CN104677649B - Tire mechanical property intelligent detection device and detection method thereof - Google Patents
Tire mechanical property intelligent detection device and detection method thereof Download PDFInfo
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- CN104677649B CN104677649B CN201510127234.7A CN201510127234A CN104677649B CN 104677649 B CN104677649 B CN 104677649B CN 201510127234 A CN201510127234 A CN 201510127234A CN 104677649 B CN104677649 B CN 104677649B
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- tire
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- mark point
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60C—VEHICLE TYRES; TYRE INFLATION; TYRE CHANGING; CONNECTING VALVES TO INFLATABLE ELASTIC BODIES IN GENERAL; DEVICES OR ARRANGEMENTS RELATED TO TYRES
- B60C23/00—Devices for measuring, signalling, controlling, or distributing tyre pressure or temperature, specially adapted for mounting on vehicles; Arrangement of tyre inflating devices on vehicles, e.g. of pumps or of tanks; Tyre cooling arrangements
- B60C23/06—Signalling devices actuated by deformation of the tyre, e.g. tyre mounted deformation sensors or indirect determination of tyre deformation based on wheel speed, wheel-centre to ground distance or inclination of wheel axle
- B60C23/066—Signalling devices actuated by deformation of the tyre, e.g. tyre mounted deformation sensors or indirect determination of tyre deformation based on wheel speed, wheel-centre to ground distance or inclination of wheel axle by monitoring wheel-centre to ground distance
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- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Tires In General (AREA)
- Force Measurement Appropriate To Specific Purposes (AREA)
- Length Measuring Devices By Optical Means (AREA)
Abstract
The invention discloses a tire mechanical property intelligent detection device and a detection method thereof. The detection device comprises a tire, a rim, a gravity sensor, a camera and a marking point; the gravity sensor and the camera are arranged at the same circumferential position of the rim; the marking point is positioned on the surface of the inner side of the tire; the camera is arranged over against an area of the marking point. The detection method adopts a neural network algorithm; when the working tire is deformed, the camera is utilized to acquire displacement variation of a phosphor dot and a tire force is obtained by the neural network algorithm; a six-component sensor is not required for measuring a tangential force, an axial force, a vertical force, a running torque, a rolling moment and a yawing moment on a rotary drum test bench to realize solution of a longitudinal force, a lateral force, a vertical load, a running torque, a rolling moment and an aligning torque of the tire; the tire mechanical property intelligent detection device has the advantages of being simple and compact in structure, simple and convenient to operate, low in cost and the like.
Description
Technical field
The present invention relates to mechanics of tire feature measurement field, more particularly to a kind of measurement tire mechanical characteristic it is intelligently
System.
Background technology
Mostly existing automobile dynamics dynamical property test system is to add attached setting on the basis of vehicle chassis dynamometer
The standby or automobile dynamics dynamical property test system based on integrated rotary drum, using modularized design, by TT＆C system and
The improvement system of several integrated rotary drum compositions, general principle is to use drum simulation road surface, the driving wheel of automobile is placed on and turns
On drum, drive rotary drum to rotate, control and apply resistance to rotary drum, simulate different running resistances, tire force is calculated by sensor,
Its mechanism is complicated, and battlefield area is big, and experimental condition limitation is big, the shortcomings of manufacturing cost is also high.
Content of the invention
In order to overcome the above-mentioned deficiencies of the prior art, the invention provides a kind of intelligent measuring systems of mechanics of tire characteristic
And method, the change in displacement that this system is put by tire inner surface mark, using neural network algorithm, calculate tire force, do not have
Have using drum dynamometer and six-component sensor, structure is simple, compact, operation limitation is little, low cost.
The technical solution adopted in the present invention is：This detection means include tire, wheel rim, gravity sensor, camera with
And mark point；Described gravity sensor and camera are arranged on the same circumferential position of wheel rim, and described mark point is located at tire
Inner surface, described camera just to mark point region setting.
Described gravity sensor and camera constitute mark point location registration system, and this record system is inside in wheel rim week
Surface is fixed with wheel rim, and gravity sensor can determine, according to road gradient, the time that triggering camera is taken pictures, and completes to tire
What the mark in ground contact patch region was put takes pictures.
Described mark point is the luminous point using luminescent material, can be regular shape can also be non-regular shape,
Described mark point is the Rectangular grid shape structure pickup area of mark inside tire, between the length and width between mark point
Away from being 2cm, eight points of width mark, 12 points of length direction mark, described camera is fixed on just to a mark point area
The wheel rim inner surface in domain.
Described ground contact patch area is the contact area of road surface and tire.
