IOV (Internet of Vehicles) early-warning robot, and IOV early-warning system and early-warning method

Abstract

The invention provides an IOV (Internet of Vehicles) early-warning robot, and an IOV early-warning system and early-warning method. The system comprises an IOV early-warning robot, and the robot is provided with a warning board. The warning board is disposed on a trolley, and the robot is also provided with a GPS module and a wireless communication module. The GPS module collects the position information of the trolley after the trolley is released on the ground. The system also comprises a cloud server which is used for receiving the information transmitted by the wireless communication module. The information transmitted by the wireless communication module comprises the released information of the trolley, and the position information collected by the GPS module. The cloud server also enables the position information to be broadcast. The method comprises the steps that the robot enables the current position information and the released information to be transmitted to the cloud server after the IOV early-warning robot is released; the cloud server enables the position information of the robot and the danger warning information to be broadcast. The method provided by the invention can notify a vehicle at the back in a short time after the robot is released, and effectively avoids traffic accidents.

Description

technical field [0001] The present invention relates to the field of the Internet of Things, specifically, an Internet of Vehicles early warning robot and an Internet of Vehicles early warning system applied to automobile safety, and also relates to an early warning method for the Internet of Vehicles. Background technique [0002] With the gradual improvement of people's living standards, cars have become the most important means of transportation in people's lives, and more and more people buy cars. However, the frequency of traffic accidents is also increasing, especially car rear-end accidents occupy a considerable proportion, and often cause heavy casualties and economic losses. [0003] The reason for most rear-end collision accidents is that after the accident or failure of the vehicle in front, the vehicle behind cannot give a warning quickly, which leads to more and larger traffic accidents caused by the rear-end vehicle directly, or because the warning equipment of...

AI Technical Summary

Problems solved by technology

[0013] However, the existing Internet of Vehicles systems usually deal with traffic accidents after the event, that is, after a traffic accident occurs, the cause of the traffic accident is judged by analyzing the driving data of the vehicle. This processing method cannot provide early warning. Traffic accidents cannot be avoided

[0014] At the same time, the method used by the existing Internet of Vehicles system can only identify the location of the incident and report it to the cloud when "rescuing others", and there is no warning sign on the scene

Due to the fluidity of the vehicle, it takes a long time to wait for the disposal event, which is particularly prone to secondary accidents

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