CN112677711B - Vehicle tire detection method and detection system - Google Patents
Vehicle tire detection method and detection system Download PDFInfo
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- CN112677711B CN112677711B CN202011583937.8A CN202011583937A CN112677711B CN 112677711 B CN112677711 B CN 112677711B CN 202011583937 A CN202011583937 A CN 202011583937A CN 112677711 B CN112677711 B CN 112677711B
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Abstract
The invention discloses a method and a system for detecting a whole vehicle tire, which comprises the following steps: sequentially detecting the pattern depth of each single tire of each part of the vehicle at one time to obtain the pattern depth information of each single tire of each part; if the depth values of the texture patterns of all the tires meet the requirements, calculating according to the depth values of the texture patterns of all the tires; and judging whether the tire has a four-wheel positioning problem or a tire air pressure problem, and if so, outputting different analysis suggestions according to different problems. The invention has the following beneficial effects: the detection personnel do not need to remember data such as a first standard tread depth threshold value, and after the detection personnel use the detection system to carry out a detection method, whether the detection personnel are qualified or not is judged according to the tread depth; and then, performing problem analysis according to the depth value of each texture of the tire, and if the depth value does not meet the requirement, giving out maintenance suggestions of whether the tire needs to be replaced, the tire transposition, four-wheel positioning and tire pressure increasing and decreasing, so that the method is a quick and accurate detection method.
Description
Technical Field
The invention belongs to the technical field of automobile detection, and particularly relates to a method and a system for detecting a whole automobile tire.
Background
At present, for the detection of the bus under the flag, most of bus groups need to measure the tread depth and the tire pressure of the whole bus tire by detection personnel in person, the detection personnel need to calculate to confirm whether the bus under detection is qualified or not according to experience and tables, and most of detection methods can only detect the tread depth value, but cannot detect the actual defects and potential hidden dangers of the bus. Therefore, the subsequent work of the inspector is complicated, especially when one inspector needs to inspect more than 100 buses in real time.
Therefore, a method and a system for detecting a vehicle tire are lacked.
Disclosure of Invention
The invention mainly aims to provide a method and a system for detecting a vehicle tire, and aims to solve the technical problems in the background technology.
1. A method for testing an entire vehicle tire with a testing system, comprising the steps of:
step S10, sequentially carrying out first detection on the pattern depth of each single tire of each part of the vehicle to obtain the pattern depth information of each single tire of each part;
step S20, calculating the depth difference of the front tire patterns on two sides, the depth difference of the two rear tire patterns on the same side and the depth difference of the rear tire patterns on two sides according to the pattern depth information of each part;
step S30, comparing the pattern depth information of each part, the depth difference of the front tire patterns on the two sides, the depth difference of the two rear tire patterns on the same side and the depth difference of the rear tire patterns on the two sides with the corresponding first standard tire pattern depth threshold respectively;
step S40, if the depth values of the texture patterns of all the tires meet the requirements, calculating according to the depth values of the texture patterns of all the tires; and judging whether the tire has a four-wheel positioning problem or a tire air pressure problem, and if so, outputting different analysis suggestions according to different problems.
Preferably, the method further comprises the steps of:
step S60, carrying out third detection on the tires of each part of the vehicle in sequence to obtain the tire tread pressure information of each part; and step S70, comparing the tire pattern air pressure information of each part with the corresponding first standard tire pressure threshold value respectively to judge whether the tire pattern air pressure information meets the requirements.
Preferably, the vehicle comprises a bus.
Preferably, in step S30, the first standard tread depth threshold is stored in the storage module.
The invention also provides a whole vehicle tire detection system, which comprises a first detection module, a first calculation module, a first comparison module and an output module, wherein the first detection module is used for sequentially carrying out first detection on each pattern depth of each tire at each part of a vehicle so as to obtain the pattern depth information of each part of a single tire, the first calculation module is used for calculating the depth difference of front tire patterns at two sides, the depth difference of two rear tire patterns at the same side and the depth difference of rear tire patterns at two sides according to the pattern depth information of each part, and the first comparison module is used for respectively carrying out size comparison on the pattern depth information, the depth difference of the front tire patterns at two sides, the depth difference of the two rear tire patterns at the same side and the depth difference of the rear tire patterns at two sides with corresponding first standard tread depth thresholds; the output module is used for calculating according to the depth value of each texture pattern of each tire; and judging whether the tire has a four-wheel positioning problem or a tire air pressure problem, and if so, outputting different analysis suggestions according to different problems.