The method comprises the following steps：
1., inside tire, Rectangular grid shape pickup area mark point is marked using luminescent material, in inside tires
Gravity sensor and camera placed on wheel rim, gravity sensor and camera are just marking point to pickup area, described with adopting
The tire of collection zone marker point, wheel rim, gravity sensor and camera constitute mechanics of tire characteristic intelligent detection device；
2., it is acquired the test of relation between zone marker point position and mechanics of tire characteristic, method of testing is by step
1. described mechanics of tire characteristic intelligent detection device is arranged on tire mechanical property testing platform, vacantly unloaded in the tire of Fz=0
Under state, gather mark dot image using camera, the image A of mark point that record reservation camera is taken pictures and now tire
Six square phase characteristic, described Fz is that tire mechanical property testing platform is applied to the vertical load on tire；
3., on tire mechanical property testing platform, vertical load Fz is applied to tire and so that it is moved, work as gravity sensor
Be in wheel rim underface when, triggering camera taken pictures, now collect apply this vertical load Fz load condition under
Mark dot image B, record and retain；
4., in step, 2. 3. described image A and step built using image center as the origin of coordinates in described image B respectively
Vertical rectangular coordinate system, identifies coordinate value under selected coordinate system for the mark point using image processing techniques, with each on image B
The coordinate value of correspondence each luminescent material mark point on the coordinate value subtracted image A of luminescent material mark point, records each mark point position
Move variate-value；
5., utilize intelligent algorithm, such as non-between neural network algorithm determination mark point coordinates and tire six square phase characteristic
Linear mapping relation, can get marker pip displacement variate-value and the size of the vertical load being applied sets up functional relation, passes through
Described functional relation calculates Fz；
6., on described tire mechanical property testing platform tire other directions suffered load can according to step 5. determined by
Nonlinear Mapping relation between the six square phase characteristic of mark point coordinates and tire, obtains the mechanical characteristic of tested tire.
The present invention has the advantages that：
1st, the present invention marks clearly some visible fluorescence points, phosphor dot quantity and layout by Mk system in tire inner surface
Determined according to vehicle, camera is fixed on wheel rim, during tire working deformation, can accurately shoot the change of tire internal labeling point.
2nd, the present invention passes through deformations of tyre, accurately calculates tire force in conjunction with neural network algorithm, with conventional tire power
Measuring method is compared, and does not adopt drum dynamometer and six-component sensor, the tangential force on measurement drum dynamometer, axial direction
Power, vertical force, turning moment, moment resulting from sidesway and yaw moment are realizing longitudinal force of tire, side force, vertical load, revolving force
The solution of square, moment resulting from sidesway and aligning torque, has that structure is simple, device is compact, the features such as easy to operate and low cost.
Brief description
Fig. 1 is mechanics of tire characteristic intelligent detection device structural representation of the present invention.
Fig. 2 is mark point schematic layout pattern on tire of the present invention.
Fig. 3 is camera and gravity sensor set location structural representation on tire of the present invention.
Fig. 4 is road surface and tire ground contact patch area schematic diagram on tire of the present invention.
Reference：Tire 1, wheel rim 2, gravity sensor 3, camera 4, road surface 5, ground contact patch area 6, and mark point
7.
Specific embodiment
Shown in accompanying drawing 1,2,3,4：This detection means includes tire 1, wheel rim 2, gravity sensor 3, camera 4 and mark
Note point 7；Described gravity sensor 3 and camera 4 are arranged on the same circumferential position of wheel rim 2, and described mark point 7 is located at tire
1 inner surface, the region setting just to mark point 7 for the described camera 4.
Described gravity sensor 3 and camera 4 constitute a mark point location registration system, and this record system was in wheel rim 2 weeks
Inner surface is fixing with wheel rim 2, and gravity sensor 3 can determine, according to road gradient, the time that triggering camera 4 is taken pictures, and completes
To taking pictures of the mark point 7 in tire 1 ground contact patch region.
Described mark point 7 is the luminous point using luminescent material, can be regular shape can also be non-regular shape,
Described mark point 7 is the Rectangular grid shape structure pickup area of mark inside tire, the length and width between mark point 7
Spacing is 2cm, eight points of width mark, 12 points of length direction mark, and described camera 4 is fixed on just to mark point
Wheel rim 2 inner surface in region.
Described ground contact patch area 6 is road surface 5 and the contact area of tire 1.
