A Tire Intelligent Auxiliary Diagnosis System
An auxiliary diagnosis and tire technology, applied in tire measurement, tire parts, transportation and packaging, etc., can solve problems such as scrapped tires, uneven wear on the inside and outside, tire blowout, etc.
Active Publication Date: 2018-07-31
清华大学苏州汽车研究院(吴江)
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Problems solved by technology
First, driving the vehicle when the tires are aging or the tire wall is too thin will cause the risk of a flat tire
Second, when the tire is punctured or the inner and outer walls of the tire are damaged, there will be slow air leakage, but it is difficult to find the damaged location
Third, when the four-wheel alignment is unbalanced, continue to drive, causing uneven wear on the inside and outside, causing the tire to be scrapped in advance
Method used
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Embodiment Construction
[0023] Such as Figure 1~2 As shown, the tire intelligent auxiliary diagnosis system disclosed in the present invention includes a tire diagnostic unit, a mobile phone and a server processing platform unit.
[0024] Specifically, such as figure 2 As shown, the tire diagnostic unit includes a diagnostic body shell, and the main body shell includes a main board 1, and an environmental sensor 5, a microprocessor 3, a wireless communication module 4 and a mechanical energy storage battery 2 are integrated on the main board 1 , the environment sensor and the communication module are respectively connected to the microprocessor, and the mechanical energy storage battery supplies power to each module without battery and external power supply; the tire diagnostic unit interacts with the mobile phone and the server processing platform unit respectively through the wireless communication module. The environment sensing unit of this embodiment is used to collect data information inside...
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The invention discloses an intelligent tire auxiliary diagnosis system. The intelligent tire auxiliary diagnosis system comprises a tire diagnostor unit, a mobile phone and a server processing platform unit, wherein the tire diagnostor unit comprises a diagnostor main body housing; a mainboard is included in the main body housing; an environment sensor, a microprocessor, a wireless communication module and a mechanical energy storage battery are integrated on the mainboard; the tire diagnostor unit respectively interacts with the mobile phone and the server processing platform unit through the wireless communication modules; and the mobile phone is used for performing tire self-checking function according to user needs or receiving tire monitoring data transmitted by a server. According to the invention, customers are warned at the first time and messages are pushed to customer owner mobile phones when tires are pierced or inner and outer walls of the tires are damaged. According to the invention, when the tire has no serious problem, the tire aging degree, tire wall thickness and the like will be informed through a tire self-checking method so as to figure out the service life of the tire.
Description
technical field [0001] The invention relates to tire detection, in particular to an intelligent auxiliary diagnosis system for tires. Background technique [0002] Automobile intelligence is a stage in the evolution of the automobile industry. The current transition between automobile electrification / electronics and autonomous driving / unmanned vehicles will continue for a long time. From the time when the car is added with an electronic control module to the final realization of unmanned driving, the duration may be as long as a hundred years. However, no matter how the car evolves, it cannot do without one thing - that is the wheel, and when it comes to the importance of wheels and tires is particularly prominent. At present, the intelligentization of automobiles and the Internet of Vehicles are running at the forefront of the focus of automobiles, but people often overlook one point. In essence, the continuous innovation of automobiles is to meet the core needs of consume...
Claims
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IPC IPC(8): B60C23/00
CPCB60C23/00
Inventor 李家文金胡希
Owner 清华大学苏州汽车研究院(吴江)