Soeks-based intelligent vehicle knowledge representation and vehicle state abnormality discrimination method

Abstract

The invention belongs to the technical field of smart vehicle safety, discloses a method for judging intelligent vehicle knowledge representation and vehicle state abnormality based on SOEKS, and abstracts involved information of completely different nature and different dimensions into a unified knowledge expression form based on SOEKS; and It is accommodated in a hierarchical and structured smart vehicle knowledge framework; the normal driving data of the vehicle is collected and stored according to the above SOEKS knowledge representation and framework structure, and the stored information includes the original data and the summarized simple rules; finally, the simple rules that cannot be expressed Complex combination, using neural network technology to establish a vehicle normal state model. This method finds abnormalities through the difference from the model collected and trained under normal circumstances, and the simple rule experience recorded by the SOEKS structure can quickly judge single-factor abnormalities, and the judgment efficiency is high; the experiment proves that the detection rate for whether the vehicle state is normal can reach More than 90%, and the judgment is at the millisecond level, meeting the usage requirements.

Description

technical field [0001] The invention belongs to the technical field of intelligent vehicle safety, and in particular relates to a vehicle knowledge representation and state abnormality discrimination method based on SOEKS. Background technique [0002] At present, China is becoming the country with the largest production and purchase of vehicles in the world. The launch of Tesla vehicles has set off an upsurge in the informatization and intelligence of the vehicle industry, and the improvement of the intelligence of vehicles has become a trend. However, with the improvement of vehicle intelligence, some potential safety hazards have begun to be discovered by hackers. Users face the threat of cyber attacks while driving, which may cause vehicle loss of control, denial of service, etc., which seriously affect the safety of users' lives and property. Overall, the industry's exploration of vehicle information security systems is still in its infancy, and regulations, industry s...

AI Technical Summary

Problems solved by technology

[0006] Today's on-board systems of vehicles are vulnerable to remote network attacks, causing serious impacts such as loss of vehicle control and denial of service. The current on-board systems have no way to detect these attacks at all, and there is no way to defend against such attacks

However, most of the existing research is based on the external conditions of the vehicle, such as obstacles, etc., and seldom pays attention to the information of each ECU (Electronic Control Unit, electronic control unit) and CAN bus inside the vehicle system.

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