CN2343635Y - Motor-vehicle type identifier - Google Patents
Motor-vehicle type identifier Download PDFInfo
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- CN2343635Y CN2343635Y CN 98200486 CN98200486U CN2343635Y CN 2343635 Y CN2343635 Y CN 2343635Y CN 98200486 CN98200486 CN 98200486 CN 98200486 U CN98200486 U CN 98200486U CN 2343635 Y CN2343635 Y CN 2343635Y
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Abstract
The utility model relates to a motor-vehicle type identifier, which is composed of a sensor whose output is connected with an interface control circuit whose output is connected with an existing computer, wherein, the interface control circuit is connected with the input terminal of a CPU through a signal processing circuit; an interface wire of the CPU is connected with a data register which is connected with an input-output bus line of a microcomputer; the sensor is an annular inductive coil which is pre-embedded on a highway. The utility model is characterized in that the variation of coil inductance is reflected by the variation of an oscillating circuit converting to frequency; coil frequency values of each moment are described to obtain a frequency curve of a vehicle passing through an annular coil which can be used for detecting and classifying vehicles.
Description
The utility model relates to a kind of motor vehicle model recognition device.
Vehicle classification is very important part in the traffic data investigation, and it is the important evidence of the statistics various types of vehicles magnitude of traffic flow and road toll.Along with maintaining sustained and rapid growth of China's economy, communication flourish, the swift and violent increase of province, interurban expressway net, city high speed, overpass, bridge, tunnel and charge site thereof, vehicle classification more and more comes into one's own, and vehicle identification becomes an important component part of " intelligent transportation ".In order to improve the economic benefit of toll road, reasonably regulate charges work is accomplished conscientiously according to different vehicle charges, and fee collection is implemented effective supervision and management, all needs to add up the statistics of various vehicle identifications and flow.In developed regions for avoiding the manual toll collection mouth to stand in a long queue and traffic jam, and various parkings of setting up and Auto Fare Collection Parking System not, one of them new and high technology is how to make an electronic card that is placed on the car front windshield carry out read-write both-way communication with uphole equipment in high-speed mobile; The technology of another most critical is how to detect actual type of vehicle by expenses standard.
In addition, in road and vehicle management, often to add up, be used for city intersection and highway and automatic observation station etc.,, thereby make a strategic decision for they provide objective service data and historical archives to the magnitude of traffic flow of certain class vehicle.Here also there is a problem of effectively vehicle being classified.
Vehicle classification is to arise at the historic moment for adapting to fast-developing transport need, and each state is all in the research of carrying out this respect.A series of recognition methodss have been formed at present based on infrared ray, radar, ultrasound wave.
1. infrared ray method of identification
Infrared ray is up-and-coming vehicle classification device, and it has active and two kinds of fundamental types of passive type.When vehicle passes through the passive type detecting device, can detect hot object, as the heat radiation infrared ray that automobile motor sends, the infrared ray increment that receives drives sorter to the control system output signal.The active infra-red sorter then carries and points to the infrared light supply of measuring the track, and the vehicle of approaching returns infrared light reflection to detection place.Infrared light has quick and precisely, clear-cut detectability, is convenient to installation and maintenance.Its shortcoming is to be subjected to disturbing effect bigger, and the thermal source that non-on every side vehicle brings tends to cause bigger error in classification.
2. radar method of identification
Radar detector is by Doppler effect (Dopper Effect) principle work, the microwave signal that radar detector sends is reflected by the vehicle of approaching, the electronic installation of detecting device detects the frequency displacement that causes owing to vehicle movement, can produce a vehicle induction output signal.Along with the difference of size, shape and the material of vehicle, the response that obtains is also different, according to the response of various types of vehicles, can identify the type of vehicle.A fatal shortcoming utilizing radar one identification vehicle be when the slow or static vehicle of the speed of a motor vehicle for a long time doppler system can lose efficacy, simultaneously, radar detector is very responsive to the location, when the location can not produce very big deviation on time.
3. ultrasound wave method of identification
The working method of ultrasonic system is similar to radar system, but use is sound wave rather than microwave.Detecting device is installed in the top, track and points to the road surface vertically downward.When a car from detecting device below by the time, the information of returning from reflection wave can identify vehicle to be passed through, and can be according to the longitudinal shape of the time diagram estimating vehicle of close echo, to reach the purpose of classification.Its weak point is that wave beam is very wide, thereby is difficult to accurate control, also may be subjected to the interference of wind in addition.Simultaneously, this system generally is installed in the place that human eye is easily seen, is destroyed easily.
The purpose of this utility model is to provide a kind of motor vehicle model recognition device, it is embedded in the road surface with toroid winding, vehicle is through out-of-date, the variation of winding inductance quantity reflects by the variation that oscillatory circuit converts frequency to, each coil frequency value is constantly described out, can obtain vehicle through toroidal frequency curve, detect vehicle with it, thereby vehicle is classified.
The purpose of this utility model is achieved in that a kind of motor vehicle model recognition device, it is by the output connection interface control circuit of sensor, the output of interface control circuit connects existing computing machine again and forms, wherein interface control circuit is connect the input end of central processor CPU by signal processing circuit, the mouth line of CPU connects data register, and data register connects the input/output bus of microcomputer; Sensor is for being embedded in toroidal inductor on the highway.
