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Driving safety monitoring system and method based on big data analysis

A technology of safety monitoring and big data, applied in the field of vehicle control and Internet of Vehicles big data, it can solve the problems of not collecting and analyzing vehicle driving characteristic information, not being able to correct the dangerous state for the driver, and not being able to predict the danger as soon as possible, so as to reduce the The effect of traffic accidents

Active Publication Date: 2021-10-29
DONGFENG MOTOR GRP
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

In this invention, the vehicle is only given an early warning based on the speed of the vehicle, without considering the driving characteristics of the vehicle and the characteristics of the environment in which it is located, and does not collect and analyze the past driving characteristic information of the vehicle. The effective guidance of the operator enables the vehicle to correct the dangerous state as soon as possible

Method used

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  • Driving safety monitoring system and method based on big data analysis
  • Driving safety monitoring system and method based on big data analysis
  • Driving safety monitoring system and method based on big data analysis

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Embodiment Construction

[0069] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments to facilitate a clear understanding of the present invention, but they do not limit the present invention.

[0070] Such as figure 1 As shown, the present invention is a driving safety monitoring system based on big data analysis, including

[0071] The vehicle control system 1 is used to collect real-time driving information of multiple vehicles. The driving information includes vehicle identification codes, regional location information, vehicle status information, and driver operating characteristic parameters in the regional location and environment;

[0072] The vehicle data server 2 is used to receive real-time driving information of multiple vehicles, and analyze the vehicle identification code and geographical position information therein, transmit the vehicle identification code and geographical position information to the envir...

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Abstract

The invention discloses a driving safety monitoring system and method based on big data analysis. The system comprises a vehicle control system, a vehicle data server, an environment data server and a big data analysis server. According to the method, when the big data analysis server receives real-time vehicle state information, driver operation characteristic parameters and environment information sent by the vehicle data server and the environment data server, the regional position information of a vehicle is compared with the regional position information of a traffic safety accident; when the real-time regional position of the vehicle is close to the regional position of the traffic safety accident, the real-time vehicle state information, the driver operation characteristic parameters and the environment information are compared with the characteristic parameters of the vehicle state information, the driver operation characteristic parameters and the environment information of the traffic safety accident; and the state information of the vehicle with the accident and the operation parameters of the driver of the vehicle with the accident are transmitted to the vehicle control system through a data communication network, and the vehicle control system prompts the driver to pay attention.

Description

technical field [0001] The invention belongs to the technical field of Internet of Vehicles big data and vehicle control, and in particular relates to a driving safety monitoring system and method based on big data analysis. Background technique [0002] Today, when traffic jams become the norm and vehicles rear-end, scratch, and collide frequently, solving the problems of safe driving and efficient travel, meeting the needs of traffic safety and travel efficiency drive the development of automotive multi-dimensional perception fusion control technology. Many cases of traffic accidents are caused by inexperienced drivers. Today's safety monitoring does not achieve targeted tracking, monitoring and guidance, and is generally dealt with after traffic accidents occur. [0003] With the continuous development of computer and network technology, especially the continuous development of various technologies such as big data information extraction, big data storage, and big data an...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G07C5/00G07C5/08G08G1/0967H04L29/08
CPCG07C5/008G07C5/085H04L67/12G08G1/096775H04L67/52Y02P90/02
Inventor 赵征澜李昭明张丽白志浩桑彩薇
Owner DONGFENG MOTOR GRP
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