoidably, although in hardware circuit, taked measure, but the drift phenomenon still is difficult to avoid, and this may bring very important error to measurement result, for eliminate temperature float with the time influence of floating, the present invention has taked first sampling point in addition, deposit data memory in, with automobile by the time sampled value deduct other point value, solved other and put the drift problem.
When 2, passing through the wheelspan detecting device owing to vehicle, have only when measuring the full loading of girder steel, the magnitude of voltage of pressure transducer output could really react the actual loading situation, and voltage V is the function of time T, therefore the sampling of data just must be in its valid value range, for this reason, the present invention is in the data sampling process, according to V value size, adjust sampling density, guarantee certain sampling number, then the effective value in the full loading time is carried out mathematics manipulation, remove interference value, with the value after the secondary treating, calculate wheelspan again.
Below in conjunction with Fig. 7, Fig. 8, again data processing master routine and subroutine-interruption sampling routine are further specified:
Master routine: after start resetted, Automatic Program entered 37, enters 38 then, and counter, timer, memory, communication port are carried out initialization, makes it to be in original state.Program run to 39, whether the separation vessel that checks vehicles has car, if do not have car, program goes to detect each pressure transducer zero point, and it is stored in the appointment memory cell, program run to 40, if vehicle separator has car, then program directly jumps to 41, whether detect vehicle to pass through, be not in waiting status by program then, in this process, interrupt routine be in sampled data always and process that data are handled in (as shown in Figure 8).If vehicle passes through, the wheelspan of a vehicle then, parameter such as wheelbase, the number of axle promptly is detected, and program just entered and declared the car stage this moment, at first program whether judge the number of axle＞2, greater than 2 be multiaxle trucks, whether judge wheelbase greater than Z less than 2, if less than Z then be compact car, if wheelbase, judges then that whether wheelspan is less than B greater than Z
1, judge that then whether wheelspan is greater than B
2If, greater than B
2, be large car then, if less than B
2, then be in-between car, program deposits judged result in the data-storing district after having judged, and return information begins 37, carries out the judgement of next vehicle.
Subroutine-interruption sampling routine (Fig. 8)
After program entered interrupt routine, just sampled data deducted other point with the data that sample, and deposits the result in memory cell.Program judges whether to arrive the rising threshold with the data that collect, if arrive, then judges wheelbase detecting device F
5Arrival rising threshold whether, if do not have, then number of axle counter adds 1, if greater than the rising threshold, judge then whether number of axle counter equals 2, equal 2 put the number of axle equal 2 the sign, so that declare automobile-used, if whether the number of axle greater than 2, then puts multiaxle trucks sign greater than 2, so that declare automobile-used, if be not more than 2, then deposit sampled data in memory, use so that calculate wheelspan, after this program is returned interruption: if the data that collect are less than the rising threshold, whether then judge sampled data less than the decline threshold,, then sampled data is deposited in the data-storing district if be not less than, so that data processing is used, if the data of gathering less than the decline threshold, then finish sampling, and then, program is handled the data that collect, remove some useless data, useful data as the parameter of calculating wheelspan, are calculated wheelspan at last, and deposit the result in the data-storing district, so that declare vehicle usefulness, after program is finished above-mentioned thing, just return and interrupt carrying out next back production sample.
Now that whole description of drawings are as follows:
Fig. 1, wheelspan measuring principle figure
Fig. 2, wheelbase measuring principle figure.
The wheelspan of Fig. 3, large, medium and small type vehicle, wheelbase value distribution plan.
Fig. 4, detection circuitry functional-block diagram
Fig. 5, Computer Organization Principles block scheme
Fig. 6, data sampling valid value range synoptic diagram
Fig. 7, computing machine main program flow synoptic diagram, Fig. 8: subroutine schematic flow sheet
Wherein: 1. wheelspan detecting device 2. wheelbase detecting devices 3. direction of traffics 4. pressure transducer F
5, 5. 7. in-between car distributed areas, tested vehicle 6. compact car distributed areas, 8. large car distributed areas Z. compact cars with in, the wheelbase separatrix of large car value B
1, B
2Wheelspan separatrix 9,10,11,12, wheelspan detecting device pressure transducer 13, wheelbase detecting device pressure transducer 14.15.16.17.18. amplifier 19. multiway analog switch 20.A/D converters 21, vehicle separator 22, position when position 31. doughnuts when 27. wheelspan detection platform, 28. road surfaces, position, 29. direction of traffics, 30. doughnuts when terminal 26. doughnuts are just to the wheelspan detecting device on photoelectrical coupler 23. microprocessor 24. communication interfaces 25. enter the wheelspan detection platform have just left wheelspan detecting device platform;
t
1. beginning sampling time, t
2Finish the sampling time
v
1. the threshold level V that begins to sample
2Finish the threshold level of sampling
Is there car not 37. begin 38. initialization 39.? put 41. vehicles in addition by denying 40. detect? 42. the number of axle＞2? 43. multiaxle trucks 44. wheelbases greater than Z 45. compact cars 46. wheelspans greater than B
147. wheelspan is greater than B
248. large car, in-between car 49. judged results deposit storage area 50. sampling 51. in and deduct and put 52. data＞rising threshold 53. data＜decline threshold 54.F in addition
5Do＞rising threshold 55. number of axle counters add 1 56. data processing, 57. number of axle=2? calculate wheelspan 60. number of axle＞2 58. put the number of axle=2 signs 59? 61. putting multiaxle trucks sign 62. results deposits memory 63. sampled datas in and deposits memory 64. in and return interruption.
