CN201392591Y - Portable automatic vehicle type sorting device - Google Patents
Portable automatic vehicle type sorting device Download PDFInfo
- Publication number
- CN201392591Y CN201392591Y CN200820201696U CN200820201696U CN201392591Y CN 201392591 Y CN201392591 Y CN 201392591Y CN 200820201696 U CN200820201696 U CN 200820201696U CN 200820201696 U CN200820201696 U CN 200820201696U CN 201392591 Y CN201392591 Y CN 201392591Y
- Authority
- CN
- China
- Prior art keywords
- circuit
- coil
- utility
- vehicle apparatus
- model
- 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.)
- Expired - Fee Related
Links
Images
Landscapes
- Traffic Control Systems (AREA)
Abstract
The utility model provides a portable automatic vehicle type sorting device which comprises a detecting device and an identification device, wherein the detecting device comprises an LC oscillation circuit and a magnetic coil; the magnetic coil is connected with the LC oscillation circuit; and the identification device is connected with the LC oscillation circuit. The coil adopted by the utility model is wound by enamelled copper wires, and the whole body of the coil is arranged in a rubber block, so the utility model has the characteristics of high temperature resistance and difficult deformation. A coil detector has high stability and high reliability. A data processing algorithm is efficient and intelligentized.
Description
Technical field
The utility model relates to transport information control and digital signal processing technique field, specifically is meant a kind of traffic pick-up unit and disposal system to be become one, and realizes the device that removable vehicle detects.
Background technology
Traffic data collection is the basic work of serving traffic programme, design, maintenance and management.It is the important component part of carrying out traffic data collection that automatic vehicle classification detects.In fields such as traffic control, parking fee collective system, expressway tol lcollection, road and bridge monitoring, traffic guidances, it also is unusual important problem that vehicle is classified automatically." the highway communication condition survey system of statistical report " issued in 2005 according to Ministry of Communications, when highway and common road are carried out traffic study, motor vehicle should be divided into following 10 classes: jubilee wagon, medium truck, high capacity waggon, super-huge lorry, station wagon, motorbus, towed vehicle, container car, tractor, motorcycle.Relevant automatic vehicle classification Study on Technology, many colleges and universities and enterprise are all carrying out.
According to the electromagnetic theory of classics as can be known: when metal object during by coil, the inductance value of coil can change, and then the frequency of LC oscillatory circuit also can change.Sample with certain sample frequency, the frequency departure value (departing from reference value) of sampling instant is depicted, the frequency variation curve that produces in the time of can obtaining vehicle through coil.The frequency variation curve quite stable that same car produces during through same coil checker with same speed, same class car are during through same coil checker, and some characteristic parameter is stable; And therefore different types of motor vehicle can produce different frequency variation curves because the difference of size, structure, material is also different to the influence that coil checker produces, and this is to carry out the vehicle base of recognition; DSP discerns vehicle according to specific recognition methods after obtaining the frequency variation curve of LC oscillatory circuit generation again.
In the middle of existing product and the document, more advanced technology utilizes coil checker to carry out automatic vehicle classification, need excavated pavement to bury coil underground, detect the information parameter of vehicle by pick-up unit, again information parameter is sent to disposal system, go out the vehicle of motor vehicle by disposal system according to detected information Recognition, and pick-up unit and disposal system is integrated and movably the ground induction coil detecting device also do not have.Pick-up unit and disposal system are separately, carry out information processing with common computer, increased cost, bury coil underground at road, destroy the road surface, take time and effort more, and can not move, can only detect some specified point, lack dirigibility and ageing, so be badly in need of improving at the deficiency of existing automatic vehicle classifying device.
The utility model content
The purpose of this utility model is to overcome the deficiencies in the prior art, and it is one that a kind of collection pick-up unit and disposal system are provided, movably portable automatic vehicle classifying device.
The technical solution adopted in the utility model is as follows:
A kind of portable vehicle apparatus for automatically sorting comprises pick-up unit and recognition device, and described pick-up unit comprises LC oscillatory circuit and the solenoid that is connected with the LC oscillatory circuit, and described recognition device is connected with the LC oscillatory circuit.
Described recognition device is provided with the memory device of storage vehicle information.
Described memory device is provided with the manually-operated interface.