The invention discloses a vehicle tire detection method and a vehicle tire detection system, which have the following beneficial effects:
the detection personnel do not need to remember data such as a first standard tread depth threshold value, and after the detection personnel use the detection system to carry out a detection method, whether the detection personnel are qualified or not is judged according to the tread depth; performing problem analysis according to the depth value of each texture of the tire; if the vehicle body height detection method does not accord with the maintenance suggestion that whether the tire needs to be replaced or not, the tire transposition exists, the four-wheel positioning is carried out, the tire air pressure is increased or decreased or the vehicle body height is uneven, the vehicle body height detection method is a quick and accurate detection method.
Drawings
FIG. 1 is a schematic flow chart of a method for detecting a vehicle tire according to the present invention;
FIG. 2 is a schematic block diagram of a vehicle tire inspection system of the present invention;
FIG. 3 is a schematic view of various portions of a vehicle according to the present invention;
FIG. 4 is a schematic view of the tire position and depth analysis of the tire according to the present invention;
FIG. 5 is a schematic view of the left front wheel of the present invention;
FIG. 6 is a schematic diagram of a texture depth analysis scenario in accordance with the present invention;
FIG. 7 is a schematic view of the air pressure analysis according to the present invention;
fig. 8 is a detailed flowchart of step S50 according to the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. It is noted that relative terms such as "first," "second," and the like may be used to describe various components, but these terms are not intended to limit the components. These terms are only used to distinguish one component from another component. For example, a first element could be termed a second element, and, similarly, a second element could be termed a first element, without departing from the scope of the present invention. The term "and/or" refers to a combination of any one or more of the associated items and the descriptive items.
As shown in fig. 1, fig. 2, fig. 3 and fig. 4, fig. 1 is a schematic flow chart of a method for detecting a vehicle tire according to the present invention; FIG. 2 is a schematic block diagram of a vehicle tire inspection system of the present invention; FIG. 3 is a schematic view of various portions of a vehicle according to the present invention;
the invention relates to a method for detecting a whole vehicle tire through a detection system, which comprises the following steps:
step S10, sequentially carrying out first detection on the pattern depth of each single tire of each part of the vehicle 10 to obtain the pattern depth information of each single tire of each part; the pattern depth information represents an average pattern depth value of each part; the vehicle includes a bus. Each different part has different number of tyres, and each tyre is not limited to four patterns.
In step S10, a detector utilizes a detection system to carry out first detection on the pattern depth of a single tire at each part of the vehicle according to the sequence; as shown in fig. 3, each part of the vehicle 10 includes a left front wheel 11, a right front wheel 12, a left rear main wheel 13, a left side rear upper wheel 14, a right rear main wheel 15, and a right side rear upper wheel 16 (6 wheels in total). Of course, the vehicle 10 also has 8 tires and 10 tire styles, and when the vehicle is 8 or 10 wheels, the tread depth information of the 8 tires or 10 tires is sequentially acquired; the pattern depth information indicates an average pattern depth value at each portion. Such as: the left front wheel has four pattern depths, and the pattern depth information of the left front wheel is an average value obtained by adding the four pattern depths.
In step S10, the obtained pattern depth information includes a pattern depth (6) of the left front wheel 11, a pattern depth (1) of the right front wheel 12, a pattern depth (5) of the left rear main wheel 13, a pattern depth (4) of the left rear upper wheel 14, a pattern depth (3) of the right rear main wheel 15, and a pattern depth (2) of the right rear upper wheel 16; specifically, the left front wheel has four patterns, and therefore the pattern depth (6) of the left front wheel is an average value of the four pattern depths added together. The remaining same principles are not described in detail.
