Vehicle end and server end data rapid interaction system and method

Abstract

The invention provides a vehicle end and server end data rapid interaction system and method, a vehicle end multi-source sensor is installed on an experimental vehicle and used for obtaining the surrounding environment of the experimental vehicle and the driving state of a driver, and a vehicle end data acquisition subsystem is used for acquiring information of the vehicle end multi-source sensor and a vehicle CAN bus. The vehicle-end acquisition subsystem is connected with the vehicle-end high-capacity data transmission and storage subsystem through a network port, and the vehicle-end high-capacity data transmission and storage subsystem is used for storing information acquired by the vehicle-end acquisition subsystem and transmitting and transferring the information into the server-end high-capacity data transfer and storage subsystem for processing. According to the system and the method provided by the invention, acquisition of driving behavior association indexes can be realized based on the vehicle-end multi-source sensor, the vehicle CAN bus and the vehicle-end data acquisition system, and transmission and storage of vehicle-end data are realized through the vehicle-end high-capacity data transmission and storage system; and data transfer and post-processing are realized through a server-side large-capacity data transfer and storage system.

Description

technical field [0001] The invention belongs to the fields of driving behavior data collection and big data transmission, storage, and transfer, and in particular relates to a system and method for fast data interaction between a vehicle end and a server end. Background technique [0002] Studying the driving behavior of drivers of characteristic groups often requires collecting a large amount of driver information and real road driving data. This type of data consists of images, data tables, audio and video files, etc., including vehicle information, road information, target information and various Weather, temperature and humidity climate environment information, etc. The original data has the characteristics of multi-source heterogeneity and huge data volume, so it is difficult to conduct effective analysis and evaluation directly on the vehicle side. All data needs to be transferred to the server side for offline analysis and processing by R&D personnel, and the results ...

AI Technical Summary

Problems solved by technology

Acquisition requirements for driving behavior of characteristic groups: First, a large amount of data storage hard disk is required, especially for continuous driving behavior data collection tasks, it is difficult to carry out effective data management; the method of connecting an external hard disk to an industrial computer is also prone to unstable data transmission resulting in various types of data Problems such as segment loss and video frame loss seriously affect the quality of collected data; hard disk damage and loss are prone to occur during frequent physical transfers; finally, it takes a lot of time to copy the data stored in the data storage hard disk to the server. At the same time, it is difficult to ensure a non-destructive copy of the data. It takes a lot of time to check the integrity of the data, which affects the post-processing speed of the data of the R&D personnel, and ultimately affects the progress of the overall driving behavior collection.

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