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Method for early warning abrasion failure of automobile tires based on big data on Internet of vehicles

A technology for automobile tires and wear failures, applied in tire measurement, tire parts, electrical digital data processing, etc.

Active Publication Date: 2017-03-22
RAINBOW WIRELESS BEIJING NEW TECH CO LTD
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Problems solved by technology

[0008] The technical problem that the present invention can solve is to provide timely and effective reminders and replacement suggestions for worn tires of automobiles that are close to their service life, which solves the blind spot that ordinary drivers cannot distinguish the degree of wear and judge the wear condition of tires, and prevents serious wear and tear from excessive use. Tires pose a safety hazard

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  • Method for early warning abrasion failure of automobile tires based on big data on Internet of vehicles
  • Method for early warning abrasion failure of automobile tires based on big data on Internet of vehicles

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Embodiment Construction

[0029] The specific embodiments of the present invention will be further described in detail below.

[0030] Such as figure 1 As shown, a method for early warning of automobile tire wear faults based on big data of the Internet of Vehicles includes the following steps:

[0031] Step 1. Collect the data information of automobile tires through the Internet of Vehicles big data platform;

[0032] Step 2. Carry out data information monitoring of automobile tires through the tire monitoring system;

[0033] Step 3. According to the data information collected by the tire monitoring system, predict the wear life of the automobile tire through the Internet of Vehicles big data platform. The calculation formula is: F(XE)=∑*F(XD), where F(XE) is the predicted mileage of tire life, F(XD) is the design life mileage of the tire factory, and Σ is the evaluation coefficient of the big data platform of the Internet of Vehicles. ;

[0034] Step 4. Use the Internet of Vehicles big data plat...

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Abstract

The invention relates to a method for early warning the abrasion failure of automobile tires based on big data on the Internet of vehicles. The method comprises the following steps of step 1, acquiring data information of the automobile tires through a big data platform of the Internet of vehicles; step 2, monitoring the data information of the automobile tires by a tire monitoring system; step 3, according to the data information acquired by the tire monitoring system, performing forecasting operation on the abrasion life of the automobile tires through the big data platform of the Internet of vehicles; step 4, performing the abrasion accumulation operation on the automobile tires by utilizing the big data platform of the Internet of vehicles; and step 5, according to the travelling accumulation depletion life mileage situation of the automobile tires, through the big data platform of the Internet of vehicles, giving a driving suggestion or a tire exchanging suggestion to a driver.

Description

technical field [0001] The invention relates to a method for early warning of automobile tire wear faults based on big data of the Internet of Vehicles. Background technique [0002] At present, the application of the Internet of Vehicles is gradually deepening. With the installation of pre-installed integrated equipment on vehicles and the rise of big data methods such as cloud computing, the requirements for intelligent and humanized experience in vehicles are being appealed by more and more vehicle users. . [0003] In daily driving, the safety of car tires is very important. However, tires are consumables. After a certain mileage, the tires will be scrapped. Generally speaking, tires will have a guide life issued by the manufacturer. However, due to factors such as the operating habits and environment in which the tire is used, the actual life of the tire often has a large gap with the guide life. How to effectively warn tire failures is the most important topic in the...

Claims

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Application Information

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IPC IPC(8): B60C11/24G06F17/50
CPCB60C11/246G06F30/15
Inventor 黄亮
Owner RAINBOW WIRELESS BEIJING NEW TECH CO LTD
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