The method comprises the following steps：
1., inside tire, Rectangular grid shape pickup area mark point is marked using luminescent material, in inside tires
Gravity sensor and camera placed on wheel rim, gravity sensor and camera are just marking point to pickup area, described with adopting
The tire of collection zone marker point, wheel rim, gravity sensor and camera constitute mechanics of tire characteristic intelligent detection device；
2., it is acquired the test of relation between zone marker point position and mechanics of tire characteristic, method of testing is by step
1. described mechanics of tire characteristic intelligent detection device is arranged on tire mechanical property testing platform, vacantly unloaded in the tire of Fz=0
Under state, gather mark dot image using camera, the image A of mark point that record reservation camera is taken pictures and now tire
Six square phase characteristic, described Fz is that tire mechanical property testing platform is applied to the vertical load on tire；
3., on tire mechanical property testing platform, vertical load Fz is applied to tire and so that it is moved, work as gravity sensor
Be in wheel rim underface when, triggering camera taken pictures, now collect apply this vertical load Fz load condition under
Mark dot image B, record and retain；
4., in step, 2. 3. described image A and step built using image center as the origin of coordinates in described image B respectively
Vertical rectangular coordinate system, identifies coordinate value under selected coordinate system for the mark point using image processing techniques, with each on image B
The coordinate value of correspondence each luminescent material mark point on the coordinate value subtracted image A of luminescent material mark point, records each mark point position
Move variate-value；
5., utilize intelligent algorithm, such as non-between neural network algorithm determination mark point coordinates and tire six square phase characteristic
Linear mapping relation, can get marker pip displacement variate-value and the size of the vertical load being applied sets up functional relation, passes through
Described functional relation calculates Fz；
6., on described tire mechanical property testing platform tire other directions suffered load can according to step 5. determined by
Nonlinear Mapping relation between the six square phase characteristic of mark point coordinates and tire, obtains the mechanical characteristic of tested tire.
Claims (2)
1. a kind of mechanics of tire characteristic intelligent detection device it is characterised in that：This detection means include tire (1), wheel rim (2),
Gravity sensor (3), camera (4) and mark point (7)；Described gravity sensor (3) and camera (4) are arranged on wheel rim
(2), on same circumferential position, described mark point (7) is located at the inner surface of tire (1), and described camera (4) is just to mark
The region setting of point (7)；Described gravity sensor (3) and camera (4) constitute mark point location registration system, this record system
System is fixing with wheel rim (2) in wheel rim (2) circumferential inner surface, and gravity sensor (3) can determine triggering shooting according to road gradient
The time that head (4) is taken pictures, complete taking pictures to mark point (7) in tire (1) ground contact patch region；Described mark point (7)
The luminous point using luminescent material, can be regular shape can also be non-regular shape, described mark point (7) is in tire
The Rectangular grid shape structure pickup area of inner side mark, the length and width spacing between mark point (7) is 2cm, width side
To eight points of mark, 12 points of length direction mark, described camera (4) is fixed on the wheel rim (2) just to mark point region
Inner surface.
2. a kind of mechanics of tire characteristic intelligent detection device according to claim 1 detection method it is characterised in that：Should
Method comprises the following steps：
1., inside tire, Rectangular grid shape pickup area mark point is marked using luminescent material, in inside tires wheel rim
Upper placement gravity sensor and camera, gravity sensor and camera are just marking point to pickup area, described with acquisition zone
The tire of field mark point, wheel rim, gravity sensor and camera constitute mechanics of tire characteristic intelligent detection device；
2., it is acquired the test of relation between zone marker point position and mechanics of tire characteristic, method of testing is by step 1. institute
State mechanics of tire characteristic intelligent detection device to be arranged on tire mechanical property testing platform, in the tire vacantly unloaded shape of Fz=0
Under state, gathered using camera and mark dot image, the six of the image A of mark point that record reservation camera is taken pictures and now tire
Component characteristic, described Fz is that tire mechanical property testing platform is applied to the vertical load on tire；
3., on tire mechanical property testing platform, vertical load Fz is applied to tire and so that it is moved, when gravity sensor is in
During the underface of wheel rim, triggering camera is taken pictures, and now collects the mark under the load condition applying this vertical load Fz
Note dot image B, records and retains；