Toroidal inductor can be more than one.
Contact pin selected control system unit between the input/output bus of data register and microcomputer.
Signal processing circuit is an oscillatory circuit.
According to the technique scheme analysis as can be known, the utility model is embedded in the road surface with toroid winding, and vehicle forms an induction curve through out-of-date.The vehicle of difformity, different sizes is through same toroidal inductor, and formed induction curve difference is for vehicle classification lays the foundation.Utilize toroid winding as sensor, the reliability height is subjected to external interference little, and economical and practical, have that the sensing means are simple, high reliability, low cost and data processing rationally, accurately, characteristics of real time.
With specific embodiments the utility model is described in further detail in conjunction with the accompanying drawings down.
Fig. 1 is the utility model circuit structure block diagram;
Fig. 2 is one of the utility model circuit theory diagrams;
Fig. 3 is two of the utility model circuit theory diagrams.
The process of vehicle identification finally is an assorting process. Thousands of automobiles to be sorted out, and between these vehicles No matter loading capacity is still big or small, and section does not have clear and definite boundary line each other, and the situation between all kinds of vehicles is approximately continuous, knows Other Pattern Class exists ambiguous border: simultaneously, vehicle identification is Dynamic Recognition often, is real-time, is in vehicle is advanced Carry out, have many disturbing factors that are difficult to suspect under the current intelligence and exist. The control that the utility model utilizes single-chip microcomputer to consist of Circuit adopts Fuzzy Pattern Recognition Method, given full play to loop coil in the vehicle classification system low cost, high-reliability, The simple and convenient advantage that waits uniqueness.
Referring to Fig. 1, the utility model is a kind of motor vehicle model recognition device, and it comprises the toroidal inductor connection control circuit that is embedded on the highway, and the output of control circuit connects existing computing machine again and forms.As sensor, the frequency curve of detected vehicle has comprised the velocity information of vehicle with toroid winding, even same car, the speed difference, the detected information of coil is also incomplete same, and this has brought certain difficulty for identification.When carrying out feature extraction, must consider speed factor, only hold on to vehicle intrinsic feature, just can carry out effective recognition.The height of induction curve is the inherent feature of vehicle, and it only distributes relevantly with the chassis metal construction of vehicle, and does not get in touch with other factors such as speed.Therefore the utility model with the toroidal inductor induction to as if distribute at the automobile chassis metal construction, different cars, the metal construction on its chassis distributes different.
Referring to Fig. 2,3, toroidal inductor is two CN1, CN2 in the present embodiment.The precision that an above toroidal inductor can improve vehicle identification is set, and the vehicle passed through in the certain hour and the detection of flow thereof can be provided.The size of toroidal inductor CN1, CN2 can be 2M * 1.5M (wide * long), when pre-buried, can before and after keep at a certain distance away and be arranged side by side.
Toroidal inductor CN1 of the present utility model and CN2 one termination control circuit input end, other end ground connection, its signal wire is a shielding line.Control circuit is met input end T0, the T1 of central processing unit (CPU) U2 by comparer output U1:A, the U1:B of signal processing circuit, the mouth line P10-P17 of CPU meets the Q0-Q7 of data register U12, U13, U14, and the D0-D7 of data register U12, U13, U14 meets the DD0-DD7 of the input/output bus of microcomputer.Contact pin selected control system cell decoder U15 between the input/output bus PUS of data register U12, U13, U14 and microcomputer.The 1-9 mouth line of U15 meets the bus A1-A9 of microcomputer, 14 meet the reset terminal RST of CPUU2, and 15 mouthfuls of lines of U15 meet the OE of U12, and 16 mouthfuls of lines of U15 meet the OE of U14,17 mouthfuls of lines of U15 meet the OE of U13, and the P30 of CPUU2, P31, P37 meet the CLK of data register U12, U13, U14.
When car passes through toroidal inductor CN1, CN2, the distribution of inductive coil CN1 or CN2 induction automobile chassis metal construction, inductance value on inductive coil CN1 or the CN2 changes and produces vibration, the oscillation frequency of induction is by the comparer shaping and guarantee the Transistor-Transistor Logic level of output signal, input to CPU U2 again, CPUU2 gathers the signal of oscillatory circuit by counter T0, T1, form the correspondent frequency curve behind the inner sequential operation, transfer data to microcomputer by U13, U14, microcomputer shows recognition result or record; When needs pre-set data by microcomputer, then open U12 director data is transferred to CPUU2 by U15.
The computing of vehicle identification is recorded among the CPU.Identifying can be described as:
1, utilizes toroid winding as sensor, detect passing vehicle,, discern vehicle detecting under the prerequisite of effective vehicle.