Step S20, calculating the depth difference of the front tire patterns on two sides, the depth difference of the two rear tire patterns on the same side and the depth difference of the rear tire patterns on two sides according to the pattern depth information of each part; wherein, the difference value of the depths of the two rear tyre threads on the same side comprises the difference value of the depths of the right rear main upper tyre threads and the left rear main upper tyre threads;
in step S20, as shown in fig. 4, the front tire tread depth difference a is an absolute value of a difference between the tread depth (1) of the right front wheel 12 and the tread depth (6) of the left front wheel 11; the difference B value of the tread depth of the right rear main upper is the absolute value of the difference formed by subtracting the pattern depth (3) of the right rear main wheel 15 from the pattern depth (2) of the right rear upper wheel 16; the left rear main upper pattern depth difference C is an absolute value of a difference formed by subtracting the pattern depth (5) of the left rear main wheel 13 from the pattern depth (4) of the left rear upper wheel 14; the rear tire tread depth difference is an absolute value of ((2) + (3))/2- ((4) + (5))/2, that is, the rear tire tread depth difference D is an absolute value of a difference obtained by subtracting one-half of the sum of the tread depth (2) of the right side rear upper wheel 16 and the tread depth (3) of the right side rear main wheel 15 from one-half of the sum of the tread depth (4) of the left side rear upper wheel 14 and the tread depth (5) of the left side rear main wheel 13.
Step S30, comparing the pattern depth information of each part, the depth difference of the front tire patterns on the two sides, the depth difference of the two rear tire patterns on the same side and the depth difference of the rear tire patterns on the two sides with the corresponding first standard tire pattern depth threshold respectively;
in step S30, the first standard tread depth threshold value includes a standard tread depth of the left front wheel 11, a standard tread depth of the right front wheel 12, a standard tread depth of the left rear main wheel 13, a standard tread depth of the left rear upper wheel 14, a standard tread depth of the right rear main wheel 15, a standard tread depth of the right rear upper wheel 16, a front tire tread depth difference standard value, a right rear main upper tread depth difference standard value, a left rear main upper tread depth difference standard value, and a rear tire tread depth difference standard value;
wherein, as shown in fig. 4, the standard tread depth of the left front wheel 11 and the standard tread depth of the right front wheel 12 are both 3.2mm; the standard tread depth of the left rear main wheel 13, the standard tread depth of the left side rear upper wheel 14, the standard tread depth of the right rear main wheel 15 and the standard tread depth of the right side rear upper wheel 16 are all 1.6mm.
As shown in fig. 4, both the front sipe depth difference criterion value and the rear sipe depth difference criterion value are 3mm; the standard value of the difference of the left rear main upper tread depth difference and the standard value of the difference of the right rear main upper tread depth difference are both 2mm;
and S40, if the depth values of the texture patterns of all the tires meet the requirements, calculating according to the depth values of the texture patterns of all the tires, judging whether the tires have four-wheel positioning or tire air pressure problems, and if the tires have the problems, outputting different analysis suggestions according to different problems.
In step S40, each tire at each location has four textures; as shown in fig. 5, the left front wheel 11 includes a first texture 111, a second texture 112, a third texture 113, and a fourth texture 114 arranged in this order; the depth of the fourth texture 114 is a1, the depth of the third texture 113 is b1, the depth of the second texture 112 is c1, and the depth of the first texture 111 is d1. The present embodiment is mainly directed to four textures; of course, a tire may have three textures, two textures, five textures, etc.; the remaining number of textures shall also fall within the scope of the present embodiment.
As shown in fig. 8, step S40 specifically includes:
step S41, calculating a first calculated value; the first calculation value is an absolute value of a difference value of the depth a1 of the fourth texture 114 minus the depth d1 of the first texture 111;
step S42, calculating a second calculated value; the second calculation value is (a 1+ d 1) ÷ 2- (b 1+ c 1) ÷ 2, i.e., the second calculation value is a difference value of one-half of the sum of the depth a1 of the fourth texture 114 and the depth d1 of the first texture 111 minus one-half of the sum of the depth b1 of the third texture 113 and the depth c1 of the second texture 112;
step S43, comparing the first calculated value with the first interval, the second interval and the third interval respectively; the first interval is less than 1; the second interval is between 1 and 2; the third interval is greater than 2;
and S44, outputting a first analysis suggestion according to the interval where the first calculated value is located.
In step S44, as shown in fig. 6, when the first calculated value is in the first interval, the first analysis suggestion is 0; when the first calculated value is in the second interval, the tire is indicated to be eccentrically worn, and the first output suggestion is that four-wheel positioning is suggested to be checked; when the first calculated value is in the third interval, the tyre is indicated to be severely eccentric, and the first output suggestion is that the four-wheel positioning is checked, namely the four-wheel positioning problem is detected. The principle is as follows: the single tire has excessive left and right tread depth variation (tire bias wear) and may be a problem with four-wheel alignment.
