Automobile state abnormity identification method and system based on time sequence transfer and storage medium

Abstract

The invention relates to an automobile state abnormity identification method and system based on time sequence transfer and a storage medium, and belongs to the field of automobile electronic systems. The method comprises the following steps: constructing a time sequence state table containing states such as normal wake-up, abnormal wake-up, sleep, data loss, engine starting and non-sleep after fortification, extracting vehicle time sequence states, listing related active wake-up sources, and constructing a vehicle time sequence state transition table associated with state transition based on a vehicle signal table and the time sequence states; and extracting the abnormal state of the vehicle according to the time sequence state table by using the active wake-up source, constructing a network abnormal data table, and remotely identifying the abnormal condition of the vehicle and the starting and ending moments of the fault according to the network abnormal data table, thereby realizing remote detection and monitoring of the vehicle abnormity in the parking state.

Description

[0001] The invention belongs to the field of automobile electronic systems, and in particular relates to a method for identifying abnormal state of automobiles based on time series state transfer. Background technique [0002] Automobile intelligence has become the development trend of automobiles. Vehicle-cloud collaboration is the basis for realizing automobile intelligence. With the deepening of the awareness of Internet cars, more directions will be discovered in the Internet of automobile data. Vehicle network anomaly identification is an important direction for researching vehicle Internet data. Vehicle network anomalies will cause problems such as vehicle power loss and unstable transmission data. [0003] At present, external Can devices are usually used to detect the status of the vehicle network. This method has the following disadvantages: the time period for obtaining vehicle Can data is long; Can devices require additional costs; batch detection is difficult, and n...

AI Technical Summary

Problems solved by technology

[0006] The present invention aims at the problem that the existing technology does not monitor the state of the car during the lock period in real time, and cannot provide the user with a remote early warning in real time, and extracts the state signals of the components related to the human operation after the vehicle is locked, and uses the vehicle signal table with time stamp as the Input, and construct a sequential state table through the sequential state transition conditions, and then extract abnormal wake-up, non-sleep after fortification, and data loss vehicle network abnormalities from the sequential state transition table to realize the detection and monitoring of vehicle abnormal states

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