4., step 2. described image A and step 3. set up using image center as the origin of coordinates respectively in described image B straight
Angular coordinate system, identifies coordinate value under selected coordinate system for the mark point using image processing techniques, with luminous material each on image B
On the coordinate value subtracted image A of material mark point, the coordinate value of correspondence each luminescent material mark point, records each marker pip displacement and becomes
Value；
5., utilize neural network algorithm to determine Nonlinear Mapping relation between mark point coordinates and tire six square phase characteristic, can get
The size of marker pip displacement variate-value and the vertical load being applied sets up functional relation, calculates Fz by described functional relation；
6., on described tire mechanical property testing platform tire other directions suffered load can according to step 5. determined by mark
Nonlinear Mapping relation between the six square phase characteristic of point coordinates and tire, obtains the mechanical characteristic of tested tire.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201510127234.7A CN104677649B (en) | 2015-03-23 | 2015-03-23 | Tire mechanical property intelligent detection device and detection method thereof |
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| CN201510127234.7A CN104677649B (en) | 2015-03-23 | 2015-03-23 | Tire mechanical property intelligent detection device and detection method thereof |
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| CN104677649A CN104677649A (en) | 2015-06-03 |
| CN104677649B true CN104677649B (en) | 2017-02-22 |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105172494B (en) * | 2015-09-18 | 2018-06-05 | 浙江宇视科技有限公司 | A kind of tire safety detection method and tire safety detecting system |
| CN106767434B (en) * | 2016-12-24 | 2023-03-28 | 安徽佳通乘用子午线轮胎有限公司 | Rolling tire tread slippage measurement system and tread slippage measurement method |
| WO2018180974A1 (en) * | 2017-03-28 | 2018-10-04 | 株式会社神戸製鋼所 | Tire testing method and tire testing device |
| CN107160951A (en) * | 2017-03-31 | 2017-09-15 | 安徽盛润机械科技有限公司 | Automatic tire pressure monitoring alarming processing system |
| CN109447959A (en) * | 2018-10-17 | 2019-03-08 | 东南大学 | Tire static load mark measurement method |
| US20220024266A1 (en) * | 2018-12-21 | 2022-01-27 | Bridgestone Americas Tire Operations, Llc | Tire deflection sensing system |
| CN112082749A (en) * | 2020-09-23 | 2020-12-15 | 吉林德蕴电气集团股份有限公司 | Isolator monitoring devices |
| CN113858896B (en) * | 2021-09-28 | 2023-04-07 | 安徽佳通乘用子午线轮胎有限公司 | Method for calculating sinking amount and load of rolling tire based on image method |
| CN114199154A (en) * | 2021-11-19 | 2022-03-18 | 江苏大学 | System and method for measuring three-dimensional strain of tire in whole grounding process |
| JP2024074157A (en) * | 2022-11-18 | 2024-05-30 | 株式会社ブリヂストン | Estimation device, estimation method, program, and learning device |
| CN116046243B (en) * | 2023-02-06 | 2023-12-01 | 广东粤港澳大湾区黄埔材料研究院 | Method and device for measuring vertical force of tire |
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| CN1255298C (en) * | 2000-01-25 | 2006-05-10 | 倍耐力轮胎公司 | Device for continuously measuring deformations in tyre during the travel movement of motor vehicle |
| US6934018B2 (en) * | 2003-09-10 | 2005-08-23 | Shearographics, Llc | Tire inspection apparatus and method |
| ATE546327T1 (en) * | 2003-10-31 | 2012-03-15 | Pirelli | METHOD AND DEVICE FOR DETERMINING THE ROAD ROUGHNESS OF A TIRE |
| JP2009255689A (en) * | 2008-04-15 | 2009-11-05 | Bridgestone Corp | Part fixing instrument, part fixing method and tire assembly |
| US7841232B2 (en) * | 2008-10-02 | 2010-11-30 | Ford Global Technologies, Llc | Method of dynamically measuring stiffness of a wheel and tire assembly |
| CN201677704U (en) * | 2010-03-26 | 2010-12-22 | 肖峰 | Tire with monitoring chip |
| CN102141573B (en) * | 2010-12-23 | 2013-08-07 | 江西洪都航空工业集团有限责任公司 | Rotational speed image measurement technology of landing gear drop test aircraft wheel |
| EP2658734B1 (en) * | 2010-12-30 | 2016-06-29 | MICHELIN Recherche et Technique S.A. | Piezoelectric based system and method for determining tire load |
| US8661885B1 (en) * | 2012-09-11 | 2014-03-04 | The Goodyear Tire & Rubber Company | Tire sidewall load estimation system and method |
| CN203249599U (en) * | 2013-04-11 | 2013-10-23 | 合肥米克光电技术有限公司 | Three-dimensional visual measuring instrument for load deformation of tire |
| US9259976B2 (en) * | 2013-08-12 | 2016-02-16 | The Goodyear Tire & Rubber Company | Torsional mode tire wear state estimation system and method |
| CN103884293B (en) * | 2014-04-17 | 2016-09-07 | 吉林大学 | Squeegee action online testing device based on light stream and method of testing |
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Inventor after: Lu Dang Inventor after: Lin Ze Inventor after: Zhu Xiaolong Inventor after: Jiang Qiliang Inventor after: Jiang Hehe Inventor after: Ni Yuanyuan Inventor after: Pang Zhihua Inventor after: Liu Qianjin Inventor after: Liu Yan Inventor after: Zhang Yichi Inventor before: Zhu Xiaolong Inventor before: Lu Dang Inventor before: Jiang Qiliang Inventor before: Jiang Hehe Inventor before: Ni Yuanyuan |
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