Method of the present invention compared with the prior art, it is simple to have principle, the degree of accuracy of test, accuracy height, and because the wheelspan value is the relative ratio of each support reaction measured value, therefore, get rid of the interference of various environmental factors, driving factor, apparatus factor, had novelty, original advantage. Device volume of the present invention is little, in light weight, the equipment antijamming capability is strong, the testing precision height, whole device construction is simple, the various elements of detection circuitry and data handling system device all have standard merchandise spare, thereby make simply commercialization production degree height, cost is relatively cheap, is easy to promote the use of very soon at each freeway toll station of China.
Appearance of the present invention has solved in recent years problem anxious to be resolved in traffic administration, road network planning and the highway tolling system, adapts to the needs that the highway in China communications and transportation develops rapidly.
Claims (4)
1, a kind of statistical method of automatic recognition of automotive type comes the automotive type in travelling is classified and added up by the wheelspan that calculates automobile, it is characterized in that:
(1) utilize load sensor to measure the end points support reaction F that under wheel load, passes through when measuring girder steel
1, F
2, F
3, F
4
(2) according to the relative value of equilibrium of forces principle and the end points support reaction that records,, try to achieve the wheelspan value of automobile through the Computer Processing of electric signal and digital signal;
(3) according to the support reaction value F that has recorded
1, F
2, F
3, F
4And another measures the support reaction value F that the girder steel sensor records
5, judge whether vehicle wheelbase surpasses a certain threshold values, thereby determine the wheelbase value scope of automobile;
(4) utilize the automobile wheel track of having tried to achieve, two groups of data of wheelbase are come further to vehicle classification.
2, according to the automatic identification of a kind of automotive type described in the claim 1, statistical method, with the relative value of the end points support reaction that records, Computer Processing through electric signal and digital signal, try to achieve the wheelspan value of automobile, it is characterized in that: computing machine is first other point of sampling when no car passes through, and deposit data memory in, when having automobile to pass through, again the data of gathering are deducted other point, to eliminate other some drifts.
3, according to the automatic identification of a kind of automotive type described in the claim 1, statistical method is with the relative value of the end points support reaction that records, Computer Processing through electric signal and digital signal, try to achieve the wheelspan value of automobile, it is characterized in that: computing machine by speed, is adjusted sampling density according to vehicle, guarantee certain sampling number, with the efficiently sampling value in the full loading time, carry out data processing then, filter interference, carry out secondary treating, calculate wheelspan at last.
4, a kind ofly discern automatically according to the automotive type described in the claim 1, statistical method and the automatic identification statistic device that designs has measuring system, detection circuitry and data handling system is characterized in that:
(1) measuring system is made up of wheelspan detecting device, pressure transducer, measurement girder steel and vehicle separator;
(2) testing circuit voltage signal that several is exported from the bridge diagram of pressure transducer amplifies through data amplifier, the input analog multichannel switch, and again through A/D converter, input data processing system; The signal that sends by vehicle separator, behind photoelectrical coupler, direct input data processing system.
