Travel analysis method and device based on vehicle engine state

Abstract

The invention discloses a travel analysis method and device based on a vehicle engine state, and the method comprises the steps: monitoring the generated engine state data in real time according to avehicle through employing a big data real-time calculation technology; performing travel segmentation based on the engine state of the vehicle at the current moment and the latest engine state storedin the latest state library; and if the result of the stroke segmentation is to open the new stroke, comparing the current stroke state with the new stroke state according to the stroke aggregation condition, and performing stroke aggregation on the stroke meeting the stroke aggregation condition. According to the method, only the state data of the transmitter is used as a travel analysis key condition, the vehicle travel data can be effectively generated, large-scale quasi-real-time automatic segmentation analysis of the vehicle travel is realized, and compared with the existing travel analysis, the calculation cost can be greatly saved, and the travel analysis efficiency and accuracy are improved.

Description

technical field [0001] The invention relates to the field of big data processing of the Internet of Vehicles, in particular to a method and device for analyzing a journey based on the state of a vehicle engine. Background technique [0002] With the acceleration of vehicle networking, the frequency and signal volume of single-vehicle collection are increasing. Even single-vehicles will generate a considerable amount of data every day, and multi-vehicles will even more. How to effectively analyze this massive data is a test for us. If we simply rely on the expansion of the server to meet the massive analysis, although it can meet the analysis requirements, it will bring a sharp increase in cost and reduce the analysis efficiency. Therefore, we need to reduce the dimensionality of the massive vehicle data according to the itinerary, that is, reduce the overall data volume, and facilitate various data analysis, such as: driving behavior analysis, operation statistics analysis, ...

AI Technical Summary

Problems solved by technology

How to effectively analyze this massive data is a test for us. If we simply rely on the expansion of the server to meet the massive analysis, although it can meet the analysis requirements, it will bring a sharp increase in cost and reduce the analysis efficiency. Therefore, we need to reduce the dimensionality of the massive data of the vehicle according to the itinerary, that is, reduce the overall data volume, and facilitate various data analysis, such as: driving behavior analysis, operational statistical analysis, frequent trajectory analysis, etc.

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