Described recognition device adopts digital signal processing appts DSP.
The utility model also includes parameter interface circuit, LCDs interface circuit, impulse output circuit is set, and described parameter is provided with interface circuit, LCDs interface circuit, impulse output circuit and is connected with DSP respectively.
Described solenoid is placed in the block rubber.
Pick-up unit of the present utility model adopts two covers to be placed on the interior solenoid of block rubber, and described two cover solenoids are connected with the LC oscillatory circuit respectively.
Coil that the utility model adopted adopts the enamel covered wire coiling to form, and coil integral body is placed in the block rubber, therefore have high temperature resistant, do not allow yielding characteristics; Coil checker is stable, reliability is high; Data processing algorithm is efficient, intelligent, so system has very big actual promotional value.
Description of drawings
Fig. 1 is a hardware configuration synoptic diagram of the present utility model;
Fig. 2 is automatic vehicle classification testing process figure of the present utility model;
Fig. 3 is the structured flowchart of parameter configuration of the present utility model;
Fig. 4 is a LC oscillatory circuit schematic diagram of the present utility model;
Fig. 5 is provided with the interface circuit schematic diagram for parameter of the present utility model;
Fig. 6 is a LCDs interface circuit schematic diagram of the present utility model;
Fig. 7 is an impulse output circuit schematic diagram of the present utility model.
Embodiment
Below in conjunction with accompanying drawing the utility model is described further.
Hardware configuration synoptic diagram of the present utility model as shown in Figure 1, main processing terminal is DSP, solenoid inserts on the LC oscillatory circuit by feeder line, and LC oscillatory circuit, parameter are provided with interface circuit, LCDs interface circuit, impulse output circuit and are connected with DSP respectively.
Automatic vehicle classification testing process figure of the present utility model as shown in Figure 2, by on highway, placing two block rubbers of certain intervals, be placed with solenoid in the block rubber, these two solenoids are sent to the parameter of the electromagnetic frequency off-set value that motor vehicle produced that crosses from above among the DSP, DSP filters to the received signal, make signal parameter meet the requirements of scope, then satisfactory signal parameter is extracted characteristic parameter, the characteristic parameter that extracts comprises crest value, the crest number, the moment and the ripple ratio of the finish time that crest occurs, the speed of a motor vehicle, again the characteristic parameter and the information parameter storehouse of extracting contrasted, relatively similarity identifies vehicle according to " highway communication condition survey system of statistical report " desired vehicle standard then.
The structured flowchart of the utility model parameter configuration as shown in Figure 3 can be by machine learning, manually set the configuration result that two kinds of parallel methods obtain characteristic parameter, and this device carries out vehicle classification to 2200 samples altogether.
LC oscillatory circuit schematic diagram as shown in Figure 4, by inductance T1, T2; Capacitor C 5, C6, C7, C8; Resistance R 1, R2, R3, R4, R7, R8, R9, R10, R11, R12, R13, R14 and triode Q1, Q2, Q3, Q4 form LOOP1 and LOOP2, LOOP3 and LOOP4 port among the outside inductive coil two termination circuit figure.In the LC oscillatory circuit, add self-bias on the one hand, bias voltage strengthens in reaching the process of sustained vibration, thereby make transistor produce non-linear action and come the restriction set electrode current, the oscillatory circuit that L, C form is set on feedback circuit on the other hand, make it and the tuning generation sine voltage of the first-harmonic of output current, its part is feedbacked, take out as output simultaneously.Because mutual inductance effect, when vehicle passes through the coil checker top, the variation of coil oscillation frequency makes the oscillation frequency of LC oscillatory circuit also change thereupon, the sinusoidal signal that produces is outputed to the 117th pin and 72 pin of DSP respectively by triode Q3, Q4, with network label FINA, FINB inserts DSP among the figure.
Parameter is provided with the interface circuit schematic diagram as shown in Figure 5, form by toggle switch, pull-up resistor row, the parameter signalization is connected with the 92nd (GPIOA0), 93 (GPIOA1), 94 (GPIOA2), 95 (GPIOA3), 98 (GPIOA4), 101 (GPIOA5), 102 (GPIOA6), 104 (GPIOA7) pin of DSP respectively, use network label K1 among the figure respectively, K2, K3, K4, K5, K6, K7, K8 represents, and be connected to the corresponding pin of DSP, and reading in signalization from the DSP pin, DSP handles accordingly according to setting.The electric capacity that the network label P1 of Fig. 5 and Fig. 4 and P2 insert by the switch adjustment, thus the reference frequency that LC vibrates is set, improve accuracy of detection.Parameter is provided with the various parameters that selection that interface dials key SWG by switch is provided with the vehicle classification detecting device: induction precision, susceptibility, output mode, delay parameter etc.
LCDs interface circuit schematic diagram mainly is made up of TMS320F2812 chip, QPYD-03 LCD controller as shown in Figure 6.Connect the interface chip of QPYD-03 after the data line process TMS320F2812 level conversion of DSP.The output port of QPYD-03 is connected with LCDs.
Dsp chip has 16 data lines, 19 address wires.Only with it least-significant byte data line, 2 bit address lines and read and write control end.Address wire A15 realizes the sheet choosing to QPYD-03.Because chip selection signal is that low level is effective, so will connect by a not gate.Address wire A14 is responsible for the selection of order register and data register.Work as A14=0, the selection instruction register; A14=1 selects data register.WR, RD are corresponding to link to each other.The least-significant byte data line of DSP is responsible for and will be delivered on the data line of controller after steering order and the video data process TMS320F2812 level conversion.
Impulse output circuit is made up of triode Q5, Q6, Q7, Q8 and relay R ELAYC1, RELAYC2 as shown in Figure 7.Signal derives from the 49th, 50 pin (GPIOB4, GPIOB5 pin) of DSP, from Q5, and the output of the base stage of Q6, Q5, Q6 base stage pin directly link to each other with GPIOB4, the GPIOB5 pin of DSP, are output as RELAYO1, RELAYO2 by relay.Impulse output circuit is isolated by relay R ELAYC1 and RELAYC2, the pulse signal that on behalf of vehicle, output whether pass through.
Principle of work of the present utility model is:
By pick-up unit vehicle is sent among the DSP through the frequency variation curve that out-of-date LC oscillatory circuit produces, and adopts following method to carry out automatic vehicle classification:
Carry out sample collection earlier, carry out parameter configuration then, promptly determine the span of each sorting parameter of each class car.During parameter configuration, the one, artificial setting, the one, utilize the algorithm of BP neural network to learn voluntarily by machine.
Again sample is classified, set up the waveform library of all kinds of motor vehicle correspondences;
Carry out feature extraction then, from waveform library, extract 3 mandatory parameters, be respectively crest value, crest number, crest and go out the ratio of now and ripple finish time, from popin average, speed, these 3 optional parameter of vehicle commander, choose several parameters as required arbitrarily again.Mandatory parameter, optional parameter have been formed the vehicle classification parameter jointly.
At last with the waveform library of the detected frequency variation curve of pick-up unit contrast various types of vehicles correspondence, the highest type of vehicle of wave-form similarity is as detected type of vehicle, and then draws recognition result.
Claims (7)
1, a kind of portable vehicle apparatus for automatically sorting is characterized in that comprising pick-up unit and recognition device, and described pick-up unit comprises LC oscillatory circuit and the solenoid that is connected with the LC oscillatory circuit, and described recognition device is connected with the LC oscillatory circuit.
2, portable vehicle apparatus for automatically sorting according to claim 1 is characterized in that described recognition device is provided with the memory device of storage vehicle information.
3, portable vehicle apparatus for automatically sorting according to claim 2 is characterized in that described memory device is provided with the manually-operated interface.
4,, it is characterized in that described recognition device adopts digital signal processing appts DSP according to claim 2 or 3 described portable vehicle apparatus for automatically sorting.
5, portable vehicle apparatus for automatically sorting according to claim 4, it is characterized in that also including parameter interface circuit, impulse output circuit, LCDs interface circuit are set, described parameter is provided with interface circuit, LCDs interface circuit, impulse output circuit and is connected with DSP respectively.
6, portable vehicle apparatus for automatically sorting according to claim 1 is characterized in that described solenoid is placed in the block rubber.