(3) data processing realizes by computer circuits.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 89108862 CN1020357C (en) | 1989-11-25 | 1989-11-25 | Method and apparatus for automatic recognition and accounting of car models |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 89108862 CN1020357C (en) | 1989-11-25 | 1989-11-25 | Method and apparatus for automatic recognition and accounting of car models |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN1052204A true CN1052204A (en) | 1991-06-12 |
| CN1020357C CN1020357C (en) | 1993-04-21 |
Family
ID=4857777
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN 89108862 Expired - Fee Related CN1020357C (en) | 1989-11-25 | 1989-11-25 | Method and apparatus for automatic recognition and accounting of car models |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN1020357C (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102096953A (en) * | 2010-12-31 | 2011-06-15 | 江苏省交通科学研究院股份有限公司 | Dynamic balance weighing-based toll vehicle type classifying method and device used by same |
| CN103794056A (en) * | 2014-03-06 | 2014-05-14 | 北京卓视智通科技有限责任公司 | Vehicle type accurate classification system and method based on real-time double-line video stream |
| CN108198426A (en) * | 2018-01-30 | 2018-06-22 | 河南郑大嘉源环保技术有限公司 | A kind of motor vehicle in tunnel experiment vehicle automatic identifying method and its system |
| CN114822029A (en) * | 2022-04-26 | 2022-07-29 | 广州大学 | Bridge deck traffic flow load space-time distribution reconstruction method, system and device |
-
1989
- 1989-11-25 CN CN 89108862 patent/CN1020357C/en not_active Expired - Fee Related
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102096953A (en) * | 2010-12-31 | 2011-06-15 | 江苏省交通科学研究院股份有限公司 | Dynamic balance weighing-based toll vehicle type classifying method and device used by same |
| CN103794056A (en) * | 2014-03-06 | 2014-05-14 | 北京卓视智通科技有限责任公司 | Vehicle type accurate classification system and method based on real-time double-line video stream |
| CN103794056B (en) * | 2014-03-06 | 2015-09-30 | 北京卓视智通科技有限责任公司 | Based on the vehicle precise classification system and method for real-time two-way video stream |
| CN108198426A (en) * | 2018-01-30 | 2018-06-22 | 河南郑大嘉源环保技术有限公司 | A kind of motor vehicle in tunnel experiment vehicle automatic identifying method and its system |
| CN114822029A (en) * | 2022-04-26 | 2022-07-29 | 广州大学 | Bridge deck traffic flow load space-time distribution reconstruction method, system and device |
| CN114822029B (en) * | 2022-04-26 | 2023-04-07 | 广州大学 | Bridge deck traffic flow load space-time distribution reconstruction method, system and device |
Also Published As
| Publication number | Publication date |
|---|---|
| CN1020357C (en) | 1993-04-21 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN100533073C (en) | Dynamic weighting system and method for vehicle | |
| CN102063795B (en) | System, method and device for acquiring information of intensive traffic flow | |
| CN101271015B (en) | Dynamic vehicle weighing method and system | |
| US3748443A (en) | Wheel sensing apparatus | |
| CN203225009U (en) | Laser type traffic condition investigation system | |
| CN201936359U (en) | Automatic motorcycle type identification system special for card dispenser at expressway entrance | |
| CN102592449B (en) | Off-site enforcement system for overloaded vehicle | |
| CN105675102A (en) | Method for improving precision of quartz type dynamic automobile scale | |
| CN2777516Y (en) | Two table top detector for weight metering charging and over limit of highway vehicle | |
| CN112528208A (en) | Weighing-free AI intelligent recognition truck overload estimation method, device and system | |
| CN1020357C (en) | Method and apparatus for automatic recognition and accounting of car models | |
| CN106638242B (en) | A kind of flatness detecting device and method adapting to low speed and speed change measurement | |
| CN105841785A (en) | Vehicle type dynamic road vehicle automatic weighing apparatus | |
| CN113886374A (en) | Method for calculating vehicle cargo mileage based on GPS data and vehicle waybill | |
| CN107978174B (en) | Parking lot state monitoring device and method based on collaborative environment perception | |
| JP7424945B2 (en) | Failure detection device, toll collection system, failure detection method, and program | |
| CN113624313A (en) | Dynamic weighing method, equipment, system and storage medium for parallel vehicles | |
| CN201927176U (en) | Dense traffic flow information collection system | |
| CN1072355C (en) | Method and device for detecting vehicle wheel base difference | |
| CN103162777A (en) | Automatic automobile following weighing processing method suitable for finished automobile weighing test equipment | |
| CN1159039A (en) | Laser vehicle type recognition system and method thereof | |
| CN212084370U (en) | Lane-dividing type traffic data acquisition device | |
| CN206726450U (en) | A kind of horizontal installation type motor vehicle length, speed and acceleration detecting | |
| CN2246828Y (en) | Automatic detector for vehicles | |
| JPH09204546A (en) | Vehicle type discrimination method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C06 | Publication | ||
| PB01 | Publication | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| C19 | Lapse of patent right due to non-payment of the annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |