CN1670490A - Automobile overload automatic identification method - Google Patents
Automobile overload automatic identification method Download PDFInfo
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- CN1670490A CN1670490A CN 200510025067 CN200510025067A CN1670490A CN 1670490 A CN1670490 A CN 1670490A CN 200510025067 CN200510025067 CN 200510025067 CN 200510025067 A CN200510025067 A CN 200510025067A CN 1670490 A CN1670490 A CN 1670490A
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Abstract
This invention relates to automobile overload identification of road operation and traffic safety monitor method, which comprises the following steps: first, judging automobile type through cameral head; automobile load measurement output through pressure sensor signal via data collection card to PC machine; getting the axis load quality through computation by the function relationship between axis load quality and the pressure; detecting the automobile type results according to automobile load; conveniently accomplishing the automobile identification on the PC computation platform by induction; outputting the results about the pass or not information and the overload information.
Description
Technical field
What the present invention relates to is a kind of method that is used for the vehicle testing technique field, particularly a kind of automobile overload automatic identification method.
Background technology
Quite serious in China's truck overload and illegal repacking loading phenomenon, cause most highways and bridge to be in the overburden running status for a long time, not only have a strong impact on the serviceable life of highway and bridge, but also cause the frequent accidents in the vehicle ' process to take place, particularly some highway can't bear the heavy load especially, very dangerous.Will thoroughly avoid and prevent the generation and the existence of this type of phenomenon, outside-the-system except strengthening improving the traffic legal construction and setting up scientific management, more crucial is also to have the modern technological means of a cover to be assisted solution.
Find by literature search, Zhang Youliang, Yuan Mingxin, Chu Hao: based on the automobile overload identification (auto technology 2002.6) of neural network, two load-bearing plates are installed in employing on the road surface, expressway access, impact to the load-bearing plate when automobile passes through this road surface under certain speed is exported two signals by two sensors, import computing machine after amplification of signal process and the analog to digital conversion, two signals carry out feature extraction and form one 8 dimensional feature vector, utilize under certain speed of a motor vehicle the funtcional relationship between the characteristic parameter and axle load to adopt neural network algorithm to calculate again and obtain the automobile axle load, at last axle load and the maximum axle load that allows of tested automobile regulation are compared, thus the identification whether acquisition overloads to tested automobile.The total system design has certain feasibility, but the defective of this system's maximum is: 1, when manual input " regulation axle load " value, can only rely on managerial personnel's distinguishing to the tested vehicle profile, there is higher probability of miscarriage of justice, and for reequiping the phenomenon that vehicle more can occur feeling simply helpless.2, " regulation axle load " value is imported by hand by managerial personnel, does not reach the automatization level of automobile overload identification.
Summary of the invention
The objective of the invention is to deficiency, propose a kind of automobile overload automatic identification method at existing automobile overload recognition technology existence.Make it have higher reliability, operation stability and automatization level, therefore have stronger practicality.
The present invention is achieved by the following technical solutions, and the present invention differentiates vehicle by camera, and carload detects by pressure sensor signal and exports through data collecting card to PC, according to the funtcional relationship calculating acquisition axle load of axle load and pressure; According to the result of carload detection with the identification of car category specification, on the PC calculate platform, can calculate the actual loading amount, overload capacity, the unit length of wagon quality that obtain tested automobile with reasoning very easily, finally finish automobile overload identification, export whether tested automobile overloads and whether current road allows the conclusion of passing through.
Concrete steps of the present invention are as follows:
(1) be mutually the position of the angle of cut at former and later two of road channel inlet, by two CCD cameras to realize from of the collection of two visual angles of vehicle head and the tail to tested car conour image;
(2) image information is carried out Flame Image Process and the double image composition algorithm carries out 3-D view reconstruct to tested automobile through image pick-up card to PC;
(3) by with the standard vehicle shape library in the comparison of car conour image, at first differentiating is standard vehicle or repacking vehicle;
(4) after the affirmation vehicle, lock the technical parameter of this vehicle;
(5) be confirmed to be the repacking vehicle, enter unit of account length of wagon capacity value calculation procedure;
(6) preset the pressure transducer that carload detects at the road channel inlet, the output signal of pressure transducer is drawn by default signal cable line;
(7) when automobile enters the road channel inlet, pressure transducer converts electric signal to the pressure signal that is about to sense and exports through data collecting card to PC;
(8) calculate each axle load of automobile according to the funtcional relationship between automobile axle load and the pressure signal at the PC calculate platform.