7, portable vehicle apparatus for automatically sorting according to claim 6 is characterized in that pick-up unit adopts two covers to be placed on the interior solenoid of block rubber, and described two cover solenoids are connected with the LC oscillatory circuit respectively.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN200820201696U CN201392591Y (en) | 2008-10-10 | 2008-10-10 | Portable automatic vehicle type sorting device |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN200820201696U CN201392591Y (en) | 2008-10-10 | 2008-10-10 | Portable automatic vehicle type sorting device |
Publications (1)
Publication Number | Publication Date |
---|---|
CN201392591Y true CN201392591Y (en) | 2010-01-27 |
Family
ID=41599413
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN200820201696U Expired - Fee Related CN201392591Y (en) | 2008-10-10 | 2008-10-10 | Portable automatic vehicle type sorting device |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN201392591Y (en) |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103440769A (en) * | 2013-08-11 | 2013-12-11 | 中国计量学院 | Method for achieving vehicle type recognition with geomagnetic curve information extracted by integrals |
CN104169988A (en) * | 2012-03-13 | 2014-11-26 | 西门子公司 | Apparatus and method for detecting a parking space |
CN105447915A (en) * | 2015-11-06 | 2016-03-30 | 浙江宇视科技有限公司 | Vehicle access management method, apparatus, device and system |
-
2008
- 2008-10-10 CN CN200820201696U patent/CN201392591Y/en not_active Expired - Fee Related
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104169988A (en) * | 2012-03-13 | 2014-11-26 | 西门子公司 | Apparatus and method for detecting a parking space |
CN103440769A (en) * | 2013-08-11 | 2013-12-11 | 中国计量学院 | Method for achieving vehicle type recognition with geomagnetic curve information extracted by integrals |
CN103440769B (en) * | 2013-08-11 | 2015-05-20 | 中国计量学院 | Method for achieving vehicle type recognition with geomagnetic curve information extracted by integrals |
CN105447915A (en) * | 2015-11-06 | 2016-03-30 | 浙江宇视科技有限公司 | Vehicle access management method, apparatus, device and system |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Kaewkamnerd et al. | Vehicle classification based on magnetic sensor signal | |
CN102779281B (en) | Vehicle type identification method based on support vector machine and used for earth inductor | |
Ali et al. | A multiple inductive loop vehicle detection system for heterogeneous and lane-less traffic | |
CN105096611A (en) | Road vehicle detection system and method | |
CN201392591Y (en) | Portable automatic vehicle type sorting device | |
CN102708694A (en) | Automatic motorcycle type identification system and method based on high-speed pulse laser scanning | |
CN105678344A (en) | Intelligent classification method for power instrument equipment | |
CN102779413B (en) | Motor vehicle characteristics data acquisition analyzer and analyzing method | |
CN104200670B (en) | A kind of vehicle model recognizing method based on vehicle earth induction feature | |
CN103646553A (en) | Investigation system for road traffic flow and realization method thereof | |
CN203259633U (en) | Automatic testing apparatus for voltage of battery core | |
CN109325409B (en) | Passing vehicle fake plate inspection platform | |
US20030163263A1 (en) | Method and device for classifying vehicles | |
CN203520632U (en) | Traffic investigation and interval velocity measurement device based on ultrahigh radio frequency identification (RFID) technology | |
CN104299443A (en) | Parking lot vehicle positioning system and method based on low frequency active radio frequency identification technology | |
CN203165036U (en) | Vehicle model automatic identification device based on laser radar | |
CN203259662U (en) | Device for detecting whether inserting pins of automobile electrical and electronic connector are installed or not | |
CN101661669A (en) | Road vehicle type identification method and system thereof | |
CN1655208B (en) | Automatic recognition method for motor vehicle model | |
CN202793421U (en) | Signal processing device for passive wheel sensor | |
CN111222651A (en) | Scrap automobile metal classification device and method based on electromagnetic sensor | |
CN105678257A (en) | Vehicle type identification method for traffic investigation, and device and system thereof | |
CN101311982A (en) | Vehicle assorted check detection device and method | |
CN102982684A (en) | Vehicle model recognition method and system | |
CN202677617U (en) | Motor vehicle characteristic data acquisition analyzer |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C14 | Grant of patent or utility model | ||
GR01 | Patent grant | ||
CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20100127 Termination date: 20141010 |
|
EXPY | Termination of patent right or utility model |