Driving data packet compression timing calculation method and data packet compression device

Abstract

The invention discloses a driving data packet compression timing calculation method and a data packet compression device. The method comprises the following steps: a process of collecting data packets; a process of analyzing speed and acceleration of the newly collected data packets; a process of determining to collect valid data packets according to the analysis result; a process of screening thedata packets to be compressed; and a process of compressing the data packets. The device comprises: a data acquisition module, a memory, a data processing module, a control module and a data compression module which are connected in sequence, wherein the controller is further connected with a timer. By filtering the data packets on the equipment side, the driving data packet compression timing calculation method and data packet compression device can filter out a large number of invalid data packets, which greatly saves the amount of uploaded data packets, and saves computational overhead ofthe equipment end and the platform end. At the same time, the compressed data packets are complete and clear on the event description. Data packet compression can save network overhead and prevent packet loss.

Description

technical field [0001] The invention relates to the field of Internet of Vehicles, in particular to a method for calculating the compression timing of driving data packets and a data packet compression device. Background technique [0002] In the context of the Internet of Things, the technology of collision detection using on-board equipment is slowly emerging in the industry. In the collision detection technology based on ordinary GNSS+g-sensor equipment, there is a technology that uses equipment to upload driving data to the platform in real time for collision detection. However, due to the large amount of driving data transmitted in real time, the bandwidth overhead of network transmission is increased, which is likely to cause network congestion and transmission delay, and to pay high communication fees (for data transmission). At the same time, the equipment side and platform side The driving data transmitted in real time needs to be processed, and the computational o...

AI Technical Summary

Problems solved by technology

However, due to the large amount of driving data transmitted in real time, the bandwidth overhead of network transmission is increased, which is likely to cause network congestion and transmission delay, and to pay high communication fees (for data transmission). At the same time, the equipment side and platform side It is necessary to process the driving data transmitted in real time, and the calculation cost is large

[0003] Considering that for a single vehicle, there is a lot of compressed data that has nothing to do with collision detection, and these data have little reference value for collision analysis, that is, they do not need to be uploaded

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