The present invention can determine the axletree number of tested automobile; Calculate acquisition vehicle mass value and unit length of wagon quality value according to kinetic model; Can calculate the load and the unit length of wagon capacity value that obtain tested automobile, and make the differentiation that whether overloads and what overload; Can calculate the load and the unit length of wagon capacity value that obtain tested street rod, and make whether allowing the differentiation of passing through according to the current restriction of road surface load-bearing capacity, operating safety factor and traffic law defined.
Embodiment
Content below in conjunction with the inventive method provides following examples:
Select different automobile types and dead weight capacity thereof successively to enter the mouth successively by highway.
(1) absorbed vehicles head and the tail profile two dimensional images in the road channel porch by two CCD cameras;
(2) image information is carried out Flame Image Process and the double image composition algorithm carries out 3-D view reconstruct to tested automobile through image pick-up card to PC;
(3) by with the standard vehicle shape library in the comparison of car conour image, determine the vehicle classification;
(4) enter road channel when inlet when automobile, wheel shaft is successively by the carload pick-up unit, pressure transducer in real time to data collecting card output pressure electric signal through data collecting card to PC;
(5) calculate each axle load of automobile according to the funtcional relationship between automobile axle load and the pressure signal;
(6) axletree number and the kinetic model according to tested automobile calculates acquisition vehicle mass value and unit length of wagon quality value;
(7) calculate load and the unit length of wagon capacity value that obtains tested automobile, and make how much and the whether green differentiation that whether overloads, overloads.
Is object below in conjunction with the present invention with concrete vehicle, further describes its implementation result:
Experiment truck 1: the east wind cloud vapour doube bridge emperor-KM1116G2 that gets rich
(1) KM1116G2 enters the mouth by highway, outside drawing picture before and after being gathered;
(2) be recognized as " east wind cloud vapour doube bridge get rich emperor-KM1116G2 " standard vehicle;
(3) calculate acquisition through load detection means measure and calculate platform:
Complete vehicle quality 16500kg
The length of wagon quality 1375kg/m of unit
Load 5500kg＜demarcation tonnage 6000kg
No matter load still is a unit length of wagon quality to conclusion all allows to pass through.Implementation result is very remarkable.
Experiment truck 2: the heavy vapour-CQ3192BL381 in Chongqing
(1) CQ3192BL381 enters the mouth by highway, outside drawing picture before and after being gathered;
(2) be recognized as " the heavy vapour-CQ3192BL381 in Chongqing " standard vehicle;
(3) calculate acquisition through load detection means measure and calculate platform:
Complete vehicle quality 20000kg
The length of wagon quality 2857kg/m of unit
Load 11000kg＞demarcation tonnage 10000kg
No matter load still is a unit length of wagon weight to conclusion does not all allow to pass through.Implementation result is very remarkable.
Experiment truck 3: refitted truck
(1) refitted truck enters the mouth by highway, outside drawing picture before and after being gathered;
(2) be recognized as outer likeness in form " east wind cloud vapour doube bridge get rich emperor ", but vehicle body goes out 1m than standard vehicle commander;
(3) calculate acquisition through load detection means measure and calculate platform:
Complete vehicle quality 20000kg
The length of wagon quality 1667kg/m of unit
Load 9000kg＞demarcation tonnage 6000kg
No matter load still is a unit length of wagon quality to conclusion does not all allow to pass through.Implementation result is very remarkable.
Claims (2)
1, a kind of automobile overload automatic identification method is characterized in that, at first differentiates vehicle by camera, and carload detects by pressure sensor signal and exports through data collecting card to PC, according to the funtcional relationship calculating acquisition axle load of axle load and pressure; According to the result of carload detection with the identification of car category specification, on the PC calculate platform, can calculate the actual loading amount, overload capacity, the unit length of wagon quality that obtain tested automobile with reasoning very easily, finally finish automobile overload identification, export whether tested automobile overloads and whether current road allows the conclusion of passing through.