2, various interference are removed in pre-service.During Dynamic Recognition, can produce some and disturb, these disturb one to be influence from the vehicle of adjacent lane, when the vehicle of adjacent lane during too near toroid winding, also can produce induction, form an irregular frequency curve; Having is exactly influence from surrounding environment again.Pre-service is used for handling these noise jamming signals and irrelevant waveform exactly, will import waveform normalization, changes the uncertainty influence that is produced to eliminate the recognition system duty as far as possible.It is a requisite step of identifying, has only and removes these noise signals effectively, lays a good foundation for next step identification, just may obtain high recognition.
3, from detection curve, extract the characteristic information of vehicle.Extract the information characteristics of vehicle, be that feature extraction is a vital step of vehicle identification, because any identification all is based on the classification of characteristic information, the feature of being extracted must be the objective map of vehicle to be identified, they should possess typicalness, stability and reliability, and such feature could the objective information of vehicles of real reflection.
4, the subordinate function of setting up each proper vector is on the basis of having carried out effective feature extraction, and the success of vehicle identification system will depend on the subordinate function of setting up appropriate each proper vector of description, and describes the fuzzy set of each proper vector with linguistic variable.Choosing of universe of fuzzy sets and determining of the shape of subordinate function all must depend on concrete situation and decide.
5, pattern match.After the subordinate function of proper vector is determined, can calculate the degree of membership of vehicle to be identified to the various types of vehicles in pattern sample storehouse, this process is called pattern match.At last, produce recognition result through categorised decision.
Feature extraction is the key of identification, and any basic identification step all is to extract feature from object to be identified, carries out pattern match with proper vector, obtains recognition result.No matter which kind of recognition methods, feature extraction all is the key link.Feature extraction is the important step of pattern-recognition, is only coupling and classification thereafter, mates the feature extraction that places one's entire reliance upon, so the quality of feature selecting directly influences the result of pattern match.
Feature selecting should be observed following principles:
1, adequacy principle, promptly selected feature wants fully to keep the quantity of information of proterotype;
2, on the basis of satisfying the adequacy principle, reduce the dimension of proper vector as far as possible:
3, convenience principle in other words should be too not complicated for the description of proper vector, and extracting the calculated amount that feature spent can not be too big, especially when Real time identification, because it has influence on the speed of identification.
Different vehicle makes fat or thin the differing of induction curve left and right sides partial shape because the front and rear part metal construction on chassis distributes differently.After waiting to know the degree of membership of vehicle and obtaining, then adopt maximum subjection principle to treat to know vehicle and classify for each pattern sample class.
Claims (4)
1, a kind of motor vehicle model recognition device, it is by the output connection interface control circuit of sensor, the output of interface control circuit connects existing computing machine again and forms, it is characterized in that: described interface control circuit is connect the input end of central processor CPU by signal processing circuit, the mouth line of CPU connects data register, and data register connects the input/output bus of microcomputer; Sensor is for being embedded in toroidal inductor on the highway.
2, motor vehicle model recognition device according to claim 1, it is characterized in that: toroidal inductor can be more than one.
3, motor vehicle model recognition device according to claim 1 is characterized in that: contact pin selected control system unit between the input/output bus of data register and microcomputer.
4, motor vehicle model recognition device according to claim 1 is characterized in that: signal processing circuit is an oscillatory circuit.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 98200486 CN2343635Y (en) | 1998-01-22 | 1998-01-22 | Motor-vehicle type identifier |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 98200486 CN2343635Y (en) | 1998-01-22 | 1998-01-22 | Motor-vehicle type identifier |
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| CN2343635Y true CN2343635Y (en) | 1999-10-13 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN 98200486 Expired - Fee Related CN2343635Y (en) | 1998-01-22 | 1998-01-22 | Motor-vehicle type identifier |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1655208B (en) * | 2004-12-31 | 2010-08-11 | 华南理工大学 | A method for automatic identification of motor vehicle models |
| CN101311982B (en) * | 2007-05-22 | 2012-05-23 | 深圳市哈工大交通电子技术有限公司 | Vehicle classification detection device and vehicle classification detection method |
| CN102982684A (en) * | 2012-11-28 | 2013-03-20 | 深圳市迈科龙影像技术有限公司 | Vehicle model recognition method and system |
| 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 |
| CN103745598A (en) * | 2014-01-09 | 2014-04-23 | 中科联合自动化科技无锡有限公司 | Front face feature-based vehicle type recognition method |
-
1998
- 1998-01-22 CN CN 98200486 patent/CN2343635Y/en not_active Expired - Fee Related
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1655208B (en) * | 2004-12-31 | 2010-08-11 | 华南理工大学 | A method for automatic identification of motor vehicle models |
| CN101311982B (en) * | 2007-05-22 | 2012-05-23 | 深圳市哈工大交通电子技术有限公司 | Vehicle classification detection device and vehicle classification detection method |
| CN102982684A (en) * | 2012-11-28 | 2013-03-20 | 深圳市迈科龙影像技术有限公司 | Vehicle model recognition method and system |
| CN102982684B (en) * | 2012-11-28 | 2015-05-13 | 深圳市迈科龙影像技术有限公司 | Vehicle model recognition method and system |
| 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 |
| CN103745598A (en) * | 2014-01-09 | 2014-04-23 | 中科联合自动化科技无锡有限公司 | Front face feature-based vehicle type recognition method |
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| 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 |