New energy automobile data acquisition real-time restoration method

Abstract

The invention provides a data acquisition and real-time restoration method for a new energy automobile. The method comprises the following steps: S1, dynamically loading and configuring a vehicle-end SDK (Software Development Kit); s2, screening signals meeting conditions by adopting a filtering strategy; s3, caching the change signal; s4, rearranging the signal data, and packaging by adopting time offset; s5, performing TEA encryption on the signal data; s6, reporting the signal data according to the reporting frequency; and S7, reconnecting off-line storage after disconnection. According to the method, data needing to be reported is subjected to early-stage processing by means of a vehicle end SDK mechanism, the reported data volume is reduced and the reported data size is reduced through a data filtering mechanism, reorganization of a reported data format, a compression algorithm and an encryption algorithm, and the data security is ensured on the premise that the data reporting performance is not changed. The data acquisition real-time restoration method has the advantages of being small in reported data volume, saving flow, reducing communication load and reducing analysis pressure of a server side.

Description

technical field [0001] The invention relates to the field of data processing of new energy vehicles, in particular to a method for collecting and restoring data of new energy vehicles in real time. Background technique [0002] Due to the large number of sensors on a large number of electronic components of new energy electric vehicles, the amount of signals collected and reported by data is much larger than that of traditional vehicles, and some models even have more than 3,000 signals. Therefore, in the process of reporting data to the cloud platform, the challenges encountered They are very large, and they are problems such as high traffic, packet loss, difficult restoration, and low security. There are mainly the following problems: [0003] 1. New energy electric vehicles use a large number of electronic components and a large number of sensors collect a large amount of data at high frequency, so the flow of data reporting is very large and the communication load is hi...

AI Technical Summary

Problems solved by technology

[0006] The invention solves the problems of large data volume, high communication load, data packet loss, low processing efficiency, inability to flexibly configure analysis frequency and low security encountered in the real-time restoration process of traditional new energy vehicles, and a new energy vehicle data collection The real-time restoration method includes a custom data reporting format protocol, time offset storage optimization, configurable restoration frequency, lightweight encrypted data transmission, and cache change signal events. Relying on the vehicle-side SDK mechanism, the data that needs to be reported will be processed in the early stage. Processing, through the data filtering mechanism, reorganize the reporting data format, compression algorithm, encryption algorithm to reduce the amount of reported data, reduce the size of the reported data, and ensure the security of the data without changing the performance of data reporting

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