2, automobile overload automatic identification method according to claim 1 is characterized in that, step is specific as follows:
(1) be mutually the position of the angle of cut at former and later two of road channel inlet, by two CCD cameras to realize from of the collection of two visual angles of vehicle head and the tail to tested car conour image;
(2) image information is carried out Flame Image Process and the double image composition algorithm carries out 3-D view reconstruct to tested automobile through image pick-up card to PC;
(3) by with the standard vehicle shape library in the comparison of car conour image, at first differentiating is standard vehicle or repacking vehicle;
(4) after the affirmation vehicle, lock the technical parameter of this vehicle;
(5) be confirmed to be the repacking vehicle, enter unit of account length of wagon capacity value calculation procedure;
(6) preset the pressure transducer that carload detects at the road channel inlet, the output signal of pressure transducer is drawn by default signal cable line;
(7) when automobile enters the road channel inlet, pressure transducer converts electric signal to the pressure signal that is about to sense and exports through data collecting card to PC;
(8) calculate each axle load of automobile according to the funtcional relationship between automobile axle load and the pressure signal at the PC calculate platform.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNB2005100250671A CN100342223C (en) | 2005-04-14 | 2005-04-14 | Automobile overload automatic identification method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNB2005100250671A CN100342223C (en) | 2005-04-14 | 2005-04-14 | Automobile overload automatic identification method |
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| Publication Number | Publication Date |
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| CN1670490A true CN1670490A (en) | 2005-09-21 |
| CN100342223C CN100342223C (en) | 2007-10-10 |
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| Application Number | Title | Priority Date | Filing Date |
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| CNB2005100250671A Expired - Fee Related CN100342223C (en) | 2005-04-14 | 2005-04-14 | Automobile overload automatic identification method |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101532871B (en) * | 2008-03-13 | 2011-11-30 | 欧姆龙株式会社 | Axle load measuring system and vehicle separating method |
| CN102564546A (en) * | 2010-12-14 | 2012-07-11 | 金基太 | Method and system for detecting overload and unlawful measurement of vehicle |
| CN101868580B (en) * | 2007-11-21 | 2012-07-18 | 沃尔沃建筑设备公司 | Load sensing system, working machine comprising the system, and method for controlling a hydraulic function |
| CN109141595A (en) * | 2018-06-15 | 2019-01-04 | 东南大学 | A method of it is ceased by video identification vehicle dimension acquisition of information traffic axis information carrying |
| CN111426368A (en) * | 2020-04-23 | 2020-07-17 | 广州市甬利格宝信息科技有限责任公司 | Mobile weighing measurement method for automobile load |
| CN114519924A (en) * | 2022-02-16 | 2022-05-20 | 北京静宇轩物联科技有限公司 | Overload detection system and method for non-highway passing vehicles |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002183882A (en) * | 2000-12-12 | 2002-06-28 | Mitsubishi Heavy Ind Ltd | Overloaded vehicle detecting system |
| CN100367014C (en) * | 2002-02-26 | 2008-02-06 | 乔永康 | Automatic vehicle overload detecting system and method |
| CN2674415Y (en) * | 2003-12-17 | 2005-01-26 | 仲崇仁 | Automobile dynamic load meter |
-
2005
- 2005-04-14 CN CNB2005100250671A patent/CN100342223C/en not_active Expired - Fee Related
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101868580B (en) * | 2007-11-21 | 2012-07-18 | 沃尔沃建筑设备公司 | Load sensing system, working machine comprising the system, and method for controlling a hydraulic function |
| CN101532871B (en) * | 2008-03-13 | 2011-11-30 | 欧姆龙株式会社 | Axle load measuring system and vehicle separating method |
| CN102564546A (en) * | 2010-12-14 | 2012-07-11 | 金基太 | Method and system for detecting overload and unlawful measurement of vehicle |
| CN109141595A (en) * | 2018-06-15 | 2019-01-04 | 东南大学 | A method of it is ceased by video identification vehicle dimension acquisition of information traffic axis information carrying |
| CN109141595B (en) * | 2018-06-15 | 2020-06-30 | 东南大学 | Method for acquiring traffic axle load information by identifying vehicle size information through video |
| CN111426368A (en) * | 2020-04-23 | 2020-07-17 | 广州市甬利格宝信息科技有限责任公司 | Mobile weighing measurement method for automobile load |
| CN111426368B (en) * | 2020-04-23 | 2021-08-13 | 广州市甬利格宝信息科技有限责任公司 | Mobile weighing measurement method for automobile load |
| CN114519924A (en) * | 2022-02-16 | 2022-05-20 | 北京静宇轩物联科技有限公司 | Overload detection system and method for non-highway passing vehicles |
Also Published As
| Publication number | Publication date |
|---|---|
| CN100342223C (en) | 2007-10-10 |
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