Step S45, comparing the second calculated value with a fourth interval and a fifth interval respectively; the fourth interval is greater than 0.5; the fifth interval is less than 0.5;
and S46, outputting a second analysis suggestion according to the interval where the second calculation value is located.
In step S46, as shown in fig. 6, when the second calculated value is in the fourth interval, which indicates that the air pressure is too high, the second analysis suggests that the tire air pressure is to be checked; when the second calculated value is in the fifth interval, indicating that the air pressure is too low, the second analysis suggests checking the tire air pressure.
As shown in fig. 1 and 7, it preferably further includes the steps of:
step S60, carrying out third detection on the tires of all parts of the vehicle in sequence to obtain the tire tread pressure information of all parts; and step S70, comparing the tire pattern air pressure information of each part with the corresponding first standard tire pressure threshold value respectively to judge whether the tire pattern air pressure information meets the requirements.
Wherein, in step S30, the first standard tread depth threshold, the standard tread depth of the left front wheel 11 and the standard tread depth of the right front wheel 12 are all 3.2mm; the standard tread depth of the left rear main wheel 13, the standard tread depth of the left rear upper wheel 14, the standard tread depth of the right rear main wheel 15 and the standard tread depth of the right rear upper wheel 16 are all 1.6mm, and the like, and the data are stored in a storage module of the whole vehicle tire detection system.
The invention also provides a whole vehicle tire detection system, which comprises a first detection module, a first calculation module, a first comparison module and an output module, wherein the first detection module is used for sequentially carrying out first detection on each pattern depth of each tire at each part of a vehicle so as to obtain the pattern depth information of a single tire at each part; the output module is used for calculating according to the depth value of each texture pattern of each tire; and judging whether the tire has a four-wheel positioning problem or a tire air pressure problem, and if so, outputting different analysis suggestions according to different problems.
The invention discloses a vehicle tire detection method and a vehicle tire detection system, which have the following beneficial effects:
the detection personnel do not need to remember data such as a first standard tread depth threshold value, and after the detection personnel use the detection system to carry out a detection method, whether the detection personnel are qualified or not is judged according to the tread depth; and problem analysis is carried out according to the depth value of each texture of the tire, and if the problem is not met, whether four-wheel positioning or tire air pressure exists can be determined, so that the method is a quick and accurate detection method.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (6)
1. A method for testing an entire vehicle tire with a testing system, comprising the steps of:
step S10, sequentially detecting the pattern depth of each part of single tire of the vehicle at one time to obtain the pattern depth information of each part of single tire;
step S20, calculating the difference value of the depths of the front tire stripes on the two sides, the difference value of the depths of the two rear tire stripes on the same side and the difference value of the depths of the rear tire stripes on the two sides according to the pattern depth information of each part;
step S30, comparing the pattern depth information of each part, the depth difference of the front tire patterns on the two sides, the depth difference of the two rear tire patterns on the same side and the depth difference of the rear tire patterns on the two sides with the corresponding first standard tire pattern depth threshold respectively;
step S40, if the depth values of the texture patterns of all the tires meet the requirements, calculating according to the depth values of the texture patterns of all the tires; judging whether the tire has a four-wheel positioning problem or a tire air pressure problem, and if so, outputting different analysis suggestions according to different problems; wherein each tire at each location has four textures; the texture processing device comprises a first texture, a second texture, a third texture and a fourth texture which are sequentially arranged; the depth of the fourth texture is a1, the depth of the third texture is b1, the depth of the second texture is c1, and the depth of the first texture is d1;
step S40 specifically includes:
step S41, calculating a first calculated value; the first calculation value is the absolute value of the difference value formed by subtracting the depth d1 of the first texture from the depth a1 of the fourth texture;
step S42, calculating a second calculated value; the second calculation value is (a 1+ d 1) ÷ 2- (b 1+ c 1) ÷ 2, i.e., the second calculation value is a difference value of one half of the sum of the depth a1 of the fourth texture and the depth d1 of the first texture minus one half of the sum of the depth b1 of the third texture and the depth c1 of the second texture;
step S43, comparing the first calculated value with the first interval, the second interval and the third interval respectively; the first interval is less than 1; the second interval is between 1 and 2; the third interval is greater than 2;
step S44, outputting a first analysis suggestion according to the interval where the first calculated value is located;
in step S44, when the first calculated value is in the first interval, the first analysis suggestion is 0; when the first calculated value is in the second interval, the tire is indicated to be eccentrically worn, and the first output suggestion is that four-wheel positioning is suggested to be checked; when the first calculated value is in a third interval, the tire is indicated to be severely eccentric, and the first output suggestion is that four-wheel positioning is suggested to be checked, namely, the four-wheel positioning problem is detected;
step S45, comparing the second calculated value with a fourth interval and a fifth interval respectively; the fourth interval is greater than 0.5; the fifth interval is less than 0.5;
step S46, outputting a second analysis suggestion according to the interval where the second calculation value is located;
in step S46, when the second calculated value is in the fourth interval, indicating that the air pressure is too high, the second analysis suggests checking the air pressure of the tire; when the second calculated value is in the fifth interval, indicating that the air pressure is too low, the second analysis suggests checking the tire air pressure.
2. The detection method of claim 1, further comprising the steps of:
step S60, carrying out third detection on the tires of all parts of the vehicle in sequence to obtain the tire tread pressure information of all parts;
and step S70, comparing the tire pattern air pressure information of each part with the corresponding first standard tire pressure threshold value respectively to judge whether the tire pattern air pressure information meets the requirements.
3. The detection method of claim 1, wherein the vehicle comprises a bus.
4. The detection method according to claim 1, characterized in that in step S30, the first standard footprint depth threshold is stored in a storage module.
5. The detection method according to claim 1, wherein each part comprises a left front wheel, a right front wheel, a left rear main wheel, a left counter wheel, a right rear main wheel, and a right counter wheel.
6. The detection system for the whole vehicle tire by using the detection method according to any one of claims 1 to 5, comprising a first detection module, a first calculation module, a first comparison module and an output module, wherein the first detection module is used for sequentially carrying out first detection on each pattern depth of each tire of each part of the vehicle so as to obtain the pattern depth information of each part of the single tire, the first calculation module is used for calculating the depth difference value of the front tire patterns at two sides, the depth difference value of the two rear tire patterns at the same side and the depth difference value of the rear tire patterns at two sides according to the pattern depth information of each part, and the first comparison module is used for respectively carrying out size comparison on the depth information of the pattern depth of each part, the depth difference value of the front tire patterns at two sides, the depth difference value of the two rear tire patterns at the same side and the depth difference value of the rear tire patterns at two sides with the corresponding first standard tread depth threshold values; the output module is used for calculating according to the depth value of each texture pattern of each tire; and judging whether the tire has a four-wheel positioning problem or a tire air pressure problem, and if so, outputting different analysis suggestions according to different problems.
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| DE102007053153A1 (en) * | 2007-11-08 | 2009-05-14 | Continental Aktiengesellschaft | Vehicle tire, has sensor for monitoring tread depth, and coupled with activating agent arranged in tread by action at distance without electrical lines, where activating agent indicates condition of tread depth |
| DE102007054156A1 (en) * | 2007-11-12 | 2009-05-14 | Ventech Gmbh | Method for determining the pressure and the tread depth in a vehicle tire |
| US8573046B1 (en) * | 2011-01-04 | 2013-11-05 | Bell Automotive Products, Inc. | Combined tread depth measurement tool and pneumatic pressure gauge systems and methods |
| CN104842721B (en) * | 2015-05-29 | 2017-01-18 | 北京信伦联创科技有限公司 | Tire management system with tire loss monitoring function |
| CN106799938A (en) * | 2017-03-06 | 2017-06-06 | 大连职业技术学院 | A kind of Tire Pressure Monitor System |
| CN107415598A (en) * | 2017-09-11 | 2017-12-01 | 湖州靖源信息技术有限公司 | A kind of treadwear monitors sensor |
| CN108437706A (en) * | 2018-01-26 | 2018-08-24 | 安徽佳通乘用子午线轮胎有限公司 | It is a kind of based on road test groove measurement data to the evaluation method of tire eccentric wear degree |
| CN109703296B (en) * | 2019-03-04 | 2020-12-15 | 知轮(杭州)科技有限公司 | Tire wear degree detection method and device and tire |
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| US5365668A (en) * | 1990-03-19 | 1994-11-22 | Robert Galvin | Device for monitoring the wear on a tire and the geometry of a vehicle's road wheels |
| JP2002183260A (en) * | 2000-12-12 | 2002-06-28 | Keiji Mori | Tire exchange by tire groove inspection and rotation management system |
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