Vehicle data processing method and vehicle data processing system

Abstract

The invention provides a vehicle data processing method and a vehicle data processing system, and relates to the field of vehicle communication. The vehicle data processing method is configured to process data generated by an automatic driving vehicle, and comprises transmitting the real-time data generated by the vehicle in an automatic driving mode to a cloud data analysis platform, wherein thecloud data analysis platform receives and analyzes the real-time data and stores a real-time data analysis result in order to transmit, when receiving a query request of a client, the real-time data analysis result corresponding to the query request to the client. The invention also provides a corresponding system. The vehicle data processing method can not only improve vehicle data processing efficiency, but also can effectively improve user satisfaction.

Description

technical field [0001] The invention relates to the field of vehicle communication, in particular to a vehicle data processing method and a vehicle data processing system. Background technique [0002] As we all know, there are a lot of messages and signals generated by the vehicle CAN bus, and the types and quantities of vehicles produced by vehicle OEMs every year are huge. From the perspective of intelligent driving vehicle big data analysis, how to conduct unified query and retrieval of massive big data generated by multiple intelligent networked vehicles, which not only meets the requirements of real-time data change display, but also meets the statistical analysis of vehicle historical big data It is very technically challenging to demonstrate the requirements, and more importantly, to ensure fast (second-level request response) query performance and a good user retrieval experience. [0003] At the same time, intelligent networked vehicles usually conduct actual road...

AI Technical Summary

Problems solved by technology

From the perspective of intelligent driving vehicle big data analysis, how to conduct unified query and retrieval of massive big data generated by multiple intelligent networked vehicles, which not only meets the requirements of real-time data change display, but also meets the statistical analysis of vehicle historical big data Demonstrating requirements, and more importantly, ensuring fast (second-level request response) query performance and a good user retrieval experience are very technically challenging

[0003] At the same time, intelligent networked vehicles usually conduct actual road tests in different time periods and under different road conditions. In many cases, testers need to immediately conduct statistical analysis reports after completing this road test and combining the vehicle's historical road test data. The workload and labor costs are huge; how to effectively combine historical vehicle data with current actual road test data, and automatically and quickly complete the statistical analysis process of vehicle road test data is also a challenge

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