Data Compression and Transmission Method of Vehicle Monitoring Information Collection Based on CAN Bus

Abstract

Real-time remote monitoring and fault diagnosis for commercial buses has important significance in reducing the occurrence of potential accidents. This paper presents a real-time remote monitoring system for the running state of commercial passenger buses. The vehicle Controller Area Network (CAN) bus is able to collect the information of key indicators being monitored, such as brake pressure, oil pressure and fault code. Then, the collected data are uploaded to the central remote monitoring platform through a General Packet Radio Service (GPRS) module for further analysis and decision-making. In this work, a classification based data acquisition method and a hybrid configuration data transmission method are proposed to improve the efficiency of data acquisition and transmission. The authors also proposed a Run-length based relative coding algorithm to compress the massive monitoring data. Experimental results shows the average data compression ratio is 32.17%, which effectively reduces the data transmission cost.