Vehicle alarm method based on vehicle networking system

Abstract

The invention discloses a vehicle alarm method based on a vehicle networking system, the vehicle networking system comprises a vehicle management platform and a vehicle-mounted terminal, and the vehicle alarm method is realized through the following steps: S1, the vehicle management platform collects original alarm data reported by the vehicle-mounted terminal; s2, an overspeed driving model, a fatigue driving model and a dangerous driving model are preset on the vehicle management platform, and the vehicle management platform carries out induction calculation on the alarm information of the vehicle according to the three models in combination with the multi-dimensional parameters; s3, dangerous events really needing to be concerned are obtained, and the dangerous events are called alarm events; an alarm event includes a plurality of alarms of the vehicle and an operating state of the vehicle during the alarm event. According to the vehicle alarm method, real risky vehicle alarm information can be rapidly obtained, a large amount of invalid alarm data can be filtered out, monitoring personnel can rapidly find the real risky vehicle, a driver is effectively reminded, and the purpose of preventing accidents in advance is achieved.

Description

technical field [0001] The invention relates to the field of the Internet of Vehicles, in particular to a vehicle alarm method based on the Internet of Vehicles system. Background technique [0002] The existing Internet of Vehicles system will collect the alarm information reported by the vehicle terminal during the operation of the vehicle, including ADAS (Advanced driver assistant system, advanced driver assistance system), BSD (Blind Spot Detection, blind spot detection), DSM (Driver State Monitoring, Driver status monitoring), TPMS (Tire pressure monitoring systems, tire pressure monitoring system), GPS alarm, etc., with alarm video and alarm picture information uploaded when the alarm is uploaded, used to monitor the vehicle's working status during driving and the driver's various dangerous driving behavior. [0003] However, there are the following shortcomings and deficiencies in the actual operation of the existing technical solutions: on the one hand, due to the l...

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Problems solved by technology

[0003] However, there are the following shortcomings and deficiencies in the actual operation of the existing technical solutions: on the one hand, due to the limitation of the image recognition algorithm of the vehicle terminal, the system will generate a lot of false positive data; degree of danger

[0004] Therefore, in the monitoring of the existing Internet of Vehicles system, there will be a large amount of invalid alarm data. It is difficult for the monitoring personnel to find the real risky vehicles due to the influence of these invalid data in the process of processing the alarm. Therefore, it is difficult to effectively remind the driver. To achieve the purpose of accident prevention in advance

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